Neighborhood built environment typologies and adiposity in children and adolescents.

BACKGROUND/OBJECTIVES: Neighborhoods are complex, multidimensional systems. However, the interrelation between multiple neighborhood dimensions is seldom considered in relation to youth adiposity. We created a neighborhood typology using a range of built environment features and examined its association with adiposity in youth. SUBJECTS/METHODS: Analyses are based on data from the QUALITY cohort, an ongoing study on the natural history of obesity in Quebec youth with a history of parental obesity. Adiposity was measured at baseline (8-10 years) and follow up, ~8 years later. Neighborhood features were measured at baseline through in-person neighborhood assessments and geocoded administrative data and were summarized using principal components analysis. Neighborhood types were identified using cluster analysis. Associations between neighborhood types and adiposity were examined using multivariable linear regressions. RESULTS: Five distinct neighborhood types characterized by levels of walkability and traffic-related safety were identified. At ages 8-10 years, children in moderate walkability/low safety neighborhoods had higher BMI Z-scores [ß: 0.41 (0.12; 0.71), p = 0.007], fat mass index [ß: 1.22 (0.29; 2.16), p = 0.010], waist circumference [ß: 4.92 (1.63; 8.21), p = 0.003], and central fat mass percentage [ß: 1.60 (0.04; 3.16), p = 0.045] than those residing in moderate walkability/high safety neighborhoods. Attenuated associations were observed between neighborhood types and adiposity 8 years later. Specifically, residents of moderate walkability/low safety neighborhoods had a higher FMI [ß: 1.42 (-0.07; 2.90), p = 0.062], and waist circumference [ß: 5.04 (-0.26; 10.34), p = 0.062]. CONCLUSIONS: Neighborhoods characterized by lower traffic safety appear to be the most obesogenic to children, regardless of other walkability-related features. Policies targeting neighborhood walkability for children may need to prioritize vehicular traffic safety.

Socioeconomic inequalities in secondhand smoke exposure before, during and after implementation of Quebec's 2015 'An Act to Bolster Tobacco Control'.

BACKGROUND: To better understand whether tobacco control policies are associated with changes in secondhand smoke (SHS) exposure across socioeconomic groups, we monitored differences in socioeconomic inequalities in SHS exposure in households and private vehicles among youth and adults before, during and after adoption of Quebec's 2015 An Act to Bolster Tobacco Control. METHODS: Using data from the Canadian Community Health Survey, we examined the prevalence of daily exposure to SHS in households and private vehicles among youth (ages 12 to 17) and adults (ages 18+) across levels of household education and income (separately) in 2013/2014, 2015/2016 and 2017/2018. We tested differences in the magnitude of differences in outcomes over time across education and income categories using logistic models with interaction terms, controlling for age and sex. RESULTS: We detected inequalities in SHS exposure outcomes at each time point, most markedly at home among youth (OR of SHS exposure among youth living in the 20% poorest households vs the 20% richest=4.9, 95% CI 2.7 to 6.2). There were decreases in SHS exposure in homes and cars in each education/income group over time. The magnitude of inequalities in SHS exposure in homes and cars, however, did not change during this period. CONCLUSIONS: The persistence of socioeconomic inequalities in SHS exposure despite implementation of new tobacco control laws represents an increasingly worrisome public health challenge, particularly among youth. Policymakers should prioritise the reduction of socioeconomic inequalities in SHS exposure and consider the specific needs of socioeconomically disadvantaged populations in the design of future legislation.

Smoking in Young Adults: A Study of 4-Year Smoking Behavior Patterns and Residential Presence of Features Facilitating Smoking Using Data From the Interdisciplinary Study of Inequalities in Smoking Cohort.

INTRODUCTION: Young adults have the highest prevalence of smoking among all age groups in most industrialized countries and exhibit great variability in smoking behavior. Differences in associations between features in residential environments and smoking initiation, prevalence, and cessation have been extensively examined in the literature. Nonetheless, in many cases, findings remain inconsistent. This paper proposes that a potential driver of these inconsistencies is an almost exclusive focus on point-specific smoking outcomes, without consideration for the different behavior patterns that this age group may experience over time. AIMS AND METHODS: Based on data from the Interdisciplinary Study of Inequalities in Smoking cohort of 18- to 25-year-old Montreal residents (n = 1025), we examined associations between 4-year smoking patterns measured at three timepoints and proximal presence/density of tobacco retail outlets and presence of smoker accommodation facilities in Montreal, Canada. Associations were tested using two-level multinomial and logistic models. RESULTS: In fully adjusted models, compared to never-smokers, residents of areas with a higher density of tobacco retail were more likely to (1) be characterized as established smokers, (2) have experienced repeated changes in smoking status (being "switchers") during the 4-year study period, and (3) be former smokers. CONCLUSIONS: From a conceptual standpoint, these findings highlight the importance of acknowledging and examining smoking behavior patterns among young adults. Furthermore, specific pattern-feature associations may point to unique mechanisms by which features could influence smoking behavior patterns. These findings require replication and extension, including testing hypotheses regarding tobacco retail density's role in sustaining smoking and in influencing changes in smoking status. IMPLICATIONS: Results from this study highlight the importance of describing and examining different young adult smoking behavior patterns and how they may be influenced by residential environment features such as the density of tobacco retail. Findings suggest that young adults residing in areas with a higher density of tobacco retailers are more likely to have experienced repeated changes in smoking status and to be established smokers. Further research in this area is needed to advance knowledge of the putative mechanisms by which residential features may influence smoking behavior patterns and to ultimately orient policy and interventions seeking to curb smoking at the local level.

Residential environments and smoking behaviour patterns among young adults: A prospective study using data from the Interdisciplinary Study of Inequalities in Smoking cohort.

Young adults have the highest prevalence of smoking among all age groups. Studies have shown associations between presence/density of tobacco retail and presence of smoker accommodation and smoking prevalence. However, little is known about their potential to influence different smoking patterns including initiation, maintenance, or cessation. This is important because smoking behaviour patterns in young adults may be subject to ongoing changes. Moreover, smoking pattern determinants may be different to those of smoking prevalence, and feature-pattern associations may be scale-dependent, requiring the consideration of different analytical spatial units. We examined associations between prospectively-measured smoking behaviour patterns and presence/density of tobacco retail, and presence of smoker accommodation facilities across 2 nested spatial units in Montreal, Canada. Data were from 18 to 25 year-old Montreal residents who had participated in the Interdisciplinary Study of Inequalities in Smoking cohort both at baseline in 2011-2012 and follow-up in 2014 and resided in the same area at follow-up. 2-year smoking behaviour patterns were assessed for 2 cohorts based on participants' smoking status at baseline. Associations were examined using multilevel logistic models. Young adults who were smokers at baseline residing in areas with higher local-level presence of tobacco retail were less likely to quit smoking (i.e.: to be non-smokers for fewer than 2 years). Higher presence of smoker accommodation was not associated with smoking patterns at any scale. Findings provide evidence of scale-specific associations between residential environment features and smoking behaviour patterns in young adults, which may point to specific exposure-outcome processes underlying these associations.

Rethinking the relationship between socioeconomic status and health: Challenging how socioeconomic status is currently used in health inequality research.

AIMS: The Scandinavian Journal of Public Health recently reiterated the importance of addressing social justice and health inequalities in its new editorial policy announcement. One of the related challenges highlighted in that issue was the limited use of sociological theories able to inform the complexity linking the resources and mechanisms captured by the concept of socioeconomic status. This debate article argues that part of the problem lies in the often unchallenged reliance on a generic conceptualization and operationalization of socioeconomic status. These practices hinder researchers' capacity to examine in finer detail how resources and circumstances promote the unequal distribution of health through distinct yet intertwined pathways. As a potential way forward, this commentary explores how research practices can be challenged through concrete publication policies and guidelines. To this end, we propose a set of recommendations as a tool to strengthen the study of socioeconomic status and, ultimately, the quality of health inequality research. CONCLUSIONS: Authors, reviewers, and editors can become champions of change toward the implementation of sociological theory by holding higher standards regarding the conceptualization, operationalization, analysis, and interpretation of results in health inequality research.

Social inequalities in health information seeking among young adults in Montreal.

Over their lifecourse, young adults develop different skills and preferences in relationship to the information sources they seek when having questions about health. Health information seeking behaviour (HISB) includes multiple, unequally accessed sources; yet most studies have focused on single sources and did not examine HISB's association with social inequalities. This study explores 'multiple-source' profiles and their association with socioeconomic characteristics. We analyzed cross-sectional data from the Interdisciplinary Study of Inequalities in Smoking involving 2093 young adults recruited in Montreal, Canada, in 2011-2012. We used latent class analysis to create profiles based on responses to questions regarding whether participants sought health professionals, family, friends or the Internet when having questions about health. Using multinomial logistic regression, we examined the associations between profiles and economic, social and cultural capital indicators: financial difficulties and transportation means, friend satisfaction and network size, and individual, mother's, and father's education. Five profiles were found: 'all sources' (42%), 'health professional centred' (29%), 'family only' (14%), 'Internet centred' (14%) and 'no sources' (2%). Participants with a larger social network and higher friend satisfaction were more likely to be in the 'all sources' group. Participants who experienced financial difficulties and completed college/university were less likely to be in the 'family only' group; those whose mother had completed college/university were more likely to be in this group. Our findings point to the importance of considering multiple sources to study HISB, especially when the capacity to seek multiple sources is unequally distributed. Scholars should acknowledge HISB's implications for health inequalities.

Identifying risk profiles for excess sedentary behaviour in youth using individual, family and neighbourhood characteristics.

There are few known determinants of sedentary behaviour (SB) in children. We generated and compared profiles associated with risk of excess SB among children (n = 294) both at 8-10 and 10-12 years of age (Visits 1 and 2, respectively), using data from the QUebec Adipose and Lifestyle InvesTigation in Youth. Excess SB was measured by accelerometry and defined as >50% of total wear time at <100 counts/minutes. Recursive partitioning analyses were performed with candidate individual-, family-, and neighbourhood-level factors assessed at Visit 1, and distinct groups at varying risk of excess SB were identified for both timepoints. From the ages of 8-10 to 10-12 years, the prevalence of excess SB more than doubled (24.5% to 57.1%). At Visit 1, excess SB was greatest (73%) among children simultaneously not meeting physical activity guidelines, reporting >2 h/day of weekday non-academic screen time, living in low-dwelling density neighbourhoods, having poor park access, and living in neighbourhoods with greater disadvantage. At Visit 2, the high-risk group (70%) was described by children simultaneously not meeting physical activity guidelines, reporting >2 h/day of non-academic screen time on weekends, and living in neighbourhoods with low disadvantage. Risk factors related to individual lifestyle behaviours are generally consistent, and neighbourhood factors generally inconsistent, as children age from late childhood to pre-adolescence. Multiple factors from developmental, behavioural and contextual domains increase risk for excess sedentary behaviour; these warrant consideration to devise effective prevention or management strategies.

Beyond Smoking Prevalence: Exploring the Variability of Associations between Neighborhood Exposures across Two Nested Spatial Units and Two-Year Smoking Trajectory among Young Adults.

Young adults have the highest prevalence of smoking amongst all age groups. Significant uptake occurs after high school age. Although neighborhood exposures have been found to be associated with smoking behavior, research on neighborhood exposures and the smoking trajectories among young adults, and on the role of geographic scale in shaping findings, is scarce. We examined associations between neighborhood exposures across two nested, increasingly large spatial units and smoking trajectory over two years among young adults living in Montreal, Canada. A sample of 2093 participants aged 18-25 years from the Interdisciplinary Study of Inequalities in Smoking (ISIS) was surveyed. The dependent variable was self-reported smoking trajectory over the course of two years. Residential addresses, data on presence of tobacco retail outlets, and the presence of smoking accommodation facilities were coded and linked to spatial units. Three-level multinomial models were used to examine associations. The likelihood of being a smoker for 2+ years was significantly greater among those living in larger spatial unit neighborhoods that had a greater presence of smoking accommodation. This association was not statistically significant at the smaller spatial units. Our findings highlight the importance of studying young adults' smoking trajectories in addition to static smoking outcomes, and point to the relevance of considering spatial scale in studies of neighborhoods and smoking.