8 datasets found
  1. Self-reported mental health status of Americans in 2023, by generation

    • statista.com
    Updated Feb 27, 2024
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    Statista (2024). Self-reported mental health status of Americans in 2023, by generation [Dataset]. https://www.statista.com/statistics/1452714/self-reported-mental-health-status-by-generation-in-the-us/
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    Dataset updated
    Feb 27, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    According to a survey conducted in the U.S. in 2023, ten percent of Gen Z respondents indicated that their mental health was 'poor', the highest across all generations. On the other hand, four in ten respondents from the baby boomer generation reported their mental health was excellent. This statistic illustrates the self-reported mental health status of Americans as of 2023

  2. Health Status in Adults - CDPHE Community Level Estimates (Census Tracts)

    • hub.arcgis.com
    • geodata.colorado.gov
    • +2more
    Updated May 12, 2016
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    Colorado Department of Public Health and Environment (2016). Health Status in Adults - CDPHE Community Level Estimates (Census Tracts) [Dataset]. https://hub.arcgis.com/datasets/23ae398f235f471c8b482a67bdb6b141
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    Dataset updated
    May 12, 2016
    Dataset authored and provided by
    Colorado Department of Public Health and Environmenthttps://cdphe.colorado.gov/
    Area covered
    Description

    These data represent the predicted (modeled) prevalence of Fair or Poor Health Status among adults (Age 18+) for each census tract in Colorado. General health status was self-reported as 'fair' or 'poor' as opposed to 'good', 'very good', or 'excellent'.The estimate for each census tract represents an average that was derived from multiple years of Colorado Behavioral Risk Factor Surveillance System data (2014-2017).CDPHE used a model-based approach to measure the relationship between age, race, gender, poverty, education, location and health conditions or risk behavior indicators and applied this relationship to predict the number of persons' who have the health conditions or risk behavior for each census tract in Colorado. We then applied these probabilities, based on demographic stratification, to the 2013-2017 American Community Survey population estimates and determined the percentage of adults with the health conditions or risk behavior for each census tract in Colorado.The estimates are based on statistical models and are not direct survey estimates. Using the best available data, CDPHE was able to model census tract estimates based on demographic data and background knowledge about the distribution of specific health conditions and risk behaviors.The estimates are displayed in both the map and data table using point estimate values for each census tract and displayed using a Quintile range. The high and low value for each color on the map is calculated based on dividing the total number of census tracts in Colorado (1249) into five groups based on the total range of estimates for all Colorado census tracts. Each Quintile range represents roughly 20% of the census tracts in Colorado. No estimates are provided for census tracts with a known population of less than 50. These census tracts are displayed in the map as "No Est, Pop < 50."No estimates are provided for 7 census tracts with a known population of less than 50 or for the 2 census tracts that exclusively contain a federal correctional institution as 100% of their population. These 9 census tracts are displayed in the map as "No Estimate."

  3. f

    Table_1_Exploring unmet needs and preferences of young adult stroke patients...

    • frontiersin.figshare.com
    docx
    Updated May 9, 2024
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    Sarah Ibrahim; Troy Francis; Kathleen A. Sheehan; Kristina Kokorelias; Aleksandra Stanimirovic; Syeda Hashmi; Csilla Kalocsai; Sharon Ng; Suze G. Berkhout; Jill I. Cameron; Valeria Rac; Aleksandra Pikula (2024). Table_1_Exploring unmet needs and preferences of young adult stroke patients for post-stroke care through PROMs and gender differences.DOCX [Dataset]. http://doi.org/10.3389/fstro.2024.1386300.s001
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    docxAvailable download formats
    Dataset updated
    May 9, 2024
    Dataset provided by
    Frontiers
    Authors
    Sarah Ibrahim; Troy Francis; Kathleen A. Sheehan; Kristina Kokorelias; Aleksandra Stanimirovic; Syeda Hashmi; Csilla Kalocsai; Sharon Ng; Suze G. Berkhout; Jill I. Cameron; Valeria Rac; Aleksandra Pikula
    License

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

    Description

    BackgroundStroke incidence among young adults of working age (under 65 years of age) has significantly increased in the past decade, with major individual, social, and economic implications. There is a paucity of research exploring the needs of this patient population. This study assessed: (1) young adult stroke patients' physical, psychological, and occupational functioning and health-related quality of life (HRQoL); and (2) post-stroke care preferences using patient-reported outcome measures (PROMs), with attention to gender differences.MethodsA cross-sectional pilot study was conducted. Sociodemographic and clinical characteristics were collected through chart review and data on occupational function, physical, psychological, and social wellbeing >90 days post-stroke through a self-reported survey. Descriptive statistics, gender-based, and regression analyses were conducted.ResultsThe sample included 85 participants. Participants reported impairments in both, occupational functioning, with 58.7% not returned to work (RTW), and HRQoL, specifically with social activities (37%), anxiety (34%), and cognitive function (34%). Women had significantly (p < 0.05) worse physical symptoms (sleep disturbance and fatigue), emotional health (depression, stigma, emotional dyscontrol) scores, and sense of self-identify post-stroke. Over 70% of participants preferred in-person post-stroke care led by health care providers and felt they would have benefited from receiving information on physical health (71.4%), emotional and psychological health (56.0%), RTW (38.1%), and self-identity (26.2%) post-stroke. Women preferred cognitive behavioral therapy (p = 0.018) and mindfulness-based stress reduction therapy (p = 0.016), while men preferred pharmacotherapy (p = 0.02) for psychological symptoms.ConclusionThis is the first study to report impaired HRQoL, psychological and occupational functioning using PROMs, with significant gender differences and preferences for post-stroke care delivery among young adult stroke patients at >90 days after stroke. The findings highlight the importance of needs, gender, and age-specific post-stroke education and interventions.

  4. Millennium Cohort Study: Age 7, Sweep 4, 2008: Physical Activity

    • beta.ukdataservice.ac.uk
    Updated 2024
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    Institute Of Education University Of London; Institute Of Child Health University College London (2024). Millennium Cohort Study: Age 7, Sweep 4, 2008: Physical Activity [Dataset]. http://doi.org/10.5255/ukda-sn-7238-3
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    Dataset updated
    2024
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    datacite
    Authors
    Institute Of Education University Of London; Institute Of Child Health University College London
    Description

    Background:
    The Millennium Cohort Study (MCS) is a large-scale, multi-purpose longitudinal dataset providing information about babies born at the beginning of the 21st century, their progress through life, and the families who are bringing them up, for the four countries of the United Kingdom. The original objectives of the first MCS survey, as laid down in the proposal to the Economic and Social Research Council (ESRC) in March 2000, were:

    • to chart the initial conditions of social, economic and health advantages and disadvantages facing children born at the start of the 21st century, capturing information that the research community of the future will require
    • to provide a basis for comparing patterns of development with the preceding cohorts (the National Child Development Study, held at the UK Data Archive under GN 33004, and the 1970 Birth Cohort Study, held under GN 33229)
    • to collect information on previously neglected topics, such as fathers' involvement in children's care and development
    • to focus on parents as the most immediate elements of the children's 'background', charting their experience as mothers and fathers of newborn babies in the year 2000, recording how they (and any other children in the family) adapted to the newcomer, and what their aspirations for her/his future may be
    • to emphasise intergenerational links including those back to the parents' own childhood
    • to investigate the wider social ecology of the family, including social networks, civic engagement and community facilities and services, splicing in geo-coded data when available
    Additional objectives subsequently included for MCS were:
    • to provide control cases for the national evaluation of Sure Start (a government programme intended to alleviate child poverty and social exclusion)
    • to provide samples of adequate size to analyse and compare the smaller countries of the United Kingdom, and include disadvantaged areas of England

    Further information about the MCS can be found on the Centre for Longitudinal Studies web pages.

    The content of MCS studies, including questions, topics and variables can be explored via the CLOSER Discovery website.

    The first sweep (MCS1) interviewed both mothers and (where resident) fathers (or father-figures) of infants included in the sample when the babies were nine months old, and the second sweep (MCS2) was carried out with the same respondents when the children were three years of age. The third sweep (MCS3) was conducted in 2006, when the children were aged five years old, the fourth sweep (MCS4) in 2008, when they were seven years old, the fifth sweep (MCS5) in 2012-2013, when they were eleven years old, the sixth sweep (MCS6) in 2015, when they were fourteen years old, and the seventh sweep (MCS7) in 2018, when they were seventeen years old.

    End User Licence versions of MCS studies:
    The End User Licence (EUL) versions of MCS1, MCS2, MCS3, MCS4, MCS5, MCS6 and MCS7 are held under UK Data Archive SNs 4683, 5350, 5795, 6411, 7464, 8156 and 8682 respectively. The longitudinal family file is held under SN 8172.

    Sub-sample studies:
    Some studies based on sub-samples of MCS have also been conducted, including a study of MCS respondent mothers who had received assisted fertility treatment, conducted in 2003 (see EUL SN 5559). Also, birth registration and maternity hospital episodes for the MCS respondents are held as a separate dataset (see EUL SN 5614).

    Release of Sweeps 1 to 4 to Long Format (Summer 2020)
    To support longitudinal research and make it easier to compare data from different time points, all data from across all sweeps is now in a consistent format. The update affects the data from sweeps 1 to 4 (from 9 months to 7 years), which are updated from the old/wide to a new/long format to match the format of data of sweeps 5 and 6 (age 11 and 14 sweeps). The old/wide formatted datasets contained one row per family with multiple variables for different respondents. The new/long formatted datasets contain one row per respondent (per parent or per cohort member) for each MCS family. Additional updates have been made to all sweeps to harmonise variable labels and enhance anonymisation.

    How to access genetic and/or bio-medical sample data from a range of longitudinal surveys:
    For information on how to access biomedical data from MCS that are not held at the UKDS, see the CLS Genetic data and biological samples webpage.

    Secure Access datasets:
    Secure Access versions of the MCS have more restrictive access conditions than versions available under the standard End User Licence or Special Licence (see 'Access data' tab above).

    Secure Access versions of the MCS include:
    • detailed sensitive variables not available under EUL. These have been grouped thematically and are held under SN 8753 (socio-economic, accommodation and occupational data), SN 8754 (self-reported health, behaviour and fertility), SN 8755 (demographics, language and religion) and SN 8756 (exact participation dates). These files replace previously available studies held under SNs 8456 and 8622-8627
    • detailed geographical identifier files which are grouped by sweep held under SN 7758 (MCS1), SN 7759 (MCS2), SN 7760 (MCS3), SN 7761 (MCS4), SN 7762 (MCS5 2001 Census Boundaries), SN 7763 (MCS5 2011 Census Boundaries), SN 8231 (MCS6 2001 Census Boundaries), SN 8232 (MCS6 2011 Census Boundaries), SN 8757 (MCS7), SN 8758 (MCS7 2001 Census Boundaries) and SN 8759 (MCS7 2011 Census Boundaries). These files replace previously available files grouped by geography SN 7049 (Ward level), SN 7050 (Lower Super Output Area level), and SN 7051 (Output Area level)
    • linked education administrative datasets for Key Stages 1, 2, 4 and 5 held under SN 8481 (England). This replaces previously available datasets for Key Stage 1 (SN 6862) and Key Stage 2 (SN 7712)
    • linked education administrative datasets for Key Stage 1 held under SN 7414 (Scotland)
    • linked education administrative dataset for Key Stages 1, 2, 3 and 4 under SN 9085 (Wales)
    • linked NHS Patient Episode Database for Wales (PEDW) for MCS1 – MCS5 held under SN 8302
    • linked Scottish Medical Records data held under SNs 8709, 8710, 8711, 8712, 8713 and 8714;
    • Banded Distances to English Grammar Schools for MCS5 held under SN 8394
    • linked Health Administrative Datasets (Hospital Episode Statistics) for England for years 2000-2019 held under SN 9030
    • linked Hospital of Birth data held under SN 5724.
    The linked education administrative datasets held under SNs 8481,7414 and 9085 may be ordered alongside the MCS detailed geographical identifier files only if sufficient justification is provided in the application.

    Researchers applying for access to the Secure Access MCS datasets should indicate on their ESRC Accredited Researcher application form the EUL dataset(s) that they also wish to access (selected from the MCS Series Access web page).

    Millennium Cohort Study: Age 7, Sweep 4, 2008: Physical Activity
    The MCS4 Physical Activity Data study surveyed levels and patterns of physical activity (PA) and sedentary behaviour (SB) among the MCS cohort. Children who took part in MCS4 (around age 7), were assessed using accelerometers issued to consenting child participants. These measurements were obtained primarily to understand the determinants and consequences of children's PA and SB in the context of the longitudinal biological, social, psychological, behavioural and environmental information collected earlier and to be collected subsequently at MCS home visits. Subsequently, an additional study investigating seasonal variation in levels and patterns of PA and SB was carried out in a sample of MCS children who had participated in the main accelerometer study during winter 2008/09. Repeat accelerometer measurements were obtained from these children during each of the three subsequent seasons during a single calendar year. For further information see the documentation and the main MCS4 survey, held at the UK Data Archive under SN 6411.

    Latest edition information
    For the third edition (September 2021), the Physical Activity Data User Guide was added to the study.

  5. Millennium Cohort Study: Age 14, Sweep 6, 2015

    • beta.ukdataservice.ac.uk
    Updated 2024
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    Institute Of Education University Of London (2024). Millennium Cohort Study: Age 14, Sweep 6, 2015 [Dataset]. http://doi.org/10.5255/ukda-sn-8156-7
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    Dataset updated
    2024
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    datacite
    Authors
    Institute Of Education University Of London
    Description

    Background:
    The Millennium Cohort Study (MCS) is a large-scale, multi-purpose longitudinal dataset providing information about babies born at the beginning of the 21st century, their progress through life, and the families who are bringing them up, for the four countries of the United Kingdom. The original objectives of the first MCS survey, as laid down in the proposal to the Economic and Social Research Council (ESRC) in March 2000, were:

    • to chart the initial conditions of social, economic and health advantages and disadvantages facing children born at the start of the 21st century, capturing information that the research community of the future will require
    • to provide a basis for comparing patterns of development with the preceding cohorts (the National Child Development Study, held at the UK Data Archive under GN 33004, and the 1970 Birth Cohort Study, held under GN 33229)
    • to collect information on previously neglected topics, such as fathers' involvement in children's care and development
    • to focus on parents as the most immediate elements of the children's 'background', charting their experience as mothers and fathers of newborn babies in the year 2000, recording how they (and any other children in the family) adapted to the newcomer, and what their aspirations for her/his future may be
    • to emphasise intergenerational links including those back to the parents' own childhood
    • to investigate the wider social ecology of the family, including social networks, civic engagement and community facilities and services, splicing in geo-coded data when available
    Additional objectives subsequently included for MCS were:
    • to provide control cases for the national evaluation of Sure Start (a government programme intended to alleviate child poverty and social exclusion)
    • to provide samples of adequate size to analyse and compare the smaller countries of the United Kingdom, and include disadvantaged areas of England

    Further information about the MCS can be found on the Centre for Longitudinal Studies web pages.

    The content of MCS studies, including questions, topics and variables can be explored via the CLOSER Discovery website.

    The first sweep (MCS1) interviewed both mothers and (where resident) fathers (or father-figures) of infants included in the sample when the babies were nine months old, and the second sweep (MCS2) was carried out with the same respondents when the children were three years of age. The third sweep (MCS3) was conducted in 2006, when the children were aged five years old, the fourth sweep (MCS4) in 2008, when they were seven years old, the fifth sweep (MCS5) in 2012-2013, when they were eleven years old, the sixth sweep (MCS6) in 2015, when they were fourteen years old, and the seventh sweep (MCS7) in 2018, when they were seventeen years old.

    End User Licence versions of MCS studies:
    The End User Licence (EUL) versions of MCS1, MCS2, MCS3, MCS4, MCS5, MCS6 and MCS7 are held under UK Data Archive SNs 4683, 5350, 5795, 6411, 7464, 8156 and 8682 respectively. The longitudinal family file is held under SN 8172.

    Sub-sample studies:
    Some studies based on sub-samples of MCS have also been conducted, including a study of MCS respondent mothers who had received assisted fertility treatment, conducted in 2003 (see EUL SN 5559). Also, birth registration and maternity hospital episodes for the MCS respondents are held as a separate dataset (see EUL SN 5614).

    Release of Sweeps 1 to 4 to Long Format (Summer 2020)
    To support longitudinal research and make it easier to compare data from different time points, all data from across all sweeps is now in a consistent format. The update affects the data from sweeps 1 to 4 (from 9 months to 7 years), which are updated from the old/wide to a new/long format to match the format of data of sweeps 5 and 6 (age 11 and 14 sweeps). The old/wide formatted datasets contained one row per family with multiple variables for different respondents. The new/long formatted datasets contain one row per respondent (per parent or per cohort member) for each MCS family. Additional updates have been made to all sweeps to harmonise variable labels and enhance anonymisation.

    How to access genetic and/or bio-medical sample data from a range of longitudinal surveys:
    For information on how to access biomedical data from MCS that are not held at the UKDS, see the CLS Genetic data and biological samples webpage.

    Secure Access datasets:
    Secure Access versions of the MCS have more restrictive access conditions than versions available under the standard End User Licence or Special Licence (see 'Access data' tab above).

    Secure Access versions of the MCS include:
    • detailed sensitive variables not available under EUL. These have been grouped thematically and are held under SN 8753 (socio-economic, accommodation and occupational data), SN 8754 (self-reported health, behaviour and fertility), SN 8755 (demographics, language and religion) and SN 8756 (exact participation dates). These files replace previously available studies held under SNs 8456 and 8622-8627
    • detailed geographical identifier files which are grouped by sweep held under SN 7758 (MCS1), SN 7759 (MCS2), SN 7760 (MCS3), SN 7761 (MCS4), SN 7762 (MCS5 2001 Census Boundaries), SN 7763 (MCS5 2011 Census Boundaries), SN 8231 (MCS6 2001 Census Boundaries), SN 8232 (MCS6 2011 Census Boundaries), SN 8757 (MCS7), SN 8758 (MCS7 2001 Census Boundaries) and SN 8759 (MCS7 2011 Census Boundaries). These files replace previously available files grouped by geography SN 7049 (Ward level), SN 7050 (Lower Super Output Area level), and SN 7051 (Output Area level)
    • linked education administrative datasets for Key Stages 1, 2, 4 and 5 held under SN 8481 (England). This replaces previously available datasets for Key Stage 1 (SN 6862) and Key Stage 2 (SN 7712)
    • linked education administrative datasets for Key Stage 1 held under SN 7414 (Scotland)
    • linked education administrative dataset for Key Stages 1, 2, 3 and 4 under SN 9085 (Wales)
    • linked NHS Patient Episode Database for Wales (PEDW) for MCS1 – MCS5 held under SN 8302
    • linked Scottish Medical Records data held under SNs 8709, 8710, 8711, 8712, 8713 and 8714;
    • Banded Distances to English Grammar Schools for MCS5 held under SN 8394
    • linked Health Administrative Datasets (Hospital Episode Statistics) for England for years 2000-2019 held under SN 9030
    • linked Hospital of Birth data held under SN 5724.
    The linked education administrative datasets held under SNs 8481,7414 and 9085 may be ordered alongside the MCS detailed geographical identifier files only if sufficient justification is provided in the application. Users are also only allowed access to either 2001 or 2011 of Geographical Identifiers Census Boundaries studies. So for MCS5 either SN 7762 (2001 Census Boundaries) or SN 7763 (2011 Census Boundaries), for the MCS6 users are only allowed either SN 8231 (2001 Census Boundaries) or SN 8232 (2011 Census Boundaries); and the same applies for MCS7 so either SN 8758 (2001 Census Boundaries) or SN 8759 (2011 Census Boundaries).

    Researchers applying for access to the Secure Access MCS datasets should indicate on their ESRC Accredited Researcher application form the EUL dataset(s) that they also wish to access (selected from the MCS Series Access web page).

    The sixth sweep of the Millennium Cohort Study was carried out when the cohort members were 14 years old. As 14 is a key transitional age, the sweep was purposefully ambitious in the breadth and scope of its contents. It included: an interview (CAPI and CASI) with the main parent and their partner (where relevant); a self-completion interview with the cohort members; cognitive assessments for the main parent, the partner and the cohort member; DNA collection of the cohort member and natural parents in the household; physical measurements of the cohort member; placement of a time use diary with the cohort member; placement of an accelerometer with the cohort member.

    For the seventh edition (November 2020), three additional cohort member Time Use Diary (TUD) data files have been added. There is a separate data file for each mode of data collection (paper form, mobile application and online form). The harmonised TUD data file is still available which combines all three modes of data collection.

  6. Millennium Cohort Study: Linked Health Administrative Datasets (Hospital...

    • beta.ukdataservice.ac.uk
    • datacatalogue.cessda.eu
    Updated 2025
    + more versions
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    UCL Institute Of Education University College London (2025). Millennium Cohort Study: Linked Health Administrative Datasets (Hospital Episode Statistics), England, 2000-2023: Secure Access [Dataset]. http://doi.org/10.5255/ukda-sn-9030-2
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    Dataset updated
    2025
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    datacite
    Authors
    UCL Institute Of Education University College London
    Area covered
    England
    Description

    Background:
    The Millennium Cohort Study (MCS) is a large-scale, multi-purpose longitudinal dataset providing information about babies born at the beginning of the 21st century, their progress through life, and the families who are bringing them up, for the four countries of the United Kingdom. The original objectives of the first MCS survey, as laid down in the proposal to the Economic and Social Research Council (ESRC) in March 2000, were:

    • to chart the initial conditions of social, economic and health advantages and disadvantages facing children born at the start of the 21st century, capturing information that the research community of the future will require
    • to provide a basis for comparing patterns of development with the preceding cohorts (the National Child Development Study, held at the UK Data Archive under GN 33004, and the 1970 Birth Cohort Study, held under GN 33229)
    • to collect information on previously neglected topics, such as fathers' involvement in children's care and development
    • to focus on parents as the most immediate elements of the children's 'background', charting their experience as mothers and fathers of newborn babies in the year 2000, recording how they (and any other children in the family) adapted to the newcomer, and what their aspirations for her/his future may be
    • to emphasise intergenerational links including those back to the parents' own childhood
    • to investigate the wider social ecology of the family, including social networks, civic engagement and community facilities and services, splicing in geo-coded data when available
    Additional objectives subsequently included for MCS were:
    • to provide control cases for the national evaluation of Sure Start (a government programme intended to alleviate child poverty and social exclusion)
    • to provide samples of adequate size to analyse and compare the smaller countries of the United Kingdom, and include disadvantaged areas of England

    Further information about the MCS can be found on the Centre for Longitudinal Studies web pages.

    The content of MCS studies, including questions, topics and variables can be explored via the CLOSER Discovery website.

    The first sweep (MCS1) interviewed both mothers and (where resident) fathers (or father-figures) of infants included in the sample when the babies were nine months old, and the second sweep (MCS2) was carried out with the same respondents when the children were three years of age. The third sweep (MCS3) was conducted in 2006, when the children were aged five years old, the fourth sweep (MCS4) in 2008, when they were seven years old, the fifth sweep (MCS5) in 2012-2013, when they were eleven years old, the sixth sweep (MCS6) in 2015, when they were fourteen years old, and the seventh sweep (MCS7) in 2018, when they were seventeen years old.

    End User Licence versions of MCS studies:
    The End User Licence (EUL) versions of MCS1, MCS2, MCS3, MCS4, MCS5, MCS6 and MCS7 are held under UK Data Archive SNs 4683, 5350, 5795, 6411, 7464, 8156 and 8682 respectively. The longitudinal family file is held under SN 8172.

    Sub-sample studies:
    Some studies based on sub-samples of MCS have also been conducted, including a study of MCS respondent mothers who had received assisted fertility treatment, conducted in 2003 (see EUL SN 5559). Also, birth registration and maternity hospital episodes for the MCS respondents are held as a separate dataset (see EUL SN 5614).

    Release of Sweeps 1 to 4 to Long Format (Summer 2020)
    To support longitudinal research and make it easier to compare data from different time points, all data from across all sweeps is now in a consistent format. The update affects the data from sweeps 1 to 4 (from 9 months to 7 years), which are updated from the old/wide to a new/long format to match the format of data of sweeps 5 and 6 (age 11 and 14 sweeps). The old/wide formatted datasets contained one row per family with multiple variables for different respondents. The new/long formatted datasets contain one row per respondent (per parent or per cohort member) for each MCS family. Additional updates have been made to all sweeps to harmonise variable labels and enhance anonymisation.

    How to access genetic and/or bio-medical sample data from a range of longitudinal surveys:
    For information on how to access biomedical data from MCS that are not held at the UKDS, see the CLS Genetic data and biological samples webpage.

    Secure Access datasets:
    Secure Access versions of the MCS have more restrictive access conditions than versions available under the standard End User Licence or Special Licence (see 'Access data' tab above).

    Secure Access versions of the MCS include:
    • detailed sensitive variables not available under EUL. These have been grouped thematically and are held under SN 8753 (socio-economic, accommodation and occupational data), SN 8754 (self-reported health, behaviour and fertility), SN 8755 (demographics, language and religion) and SN 8756 (exact participation dates). These files replace previously available studies held under SNs 8456 and 8622-8627
    • detailed geographical identifier files which are grouped by sweep held under SN 7758 (MCS1), SN 7759 (MCS2), SN 7760 (MCS3), SN 7761 (MCS4), SN 7762 (MCS5 2001 Census Boundaries), SN 7763 (MCS5 2011 Census Boundaries), SN 8231 (MCS6 2001 Census Boundaries), SN 8232 (MCS6 2011 Census Boundaries), SN 8757 (MCS7), SN 8758 (MCS7 2001 Census Boundaries) and SN 8759 (MCS7 2011 Census Boundaries). These files replace previously available files grouped by geography SN 7049 (Ward level), SN 7050 (Lower Super Output Area level), and SN 7051 (Output Area level)
    • linked education administrative datasets for Key Stages 1, 2, 4 and 5 held under SN 8481 (England). This replaces previously available datasets for Key Stage 1 (SN 6862) and Key Stage 2 (SN 7712)
    • linked education administrative datasets for Key Stage 1 held under SN 7414 (Scotland)
    • linked education administrative dataset for Key Stages 1, 2, 3 and 4 under SN 9085 (Wales)
    • linked NHS Patient Episode Database for Wales (PEDW) for MCS1 – MCS5 held under SN 8302
    • linked Scottish Medical Records data held under SNs 8709, 8710, 8711, 8712, 8713 and 8714;
    • Banded Distances to English Grammar Schools for MCS5 held under SN 8394
    • linked Health Administrative Datasets (Hospital Episode Statistics) for England for years 2000-2019 held under SN 9030
    • linked Health Administrative Datasets (SAIL) for Wales held under SN 9310
    • linked Hospital of Birth data held under SN 5724.
    The linked education administrative datasets held under SNs 8481,7414 and 9085 may be ordered alongside the MCS detailed geographical identifier files only if sufficient justification is provided in the application.

    Researchers applying for access to the Secure Access MCS datasets should indicate on their ESRC Accredited Researcher application form the EUL dataset(s) that they also wish to access (selected from the MCS Series Access web page).

    The Millennium Cohort Study: Linked Health Administrative Datasets (Hospital Episode Statistics), England, 2000-2023: Secure Access (SN 9030) includes data files from the NHS Digital HES database for those cohort members who provided consent to health data linkage in the Age 17 sweep. The HES database contains information about all hospital admissions in England. The following linked HES data are available:

    1) Accident and Emergency (A&E)
    The A&E dataset details each attendance to an Accident and Emergency care facility in England, between 01-04-2007 and 31-03-2020 (inclusive). It includes major A&E departments, single specialty A&E departments, minor injury units and walk in centres in England.

    2) Admitted Patient Care (APC)
    The APC data summarises episodes of care for admitted patients, where the episode occurred between 01-04-2001and 31-03-2023 (inclusive).

    3) Critical Care (CC)
    The CC dataset covers records of critical care activity between 01-04-2008 and 31-03-2023 (inclusive).

    4) Out Patient (OP)
    The OP dataset lists the outpatient appointments between 01-04-2003 and 31-03-2023 (inclusive).

    5) Emergency Care Dataset (ECDS)
    The ECDS contains emergency care appointments from 01-04-2017 to 31-03-2023 (inclusive).

    6) Consent data
    The consents dataset describes consent to linkage, and is current at the time of

  7. Z

    Data Set from Holbein CE, Peugh J, Veldtman GR, Apers S, Luyckx K, Kovacs...

    • data.niaid.nih.gov
    Updated Oct 1, 2020
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    Cook SC (2020). Data Set from Holbein CE, Peugh J, Veldtman GR, Apers S, Luyckx K, Kovacs AH, Thomet C, Budts W, Enomoto J, Sluman MA, Lu CW, Jackson JL, Khairy P, Cook SC, Chidambarathanu S, Alday L, Eriksen K, Dellborg M, Berghammer M, Johansson B, Mackie AS, Menahem S, Caruana M, Soufi A, Fernandes SM, White K, Callus E, Kutty S, Moons P; APPROACH-IS consortium and the International Society for Adult Congenital Heart Disease (ISACHD). Health behaviours reported by adults with congenital heart disease across 15 countries. Eur J Prev Cardiol. 2020 Jul;27(10):1077-1087. doi: 10.1177/2047487319876231. Epub 2019 Sep 17. PMID: 31529991. [Dataset]. https://data.niaid.nih.gov/resources?id=ZENODO_4059711
    Explore at:
    Dataset updated
    Oct 1, 2020
    Dataset provided by
    Fernandes SM,
    Mackie AS,
    Holbein CE,
    Johansson B,
    Peugh J,
    Chidambarathanu S,
    Lu CW,
    Moons P
    Jackson JL
    Dellborg M,
    Alday L,
    Callus E,
    Khairy P,
    Kutty S,
    Thomet C
    ; APPROACH-IS consortium and the International Society for Adult Congenital Heart Disease (ISACHD)
    Cook SC
    Enomoto J,
    Apers S,
    Kovacs AH, .
    Soufi A,
    Caruana M,
    Sluman MA
    Budts W,
    Eriksen K,
    Veldtman GR,
    Berghammer M,
    White K,
    Menahem S,
    Luyckx K,
    Description

    Data Set from Holbein CE, Peugh J, Veldtman GR, Apers S, Luyckx K, Kovacs AH, Thomet C, Budts W, Enomoto J, Sluman MA, Lu CW, Jackson JL, Khairy P, Cook SC, Chidambarathanu S, Alday L, Eriksen K, Dellborg M, Berghammer M, Johansson B, Mackie AS, Menahem S, Caruana M, Soufi A, Fernandes SM, White K, Callus E, Kutty S, Moons P; APPROACH-IS consortium and the International Society for Adult Congenital Heart Disease (ISACHD). Health behaviours reported by adults with congenital heart disease across 15 countries. Eur J Prev Cardiol. 2020 Jul;27(10):1077-1087. doi: 10.1177/2047487319876231. Epub 2019 Sep 17. PMID: 31529991.

    This is the abstract:

    Background: Health behaviours are essential to maintain optimal health and reduce the risk of cardiovascular complications in adults with congenital heart disease. This study aimed to describe health behaviours in adults with congenital heart disease in 15 countries and to identify patient characteristics associated with optimal health behaviours in the international sample.

    Design: This was a cross-sectional observational study.

    Methods: Adults with congenital heart disease (n = 4028, median age = 32 years, interquartile range 25-42 years) completed self-report measures as part of the Assessment of Patterns of Patient-Reported Outcomes in Adults with Congenital Heart disease - International Study (APPROACH-IS). Participants reported on seven health behaviours using the Health Behaviors Scale-Congenital Heart Disease. Demographic and medical characteristics were assessed via medical chart review and self-report. Multivariate path analyses with inverse sampling weights were used to investigate study aims.

    Results: Health behaviour rates for the full sample were 10% binge drinking, 12% cigarette smoking, 6% recreational drug use, 72% annual dental visit, 69% twice daily tooth brushing, 27% daily dental flossing and 43% sport participation. Pairwise comparisons indicated that rates differed between countries. Rates of substance use behaviours were higher in younger, male participants. Optimal dental health behaviours were more common among older, female participants with higher educational attainment while sports participation was more frequent among participants who were younger, male, married, employed/students, with higher educational attainment, less complex anatomical defects and better functional status.

    Conclusions: Health behaviour rates vary by country. Predictors of health behaviours may reflect larger geographic trends. Our findings have implications for the development and implementation of programmes for the assessment and promotion of optimal health behaviours in adults with congenital heart disease.

  8. Millennium Cohort Study: NHS Patient Episode Database for Wales, Linked...

    • beta.ukdataservice.ac.uk
    • datacatalogue.cessda.eu
    Updated 2024
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    UCL Institute Of Education University College London (2024). Millennium Cohort Study: NHS Patient Episode Database for Wales, Linked Administrative Datasets: ICD-10 Codes in Continuous Spells, 2001-2012: Secure Access [Dataset]. http://doi.org/10.5255/ukda-sn-8302-1
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    Dataset updated
    2024
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    datacite
    Authors
    UCL Institute Of Education University College London
    Area covered
    Wales
    Description

    Background:
    The Millennium Cohort Study (MCS) is a large-scale, multi-purpose longitudinal dataset providing information about babies born at the beginning of the 21st century, their progress through life, and the families who are bringing them up, for the four countries of the United Kingdom. The original objectives of the first MCS survey, as laid down in the proposal to the Economic and Social Research Council (ESRC) in March 2000, were:

    • to chart the initial conditions of social, economic and health advantages and disadvantages facing children born at the start of the 21st century, capturing information that the research community of the future will require
    • to provide a basis for comparing patterns of development with the preceding cohorts (the National Child Development Study, held at the UK Data Archive under GN 33004, and the 1970 Birth Cohort Study, held under GN 33229)
    • to collect information on previously neglected topics, such as fathers' involvement in children's care and development
    • to focus on parents as the most immediate elements of the children's 'background', charting their experience as mothers and fathers of newborn babies in the year 2000, recording how they (and any other children in the family) adapted to the newcomer, and what their aspirations for her/his future may be
    • to emphasise intergenerational links including those back to the parents' own childhood
    • to investigate the wider social ecology of the family, including social networks, civic engagement and community facilities and services, splicing in geo-coded data when available
    Additional objectives subsequently included for MCS were:
    • to provide control cases for the national evaluation of Sure Start (a government programme intended to alleviate child poverty and social exclusion)
    • to provide samples of adequate size to analyse and compare the smaller countries of the United Kingdom, and include disadvantaged areas of England

    Further information about the MCS can be found on the Centre for Longitudinal Studies web pages.

    The content of MCS studies, including questions, topics and variables can be explored via the CLOSER Discovery website.

    The first sweep (MCS1) interviewed both mothers and (where resident) fathers (or father-figures) of infants included in the sample when the babies were nine months old, and the second sweep (MCS2) was carried out with the same respondents when the children were three years of age. The third sweep (MCS3) was conducted in 2006, when the children were aged five years old, the fourth sweep (MCS4) in 2008, when they were seven years old, the fifth sweep (MCS5) in 2012-2013, when they were eleven years old, the sixth sweep (MCS6) in 2015, when they were fourteen years old, and the seventh sweep (MCS7) in 2018, when they were seventeen years old.

    End User Licence versions of MCS studies:
    The End User Licence (EUL) versions of MCS1, MCS2, MCS3, MCS4, MCS5, MCS6 and MCS7 are held under UK Data Archive SNs 4683, 5350, 5795, 6411, 7464, 8156 and 8682 respectively. The longitudinal family file is held under SN 8172.

    Sub-sample studies:
    Some studies based on sub-samples of MCS have also been conducted, including a study of MCS respondent mothers who had received assisted fertility treatment, conducted in 2003 (see EUL SN 5559). Also, birth registration and maternity hospital episodes for the MCS respondents are held as a separate dataset (see EUL SN 5614).

    Release of Sweeps 1 to 4 to Long Format (Summer 2020)
    To support longitudinal research and make it easier to compare data from different time points, all data from across all sweeps is now in a consistent format. The update affects the data from sweeps 1 to 4 (from 9 months to 7 years), which are updated from the old/wide to a new/long format to match the format of data of sweeps 5 and 6 (age 11 and 14 sweeps). The old/wide formatted datasets contained one row per family with multiple variables for different respondents. The new/long formatted datasets contain one row per respondent (per parent or per cohort member) for each MCS family. Additional updates have been made to all sweeps to harmonise variable labels and enhance anonymisation.

    How to access genetic and/or bio-medical sample data from a range of longitudinal surveys:
    For information on how to access biomedical data from MCS that are not held at the UKDS, see the CLS Genetic data and biological samples webpage.

    Secure Access datasets:
    Secure Access versions of the MCS have more restrictive access conditions than versions available under the standard End User Licence or Special Licence (see 'Access data' tab above).

    Secure Access versions of the MCS include:
    • detailed sensitive variables not available under EUL. These have been grouped thematically and are held under SN 8753 (socio-economic, accommodation and occupational data), SN 8754 (self-reported health, behaviour and fertility), SN 8755 (demographics, language and religion) and SN 8756 (exact participation dates). These files replace previously available studies held under SNs 8456 and 8622-8627
    • detailed geographical identifier files which are grouped by sweep held under SN 7758 (MCS1), SN 7759 (MCS2), SN 7760 (MCS3), SN 7761 (MCS4), SN 7762 (MCS5 2001 Census Boundaries), SN 7763 (MCS5 2011 Census Boundaries), SN 8231 (MCS6 2001 Census Boundaries), SN 8232 (MCS6 2011 Census Boundaries), SN 8757 (MCS7), SN 8758 (MCS7 2001 Census Boundaries) and SN 8759 (MCS7 2011 Census Boundaries). These files replace previously available files grouped by geography SN 7049 (Ward level), SN 7050 (Lower Super Output Area level), and SN 7051 (Output Area level)
    • linked education administrative datasets for Key Stages 1, 2, 4 and 5 held under SN 8481 (England). This replaces previously available datasets for Key Stage 1 (SN 6862) and Key Stage 2 (SN 7712)
    • linked education administrative datasets for Key Stage 1 held under SN 7414 (Scotland)
    • linked education administrative dataset for Key Stages 1, 2, 3 and 4 under SN 9085 (Wales)
    • linked NHS Patient Episode Database for Wales (PEDW) for MCS1 – MCS5 held under SN 8302
    • linked Scottish Medical Records data held under SNs 8709, 8710, 8711, 8712, 8713 and 8714;
    • Banded Distances to English Grammar Schools for MCS5 held under SN 8394
    • linked Health Administrative Datasets (Hospital Episode Statistics) for England for years 2000-2019 held under SN 9030
    • linked Health Administrative Datasets (SAIL) for Wales held under SN 9310
    • linked Hospital of Birth data held under SN 5724.
    The linked education administrative datasets held under SNs 8481,7414 and 9085 may be ordered alongside the MCS detailed geographical identifier files only if sufficient justification is provided in the application.

    Researchers applying for access to the Secure Access MCS datasets should indicate on their ESRC Accredited Researcher application form the EUL dataset(s) that they also wish to access (selected from the MCS Series Access web page).


    The Millennium Cohort Study: NHS Patient Episode Database for Wales (PEDW), Linked Administrative Datasets: ICD-10 Codes in Continuous Spells, 2001-2012: Secure Access includes inpatient and day case data collected by NHS Wales, when cohort members were aged between 0-11 years old. This summary dataset contains derived variables for the number of hospitalisations in each age year, and the ICD-10 (10th revision of the International Statistical Classification of Diseases and Related Health Problems) chapter relevant to the diagnosis.

  9. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Statista (2024). Self-reported mental health status of Americans in 2023, by generation [Dataset]. https://www.statista.com/statistics/1452714/self-reported-mental-health-status-by-generation-in-the-us/
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Self-reported mental health status of Americans in 2023, by generation

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Dataset updated
Feb 27, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2023
Area covered
United States
Description

According to a survey conducted in the U.S. in 2023, ten percent of Gen Z respondents indicated that their mental health was 'poor', the highest across all generations. On the other hand, four in ten respondents from the baby boomer generation reported their mental health was excellent. This statistic illustrates the self-reported mental health status of Americans as of 2023

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