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14a. HEALTHY EATING ADULTS INDICATOR Upper Tier Local Authority

TABLE 1 – INDICATOR DESCRIPTION

Information component County Health Profiles: Pg 4 Health Summary – Indicator 14
Subject category / domain(s) The way we live
Indicator name (* Indicator title in health profile) Prevalence of adults who eat healthily (*Healthy eating adults)
PHO with lead responsibility SEPHO
Date of PHO dataset creation 15/12/2006
Indicator definition Prevalence of healthy eating, percentage of resident population, adults, 2000-2002, persons
Geography England, GOR, County.
Timeliness Updated annually.
Rationale:What this indicator purports to measure Prevalence of adult healthy eating, that is adults who consume 5 or more portions of fruit and vegetables per day
Rationale:Public Health Importance The indicator is a measure of a protective lifestyle factor.  A diet rich in fruit and vegetables confers protective effects against the development of heart disease and certain cancers.  It has been estimated that eating at least 5 portions of a variety of fruit and vegetables a day could reduce the risk of deaths from chronic diseases such as heart disease, stroke, and cancer by up to 20%.It has been estimated that diet might contribute to the development of one-third of all cancers, and that increasing fruit and vegetable consumption is the second most important cancer prevention strategy, after reducing smoking. In 1998, the Department of Health’s Committee on Medical Aspects of Food Policy and Nutrition reviewed the evidence and concluded that higher vegetable consumption would reduce the risk of colorectal cancer and gastric cancer. There was also weakly consistent evidence that higher fruit and vegetable consumption would reduce the risk of breast cancer. These cancers combined represent about 18% of the cancer burden in men and about 30% in women.Higher consumption of fruit and vegetables also reduces the risk of coronary heart disease and stroke. A recent study found that each increase of 1 portion of fruit and vegetables a day lowered the risk of coronary heart disease by 4% and the risk of stroke by 6%. Evidence also suggests an increase in fruit and vegetable intake can help lower blood pressure.  Research suggests that there are other health benefits, including delaying the development of cataracts, reducing the symptoms of asthma, improving bowel function, and helping to manage diabetes. As well as the direct health benefits, eating fruit and vegetables can help to achieve other dietary goals including increasing fibre intake, reducing fat intake, help maintain a healthy weight, and substituting for foods with added sugars (as frequent consumption of foods with added sugars can contribute to tooth decay).
Rationale: Purpose behind the inclusion of the indicator To estimate the proportion of adults who consume 5 or more portions of fruit and vegetables per day in local authorities.To help increase the prevalence of healthy eating and the health benefits associated with eating a healthy diet.
Rationale:Policy relevance Choosing Health:  Making healthy choices easier.http://www.dh.gov.uk/en/Publicationsandstatistics/ Publications/PublicationsPolicyAndGuidance/DH_4094550 Department of Health National 5 A Day programmehttp://www.dh.gov.uk/en/Policyandguidance/Healthandsocialcaretopics/FiveADay/ FiveADaygeneralinformation/index.htm. The NHS Planhttp://www.dh.gov.uk/en/Publicationsandstatistics/Publications/ PublicationsPolicyAndGuidance/DH_4002960. The NHS Cancer Planhttp://www.dh.gov.uk/en/Publicationsandstatistics/Publications/ PublicationsPolicyAndGuidance/DH_4009609. National Service Framework for Coronary Heart Disease http://www.dh.gov.uk/en/Publicationsandstatistics/ Publications/PublicationsPolicyAndGuidance/DH_4094275. National Service Framework for Diabeteshttp://www.dh.gov.uk/en/Policyandguidance/ Healthandsocialcaretopics/Diabetes/DH_4015717. National Service Framework for Older People http://www.dh.gov.uk/en/Publicationsandstatistics/ Publications/PublicationsPolicyAndGuidance/DH_4003066
Interpretation: What a high / low level of indicator value means A high indicator value (amber circle in health summary chart) represents a statistically significant higher level of adults who are estimated to consume 5 or more portions of fruit and vegetables per day when compared to the national value.A low indicator value (red circle in health summary chart) represents a statistically significant lower level of adults who are estimated to consume 5 or more portions of fruit and vegetables per day when compared to the national value.
Interpretation: Potential for error due to type of measurement method HSE numerator data are broadly based on observed self-reported daily consumption of fruit and vegetables. Self-reported consumption may be prone to respondent bias.  There may be variation in how informants defined and reported the amount of food consumed.  Although everyday measures were used to help informants to define how much they had consumed, this task may have been difficult for certain food items, such as fruit in composite foods like apple pie.There may also be a discrepancy between these estimates and the lower tier synthetic estimates (districts) which are based on modelled data.  This has lead to inconsistencies between lower tier and county estimates for some areas as the datasets are derived using different methods.
Interpretation: Potential for error due to bias and confounding The Health Survey for England under-samples younger people, people in employment, ethnic minorities, women, those who are healthier but exhibit less healthy behaviour.These data have not been age-standardised and, therefore, variation between area values may be a result of differences in population structure.
Confidence Intervals: Definition and purpose A confidence interval is a range of values that is normally used to describe the uncertainty around a point estimate of a quantity, for example, a mortality rate. This uncertainty arises as factors influencing the indicator are subject to chance occurrences that are inherent in the world around us. These occurrences result in random fluctuations in the indicator value between different areas and time periods. In the case of indicators based on a sample of the population, uncertainty also arises from random differences between the sample and the population itself.The stated value should therefore be considered as only an estimate of the true or ‘underlying’ value. Confidence intervals quantify the uncertainty in this estimate and, generally speaking, describe how much different the point estimate could have been if the underlying conditions stayed the same, but chance had led to a different set of data. The wider is the confidence interval the greater is the uncertainty in the estimate.Confidence intervals are given with a stated probability level. In Health Profiles 2007 this is 95%, and so we say that there is a 95% probability that the interval covers the true value. The use of 95% is arbitrary but is conventional practice in medicine and public health. The confidence intervals have also been used to make comparisons against the national value. For this purpose the national value has been treated as an exact reference value rather than as an estimate and, under these conditions, the interval can be used to test whether the value is statistically significantly different to the national. If the interval includes the national value, the difference is not statistically significant and the value is shown on the health summary chart with a white symbol. If the interval does not include the national value, the difference is statistically significant and the value is shown on the health summary chart with a red or amber symbol depending on whether it is worse or better than the national value respectively.

TABLE 2 – INDICATOR SPECIFICATION

Indicator definition: Variable Prevalence of healthy eating.Healthy eating is defined as those who consume 5 or more portions of fruit and vegetables per day.
Indicator definition: Statistic Percentage of resident adult population aged 16 and over
Indicator definition: Gender Persons
Indicator definition: age group Adults (aged 16 and over)
Indicator definition: period 2000-2002
Indicator definition: scale
Geography: geographies available for this indicator from other providers Strategic Health Authority http://www.dh.gov.uk/en/Publicationsandstatistics/ PublishedSurvey/HealthSurveyForEngland/index.htm
Dimensions of inequality: subgroup analyses of this dataset available from other providers Age, gender, ethnicity, social classhttp://www.dh.gov.uk/en/Publicationsandstatistics/ PublishedSurvey/HealthSurveyForEngland/index.htm
Data extraction: Source Health Surveys for England, National Centre for Social Research (NatCen).
Data extraction: source URL Data received directly from NatCen.
Data extraction: date February 2006
Numerator: definition Proportion of adults who reported consumption of 5 or more portions of fruit and vegetables per day at the time of the survey, 2000-2002. A portion of fruit or vegetables was defined as an 80g serving.
Numerator: source Health Survey for England (HSE, commissioned by the Department of Health and carried out by the Joint Health Survey Unit of Social and Community Planning Research and of the Department of Epidemiology and Public Health at University College, London.
Denominator: definition Total number of respondents (with valid record of consumption of fruit and vegetables on the day before the interview) aged 16+ in the Health Survey for England 2000-2002.
Denominator: source Health Survey for England (HSE) commissioned by the Department of Health and carried out by the Joint Health Survey Unit of Social and Community Planning Research and of the Department of Epidemiology and Public Health at University College, London.
Data quality: Accuracy and completeness The Health Survey for England was designed to provide data at both national and regional level about the population living in private households in England.   It uses a clustered, stratified multi-stage sample design. Each year, 720 postcode sectors were selected as the primary sampling units (PSUs). Before selection, postcode sectors are stratified in order to maximise the precision of the sample. Two stratification levels are used in the selection of PSUs. Postcode sectors are first sorted by Local/Unitary Authority, ensuring correct regional balance. Within each Local Authority, sectors are listed in order of the percentage of households with a head of household in a non-manual occupation.  Those living in institutions were not covered.  One of the effects of using this complex design is that standard errors for survey estimates are generally higher than the standard errors.The numerator and denominator counts used to estimate prevalence are based on a sample of the population in each area and, as such, are not true counts.  For this reason the numerator and denominator data are not shown in the data sheet.

TABLE 3 – INDICATOR TECHNICAL METHODS

Numerator: extraction Not Applicable
Numerator: aggregation /allocation Residency by local authority of each respondent is allocated by postcode of residency.
Numerator data caveats These data have not been age-standardised and, therefore, variation between area values may be a result of differences in population structure.The definition of portion size for pulses and very small fruits was changed in 2002, as studies of foods in these categories indicated that an 80g portion is larger than that defined in HSE 2001. It is likely that HSE 2001 overestimated the consumption of pulses and very small fruits. From 2002 onwards, a portion of pulses was defined as 3 tablespoons (rather than 2) and a portion of very small fruit as 2 handfuls (rather than 1).
Denominator data caveats The HSE is a series of annual surveys that began in 1991 with the aim of monitoring the health of the population. It was designed to be representative of the general, non-institutional population living in England. The current “full” sample size of the HSE comprises about 16,000 adults aged 16 and over. For each participant, the survey included an interview and a physical examination by a nurse, at which various physical measurements, tests, and samples of blood and saliva were collected. These measurements provided biomedical information about known risk factors associated with disease and objective validation for self-reported health behaviour.
Methods used to calculate indicator value Questions about fruit and vegetable consumption have been included in the Health Survey for England since 2001. The questions are interviewer administered as part of the Computer Assisted Personal Interview (CAPI). Questions are designed to assess fruit and vegetable consumption and focus on consumption on the day before the interview, which was defined as the 24 hours from midnight to midnight. This time period was selected to ensure that variations in informant work patterns and times of meals did not affect the average measure of daily consumption.Fruit and vegetable consumption is measured in portions per day, where a portion is defined as an 80g serving. A range of foods, including fruit, vegetables, pulses, salads and fruit juice contribute to the total number of portions consumed. Portion size was translated into everyday measures to help informants to report how much they had consumed. For example, informants were asked how many tablespoons of vegetables, cereal bowls of salad, or pieces of medium sized fruit (such as apples) they had consumed in the previous 24 hours. These everyday measures were converted back to portions prior to analysis. The table below shows portion sizes for the different food items included in the questionnaire.

Estimates are based on pooling together three consecutive years of Health Survey for England data (2000-2002). The general population sample size in 2000 and 2002 was about half the sample size in 2001 owing to the sampling of specific population groups – namely, elderly living in institutions (2000) and children and young adults (2002). To ensure that each year’s sample was given an approximately equal weight in the calculation of the 2000-2002 estimates, respondents in 2000 and 2002 were weighted up by two.

Small Populations: How Isles of Scilly and City of London populations have been dealt with Isles of Scilly are excluded from the dataset; City of London is included in the dataset.
Disclosure Control Not applicable.
Confidence Intervals calculation method The standard errors, and 95% confidence intervals, have been calculated using STATA’s survey module (the svy:mean commands), further details can be obtained from Shaun Scholes at NatCen (s.scholes@natcen.ac.uk).One of the effects of using a complex design is that standard errors for survey estimates are generally higher than the standard errors that would be derived from a simple random sample of the same size.

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