• Full Consumer Contact Data info for 230M US Inviduals
• Email, Postal Address, Phone (Mobile and Landline)
• Age, Income, Gender, Household Income, Net Worth, Married, Single, Children, Homeowners, Location
• MAIDs Available for Mobile Device Targeting

The dataset is provided in the form of an excel files with 5 tabs. The first three excel tabs constitute demonstration data on the set up of consumer wearable device for exposure and health monitoring in population studies while the two last excel tabs include the full dataset with actual data collected using the consumer wearable devices in Cyprus and Greece respectively during the Spring of 2020. The data from the last two tabs were used to assess the compliance of asthmatic schoolchildren (n=108) from both countries to public health intervention levels in response to COVID-19 pandemic (lockdown and social distancing measures), using wearable sensors to continuously track personal location and physical activity. Asthmatic children were recruited from primary schools in Cyprus and Greece (Heraklion district, Crete) and were enrolled in the LIFE-MEDEA public health intervention project (Clinical.Trials.gov Identifier: NCT03503812). The LIFE-MEDEA project aimed to evaluate the efficacy of behavioral recommendations to reduce exposure to particulate matter during desert dust storm (DDS) events and thus mitigate disease-specific adverse health effects in vulnerable groups of patients. However, during the COVID-19 pandemic, the collected data were analysed using a mixed effect model adjusted for confounders to estimate the changes in 'fraction time spent at home' and 'total steps/day' during the enforcement of gradually more stringent lockdown measures. Results of this analysis were first presented in the manuscript titled “Use of wearable sensors to assess compliance of asthmatic children in response to lockdown measures for the COVID-19 epidemic” published by Scientific Reports (https://doi.org/10.1038/s41598-021-85358-4). The dataset from LIFE-MEDEA participants (asthmatic children) from Cyprus and Greece, include variables: Study ID, gender, age, study year, ambient temperature, ambient humidity, recording day, percentage of time staying at home, steps per day, callendar day, calendar week, date, lockdown status (phase 1, 2, or 3) due to COVID-19 pandemic, and if the date was during the weekend (binary variable). All data were collected following approvals from relevant authorities at both Cyprus and Greece, according to national legislation. In Cyprus, approvals have been obtained from the Cyprus National Bioethics Committee (EEBK EΠ 2017.01.141), by the Data Protection Commissioner (No. 3.28.223) and Ministry of Education (No 7.15.01.23.5). In Greece, approvals have been obtained from the Scientific Committee (25/04/2018, No: 1748) and the Governing Board of the University General Hospital of Heraklion (25/22/08/2018).

Overall, wearable sensors, often embedded in commercial smartwatches, allow for continuous and non-invasive health measurements and exposure assessment in clinical studies. Nevertheless, the real-life application of these technologies in studies involving many participants for a significant observation period may be hindered by several practical challenges. Using a small subset of the LIFE-MEDEA dataset, in the first excel tab of dataset, we provide demonstration data from a small subset of asthmatic children (n=17) that participated in the LIFE MEDEA study that were equipped with a smartwatch for the assessment of physical activity (heart rate, pedometer, accelerometer) and location (exposure to indoor or outdoor microenvironment using GPS signal). Participants were required to wear the smartwatch, equipped with a data collection application, daily, and data were transmitted via a wireless network to a centrally administered data collection platform. The main technical challenges identified ranged from restricting access to standard smartwatch features such as gaming, internet browser, camera, and audio recording applications, to technical challenges such as loss of GPS signal, especially in indoor environments, and internal smartwatch settings interfering with the data collection application. The dataset includes information on the percentage of time with collected data before and after the implementation of a protocol that relied on setting up the smartwatch device using publicly available Application Lockers and Device Automation applications to address most of these challenges. In addition, the dataset includes example single-day observations that demonstrate how the inclusion of a Wi-Fi received signal strength indicator, significantly improved indoor localization and largely minimised GPS signal misclassification (excel tab 2). Finally excel tab 3, shows the tasks Overall, the implementation of these protocols during the roll-out of the LIFE MEDEA study in the spring of 2020 led to significantly improved results in terms of data completeness and data quality. The protocol and the representative results have been submitted for publication to the Journal of Visualised experiments (submission: JoVE63275). The Variables included in the first three excel tabs were the following: Participant ID (Unique serial number for patient participating in the study), % Time Before (Percentage of time with data before protocol implementation), % Time After (Percentage of time with data after protocol implementation), Timestamp (Date and time of event occurrence), Indoor/Outdoor (Categorical- Classification of GPS signals to Indoor and Outdoor and null(missing value) based on distance from participant home), Filling algorithm (Imputation algorithm), SSID (Wireless network name connected to the smartwatch), Wi-Fi Signal Strength (Connection strength via Wi-Fi between smartwatch and home’s wireless network. (0 maximum strength), IMEI (International mobile equipment identity. Device serial number), GPS_LAT (Latitude), GPS_LONG (Longitude), Accuracy of GPS coordinates (Accuracy in meters of GPS coordinates), Timestamp of GPS coordinates (Obtained GPS coordinates Date and time), Battery Percentage (Battery life), Charger (Connected to the charger status).

Important notes on data collection methodology: Global positioning system (GPS) and physical activity data were recorded using LEMFO-LM25 smartwatch device which was equipped with the embrace™ data collection application. The smartwatch worked as a stand-alone device that was able to transmit data across 5-minute intervals to a cloud-based database via Wi-Fi data transfer. The software was able to synchronize the data collected from the different sensors, so the data are transferred to the cloud with the same timestamp. Data synchronization with the cloud-based database is performed automatically when the smartwatch contacts the Wi-Fi network inside the participants’ homes. According to the study aims, GPS coordinates were used to estimate the fraction of time spent in or out of the participants' residences. The time spent outside was defined as the duration of time with a GPS signal outside a 100-meter radius around the participant’s residence, to account for the signal accuracy in commercially available GPS receivers. Additionally, to address the limitation that signal accuracy in urban and especially indoor environments is diminished, 5-minute intervals with missing GPS signals were classified as either “indoor classification” or “outdoor classification” based on the most recent available GPS recording. The implementation of this GPS data filling algorithm allowed replacing the missing 5-minute intervals with estimated values. Via the described protocol, and through the use of a Device Automation application, information on WiFi connectivity, WiFi signal strength, battery capacity, and whether the device was charging or not was also made available. Data on these additional variables were not automatically synchronised with the cloud-based database but had to be manually downloaded from each smartwatch via Bluetooth after the end of the study period.

This table contains 2376 series, with data for years 2015 - 2015 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (11 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia; ...); Age group (3 items: Total, 6 to 17 years; 6 to 11 years; 12 to 17 years); Sex (3 items: Both sexes; Males; Females); Children's screen time (3 items: Total population for the variable children's screen time; 2 hours or less of screen time per day; More than 2 hours of screen time per day); Characteristics (8 items: Number of persons; Low 95% confidence interval, number of persons; High 95% confidence interval, number of persons; Coefficient of variation for number of persons; ...).

The Chinese Kids Speech database (Lower Grade) contains the total recordings of 184 Chinese Kids speakers (98 males and 86 females), from 6 to 10 years’ old recorded in quiet rooms using smartphone. This database may be combined with the Chinese Kids Speech database (Upper Grade) also available in the ELRA Catalogue under reference ELRA-S0497.Number of speakers, utterances, duration and age are as follows :Number of speakers (Male/Female): 184 (98/86)Number of utterances (average): 237 utt/spkrTotal number of utterances: 43,667Age: from 6 to 10Total hours of data: 871,426 sentences were used. Recordings were made through smartphones and audio data stored in .wav files as sequences of 16KHz Mono, 16 bits, Linear PCM.Database・Audio data: WAV format, 16KHz, 16bit, mono (recorded with smartphone)・Transcription data: TSV format(tab-delimited), UTF-8 (without BOM) ), Line ending: LF・Size: 9.4GBAgeMaleFemaleTotal611617711819818294794736831011718Structure of database :├─ readme.txt├─ Chinese Kids Speech Database (Lower grade).pdfDescription document of the database├─ transcription(Lower).tsvTranscription└─ Low/directory of audio data └─ (1st/2nd/3rd)directory of version ID └─(0/1)directory of gender (0: male, 1: female) └─(audio_file)audio file (WAV format, 16KHz, 16bit, mono)Field information of “transcription(Lower).tsv” are as follows:Field numberContents0Script ID1Speaker ID2Audio file name3Transcription (in Chinese)File naming conventions of audio files are as follows:Field numberContentsDescriptionRemarks0Script IDFour digitsXXXX: four digits1Speaker IDThree digitsXXX: three digits2AgeTwo digitsFrom 06 to 103Gender0: male, 1: female4Utterance No.Three digitsSequential numbering starting from 001 within each speaker5Recording dateYYYYMMDDHHMM6Recording device nameRecording device nameEx. NTH-AN007OSOperating System info of recording deviceEx. android-118Durationduration in msecDuration of the actual spoken utteranceFiled separation character is “_”.For example, if the audio file name is “1318_373_09_1_010_202205041857_NTH-AN00_android-11_5480.wav “, this file has the following meaning:1318: script ID373: speaker ID09: age (nine years old)1: gender (female)010: utterance number202205041857: recording date (May 4, 2022, at 6:57 PM)NTH-AN00: recording device nameandroid-11: operating system info of recording device5480: duration of the actual spoken utterance (5,480 msec)

Abstract copyright UK Data Service and data collection copyright owner.The Health Survey for England (HSE) is a series of surveys designed to monitor trends in the nation's health. It was commissioned by NHS Digital and carried out by the Joint Health Surveys Unit of the National Centre for Social Research and the Department of Epidemiology and Public Health at University College London.The aims of the HSE series are:to provide annual data about the nation’s health;to estimate the proportion of people in England with specified health conditions;to estimate the prevalence of certain risk factors associated with these conditions;to examine differences between population subgroups in their likelihood of having specific conditions or risk factors;to assess the frequency with which particular combinations of risk factors are found, and which groups these combinations most commonly occur;to monitor progress towards selected health targetssince 1995, to measure the height of children at different ages, replacing the National Study of Health and Growth;since 1995, monitor the prevalence of overweight and obesity in children.The survey includes a number of core questions every year but also focuses on different health issues at each wave. Topics are revisited at appropriate intervals in order to monitor change. Further information about the series may be found on the NHS Digital Health Survey for England; health, social care and lifestyles webpage, the NatCen Social Research NatCen Health Survey for England webpage and the University College London Health and Social Surveys Research Group UCL Health Survey for England webpage. Changes to the HSE from 2015:Users should note that from 2015 survey onwards, only the individual data file is available under standard End User Licence (EUL). The household data file is now only included in the Special Licence (SL) version, released from 2015 onwards. In addition, the SL individual file contains all the variables included in the HSE EUL dataset, plus others, including variables removed from the EUL version after the NHS Digital disclosure review. The SL HSE is subject to more restrictive access conditions than the EUL version (see Access information). Users are advised to obtain the EUL version to see if it meets their needs before considering an application for the SL version. The Health Survey for England, 2000 (HSE00) consisted of two samples. The general population sample was a national cross-section sample. Up to two children aged 2-15 years were interviewed in each household, as well as up to 10 adults aged 16 years and over. All private households in the general population sample were eligible for inclusion in the survey (up to a maximum of three households per address). Running alongside the general population sample was a care homes sample, selected from the Laing and Bussion database. The sample contained nursing, residential, dual-registered and small residential homes and covered local authority, voluntary and privately-owned care homes. Up to six people aged 65 and over were selected for interview at each care home, and given a cognitive functioning test to see whether they were capable of being interviewed in person. Proxy interviews for those who were not capable of being interviewed were introduced in June 2000. For the fourth edition (July 2011), the GHQ12 variables were amended to correct errors in the GHQ12 scores. See document 'Note about GHQ12 problems in HSE Data' for details. Main Topics: The interview with informants from the general population sample included the question modules that are asked in most years in the Health Survey ('core' modules), such as general health and longstanding illnesses, use of health services, cigarette smoking, psycho-social health (GHQ12) and accidents. Also included in the 2000 survey were questions on disability (a repeat of the module used in the 1995 Health Survey), the Short-Form Health Outcomes (SF-12) questionnaire (for informants aged 16-64) and a new module on social capital and social exclusion. In addition to the 'core' question modules outlined above, informants in care homes were asked questions about cardiovascular disease (CVD) and respiratory symptoms, eating habits, physical activity and activities in the care home. The disability module was also included in the care home sample interview. A short interview with home managers included details about the type of care home, the number of residents and the availability of services and specialised equipment. Some administrative data and geographic identifiers have been removed from the dataset. Standard Measures:General Health Questionnaire (GHQ12) - copyright David Goldberg, 1978 reproduced by permission of NFER - NELSONMedical Research Council respiratory questionnaireStrengths and Difficulties Questionnaire (SDQ)Short-Form Health Outcomes (SF12) questionnaire Multi-stage stratified random sample Face-to-face interview Self-completion Clinical measurements Physical measurements CAPI 2000 2001 ACCIDENTS ADULTS AGE AGEING ALCOHOL USE ALCOHOLIC DRINKS ALCOHOLISM ANTHROPOMETRIC DATA ANXIETY BEDROOMS BICYCLES BLOOD BUILDING MAINTENANCE CARBOHYDRATES CARDIOVASCULAR DISE... CARDIOVASCULAR SYSTEM CARE OF DEPENDANTS CARE OF THE ELDERLY CAUSES OF DEATH CEREAL PRODUCTS CHILD BENEFITS CHILDREN CHRONIC ILLNESS CLINICAL TESTS AND ... CONCENTRATION CONFECTIONERY CONTRACEPTIVE DEVICES COUGHING CULTURAL IDENTITY DAIRY PRODUCTS DEBILITATIVE ILLNESS DEGREES DEMENTIA DEPRESSION DIABETES DIET AND EXERCISE DISABILITIES DISABLED PERSONS DISEASES DOMESTIC RESPONSIBI... ECONOMIC ACTIVITY EDIBLE FATS EDUCATIONAL BACKGROUND ELDERLY EMPLOYEES EMPLOYMENT EMPLOYMENT HISTORY ETHNIC GROUPS ETHNIC MINORITIES EXAMINATIONS EXERCISE PHYSICAL A... England FAMILIES FAMILY MEMBERS FATHERS FISH AS FOOD FRIENDS FRUIT FULL TIME EMPLOYMENT FURNISHED ACCOMMODA... GARDENING GENDER GENERAL PRACTITIONERS General health and ... HAEMATOLOGIC DISEASES HAPPINESS HEADS OF HOUSEHOLD HEALTH HEALTH ADVICE HEALTH CONSULTATIONS HEALTH PROFESSIONALS HEALTH SERVICES HEART DISEASES HEIGHT PHYSIOLOGY HOME OWNERSHIP HOSPITAL OUTPATIENT... HOSPITAL SERVICES HOSPITAL WAITING LISTS HOSPITALIZATION HOUSEHOLD HEAD S OC... HOUSEHOLDS HOUSEWORK HOUSING HOUSING TENURE Health care service... ILL HEALTH INCOME INDUSTRIAL INJURIES INDUSTRIES INJURIES JOB SEEKER S ALLOWANCE LANDLORDS LEISURE TIME ACTIVI... MANAGERS MARITAL STATUS MEAT MEDICAL CARE MEDICAL DIAGNOSIS MEDICAL HISTORY MEDICAL PRESCRIPTIONS MEMORY MILK MOTHERS MOTOR PROCESSES MOTOR VEHICLES NEIGHBOURHOODS OCCUPATIONAL PENSIONS OCCUPATIONAL QUALIF... OCCUPATIONS OLD AGE PAIN PARENTS PART TIME EMPLOYMENT PASSIVE SMOKING PATIENTS PERSONAL PROTECTIVE... PHYSICAL ACTIVITIES PHYSICIANS PLACE OF BIRTH PREGNANCY PRESCRIPTION DRUGS PRIVATE SECTOR QUALIFICATIONS RELIGIOUS AFFILIATION RENTED ACCOMMODATION RESIDENTIAL CARE OF... RESPIRATORY SYSTEM RESPIRATORY TRACT D... RETIREMENT ROAD ACCIDENTS SALT SAVINGS SAVOURY SNACKS SELF EMPLOYED SELF ESTEEM SHARED HOME OWNERSHIP SICK LEAVE SICK PERSONS SLEEP SMOKING SMOKING CESSATION SOCIAL CLASS SOCIAL HOUSING SOCIAL INTEGRATION SOCIAL SECURITY BEN... SOCIAL SUPPORT SOCIO ECONOMIC STATUS SPORT STATE RETIREMENT PE... STRESS PSYCHOLOGICAL STUDENTS SUPERVISORS SURGERY SYMPTOMS TIED HOUSING TOBACCO TOP MANAGEMENT TRANSPORT ACCIDENTS UNEMPLOYED UNFURNISHED ACCOMMO... VASCULAR DISEASES VEGETABLES VOCATIONAL EDUCATIO... WAGES WALKING WEIGHT PHYSIOLOGY YOUTH

Correlates of the Internet addiction test score and subscale scores from multiple linear regression (n = 1153).

Statistical comparison and linear discriminant analysis of audio feature between the Music Streaming Sessions Dataset and the Sleep Playlist Dataset.

Student survey: gender, age, time spent with parents, parental involvement in the school life of child, number of books in household. JeKI at elementary school, instrumental lessons at elementary school, period of instrumental lessons; current instrumental playing, current instrumental lessons, weekly music lessons at school. If participating in JeKi in elementary school: playing on JeKI instrument, reasons for instrumental playing, lessons on JeKi instrument, JeKi teacher, reasons for ending JeKi lessons, break from JeKi lessons, lessons on other instrument, different instrument, beginning of lessons, reasons for playing the other instrument, ending playing a third instrument, duration of playing a third instrument. If not participating in JeKi lessons: played instrument, lessons on instrument, duration of lessons, previous instrument played, duration of playing the previous instrument. Questions about music and other arts: singing in the choir, duration, joy and importance of listening to music and singing, hobbies, cultural activities in the last year, desire to play another instrument, which instrument. When instrumental lessons take place: longest played instruments, instrumental teacher, type of teaching, parental involvement in instrumental lessons, assessment of instrumental teacher, participation in music class at school. Pleasure in played instruments, company in practice, place of practice, playing in a music group, type of music played. Most frequently played instrument, frequency of playing, duration of practice, parental involvement in practice. Reasons for instrumental playing, assessment of one´s own musical abilities, way of practicing, behavior while practicing, ambition in practicing. Reasons for musical success, importance of different musical aspects, evaluation of one’s own musicality, goals in instrumental playing, dealing with distraction. Parent survey: gender of the child, participation of the child in instrumental lessons in private and at school, child’s instrument, musical activities of the family, common activities within the family, importance of musicality, cultural activities with the child, assessment of the child´s abilities and personality, importance of certain goals of education, participation in the child’s, importance of music in the family, satisfaction with the school performance of the child. Household size, number of children in household, number of older children living in household, type of housing, number of books in household, living together with other parent of child, employment of parents, employment relationship, occupational status, household income. Reasons for possible non-participation of the child in private instrumental lessons, exercise time of the child, frequency of playing the instrument, pleasure in practicing, satisfaction of the child with the instrument, frequency of support of the child in practice, ambition of the parents regarding the instrumental playing of the child, parent consultation by the child during instrument learning, parent supporting the child with instrumental learning, duration of weekly instrumental lessons, parental involvement in the child´s instrumental lessons, behavior of the instrument teacher, monthly fee for instrumental lessons, assessment of the fee, financing of the instrumental lessons, own instrument of the child, financing of the instrument. Demography: own age, country of birth mother / father / child, country of birth grandparents Germany, age of the child when moving to Germany, early musical support of the child, musical offer in the kindergarten, parents’ graduation, vocational training of the parents. Schülerbefragung: Geschlecht, Alter, Gemeinsame Zeit mit den Eltern, Anteilnahme der Eltern am schulischen Leben des Kindes, Anzahl der Bücher im Haushalt. JeKI an Grundschule, Instrumentalunterricht an Grundschule, Zeit des Instrumentalunterrichts; Instrumentalspielen momentan, Instrumentalunterricht momentan, Wochenstunden Musikunterricht im Schuljahr. Wenn Teilnahme an JeKi in Grundschule: Spielen auf JeKi Instrument, Gründe für Instrumentalspielen, Unterricht auf JeKi Instrument, JeKi Lehrer, Gründe für Abbruch des JeKi Unterrichts, Pause vom JeKi Unterricht, Unterricht auf anderem Instrument, anders Instrument, Beginn des Unterrichts, Gründe für Spielen des anderen Instruments, Beendigung Spielen eines dritten Instruments, Dauer Spielen eines dritten Instruments. Wenn nicht am JeKi Unterricht teilgenommen: gespieltes Instrument, Unterricht auf Instrument, Dauer des Unterrichts, früheres gespieltes Instrument, Dauer des Spielens des früheren Instruments. Fragen zu Musik und anderen Künsten: Singen im Chor, Dauer, Freude und Wichtigkeit von Musik hören und Singen, Hobbies, Kulturelle Aktivitäten im letzten Jahr, Lust noch ein Instrument zu spielen, welches Instrument. Wenn Instrumentalunterricht stattfindet: am längsten gespielte Instrumente, Instrumentallehrer, Art des Unterrichts, Anteilnahme der Eltern am Instrumentalunterricht, Beurteilung des Instrumentallehrers, Teilnahme an Musikklasse in der Schule. Gefallen an gespielten Instrumenten, Gesellschaft beim Üben, Ort des Übens, Spielen in einer Musikgruppe, Art der gespielten Musik. Am häufigsten gespieltes Instrument, Häufigkeit des Spielens, Dauer des Übens, Anteilnahme der Eltern am Üben. Gründe für Instrumentalspielen, Einschätzung der eigenen musikalischen Fähigkeiten, Art des Übens, Verhalten beim Üben, Ehrgeiz beim Üben. Gründe für musikalischen Erfolg, Wichtigkeit verschiedener musikalischer Aspekte, Bewertung der eigenen Musikalität, Ziele beim Instrumentalspielen, Verhalten bei Ablenkung. Elternbefragungen: Geschlecht des Kindes, Teilnahme des Kindes am Instrumentalunterricht in der Schule und privat, Instrument des Kindes, musikalische Aktivität der Familie, gemeinsame Aktivitäten innerhalb der Familie, Wichtigkeit von Musikalität, Kulturelle Aktivitäten mit dem Kind, Einschätzung der Fähigkeiten und der Persönlichkeit des Kindes, Wichtigkeit bestimmter Erziehungszielen, Anteilnahme am Leben des Kindes, Wichtigkeit von Musik in der Familie, Zufriedenheit mit den schulischen Leistungen des Kindes. Haushaltsgröße, Anzahl der Kinder im Haushalt, Anzahl älterer im Haushalt lebender Kinder, Wohnart, Anzahl Bücher im Haushalt, Zusammenleben mit anderem Elternteil des Kindes, Erwerbstätigkeit der Eltern, Beschäftigungsverhältnis, Berufliche Stellung, Haushaltseinkommen. Gründe für eventuelle nicht-Teilnahme des Kindes an privatem Instrumentalunterricht, Übungsdauer des Kindes, Häufigkeit des Instrumentalspielen des Kindes, Freude beim Üben, Zufriedenheit des Kindes mit dem Instrument, Häufigkeit der Unterstützung des Kindes beim Üben, Ehrgeiz der Eltern in Bezug auf das Instrumentalspielen des Kindes, Konsultation der Eltern durch das Kind beim Instrumentallernen, Unterstützung des Kindes durch die Eltern beim Instrumentallernen, wöchentliche Instrumentalunterrichtsdauer, Anteilnahme der Eltern am Instrumentalunterricht des Kindes, Verhalten des Instrumentallehrers, monatliche Gebühr für den Instrumentalunterricht, Beurteilung der Gebühr, Finanzierung des Instrumentalunterrichts, eigenes Instrument des Kindes, Finanzierung des Instruments. Demografie: eigenes Alter, Geburtsland Mutter / Vater / Kind, Geburtsland Großeltern Deutschland, Alter des Kindes bei Umzug nach Deutschland, musikalische Frühförderung des Kindes, musikalisches Angebot im Kindergarten, Schulabschluss der Eltern, berufliche Ausbildung der Eltern.

Number of occurrences of each of the top 20 genre categories in the Sleep Playlist Dataset.

The Women, Infants and Children (WIC) Program is a federally-funded health and nutrition program that provides assistance to pregnant women, new mothers, infants and children under age five. WIC helps California families by providing food benefits to individual participants based on their nutritional need and risk assessment. The food benefits can be used to purchase healthy supplemental foods from about 4,000 WIC authorized vendor stores throughout the State. WIC also provides nutritional education, breastfeeding support, healthcare referrals and other community services. Participants must meet income guidelines and other criteria. Currently, 84 WIC agencies provide services monthly to approximately one million participants at over 500 sites in local communities throughout the State.

Prior to June 2019, WIC issued paper food instruments (FIs) to individual participants for purchasing supplemental, nutritious foods. Beginning in June 2019, California WIC began transitioning to a new food delivery system, replacing the FI delivery system with the Electronic Benefit Transfer (EBT) system. California WIC completed this transition in March 2020. With the previous FI delivery system, participants were issued three or four paper FIs per month listing the foods that could be redeemed at authorized vendor stores. In order to take full advantage of their benefits in the FI delivery system, participants had to purchase all of the foods listed on a FI in a single transaction or lose that benefit. In contrast, in the EBT system a family’s benefits are combined and uploaded to one EBT card. Participants can use this card to purchase WIC foods as needed through the benefit expiry date without having to purchase foods that they don’t need yet and without risking losing their benefits.

The data files provided contain monthly and annual redemption information from the FI delivery system and the EBT system by the county in which WIC participants redeemed their food benefits. Because FIs are issued and redeemed at the participant level, the FI redemption data are presented with aggregation at the participant level (e.g., participant category). However, because EBT redemptions only occur at the family level, EBT data can only be presented with aggregation at the family level. Therefore, we provide two types of aggregated data:

1. WIC Redemption by Vendor County by Participant Category contains the number of FIs redeemed, the dollar amount of FIs redeemed, and the count of unique individual participants, from 2010 to 2018. This data is no longer available beyond 2018 due to transitioning from the FI delivery system to the EBT system.

2. WIC Redemption by Vendor County with Family Counts contains data from before and after the EBT transition period (i.e., 2010 – present), and provides the count of unique families instead of participants. It comprises three parts:

   • Part A contains only FI redemption data from 2010 to 2018;
   • Part B contains both the FI redemption data and the EBT redemption data for the EBT transition period that occurred in 2019 and 2020;
   • Part C contains only EBT redemption data for 2021 and forward.

The dollar amount of redemptions and the number of families redeeming benefits are expected to vary from month to month. Many of these monthly variations can be attributed to the number of days and holidays in a month. Additionally, in June 2021 the federal government approved a Cash Value Benefits (CVB) expansion, which resulted in a large increase in monthly EBT redemption amounts. The initial CVB expansion was implemented in California from June 2021 to September 2021 and provided $35 per month for all non-infant participants, increased from $9 - $11. The CVB expansion was subsequently extended several times. Effective October 1, 2023, CVB was set at new inflation-adjusted amounts where pregnant and postpartum individuals receive $47 per month, breastfeeding individuals receive $52 per month, individuals breastfeeding more than one infant receive $78 per month, and children ages 1-5 received $26 per month.

To ensure WIC participant and vendor anonymity, the redemption data has been suppressed when number of WIC vendors were less than 3 or number of redeemed participants or families were less than 11. The suppressed cells are annotated as “–“.

The Children at Risk (CAR) Program was a comprehensive, neighborhood-based strategy for preventing drug use, delinquency, and other problem behaviors among high-risk youth living in severely distressed neighborhoods. The goal of this research project was to evaluate the long-term impact of the CAR program using experimental and quasi-experimental group comparisons. Experimental comparisons of the treatment and control groups selected within target neighborhoods examined the impact of CAR services on individual youths and their families. These services included intensive case management, family services, mentoring, and incentives. Quasi-experimental comparisons were needed in each city because control group youths in the CAR sites were exposed to the effects of neighborhood interventions, such as enhanced community policing and enforcement activities and some expanded court services, and may have taken part in some of the recreational activities after school. CAR programs in five cities -- Austin, TX, Bridgeport, CT, Memphis, TN, Seattle, WA, and Savannah, GA -- took part in this evaluation. In the CAR target areas, juveniles were identified by case managers who contacted schools and the courts to identify youths known to be at risk. Random assignment to the treatment or control group was made at the level of the family so that siblings would be assigned to the same group. A quasi-experimental group of juveniles who met the CAR eligibility risk requirements, but lived in other severely distressed neighborhoods, was selected during the second year of the evaluation in cities that continued intake of new CAR participants into the second year. In these comparison neighborhoods, youths eligible for the quasi-experimental sample were identified either by CAR staff, cooperating agencies, or the staff of the middle schools they attended. Baseline interviews with youths and caretakers were conducted between January 1993 and May 1994, during the month following recruitment. The end-of-program interviews were conducted approximately two years later, between December 1994 and May 1996. The follow-up interviews with youths were conducted one year after the program period ended, between December 1995 and May 1997. Once each year, records were collected from the police, courts, and schools. Part 1 provides demographic data on each youth, including age at intake, gender, ethnicity, relationship of caretaker to youth, and youth's risk factors for poor school performance, poor school behavior, family problems, or personal problems. Additional variables provide information on household size, including number and type of children in the household, and number and type of adults in the household. Part 2 provides data from all three youth interviews (baseline, end-of-program, and follow-up). Questions were asked about the youth's attitudes toward school and amount of homework, participation in various activities (school activities, team sports, clubs or groups, other organized activities, religious services, odd jobs or household chores), curfews and bedtimes, who assisted the youth with various tasks, attitudes about the future, seriousness of various problems the youth might have had over the past year and who he or she turned to for help, number of times the youth's household had moved, how long the youth had lived with the caretaker, various criminal activities in the neighborhood and the youth's concerns about victimization, opinions on various statements about the police, occasions of skipping school and why, if the youth thought he or she would be promoted to the next grade, would graduate from high school, or would go to college, knowledge of children engaging in various problem activities and if the youth was pressured to join them, and experiences with and attitudes toward consumption of cigarettes, alcohol, and various drugs. Three sections of the questionnaire were completed by the youths. Section A asked questions about the youth's attitudes toward various statements about self, life, the home environment, rules, and norms. Section B asked questions about the number of times that various crimes had been committed against the youth, his or her sexual activity, number of times the youth ran away from home, number of times he or she had committed various criminal acts, and what weapons he or she had carried. Items in Section C covered the youth's alcohol and drug use, and participation in drug sales. Part 3 provides data from both caretaker interviews (baseline and end-of-program). Questions elicited the caretaker's assessments of the presence of various positive and negative neighborhood characteristics, safety of the child in the neighborhood, attitudes toward and interactions with the police, if the caretaker had been arrested, had been on probation, or in jail, whether various crimes had been committed against the caretaker or others in the household in the past year, activities that the youth currently participated in, curfews set by the caretaker, if the caretaker had visited the school for various reasons, school performance or problems by the youth and the youth's siblings, amount of the caretaker's involvement with activities, clubs, and groups, the caretaker's financial, medical, and personal problems and assistance received in the past year, if he or she was not able to obtain help, why not, and information on the caretaker's education, employment, income level, income sources, and where he or she sought medical treatment for themselves or for the youth. Two sections of the data collection instruments were completed by the caretaker. Section A dealt with the youth's personal problems or problems with others, and the youth's friends. Additional questions focused on the family's interactions, rules, and norms. Section B items asked about the caretaker's alcohol and drug use, and any alcohol and drug use or criminal justice involvement by others in the household older than the youth. Part 4 consists of data from schools, police, and courts. School data include the youth's grades, grade-point average (GPA), absentee rate, reasons for absences, and whether the youth was promoted each school year. Data from police records include police contacts, detentions, violent offenses, drug-related offenses, and arrests prior to recruitment in the CAR program and in Years 1-4 after recruitment, court contacts and charges prior to recruitment and in Years 1-4 after recruitment, and how the charges were disposed.

As of April 2024, around 16.5 percent of global active Instagram users were men between the ages of 18 and 24 years. More than half of the global Instagram population worldwide was aged 34 years or younger.

              Teens and social media

              As one of the biggest social networks worldwide, Instagram is especially popular with teenagers. As of fall 2020, the photo-sharing app ranked third in terms of preferred social network among teenagers in the United States, second to Snapchat and TikTok. Instagram was one of the most influential advertising channels among female Gen Z users when making purchasing decisions. Teens report feeling more confident, popular, and better about themselves when using social media, and less lonely, depressed and anxious.
              Social media can have negative effects on teens, which is also much more pronounced on those with low emotional well-being. It was found that 35 percent of teenagers with low social-emotional well-being reported to have experienced cyber bullying when using social media, while in comparison only five percent of teenagers with high social-emotional well-being stated the same. As such, social media can have a big impact on already fragile states of mind.

Evidence regarding screen use and outdoor activity during very early childhood (i. e., from aged 1 to 3 years) and their potential combined links to the later preschool myopia is limited. This information is needed to release effective public health messages and propose intervention strategies against preschool myopia. We collected information regarding very early childhood screen use, outdoor activity and the kindergartens vision screenings of 26,611 preschoolers from Longhua Child Cohort Study by questionnaires. Logistic regression models were used to examine the associations between reported outdoor activity, screen use from 1 to 3 years of age, and preschool myopia. Throughout very early childhood, from 1 to 3 years, the proportion of children exposed to screens increased (from 35.8 to 68.4%, p < 0.001), whereas the proportion of children who went outdoors ≥7 times/week (67.4–62.1%, p < 0.001) and who went outdoors for ≥60 min/time (53.3–38.0%, p < 0.001) declined. Exposure to fixed screen devices [adjusted odds ratio (AOR) = 2.66, 95% confidence interval (CI) = 2.09–3.44], mobile screen devices (AOR = 2.76, 95% CI = 2.15–3.58), and limited outdoor activity (AOR = 1.87, 95% CI = 1.42–2.51) during early childhood were associated with preschool myopia. Among children whose parents were myopic, the interactions between outdoor activity and fixed or mobile screen use on later preschool myopia were significant; the ORs and 95% CI were 3.34 (1.19–9.98) and 3.04 (1.06–9.21), respectively. Our findings suggest the possibility that the impact of screen exposure during early childhood on preschool myopia could be diminished by outdoor activity for children whose parents have myopia.

The data set contains the results of room acoustic measurements and additional information from 57 rooms in 19 different public preschools in the Gothenburg area (Sweden). The measurements were conducted during 2019-2020. Children at preschool are divided into units commonly, but not always, based on age. The presented data covers in total 31 different units aimed at older children. Up to three rooms per unit were measured, focusing on the main play rooms and the meal room. In cases where these rooms were the same, only one room per unit was measured.

The preschools are divided into three groups, strata, based on the year when they were built: 1980-1994, 1995-2006, and 2007-2018.

To reach an even distribution within each strata with respect to socioeconomic factors, we used an existing preschool-specific index acquired from the central preschool administration Jorsäter, M., Resursfördelningsmodell Göteborg 2019. 2019, Statistics Sweden (SCB). The index is based on a model from Statistics Sweden (SCB) where school performance after elementary school is linked with a number of explanatory variables related to the socioeconomic background of the individual child and her/his parents. When these factors are known for the children at a specific preschool, an averaged index is calculated, centered around 100. Preschools with an index over 100 have a larger share of children with a risk of not qualifying for high school (gymnasium). Preschools with an index less than 100 have a smaller share of children with a risk of not qualifying for high school. The purpose of the index is to prioritize economic support to school units with the highest need and increase equity.

Room acoustic parameters and unoccupied noise levels were measured in each room using a laptop and an external 8-channel sound card (HEAD acoustics SQuadriga II). An omnidirectional sound source with a built-in generation of pink noise (50-20000 Hz) was used to excite the room. A modification was made to the device in order to extract the electronic signal from the loudspeaker.

Unoccupied noise levels were measured in accordance with ISO 16032:2004. In some rooms the contribution from the ventilation could be estimated by conducting the measurements with the ventilation unit turned on and off separately.

Room acoustic measurements were conducted following the precision method in ISO 3382-2:2008. Three microphones were used simultaneously with predetermined height intervals (1±0.2, 1.4±0.2, 1.6±0.2). The standard’s recommendation to use natural source positions was implemented by placing the loudspeaker where we estimated that a child would have its head during sitting and standing activities in the room. In addition, a corner position was always used. Impulse responses were calculated by the software ArtemiS SUITE using the loudspeaker's extracted electronic signal as the reference.

Impulse responses and unoccupied sound pressure level spectra were exported to Matlab. Octave band room acoustic parameters were calculated for 125 – 8000 Hz from the impulse responses with the ITA-toolbox 8.6 [Berzborn, M., et al., The ITA-Toolbox: An Open Source MATLAB Toolbox for Acoustic Measurements and Signal Processing, in DAGA 2017. 2017: Kiel.]. The analysis was done for reverberation time T20 and EDT (Early decay time), and Speech Clarity, C50. An addition to the code was made to evaluate the Clarity index with a shorter time, C35, which uses 35 ms instead of the default 50 ms as suggested by Whitlock and Dodd [Whitlock, J.A.T. and G. Dodd, Speech Intelligibility in Classrooms: Specific Acoustical Needs for Primary School Children. Building Acoustics, 2008. 15(1): p. 35-47.]

Sound strength, G (dB), was calculated from the sound power of the loudspeaker LW (measured according to the ISO 3741 standard) and the resulting sound pressure level Lp in a measurement point: G=Lp - LW + 31 [SS-EN ISO 3382-1:2009].

Additional information collected during the measurements: Dimensions and shape of the room The floor and wall type of construction material is classified into heavy or lightweight A subjective evaluation of the degree of furnishing and categorized as sparse, normal or dense. Material type of the acoustic treatment in the ceiling: porous type (typical white mineral wool) or other various types, e.g. perforated gypsum boards Sound absorption on the walls* and their approximate total area

*The concept wall absorption is interpreted as a fabric or porous material mounted on, or in the vicinity of a wall and which was subjectively judged as acoustically absorbing.

The data set consists of seven spreadsheet files where each row contains data from one preschool room. Each preschool room is identified with 4 numbers: ROOM_ID1: Represents building year interval: “1”=1980-1994, “2”=1995-2006, “3”=2007-2018 ROOM_ID2: Represents the number of the preschool within each building year interval ROOM_ID3: Represents the unit number within each preschool ROOM_ID4: Represents the room number within each unit

Missing data is indicated with an empty cell.

The data is also available as semicolon-separated .csv files.

XLSX-file “INFO” SES = Socioeconomic index of preschool Volume = Volume of room in (m3) FloorA = Floor area (m2) Height_min / Height_max = height to inner ceiling (m) FurnDeg = Subjective furnishing degree, 1 = spares, 2 = normal, 3 = dense FloorConst = Floor construction, 1 = lighweight, 2 = heavy (concrete) WallConst = Wall construction, 1 = lightweight, 2 = heavy, 3= mixed CeilingAbs = Acoustic ceiling, 1 = porous (mineral wool), 2 = other (commonly perforated boards) wallAbs = Amount of wall absorbers (m2)

Measured room acoustic parameters are presented as room-averaged for the three different microphone heights separately: low = 1±0.2, mid = 1.4±0.2 and high = 1.6±0.2 m and for the octave bands from 125 Hz to 8000 Hz:

XLSX-file “T20” Reverberation time T20 (s)

XLSX-file “EDT” Early decay time (s)

XLSX-file “G” Sound strength (dB)

XLSX-file “C50” Speech Clarity (dB)

XLSX-file “C35” Speech Clarity with integration time 35 ms (dB)

Measured unoccupied noise levels are presented as Leq (equivalent) levels in 1/3 octave bands from 25 Hz to 10000 Hz in the spreadsheet file “BKG.xlsx”. For some rooms there is also an estimated contribution from the ventilation system to the background noise equivalent level.

XLSX-file “BKG” Equivalent level (dB)

Abstract

The cumulative effect of South Africa’s investments in early childhood development services – good health care and nutrition, parenting support, high quality early learning programmes (ELPs), and child safety and protection – can be determined by measuring the proportion of children who are developmentally ‘on track’ by the age of 5 years. No national data currently exists to track this important indicator. The South African Thrive by Five Index (formerly the SA Early Years Index) intends to address this gap. The Index will monitor trends over time in the proportion of preschool children who are on track for age in key areas of development. The aim is to use the data to strengthen collective efforts to ensure that more children receive the full suite of nurturing care and services they need to be On Track, and to support those children whose development is Falling Behind. The Index was initiated by First National Bank and Innovation Edge, in collaboration with the Department of Basic Education (DBE), and supported by the United States Agency for International Development (USAID) and ECD Measure. The sample consists of a nationally representative selection of children aged 50-59 months who are enrolled in various types of ELPs. Data was collected electronically using tablet devices, in-person. For each child, the following developmental domains were assessed: 1. Early learning outcomes (measured using the ELOM 4&5 direct assessment tool), 2. Social and Emotional Functioning (measured using the ELOM Social and Emotional Functioning Rating Scales) 3. Height for Age (measured using stadiometers) Within each cluster of Early Learning Programmes (ELPs) surveyed, 1 ELP was selected to "audit". This involved interviews with the principal and one ECD practitioner responsible for a class of 4-5 year old children, an assessment of the overall environment and infrastructure plus a 2 hour observation of the quality of the early learning programme. This dataset is referred to as the ECD baseline audit. The ECD audit data is merged with the Thrive By Five assessment data in the current dataset.

Geographic coverage

The lowest level of geographic representivity of the data is Ward-level. The data is also available at the level of Local Municipality.

Analysis unit

Individuals

Kind of data

Other

Sampling procedure

Thrive by Five Index The Index has child outcomes data on over 5000 children sampled from 1200+ early learning programmes (ELPs) / ECD sites nationally. In the absence of a complete sampling frame for either children or ELPs, it was decided to cluster ELPs via primary schools for random sampling. In each province, 48 schools (432 nationwide) were randomly selected to be used as clusters. As many ELPs were then identified as possible within a 5-10km radius around each school, or, where this impractical because there were not enough ELPs in the vicinity of the schools, as the ward in which the school is located. The school sample in each province is stratified by socio-economic quintiles (1 to 5). Child assessments (ELOM 4&5, ELOM socio-emotional rating and height for age) were conducted with an average of 4 children at each of 3 randomly selected ELPs per cluster.

ECD Baseline Audit Within each cluster of 3 ELPs, 1 ELP was selected to "audit". This involved interviews with the principal and a practitioner (the practitioner working with the 4 year old children), an assessment of the overall environment and infrastructure plus a 2 hour observation of the quality of the early learning programme. This data is referred to as the ECD baseline audit. The Index and Baseline data are combined in the final publicly-available version of the dataset.

Mode of data collection

Other

Research instrument

Instruments used to collect data were ELOM 4&5 direct assessments of young children; ELOM Social-Emotional rating scales (interview with child’s teacher), ELOM learning programme quality assessment (classroom observation tool), CAPI Questionnaire for Principals, CAPI Questionnaire for Practitioners, and a Facility Observation Questionnaire. Stadiometers were used to measure height.

The data shows the statistics of different item-wise reports on a cumulative yearly basis in states up to the sub-district level in Odisha. It included 1) Ante Natal Care (ANC) - Antenatal care (ANC) is a means to identify high-risk pregnancies and educate women so that they might experience healthier delivery and outcomes. 2) Deliveries - The delivery of the baby by the pregnant women 3) Number of Caesarean (C-Section) deliveries - Caesarean delivery (C-section) is used to deliver a baby through surgical incisions made in the abdomen and uterus. 4) Pregnancy outcome & details of new-born - The records kept of the pregnancy outcome along with the details of new-born 5) Complicated Pregnancies - The different pregnancies that were not normal and had complications 6) Post Natal Care (PNC) - Postnatal care is defined as care given to the mother and her new-born baby immediately after the birth of the placenta and for the first six weeks of life 7) Reproductive Tract Infections/Sexually Transmitted Infections (RTI/STI) Cases - The records of reproductive tract infections along with the records of the sexually transmitted cases 8) Family Planning - The different methods used by families to keep track of family 9) CHILD IMMUNISATION - The records of child immunisation which are records of vaccination 10) Number of cases of Childhood Diseases (0-5 years) - The records of the number of cases of childhood diseases within the age of 5 years old 11) NVBDCP - The National Vector Borne Disease Control Programme (NVBDCP) is one of the most comprehensive and multi-faceted public health activities in the country and concerned with the prevention and control of vector-borne diseases, namely Malaria, Filariasis, Kala-azar, Dengue and Japanese Encephalitis (JE). 12) Adolescent Health - The record of the conditions of adolescent health 13 ) Directly Observed Treatment, Short-course (DOTS) - Directly observed treatment, short-course (DOTS, also known as TB-DOTS) is the name given to the tuberculosis (TB) control strategy recommended by the World Health Organization 14) Patient Services - Patient Services means those which vary with the number of personnel; professional and para-professional skills of the personnel; specialised equipment, and reflect the intensity of the medical and psycho-social needs of the patients. 15) Laboratory Testing - A medical procedure that involves testing a sample of blood, urine, or other substance from the body. Laboratory tests can help determine a diagnosis, plan treatment, check if the treatment works, or monitor the disease over time. 16) Details of deaths reported with probable causes - The reports of deaths recorded with possible reasons are given in a detail 17) Vaccines - The reports of vaccines which are recorded 18) Syringes - It is the number of syringes that are used and recorded 19) Rashtriya Bal Swasthaya Karyakram (RBSK) - Rashtriya Bal Swasthya Karyakram (RBSK) is an important initiative aiming at early identification and early intervention for children from birth to 18 years to cover 4 'D's viz. Defects at birth, Deficiencies, Diseases, Development delays, including disability. 20) Coverage under WIFS JUNIOR - The coverage of the Weekly Iron Folic Acid Supplementation Programme for children six to one 21) Maternal Death Reviews (MDR) - A maternal death review is cross-checking how the mother died. It provides a rare opportunity for a group of health staff and community members to learn from a tragic – and often preventable. 22) Janani Shishu Suraksha Karyakaram (JSSK)- This initiative provides free and cashless services to pregnant women, including normal deliveries and caesarean operations. It entitles all pregnant women in public health institutions to free and no-expense delivery, including caesarean section.

Cristiano Ronaldo has one of the most popular Instagram accounts as of April 2024.

              The Portuguese footballer is the most-followed person on the photo sharing app platform with 628 million followers. Instagram's own account was ranked first with roughly 672 million followers.

              How popular is Instagram?

              Instagram is a photo-sharing social networking service that enables users to take pictures and edit them with filters. The platform allows users to post and share their images online and directly with their friends and followers on the social network. The cross-platform app reached one billion monthly active users in mid-2018. In 2020, there were over 114 million Instagram users in the United States and experts project this figure to surpass 127 million users in 2023.

              Who uses Instagram?

              Instagram audiences are predominantly young – recent data states that almost 60 percent of U.S. Instagram users are aged 34 years or younger. Fall 2020 data reveals that Instagram is also one of the most popular social media for teens and one of the social networks with the biggest reach among teens in the United States.

              Celebrity influencers on Instagram
              Many celebrities and athletes are brand spokespeople and generate additional income with social media advertising and sponsored content. Unsurprisingly, Ronaldo ranked first again, as the average media value of one of his Instagram posts was 985,441 U.S. dollars.

The project "Self-Processes and Student Careers" (SEBI II, Funding DFG, duration 2015-2018) asked questions about the processes in which children become successful or less successful learners. This ties in with the existing (qualitative and quantitative) longitudinal section of the SEBI primary school project ´Self-orientation and self-reliant learning - an analysis of the learning and socialization environments of primary school children´ (Funding: BMBF, duration 2011-2015). The project focused on the interactions between the participants - parents, children and teachers - and their importance for the generation and activation of children´s self-processes, especially after the transition to secondary school. In terms of educational inequality, socio-structural references to interactions and their role in student careers were asked. The approach uses a theoretically innovative model that combines concepts of interactionist sociology with concepts and empirical insights of teaching-learning research. It involved four fields of research that were only partially related to each other up to now: educational inequality, class-specific patterns of socialization as well as educational ambitions of parents, assessments by teachers and self-processes of students. Methodological Approach: The longitudinal study was quantitatively continued through class surveys and qualitatively via a continuation of interview-based family portraits. In addition, students at grammar schools and primary / secondary schools were interviewed on their strategies for student behavior in group interviews. Student´s questionaire: sex, age, living with relatives, number of books in household, available items in household, available instruments in household, member in musical groups at school, musical activities with other people, musical self-education, current musical education, participation in JeKi-class in elementary school, opinion on music, parent´s opinion on music, opinion on school, opinion on oneself self, relationship to parents, preference of music If musical self-education: specific procedure, motivation to learn, hours of practice per week, effort of education If current musical education: Type of education, taught instrument, length of class, place of class, motivation to learn, invested time in education per week, effort of education If participation in JeKi-class in elementary school: instrument skilled, education continued If JeKi-education continued: Motivation to continue If JeKi-education not continued: Motivation not to continue Parent´s questionaire: Age, filling legal guardian, single parent, relatives born in Germany, number of children in household, age of children, adults in household, number of books in household, use of musical video-games, satisfactions with school, desired educational attainment of child, activities with child, musical activities within family, opinion on music, musical activities of child, occupation, income, educational attainment, employment, Im Projekt „Selbstprozesse und Schülerkarrieren“ (SEBI II; Förderung DFG; Laufzeit 2015-2018) wurde die Frage nach den Prozessen, in denen Kinder zu erfolgreichen oder weniger erfolgreichen Lernern werden, gestellt. Damit wurde an den bestehenden (qualitativen und quantitativen) Längsschnitt des SEBI-Grundschulprojekts „Selbstorientierung und selbstständiges Lernen angeknüpft – eine Analyse von Lern- und Sozialisationsumgebungen von Grundschulkindern“ (Förderung: BMBF; Laufzeit 2011-2015). Das Projekt fokussierte die Interaktionen zwischen den Beteiligten – Eltern, Kindern und Lehrkräften – und deren Bedeutung für das Erzeugen und Wirksamwerden von Selbstprozessen der Kinder, insbesondere nach dem Übergang in die weiterführende Schule. Unter dem Aspekt der Bildungsungleichheit wurde nach sozialstrukturellen Bezügen von Interaktionen und ihrer Bedeutung für Schülerkarrieren gefragt. Der Ansatz nutzte ein theoretisch innovatives Modell, das Konzepte der interaktionistischen Soziologie mit Konzepten und empirischen Einsichten der Lehr-Lernforschung verbindet. Dabei wurde an vier Forschungsfelder angeschlossen, die bis dato nur zum Teil aufeinander bezogen wurden: Bildungsungleichheit, schichtspezifische Sozialisationsmuster sowie Bildungsambitionen von Eltern, Bewertungen durch Lehrkräfte und Selbstprozesse von Schülerinnen und Schülern. Methodischer Zugang: Die Längsschnittstudie wurde quantitativ über klassenweise Befragungen und qualitativ über eine Fortsetzung von interviewbasierten Familienportraits weitergeführt. Ergänzend wurden Schülerinnen und Schüler an Gymnasien und Haupt-/Sekundarschulen im Rahmen von Gruppeninterviews zu ihren Strategien des Schülerverhaltens befragt.Die interviewbasierten Familienportraits, Gruppeninterviews, Umfrageergebnisse der Eltern- und Lehrerbefragung stehen als Forschungsdaten nicht zur Verfügung. Über GESIS sind die Umfragedaten der Schülerbefragung erhältlich. Face-to-face interview: Paper-and-pencil (PAPI)Interview.FaceToFace.PAPI Persönliches Interview : Papier-und-Bleistift (PAPI)Interview.FaceToFace.PAPI

Abstract copyright UK Data Service and data collection copyright owner.The Health Survey for England (HSE) is a series of surveys designed to monitor trends in the nation's health. It was commissioned by NHS Digital and carried out by the Joint Health Surveys Unit of the National Centre for Social Research and the Department of Epidemiology and Public Health at University College London.The aims of the HSE series are:to provide annual data about the nation’s health;to estimate the proportion of people in England with specified health conditions;to estimate the prevalence of certain risk factors associated with these conditions;to examine differences between population subgroups in their likelihood of having specific conditions or risk factors;to assess the frequency with which particular combinations of risk factors are found, and which groups these combinations most commonly occur;to monitor progress towards selected health targetssince 1995, to measure the height of children at different ages, replacing the National Study of Health and Growth;since 1995, monitor the prevalence of overweight and obesity in children.The survey includes a number of core questions every year but also focuses on different health issues at each wave. Topics are revisited at appropriate intervals in order to monitor change. Further information about the series may be found on the NHS Digital Health Survey for England; health, social care and lifestyles webpage, the NatCen Social Research NatCen Health Survey for England webpage and the University College London Health and Social Surveys Research Group UCL Health Survey for England webpage. Changes to the HSE from 2015:Users should note that from 2015 survey onwards, only the individual data file is available under standard End User Licence (EUL). The household data file is now only included in the Special Licence (SL) version, released from 2015 onwards. In addition, the SL individual file contains all the variables included in the HSE EUL dataset, plus others, including variables removed from the EUL version after the NHS Digital disclosure review. The SL HSE is subject to more restrictive access conditions than the EUL version (see Access information). Users are advised to obtain the EUL version to see if it meets their needs before considering an application for the SL version. The Health Survey for England, 2004 (HSE 2004) was designed to provide data at both national and regional level about the population living in private households in England. The sample design of the 2004 survey had two parts: a general population sample that followed the same pattern as in previous years and a minority ethnic 'boost' sample (for the groups covered, see above). The general population sample was half the size of the usual sample. Up to ten adults and up to two children in each household were interviewed, and a nurse visit arranged for those participants in minority ethnic groups who consented. For the ethnic boost sample, all sampled addresses were fully screened and only informants from the specified minority ethnic groups were eligible for inclusion in the survey. Among these, up to four adults and three children were selected for interview. For informants from the specified minority ethnic groups (whether identified in the general population sample or the minority ethnic sample), an interview with each eligible person was followed by a nurse visit. Information was obtained directly from persons aged 13 and over. Information about children under 13 was obtained from a parent with the child present. The survey was conducted throughout the year to take into consideration seasonal differences. For the second edition (April 2010), three new children's Body Mass Index (BMI) variables have been added to the general population and ethnic boost data files (bmicat1, bmicat2, bmicat3). The original variables (bmicut, bmicut2, bmicut3) are unreliable and should not be used. Further information is available in the documentation and on the Information Centre for Health and Social Care Health Survey for England web page. Main Topics: The main focus of HSE 2004 for adults from minority ethnic backgrounds was cardiovascular disease (CVD) and related risk factors. In addition to the core HSE topics, a module on complementary therapies and alternative medicine was also included in the main individual questionnaire. At the nurse visit, questions were asked about prescribed medication, vitamin supplements and nicotine replacements. The nurse took the blood pressure of those aged five and over, measured lung function of those aged 7-15, and made waist and hip measurements for those aged 11 and over. Saliva samples were collected from 4-15 year olds and blood samples from those aged 11 and over, including fasting blood from those aged 16 and over. Blood and saliva samples were sent to a laboratory for analysis. Informants in the general population sample, unless they were members of the specified minority ethnic groups, were given a shortened version of the questionnaire covering core topics only. Standard MeasuresGeneral Health Questionnaire (GHQ12)EQ-5D Health State Multi-stage stratified random sample Face-to-face interview Self-completion Clinical measurements Physical measurements CAPI 2005 ACCIDENTS ACUPUNCTURE AGE ALCOHOL USE ALCOHOLIC DRINKS ANTHROPOMETRIC DATA ANXIETY ASIANS ATTITUDES BEDROOMS BLACK PEOPLE CARDIOVASCULAR DISE... CHILDREN CHIROPRACTIC CHRONIC ILLNESS CLINICAL TESTS AND ... CLUBS COMMUNITIES COMPLEMENTARY THERA... CONCENTRATION CONFECTIONERY CONTRACEPTIVE DEVICES COOKING CULTURAL IDENTITY CULTURAL LIFE CYCLING DAIRY PRODUCTS DEBILITATIVE ILLNESS DEPRESSION DIABETES DIET AND EXERCISE DISABILITIES ECONOMIC ACTIVITY EDIBLE FATS EDUCATIONAL BACKGROUND EMOTIONAL STATES EMPLOYEES EMPLOYMENT EMPLOYMENT HISTORY ENGLISH LANGUAGE ETHNIC GROUPS ETHNIC MINORITIES EXERCISE PHYSICAL A... England FAMILIES FATHERS FOLK MEDICINE FOOD FRIENDS FRUIT FURNISHED ACCOMMODA... GARDENING GENDER General health and ... HAPPINESS HEADS OF HOUSEHOLD HEALTH HEALTH ADVICE HEALTH CONSULTATIONS HEALTH PROFESSIONALS HEALTH SERVICES HEART DISEASES HEIGHT PHYSIOLOGY HERBAL MEDICINE HOMEOPATHY HORMONE REPLACEMENT... HOSPITAL OUTPATIENT... HOSPITALIZATION HOURS OF WORK HOUSEHOLD INCOME HOUSEHOLDS HOUSEWORK HOUSING TENURE HUMAN SETTLEMENT HYPNOTHERAPY Health care service... ILL HEALTH INDUSTRIES INFANTS INJURIES JOB HUNTING LANDLORDS LANGUAGES LEGUMES LOCAL COMMUNITY FAC... MARITAL STATUS MEAT MEDICAL DIETS MEDICAL PRESCRIPTIONS MEDICINAL DRUGS MEDITATION MEMBERSHIP MENSTRUATION MENTAL HEALTH MILK MOTHERS MOTOR PROCESSES MOTOR VEHICLES MUSCULOSKELETAL SYSTEM NATIONAL BACKGROUND NEIGHBOURS NURSES OCCUPATIONAL QUALIF... ORGANIZATIONS OSTEOPATHY PAIN PARENT RESPONSIBILITY PASSIVE SMOKING PERSONAL PROTECTIVE... PHYSICAL ACTIVITIES PHYSICIANS PLACE OF BIRTH PREGNANCY PRESERVED FOODS QUALIFICATIONS REFLEXOLOGY RELIGIOUS AFFILIATION RENTED ACCOMMODATION RESIDENTIAL MOBILITY RESPIRATORY TRACT D... SAFETY EQUIPMENT SALT SAVOURY SNACKS SELF EMPLOYED SELF ESTEEM SMOKING SMOKING CESSATION SOCIAL CLASS SOCIAL NETWORKS SOCIAL PARTICIPATION SOCIAL SECURITY BEN... SOCIAL SUPPORT SOCIO ECONOMIC STATUS SPORT STRESS PSYCHOLOGICAL SUPERVISORY STATUS SURGERY TIED HOUSING TOBACCO TOP MANAGEMENT TRUST UNFURNISHED ACCOMMO... VASCULAR DISEASES VEGETABLES VITAMINS WALKING WEIGHT PHYSIOLOGY YOUTH

The project ´Quality of Life and Well-being of Very Old People in NRW (NRW80+)´, which is funded by the Ministry of Innovation, Science and Research of North Rhine-Westphalia and carried out by the CERES research association at the University of Cologne, is intended to provide representative statements on the living conditions of very old people in North Rhine-Westphalia. The aim is to obtain comprehensive information about the environment in which very old people live or would like to live, what their social role is and how satisfied they are with their living situation. Housing situation: type of housing; full inpatient care in the case of residential accommodation; number of rooms; duration of living in this apartment/house/home; tenure (owner, main tenant, subtenant, rent-free); always in this apartment/house or lived in this flat/house; barrier-reduced living: thresholds over 2 cm; doors at least 80 cm wide; stairs with handrail or stair lift; doors of bath and WC open to the outside; suitability of the living environment on foot or in a wheelchair (walkability); residential attachment; trust in people in the neighbourhood (social cohesion). 2. Family situation: marital status; currently stable partnership; children present; number of children; number of living children; number of grandchildren and great grandchildren; household size; household composition: sex of up to three persons and their relationship to the respondent; pets. 3. Financial situation: sources of income; net household income; costs: amount of the monthly rent for warmth; amount of the monthly rent for cold or rent without additional costs; amount of the monthly additional costs; housing loans or mortgages to be paid off and their amount; monthly costs for the stay in the home; debts from loans; amount of debts; assets: amount of the total assets. 4. Dealing with old age: autonomy; experience of ageing (e.g. greater appreciation of relationships and other people, more attention to one´s own health, decrease in mental capacity, etc.); appreciation by others (being needed, being appreciated for services, being treated as a burden, being appreciated more than before). 5. Health: cognitive tests on mental health (repeat ten selected words in two passes, convert numbers, mention as many things as possible that you can buy in the supermarket in one minute, repeat numbers in reverse order, remember the ten words at the beginning of the cognitive test); self-assessment of health; assessment of pain level in the last four weeks; height in cm; weight in kg; weight loss in the last twelve months; multimorbidity: medical treatment due to selected diseases; existence of care level or degree of care; designation of care level or degree of care; additional care level 0 (limited everyday competence); care use: use of an outpatient care service; use of day care; private care; hours of private care per week; respondent cares privately for another person and hours per week; functional health with regard to various activities of daily life (eating, dressing and undressing, personal hygiene, walking, looking up from bed and lying down, being bedridden, bathing or showering, reaching the toilet in time, frequency of problems with bladder and bowel control, using the telephone, organising routes outside the walking range (trips by taxi or bus), buying food and clothing yourself, preparing your own meals, doing housework, taking medication, regulating financial matters); use of assistive devices (hearing aid, wheelchair, home emergency call system, private car); health literacy (knowledge and compliance). 6. Everyday life and lifestyle: importance and frequency of: time spent together with other people, physical activity, rest and time for oneself, in-depth study of a topic and creative activity; preferred music style; preferences regarding clothing and food; leisure activities in the last 12 months (e.g. sports, participation in a coffee circle or regulars´ table, visiting a café, restaurant or pub, travelling, voluntary work, etc.); frequency and place of the respective activities; religious community, club membership; political participation: party affiliation; participation in the last federal election. 7. Technology setting and technology use: technology use in the last 12 months (computer or laptop, internet, smartphone, regular mobile phone, tablet computer, fitness wristband) and frequency of use; technology setting: interest, difficulties in using modern digital devices, ease of everyday life with modern digital devices); purpose of internet use in the last three months (emails, looking for information on health topics, participating in social networks, buying or selling goods or services). 8. Social inclusion: called social network; for the four most important persons the following was asked: sex, their relationship to the respondent, frequency of contact and attachment to these persons; number of other persons in the social network (size of the social network); frequency of loneliness in the last week; social support: larger gifts given or larger gifts received; frequency of social support given or received by the respondent (e.g. helped other people with their tasks, received help with tasks and tasks, received consolation, received consolation); Generativity (importance of passing on one´s own experiences to younger people, passing on social values to younger people, being a role model for younger people); Integration into society: Anomie (coping with today´s social way of life, one´s own values fit less and less with the values of today´s society, lack of orientation due to rapidly changing society). 9. Hand grip force: agreement with hand grip test; right- or left-handed; writing hand; test value 1st measurement right and left; test value 2nd measurement right and left; deviations exist. 10. Value system: Individual value system (doing things in one´s own way (self-determination), being wealthy (power), avoiding dangers and safe environment (security), spending good time (hedonism), doing good for society (benevolence), getting achievements recognized (achievement), taking risks (stimulation), avoiding teasing others (conformity), caring for nature and the environment (universalism), respecting traditions (tradition); spirituality: Importance of a connection with God or a higher power, with people and with nature; frequency of connection with God or a higher power, with people and with nature; importance of institutionalizing one´s own beliefs, e.g. in church; ; frequency of the feeling of community in institutionalized forms; orientation to the guidelines of religious institutions; importance of being part of a large entity; frequency of the feeling of being part of a larger entity; importance of practicing religious practices such as Praying or meditating, frequency of religious practices; reconciled relationship with God; God as support; desire to leave everything behind to go to God; God is threatening and punishing; importance of faith or spirituality in one´s own life; attitude towards dying and death: acceptance of one´s own mortality; death as an incriminating thought; fear of dying; frequency of thoughts about death; will written; dispositions (living will, precautionary power of attorney, care-giving will, general power of attorney). 11. Interpersonal personality: tendency to quarrel, losing control, feeling irritated and harassed); external and internal controlling life (life in one´s own hands, success through effort, life is determined by others, plans thwarted by fate). 12. Well-being and life satisfaction: frequency of selected feelings in the last year (PANAS: enthusiastic, attentive, joyfully excited/expectant, stimulated, determined); depressiveness during the last 14 days (depressed, difficult to pick up, enjoy life, even if some things are difficult, brooding a lot); Valuation of Life-Scale (and a. optimistic, consider current life as useful, life determined by religious or moral principles, etc.); Meaning in Life-Scale (satisfaction with what has been achieved in the past, with the past at peace); general life satisfaction. 13. Critical life events: perceived burden of life events in general; generally most stressful event; current burden of events related to World War II; most stressful event related to World War II; current burden of events outside World War II; most stressful event outside World War II; most stressful event outside World War II; most stressful event outside World War II Interpersonal conflicts and emotional consequences (INDICATE): Frequency of conflicts with known persons (other person has become louder/ abusive towards the respondent (intimidation), has spoken about weaknesses or impairments of the respondent (shame), blamed for an event, paternalism: Ignoring the respondent´s opinion, has caused the respondent to renounce his or her wish or right, neglect: no support given, no time given, financial exploitation: property or possessions of the respondent used for own purposes, has been kept by the respondent, physical violence: firm or rough handling, physically rough or inconsiderate handling, custodial measures restriction of freedom of movement, medication given without consent, sexualised violence: offensive behaviour, sexual harassment). 14. Biography: caregiver in childhood up to the age of 16; social status of parents: employment and occupational status of father and mother when the interviewee was 15 years old; number of siblings; occupational biography of the interviewee: end of full-time employment; occupational status; special designation of occupational status; occupational biography of spouse: end of full-time employment; occupational status; special designation of occupational status; request to politicians to improve one´s own quality of life (open). Demography: sex; age; origin: country, place of residence 1949-1990; education: country of last school attendance; highest