4 datasets found
  1. e

    The Multidimensional Wellbeing in Youth Scale (MWYS): Development and...

    • datarepository.eur.nl
    txt
    Updated May 31, 2023
    + more versions
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    Kayla Green; Suzanne van de Groep; Renske van der Cruijsen; Marike Polak; Eveline A. Crone (2023). The Multidimensional Wellbeing in Youth Scale (MWYS): Development and Psychometric Properties_Syntax [Dataset]. http://doi.org/10.25397/eur.21988808.v1
    Explore at:
    txtAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Erasmus University Rotterdam (EUR)
    Authors
    Kayla Green; Suzanne van de Groep; Renske van der Cruijsen; Marike Polak; Eveline A. Crone
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Syntax for Study 1 and 3 In the present multi-sample mixed method study, we developed a novel assessment tool of youth wellbeing, the Multidimensional Wellbeing in Youth Scale (MWYS). In Study 1, an online survey study among Dutch-speaking adolescents and young adults (N = 339, Mage = 18.44 years, SD = 3.53, 79 % females) was conducted to inspect which initial MWYS-items were viewed as being important for their wellbeing. In Study 2, we co-evaluated the original MWYS-items and co-created new items with adolescents and young adults (N = 25) via focus groups. In Study 3, we examined the validity and reliability of the updated MWYS in a new sample of Dutch-speaking adolescents and young adults (N = 239, Mage = 19.68 years, SD = 4.40, 68 % females). Principal Components Analyses revealed five preliminary components of adolescent wellbeing: 1) having impact, purpose, and meaning; 2) dealing with stress and worry; 3) family relationships; 4) self-confidence; and 5) feeling respected, appreciated, and loved. These MWYS-components were related to other measures of mental health and wellbeing, and the MWYS showed good internal consistency and test-retest reliability. In conclusion, the MWYS was found to be a valid and reliable measure of youth wellbeing.

  2. a

    SBLA Physical Health Indicators

    • equity-lacounty.hub.arcgis.com
    • hub.arcgis.com
    Updated Sep 23, 2022
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    County of Los Angeles (2022). SBLA Physical Health Indicators [Dataset]. https://equity-lacounty.hub.arcgis.com/items/83711b40bead4057ae35f52f64a1ddd4
    Explore at:
    Dataset updated
    Sep 23, 2022
    Dataset authored and provided by
    County of Los Angeles
    Description

    Created for the 2023-2025 State of Black Los Angeles County (SBLA) interactive report. To learn more about this effort, please visit the report home page at https://ceo.lacounty.gov/ardi/sbla/. For more information about the purpose of this data, please contact CEO-ARDI. For more information about the configuration of this data, please contact ISD-Enterprise GIS. table_name indicator_name Universe source timeframe source_url

    life_expectancy_countyhealthrankings_2020 Life Expectancy Total Population County Health Rankings 2018-2020 https://www.countyhealthrankings.org/app/california/2022/measure/outcomes/147/data

    obese_est_adult_lachs_2018 Obese Estimate (#) Adults (Ages 18 Years and Older) LAC Health Survey 2018 www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

    obese_perc_adult_lachs_2018 Obese Percent (%) Adults (Ages 18 Years and Older) LAC Health Survey 2018www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

    overweight_est_adult_lachs_2018 Overweight Estimate (#) Adults (Ages 18 Years and Older) LAC Health Survey 2018 www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

    overweight_perc_adult_lachs_2018 Overweight Percent (%) Adults (Ages 18 Years and Older) LAC Health Survey 2018 www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

    diabetes_est_adult_lachs_2018 Ever Diagnosed with Diabetes Estimate (#) Adults (Ages 18 Years and Older) LAC Health Survey 2018 www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

    diabetes_perc_adult_lachs_2018 Ever Diagnosed with Diabetes Percent (%) Adults (Ages 18 Years and Older) LAC Health Survey 2018 www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

    regular_source_of_care_est_adult_lachs_2018 Reported Having a Regular Source of Health Care Estimate (#) Adults (Ages 18 Years and Older) LAC Health Survey 2018www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

    regular_source_of_care_perc_adult_lachs_2018 Reported Having a Regular Source of Health Care Percent (%) Adults (Ages 18 Years and Older) LAC Health Survey 2018 www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

    depression_est_adult_lachs_2018 Ever Diagnosed with Depression Estimate (#) Adults (Ages 18 Years and Older) LAC Health Survey 2018www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

    depression_perc_adult_lachs_2018 Ever Diagnosed with Depression Percent (%) Adults (Ages 18 Years and Older) LAC Health Survey 2018www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

    perceived_safe_est_adult_lachs_2018 Perceived Their Neighborhood to Be Safe from Crime Estimate (#) Adults (Ages 18 Years and Older) LAC Health Survey 2018 www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

    perceived_safe_perc_adult_lachs_2018 Perceived Their Neighborhood to Be Safe from Crime Estimate (%) Adults (Ages 18 Years and Older) LAC Health Survey 2018 www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

    dental_care_est_child_lachs_2018 Had Dental Care within the past Year Estimate (#) Children (Ages 17 Years and Younger) LAC Health Survey 2018www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

    dental_care_perc_child_lachs_2018 Had Dental Care within the past Year Percent (%) Children (Ages 17 Years and Younger) LAC Health Survey 2018www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

    no_usual_source_est_chis_2020 No usual source of care Estimate (#) Total Population California Health Interview Survey 2020 https://ask.chis.ucla.edu/AskCHIS/tools/_layouts/AskChisTool/home.aspx

    no_usual_source_perc_chis_2020 No usual source of care Percent (%) Total Population California Health Interview Survey 2020 https://ask.chis.ucla.edu/AskCHIS/tools/_layouts/AskChisTool/home.aspx

    delayed_care_est_chis_2020 Delayed or didn't get medical care last year Estimate (#) Total Population California Health Interview Survey 2020 https://ask.chis.ucla.edu/AskCHIS/tools/_layouts/AskChisTool/home.aspx

    delayed_care_est_chis_2020 Delayed or didn't get medical care last year Percent (%) Total Population California Health Interview Survey 2020 https://ask.chis.ucla.edu/AskCHIS/tools/_layouts/AskChisTool/home.aspx

    covid_vax_one_or_more_est_2022 COVID-19 Vaccination 1+ Dose Estimate (#) Population 6 months and older LAC DPH Sep-22 publichealth.lacounty.gov/media/coronavirus/vaccine/vaccine-dashboard.htm

    covid_vax_one_or_more_perc_2022 COVID-19 Vaccination 1+ Dose Percent (%) Population 6 months and older LAC DPH Sep-22 publichealth.lacounty.gov/media/coronavirus/vaccine/vaccine-dashboard.htm

    covid_vax_full_est_2022 COVID-19 Fully Vaccinated Estimate (#) Population 6 months and older LAC DPH Sep-22publichealth.lacounty.gov/media/coronavirus/vaccine/vaccine-dashboard.htm

    covid_vax_full_perc_2022 COVID-19 Fully Vaccinated Percent (%) Population 6 months and older LAC DPH Sep-22 publichealth.lacounty.gov/media/coronavirus/vaccine/vaccine-dashboard.htm

    covid_vax_one_or_more_children_est_2022 COVID-19 Vaccination 1+ Dose - Children under 5 Estimate (#) Population older than 6 months and under 5 years LAC DPH Sep-22 publichealth.lacounty.gov/media/coronavirus/vaccine/vaccine-dashboard.htm

    covid_vax_one_or_more_children_perc_2022 COVID-19 Vaccination 1+ Dose Children under 5 Percent (%) Population older than 6 months and under 5 years LAC DPH Sep-22 publichealth.lacounty.gov/media/coronavirus/vaccine/vaccine-dashboard.htm

    covid_vax_one_or_more_youth_est_2022 COVID-19 Vaccination 1+ Dose - Youth 5-17 Estimate (#) Population 5-17 years LAC DPH Sep-22publichealth.lacounty.gov/media/coronavirus/vaccine/vaccine-dashboard.htm

    covid_vax_one_or_more_youth_perc_2022 COVID-19 Vaccination 1+ Dose Youth 5-17 Percent (%) Population 5-17 years LAC DPH Sep-22 publichealth.lacounty.gov/media/coronavirus/vaccine/vaccine-dashboard.htm

    covid_vax_one_or_more_adults_est_2022 COVID-19 Vaccination 1+ Dose - Adults Estimate (#) Population 18 and older LAC DPH Sep-22 publichealth.lacounty.gov/media/coronavirus/vaccine/vaccine-dashboard.htm

    covid_vax_one_or_more_adults_perc_2022 COVID-19 Vaccination 1+ Dose Adults Percent (%) Population 18 and older LAC DPH Sep-22 publichealth.lacounty.gov/media/coronavirus/vaccine/vaccine-dashboard.htm

    insured_pop_est_acs_2020 Insured population # Civilian noninstitutionalized population 2016-2020 ACS - S2701 https://data.census.gov/cedsci/table?g=0500000US06037&tid=ACSST5Y2020.S2701

    insured_pop_perc_acs_2020 Insured population % Civilian noninstitutionalized population 2016-2020 ACS - S2701 https://data.census.gov/cedsci/table?g=0500000US06037&tid=ACSST5Y2020.S2701

    mch_indicators_2019 Babies Born with Positive MCH Indicators Babies born in time frame Strong Start Index 2016-2019 https://infogram.com/1pj576jwy166z1s6ywvk32l5lkammrym3wy?live

    current_asthma Percent of Adults (Ages 18 Years and Older) with Current Asthma Adults Los Angeles County Health Survey 2018 https://www.publichealth.lacounty.gov/ha/HA_DATA_TRENDS.htm

    no_med_insurance Percent of Insured Adults (Ages 18 Years and Older) Who Reported a Time Without Medical Insurance in the past 12 Months. Adults Los Angeles County Health Survey 2011 https://www.publichealth.lacounty.gov/ha/HA_DATA_TRENDS.htm

    transportation_problems Percent of Adults (Ages 18 Years and Older) Who Reported That Transportation Problems Kept Them from Obtaining Needed Medical Care in the past Year. Adults Los Angeles County Health Survey 2007 https://www.publichealth.lacounty.gov/ha/HA_DATA_TRENDS.htm

  3. a

    Health service provision for and utilisation by young people (10-24 years)...

    • data.ahri.org
    Updated Apr 9, 2019
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    Doyle, Aoife (2019). Health service provision for and utilisation by young people (10-24 years) study conducted between September 2016 and August 2017 within the Africa Health Research Institute’s Population Intervention Programme Surveillance Area in northern KwaZulu-Natal, - South Africa [Dataset]. https://data.ahri.org/index.php/catalog/916
    Explore at:
    Dataset updated
    Apr 9, 2019
    Dataset provided by
    Seeley, Janet
    Doyle, Aoife
    Time period covered
    2016 - 2017
    Area covered
    South Africa
    Description

    Abstract

    The aim of this formative research was to explore current health service provision for adolescents and young people (10-24 years old) in rural KwaZulu-Natal and to identify potential areas for improvement of services. The specific objectives were: (1) to summarise government health policy in relation to young people and the services that should be available (2) to document the primary health care services that are available to young people (3) to document health service utilisation by young people (4) to document and assess the appropriateness of the locations where young people could potentially access health services (places they congregate or meet) (5) to explore facilitators and barriers to health service uptake by young people (6) to outline a proposal to develop and test the impact of an intervention to improve health service utilisation by young people. The study methods comprised qualitative interviews with young people, health workers and key stakeholders (District officials, local leaders, parents/guardians), participatory mapping by young people of their communities, and a retrospective health record review. The data available are both qualitative and quantitative. Qualitative data comprise anonymised and de-identified transcripts, audio-recordings, interview summaries, drawings, and notes from spiral walk observations. Quantitative data comprise (1) health register review data captured in the field on REDCap forms: main variables are age, gender, presenting condition, treatment given, screening of learners, referrals (2) District Health Information System (DHIS) adolescent health indicator data for the 17 PHCC in Mtubatuba and Hlabisa sub-districts for the period May 2016-September 2016. (3) ClinicLink data for 11 PHCC and one hospital linked to the AHRI population intervention platform for the period Jan-Dec 2017: main variables are age, gender, reason for attendance.

    Geographic coverage

    Population Intervention Programme Study Area of the Africa Health Research Institute

    Analysis unit

    Individual and group interview data. Individual and aggregate health register data

    Universe

    Rural and peri-urban young males and females aged 10-24 years and adults (all ages)

    Kind of data

    Health register data; coded textual data; textual data; audio recordings; drawings

    Sampling procedure

    Participants were recruited face to face in the schools, community and health facilities using purposive sampling

    Cleaning operations

    Transcribed data were translated into English and iteratively analysed for themes using content analysis. A deductive and inductive organising framework was used to organise the data and to develop codes and themes. After familiarisation with the interviews, three researchers (BN, LSM, NN) and fieldworkers conducted initial open coding independently. These were reviewed by two co-authors (JS and AD). Themes were determined by the content of the interview guides combined with an inductive development of codes as they emerged from the data

  4. f

    ART initiation status at health facilities offering ART services in Alebtong...

    • plos.figshare.com
    xls
    Updated Jun 16, 2023
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    Anthony Mark Ochen; David Lubogo; Michael Ediau; Victoria Nankabirwa (2023). ART initiation status at health facilities offering ART services in Alebtong district. [Dataset]. http://doi.org/10.1371/journal.pgph.0000691.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 16, 2023
    Dataset provided by
    PLOS Global Public Health
    Authors
    Anthony Mark Ochen; David Lubogo; Michael Ediau; Victoria Nankabirwa
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Alebtong
    Description

    ART initiation status at health facilities offering ART services in Alebtong district.

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Kayla Green; Suzanne van de Groep; Renske van der Cruijsen; Marike Polak; Eveline A. Crone (2023). The Multidimensional Wellbeing in Youth Scale (MWYS): Development and Psychometric Properties_Syntax [Dataset]. http://doi.org/10.25397/eur.21988808.v1

The Multidimensional Wellbeing in Youth Scale (MWYS): Development and Psychometric Properties_Syntax

Related Article
Explore at:
txtAvailable download formats
Dataset updated
May 31, 2023
Dataset provided by
Erasmus University Rotterdam (EUR)
Authors
Kayla Green; Suzanne van de Groep; Renske van der Cruijsen; Marike Polak; Eveline A. Crone
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

Syntax for Study 1 and 3 In the present multi-sample mixed method study, we developed a novel assessment tool of youth wellbeing, the Multidimensional Wellbeing in Youth Scale (MWYS). In Study 1, an online survey study among Dutch-speaking adolescents and young adults (N = 339, Mage = 18.44 years, SD = 3.53, 79 % females) was conducted to inspect which initial MWYS-items were viewed as being important for their wellbeing. In Study 2, we co-evaluated the original MWYS-items and co-created new items with adolescents and young adults (N = 25) via focus groups. In Study 3, we examined the validity and reliability of the updated MWYS in a new sample of Dutch-speaking adolescents and young adults (N = 239, Mage = 19.68 years, SD = 4.40, 68 % females). Principal Components Analyses revealed five preliminary components of adolescent wellbeing: 1) having impact, purpose, and meaning; 2) dealing with stress and worry; 3) family relationships; 4) self-confidence; and 5) feeling respected, appreciated, and loved. These MWYS-components were related to other measures of mental health and wellbeing, and the MWYS showed good internal consistency and test-retest reliability. In conclusion, the MWYS was found to be a valid and reliable measure of youth wellbeing.

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