Abstract

The 2013 Turkey Demographic and Health Survey (TDHS-2013) is a nationally representative sample survey. The primary objective of the TDHS-2013 is to provide data on socioeconomic characteristics of households and women between ages 15-49, fertility, childhood mortality, marriage patterns, family planning, maternal and child health, nutritional status of women and children, and reproductive health. The survey obtained detailed information on these issues from a sample of women of reproductive age (15-49). The TDHS-2013 was designed to produce information in the field of demography and health that to a large extent cannot be obtained from other sources.

Specifically, the objectives of the TDHS-2013 included: - Collecting data at the national level that allows the calculation of some demographic and health indicators, particularly fertility rates and childhood mortality rates, - Obtaining information on direct and indirect factors that determine levels and trends in fertility and childhood mortality, - Measuring the level of contraceptive knowledge and practice by contraceptive method and some background characteristics, i.e., region and urban-rural residence, - Collecting data relative to maternal and child health, including immunizations, antenatal care, and postnatal care, assistance at delivery, and breastfeeding, - Measuring the nutritional status of children under five and women in the reproductive ages, - Collecting data on reproductive-age women about marriage, employment status, and social status

The TDHS-2013 information is intended to provide data to assist policy makers and administrators to evaluate existing programs and to design new strategies for improving demographic, social and health policies in Turkey. Another important purpose of the TDHS-2013 is to sustain the flow of information for the interested organizations in Turkey and abroad on the Turkish population structure in the absence of a reliable and sufficient vital registration system. Additionally, like the TDHS-2008, TDHS-2013 is accepted as a part of the Official Statistic Program.

Geographic coverage

National coverage

Analysis unit

• Household
• Women age 15-49
• Children under age of five

Universe

The survey covered all de jure household members (usual residents), children age 0-5 years and women age 15-49 years resident in the household.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample design and sample size for the TDHS-2013 makes it possible to perform analyses for Turkey as a whole, for urban and rural areas, and for the five demographic regions of the country (West, South, Central, North, and East). The TDHS-2013 sample is of sufficient size to allow for analysis on some of the survey topics at the level of the 12 geographical regions (NUTS 1) which were adopted at the second half of the year 2002 within the context of Turkey’s move to join the European Union.

In the selection of the TDHS-2013 sample, a weighted, multi-stage, stratified cluster sampling approach was used. Sample selection for the TDHS-2013 was undertaken in two stages. The first stage of selection included the selection of blocks as primary sampling units from each strata and this task was requested from the TURKSTAT. The frame for the block selection was prepared using information on the population sizes of settlements obtained from the 2012 Address Based Population Registration System. Settlements with a population of 10,000 and more were defined as “urban”, while settlements with populations less than 10,000 were considered “rural” for purposes of the TDHS-2013 sample design. Systematic selection was used for selecting the blocks; thus settlements were given selection probabilities proportional to their sizes. Therefore more blocks were sampled from larger settlements.

The second stage of sample selection involved the systematic selection of a fixed number of households from each block, after block lists were obtained from TURKSTAT and were updated through a field operation; namely the listing and mapping fieldwork. Twentyfive households were selected as a cluster from urban blocks, and 18 were selected as a cluster from rural blocks. The total number of households selected in TDHS-2013 is 14,490.

The total number of clusters in the TDHS-2013 was set at 642. Block level household lists, each including approximately 100 households, were provided by TURKSTAT, using the National Address Database prepared for municipalities. The block lists provided by TURKSTAT were updated during the listing and mapping activities.

All women at ages 15-49 who usually live in the selected households and/or were present in the household the night before the interview were regarded as eligible for the Women’s Questionnaire and were interviewed. All analysis in this report is based on de facto women.

Note: A more technical and detailed description of the TDHS-2013 sample design, selection and implementation is presented in Appendix B of the final report of the survey.

Mode of data collection

Face-to-face [f2f]

Research instrument

Two main types of questionnaires were used to collect the TDHS-2013 data: the Household Questionnaire and the Individual Questionnaire for all women of reproductive age. The contents of these questionnaires were based on the DHS core questionnaire. Additions, deletions and modifications were made to the DHS model questionnaire in order to collect information particularly relevant to Turkey. Attention also was paid to ensuring the comparability of the TDHS-2013 findings with previous demographic surveys carried out by the Hacettepe Institute of Population Studies. In the process of designing the TDHS-2013 questionnaires, national and international population and health agencies were consulted for their comments.

The questionnaires were developed in Turkish and translated into English.

Cleaning operations

TDHS-2013 questionnaires were returned to the Hacettepe University Institute of Population Studies by the fieldwork teams for data processing as soon as interviews were completed in a province. The office editing staff checked that the questionnaires for all selected households and eligible respondents were returned from the field. A total of 29 data entry staff were trained for data entry activities of the TDHS-2013. The data entry of the TDHS-2013 began in late September 2013 and was completed at the end of January 2014.

The data were entered and edited on microcomputers using the Census and Survey Processing System (CSPro) software. CSPro is designed to fulfill the census and survey data processing needs of data-producing organizations worldwide. CSPro is developed by MEASURE partners, the U.S. Bureau of the Census, ICF International’s DHS Program, and SerPro S.A. CSPro allows range, skip, and consistency errors to be detected and corrected at the data entry stage. During the data entry process, 100% verification was performed by entering each questionnaire twice using different data entry operators and comparing the entered data.

Response rate

In all, 14,490 households were selected for the TDHS-2013. At the time of the listing phase of the survey, 12,640 households were considered occupied and, thus, eligible for interview. Of the eligible households, 93 percent (11,794) households were successfully interviewed. The main reasons the field teams were unable to interview some households were because some dwelling units that had been listed were found to be vacant at the time of the interview or the household was away for an extended period.

In the interviewed 11,794 households, 10,840 women were identified as eligible for the individual interview, aged 15-49 and were present in the household on the night before the interview. Interviews were successfully completed with 9,746 of these women (90 percent). Among the eligible women not interviewed in the survey, the principal reason for nonresponse was the failure to find the women at home after repeated visits to the household.

Sampling error estimates

The estimates from a sample survey are affected by two types of errors: (1) nonsampling errors, and (2) sampling errors. Nonsampling errors are the results of mistakes made in implementing data collection and data processing, such as failure to locate and interview the correct household, misunderstanding of the questions on the part of either the interviewer or the respondent, and data entry errors. Although numerous efforts were made during the implementation of the TDHS-2013 to minimize this type of error, nonsampling errors are impossible to avoid and difficult to evaluate statistically.

Sampling errors, on the other hand, can be evaluated statistically. The sample of respondents selected in the TDHS-2013 is only one of many samples that could have been selected from the same population, using the same design and expected size. Each of these samples would yield results that differ somewhat from the results of the actual sample selected. Sampling errors are a measure of the variability between all possible samples. Although the degree of variability is not known exactly, it can be estimated from the survey results.

A sampling error is usually measured in terms of the standard error for a particular statistic (mean, percentage, etc.), which is the square root of the variance. The standard error can be used to calculate confidence intervals within which the true value for the population can reasonably be assumed to fall. For example, for any given statistic calculated from a sample survey, the value of that statistic will fall

Growth mindset, the belief that abilities and attributes are changeable, has been implicated in better mental health and health behaviors and may be especially critical during challenging life events. One goal of this prospective longitudinal study was to investigate the role of growth mindset in adults’ mental health (i.e., depression, well-being, and adjustment of daily routines) over two years of the COVID-19 pandemic. We also examined this relationship in older adults who had participated in a prior learning intervention including growth mindset training (compared with those who had not). Adults ages 19 to 89 from ethnically diverse backgrounds in Southern California (n = 454) were surveyed at three timepoints between June 2020 and September 2022. In Study 1 focusing on this wide age range (n = 393), we found that growth mindset was associated with lower levels of depression and higher levels of well-being and adjustment, after accounting for various sociodemographic factors. Study 2, which focused on older adults (n = 174), largely replicated the findings from Study 1. Furthermore, the conducive effect of growth mindset on well-being was marginally greater among those who had participated in the intervention, and those who had participated in the intervention showed an increase in well-being over time, while well-being scores decreased in the control group. Together, our findings suggest that growth mindset may be an important protective factor for mental health during challenging times.

The dataset contain data collected by an electronic choice experiment survey among the population in Northern norway (Nordland, Troms and Finnmark counties) on their recreational activities in the coastal zone and how they value recreational activities in the coastal zone relative to more use of the coastal zone for commercial activities. Ecosystem services (ESs) may be both non-market and market based. Both may provide important input to societal welfare. Using natural resources, or converting nature in the development of market based ES may impact the access to non-market or more conservationist ES, and vice versa. How does the general public trade-off between these two types of ES? We use two valuation studies in Northern Norway to identify the public’s preferences for marine industries versus other marine use and non-use values. One study assesses willingness to pay to protect cold-water corals, a relatively abundant, and to some degree, protected resource off the coast of Norway. The other study elicits people’s willingness to pay for stricter regulations of industrial activity in the coastal zone, providing more coastal area for recreational activities. Both studies show strong conservation preferences, and willingness to forego blue industrial growth. However, these preferences are heterogeneous across socio-economic characteristics, and, interestingly, educational level is the characteristic that most distinctly separates the population into various preference groups.

BackgroundIndividual based models have become a valuable tool for modeling the spatiotemporal dynamics of epidemics, e.g. influenza pandemic, and for evaluating the effectiveness of intervention strategies. While specific contacts among individuals into diverse environments (family, school/workplace) can be modeled in a standard way by employing available socio-demographic data, all the other (unstructured) contacts can be dealt with by adopting very different approaches. This can be achieved for instance by employing distance-based models or by choosing unstructured contacts in the local communities or by employing commuting data.Methods/ResultsHere we show how diverse choices can lead to different model outputs and thus to a different evaluation of the effectiveness of the containment/mitigation strategies. Sensitivity analysis has been conducted for different values of the first generation index G0 , which is the average number of secondary infections generated by the first infectious individual in a completely susceptible population and by varying the seeding municipality. Among the different considered models, attack rate ranges from 19.1% to 25.7% for G0 = 1.1, from 47.8% to 50.7% for G0 = 1.4 and from 62.4% to 67.8% for G0 = 1.7. Differences of about 15 to 20 days in the peak day have been observed. As regards spatial diffusion, a difference of about 100 days to cover 200 km for different values of G0 has been observed.ConclusionTo reduce uncertainty in the models it is thus important to employ data, which start being available, on contacts on neglected but important activities (leisure time, sport mall, restaurants, etc.) and time-use data for improving the characterization of the unstructured contacts. Moreover, all the possible effects of different assumptions should be considered for taking public health decisions: not only sensitivity analysis to various model parameters should be performed, but intervention options should be based on the analysis and comparison of different modeling choices.

Social Demographic Analytics Airport Market Outlook

According to our latest research, the global Social Demographic Analytics Airport market size reached USD 2.14 billion in 2024, reflecting the growing integration of advanced analytics solutions in airport operations worldwide. The industry is experiencing robust momentum, with a compound annual growth rate (CAGR) of 14.7% projected from 2025 to 2033. By 2033, the Social Demographic Analytics Airport market is forecasted to attain USD 6.46 billion, driven by escalating passenger volumes, digital transformation initiatives, and the need for operational efficiency. The market’s growth is underpinned by the increasing adoption of artificial intelligence, big data, and IoT technologies, which empower airports to harness real-time demographic insights for enhanced decision-making and passenger experience.

A significant growth factor for the Social Demographic Analytics Airport market is the rising demand for personalized passenger experiences. With the exponential increase in global air travel, airports are under pressure to deliver seamless, efficient, and tailored services to a diverse passenger base. Social demographic analytics enable airports to segment passengers by age, gender, nationality, and travel behavior, facilitating targeted marketing, optimized retail offerings, and improved passenger flow management. This data-driven approach not only enhances passenger satisfaction but also drives ancillary revenue streams, a critical consideration in today’s highly competitive aviation landscape. As airports increasingly position themselves as lifestyle destinations, the strategic use of demographic analytics is becoming indispensable.

Another pivotal driver is the imperative for operational efficiency and security. Social demographic analytics play a crucial role in optimizing resource allocation, queue management, and crowd control, especially during peak travel seasons or major events. By leveraging real-time demographic data, airports can predict passenger surges, adjust staffing levels, and deploy security measures more effectively. This proactive stance not only minimizes bottlenecks and wait times but also strengthens overall airport security. The deployment of advanced analytics platforms further enables predictive maintenance of airport infrastructure, reducing downtime and operational costs. As airports embrace smart technologies, the integration of social demographic analytics is set to redefine operational paradigms, fostering resilience and agility in airport management.

The proliferation of digital technologies and the growing emphasis on data-driven decision-making are also catalyzing market expansion. Airports are investing in cloud-based analytics platforms, IoT sensors, and AI-powered surveillance systems to capture and analyze vast volumes of passenger data. These investments are supported by favorable government initiatives aimed at modernizing airport infrastructure and enhancing digital connectivity. Furthermore, collaborations between airports, airlines, and technology providers are fostering innovation in demographic analytics applications, ranging from targeted advertising to real-time passenger tracking. As the aviation industry rebounds post-pandemic, the focus on leveraging social demographic analytics for business intelligence and operational excellence is expected to intensify, unlocking new avenues for growth and transformation.

Regionally, the Asia Pacific market is witnessing the fastest growth, propelled by rapid urbanization, expanding middle-class populations, and massive investments in airport modernization projects. North America and Europe remain key markets, driven by early adoption of advanced technologies and the presence of major international airports. The Middle East is emerging as a strategic hub, leveraging demographic analytics to cater to a diverse and growing passenger demographic. Latin America and Africa, while currently smaller markets, are poised for significant growth as airport infrastructure development accelerates. Overall, the regional outlook for the Social Demographic Analytics Airport market is characterized by dynamic expansion, technological innovation, and increasing cross-border collaborations.

Age-and-sex adjusted distribution of frequency of participation in religious activities and importance of religion by socio-demographic characteristics, HCHS/SOL 2008–2010.

Abstract copyright UK Data Service and data collection copyright owner.The Taking Part survey collects data on many aspects of leisure, culture and sport in England, as well as an in-depth range of socio-demographic information on respondents. The survey is commissioned by the Department for Digital, Culture, Media and Sport (DCMS) in partnership with three of its non-departmental public bodies (Sport England, Arts Council England and English Heritage). The survey was first commissioned in 2005 as a face-to-face household survey of adults (16+) in England. Since then it has run annually and has also been developed to include further elements, including a child element and a longitudinal element. Further information can be found on the gov.uk Taking Part web pages. Important note for users of the 2009-2010 child dataset The data provided covers both the Year 4 (2008-2009) and the Year 5 (2009-2010) child survey, due to the small number of children sampled in Year 5. There are two main ways to analyse Year 5 data:If you wish to analyse the Year 5 child data only (this data covers three quarters and 537 individuals), you will need to filter the data accordingly, using the 'cY5filter' variable. This will provide results that are consistent with those published in our August 2010 release. If you wish to analyse a full year’s worth of data to make child data comparable to the adult data, you will need to analyse the three quarters of data for Year 5 and the last quarter of data for Year 4 (i.e. quarters 4-7), using the 'cQ4Q7filter' variable. This data will cover 1,283 individuals.Background to the 2009-2010 survey Taking Part, 2009-2010, also known as Year 5 of the continuous survey, includes 6,097 interviews conducted with adults (aged 16 or over) and 3,159 child interviews (1,350 of these were conducted with children aged 11-15 and 1,809 of these were conducted with a relevant adult who provided information about a child aged 5-10). The survey used face-to-face computer assisted personal interviews, which on average took 20-25 minutes for adults and 11-15 year old children, and 10-15 minutes for 5-10 year old children to complete. Interviews for 11-15 year olds were carried out directly, whilst 5-10 year olds were interviewed by proxy via the adult respondent. The sample for this survey had been randomly selected from the small-users postcode address file and only those from private households in England were included. No geographical restrictions were placed on the location of the engagement, although it must have been for the purpose of recreation or leisure (not for paid work), including voluntary work. Children aged 5-10 were asked only about activity that took place out of school, whilst children aged 11-15 were asked about their in and out of school activity. This study is subject to restrictive Special Licence (SL) access conditions as it contains additional detailed geographic variables (Local Authorities; ACORN Group; ACORN Category; ONS Urban Rural Classification). The End User Licence (EUL) version which is the same, but excludes these detailed variables, is available from the UK Data Service under SN 6579. Users are advised to first obtain the standard EUL version of the data to see if they are sufficient for their research requirements. The SL data have more restrictive access conditions; prospective users of the SL version will need to complete an extra application form and demonstrate to the data owners exactly why they need access to the additional variables in order to get permission to use that version. Main Topics: Main topics covered by the survey include: the arts, museums and galleries, libraries, archives, heritage, sport, social capital, gambling, the 2012 Olympic and Paralympic Games, and demographics. Multi-stage stratified random sample See documentation for details Face-to-face interview 2009 2010 AGE ANNIVERSARIES ANTHROPOMETRIC DATA ARCHIVES ARTISTIC ACTIVITIES ARTS BROADCASTING CHILDREN COMMUNITY ACTION COMMUNITY COHESION COMMUNITY LIFE CULTURAL BEHAVIOUR CULTURAL EVENTS CULTURAL FACILITIES CULTURAL HERITAGE CULTURAL IDENTITY CULTURAL PARTICIPATION DANCE DONATIONS TO CHARITY ECONOMIC ACTIVITY EDUCATIONAL CERTIFI... EMPLOYMENT GAMBLING GENDER HANDICRAFTS HEALTH HISTORIC BUILDINGS HOBBIES HOLIDAYS HOUSEHOLDS HOUSING TENURE INCOME INTERNET USE LEISURE TIME ACTIVI... LIBRARIES Leisure MARITAL STATUS MOTIVATION MOTOR VEHICLES MUSEUMS MUSIC NATIONAL IDENTITY NEIGHBOURHOODS NEWSPAPERS OLYMPIC GAMES PHYSICAL ACTIVITIES READING ACTIVITY RECREATIONAL FACILI... RELIGIOUS AFFILIATION RURAL AREAS SEXUALITY SLAVERY SOCIAL ATTITUDES SOCIAL CAPITAL SOCIO ECONOMIC STATUS SPORT SPORT SPECTATORSHIP SPORTING EVENTS SPORTS CLUBS SPORTS FACILITIES Social behaviour an... TELEPHONES TELEVISION VIEWING TIME Time use URBAN AREAS VISITS TO RECREATIO... VOLUNTARY WORK WRITING COMPOSITION tourism and sport

Understanding public perceptions of the importance of environmental issues is crucial for gauging support for management activities. This survey assess the importance boaters placed on 16 water issues in a lake-rich region of northern Wisconsin. Sociodemographic characteristics, recreation specialization, place attachment, and attitudes concerning aquatic stewardship and invasive species management were then used to predict class membership. While anglers were most concerned about fishing quality, sightseers identified lakeshore development and loss of natural habitat. Groups also differed in their socio-demographic and attitudinal characteristics. The priorities of each group were substantially different from those of the overall sample. Accounting for differences in stakeholders’ environmental concerns may improve public involvement in water management initiatives by allowing managers to identify common concerns and prioritize important issues among multiple groups.

Aspects of life-event history of the Dutch population, part 1: changes in socio-demographic data, social mobility, relationships history, educational career, and work mobilityP1107a: History of address changes / for each address: kind of household, type of housing, duration of stay / reasons for moving / year and month beginning of each new address period / if applicable: if change also meant new school and if for a particular period last child left home.P1107b: Respondents recollection of family life with their parents / importance of parents / whether parents divorced / presence other children / parents still alive / education of parents / parents attention to respondents school career.P1107c: Characteristics of parents paid job when respondent was ages 12 / if not working what other activities / idem, characteristics of parents paid job now if applicable / if no present job last profession and job situation / all professions CBS coded.P1107d: I: Life history of relationships: year and month of event, kind of relationship, reasons for beginning and ending, sex of partner, partner still alive / fourteen possible relationships / if start of living together or marriage, when first engaged and date of birth partner : II: Has respondent had own children, how many, date of birth, adopted and when, date of birth of adopted children/ III: have children died and when / female respondent: pregnant at present, how often pregnant, miscarriage.P1107e: Life history of education: pre-school, primary school, and any education following primary. How good a pupil after primary / further education or not / / if university degree and which one / respondent born after 1956, asked of choice of subjects in finishing secondary school / for each training or education: first: year and month of beginning and ending/ second: respondents vocational and job aspiration and succeeded or not and reason for failure / with retrospect respondent is asked for future job desire at age 4 and 12 and at the age of leaving definitively either primary or secondary education.P1107f and P1107h: Job history of respondents / any paid job after finished education / kind of work, employer, reason to change to different work / stopped working at all or not and reason / if never joined working force, asked after present situation / per job period at beginning and ending: employed or self-employed, nr. of working hours, net income, nr. of people supervised or employees, changes in nr. of working hours / for each job period profession and place of employment CBS coded.P1107g: Most important dates and events from previous questionnaires (P1107a/b/c/d/e/f) presented to respondent for reconsideration and correction / general evaluative questions.Background variables: basic characteristics/ place of birth/ residence/ housing situation/ household characteristics/ characteristics of parental family/household/ place of work/ occupation/employment/ income/capital assets/ education/ religion

Social networks are tied to population dynamics; interactions are driven by population density and demographic structure, while social relationships can be key determinants of survival and reproductive success. However, difficulties integrating models used in demography and network analysis have limited research at this interface. We introduce the R package genNetDem for simulating integrated network-demographic datasets. It can be used to create longitudinal social networks and/or capture-recapture datasets with known properties. It incorporates the ability to generate populations and their social networks, generate grouping events using these networks, simulate social network effects on individual survival, and flexibly sample these longitudinal datasets of social associations. By generating co-capture data with known statistical relationships it provides functionality for methodological research. We demonstrate its use with case studies testing how imputation and sampling design influence the success of adding network traits to conventional Cormack-Jolly-Seber (CJS) models. We show that incorporating social network effects in CJS models generates qualitatively accurate results, but with downward-biased parameter estimates when network position influences survival. Biases are greater when fewer interactions are sampled or fewer individuals are observed in each interaction. While our results indicate the potential of incorporating social effects within demographic models, they show that imputing missing network measures alone is insufficient to accurately estimate social effects on survival, pointing to the importance of incorporating network imputation approaches. genNetDem provides a flexible tool to aid these methodological advancements and help researchers test other sampling considerations in social network studies.

This dataset covers ballots 255-60, and 262-63, spanning January, March, May, July, September-October, and December 1957. The dataset contains the data resulting from these polls in ASCII. The ballots are as follows: 255 - January This Gallup poll seeks the opinions of Canadians mainly on current events and news issues. Some of this poll's question were also intended to ascertain respondents' political opinions. Respondents were asked questions so that they could be grouped according to geographic, demographic and social variables as well. Topics of interest include: alcohol consumption; beer sales in grocery stores; beverage consumption; Canadian Arts Council; car ownership; federal election; government funding for art; immigration policy; interesting things done by people; New Years resolutions; the most important world event; preferred political parties; predictions for 1957; prohibition of alcohol; railway workers strike; public utilities strike; television ownership; temperament; union membership; voting behaviour; and winter vacations. Basic demographics variables are also included. 256 - March This Gallup poll seeks to obtain the views of Canadians on current issues of national importance. Included are questions on labour unions, religion, and activities people do and feel should be allowed on Sundays. Respondents were also asked questions so that they could be grouped according to geographic, demographic, and social variables. Topics of interest include: belief in the New Testament; car ownership; the federal election; the ideal number of children; labour union criticisms; whether newspapers should be allowed on Sunday; old age pension amounts; whether organized sports should be allowed on Sunday; preferred political parties; physical exam requirements to be able to drive a vehicle; religious influence; Sunday activities; whether theatres should be allowed to be open on Sunday; union membership; the influence of the United Nations, and voting behaviour. Basic demographics variables are also included. 257 - May This Gallup poll seeks the opinions of Canadians on issues of importance to the government and to the country. Included are questions regarding voting patterns and elections, America's influence over Canada, and travelling habits of Canadians. The respondents were also asked questions so that they could be grouped according to geographic, demographic and social variables. Topics of interest include: the 35 hour work week; America's influence over Canada; the church's refusal to wed divorcees; the cost of taking a trip; the federal election; foreign policy; preferred political parties; the purpose of taking a trip; tax cuts; union membership; transportation used to take a trip; and voting behaviour. Basic demographics variables are also included. 258 - May This Gallup poll aims to collect the opinions of Canadians on issues of importance to the country and to the government. This survey focuses on mostly political topics, such as elections and voting, and the influence of the United States over Canada. Respondents were also asked questions so that they could be grouped according to geographic, demographic, and social variables. Topics of interest include: American investment in Canada, the American lifestyle; Canada's dependence on the United States, the federal election; financial dependence on the United States; government policy; how hard people work; religious services; Sunday school; union membership; and voting behaviour. Basic demographics variables are also included. 259 - July This Gallup poll seeks to collect the opinions of Canadians. The majority of questions either deal directly with politics or the Federal election that was held in the month before this poll. Questions also inquire about voting patterns and issues that affect how respondents vote. Respondents were also asked questions so that they could be grouped according to geographic, demographic, and social variables. Topics of interest include: whether respondents have been in a small boat recently; car ownership; Dr. Salk's polio vaccination; government priorities; John Diefenbaker; Louis St. Laurent; preferred political party; predictions and opinions for the next federal election; Progressive Conservative party; the Queen's visit to Ottawa; reactions to the federal election results; smoking habits and quitting; swimming ability; union membership; voting behaviour; and why the Conservatives won the federal election. Basic demographics variables are also included. 260 - September: first sample with 1223 respondents This Gallup poll is interested in collecting Canadians' opinions. The predominant subject of the survey questions is politics, including everything from the Queen to nuclear weapons testing and fallout. There were also questions asked to help group the respondents according to geographic, demographic, and social variables. Topics of interest include: A-bomb testing; American television programs; awareness of cabinet ministers; the British Commonwealth as a trading partner; Canadian television programmes; car ownership; federal elections; Governor General preference; H-bomb testing; inflation and high prices; job-type preference; John Diefenbaker's performance as Prime Minister; Louis St. Laurent's successor; nuclear weapons and fallout; performance of the advisors to the Queen; Russia's foreign policy objectives; speeches given by the Queen; television ownership; union membership; the United States as a trading partner; and voting behaviours. Basic demographics variables are also included. 260-c2 - September: same as above; second sample with 952 respondents 262 - October This Gallup poll seeks to collect the opinions of Canadians on important political issues, both in Canada and abroad. The major political issues discussed within Canada include prices, defence and unemployment, although lighter issues such as advertising and how spare time is spent are also discussed. Respondents were also asked questions so that they could be classified according to geographic, demographic and social variables. Basic demographics variables are also included. 263 - December This Gallup poll seeks to collect the opinions of Canadians on important political issues, both in Canada and abroad. The major political issues discussed within Canada include prices, defence and unemployment, although lighter issues such as advertising and how spare time is spent are also discussed. Respondents were also asked questions so that they could be classified according to geographic, demographic and social variables. The topics of interest include: whether advertisements are believable or not; the Arab Israeli conflict in Palestine; car ownership; the Conservative party; defense policy; the federal election; government control of schools; how spare time is spent; John Diefenbaker's performance as Prime Minister; the number of jobs held by respondents; preferred political parties; price trends; Unemployment rates; union membership; and voting behaviour. Basic demographics variables are also included. The codebook for this dataset is available through the UBC Library catalogue, with call number HN110.Z9 P84.

Links between socio-demographic factors and intention to have children.

How much time do people spend on social media?

              As of 2024, the average daily social media usage of internet users worldwide amounted to 143 minutes per day, down from 151 minutes in the previous year. Currently, the country with the most time spent on social media per day is Brazil, with online users spending an average of three hours and 49 minutes on social media each day. In comparison, the daily time spent with social media in
              the U.S. was just two hours and 16 minutes. Global social media usageCurrently, the global social network penetration rate is 62.3 percent. Northern Europe had an 81.7 percent social media penetration rate, topping the ranking of global social media usage by region. Eastern and Middle Africa closed the ranking with 10.1 and 9.6 percent usage reach, respectively.
              People access social media for a variety of reasons. Users like to find funny or entertaining content and enjoy sharing photos and videos with friends, but mainly use social media to stay in touch with current events friends. Global impact of social mediaSocial media has a wide-reaching and significant impact on not only online activities but also offline behavior and life in general.
              During a global online user survey in February 2019, a significant share of respondents stated that social media had increased their access to information, ease of communication, and freedom of expression. On the flip side, respondents also felt that social media had worsened their personal privacy, increased a polarization in politics and heightened everyday distractions.

IntroductionBetween June and September 2022, an outbreak of acute kidney injury (AKI) occurred in The Gambia among children, with 82 cases and 66 deaths recorded. Medicines taken by children with AKI were found to contain unacceptable amounts of diethylene glycol (DEG) and ethylene glycol (EG). The objective of the study was to establish the likely cause of the AKI outbreak and associated risk factors.Materials and methodsA case-cohort study was conducted in six of the seven regions of The Gambia. Cases were children eight years or younger, residing within the six regions in the study period and diagnosed with AKI within that period. Controls were children in the same age range as cases and residing within the same neighborhood as cases but without a diagnosis of AKI. Three hundred twenty-one children were recruited for the sub-cohort from which controls were selected. Data were analyzed using Marginal Structural Models for a point treatment with the inverse probability of treatment weights estimator. Multivariable logistic regression was used to identify risk factors for AKI using a 5% level of significance in the final model.ResultsSixty-three cases and 258 controls were enrolled into the study. Of the 63 cases, 58 were confirmed and five were suspected cases. AKI among the children was causally associated with ingestion of adulterated medicine(s) (OR = 1.76 (1.60–1.92); p < 0.0001). Risk factors of AKI were the ingestion of adulterated medicine(s), concomitant medicines, and being of a younger age.ConclusionThe acute kidney injury outbreak that occurred among children in The Gambia in the period June through September 2022 was causally associated with the ingestion of adulterated medicines. The risk was increased by consumption of concomitant medicines and being of a younger age. DEG adulteration of paediatric medicines has been an all-too -common event in multiple countries.

Food festivals have been a growing tourism sector in recent years due to their contributions to a region’s economic, marketing, brand, and social growth. This study analyses the demand for the Bahrain food festival. The stated objectives were: i) To identify the motivational dimensions of the demand for the food festival, (ii) To determine the segments of the demand for the food festival, and (iii) To establish the relationship between the demand segments and socio-demographic aspects. The food festival investigated was the Bahrain Food Festival held in Bahrain, located on the east coast of the Persian Gulf. The sample consisted of 380 valid questionnaires and was taken using social networks from those attending the event. The statistical techniques used were factorial analysis and the K-means grouping method. The results show five motivational dimensions: Local food, Art, Entertainment, Socialization, and Escape and novelty. In addition, two segments were found; the first, Entertainment and novelties, is related to attendees who seek to enjoy the festive atmosphere and discover new restaurants. The second is Multiple motives, formed by attendees with several motivations simultaneously. This segment has the highest income and expenses, making it the most important group for developing plans and strategies. The results will contribute to the academic literature and the organizers of food festivals.

The purpose of the study: to determine the changes in Lithuanian pupils' interest in public affairs, their civil participation, willingness to be engaged in civil actions at the local and national level, the attitudes towards the available civil power and the assessment of the friendliness of social environment to engage in civil activities. Major investigated questions: respondents were asked if it is important for them to know daily news about sport, life of famous people, cultural life, political life, business and economy, criminal news and accidents, news about matters of their place of residence, community problems. It was questioned if media in Lithuania (press, newspapers, television, internet news portals) provides reliable news about work and adopted decisions of our country's government. It was questioned how often respondents talk about politics with their friends, parents and teachers. Respondents were asked if they are interested in politics. Respondents had an opportunity to indicate how would they act if a serious political, economic or some local significance problem would emerge for them and for a whole society. It was questioned if initiative in school related with solving political, economic or local problems would be supported by teachers, classmates, other students, parents and people outside school (community of city or village). It was questioned if respondents would participate in the Seimas elections in October. Respondents assessed possibilities of their participation in political life. It was questioned to what extent an ordinary person must be active in his/hers community life. After a group of questions about various forms of political participation and means of community actions or social solidarity was presented, respondents civic activity was assessed. It was analysed in what way participation in civic activities (activity of civic organizations, civic actions, activity of community, etc.) could be important personally. After a list of different pupil organizations was presented, respondents were asked if currently they participate, have participated or never participated in activities of those organizations. It was questioned how much attention is dedicated to civic education in school where respondents study and if civic education is useful. After a list of statements was presented, respondents were asked about civic education in school. It was questioned if citizenship of pupils is educated in classes of Lithuanian language, history and ethics/religion. After different groups of society was listed, respondents were asked to evaluate power of these groups over influence on decision making that affects lives of society as a whole or its different groups. Also, respondents were asked to assess the risk of civic activity when they were asked how it is likely that residents who currently are initiating or actively participating in civic actions, activities would encounter with problems that were listed to respondents. Respondents had an opportunity to evaluate present conditions of living in Lithuania in a ten-point scale. Further, respondents were asked what living condition it will be in Lithuania in 10 years. At the end of the survey, respondents were asked if they would like to permanently leave Lithuania and go live in another country. Socio-demographic characteristics: gender, age, nationality, education, monthly family income per one family member, occupation, place of residence.

This dataset covers ballots 235-39, spanning March, May, July, September, and November 1954. The dataset contains the data resulting from these polls in ASCII. The ballots are as follows: 235 - March This Gallup poll explores the opinions of Canadians on various political issues, current events, and asks their predictions for the future. It also tackles such topics as unemployment and gender issues. All respondents were asked questions so that they could be classified according to demographic, geographic and social variables. Topics of interest include: car ownership; China; city problems; communism; economic depression; Eisenhower; elections; gender issues; housing; ideal job for women; international trade; life expectancy; marriage quarrels; price trends; Prime Minister; political parties; changes in postage price; Russia; sleeping patterns; unemployment rates; union membership; voting behaviour; work in an asylum; and the world tour taken by the Prime Minister. Basic demographics variables are also included. 236 - May This Gallup poll explores the opinions of Canadians on various political issues, current events, and personal habits. Topics of interest include: coffee consumption, equal pay, holiday plans, the hydrogen bomb, intervening in Indo-China, the voting age, recommended professions, investing habits, teaching money management in school, opinions on foreign investment, immigration, past mistakes, Senator Joseph R. McCarthy, schooling, voting behavior. Basic demographics variables are also included. 237 - July This Gallup poll explores Canadians' opinions on trends and current events. It includes topics such as jobs, job hiring, politics, money and religion. Additionally, personal information has been collected from the respondents so that they can be grouped into demographic, geographic and social groups. The topics of interest include: the Bible; car ownership; dating; desirable qualities of character; divorce; family spending; the federal election; Germany; government's main job; marriage success; phone ownership; preferred political party; price expectations; problems facing Canada; problems with education; racial discrimination; radio contests; Russia; standard of living; union membership; voting behaviour; and what to do in the event of an air raid. Basic demographics variables are also included. 238 - September This Gallup poll explores Canadians' opinions on trends and current events. Topics of interest include: who should be pictured on Canadian currency, your driving record listing crimes, war with Russia, travel habits, the E.D.C., the consequences of German rearming, reactions in a fire, the St. Lawrence Seaway plan, communism, discipline in schools, Thanksgiving plans, schooling, voting behavior. Basic demographics variables are also included. 239 - November This Gallup poll aims to gather Canadians' opinions on issues that are generally important to the country. Such issues include mandatory retirement, education, unemployment and world peace. All respondents were also asked questions so that they could be grouped according to geography, demographics and social class. Topics of interest include: awareness of cabinet ministers; British commonwealth; car ownership; Christmas; desirable laws; driving convictions; federal elections; labour strikes; mandatory retirement; mother in laws; phone ownership; preferred political parties; prospects for world peace; responsibility for running schools; Russia; Santa Claus; sportsman of the year; labour strikes; teachers' pay; unemployment rate; and voting behaviour. Basic demographics variables are also included. The codebook for this dataset is available through the UBC Library catalogue, with call number HN110.Z9 P84.

Within the framework of the European Union, European institutions are aware of the importance of developing and strengthening Social Capital networks in order to assure social cohesion and eliminate social exclusion. Moreover, the enlargement to 10 new member States last year implies challenges in terms of regional integration for which the development of the Social Capital may become essential. In this context of heightened awareness of people’s values and day-to-day interaction, the DG Employment and Social Affairs was interested in measuring the level of Social Capital networks in the European Union and in two candidate countries (Bulgaria and Romania). For this purpose, 25.978 interviews were conducted between 22nd November and 19th December 2004. The report aims to present the main results obtained during this poll. This report is divided in 6 parts: ♦ The context and determinants of Social Capital: personal satisfaction with main social, economical and political domains as well as satisfaction with personal fields ♦ Trust and socialization: generalized trust and informal socialization (time spent in socializing with friends, neighbours and work colleagues) ♦ Informal Social Capital ♦ Networks and associational activities ♦ Social capital and political and civic commitment ♦ The care of elderly.

The results by volumes are distributed as follows:

• Volume A: Countries
• Volume AA: Groups of countries
• Volume A' (AP): Trends
• Volume AA' (AAP): Trends of groups of countries
• Volume B: EU/socio-demographics
• Volume B' (BP) : Trends of EU/ socio-demographics
• Volume C: Country/socio-demographics ---- Researchers may also contact GESIS - Leibniz Institute for the Social Sciences: https://www.gesis.org/eurobarometer

The purpose of the study: assess the opinion of the Lithuanian population on the issues relevant to the society during the rapid political, social, and economic transformation in the country. Major investigated questions: imagining that Lithuania became economically independent, respondents were asked to guess how the well-being of the Lithuanian people would change over the next decade. It was asked whether they were interested in politics and whether the respondents took part in any rallies, commemorations, public political actions, deliberations of orders, laws, and other documents during the summer. Next, it was wanted to find out from which information sources the surveyed Lithuanians first find out about the most important events in Lithuania. It was asked to answer for which party or movement a representative would vote if various political parties and movements nominated their candidates for the Supreme Council of the Lithuanian SSR in the next elections. It was asked what kind of economic system the respondents would like for the future in Lithuania and what should be Lithuania's relationship with the USSR. The activities of various Lithuanian political forces and movements, M. Gorbachev's domestic policy, A. Brazauskas as a political leader representing Lithuania's interests, former President of the Republic of Lithuania A. Smetona, and the activities of the respondents' district (city) party committee and Sąjūdis were further assessed. It was wanted to find out whether the State Security Committee and the Ministry of the Interior should be subordinated only to the Lithuanian SSR. Respondents were asked whether they believed and how they viewed children’s religious education. They were asked whether they read the Sąjūdis press and what actions should be taken if the Ignalina Nuclear Power Plant became Lithuanian. Mr. Gorbachev's 1985 launched an anti-alcohol campaign in the USSR and to express an opinion on the sale of alcoholic beverages. Respondents were asked if they were satisfied with the financial situation of their family. When asked to imagine that two school-age children are growing up in the family, the wife earns 150 rubles, asking how much the husband should earn for the family to live normally. Respondents were further asked to rate the prestige of the firefighting profession in society and were asked if they could recognize firefighters from the uniform on the street. In case of several accidents and catastrophes in Lithuania, which caused fires, it was asked whether the respondents had enough information about their consequences. It was also asked whether "rapid response" teams to fires, accidents, and disasters had been formed in Lithuania. When asked to imagine that in the event of an accident - a fire at a nuclear power plant, oil refinery, etc., the interviewed Lithuanian residents were asked whether firefighters would be able to successfully operate in such a situation. It is further explained how many languages respondents speak other than their mother tongue. Asked if they have a phone and a car at home. They were asked whether they had vacationed at the seaside during the last 5 years and whether they had been on a business trip or a tourist trip abroad. Socio-demographic characteristics: gender, age, number of years of education, education, social status, nationality, monthly family income per one family member, place of residence.

Socio-demographic and clinical characteristics and main parameters of OERP components of groups at T1, frequencies (%).