Neighbourhood disadvantage and smoking: Examining the role of neighbourhood-level psychosocial characteristics

A longitudinal analysis of the impact of the local tobacco retail availability and neighbourhood deprivation on male smoking behaviours in Shanghai, China

Some evidence from Western high-income countries suggests local tobacco retail availability and neighbourhood deprivation may influence smoking behaviours. However, this assertion has not been considered in China, where 44% of males continue to smoke. Data were analysed from Chinese males (n = 2054) who participated in Waves 3-5 (2009-2015) of the International Tobacco Control (ITC) China Survey by linking information on tobacco retail availability (estimated through population weighted Kernel Density of tobacco retailers in 2019) and neighbourhood deprivation (calculated as a composite score derived from the 2010 Chinese census) across Shanghai. Generalised Estimating Equation models were fitted to examine the impacts of local tobacco availability and neighbourhood deprivation on smoking behaviours (current smoking versus current non-smoking, quitting versus current smoking, longer durations of smoking abstinence versus current smoking) using the longitudinal data. Examining the impacts separately, participants living in neighbourhoods with greater availability and higher levels of deprivation were less likely to maintain longer durations of smoking abstinence in both unadjusted and adjusted models. Neighbourhood deprivation, but not availability, was found to be associated with higher odds of being a current smoker. Examining the impacts jointly, neighbourhood deprivation was still positively associated with current smoking and negatively associated with longer durations of smoking abstinence, but the negative association between availability and longer durations of smoking abstinence disappeared. The findings offer some evidence that greater tobacco retail availability and deprivation are obstacles on prolonged smoking cessation among males in Shanghai, China. Policymakers should consider small-area level place-based restrictions in China, such as reducing the availability of tobacco, as part of a comprehensive tobacco control strategy aimed at addressing the high prevalence of smoking.

Perinatal outcomes of socially disadvantaged women in Australia: A population-based retrospective cohort study

OBJECTIVE

To examine the perinatal outcomes of women who experience social disadvantage using population-based perinatal data collected between 1999 and 2016.

DESIGN

Population-based, retrospective cohort study.

SETTING

Victoria, Australia.

POPULATION OR SAMPLE

A total of 1 188 872 singleton births were included.

METHODS

Cohort study using routinely collected perinatal data. Multiple logistic regression was performed to determine associations between social disadvantage and adverse maternal and neonatal outcomes with confidence limits set at 99%. Time-trend analysis for perinatal outcomes was performed in relation to area-level disadvantage measures.

MAIN OUTCOME MEASURES

Incidence of maternal admission to intensive care unit (ICU), postpartum haemorrhage (PPH) and caesarean section, perinatal mortality, preterm birth, low birthweight (LBW), and admission to special care nursery/neonatal intensive care unit (SCN/NICU).

RESULTS

Social disadvantage was associated with higher odds of adverse perinatal outcomes. Disadvantaged women were more likely to be admitted to ICU, have a PPH or experience perinatal mortality (stillbirth or neonatal death) and their neonates were more likely to be admitted to SCN/NICU, be born preterm and be LBW. A persistent social gradient existed across time for the most disadvantaged women for all outcomes except caesarean section.

CONCLUSIONS

Social disadvantage has a marked negative impact on perinatal outcomes. This aligns with national and international evidence regarding the impact of disadvantage. Strategies that improve access to, and reduce fragmentation in, maternity care in addition to initiatives that address the social determinants of health may contribute to improving perinatal outcomes for socially disadvantaged women.

Mobile Health Tobacco Cessation Interventions to Promote Health Equity: Current Perspectives

Although US tobacco use trends show overall improvement, social disadvantage continues to drive significant disparities. Traditional tobacco cessation interventions and public policy initiatives have failed to equitably benefit socially-disadvantaged populations. Advancements in mobile digital technologies have created new opportunities to develop resource-efficient mobile health (mHealth) interventions that, relative to traditional approaches, have greater reach while still maintaining comparable or greater efficacy. Their potential for affordability, scalability, and efficiency gives mHealth tobacco cessation interventions potential as tools to help redress tobacco use disparities. We discuss our perspectives on the state of the science surrounding mHealth tobacco cessation interventions for use by socially-disadvantaged populations. In doing so, we outline existing models of health disparities and social determinants of health (SDOH) and discuss potential ways that mHealth interventions might be optimized to offset or address the impact of social determinants of tobacco use. Because smokers from socially-disadvantaged backgrounds face multi-level barriers that can dynamically heighten the risks of tobacco use, we discuss cutting-edge mHealth interventions that adapt dynamically based on context. We also consider complications and pitfalls that could emerge when designing, evaluating, and implementing mHealth tobacco cessation interventions for socially-disadvantaged populations. Altogether, this perspective article provides a conceptual foundation for optimizing mHealth tobacco cessation interventions for the socially-disadvantaged populations in greatest need.

Tobacco retailer density and smoking behavior in a rural Australian jurisdiction without a tobacco retailer licensing system

INTRODUCTION

An emerging body of research has developed around tobacco retailer density and its contribution to smoking behavior. This cross-sectional study aimed to determine the association between tobacco retailer density and smoking behavior in a rural Australian jurisdiction without a tobacco retailer licensing system in place.

METHODS

A local government database (updated 2018) of listed tobacco retailers (n=93) was accessed and potential unlisted tobacco retailers (n=230) were added using online searches. All retailers (n=323) were visited in 2019 and GPS coordinates of retailers that sold tobacco (n=125) were assigned to suburbs in ArcMap. A community survey conducted in the Local Government Area provided smoking and sociodemographic data amongst adult respondents (n=8981). Associations between tobacco retailer density (calculated as the number of retailers per km² based on respondents’ suburb of residence) and daily, occasional and experimental smoking were assessed using multilevel logistic regression analysis. Separate models with and without covariates were undertaken.

RESULTS

Without adjusting for possible confounders, living in suburbs with greater retailer density did not increase the odds of daily smoking (OR=1.01; 95% CI: 0.92–1.12), occasional smoking (OR=1.05; 95% CI: 0.94–1.18), or experimental smoking (OR=0.98; 95% 0.92– 1.05). However, after adjustment, living in suburbs with greater retailer density increased the odds of occasional smoking behavior (AOR=1.37; 95% CI: 1.10–1.71) but not daily or experimental smoking.

CONCLUSIONS

This study found a significant positive association between tobacco retailer density and the likelihood of occasional smoking in a rural Australian jurisdiction without a tobacco retailer licensing system in place. The findings strengthen calls for the introduction of a comprehensive, positive tobacco retailer licensing system to provide a framework for improving compliance with legislation and to reduce the overall availability of tobacco products in the community.

Geographic variation in tobacco use in India: a population-based multilevel cross-sectional study

OBJECTIVE

This study aims to quantify the extent to which people's use of tobacco products varies by local areas (city ward and village) across India and the variation in this clustering by tobacco products.

DESIGN

Cross-sectional study.

SETTING AND PARTICIPANTS

Data on 73 954 adults across 2547 city wards and villages were available for analysis from 30 states and 2 union territories in India.

PRIMARY AND SECONDARY OUTCOME MEASURES

We included as primary outcomes self-reported any tobacco use, current cigarette smoking, current bidi smoking, current smokeless tobacco use and a derived variable for dual use describing respondents who engaged in both smoking and smokeless tobacco use.

RESULTS

The median risk of an individual using tobacco was 1.64 times greater if a person hypothetically moved from an area of low to high risk of tobacco use (95% CI: 1.60 to 1.69). Area-level partitioning of variation differed by tobacco product used. Median ORs ranged from 1.77 for smokeless tobacco use to 2.53 for dual use.

CONCLUSIONS

Tobacco use is highly clustered geographically in India. To be effective in India, policy interventions should be directed to influence specific local contextual factors on adult tobacco use. Where people live in India influences their use of tobacco, and this association may be greater than has been observed in other settings. Tailoring tobacco control policies for local areas in India may, therefore, provide substantial public health benefits.

How do perceived and objective measures of neighbourhood disadvantage vary over time? Results from a prospective-longitudinal study in the UK with implications for longitudinal research on neighbourhood effects on health

Background

Theories of health outcomes often hypothesize that living in more socially and economically disadvantaged neighbourhoods will lead to worse health. Multiple measures of neighbourhood disadvantage are available to researchers, which may serve as better or worse proxies for each other across time. To inform longitudinal study design and interpretation we investigated how perceived and objective measures of neighbourhood disadvantage vary over time and the factors underlying this variation.

Methods

Data were from 8,918 mothers with at least three time-points of neighbourhood data in the Avon Longitudinal Study of Parents and Children in the UK. We analyzed measures of objective (Indices of Multiple Deprivation) and perceived (neighbourhood quality, social cohesion, and stress) exposure to neighbourhood disadvantage at 10 time-points over 18 years. We used group-based trajectory modelling to determine the overlap in participants' trajectories on the different measures and evaluated the baseline factors associated with different perceived trajectories over time.

Results

There was evidence of heterogeneity in both perceived and objective measures of neighbourhood disadvantage over time (e.g., on the objective measure, 5% of participants moved to more deprived neighbourhoods, 11% moved to less deprived neighbourhoods, 20% consistently lived in deprived neighbourhoods, and 64% consistently lived in non-deprived neighbourhoods). Perceived social cohesion showed the weakest relationship with exposure to objective neighbourhood deprivation: most participants in each trajectory group of objective neighbourhood deprivation followed non-corresponding trajectories of perceived social cohesion (61–80%). Accounting for objective deprivation exposure, poorer socioeconomic and psychosocial indicators at baseline were associated with following more negative perceived neighbourhood trajectories (e.g., high neighbourhood stress) over time.

Conclusion

Trajectories of perceived and objective measures of neighbourhood disadvantage varied over time, with the extent of variation depending on the time point of measurement and individual-level social factors. Researchers should be mindful of this variation when choosing and determining the timing of measures of neighbourhood disadvantage in longitudinal studies and when inferring effect mechanisms.

Discretionary spending priorities of unemployed, job-seeking adults who smoke cigarettes

Objective

Tobacco use is detrimental to physical and financial wellbeing. Smoking is associated with unemployment and a harder time finding re-employment. The current study examined job-seekers' prioritization of smoking over other discretionary items.

Methods

Adult, unemployed job-seekers smoking daily ranked items from 1 (highest) to 13 (lowest) for prioritization of their discretionary spending. The online survey randomly ordered the presentation of items. The Heaviness of Smoking Index (HSI, time to first cigarette and cigarettes per day) assessed severity of nicotine addiction.

Results

The sample (N = 290) was 70% men, 42% African American and 30% non-Hispanic Caucasian, with mean age of 43 (SD = 11), smoking an average of 12 cigarettes per day (SD = 6), and 67% smoking within 30 min of waking. Overall, cigarettes (M = 4.7, SD = 3.1) ranked second in importance behind only food (M = 2.5, SD = 2.7); 45% of the sample ranked tobacco in their top 3 spending priorities, and 26% ranked cigarettes as a higher priority than food. Cellular charges, transportation, grooming, and clothing ranked third through sixth, respectively. Higher HSI scores significantly correlated with greater prioritization of cigarettes (r = -0.25), and lower prioritization of food (r = 0.16) and transportation (r = 0.13), p's < 0.05.

Conclusions

Findings indicate cigarettes were highly prioritized, second only to food among job-seekers who smoke. Cigarettes were prioritized over job-seeking resources and health care, particularly among those who were more heavily addicted. Tobacco addiction can preempt basic life needs and reduce resources for finding re-employment.

Social and Physical Environmental Characteristics Associated With Adult Current Cigarette Smoking

INTRODUCTION

Our objective was to identify social and physical environmental factors associated with current cigarette smoking among adults by metropolitan county in the United States.

METHODS

We linked cigarette smoking data from the 2012 Behavioral Risk Factor Surveillance System (BRFSS) Selected Metropolitan Area Risk Trends (SMART) data set to 7 social and physical environmental characteristics: county type (metropolitan designation), primary care physician density, income inequality, percentage of the population that was a racial/ethnic minority, violent crime rate, education, and percentage of county residents with low income and no health insurance, all obtained from several county data sets. Spatial regression and hierarchical logistic regression modeling were performed.

RESULTS

Results showed that metropolitan counties with a high proportion of non-Hispanic white adults (P < .001), lower education levels (high school graduate or less) (P < .001), and high violent crime rates (P < .001) had a higher adult cigarette smoking prevalence than other metropolitan counties. Spatial models showed 63.3% of the variability in county cigarette smoking prevalence was explained by these 3 factors as well as county type (based on population size of the of metropolitan area), primary care physician density, and percentage of county residents with low income and no health insurance. At an individual level, results showed that as the density (population) of primary care physicians increased in a county, the odds of being a current smoker decreased (OR, 0.980; P = .02).

CONCLUSION

We found a significant association between adult cigarette smoking and county social and physical environmental factors. These place-based factors, especially social environmental characteristics, may reveal tobacco-related disparities to be considered when developing strategies to reduce tobacco use.

Do Differences in Social Environments Explain Gender Differences in Recreational Walking across Neighbourhoods?

Within a city, gender differences in walking for recreation (WfR) vary significantly across neighbourhoods, although the reasons remain unknown. This cross-sectional study investigated the contribution of the social environment (SE) to explaining such variation, using 2009 data from the How Areas in Brisbane Influence healTh and AcTivity (HABITAT) study, including 7866 residents aged 42–67 years within 200 neighbourhoods in Brisbane, Australia (72.6% response rate). The analytical sample comprised 200 neighbourhoods and 6643 participants (mean 33 per neighbourhood, range 8–99, 95% CI 30.6–35.8). Self-reported weekly minutes of WfR were categorised into 0 and 1–840 mins. The SE was conceptualised through neighbourhood-level perceptions of social cohesion, incivilities and safety from crime. Analyses included multilevel binomial logistic regression with gender as main predictor, adjusting for age, socioeconomic position, residential self-selection and neighbourhood disadvantage. On average, women walked more for recreation than men prior to adjustment for covariates. Gender differences in WfR varied significantly across neighbourhoods, and the magnitude of the variation for women was twice that of men. The SE did not explain neighbourhood differences in the gender–WfR relationship, nor the between-neighbourhood variation in WfR for men or women. Neighbourhood-level factors seem to influence the WfR of men and women differently, with women being more sensitive to their environment, although Brisbane’s SE did not seem such a factor.

Educational and Wealth Inequalities in Smokeless Tobacco Use: An Analysis of Rural-Urban Areas of Bangladesh and India

This study aims to investigate the educational and wealth inequalities in smokeless tobacco (SLT) use in rural and urban areas of Bangladesh and India, the 2 largest global SLT users. Using the Global Adult Tobacco Survey, both absolute and relative measures of inequality were estimated. The analysis reveals that the educational inequalities in SLT use were higher in urban areas of India and in rural areas of Bangladesh, whereas the wealth inequalities in SLT use were higher in urban areas of both the countries. Moreover, the logit model showed that the odds of SLT use declined with an increase in the level of education and wealth in rural and urban areas of India. However, no consistent pattern was observed in rural and urban areas of Bangladesh. The findings clearly delineate the subgroups which require immediate attention for SLT cessation interventions in these 2 countries.

Broken (windows) theory: A meta-analysis of the evidence for the pathways from neighborhood disorder to resident health outcomes and behaviors

The criminological "broken windows" theory (BWT) has inspired public health researchers to test the impact of neighborhood disorder on an array of resident health behaviors and outcomes. This paper identifies and meta-analyzes the evidence for three mechanisms (pathways) by which neighborhood disorder is argued to impact health, accounting for methodological inconsistencies across studies. A search identified 198 studies (152 with sufficient data for meta-analysis) testing any of the three pathways or downstream, general health outcomes. The meta-analysis found that perceived disorder was consistently associated with mental health outcomes, as well as substance abuse, and measures of overall health. This supported the psychosocial model of disadvantage, in which stressful contexts impact mental health and related sequelae. There was no consistent evidence for disorder's impact on physical health or risky behavior. Further examination revealed that support for BWT-related hypotheses has been overstated owing to data censoring and the failure to consistently include critical covariates, like socioeconomic status and collective efficacy. Even where there is evidence that BWT impacts outcomes, it is driven by studies that measured disorder as the perceptions of the focal individual, potentially conflating pessimism about the neighborhood with mental health.

The tobacco endgame: The neglected role of place and environment

An increasing number of countries across the world are planning for the eradication of the tobacco epidemic. The actions necessary to realise this ambition have been termed the tobacco endgame. The focus of this paper is on the intersection between the tobacco endgame with place, a neglected theme in recent academic and policy debates. We begin with an overview of the key themes in the literature on endgame strategies before detailing the international landscape of engame initiatives, paying particular attention to the opportunities and challenges of endgame strategies in low and middle income countries. Finally, we critically assess the current endgame debates and suggest a novel agenda for integrating geographical perspectives into research on the endgame that provides enhanced understanding of the challenges associated with this important global health vision.

Neighborhood Disadvantage and Body Mass Index: A Study of Residential Relocation

Natural experiments, such as longitudinal observational studies that follow-up residents as they relocate, provide a strong basis to infer causation between the neighborhood environment and health. In this study, we examined whether changes in the level of neighborhood disadvantage were associated with changes in body mass index (BMI) after residential relocation. This analysis included data from 928 residents who relocated between 2007 and 2013, across 4 waves of the How Areas in Brisbane Influence Health and Activity (HABITAT) study in Brisbane, Australia. Neighborhood disadvantage was measured using a census-derived composite index. For individual-level data, participants self-reported their height, weight, education, occupation, and household income. Data were analyzed using multilevel, hybrid linear models. Women residing in less disadvantaged neighborhoods had a lower BMI, but there was no association among men. Neighborhood disadvantage was not associated with within-individual changes in BMI among men or women when moving to a new neighborhood. Despite a growing body of literature suggesting an association between neighborhood disadvantage and BMI, we found this association may not be causal among middle-aged and older adults. Observing associations between neighborhood socioeconomic disadvantage and BMI over the life course, including the impact of residential relocation at younger ages, remains a priority for future research.

Neighbourhood safety and smoking in population subgroups: The HELIUS study

This study examines the associations between neighbourhood safety and three types of smoking behaviour, and whether these associations differ by sex, age, ethnicity and individual-level socio-economic position. Baseline data (2011-2015) from the The HEalthy LIfe in an Urban Setting (HELIUS) study (Amsterdam, the Netherlands) were used. Smoking behaviour was based on self-report. Heavy smoking was defined as smoking ≥10 cigarettes per day. Nicotine dependence was assessed using the Fagerström questionnaire. Geographic Information System techniques were used to construct local residential areas and to examine neighbourhood safety for these areas using micro-scale environmental data. Multilevel logistic regression analyses with 6-digit zip code area as a second level were used to assess the association between neighbourhood safety and smoking. In our study sample of 22,728 participants (18-70 years), 24.0% were current smokers, 13.7% were heavy smokers and 8.1% were nicotine dependent individuals. Higher levels of neighbourhood safety were significantly associated with less heavy smoking (OR = 0.88, 95% CI = 0.78-0.99) and less nicotine dependence (OR = 0.81, 95% CI = 0.69-0.95), but not with less current smoking (OR = 1.01, 95% CI = 0.91-1.11). The associations between neighbourhood safety and the three types of smoking behaviour varied by ethnicity. For instance, higher levels of neighbourhood safety were associated with less current smoking in participants of African Surinamese origin (OR = 0.71, 95% CI = 0.57-0.89), but not in those of Dutch (OR = 1.13, 95% CI = 0.91-1.39), South-Asian Surinamese (OR = 1.22, 95% CI = 0.95-1.55), Turkish (OR = 1.08, 95% CI = 0.84-1.38), Moroccan (OR = 1.53, 95% CI = 1.12-2.10) or Ghanaian (OR = 1.18, 95% CI = 0.47-2.94) origin. Policies that improve neighbourhood safety potentially contribute to less heavy smoking and nicotine dependence.

Neighborhood socioeconomic disadvantage and body mass index among residentially stable mid-older aged adults: Findings from the HABITAT multilevel longitudinal study

Despite a body of evidence on the relationship between neighborhood socioeconomic disadvantage and body mass index (BMI), few studies have examined this relationship over time among ageing populations. This study examined associations between level of neighborhood socioeconomic disadvantage and the rate of change in BMI over time. The sample included 11,035 participants aged between 40 and 65years at baseline from the HABITAT study, residing in 200 neighborhoods in Brisbane, Australia. Data were collected biennially over four waves from 2007 to 2013. Self-reported height and weight were used to calculate BMI, while neighborhood disadvantage was measured using a census-based composite index. All models were adjusted for age, education, occupation, and household income. Analyses were conducted using multilevel linear regression models. BMI increased over time at a rate of 0.08kg/m² (95% CI 0.02, 0.13) and 0.17kg/m² (95% CI 0.11, 0.29) per wave for men and women respectively. Both men and women residing in the most disadvantaged neighborhoods had a higher average BMI than their counterparts living in the least disadvantaged neighborhoods. There were no evident differences in the rate of BMI change over time by level of neighborhood disadvantage. The findings suggest that by mid-older age, the influence of neighborhood socioeconomic conditions over time on BMI may have already played out. Future research should endeavor to identify the genesis of neighborhood socioeconomic inequalities in BMI, the determinants of these inequalities, and then suitable approaches to intervening.

Social Environment and Hospitalisation after Release from Prison: A Prospective Cohort Study

This study examined the association between remoteness and area disadvantage, and the rate of subsequent hospitalisation, in a cohort of adults released from prisons in Queensland. A baseline survey of 1267 adult prisoners within 6 weeks of expected release was prospectively linked with hospital, mortality and reincarceration records. Postcodes were used to assign remoteness and area disadvantage categories. Multivariate Andersen-Gill regression models were fitted to test for associations between remoteness, area disadvantage and hospitalisation after release from prison. Over a total of 3090.9 person-years of follow-up, the highest crude incidence rates were observed in areas characterised by remoteness and area disadvantage (crude incidence rate (IR) = 649; 95%CI: 526-791), followed by remoteness only (IR = 420; 95%CI: 349-501), severe area disadvantage only (IR = 403; 95%CI: 351-461), and neither of these factors (IR = 361; 95%CI: 336-388). Unadjusted analyses indicated that remoteness (hazard ratio (HR) = 1.32; 95%CI: 1.04-1.69; p = 0.024) was associated with increased risk of hospitalisation; however, this attenuated to the null after adjustment for covariate factors. The incidence of hospitalisation for those who live in remote or socio-economically disadvantaged areas is increased compared to their counterparts in more urban and less socio-economically disadvantaged areas. Experiencing both these factors together may compound the hospitalisation in the community.

Neighborhood social environment as risk factors to health behavior among African Americans: The Jackson Heart Study

BACKGROUND

Few studies have focused on the impact of neighborhood social environment on changes in smoking and alcohol use over time among African Americans.

METHOD

Jackson Heart Study participants were recruited from the Jackson, MS metropolitan area from 2000 to 2004. Neighborhood social environment was characterized using census-based neighborhood socio-economic status (NSES) and survey-derived perceptions of neighborhood social cohesion, disorder, and violence. Multinomial logistic regression was used to estimate the associations of neighborhood social environment with prevalence of smoking and alcohol use and with changes in these behaviors over time adjusted for individual sociodemographic characteristics.

RESULTS

Participants (N=3166) resided in 108 census tracts. All neighborhood social environment variables were consistently associated with prevalence of current smoking at baseline (11%) and with persistence of smoking over a median of 8-years follow-up (8%). The odds of being a consistent smoker relative to never smoking was about 30% higher per 1SD higher neighborhood violence (aOR: 1.30, 95% CI: 1.16-1.46) and disorder (aOR: 1.26, 95% CI: 1.08 - 1.47) and at least 16% lower per 1SD higher in neighborhood social cohesion (aOR: 0.84, 95% CI: 0.74-0.95) and NSES (aOR: 0.79, 95% CI: 0.67-0.95). Heavy alcohol use at baseline (17%) and consistent heavy use over the study period (8%) were negatively associated with higher NSES (aOR: 0.85, 95% CI: 0.73-0.99 per 1SD increase in NSES).

CONCLUSION

Favorable neighborhood social environments may reduce unhealthy behaviors among African Americans.

Associations between physical activity and the neighbourhood social environment: baseline results from the HABITAT multilevel study

Limitations have arisen when measuring associations between the neighbourhood social environment and physical activity, including same-source bias, and the reliability of aggregated neighbourhood-level social environment measures. This study examines cross-sectional associations between the neighbourhood social environment (perceptions of incivilities, crime, and social cohesion) and self-reported physical activity, while accounting for same-source bias and reliability of neighbourhood-level exposure measures, using data from a large population-based clustered sample. This investigation included 11,035 residents aged 40-65years from 200 neighbourhoods in Brisbane, Australia, in 2007. Respondents self-reported their physical activity and perceptions of the social environment (neighbourhood incivilities, crime and safety, and social cohesion). Models were adjusted for individual-level education, occupation, and household income, and neighbourhood disadvantage. Exposure measures were generated via split clusters and an empirical Bayes estimation procedure. Data were analysed in 2016 using multilevel multinomial logistic regression. Residents of neighbourhoods with the highest incivilities and crime, and lowest social cohesion were reference categories. Individuals were more likely to be in the higher physical activity categories if they were in neighbourhoods with the lowest incivilities and the lowest crime. No associations were found between social cohesion and physical activity. This study provides a basis from which to gain a clearer understanding of the relationship between the neighbourhood social environment and individual physical activity. Further work is required to explore the pathways between perceptions of the neighbourhood social environment and physical activity.