Household wealth, neighbourhood deprivation and frailty amongst middle-aged and older adults in England: a longitudinal analysis over 15 years (2002-2017).

BACKGROUND: frailty is a condition of reduced function and health due to ageing processes and is associated with a higher risk of falls, hospitalisation, disability and mortality. OBJECTIVE: to determine the relationship between household wealth and neighbourhood deprivation with frailty status, independently of demographic factors, educational attainment and health behaviours. DESIGN: population-based cohort study. SETTING: communities in England. SUBJECTS: in total 17,438 adults aged 50+ from the English Longitudinal Study of Ageing. METHODS: multilevel mixed-effects ordered logistic regression was used in this study. Frailty was measured using a frailty index. We defined small geographic areas (neighbourhoods) using English Lower layer Super Output Areas. Neighbourhood deprivation was measured by the English Index of Multiple Deprivation, grouped into quintiles. Health behaviours included in this study are smoking and frequency of alcohol consumption. RESULTS: the proportion of respondents who were prefrail and frail were 33.8% [95% confidence interval (CI) 33.0-34.6%] and 11.7 (11.1-12.2)%, respectively. Participants in the lowest wealth quintile and living in the most deprived neighbourhood quintile had 1.3 (95% CI = 1.2-1.3) and 2.2 (95% CI = 2.1-2.4) times higher odds of being prefrail and frail, respectively, than the wealthiest participants living in the least deprived neighbourhoods Living in more deprived neighbourhood and poorer wealth was associated with an increased risk of becoming frail. Those inequalities did not change over time. CONCLUSIONS: in this population-based sample, living in a deprived area or having low wealth was associated with frailty in middle-aged and older adults. This relationship was independent of the effects of individual demographic characteristics and health behaviours.

Genetic Variants Associated With Resilience in Human and Animal Studies.

Resilience is broadly defined as the ability to maintain or regain functioning in the face of adversity and is influenced by both environmental and genetic factors. The identification of specific genetic factors and their biological pathways underpinning resilient functioning can help in the identification of common key factors, but heterogeneities in the operationalisation of resilience have hampered advances. We conducted a systematic review of genetic variants associated with resilience to enable the identification of general resilience mechanisms. We adopted broad inclusion criteria for the definition of resilience to capture both human and animal model studies, which use a wide range of resilience definitions and measure very different outcomes. Analyzing 158 studies, we found 71 candidate genes associated with resilience. OPRM1 (Opioid receptor mu 1), NPY (neuropeptide Y), CACNA1C (calcium voltage-gated channel subunit alpha1 C), DCC (deleted in colorectal carcinoma), and FKBP5 (FKBP prolyl isomerase 5) had both animal and human variants associated with resilience, supporting the idea of shared biological pathways. Further, for OPRM1, OXTR (oxytocin receptor), CRHR1 (corticotropin-releasing hormone receptor 1), COMT (catechol-O-methyltransferase), BDNF (brain-derived neurotrophic factor), APOE (apolipoprotein E), and SLC6A4 (solute carrier family 6 member 4), the same allele was associated with resilience across divergent resilience definitions, which suggests these genes may therefore provide a starting point for further research examining commonality in resilience pathways.

The longitudinal relationship between loneliness, social isolation, and frailty in older adults in England: a prospective analysis.

BACKGROUND: It is estimated that about 10% of people aged 65 and older are frail. Loneliness and social isolation are linked to increased mortality and poorer functional capacity. We assessed trends in frailty status associated with loneliness and social isolation over 14 years in a representative sample of English older adults. METHODS: In this longitudinal study, we used data from the English Longitudinal Study of Ageing (ELSA), which was designed to recruit a representative sample of adults aged 50 years and older living in private households in England. We analysed Waves 2-8 (covering June, 2004, to June, 2017). Frailty was defined using the frailty index, analysed continuously and as pre-specified categories, to categorise individuals as being non-frail (≤0·08), pre-frail (>0·08 to <0·25), or frail (≥0·25 to 1·00). Loneliness was measured using the UCLA 3-item Loneliness Scale and social isolation was measured following a previous ELSA approach, and both sets of scores were categorised into low, medium, or high. Linear mixed methods and Cox proportional hazard modelling were used, adjusted for confounders. FINDINGS: The study sample consisted of 9171 participants at the baseline of Wave 2 (4083 male and 5088 female), with similar numbers in subsequent waves. In the fixed effect model, adjusted for marital status, age, gender, wealth, and smoking status, respondents with higher levels of loneliness had a higher frailty index score (ß coefficient 0·006, 95% CI 0·006 to 0·007; p<0·0001), as did those with a higher level of social isolation (ß 0·002, <0·001 to 0·002; p<0·0001). Increasing age was associated with an increased frailty index, adjusted for loneliness and social isolation independently. Compared with a low level of loneliness, there was a higher risk of developing frailty with medium loneliness (hazard ratio [HR] 1·57, 95% CI 1·49 to 1·65; p<0·0001) and high loneliness (HR 2·62, 2·49 to 2·76; p<0·0001). Compared with a low level of social isolation, there was a higher risk of developing frailty with medium social isolation (HR 1·12, 1·05 to 1·20; p<0·0001) and high social isolation (HR 1·32, 1·22 to 1·43; p<0·0001). INTERPRETATION: Both loneliness and social isolation increase the risk of developing frailty. Understanding these mechanisms might offer opportunities to attenuate this risk. FUNDING: None.

Intergenerational differences in beliefs about healthy eating among carers of left-behind children in rural China: A qualitative study.

China's internal migration has left 61 million rural children living apart from parents and usually being cared for by grandparents. This study aims to explore caregivers' beliefs about healthy eating for left-behind children (LBC) in rural China. Twenty-six children aged 6-12 (21 LBC and 5 non-LBC) and 32 caregivers (21 grandparents, 9 mothers, and 2 uncles/aunts) were recruited in one township in rural China. Children were encouraged to keep food diaries followed by in-depth interviews with caregivers. Distinct intergenerational differences in beliefs about healthy eating emerged: the grandparent generation was concerned about not having enough food and tended to emphasise the importance of starchy foods for children's growth, due to their past experiences during the Great Famine. On the other hand, the parent generation was concerned about food safety and paid more attention to protein-source foods including meat, eggs and milk. Parents appeared to offer children high-energy food, which was viewed as a sign of economic status, rather than as part of a balanced diet. Lack of remittances from migrant parents may compromise LBC's food choices. These findings suggest the potential for LBC left in the care of grandparents, especially with experience of the Great Famine, may be at greater risk of malnutrition than children cared for by parents. By gaining an in-depth understanding of intergenerational differences in healthy eating beliefs for children, our findings could inform for the development of nutrition-related policies and interventions for LBC in rural China.

Social relationships and health related behaviors among older US adults.

BACKGROUND: Health behaviors are a key determinant of health and well-being that are influenced by the nature of the social environment. This study examined associations between social relationships and health-related behaviors among a nationally representative sample of older people. METHODS: We analyzed data from three waves (1999-2004) of the US National Health and Nutrition Examination Survey (NHANES). Participants were 4,014 older Americans aged 60 and over. Log-binomial regression models estimated prevalence ratios (PR) for the associations between social relationships and each of the following health behaviors: alcohol use, smoking, physical activity and dental attendance. RESULTS: Health-compromising behaviors (smoking, heavy drinking and less frequent dental visits) were related to marital status, while physical activity, a health-promoting behavior, was associated with the size of friendship networks. Smoking was more common among divorced/separated (PR = 2.1; 95% CI: 1.6, 2.7) and widowed (PR = 1.7; 95% CI: 1.3, 2.3) respondents than among those married or cohabiting, after adjusting for socio-demographic background. Heavy drinking was 2.6 times more common among divorced/separated and 1.7 times more common among widowed men compared to married/cohabiting men, while there was no such association among women. For women, heavy drinking was associated with being single (PR = 1.7; 95% CI: 1.0, 2.9). Being widowed was related to a lower prevalence of having visited a dentist compared to being married or living with a partner (PR = 0.92; 95% CI 0.86, 0.99). Those with a larger circle of friends were more likely to be physically active (PR = 1.17; 95% CI:1.06, 1.28 for 5-8 versus less than 5 friends). CONCLUSIONS: Social relationships of older Americans were independently associated with different health-related behaviors, even after adjusting for demographic and socioeconomic determinants. Availability of emotional support did not however mediate these associations. More research is needed to assess if strengthening social relationships would have a significant impact on older people's health behaviors and ultimately improve their health.

Social relationships and oral health among adults aged 60 years or older.

OBJECTIVE: This study assessed associations between social relationships and oral health outcomes and whether these associations were explained by demographic, socioeconomic, and behavioral factors, and physical health. METHODS: We used the National Health and Nutrition Examination Survey (1999-2004) data on 4014 adults aged 60 years or older. Oral health outcomes were edentulism, number of decayed teeth, root decay, number of sound or filled teeth, and self-rated oral health. Social relationships referred to social networks (marital status, number of close friends) and social support (emotional support need, provision of financial support). Analyses consisted of regression models sequentially adjusting for demographic, socioeconomic, behavioral, and physical health confounders. RESULTS: In fully adjusted models, widowed or divorced/separated individuals had fewer sound or filled teeth than those married or living with a partner: rate ratio (95% confidence interval)=0.89 (0.82 to 0.97) and 0.90 (0.83 to 0.97), respectively. People with four to six close friends had fewer decayed teeth and lower probability for root decay than those with fewer friends. Emotional support need was associated with 1.41 (1.05 to 1.90) higher odds for root decay and 1.18 (1.04 to 1.35) higher odds for poorer self-rated oral health. Lack of financial support was associated with more decayed teeth. Edentulism was not related to any social network and social support markers. CONCLUSIONS: Social relationships are associated with clinical measures of current disease, markers of good oral function, and subjective oral health, but not with clinical measures of a lifetime history of oral disease among older Americans.

The relationship between social network, social support and periodontal disease among older Americans.

AIM: The objectives of this study were to examine the relationship between social network, social support and periodontal disease among older American adults and to test whether social network and support mediates socioeconomic inequality in periodontal disease. MATERIALS AND METHODS: Data pertaining to participants aged 60 years and over from the National Health and Nutrition Examination Survey 2001-2004 were used. Periodontal disease variables were extent loss of periodontal attachment ≥3 mm and moderate periodontitis. Social support and networks were indicated by the need for emotional support, number of close friends and marital status. RESULTS: Widowed and those with lowest number of friends had higher rates of the extent of loss of periodontal attachment (1.27, 95% CI: 1.03, 1.58) and (1.22, 95% CI: 1.03, 1.45), respectively. Marital status and number of friends were not significantly associated with moderate periodontitis after adjusting for behavioural factors. The need for more emotional support was not related to periodontal disease in this analysis. Social networks and support had no impact on socioeconomic inequality in periodontal disease. CONCLUSION: Certain aspects of social network, namely being widowed and having fewer friends, were linked to the extent of loss of periodontal attachment but not to the definition of moderate periodontitis, in older adults.

Physical activity behaviour and coronary heart disease mortality among South Asian people in the UK: an observational longitudinal study.

OBJECTIVE: The aim of this study was to investigate the contribution of physical inactivity to the excess mortality from coronary heart disease (CHD) observed in the UK South Asian population. DESIGN: An observational longitudinal study with follow-up mortality data from NHS registries. SETTING: Data from the Health Survey for England, 1999 and 2004. PARTICIPANTS: 13 293 White and 2120 South Asian participants aged ≥35 years consented to the mortality follow-up. MAIN OUTCOME MEASURES: Deaths from CHD. RESULTS: South Asian participants were more likely to be physically inactive than white participants (47.0% vs 28.1%). Deaths from CHD were more common in UK South Asian participants, particularly among Pakistani and Bangladeshi groups (HR 2.87, 95% CI 1.74 to 4.73), than in UK white participants, and South Asian people experienced an event at an age on average 10 years younger than white people. Physical inactivity explained >20% of the excess CHD mortality in the South Asian sample, even after adjustment for potential confounding variables (including socioeconomic position, smoking, diabetes and existing cardiovascular disease). CONCLUSIONS: Physical inactivity makes a significant contribution to the excess CHD mortality observed in the South Asian population in the UK. This highlights the importance of prioritising the promotion of physical activity in this high-risk population.

Identifying patterns in cortisol secretion in an older population. Findings from the Whitehall II study.

Alterations in the patterning of diurnal cortisol secretion are associated with poor health in clinical populations with 'flat' patterns a particular risk. Flatter patterns in cortisol secretion may reflect impaired negative feedback in the hypothalamic-pituitary-adrenal axis. The correlates of discrete clusters of patterns in the diurnal secretion of cortisol have not been well described in large community dwelling populations. We describe discrete clusters of patterns of cortisol secretion and examine the correlates of these patterns using a latent variable mixture modelling approach. Analyses use data from 2802 participants with complete information on cortisol secretion, age, walking/gait speed, stress, waking up time and sleep duration. Cortisol was assessed from six saliva samples collected at waking, waking plus 30 min, 2.5h, 8h, 12h and bedtime. We find two patterns ("curves") of diurnal cortisol secretion. These curves are described as 'normative' [prevalence 73%] and a 'raised' [27%] curve differentiated by a lower cortisol awakening response in the normative group, a higher diurnal cortisol and 'flatter' pattern of release in the raised group. Older age, being male, a smoker, stress on the day of sampling, slower walking speed and shorter sleep duration increased the odds of being in the raised curve, relative to the normative curve. In conclusion, two patterns of cortisol secretion occur in middle aged men and women. Raised pattern of secretion, which occurs in 27% of our participants is associated with demographic variables, adverse health behaviours, psychosocial environment and impaired physical functioning.

Social class differences in health behaviours among employees from Britain, Finland and Japan: the influence of psychosocial factors.

This study aims to examine social class differences in smoking, heavy drinking, unhealthy food habits, physical inactivity and obesity, and work-related psychosocial factors as explanations for these differences. This is done by comparing employee cohorts from Britain, Finland and Japan. Social class differences in health behaviours are found in the two western European countries, but not in Japan. The studied psychosocial factors related to work, work-family interface and social relationships did not explain the found class differences in health behaviours.

Measures of social position and cortisol secretion in an aging population: findings from the Whitehall II study.

OBJECTIVE: To examine whether dysregulation of the hypothalamic-pituitary-adrenal (HPA) axis associated with disadvantaged social position in working populations also occurs in older age groups. METHODS: This study examines the association of several indicators of social position with two measures of cortisol secretion, a product of the HPA axis. We examined the cortisol awakening response (CAR), and slope of the decline in cortisol secretion across the day. We examine whether the association is mediated by behavioral, psychosocial, and biological factors in 3992 participants of phase 7 (2002-2004) of the Whitehall II study, who provided six salivary cortisol samples across the day. RESULTS: In this older cohort (mean age = 61 years; range = 50-74 years), lowest social position (assessed by current or previous occupational grade and wealth) was associated with a flatter slope in the decline in cortisol secretion. For example, over the course of the day, men in the lowest employment grades had a reduction in their cortisol by 0.125 (nmol/L/h), which was a shallower slope than those in the high grades (-0.129 nmol/L/h). The difference in slopes by employment grade among men, but not women, was statistically significant (p = .003). The difference in slopes was explained primarily by poor health and sleep behaviors, although financial insecurity also played a role. No effects were apparent with the CAR or other measures of social position. CONCLUSIONS: In men, poorer health and sleep behaviors (primarily smoking and short sleep duration), and financial insecurity mediate the impact of occupational status and wealth on cortisol secretion.

Psychosocial stress at work doubles the risk of type 2 diabetes in middle-aged women: evidence from the Whitehall II study.

OBJECTIVE: To investigate the effect of psychosocial stress at work on risk of type 2 diabetes, adjusting for conventional risk factors, among a sample of British, white-collar, middle-aged men and women. RESEARCH DESIGN AND METHODS: This was a prospective analysis (1991-2004) from the Whitehall II cohort study. The current sample consists of 5,895 Caucasian middle-aged civil servants free from diabetes at baseline. Type 2 diabetes was ascertained by an oral glucose tolerance test supplemented by self-reports at baseline and four consecutive waves of data collection including two screening phases. The job strain and iso-strain models were used to assess psychosocial work stress. RESULTS: Iso-strain in the workplace was associated with a twofold higher risk of type 2 diabetes in age-adjusted analysis in women but not in men (hazard ratio 1.94 [95% CI 1.17-3.21). This effect remained robust to adjustment for socioeconomic position and outside work stressors and was only attenuated by 20% after adjustment for health behaviors, obesity, and other type 2 diabetes risk factors. CONCLUSIONS: Psychosocial work stress was an independent predictor of type 2 diabetes among women after a 15-year follow-up. This association was not explained by potential confounding and mediating factors. More evidence from prospective studies using the same work stress models is needed to support the current findings and provide further information on sex differences.

Best-practice interventions to reduce socioeconomic inequalities of coronary heart disease mortality in UK: a prospective occupational cohort study.

BACKGROUND: How much the successful implementation of the most effective (ie, best-practice) interventions could reduce socioeconomic inequalities of coronary heart disease mortality is not known. We assessed this issue in an occupational cohort study comparing low with high socioeconomic groups. METHODS: We undertook a prospective cohort study on 17 186 male civil servants aged 40-69 years between 1967 and 1970 in the UK (the Whitehall study). Socioeconomic position was based on employment grade. We compared the potential reduction in excess coronary heart disease mortality in men of low with those of high socioeconomic position with either best-practice interventions (reduction of systolic blood pressure by 10 mm Hg, of total cholesterol by 2 mmol/L, and of blood glucose by 1 mmol/L in pre-diabetic people; halving the prevalence of non-insulin-dependent diabetes; and complete cessation of cigarette smoking) or primordial prevention. FINDINGS: 15-year absolute risk of death due to coronary heart disease per 100 men, standardised to age 55 years, was 11.0 for men in the low employment grade group and 7.5 for those in the high grade group. Population-wide best-practice interventions would reduce coronary heart disease mortality by 57%, and the difference in mortality between socioeconomic groups by 69%. For primordial prevention, the corresponding reductions would be 73% and 86%, respectively. INTERPRETATION: Our results suggest that current best-practice interventions to reduce classic coronary risk factors, if successfully implemented in both high and low socioeconomic groups, could eliminate most of the socioeconomic differences in coronary heart disease mortality. Modest further benefits would result if the classic coronary risk factors could be reduced to primordial levels for the whole population.

Negative aspects of close relationships and heart disease.

BACKGROUND: The aims of the study were to (1) analyze the association between negative aspects of close relationships and increased risk for coronary heart disease and (2) examine whether the association is stronger among women and people of lower social position. METHODS: Prospective cohort study of 9011 British civil servants (6114 men and 2897 women). Negative aspects of close relationships and other social support measures (confiding/emotional and practical) were assessed with the Close Persons Questionnaire during phase 2 (1989-1990) or phase 1 (1985-1988). Associations between negative aspects of close relationships and incident coronary events were determined during an average follow-up period of 12.2 years. Covariates included sociodemographic characteristics (age, sex, marital status, and employment grade), biological factors (obesity, hypertension, diabetes mellitus, and cholesterol level), psychosocial factors (negative affectivity, depression, and work stress), and health behaviors (smoking, alcohol intake, exercise, and fruit and vegetable consumption). RESULTS: After adjustment for sociodemographic characteristics, biological factors, and other dimensions of social support, individuals who experienced negative aspects of close relationships had a higher risk of incident coronary events (hazard ratio, 1.34; 95% confidence interval, 1.10-1.63). The association was attenuated but remained statistically significant after additional adjustment for negative affectivity and depression (hazard ratio, 1.25; 95% confidence interval, 1.02-1.55). Although women and men in a lower employment grade were more likely to be exposed to negative aspects of close relationships, sex and social position had no statistically significant interaction effects. Confiding/emotional and practical support were not associated with incident coronary events. CONCLUSION: Adverse close relationships may increase the risk of heart disease.

Unfairness and health: evidence from the Whitehall II Study.

OBJECTIVE: To examine the effects of unfairness on incident coronary events and health functioning. DESIGN: Prospective cohort study. Unfairness, sociodemographics, established coronary risk factors (high serum cholesterol, hypertension, obesity, exercise, smoking and alcohol consumption) and other psychosocial work characteristics (job strain, effort-reward imbalance and organisational justice) were measured at baseline. Associations between unfairness and incident coronary events and health functioning were determined over an average follow-up of 10.9 years. PARTICIPANTS: 5726 men and 2572 women from 20 civil service departments in London (the Whitehall II Study). MAIN OUTCOME MEASURES: Incident fatal coronary heart disease, non-fatal myocardial infarction and angina (528 events) and health functioning. RESULTS: Low employment grade is strongly associated with unfairness. Participants reporting higher levels of unfairness are more likely to experience an incident coronary event (HR 1.55, 95% CI 1.11 to 2.17), after adjustment for age, gender, employment grade, established coronary risk factors and other work-related psychosocial characteristics. Unfairness is also associated with poor physical (OR 1.46, 95% CI 1.20 to 1.77) and mental (OR 1.54, 95% CI 1.19 to 1.99) functioning at follow-up, controlling for all other factors and health functioning at baseline. CONCLUSIONS: Unfairness is an independent predictor of increased coronary events and impaired health functioning. Further research is needed to disentangle the effects of unfairness from other psychosocial constructs and to investigate the societal, relational and biological mechanisms that may underlie its associations with health and heart disease.

Prospective effect of job strain on general and central obesity in the Whitehall II Study.

Positive energy balance is the major cause of obesity, and chronic stress may be a contributory factor. The authors examined cumulative work stress, using the Job Strain Questionnaire on four occasions, as a predictor of obesity in a prospective 19-year study of 6,895 men and 3,413 women (aged 35-55 years) in the Whitehall II cohort in London, United Kingdom (baseline: 1985-1988). A dose-response relation was found between work stress and risk of general obesity (body mass index > or =30 kg/m(2)) and central obesity (waist circumference >102 cm in men, >88 cm in women) that was largely independent of covariates. The imputed odds ratios of body mass index obesity for one, two, and three or more reports of work stress adjusted for age, sex, and social position were 1.17, 1.24, and 1.73 (trend p < 0.01), respectively. For waist obesity, the corresponding findings were 1.17, 1.41, and 1.61 (trend p < 0.01). Work stress effect was modestly attenuated after exclusion of obese individuals at baseline and further adjustments for smoking; intakes of dietary fiber, fruits and vegetables, and alcohol; and levels of physical activity during follow-up. This study provides prospective, population-based evidence that chronic work stress predicts general and central obesity.

Who you live with and where you live: setting the context for health using multiple membership multilevel models.

STUDY OBJECTIVE: Previous studies into the effect of area of residence on individuals' health have not accounted for changing residency over time, although few people remain resident in the same area throughout their life. Furthermore, few studies of area effects on health have accounted for the clustering of health at the household level. These methodological problems may have led previous studies to under estimate or over estimate the size of area level effects. This study uses multiple membership multilevel models to investigate whether longitudinal analyses of area effects on health need to take account of clustering at the household level. SETTING AND PARTICIPANTS: A longitudinal survey (1991-1999) of a nationally representative sample of British households (5511 households with 10 264 adult members). DESIGN: Two level (individuals within households or areas) and three level (individuals within households within areas) multiple membership models of SF-36 physical and mental health functioning scores at wave nine were analysed adjusting for age, gender, education, marital, employment, and smoking status from previous waves. RESULTS: Physical and mental health functioning seem to cluster within households. Accounting for changes in household membership over time increases estimates of the clustering in functioning at the household level. The clustering of functioning within area wards is reduced when the clustering within households and risk factors for functioning are taken into account. CONCLUSIONS: Clustered sampling units within study designs should be taken account of in individual level analyses. Changes in these units over time should be accounted for in longitudinal analysis.

Socio-demographic predictors of quitting smoking: how important are household factors?

AIMS: To compare different socio-demographic predictors of quitting smoking in a cohort representative of adult smokers in the British population using appropriate models that take into account the clustering of smoking behaviours at the household and area levels. DESIGN: A longitudinal, population representative survey of British adults (the British Household Panel Survey, BHPS) from 1991 to 2000. SETTING AND PARTICIPANTS: At wave 1 of the BHPS, 10264 adults living in 5511 households were interviewed. Around 30% of the wave 1 respondents reported smoking cigarettes. Of these, 21% had quit smoking over a 10-year period. MEASUREMENTS: 'Quitters' (quitting smoking) were defined as smokers who had subsequently described themselves as non-smokers for at least 2 consecutive waves (years) of the BHPS. Degree of dependence was indexed using the number of cigarettes currently smoked per day. FINDINGS: Degree of dependence was the strongest predictor of quitting smoking, followed by occupational social class, social support, marital status and the proportion of smokers in the household. There was some evidence of clustering of quitting smoking behaviour within households-members of the same household had similar quitting smoking behaviours. This clustering at the household level appeared to be explained by mechanisms related to the household level. However, there was little evidence for clustering of smoking behaviour within areas. CONCLUSIONS: In addition to reducing addiction to cigarettes, policies designed to encourage smokers to quit may need to take into account factors related to household support and employment relations, in order to encourage smokers from all socio-demographic groups to quit