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Alcohol consumption is a common modifiable lifestyle factor. Alcohol may be a risk factor for frailty, however, there is limited evidence in the literature. The objectives of this study were to examine the association of alcohol consumption with the risk of incident frailty. This is a prospective panel study of 2544 community-dwelling people aged 60 years and older in England. Frailty status defined by frailty phenotype criteria was measured at baseline and 4 years later. Participants free of frailty at baseline were divided into 5 groups based on quantity of self-reported alcohol consumption per week with cut-points at 0, 7, 14, and 21 UK units per week. Adjusted odds ratios (OR) were calculated for incident frailty according to the alcohol consumption using logistic regression models. Compared with the low consumption group (>0 and ≤7 units per week), incident frailty risk over 4 years was significantly higher among nondrinkers [OR 1.71, 95% confidence interval (CI) 1.12‒2.60, P value =.01], after controlling for sociodemographic confounders. In a supplementary analysis this became nonsignificant after further adjustment for baseline health status. Heavy drinkers (>21 units per week) had a significantly lower incident frailty risk (unadjusted OR 0.45, 95% CI 0.27‒0.75, P <.01), which became nonsignificant on adjustment for sociodemographic factors (OR 0.64, 95% CI 0.37‒1.13, P =.12). We found that nondrinkers were more likely than those with low alcohol consumption to develop frailty, but this appeared to be explained by poorer baseline health status. No evidence was found for an association between high levels of alcohol consumption and becoming frail. Future studies with information on life-course history of alcohol use, especially for those classified as nondrinkers in old age, are warranted. [ABSTRACT FROM AUTHOR]

The importance of neighbourhood on individual health is widely documented. Less is known about the relative role of objective and subjective reports of neighbourhood conditions, how their effect on health changes as people age, and whether they moderate each other's impact on health. This study uses the English Longitudinal Study of Ageing (ELSA) to determine whether older adults report worse self-rated health as they age, and whether this differs between objective and subjective measures of neighbourhood. ELSA data contain 53,988 person-years across six waves collected biannually between 2002 and 03 and 2012 and 13. Objective neighbourhood conditions are measured by the 2004 Index of Multiple Deprivation, and subjective neighbourhood conditions are captured by a summative neighbourhood dissatisfaction score. We find both objective and subjective neighbourhood composite scores independently predict poor health. There is no change over time in the probability of reporting poor health by baseline objective or subjective neighbourhood scores, suggesting neighbourhood effects do not compound as older adults age. There is no moderating effect of area dissatisfaction on the relationship between neighbourhood deprivation and health. The findings provide little support for causal neighbourhood effects operating in later life and indicate different causal pathways through which objective and subjective neighbourhood deprivation impact on health. [ABSTRACT FROM AUTHOR]

Background: smoking is the single most preventable cause of morbidity and mortality. The evidence on independent associations between smoking in later life and incident frailty is scarce. Objectives: to examine the effect of current smoking in older people on the risk of developing frailty, controlling for important confounders. Methods: we used data of 2,542 community-dwelling older people aged ≥60 years in England. Participants were classified as current smokers or non-smokers. Frailty was defined using modified Fried criteria. Multivariable logistic regression models were used to examine risk of 4-year incident frailty in current smokers compared with non-smokers, adjusted for demographic, socioeconomic and health variables. Results: of 2,542 participants, 261 and 2,281 were current smokers and non-smokers, respectively. The current smokers were significantly frailer, younger, with lower BMI, less educated, less wealthy and lonelier compared with non-smokers at baseline. In multivariable logistic regression models adjusting for age and gender, current smokers were twice as likely to develop frailty compared with non-smokers (odds ratio (OR) = 2.07, 95% confidence interval (CI) = 1.39-3.39, P = 0.001). The association is attenuated largely by controlling for socioeconomic status. Smoking remains significantly associated with incident frailty in fully adjusted models including age, gender, socioeconomic status, alcohol use, cognitive function and loneliness (OR = 1.60, 95% CI = 1.02-2.51, P = 0.04). The relationship is however attenuated when taking account of non-response bias through multiple imputation. Conclusions: current smokers compared with non-smokers were significantly more likely to develop frailty over 4 years among community-dwelling older people. Given that smoking is a modifiable lifestyle factor, smoking cessation may potentially prevent or delay developing frailty, even in old age. [ABSTRACT FROM AUTHOR]

The instability of ethnicity measured in the national census is found to have doubled from the period 1991-2001 to the period 2001-2011, using the Longitudinal Study that links a sample of individuals' census records across time. From internal evidence and comparison with results from the Census Quality Survey and the Labour Force Survey, estimates are made of instability due to changing question wording, imputation of missing answers, proxy reporting, recording errors and changes in the allocation of write-in answers. Of the remaining instability, durable changes of ethnicity by individuals are thought to be considerably less common than changes due to a person's sense of identity not closely fitting the categories offered in the census question. The instability creates a net change in size of some ethnic groups that is usually small compared with the change in population between censuses from births, deaths and migration. Consequences for analysis of census aggregate and microdata are explored. [ABSTRACT FROM AUTHOR]

There are mixed findings on whether neighbourhood income inequality leads to better self-rated health (SRH) or not. This study considers two hypotheses: individuals living in more unequal neighbourhoods have better SRH and the level of neighbourhood income inequality and its impact on SRH is moderated by household and neighbourhood level income related variables. Data from Waves 8-10 of the UK Household Longitudinal Study for respondents living in England at wave 8 were used. Neighbourhood income inequality was measured using Gini coefficients of household income from the Pay As You Earn and benefits systems for Lower Super Output Areas. Longitudinal ordinal multilevel models predicted self-rated health in 2016-18, 2017-19 and 2019-20 by income inequality and its interaction with household income, neighbourhood median income and neighbourhood deprivation, conditional on individual educational attainment, age, sex, ethnic group, years lived in current residence, region of residence and study wave. There were 24,889 respondents analysed over three waves. SRH was worse for those living in more income equal neighbourhoods. There was no indication that neighbourhood inequality was moderated by household income, neighbourhood median income or neighbourhood deprivation. These findings are in line with the balance of existing evidence and support policy interventions that aim to create mixed communities for the purpose of improving population health. [ABSTRACT FROM AUTHOR]

Abstract: This paper considers whether the extent of inequality in house prices within neighbourhoods of England is associated with depressive symptoms in the older population using the English Longitudinal Study of Ageing. We consider two competing hypotheses: first, the wealth inequality hypothesis which proposes that neighbourhood inequality is harmful to health and, second, the mixed neighbourhood hypothesis which suggests that socially mixed neighbourhoods are beneficial for health outcomes. Our results are supportive of the mixed neighbourhood hypothesis, we find a significant association between neighbourhood inequality and depression with lower levels of depression amongst older people in neighbourhoods with greater house price inequality after controlling for individual socio-economic and area correlates of depression. The association between area inequality and depression is strongest for the poorest individuals, but also holds among the most affluent. Our results are in line with research that suggests there are social and health benefits associated with economically mixed communities. [Copyright &y& Elsevier]

This paper determines the association of neighbourhood ethnic density on adolescent mental health and its interplay with ethnic minority status and neighbourhood deprivation. 4145 cross-sectional responses to the 2009–2011 UK Household Longitudinal Study (UKHLS) youth self-completion questionnaire for youths aged 10–15 living in England were combined with household responses to the household UKHLS interview and 2011 Census data. Regression models were used to predict a Strengths and Difficulties Questionnaire (SDQ) score (range 0–40) with higher values indicating worse mental health. Ethnic density was operationalised using two distinct measures: co-ethnic density and diversity index. There was no difference in the mental health of ethnic minority youths by whether they lived in neighbourhoods of differing levels of ethnic density or neighbourhood deprivation. White British youths had poorer mental health when living in deprived neighbourhoods where their ethnic group was the vast majority. The difference compared to all other neighbourhoods was two points on the SDQ score. Interventions should seek to encourage adolescents living in white-working class neighbourhoods to explore ethnic diversity to determine whether it improves their mental health. • Youths in deprived neighbourhoods tend to live in ethnically diverse areas. • Youths living in less ethnically diverse neighbourhoods report poorer mental health. • White British youths report poor mental health in monoethnic, deprived neighbourhoods. [ABSTRACT FROM AUTHOR]