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Lifestyle Data

Lifestyle Data. Agenda. The need for lifestyle data/current drivers LDPs LPSAs/LAAs Potential sources of lifestyle data Relevant current APHO projects Review of sources Child Obesity measurement Community Profiles Lifestyle Survey Toolkit. Lifestyle risk factors. Smoking

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Lifestyle Data

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  1. Lifestyle Data

  2. Agenda • The need for lifestyle data/current drivers • LDPs • LPSAs/LAAs • Potential sources of lifestyle data • Relevant current APHO projects • Review of sources • Child Obesity measurement • Community Profiles • Lifestyle Survey Toolkit

  3. Lifestyle risk factors • Smoking • Lack of physical activity • Unhealthy diet • Obesity • Excessive alcohol consumption/binge drinking • Drugs • Risky sexual behaviour • Not breastfeeding

  4. Why do we need lifestyle data? Needs Assessment • To identify adverse trends/future problems and/or ... • Compare local areas/pop. sub-groups in order to ... • Help PCTs/partners establish priorities and plan action Awareness raising/campaigning • To generate a local profile in order to ... • Lobby for resources • Help to communicate important public health messages and empower local people to take informed choices/action Measuring progress/performance • Outcome measures for services • Progress re LPSA/LAA targets and LDPs

  5. PCTs’ LDP reporting requirements • current: • Smoking status amongst the population aged 15 to 75 years • Number of people aged 15 to 75 years on a GP register, recorded as being a smoker in the last 15 months. • Number of people aged 15 to 75 years on a GP register, with a smoking status recorded in the last 15 months. • Obesity Status amongst the GP registered population aged 15 to 75 years • Number of people aged 15 to 75 years on GP register, recorded as having a BMI of 30 or greater in the last 15 months • Number of people aged 15 to 75 years on GP register, with a BMI recorded in the last 15 months. • future: • child obesity prevalence • ?further alignment with Choosing Health

  6. LPSA/LAA reporting requirements • LAA roll out • new LAA guidance • current examples • Nottingham • Derby • outcomes framework • reward element • the role of GOEM and EMPHO

  7. Sources of Lifestyle Data

  8. Main National Surveys National surveys with health-related lifestyle content include: • Health Survey for England • General Household Survey • Psychiatric Morbidity Survey (drugs, alcohol) • ONS Omnibus Survey

  9. Main National Surveys (cont.) • Infant feeding survey • Food & expenditure survey • National diet & nutrition survey • National survey of sexual attitudes & lifestyles (NATSAL) • Drug use, smoking and drinking among young people in England in 2001

  10. Where to find national surveys ONS • http://www.statistics.gov.uk/ • http://www.statistics.gov.uk/lib2001/index.html Department of Health • http://www.dh.gov.uk/PublicationsAndStatistics/PublishedSurvey/fs/en • http://www.dh.gov.uk/PublicationsAndStatistics/PublishedSurvey/HealthSurveyForEngland/fs/en UK Data Archive • http://www.data-archive.ac.uk/

  11. Buying local “boosts” of national surveys • Some PCTs (Merseyside, Camden, Islington) have bought local boosts of the HSfE • At around £100 per person this can be very expensive to get a useful level of precision in prevalence estimates • Cost savings possible with cut-down interview and measurement schedules

  12. Generating local estimates based on national surveys • A quick way of providing a profile of the population when there is no “real” local data • Appropriate when local demography is similar to national demography

  13. DH/NatCen ward-level “synthetic estimates” • Dept of Health project • Using data from the Health Survey for England • Multivariate modelling to identify social and demographic predictors of smoking • Ward-level estimates based on known social and demographic characteristics of ward populations • Validated against local surveys in London and N.W. England • Publication date – July 29th 2005 • adult smoking • adult binge drinking • adult obesity • adult fruit and veg consumption • child fruit and veg consumption

  14. West Midlands Regional Lifestyle Survey 2005 West Midlands Public Health Observatory

  15. West Midlands Regional Survey 2005 • Coordinated by WMPHO. Delivered by BMG. • 56 funding partners including PCTs, LAs, GO, LSCs, Police • Sampling frame = Public Access Electoral Register • Self-completion questionnaire sent to 174,000 adults aged 18 and over • Overall response rate = 33.1% • The survey “ has fostered partnership working”

  16. A local health survey:1999 and 2002 Erewash Health Surveys

  17. Erewash Health Survey: Design • two age groups (25-34 & 65-74) • two samples compared: • a random sample of all residents • a random sample of residents of the most deprived areas (Sawley, Cotmanhay and Kirk Hallam ) • postal questionnaire

  18. Erewash Health Survey 1999: Response • People aged 25-34 • men representative 38% • women representative 59% • men deprived areas 33% • women deprived areas 50% • People aged 65-74 • men representative 82% • women representative 81% • men deprived areas 83% • women deprived areas 76%

  19. Lifestyle data from general practice • potential source for data on smoking and obesity ... but not (yet) other aspects of lifestyle • LDP reporting obligations - current focus is still data quality • QOF provides some financial incentives for improved data collection but scheme is essentially voluntary • unregistered and non-attenders (incl some vulnerable groups) not represented • QPID will provide summaries of prevalence at practice level but not (yet) for geographically defined populations • the source of the future??

  20. Lifestyle data from commercial market research organisations • e.g. CACI, Claritas, Experian, Acxiom • incl. smoking, expenditure on food and drink, obesity • large volumes of household survey and consumer data modelled to provide estimates for all areas of the country • methodologies obscure • expensive

  21. General Issues for Data Collection Systems • Validity: does the system measure what it aims to measure? • Reliability: • do questions produce reproducible answers? • inter-observer differences • recall of past events • Comparability ... e.g. vs neighbouring areas • Timeliness • Accuracy of data capture/data entry • Cost Particular Issues for “Censuses” • Completeness Particular Issues for Sample Surveys • Bias – is the sample representative of the target population? • Precision - is the sample size adequate?

  22. Horses for courses:different systems suit different purposes • Compare between localities • Track progress on LPSA/LAA targets and Local Delivery Plans (LDPs). • Outcome measures for services

  23. Relevant current APHO projects • Review of sources of lifestyle data • Child Obesity measurement (Task Force project) • Community Profiles (Task Force project) • Lifestyle Survey Toolkit

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