A latent profile analysis of neighborhood recreation environments in relation to adolescent physical activity, sedentary time, and obesity

Are Spanish adolescents who actively commute to and from school more active in other domains? A spatiotemporal investigation

We examined the association between mode of commuting to/from school (i.e., walking, multimodal, and motorized-vehicle) and movement behaviours in several space-time domains (i.e., total day, home, school, transport, and other locations). Walking to and/or from school was associated with higher MVPA in all space-time domains except home, where no associations were found. After subtracting commuting time to/from school from total day domain, the associations in favour of walking to/from school were maintained compared to those using other commuting modes, and in transport domain these associations dissipated. The study suggests the importance of promoting walking to/from school for increasing MVPA levels.

Características percebidas da vizinhança e a prática de atividade física entre adolescentes e adultos jovens: um modelo com respostas distais

Os objetivos do estudo foram identificar perfis de vizinhança percebidos por adolescentes e adultos jovens, e estimar sua associação com a realização de atividade física global e de lazer. Utilizaram-se dados de 1.637 indivíduos entre 15 e 24 anos, de um estudo transversal, com amostragem por conglomerados, de uma cidade do Estado da Bahia, Brasil, em 2011. A atividade física foi mensurada pelo International Physical Activity Questionnaire (IPAQ), versão curta, além de questão sobre atividade no lazer. A percepção de características do ambiente físico e social da vizinhança se baseou em escala com 14 questões. Perfis de vizinhança foram definidos por meio de análise de classes latentes (LCA), e a estimação dos seus efeitos na atividade física usou o modelo com respostas distais. A análise de perfil latente resultou em três padrões de vizinhança, descritos como “urbana, sociável e favorável à atividade física - classe 1” (39,6%); “sociável e segura - classe 2” (24,4%); e “insegura, de baixa sociabilidade - classe 3” (36%). Os indivíduos pertencentes à “classe 1” apresentaram maior probabilidade de se exercitar (56,4%), enquanto, para as classes 2 e 3, estes percentuais corresponderam a 46,3% e 42,8%, respectivamente. Associação estatisticamente significante foi identificada apenas na classe “urbana, sociável e favorável à atividade física”, cuja chance de realizar atividade de lazer foi de 72% (OR = 1,72; IC95%: 1,29-2,29). Bairros com atributos favoráveis à prática de atividade física e a existência de elementos de urbanização aumentam a chance do comportamento ativo no lazer entre os adolescentes e adultos jovens. O uso de LCA e do modelo com repostas distais é promissor e inovador na abordagem sobre vizinhança.

Neighborhood Profiles and Body Mass Index Trajectory in Female Adolescents and Young Adults

PURPOSE

The purpose of this study is to identify distinct neighborhood profiles patterned by key structural, physical, and social characteristics and test whether living in different profiles are associated with body mass index trajectories during adolescence in racial/ethnic minority female youth.

METHODS

Participants were 1,328 sexually active female adolescents and young adults aged 14-23 years, predominately Hispanic and black, enrolled in an human papillomavirus type 4 vaccine (Gardasil) surveillance study at a large adolescent health clinic in New York City between 2007 and 2018. Body mass index was calculated from weight and height every 6 months. A comprehensive set of neighborhood structural, social, and physical characteristics from multiple national and state datasets was linked to each participant based on home address.

RESULTS

Latent profile analysis revealed five distinct neighborhood profiles in New York City: High Structural/High Social Advantage, Moderate Advantage/Low Crime, Low SES (Socioeconomic Status)/High Activity, Low SES/High Social Advantage, and High Disadvantage. Results from multilevel growth curve analysis revealed that living in Low SES/High Activity neighborhoods was associated with a lower BMI at age 22 (b = -1.32, 95% confidence interval -2.49, -.16), as well as a slower increase in BMI from age 14 to 22 years (b = -.22, 95% confidence interval -.46, .02), compared to the High Disadvantage profile.

CONCLUSIONS

Our findings suggest that improving neighborhood structural, social, and physical environments may help promote healthy weight and reduce health disparities during adolescence and young adulthood.

Adolescent's movement behaviors and built environment: a latent class analysis

BACKGROUND

Latent class analysis (LCA) is an alternative and innovative approach to verify the relation of the various combinations of the constructed environment and movement behavior (levels of physical activity, sedentary behavior, and sleep) characteristics. This study aimed to identify latent classes based on the characteristics of the neighborhood environment perceived by adolescents and their association with gender, socioeconomic status (SS), body composition and movement behaviors.

METHODS

This cross-sectional study includes 309 Brazilian adolescents (14 to 16 years old, 57% female). The characteristics of the neighborhood environment perceived were analyzed by the Neighborhood Walkability for Youth Scale. Accelerometers were used for a week to evaluate the movement behaviors. Questionnaires assessed the screen times, total sitting time (TST), and sociodemographic characteristics. LCA was used for modeling the "Perceived Enviroment" variable, having been conducted in the poLCA (Polychromous Variable Latent Class Analysis) package of the R statistical software.

RESULTS

Three classes were recognized: class 1, "Best Perceived Environment" with 23.03% of adolescents; class 2, "Moderate Perceived Environment", 63.33%; and class 3, "Worst Perceived Environment", 13.67%. Light physical activity (LPA), TST, and SS were associated with class prevalence. The adolescents with medium and low SS were, respectively, 3.42 (95% CI 1.62-7.21) and 4.18 (95% CI 1.66-10.50) more likely to belong to class 2, and those with low SS were 5.21 (95% CI 1.35-20.13) more likely to belong to class 3. Class 1 adolescents were associated with a lower chance (OR: 0.09, 95% CI 0.02-0.55) of involvement in 'adequate LPA time' compared to class 3. Class 1 adolescents were associated with a lower chance (OR: 0.31, 95% CI 0.12-0.79) of involvement in 'adequate TST' compared to class 2. There was a difference between the LPA and TST classes; class 3 presented a longer time in LPA than class 1; class 1 had higher TST than the other classes.

CONCLUSION

The findings highlight the influence of neighborhood classes on adolescents' LPA and TST.

Neighborhood archetypes and breast cancer survival in California

PURPOSE

Previous studies on neighborhoods and breast cancer survival examined neighborhood variables as unidimensional measures (e.g. walkability or deprivation) individually and thus cannot inform how the multitude of highly correlated neighborhood domains interact to impact breast cancer survival. Neighborhood archetypes were developed that consider interactions among a broad range of neighborhood social and built environment attributes and examine their associations with breast cancer survival.

METHODS

Archetypes were measured using latent class analysis (LCA) fit to California census tract-level data. Thirty-nine social and built environment attributes relevant to eight neighborhood domains (socioeconomic status (SES), urbanicity, demographics, housing, land use, commuting and traffic, residential mobility, and food environment) were included.  The archetypes were linked to cancer registry data on breast cancer cases (diagnosed 1996-2005 with follow-up through Dec 31, 2017) to evaluate their associations with overall and breast cancer-specific survival using Cox proportional hazards models. Analyses were stratified by race/ethnicity.

RESULTS

California neighborhoods were best described by nine archetypal patterns that were differentially associated with overall and breast cancer-specific survival. The lowest risk of overall death was observed in the upper middle class suburb (reference) and high status neighborhoods, while the highest was observed among inner city residents with a 39% greater risk of death (95% CI = 1.35 to 1.44). Results were similar for breast cancer-specific survival. Stratified analyses indicated that differences in survival by neighborhood archetypes varied according to individuals' race/ethnicity.

CONCLUSIONS

By describing neighborhood archetypes that differentiate survival following breast cancer diagnosis, the study provides direction for policy and clinical practice addressing contextually-rooted social determinants of health including SES, unhealthy food environments, and greenspace.

Longitudinal Association of Built Environment Pattern with Physical Activity in a Community-Based Cohort of Elderly Hong Kong Chinese: A Latent Profile Analysis

A large number of studies have focused on the associations between single built environment (BE) characteristics and physical activity (PA). Combinations of BE characteristics offer a more comprehensive approach to identify the BE–PA associations. We aimed to examine the BE–PA associations in a cohort of elderly Hong Kong Chinese. Between 2001 and 2003, 3944 participants (65–98 years of age) were recruited and followed for a mean of 7.8 years. BE characteristics were assessed via geographic information system. PA levels were obtained using the Physical Activity Scale for the Elderly questionnaire at baseline and three follow-ups. Latent profile analysis was first conducted to classify the BE characteristics, and linear mixed-effects models were then used to explore the longitudinal associations between the BE classes and changes in the PA levels. Three classes of BE were identified. Class 3 (characterized by greater green space and sky view factor) demonstrated a significant decline in household PA (β = −1.26, 95% confidence interval: −2.20, −0.33) during the study period, and a slower decline in walking PA (1.19 (0.42, 1.95)) compared with Class 2 (characterized by a greater proportion of residential land use). Our results indicate that BE patterns characterized by high green space and a sky view factor may help promote the walking PA level.

Finite mixture models in neighbourhoods-to-health research: A systematic review

A systematic review was conducted, following PRISMA guidelines, to examine the application of finite mixture models (FMMs) in the study of neighbourhoods and health. Two reviewers screened 814-studies identified through database searches and citation tracking. Data were extracted from 19-studies that met the inclusion criteria, and a risk of bias analysis undertaken. Data were synthesised narratively, with a focus on methodological issues idiosyncratic to FMMs. Motivated by a desire to account for neighbourhood heterogeneity, studies sought to identify meaningful neighbourhood-level typologies that explained the distributional nature of health outcomes. Neighbourhood-centred applications of FMMs were promising but there remains scope for advancement. Research-based recommendations are outlined to strengthen prospective neighbourhood-centred studies applying FMMs.

Patterning of neighbourhood food outlets and longitudinal associations with children's eating behaviours

This study examined cross-sectional and prospective associations between typologies of neighbourhood food environment and dietary patterns among 10-12 year-old children. Baseline data were collected in 2003 and follow-up data in 2006 from children in Melbourne or Geelong. Parents completed a food frequency questionnaire at both time points. 'Healthful' and 'energy-dense' dietary pattern scores were computed. A Geographic Information System was used to determine the presence or absence of food outlets (cafés/restaurant; fast food; supermarkets/grocery stores; convenience store; greengrocer; and butcher, seafood or poultry retailer) within an 800 m road network buffer of home. Three typologies were identified: 1-variety of food outlets, including those selling core/fresh foods (n = 96); 2-café/restaurant and convenience (n = 160); 3-few types of outlets (n = 208). Latent class analysis was used to identify underlying unobservable typologies of neighbourhood food outlet availability. Linear mixed models were fitted to determine cross-sectional (n = 439) and longitudinal (n = 173) associations between the three identified neighbourhood typologies and each (log-transformed) dietary pattern, accounting for clustering within families and schools. There was little evidence of cross-sectional associations. The longitudinal analyses showed that compared to those with a variety of food outlets, those with few types had 25% lower scores for the healthful dietary pattern (p < 0.05) three years later. For optimal dietary patterns, availability of a variety of food outlets close to home, particularly those where core/fresh foods are available, may be important.

Sedentary Behaviour in Swiss Children and Adolescents: Disentangling Associations with the Perceived and Objectively Measured Environment

Identifying correlates of sedentary behaviour across all levels of the ecological model and understanding their interrelations is a promising method to plan effective interventions. The present study examined whether the objectively assessed and the perceived neighbourhood are associated with children’s sedentary behaviour time (SBT). A comprehensive set of factors at different levels of influence across the ecological model were taken into account and analysed for mediating and modifying effects. Analyses were based on 1306 children and adolescents (6⁻16 years) participating in the population-based SOPHYA-study. Accelerometers were used to assess SBT, the perceived environment was examined by a validated parental questionnaire, and objective environmental data were allocated using GIS (ArcMap 10.2, Esri, Redlands, CA, USA) for each family’s residential address. A high perceived safety was associated with less SBT. Boys, those whose residential neighbourhood was characterized by dead ends in urban areas, a low main street density in the neighbourhood of children and greenness were less likely to exhibit SBT. The association of the objective environment with the respective parental perceptions was low and no significant mediating effect was found for the perceived environment. We conclude for land-use planning to reduce sedentary behaviour objective environments should be complemented with efforts to increase parental sense of security.

Barrios, ghettos, and residential racial composition: Examining the racial makeup of neighborhood profiles and their relationship to self-rated health

Racial/ethnic disparities in self-rated health persist and according to the social determinants of health framework, may be partially explained by residential context. The relationship between neighborhood factors and self-rated health has been examined in isolation but a more holistic approach is needed to understand how these factors may cluster together and how these neighborhood typologies relate to health. To address this gap, we conducted a latent profile analysis using data from the Chicago Community Adult Health Study (CCAHS; N = 2969 respondents in 342 neighborhood clusters) to identify neighborhood profiles, examined differences in neighborhood characteristics among the identified typologies and tested their relationship to self-rated health. Results indicated four distinct classes of neighborhoods that vary significantly on most neighborhood-level social determinants of health and can be defined by racial/ethnic composition and class. Residents in Hispanic, majority black disadvantaged, and majority black non-poor neighborhoods all had significantly poorer self-rated health when compared to majority white neighborhoods. The difference between black non-poor and white neighborhoods in self-rated health was not significant when controlling for individual race/ethnicity. The results indicate that neighborhood factors do cluster by race and class of the neighborhood and that this clustering is related to poorer self-rated health.

Patterns of food and physical activity environments related to children's food and activity behaviors: A latent class analysis

Relationships between food and physical activity (PA) environments and children's related behaviors are complex. Latent class analyses derived patterns from proximity to healthy and unhealthy food outlets, PA facilities and parks, and counts of residential dwellings and intersections. Regression analyses examined whether derived classes were related to food consumption, PA, and overweight among 404 low-income children. Compared to children living in Low PA-Low Food environments, children in High Intersection&Parks-Moderate Density&Food, and High Density-Low Parks-High Food environments, had significantly greater sugar-sweetened beverage consumption (ps<0.01) and overweight/obesity (ps<0.001). Children in the High Density-Low Parks-High Food environments were more likely to walk to destinations (p = 0.01) Recognizing and leveraging beneficial aspects of neighborhood patterns may be more effective at positively influencing children's eating and PA behaviors compared to isolating individual aspects of the built environment.

Associations of the perceived and objective neighborhood environment with physical activity and sedentary time in New Zealand adolescents

Background

There is accumulating evidence supporting the association between neighborhood built environments and adults’ physical activity (PA) and sedentary time (ST); however, few studies have investigated these associations in adolescents. A better understanding of the features of the built environment that encourage PA or ST is therefore of critical importance to promote health and wellbeing in adolescents. The aim of this study was to estimate the associations of GIS-determined and perceived walkability components in individual residential buffer zones with accelerometer-assessed moderate-to-vigorous physical activity (MVPA) and ST in adolescents.

Methods

The Built Environment in Adolescent New Zealanders (BEANZ) study was conducted in two cities (Auckland and Wellington) during the 2013-2014 academic school years. The exposure measures were subjective and objective environmental indices of activity-friendliness using four residential buffers. Road network buffers were calculated around participant’s residential addresses using the sausage buffer approach at 250 m, 500 m, 1 km, and 2 km scales. A 25 m radius was used for the buffers. Data were analysed using Generalized Additive Mixed Models in R.

Results

Data were analysed from 524 participants (15.78 ± 1.62 years; 45% male). Participants accumulated ~114 min/day of moderate-to-vigorous PA (MVPA) and ~354 min/day of ST during accelerometer wear-time (~828 min/day). The estimated difference in MVPA between participants with the 1st and 3rd quartiles observed values on the composite subjective environmental index of activity-friendliness (perceived land use mix - diversity, street connectivity and aesthetics) was equivalent to ~8 min/day (~56 MVPA min/week) and for the objective environmental index of activity-friendliness (gross residential density and number of parks within 2 km distance from home) was ~6 min of MVPA/day (~45 MVPA min/week). When both indices were entered in a main-effect model, both indices remained significantly correlated with MVPA with sex as a moderator. The predicted difference in sedentary time between those with the minimum and maximum observed values on the subjective index of non-sedentariness was ~20 min/day.

Conclusions

The combined assessment of the main effects of subjective and objective indices of activity-friendliness on NZ adolescents’ PA and ST showed positive relationships with MVPA for the subjective index only. The subjective index was a significant correlate of PA in both girls and boys, while the objective index was significant only in boys when sex was entered as a moderator. Further research is warranted to understand the relationships of ST with the built environment.

Relationship between Recreational Resources in the School Neighborhood and Changes in Fitness in New York City Public School Students

Physical fitness in children has many beneficial effects, including the maintenance of a healthy weight. The built environment may influence youths' physical fitness by encouraging physical activity. This paper assessed whether higher density of parks, playgrounds, and sports facilities around a school is related to improvements in fitness in middle school boys and girls. Fitness scores and other student covariates collected as part of NYC FITNESSGRAM between the 2006-2007 and 2010-2011 school years were linked with school neighborhood data on characteristics of the built environment for NYC public school students in grades 6-8. Data were analyzed in 2015. Medium, but not high, density of recreational resources in the area surrounding a school was associated with greater annual improvements in fitness for both boys and girls. This association appeared to be driven mainly by the presence of parks. Findings for sports facilities and playgrounds were inconsistent. Overall, few associations were observed between recreational resources near a school and changes in student fitness. Future studies of school influences on student fitness should consider the influence of school resources and the home neighborhood.

Typologies of neighbourhood environments and children's physical activity, sedentary time and television viewing

This study examined cross-sectional and prospective associations between clusters of neighbourhood attributes (typologies) and non-school moderate-to-vigorous physical activity, sedentary time (objectively measured) and proxy-reported television viewing among children aged 5-6 and 10-12 years. Four distinct clusters were identified from seven objectively-measured neighbourhood attributes (land use mix, traffic exposure, playgrounds, sports venues, intersections and cul-de-sacs within 800m, crime/postcode). Some cross-sectional associations with behavior were found. Longitudinally, the cluster characterised by mixed land use and many playgrounds and sport venues was associated with less television viewing on weekends three years later. Considering the aggregate effects of urban form elements may help understand how combinations of neighbourhood attributes influence behavior.

Exploring the mediating roles of physical activity and television time on the relationship between the neighbourhood environment and childhood obesity

OBJECTIVE

Understanding the mechanisms by which neighbourhood environments influence childhood obesity is needed to facilitate the development of prevention strategies. The objective of this cross-sectional study was to identify the distinct types of neighbourhoods in which Canadian children reside and examine the extent to which physical activity and sedentary behaviour mediate the relationship between neighbourhood type and childhood obesity.

METHODS

Baseline data from the National Longitudinal Survey of Children and Youth (1994/1995) were used for this study. Latent class analysis was used to group children (age 0-11; N = 22,831) into neighbourhood types based on perceived and census-derived measures of neighbourhood attributes. A path analysis was used to determine the extent to which levels of physical activity and sedentary behaviour mediated the relationship between the resulting neighbourhood types and obesity.

RESULTS

Five neighbourhood types were identified. Children living in the high safety-low deprivation neighbourhood type, which had the most supportive attributes with regard to physical activity, were significanlty less likely to be obese than children living in the other neighbourhood types. Relative to the high safety-low deprivation neighbourhood, the relationship between neighbourhood type and obesity was partially mediated by physical activity and sedentary behaviour (7%-12% of total effect) among the other urban neighbourhoods, and no mediating effect was found in the rural neighbourhood.

CONCLUSIONS

Intervention strategies attempting to address the increased risk of obesity associated with neighbourhood environments should be tailored according to urban and rural setting and should consider taking a comprehensive approach aimed at improving a range of obesity-related behaviours.

Examining childhood obesity and the environment of a segregated, lower-income US suburb

Purpose

– The contribution of the built environment within communities plays a significant role in the higher rates of childhood obesity, particularly among black and Hispanic youth. The purpose of this paper is to investigate neighborhood assets and barriers to nutrition and physical activity in an underserved, majority-minority suburban community in New York State, USA using Photovoice, a community-based participatory research method.

Design/methodology/approach

– Nine local youth took photographs to visually identify the community’s environmental assets and barriers. Through an extensive review and selection of photos and group discussion themes were identified. Final results of the Photovoice project were presented to local policy makers and community members for action.

Findings

– Participants provided complex and insightful perspectives of health inequalities in the suburbs, including limited access to fresh, healthy food, and safe spaces for physical activity. They also understood that improving nutrition and physical activity practices required policy changes and civic engagement.

Research limitations/implications

– This study represented one suburban area of New York, and is not meant to be representative of all suburban areas. However, the findings of environmental barriers to childhood obesity are similar to those found in urban areas, suggesting similarities in low-income communities of color.

Social implications

– This study suggests that Photovoice is an effective way of collaborating between various community stakeholders (particularly youth) in an underserved suburb that can result in community changes.

Originality/value

– Besides achieving all three Photovoice goals – recording and reflection, dialogue, and reaching policymakers – the Photovoice project identified a long-standing environmental hazard as a result of the partnerships established between the youth, academic institution, community-based organizations, and residents. This study also identified factors in the built environment that contribute to health disparities in a racially segregated suburban community.

Patterns of Walkability, Transit, and Recreation Environment for Physical Activity

INTRODUCTION

Diverse combinations of built environment (BE) features for physical activity (PA) are understudied. This study explored whether patterns of GIS-derived BE features explained objective and self-reported PA, sedentary behavior, and BMI.

METHODS

Neighborhood Quality of Life Study participants (N=2,199, aged 20-65 years, 48.2% female, 26% ethnic minority) were sampled in 2001-2005 from Seattle / King County WA and Baltimore MD / Washington DC regions. Their addresses were geocoded to compute net residential density, land use mix, retail floor area ratio, intersection density, public transit, and public park and private recreation facility densities using a 1-km network buffer. Latent profile analyses (LPAs) were estimated from these variables. Multilevel regression models compared profiles on accelerometer-measured moderate to vigorous PA (MVPA) and self-reported PA, adjusting for covariates and clustering. Analyses were conducted in 2013-2014.

RESULTS

Seattle region LPAs yielded four profiles, including low walkability/transit/recreation (L-L-L); mean walkability/transit/recreation (M-M-M); moderately high walkability/transit/recreation (MH-MH-MH); and high walkability/transit/recreation (H-HH). All measures were higher in the HHH than the LLL profile (difference of 17.1 minutes/day for MVPA, 146.5 minutes/week for walking for transportation, 58.2 minutes/week for leisure-time PA, and 2.2 BMI points; all p<0.05). Baltimore region LPAs yielded four profiles, including L-L-L; M-M-M; high land use mix, transit, and recreation (HLU-HT-HRA); and high intersection density, high retail floor area ratio (HID-HRFAR). HLU-HT-HRA and L-L-L differed by 12.3 MVPA minutes/day; HID-HRFAR and L-L-L differed by 157.4 minutes/week for walking for transportation (all p<0.05).

CONCLUSIONS

Patterns of environmental features explain greater differences in adults' PA than the four-component walkability index.

Associations between socioeconomic position and correlates of sedentary behaviour among youth: a systematic review

Existing research evidence indicates that children and adolescents of parents with a low socioeconomic position spend more time on sedentary behaviour than their counterparts. However, the mechanisms driving these differences remain poorly understood. The main aim of this systematic review was to summarize the evidence regarding the association between socioeconomic position and correlates of sedentary behaviour among youth (0-18 years) from developed countries. The literature search was conducted using MEDLINE, Embase, CINAHL and PsycINFO. A total of 37 studies were included. All but three studies examined screen-based sedentary behaviours only. Methodological quality ranged from low to moderate. Education was the most commonly used indicator of socioeconomic position, followed by income. Socioeconomic position was inversely related to the presence of a TV in the child's bedroom, parental modelling for TV viewing, parental co-viewing and eating meals in front of the TV. We found no/indeterminate evidence for an association between socioeconomic position and rules and regulations about screen time. The findings suggest possible factors that could be targeted in future intervention studies to decrease screen-based sedentary behaviour in lower socioeconomic groups in particular.

Patterns of neighborhood environment attributes in relation to children's physical activity

Characterizing neighborhood environments in relation to physical activity is complex. Latent profiles of parents' perceptions of neighborhood characteristics were examined in relation to accelerometer-measured moderate-to-vigorous physical activity (MVPA) among 678 children (ages 6-12) in two US regions. Neighborhood environment profiles derived from walkability, transit access, aesthetics, crime and traffic safety, pedestrian infrastructure, and recreation/park access were created for each region. The San Diego County profile lowest on walkability and recreation/park access was associated with an average of 13 fewer min/day of children's out-of-school MVPA compared to profiles higher on walkability and recreation/park access. Seattle/King County profiles did not differ on children's MVPA. Neighborhood environment profiles were associated with children's MVPA in one region, but results were inconsistent across regions.

Combined measure of neighborhood food and physical activity environments and weight-related outcomes: The CARDIA study

Engagement in healthy lifestyle behaviors likely reflects access to a diverse and synergistic set of food and physical activity resources, yet most research examines discrete characteristics. We characterized neighborhoods with respect to their composition of features, and quantified associations with diet, physical activity (PA), body mass index (BMI), and insulin resistance (IR) in a longitudinal biracial cohort (n=4143; aged 25-37; 1992-2006). We used latent class analysis to derive population-density-specific ( Collapse

Key Words

• Diet
• Insulin resistance
• Neighborhood
• Obesity
• Physical activity

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MESH Headings

• Adult
• Body Mass Index
• Diet
• Environment
• Exercise
• Female
• Food Supply
• Health Behavior
• Humans
• Insulin Resistance
• Longitudinal Studies
• Male
• Obesity/epidemiology
• Residence Characteristics
• United States/epidemiology

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Grants

• AG0005 NIA NIH HHS
• P30 DK079626 NIDDK NIH HHS
• HHSN268201300025C NHLBI NIH HHS
• P30DK56350 NIDDK NIH HHS
• HHSN268201300027C NHLBI NIH HHS
• R01 HL114091 NHLBI NIH HHS
• R01HL104580 NHLBI NIH HHS
• P30 DK056350 NIDDK NIH HHS
• K12 HD043488 NICHD NIH HHS
• R01 HL104580 NHLBI NIH HHS
• HHSN268201300026C NHLBI NIH HHS
• P30 ES010126 NIEHS NIH HHS
• HHSN268200900041C NHLBI NIH HHS
• HHSN268201300028C NHLBI NIH HHS
• R24 HD050924 NICHD NIH HHS
• HHSN268201300029C NHLBI NIH HHS
• P30ES010126 NIEHS NIH HHS
• R24HD050924 NICHD NIH HHS

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Affiliation(s)

Katie A Meyer Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
Janne Boone-Heinonen Public Health and Preventive Medicine, Oregon Health and Science University, Portland, OR, United States
Kiyah J Duffey Department of Human Nutrition, Foods, and Exercise, Virginia Polytechnic Institute, Blacksburg, VA, United States
Daniel A Rodriguez Department of City and Regional Planning, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
Catarina I Kiefe Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, United States
Cora E Lewis Division of Preventive Medicine, University of Alabama at Birmingham, Birmingham, AL, United States
Penny Gordon-Larsen Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States; Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States

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Collaborators Collapse

The influence of the neighborhood physical environment on early child health and development: A review and call for research

This review examines evidence of the association between the neighborhood built environment, green spaces and outdoor home area, and early (0-7 years) child health and development. There was evidence that the presence of child relevant neighborhood destinations and services were positively associated with early child development domains of physical health and wellbeing and social competence. Parents׳ perceptions of neighborhood safety were positively associated with children׳s social-emotional development and general health. Population representative studies using objective measures of the built environment and valid measures of early child development are warranted to understand the impact of the built environment on early child health and development.

Environmental influences on children's physical activity

BACKGROUND

This paper aims to assess whether 7-year-olds' physical activity is associated with family and area-level measures of the physical and socioeconomic environments.

METHODS

We analysed the association of environments with physical activity in 6497 singleton children from the UK Millennium Cohort Study with reliable accelerometer data (≥2 days and ≥10 h/day). Activity levels were assessed as counts per minute; minutes of moderate to vigorous activity (MVPA); and whether meeting recommended guidelines (≥60 min/day MVPA).

RESULTS

Higher levels of children's physical activity were associated with households without use of a car and with having a television in a child's bedroom (for counts per minute only). Aspects of the home socioeconomic environment that were associated with more children's physical activity were lone motherhood, lower maternal socioeconomic position and education, family income below 60% national median, and not owning the home. Children's activity levels were higher when parents perceived their neighbourhood as poor for bringing up children and also when families were living in the most deprived areas. Relationships were independent of characteristics such as child's body mass index and ethnic group. When adjusted for physical and socioeconomic correlates, the factors remaining significant in all outcomes were: household car usage and maternal education.

CONCLUSIONS

Although physical and socioeconomic environments are associated with children's physical activity, much of the variation appears to be determined by the child's home socioeconomic circumstances rather than the wider environment where they live.

Are park proximity and park features related to park use and park-based physical activity among adults? Variations by multiple socio-demographic characteristics

Background

Parks are valuable resources for physical activity (PA) given their widespread availability and low cost to maintain and use. Both proximity to parks and the availability of particular features are important correlates of PA. However, few studies have explored multiple measures of proximity simultaneously or the specific facilities associated with park use and park-based PA among adults, let alone differences across socio-demographic characteristics. The purpose of this study was to examine associations between park proximity and park facilities and adults’ park use and park-based PA, while also exploring differences by gender, age, race, and income.

Methods

Data on monthly park use and weekly amount of PA undertaken in parks were collected via a mail survey of adults from randomly-selected households (n = 893) in Kansas City, Missouri (KCMO) in 2010–2011. Three measures of park proximity were calculated within 1 mile of participating households: distance to the closest park, number of parks, and total park area. All parks in KCMO were audited using the Community Park Audit Tool to determine the availability of 14 park facilities within 1 mile of each participant (e.g., trail, playground, tennis court). Multilevel logistic regression was used to examine the relationship between each of park use and park-based PA and 1) three measures of park proximity, and 2) the availability of 14 park facilities within 1 mile of participants. Separate analyses were conducted by gender, age, race, and income, while controlling for all socio-demographic characteristics and BMI.

Results

Across all sub-samples, distance to the closest park was not significantly related to either park use or park-based PA. However, numerous significant associations were found for the relationship of number of parks and amount of park space within 1 mile with both outcomes. As well, diverse facilities were associated with park use and park-based PA. For both park proximity and facilities, the significant relationships varied widely across gender, age, race, and income groups.

Conclusions

Both park proximity and park facilities are related to park use and park-based PA. Understanding how such associations vary across demographic groups is important in planning for activity-friendly parks that are responsive to the needs of neighborhood residents.

Regular physical activity has differential association with reduced obesity among diverse youth in the United States

This study examined whether daily or almost daily lower-intensity physical activity was associated with reduced obesity, among 4824 African American, Hispanic, and White youth assessed in fifth and seventh grades. Regular lower-intensity physical activity was associated with reduced obesity only among Hispanic and White males and only in seventh grade, and not among youth in fifth grade, females, or African American males or females. Findings from this study suggest that the reduced obesity risk generally attributed to physical activity may not be consistent across racial/ethnic and gender groups of early adolescents.

Gender differences in home environments related to childhood obesity in Nanchang, China

BACKGROUND

Childhood obesity is rapidly increasing in China, with rates doubling between 2000 and 2010. Several large, epidemiological studies have shown boys to be consistently more likely to be obese than girls. The aim of this study was to investigate gender differences in the home environment and parenting practices related to childhood obesity.

METHODS

A cross-sectional survey using a convenience sampling of 522 (86.1% response rate) primary caregivers of children ages 2-10 years was conducted in four locations in Nanchang, China, in the spring of 2013 using face-to-face, anonymous questionnaires.

RESULTS

Boys were significantly (p<0.05) more likely than girls to watch more television (TV) per week, be allowed to have snacks/sweets or soft drinks without permission, and to have sugary drinks at snacks and meals. Girls were significantly more likely than boys to have parental encouragement and support for physical activity, participate in organized sports/group activities, and have fresh fruits accessible. Parents also believed that boys eat too much junk foods or their favorite foods if not controlled. Few differences were noted in the actual physical environment in the home, including access to sports equipment, junk food availability, and access to media.

CONCLUSIONS

RESULTS indicate that parents tend to be more permissive with boys than girls, allowing them access to unhealthy foods and more TV time. These differences may contribute to the higher prevalence of obesity in boys in China.

The associations of perceived neighborhood disorder and physical activity with obesity among African American adolescents

Background

According to recent research studies, the built and socioeconomic contexts of neighborhoods are associated with African American adolescents’ participation in physical activity and obesity status. However, few research efforts have been devoted to understand how African American adolescents’ perceptions of their neighborhood environments may affect physical activity behaviors and obesity status. The objective of the current study was to use a perceived neighborhood disorder conceptual framework to examine whether physical activity mediated the relationship between perceived neighborhood disorder and obesity status among African American adolescents.

Methods

The data were obtained from a cross-sectional study that examined social and cultural barriers and facilitators of physical activity among African American adolescents. The study included a sample of 101 African American adolescents age 12 to 16 years and their parents who were recruited from the Birmingham, Alabama metropolitan area. The primary outcome measure was obesity status which was classified using the International Obesity Task Force cut off points. Moderate-to-vigorous physical activity was assessed via accelerometry. Perceived neighborhood disorder was assessed using the Perceived Neighborhood Disorder Scale. Mediation models were used to examine whether the relationship between neighborhood disorder and obesity status was mediated by physical activity.

Results

Perceived neighborhood disorder was significantly and positively related to obesity status and moderate-to-vigorous physical activity was inversely associated with obesity status. However, there was no evidence to support a significant mediating effect of moderate-to-vigorous physical activity on the relationship between neighborhood disorder and obesity status.

Conclusion

Future studies should longitudinally assess perceived neighborhood disorder characteristics and childhood adiposity to examine the timing, extent, and the mechanisms by which perceived neighborhood disorder characteristics increase the risk of obesity.

Patterns of neighborhood environment attributes related to physical activity across 11 countries: a latent class analysis

BACKGROUND

Neighborhood environment studies of physical activity (PA) have been mainly single-country focused. The International Prevalence Study (IPS) presented a rare opportunity to examine neighborhood features across countries. The purpose of this analysis was to: 1) detect international neighborhood typologies based on participants' response patterns to an environment survey and 2) to estimate associations between neighborhood environment patterns and PA.

METHODS

A Latent Class Analysis (LCA) was conducted on pooled IPS adults (N=11,541) aged 18 to 64 years old (mean=37.5±12.8 yrs; 55.6% women) from 11 countries including Belgium, Brazil, Canada, Colombia, Hong Kong, Japan, Lithuania, New Zealand, Norway, Sweden, and the U.S. This subset used the Physical Activity Neighborhood Environment Survey (PANES) that briefly assessed 7 attributes within 10-15 minutes walk of participants' residences, including residential density, access to shops/services, recreational facilities, public transit facilities, presence of sidewalks and bike paths, and personal safety. LCA derived meaningful subgroups from participants' response patterns to PANES items, and participants were assigned to neighborhood types. The validated short-form International Physical Activity Questionnaire (IPAQ) measured likelihood of meeting the 150 minutes/week PA guideline. To validate derived classes, meeting the guideline either by walking or total PA was regressed on neighborhood types using a weighted generalized linear regression model, adjusting for gender, age and country.

RESULTS

A 5-subgroup solution fitted the dataset and was interpretable. Neighborhood types were labeled, "Overall Activity Supportive (52% of sample)", "High Walkable and Unsafe with Few Recreation Facilities (16%)", "Safe with Active Transport Facilities (12%)", "Transit and Shops Dense with Few Amenities (15%)", and "Safe but Activity Unsupportive (5%)". Country representation differed by type (e.g., U.S. disproportionally represented "Safe but Activity Unsupportive"). Compared to the Safe but Activity Unsupportive, two types showed greater odds of meeting PA guideline for walking outcome (High Walkable and Unsafe with Few Recreation Facilities, OR=2.26 (95% CI 1.18-4.31); Overall Activity Supportive, OR=1.90 (95% CI 1.13-3.21). Significant but smaller odds ratios were also found for total PA.

CONCLUSIONS

Meaningful neighborhood patterns generalized across countries and explained practical differences in PA. These observational results support WHO/UN recommendations for programs and policies targeted to improve features of the neighborhood environment for PA.

Neighborhood environment profiles for physical activity among older adults

OBJECTIVES

To explore among older adults whether multivariate neighborhood profiles were associated with physical activity (PA) and BMI.

METHODS

Adults (66-97 years) were recruited from Baltimore-Washington, DC (n=360), and Seattle-King County, Washington (n=368), regions. Latent profile analyses were conducted using the Neighborhood Environment Walkability Scale. ANCOVA models tested for criterion validity of profiles by examining relationships to PA and BMI.

RESULTS

Neighborhood profiles differed significantly by as much as 10 minutes/day for moderate-to-vigorous PA, 1.1 hours/week for walking for errands, and almost 50 minutes/week for leisure PA.

CONCLUSIONS

Environmental variables resulted in meaningful neighborhood patterns that explained large differences in seniors' health outcomes.

Patterns of obesogenic neighborhood features and adolescent weight: a comparison of statistical approaches

BACKGROUND

Few studies have addressed the potential influence of neighborhood characteristics on adolescent obesity risk, and findings have been inconsistent.

PURPOSE

Identify patterns among neighborhood food, physical activity, street/transportation, and socioeconomic characteristics and examine their associations with adolescent weight status using three statistical approaches.

METHODS

Anthropometric measures were taken on 2682 adolescents (53% female, mean age=14.5 years) from 20 Minneapolis/St. Paul MN schools in 2009-2010. Neighborhood environmental variables were measured using GIS data and by survey. Gender-stratified regressions related to BMI z-scores and obesity to (1) separate neighborhood variables; (2) composites formed using factor analysis; and (3) clusters identified using spatial latent class analysis in 2012.

RESULTS

Regressions on separate neighborhood variables found a low percentage of parks/recreation, and low perceived safety were associated with higher BMI z-scores in boys and girls. Factor analysis found five factors: away-from-home food and recreation accessibility, community disadvantage, green space, retail/transit density, and supermarket accessibility. The first two factors were associated with BMI z-score in girls but not in boys. Spatial latent class analysis identified six clusters with complex combinations of both positive and negative environmental influences. In boys, the cluster with highest obesity (29.8%) included low SES, parks/recreation, and safety; high restaurant and convenience store density; and nearby access to gyms, supermarkets, and many transit stops.

CONCLUSIONS

The mix of neighborhood-level barriers and facilitators of weight-related health behaviors leads to difficulties disentangling their associations with adolescent obesity; however, statistical approaches including factor and latent class analysis may provide useful means for addressing this complexity.

Obesogenic family types identified through latent profile analysis

BACKGROUND

Obesity may cluster in families due to shared physical and social environments.

PURPOSE

This study aims to identify family typologies of obesity risk based on family environments.

METHODS

Using 2007-2008 data from 706 parent/youth dyads in Minnesota, we applied latent profile analysis and general linear models to evaluate associations between family typologies and body mass index (BMI) of youth and parents.

RESULTS

Three typologies described most families with 18.8% "Unenriched/Obesogenic," 16.9% "Risky Consumer," and 64.3% "Healthy Consumer/Salutogenic." After adjustment for demographic and socioeconomic factors, parent BMI and youth BMI Z-scores were higher in unenriched/obesogenic families (BMI difference = 2.7, p < 0.01 and BMI Z-score difference = 0.51, p < 0.01, respectively) relative to the healthy consumer/salutogenic typology. In contrast, parent BMI and youth BMI Z-scores were similar in the risky consumer families relative to those in healthy consumer/salutogenic type.

CONCLUSIONS

We can identify family types differing in obesity risks with implications for public health interventions.

Neighborhood environment profiles related to physical activity and weight status: a latent profile analysis

BACKGROUND

Neighborhood built environments (BE) include combinations of co-existing stimuli influencing physical activity (PA). Dealing with numerous environmental variables and complexity presents a significant challenge. The current analysis explored whether a range of reported BE features associated with adults' physical activity produced distinct multivariate patterns, and tested whether adults' PA and body mass differed by BE profiles.

METHODS

Participants (20-65 years, 48.2% female, 26% ethnic minority) were recruited between 2002 and 2005 from 32 neighborhoods from Seattle-King County, WA (N=1287) and Baltimore, MD-Washington, DC regions (N=912). Independent Latent Profile Analyses were conducted in each region with 11 environmental variables from the Neighborhood Environment Walkability Scale. Validity of the neighborhood profiles was examined by their relationship to PA (accelerometer-derived moderate-to-vigorous minutes/day, self-reported minutes/week of walking for transportation and leisure) and self-reported BMI using ANCOVA models.

RESULTS

Neighborhood profiles for Seattle and Baltimore regions were visually similar, suggesting generalizability. High-walkable recreationally-dense neighborhoods differed significantly from other neighborhood types by as much as 13 MVPA minutes/day, almost 60 minutes/week of walking for transportation, and 75 min/week of leisure-time activity. Neighborhood profiles also differed significantly for BMI.

DISCUSSION

These findings could help identify optimal patterns of environmental attributes that facilitate physical activity and improve weight status.