Binge-pattern alcohol consumption and genetic risk as determinants of alcohol-related liver disease.

Alcohol-related liver disease (ARLD) represents a major public health burden. Identification of high-risk individuals would allow efficient targeting of public health interventions. Here, we show significant interactions between pattern of drinking, genetic predisposition (polygenic risk score, PRS) and diabetes mellitus, and risk of incident ARLD, in 312,599 actively drinking adults in UK Biobank. Binge and heavy binge drinking significantly increase the risk of alcohol-related cirrhosis (ARC), with higher genetic predisposition further amplifying the risk. Further, we demonstrate a pronounced interaction between heavy binge drinking and high PRS, resulting in a relative excess risk due to interaction (RERI) of 6.07. Diabetes consistently elevates ARC risk across all drinking and PRS categories, and showed significant interaction with both binge patterns and genetic risk. Overall, we demonstrate synergistic effects of binge drinking, genetics, and diabetes on ARC, with potential to identify high-risk individuals for targeted interventions.

Ethnic differences in multimorbidity after accounting for social-economic factors, findings from The Health Survey for England.

BACKGROUND: Social-economic factors and health behaviours may be driving variation in ethnic health inequalities in multimorbidity including among distinct ethnic groups. METHODS: Using the cross-sectional nationally representative Health Surveys for England 2011-18 (N = 54 438, aged 16+), we performed multivariable logistic regression on the odds of having general multimorbidity (≥2 longstanding conditions) by ethnicity [British White (reference group), White Irish, Other White, Indian, Pakistani, Bangladeshi, Chinese, African, Caribbean, White mixed, Other Mixed], adjusting for age, sex, education, area deprivation, obesity, smoking status and survey year. This was repeated for cardiovascular multimorbidity (N = 37 148, aged 40+: having ≥2 of the following: self-reported diabetes, hypertension, heart attack or stroke) and multiple cardiometabolic risk biomarkers (HbA1c ≥6.5%, raised blood pressure, total cholesterol ≥5mmol/L). RESULTS: Twenty percent of adults had general multimorbidity. In fully adjusted models, compared with the White British majority, Other White [odds ratio (OR) = 0.63; 95% confidence interval (CI) 0.53-0.74], Chinese (OR = 0.58, 95% CI 0.36-0.93) and African adults (OR = 0.54, 95% CI 0.42-0.69), had lower odds of general multimorbidity. Among adults aged 40+, Pakistani (OR = 1.27, 95% CI 0.97-1.66; P = 0.080) and Bangladeshi (OR = 1.75, 95% CI 1.16-2.65) had increased odds, and African adults had decreased odds (OR = 0.63, 95% CI 0.47-0.83) of general multimorbidity. Risk of cardiovascular multimorbidity was higher among Indian (OR = 3.31, 95% CI 2.56-4.28), Pakistani (OR = 3.48, 95% CI 2.52-4.80), Bangladeshi (OR = 3.67, 95% CI 1.98-6.78), African (OR = 1.61, 95% CI 1.05-2.47), Caribbean (OR = 2.18, 95% CI 1.59-2.99) and White mixed (OR = 1.98, 95% CI 1.14-3.44) adults. Indian adults were also at risk of having multiple cardiometabolic risk biomarkers. CONCLUSION: Ethnic inequalities in multimorbidity are independent of social-economic factors. Ethnic minority groups are particularly at risk of cardiovascular multimorbidity, which may be exacerbated by poorer management of cardiometabolic risk requiring further investigation.

Does the use of prediction equations to correct self-reported height and weight improve obesity prevalence estimates? A pooled cross-sectional analysis of Health Survey for England data.

OBJECTIVE: Adults typically overestimate height and underestimate weight compared with directly measured values, and such misreporting varies by sociodemographic and health-related factors. Using self-reported and interviewer-measured height and weight, collected from the same participants, we aimed to develop a set of prediction equations to correct bias in self-reported height and weight and assess whether this adjustment improved the accuracy of obesity prevalence estimates relative to those based only on self-report. DESIGN: Population-based cross-sectional study. PARTICIPANTS: 38 940 participants aged 16+ (Health Survey for England 2011-2016) with non-missing self-reported and interviewer-measured height and weight. MAIN OUTCOME MEASURES: Comparisons between self-reported, interviewer-measured (gold standard) and corrected (based on prediction equations) body mass index (BMI: kg/m2) including (1) difference between means and obesity prevalence and (2) measures of agreement for BMI classification. RESULTS: On average, men overestimated height more than women (1.6 cm and 1.0 cm, respectively; p<0.001), while women underestimated weight more than men (2.1 kg and 1.5 kg, respectively; p<0.001). Underestimation of BMI was slightly larger for women than for men (1.1 kg/m2 and 1.0 kg/m2, respectively; p<0.001). Obesity prevalence based on BMI from self-report was 6.8 and 6.0 percentage points (pp) lower than that estimated using measured BMI for men and women, respectively. Corrected BMI (based on models containing all significant predictors of misreporting of height and weight) lowered underestimation of obesity to 0.8pp in both sexes and improved the sensitivity of obesity over self-reported BMI by 15.0pp for men and 12.2pp for women. Results based on simpler models using age alone as a predictor of misreporting were similar. CONCLUSIONS: Compared with self-reported data, applying prediction equations improved the accuracy of obesity prevalence estimates and increased sensitivity of being classified as obese. Including additional sociodemographic variables did not improve obesity classification enough to justify the added complexity of including them in prediction equations.

Associations between social media usage and alcohol use among youths and young adults: findings from Understanding Society.

BACKGROUND AND AIMS: Given the decline in alcohol consumption and rise in technological use among young people, there is a need to investigate whether technology use might influence how young people drink. This study explores how social media use and changes in social media use over time could affect alcohol use among youths. DESIGN: The UK Household Longitudinal Study (Understanding Society). SETTING: United Kingdom. PARTICIPANTS: Participants aged 10-15 (n = 4093) and 16-19 (n = 2689) from the youth and main survey interviewed in 2011-13, and followed-up in 2014-16 (aged 10-15 n = 2588, aged 16-19 n = 1057). MEASUREMENTS: Self-reported social media usage on an average day (no profile/non-daily/less than an hour/1-3/4+ hours use), drinking frequency (never/one to three times/weekly) and binge drinking frequency (never/one to two/three/more than three times) in the past month. Covariates included sex, age, educational status, household income, urban/rural, number of friends and life satisfaction. FINDINGS: Among 10-15-year-olds, compared with those who used social media for less than an hour, those with no profile [odds ratio (OR) = 0.41, 95% confidence interval (CI) = 0.25-0.67] and non-daily users (OR = 0.49, 95% CI = 0.33-0.72) had a lower risk of drinking at least monthly, whereas those with 1-3 hours' use (OR = 1.44, 95% CI = 1.14-1.81) and 4+ hours' use (OR = 2.08, 1.47-2.95) had a greater risk. Among participants aged 16-19, a lower risk of binge drinking three or more times per month was found for those with no profile [relative risk ratios (RRR) = 0.29, 95% CI = 0.17-0.48] and a higher risk for those with 4+ hours' use (RRR = 1.47, 95% CI = 1.03-2.09). Longitudinally, among 10-15-year-olds, those who had increased their social media usage versus no change were more likely to have increased their drinking frequency (OR = 1.89, 95% CI = 1.45-2.46). Some social media use at baseline (rather than none) was predictive of increased drink and binge drinking frequency over time among youths and young adults. CONCLUSIONS: Heavier social media use was associated with more frequent alcohol consumption among young people in the United Kingdom.

The silent epidemic of obesity in The Gambia: evidence from a nationwide, population-based, cross-sectional health examination survey.

OBJECTIVES: Non-communicable diseases account for 70% of global deaths; 80% occur in low-income and middle-income countries. The rapid increase of obesity in sub-Saharan Africa is a concern. We assessed generalised and abdominal obesity and their associated risk factors among adults in The Gambia. DESIGN: Nationwide cross-sectional health examination survey using the WHO STEPwise survey methods. SETTING: The Gambia. PARTICIPANTS: This study uses secondary analysis of a 2010 nationally representative random sample of adults aged 25-64 years (78% response rate). The target sample size was 5280, and 4111 responded. Analysis was restricted to non-pregnant participants with valid weight and height measurements (n=3533). PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome variable was generalised obesity, using WHO body mass index (BMI) thresholds. Analyses used non-response weighting and adjusted for the complex survey design. We conducted multinomial logistic regression analysis to identify factors associated with BMI categories. The secondary outcome variable was abdominal obesity, defined as high waist circumference (using the International Diabetes Federation thresholds for Europeans). RESULTS: Two-fifths of adults were overweight/obese, with a higher obesity prevalence in women (17%, 95% CI 14.7 to 19.7; men 8%, 95% CI 6.0 to 11.0). 10% of men and 8% of women were underweight. Urban residence (adjusted relative risk ratio 5.8, 95% CI 2.4 to 14.5), higher education (2.3, 1.2 to 4.5), older age, ethnicity, and low fruit and vegetable intake (2.8, 1.1 to 6.8) were strongly associated with obesity among men. Urban residence (4.7, 2.7 to 8.2), higher education (2.6, 1.1 to 6.4), older age and ethnicity were associated with obesity in women. CONCLUSION: There is a high burden of overweight/obesity in The Gambia. While obesity rates in rural areas were lower than in urban areas, obesity prevalence was higher among rural residents in this study compared with previous findings. Preventive strategies should be directed at raising awareness, discouraging harmful beliefs on weight, and promoting healthy diets and physical activity.

A life-time of hazardous drinking and harm to health among older adults: findings from the Whitehall II prospective cohort study.

AIMS: To investigate associations of life-time hazardous and binge drinking with biomarkers of cardiometabolic health, liver function, cardiovascular disease (CVD) and mortality. DESIGN: Prospective cohort study with median follow-up time to CVD incidence of 4.5 years. SETTING: London, UK: civil servants within the Whitehall II Study. PARTICIPANTS: A total of 4820 drinkers aged 59-83 years with biological measurements during the 2011-12 survey. MEASUREMENTS: Hazardous drinking was defined as having an AUDIT-C score ≥ 5 calculated at each decade of life, forming the following groups: never hazardous drinker, former early (stopping before age 50), former later (stopping after age 50), current hazardous drinker and consistent hazardous drinker (hazardous drinker at each decade of life). FINDINGS: More than half the sample had been hazardous drinkers at some point during their life-time, comprising former early (< age 50) (19%), former later (≥ age 50) (11%), current (21%) and consistent hazardous drinker (AUDIT-C ≥ 5 across life (5%). After adjusting for covariates, waist circumference was larger with more persistent hazardous drinking (e.g. compared with never hazardous drinkers, former early had increased waist circumference by 1.17 cm [95% confidence interval (CI) = 0.25-2.08]; former later by 1.88 cm (CI = 0.77-2.98); current by 2.44 cm (CI = 1.50-3.34) and consistent hazardous drinker by 3.85 cm (CI = 2.23-5.47). Current hazardous drinkers had higher systolic blood pressure (2.44 mmHg, CI = 1.19-3.68) and fatty liver index scores (4.05 mmHg, CI = 2.92-5.18) than never hazardous drinkers. Current hazardous drinkers [hazard ratio (HR) = 2.75, CI = 1.44-5.22) had an elevated risk of stroke, and former later hazardous drinkers had an elevated risk of non-CVD mortality (HR = 1.93, CI = 1.19-3.14) than never hazardous drinkers. Life-time binge drinking was associated with larger waist circumferences and poorer liver function compared with never binge drinkers. CONCLUSION: Hazardous drinking may increase cardiometabolic risk factors; this is made worse by persistent hazardous drinking throughout life, particularly in relation to weight gain, suggesting benefits of early intervention.

Exploring the characteristics of newly defined at-risk drinkers following the change to the UK low risk drinking guidelines: a retrospective analysis using Health Survey for England data.

BACKGROUND: Alcohol guidelines enable individuals to make informed choices about drinking and assist healthcare practitioners to identify and treat at-risk drinkers. The UK Low Risk Drinking Guidelines were revised in 2016 and the weekly guideline for men was reduced from 21 to 14 units per week. This study sought to retrospectively establish 1) the number of additional at-risk male drinkers in England, 2) which demographic characteristics were associated with being an at-risk drinker under the previous versus new guidelines. METHODS: Average weekly alcohol consumption for men aged 16+ from the cross-sectional nationally representative Health Survey for England were used to 1) calculate annual population prevalence estimates for newly defined at-risk (> 14 to ≤21 units/week) male drinkers from 2011 to 2015 (N = 3487-3790), and 2) conduct logistic regression analyses for at-risk vs low risk male drinkers under the previous (> 21 vs ≤21 units/week) and new (> 14 vs ≤14 units/week) guidelines to assess characteristics associated with being at-risk drinkers under each guideline using 2015 data (N = 2982). RESULTS: Population prevalence estimates of newly defined at-risk drinkers ranged from 10.2% (2014 = 2,182,401 men)-11.2% (2011 = 2,322,896 men). Under the new guidelines, men aged 55-74 (OR = 1.63,95% CI = 1.25-2.12); men in managerial/professional occupations (OR = 1.64,95% CI = 1.34-2.00); current smokers (OR = 2.26,95% CI = 1.73-2.94), ex-regular smokers (OR = 2.01,95% CI = 1.63-2.47) and ex-occasional smokers (OR = 1.85,95% CI = 1.25-2.74); men from the North East (OR = 2.08,95% CI = 1.38-3.13) and North West (OR = 1.91,95% CI = 1.41-2.60) of England all had greater odds, and non-white men had reduced odds (OR = 0.53,95% CI = 0.34-0.80) of being at-risk drinkers, as they had under the previous guidelines. Under the new guidelines only: a higher percentage of at-risk drinkers aged 16-34 (32% vs 19%) attenuated the odds of men aged 35-54 being at-risk (OR = 1.18,95% CI = 0.92-1.51); a higher percentage of married at-risk drinkers (37% vs 24%) attenuated the odds of single men being at-risk (OR = 1.28,95% CI = 0.99-1.67); men from the West Midlands (OR = 1.68,95% CI = 1.17-2.42) and London (OR = 1.53,95% CI = 1.03-2.28) had greater odds of being at-risk drinkers. CONCLUSIONS: The change to the Low Risk Drinking Guidelines would have resulted in more than 2 million additional male at-risk drinkers in England. Most groups with greater odds of being at-risk drinkers under the new guidelines were those already known to be drinking the most, strengthening the case for targeted screening and education. Additionally, under the new guidelines, a marked proportion of 16-35 year olds and married men were at-risk and men in the West Midlands and London had greater odds of being at-risk drinkers. These groups may benefit from specific education around the new Low Risk Drinking Guidelines.

Investigating the growing trend of non-drinking among young people; analysis of repeated cross-sectional surveys in England 2005-2015.

BACKGROUND: Non-drinking among young people has increased over the past decade in England, yet the underlying factor driving this change is unknown. Traditionally non-drinking has been found to be associated with lower socio-economic status and poorer health. This study explores among which sub-groups non-drinking has increased, and how this correlates with changes in drinking patterns, to identify whether behaviours are becoming more polarised, or reduction is widespread among young people. METHODS: Among participants aged 16 to 24 years (N = 9699), within the annual cross-sectional nationally-representative Health Survey for England 2005-2015 datasets, the following analyses were conducted: 1) The proportion of non-drinkers among social-demographic and health sub-groups by year, and tests for linear trends among sub-groups, adjusting for age were calculated. In pooled analyses, an interaction between year and each variable was modelled in sex- and age-adjusted logistic regression models on the odds of being a non-drinker versus drinker 2) At the population level, spearman correlation co-efficients were calculated between the proportion non-drinking and the mean alcohol units consumed and binge drinking on the heaviest drinking day, by year. Ordinary least squares regression analyses were used, modelling the proportion non-drinking as the independent variable, and the mean units/binge drinking as the dependent variable. RESULTS: Rates of non-drinking increased from 18% (95%CI 16-22%) in 2005 to 29% (25-33%) in 2015 (test for trend; p < 0.001), largely attributable to increases in lifetime abstention. Not drinking in the past week increased from 35% (32-39%) to 50% (45-55%) (p < 0.001). Significant linear increases in non-drinking were found among most sub-groups including healthier sub-groups (non-smokers, those with high physical activity and good mental health), white ethnicity, north and south regions, in full-time education, and employed. No significant increases in non-drinking were found among smokers, ethnic minorities and those with poor mental health. At the population-level, significant negative correlations were found between increases in non-drinking and declines in the mean units consumed (ρ = - 0.85, p < 0.001), and binge drinking (ρ = - 0.87, p < 0.001). CONCLUSION: Increases in non-drinking among young people has coincided with a delayed initiation into alcohol consumption, and are to be welcomed. Future research should explore attitudes towards drinking among young people.

Burden of hypertension in The Gambia: evidence from a national World Health Organization (WHO) STEP survey.

BACKGROUND: Non-communicable diseases are increasing in sub-Saharan Africa and are estimated to account for 32% of adult deaths in The Gambia. Worldwide, prevalence of hypertension is highest in the African region (46%) and a very high proportion is undiagnosed. This study examined diagnosed and undiagnosed hypertension in The Gambian adult population. METHODS: Data were collected in 2010 from a nationally representative random sample of 4111 adults aged 25-64 years, using the World Health Organization STEPwise cross-sectional survey methods. Analyses were restricted to non-pregnant participants with three valid blood pressure measurements (n = 3573). We conducted gender-stratified univariate and multivariate regression analyses to identify the strongest sociodemographic, behavioural and biological risk factors associated with hypertension. RESULTS: Almost one-third of adults were hypertensive; a high proportion were undiagnosed, particularly among men (86% of men vs 71% of women with hypertension, P < 0.001). Rural and semi-urban residents and overweight/obese persons had increased odds of hypertension. Compared with urban residents, participants from one of the most rural regions had higher odds of hypertension among both men [adjusted odds ratio (AOR) 3.2; 95% CI: 1.6-6.4] and women (AOR 2.5; 95% CI: 1.3-4.6). Other factors strongly associated with hypertension in multivariate analyses were age, smoking, physical inactivity and ethnicity. CONCLUSIONS: Rural and semi-urban residence were strongly associated with hypertension, contrary to what has been found in similar studies in sub-Saharan Africa. Intervention to reduce the burden of hypertension in The Gambia could be further targeted towards rural areas.

Evaluating and establishing national norms for mental wellbeing using the short Warwick-Edinburgh Mental Well-being Scale (SWEMWBS): findings from the Health Survey for England.

PURPOSE: The Warwick-Edinburgh Mental Well-being Scale (WEMWBS), 14 positively worded statements, is a validated instrument to measure mental wellbeing on a population level. Less is known about the population distribution of the shorter seven-item version (SWEMWBS) or its performance as an instrument to measure wellbeing. METHODS: Using the Health Survey for England 2010-2013 (n = 27,169 adults aged 16+, nationally representative of the population), age- and sex-specific norms were estimated using means and percentiles. Criterion validity was examined using: (1) Spearman correlations (ρ) for SWEMWBS with General Health Questionnaire (GHQ-12), happiness index, EQ-VAS (2) a multinomial logit model with SWEMWBS (low, medium and high wellbeing) as the outcome and demographic, social and health behaviours as explanatory variables. Relative validity was examined by comparing SWEMWBS with WEMWBS using: (1) Spearman correlations (continuous data), and (2) the weighted kappa statistic (categorical), within population subgroups. RESULTS: Mean (median) SWEMWBS was 23.7 (23.2) for men and 23.2 (23.2) for women (p = 0.100). Spearman correlations were moderately sized for the happiness index (ρ = 0.53, P < 0.001), GHQ-12 (ρ = -0.52, p < 0.001) and EQ-VAS (ρ = 0.40, p < 0.001). Participants consuming <1 portion of fruit and vegetables a day versus ≥5 (odds ratio = 1.43 95% Confidence Interval = (1.22-1.66)) and current smokers versus non-smokers (1.28 (1.15-1.41)) were more likely to have low vs medium wellbeing. Participants who binge drank versus non-drinkers were less likely to have high versus medium wellbeing (0.81 (0.71-0.92)). Spearman correlations between SWEMWBS and WEMWBS were above 0.95; weighted kappa statistics showed almost perfect agreement (0.79-0.85). CONCLUSION: SWEMWBS distinguishes mental wellbeing between subgroups, similarly to WEMWBS, but is less sensitive to gender differences.

The regional geography of alcohol consumption in England: Comparing drinking frequency and binge drinking.

Alcohol consumption frequency and volume are known to be related to health problems among drinkers. Most of the existing literature that analyses regional variation in drinking behaviour uses measures of consumption that relate only to volume, such as 'binge drinking'. This study compares the regional association of alcohol consumption using measures of drinking frequency (daily drinking) and volume (binge drinking) using a nationally representative sample of residents using the Health Survey for England, 2011-2013. Results suggest the presence of two differentiated drinking patterns with relevant policy implications. We find that people in northern regions are more likely to binge drink, whereas people in southern regions are more likely to drink on most days. Regression analysis shows that regional variation in binge drinking remains strong when taking into account individual and neighbourhood level controls. The findings provide support for regional targeting of interventions that aim to reduce the frequency as well as volume of drinking.

The Relationship Between Drinking Pattern, Social Capital, and Area-Deprivation: Findings From the Health Survey for England.

OBJECTIVE: The purpose of this study was to establish the relationships between heavy episodic and drinking frequency with area-deprivation and social capital in England. METHOD: Using the Health Survey for England 2002-2006, a nationally representative crosssectional survey (N = 54,422), multilevel logistic regression models with individuals nested within primary sampling units were carried out, stratified by sex, on (a) drinkers versus nondrinkers, (b) heavy episodic drinking versus drinking less (on the heaviest drinking day), and (c) fewer than 2 drink-free days versus at least 2 drink-free days. Key exposures were individual social capital variables (social trust, active civic participation, social support, neighborhood perception). Models adjusted for age, area-deprivation, economic activity, education, ethnicity, longstanding illness, marital status, and children in the household. RESULTS: Lack of social support (men: OR = 0.69, 95% CI [0.60, 0.79]; women: OR = 0.77, 95% CI [0.69, 0.86]) and no civic participation (men: OR = 0.75, 95% CI [0.67, 0.83]; women: OR = 0.73, 95% CI [0.68, 0.78]) decreased the odds of being a drinker versus a nondrinker. Among men, low social trust increased (OR = 1.16, 95% CI [1.04, 1.30]) and no civic participation decreased (OR = 0.81, 95% CI [0.74, 0.89]) the odds of heavy episodic drinking; among women, good overall neighborhood perception decreased the odds (OR = 0.91, 95% CI [0.86, 0.97]). Lack of social support (men: OR = 1.25, 95% CI [1.14, 1.36]; women: OR = 1.20, 95% CI [1.02, 1.40]) and no civic participation (men: OR = 1.25, 95% CI [1.14, 1.36]; women: OR = 1.37, 95% CI [1.25, 1.51]) increased the odds of having fewer than 2 drink-free days. Men and women living in the most deprived areas were less likely to drink, more likely to engage in heavy episodic drinking, and more likely to have at least 2 alcohol-free days, after social capital variables were adjusted for. CONCLUSIONS: Social capital is associated with drinking alcohol, and low forms is associated with heavy episodic and frequent drinking. Interventions to reduce heavy episodic consumption should be targeted at those with low social capital and those living in deprived areas where heavy drinking is normalized. Drink-free days recommended in guidelines could be further targeted at those lacking social support.

Comparison of the Physical Activity and Sedentary Behaviour Assessment Questionnaire and the Short-Form International Physical Activity Questionnaire: An Analysis of Health Survey for England Data.

BACKGROUND: The Physical Activity and Sedentary Behaviour Assessment Questionnaire (PASBAQ), used within the Health Survey for England (HSE) at 5-yearly intervals, is not included annually due to funding and interview-length constraints. Policy-makers and data-users are keen to consider shorter instruments such as the Short-form International Physical Activity Questionnaire (IPAQ) for the annual survey. Both questionnaires were administered in HSE 2012, enabling comparative assessment in a random sample of 1252 adults. METHODS: Relative agreement using prevalence-adjusted bias-adjusted Kappa (PABAK) statistics was estimated for: sufficient aerobic activity (moderate-to-vigorous physical activity [MVPA] ≥150 minutes/week); inactivity (MVPA<30 minutes/week); and excessive sitting (≥540 minutes/weekday). Cross-sectional associations with health outcomes were compared across tertiles of MVPA and tertiles of sitting time using logistic regression with tests for linear trend. RESULTS: Compared with PASBAQ data, IPAQ-assessed estimates of sufficient aerobic activity and inactivity were higher and lower, respectively; estimates of excessive sitting were higher. Demographic patterns in prevalence were similar. Agreement using PABAK statistics was fair-to-moderate for sufficient aerobic activity (0.32-0.49), moderate-to-substantial for inactivity (0.42-0.74), and moderate-to-substantial for excessive sitting (0.49-0.75). As with the PASBAQ, IPAQ-assessed MVPA and sitting each showed graded associations with mental well-being (women: P for trend = 0.003 and 0.004, respectively) and obesity (women: P for trend = 0.007 and 0.014, respectively). CONCLUSIONS: Capturing habitual physical activity and sedentary behaviour through brief questionnaires is complex. Differences in prevalence estimates can reflect differences in questionnaire structure and content rather than differences in reported behaviour. Treating all IPAQ-assessed walking as moderate-intensity contributed to the differences in prevalence estimates. PASBAQ data will be used for population surveillance every 4 to 5 years. The current version of the Short-form IPAQ was included in HSE 2013-14 to enable more frequent assessment of physical activity and sedentary behaviour; a modified version with different item-ordering and additional questions on walking-pace and effort was included in HSE 2015.

Social inequalities in prevalence of diagnosed and undiagnosed diabetes and impaired glucose regulation in participants in the Health Surveys for England series.

OBJECTIVES: To ascertain the extent of socioeconomic and health condition inequalities in people with diagnosed and undiagnosed diabetes and impaired glucose regulation (IGR) in random samples of the general population in England, as earlier diagnosis of diabetes and treatment of people with IGR can reduce adverse sequelae of diabetes. Various screening instruments were compared to identify IGR, in addition to undiagnosed diabetes. DESIGN: 5, annual cross-sectional health examination surveys; data adjusted for complex survey design. SETTING: Random selection of private homes across England, new sample annually 2009-2013. PARTICIPANTS: 5, nationally representative random samples of the general, free-living population: ≥ 1 adult interviewed in 24,254 of 36,889 eligible addresses selected. 18,399 adults had a valid glycated haemoglobin (HbA1c) measurement and answered the diabetes questions. MAIN OUTCOME MEASURES: Diagnosed diabetes, undiagnosed diabetes (HbA1c ≥ 48 mmol/mol), IGR (HbA1c 42-47 mmol/mol). RESULTS: Overall, 11% of the population had IGR, 2% undiagnosed and 6% diagnosed diabetes. Age-standardised prevalence was highest among Asian (19% (95% CI 16% to 23%), 3% (2% to 5%) and 12% (9% to 16%) respectively) and black participants (17% (13% to 21%), 2% (1% to 4%) and 14% (9% to 20%) respectively). These were also higher among people with lower income, less education, lower occupational class and greater deprivation. Education (OR 1.49 (95% CI 1.27 to 1.74) for no qualifications vs degree or higher) and income (1.35 (1.12 to 1.62) for lowest vs highest income quintile) remained significantly associated with IGR or undiagnosed diabetes on multivariate regression. The greatest odds of IGR or undiagnosed diabetes were with increasing age over 34 years (eg, OR 18.69 (11.53 to 30.28) aged 65-74 vs 16-24). Other significant associations were ethnic group (Asian (3.91 (3.02 to 5.05)), African-American (2.34 (1.62 to 3.38)) or 'other' (2.04 (1.07 to 3.88)) vs Caucasian); sex (OR 1.32(1.19 to 1.46) for men vs women); body mass index (3.54 (2.52 to 4.96) for morbidly obese vs not overweight); and waist circumference (2.00 (1.67 to 2.38) for very high vs low). CONCLUSIONS: Social inequalities in hyperglycaemia exist, additional to well-known demographic and anthropometric risk factors for diabetes and IGR.

Worsening of health and a cessation or reduction in alcohol consumption to special occasion drinking across three decades of the life course.

BACKGROUND: Ex-drinkers suffer from worse health than drinkers; however, whether a worsening of health is associated with a change in drinking status from early adulthood has not been previously investigated. We assess whether a worsening of health is associated with a cessation in consumption or reduction to special occasion drinking from early adulthood to middle age. METHODS: Multinomial logistic regression assessing whether a change in self-reported limiting longstanding illness (LLI) was associated with ceasing alcohol consumption, or a reduction to special occasion drinking compared with being a persistent drinker from age 23 in separate models at ages 33, 42, and 50. All models adjusted for sex, poor psychosocial health, education, marital status, and children in the household. Sample included participants from Great Britain followed longitudinally in the National Child Development Study from ages 23 to 33 (N = 5,529), 42 (N = 4,787), and 50 (N = 4,476). RESULTS: Developing an LLI from the previous wave was associated with ceasing alcohol consumption at ages 33 (odds ratio [ORs] = 2.71, 95% confidence interval [CI] = 1.16-4.93), 42 (OR = 2.44, 95% CI = 1.24-4.81), and 50 (OR = 3.33, 95% CI = 1.56-7.12) and a reduction to special occasion drinking at ages 42 (OR = 2.04, 95% CI = 1.40-2.99) and 50 (OR = 2.04, 95% CI = 1.18-3.53). Having a persistent LLI across 2 waves increased the odds of ceasing consumption at ages 42 (OR = 3.22, 95% CI = 1.06-9.77) and 50 (OR = 4.03, 95% CI = 1.72-9.44) and reducing consumption to special occasion drinking at ages 33 (OR = 3.27, 95% CI = 1.34-8.01) and 42 (OR = 2.25, 95% CI = 1.23-4.50). Persistent drinkers at older ages had the best overall health suffering less from previous poor health compared with those who reduced or ceased consumption at an earlier time point. CONCLUSIONS: Developing an LLI was associated with a cessation in alcohol consumption and a reduction in consumption to special occasion drinking from early adulthood. Persistent drinkers who drank at least till 50 were the healthiest overall. Health selection is likely to influence nondrinking across the life course.

Persistent long-standing illness and non-drinking over time, implications for the use of lifetime abstainers as a control group.

BACKGROUND: Non-drinkers are shown to have worse health than moderate drinkers in later life. We examine the preceding health status of non-drinkers in early adulthood, and secondly whether persistent poor health is associated with persistent non-drinking. METHODS: Using two prospective British birth cohort studies established in 1958 (National Child Development Study (NCDS)) and in 1970 (British Cohort Study (BCS)), participants who reported 'never' or 'never had an alcoholic drink' to drinking status questions in successive waves from 23 to 26 years in the NCDS/BCS were derived as 'lifetime abstainers'. Logistic regression on the odds of being a lifetime abstainer was carried out on changes in limiting long-standing illness (LLSI) in the NCDS and long-standing illness (LSI) in the BCS, adjusting for sex, education, poor psychosocial health, marital and parental status. RESULTS: Participants with an LLSI in consecutive waves since 23 years had 4.50 times the odds of someone who did not have an LLSI of being a lifetime abstainer at 33 years (95% CI 1.99 to 10.18) and 7.02 times the odds at 42 years (2.39 to 20.66) after adjusting for all factors. Similarly, in the BCS, having an LSI in consecutive waves resulted in higher odds of being a lifetime abstainer at 30 years (OR 2.80, 1.88 to 4.18) and 34 years (OR 3.33, 2.01 to 5.53). CONCLUSIONS: Persistent LSI was associated with remaining a non-drinker across adulthood. Studies comparing the health outcomes of moderate drinkers to lifetime abstainers that do not account for pre-existing poor health may overestimate the better health outcomes from moderate alcohol consumption.

Associations between self-reported illness and non-drinking in young adults.

AIMS: This study investigated associations between self-reported illness, social factors and health behaviours and non-drinking among young people aged 18-34 years. DESIGN: Logistic regression analysis of cross-sectional national survey data, collected from the Health Survey for England 2006 and 2008. Data were collected through face-to-face interviews and are self-reported. PARTICIPANTS AND SETTINGS: A total of 2826 male and 3618 females aged 18-34 years drawn from a nationally representative multi-stage stratified probability sampling design across England. MEASUREMENTS: Non-drinkers were based on those who reported 'no' to drinking alcohol currently. Exposure measures included self-reports of having a limiting long-standing illness, long-standing illness or self-reported poor health. We adjusted for ethnicity, income, education, general physical activity and other factors. FINDINGS: Having a limiting long-standing illness during early adulthood increased the odds of being a non-drinker 1.74 times for men (P < 0.01) and 1.45 times for women (P < 0.01). In both men and women belonging to the lowest income quintile or having no qualifications was associated with increased odds of being a non-drinker (P < 0.001), indicating that the social gradient in non-drinking begins at an early age. Men and women aged 18-34 years with the lowest activity levels were also more likely to be non-drinkers (P < 0.01). CONCLUSION: Young adults who have a limiting long-standing illness are more likely not to drink alcohol even after adjusting for a range of social and demographic measures. Studies on the putative health benefits of moderate alcohol consumption later in life need to take account of early life history.