Crime rates and sedentary behavior among 4th grade Texas school children

Associations between the neighbourhood social environment and preschool children’s physical activity and screen time

Background

The neighbourhood social environment (NSE) has been associated with physical activity and screen time behaviours in adults and youth however less is known about this relationship in preschool-aged children (2–5 years). This study seeks to explore associations between the NSE and the physical activity and screen time behaviours of preschool-aged children.

Method

Cross-sectional data was collected in 2019. Parents (n = 214) of preschool-aged children (m = 3.8 ± 0.8 years), from 187 different Australian postcodes representing all states and territories were invited to complete an online survey where they answered questions about their NSE (perceived social cohesion, social interaction, sense of community, social norms and neighbourhood crime) and proxy-reported their child’s usual physical activity and screen time (minutes/day). Two hierarchical linear regressions were run separately to assess relationships between NSE predictor variables and physical activity and screen time. Three logistic regressions were run to determine associations between NSE constructs and the likelihood of meeting: 1) physical activity (≥ 180 min/day including ≥ 60 min of moderate-to-vigorous-intensity), 2) screen time (≤ 60 min/day) and 3) both physical activity and screen time guidelines. Child age, gender, childcare attendance, and neighbourhood level socioeconomic status (SES) were controlled for in all analyses.

Results

Social interaction was associated with increased daily physical activity (b = 17.76, 95%CI = 0.81, 34.71), decreased daily screen time (b = -12.77, 95%CI = -23.23, -2.23) and improved the likelihood of meeting physical activity (OR = 1.81, 95%CI = 1.20, 2.75) and combined physical activity and screen time guidelines (OR = 1.51, 95%CI = 1.03, 2.21). Higher neighbourhood crime was associated with a lower likelihood of meeting screen time guidelines (OR = 0.47, 95%CI = 0.47, 0.99). Social cohesion, sense of community and social norms were not statistically significant predictors of daily physical activity, screen time or meeting guidelines.

Conclusion

Social interaction showed the most consistent associations with physical activity and screen time. Future research should consider potential mediators of this relationship, including parental facilitation of children’s outdoor time. Improving understanding of the relationship between the NSE and physical activity and screen time in young children can help to guide community-based initiatives striving to optimise behavioural, health and social outcomes.

Interactive Effects of Neighborhood Safety and Screen Time on Adolescent Internalizing Symptoms

OBJECTIVE

Perceptions of less neighborhood safety and higher levels of screen time are independently linked to adolescent anxiety and depression. Furthermore, residing in a neighborhood perceived as less safe is associated with engaging in higher levels of screen time. Screen time may act as a potential mechanism by which the effects of neighborhood safety on internalizing symptoms differ. Yet, research has not investigated whether the relationship between neighborhood safety and psychosocial adjustment varies at high and low levels of screen time. Therefore, this study examined the interaction between perceived neighborhood safety and screen time on adolescent internalizing symptoms (i.e., anxiety and depressive symptoms).

METHOD

A total of 184 adolescents (53% female; mean age = 17.09, SD = 1.07) were recruited from an ongoing longitudinal study of adolescent drivers. Participants reported their perceptions of neighborhood safety, screen use, anxiety and depressive symptoms, and demographic characteristics. The independent and interactive contributions of neighborhood safety and screen time predicting anxiety and depressive symptoms in adolescents were tested with hierarchical linear regressions.

RESULTS

Perceptions of less neighborhood safety and higher levels of screen time each uniquely predicted adolescent anxiety and depressive symptoms. The relationship between living in a neighborhood perceived as less safe and anxiety symptoms was stronger for youth with high levels of screen time.

CONCLUSION

The findings suggest that youth residing in less safe neighborhoods may have higher levels of anxiety symptoms, and this anxiety symptomology is higher at high levels of screen time.

Association between homicide rates and prevalence of cardiovascular risk factors in the municipalities included in the Study of Cardiovascular Risk Factors in Adolescents

OBJECTIVES

In high-income countries, there is a positive relationship between neighborhood-level crime and cardiovascular risk factors (CRFs) in adolescence. A few studies that examined this association in low- and middle-income countries yielded inconsistent results. The aim of our study was to analyze the associations between homicide rates and prevalence rates of CRFs in adolescents living in Brazilian municipalities.

STUDY DESIGN

Cross-sectional ecologic study.

METHODS

An ecologic study was conducted to evaluate associations between homicide rates and CRFs in 122 municipalities included in the Study of Cardiovascular Risk Factors in Adolescents (Portuguese acronym, ERICA). The following CRFs were evaluated: adiposity (overweight/obese), sedentary behavior (screen time ≥3 h per day), high waist circumference (between 10 and 16 years, percentile ≥90; 16-17 years, ≥90 cm for men and ≥80 cm for women), low high-density lipoproteins (HDL) levels (<45 mg/dl), alcohol use (≥1 drink in the last 30 days) and hypertension (≥percentile 95th). In addition to these risk factors, we also evaluated the association of homicides with physical inactivity. Neighborhood homicide data were obtained from the Ministry of Health Mortality Information System (Portuguese acronym, SIM).

RESULTS

The 3-year homicide (115 per 100,000; interquartile range (IQR): 66.1, 150.5.) and CRFs prevalence rates were high (eg, obesity = 7.7%; IQR:6.2,9.5, overweight = 24.7%; IQR:21.6,27.9, sedentary behavior = 54.4%; IQR:47.9,58.9). Crude and adjusted Spearman correlation coefficients between 3-year homicide rate and CRFs were weak, and with the exception of HDL level, in directions contrary to expectation. Prevalence rate ratios (PR) tended toward the null value, even after multiple adjustments. Although the upper limit of the PR expressing the association between the highest homicide category (65-95% percentile range) and physical inactivity in boys barely overlapped the null hypothesis, the point estimate was also very close to one (boys, PR = 0.98, 95% confidence interval 0.95, 1.0).

CONCLUSIONS

In ERICA municipalities, although high prevalence rates of homicides and CRFs are important public health concerns, no significant associations were found between these variables.

Sedentary Behaviors in Today's Youth: Approaches to the Prevention and Management of Childhood Obesity: A Scientific Statement From the American Heart Association

This scientific statement is about sedentary behavior and its relationship to obesity and other cardiometabolic outcomes in youth. A deleterious effect of sedentary behavior on cardiometabolic health is most notable for screen-based behaviors and adiposity; however, this relation is less apparent for other cardiometabolic outcomes or when sedentary time is measured with objective movement counters or position monitors. Increasing trends of screen time are concerning; the portability of screen-based devices and abundant access to unlimited programming and online content may be leading to new patterns of consumption that are exposing youth to multiple pathways harmful to cardiometabolic health. This American Heart Association scientific statement provides an updated perspective on sedentary behaviors specific to modern youth and their impact on cardiometabolic health and obesity. As we reflect on implications for practice, research, and policy, what emerges is the importance of understanding the context in which sedentary behaviors occur. There is also a need to capture the nature of sedentary behavior more accurately, both quantitatively and qualitatively, especially with respect to recreational screen-based devices. Further evidence is required to better inform public health interventions and to establish detailed quantitative guidelines on specific sedentary behaviors in youth. In the meantime, we suggest that televisions and other recreational screen-based devices be removed from bedrooms and absent during meal times. Daily device-free social interactions and outdoor play should be encouraged. In addition, parents/guardians should be supported to devise and enforce appropriate screen time regulations and to model healthy screen-based behaviors.

Environmental correlates of total and domain-specific sedentary behaviour in young people. The UP&DOWN study

This study investigated the associations between the characteristics of the nearby physical environment with the total and domain-specific leisure-time sedentary behaviour (SB) in young people. The study included 1578 youth (9-18 years) from the UP&DOWN study. Total leisure-time SB was objectively-assessed by accelerometers. Participants self-reported the time spent during leisure-time in different domains of SB (i.e. screen-based, educational-based, social-based, and other-based SB). Information regarding the basic characteristics of the house, the perceived neighbourhood environment, the amount of physical activity facilities, equipment and materials attainable at home, and the media equipment available at home and in the own bedroom was collected. Linear mixed models were performed, including school and city as random effects. The availability of yard was related to lower total SB and time spent surfing the Internet in boys, but not in girls. More favourable perceived neighbourhood environment was associated with lower total SB and time spent playing video games in girls, but not in boys. The amount of physical activity materials at home was negatively associated with screen-based SB, while the availability of a computer in the own bedroom was positively related to the time spent surfing the Internet in boys and girls. The number of televisions at home and having a computer in the own bedroom was associated with lower time in educational-based SB in boys and girls, respectively. Increasing the number of PA materials at home and decreasing the number of TVs at home and the availability of a computer in the bedroom could improve SB profiles of youth.

Featured Article: Community Crime Exposure and Risk for Obesity in Preschool Children: Moderation by the Hypothalamic-Pituitary-Adrenal-Axis Response

Objective

Identification of early risk factors related to obesity is critical to preventative public health efforts. In this study, we investigated links between the Hypothalamic-Pituitary-Adrenal (HPA)-axis activity (diurnal cortisol pattern), geospatially operationalized exposure to neighborhood crime, and body mass index (BMI) for a sample of 5-year-old children. Greater community crime exposure and lower HPA-axis activity were hypothesized to contribute to higher BMI, with child HPA-axis moderating the association between crime exposure and BMI.

Method

Families residing within the boundaries of the City of Seattle (N = 114) provided information concerning demographic/psychosocial risk factors, used to calculate a Cumulative Risk Index, indicating the number of contextual adversities present. Child BMI and diurnal cortisol pattern (derived from assays of saliva samples) were examined, along with neighborhood crime indices computed with publically available information, based on participants' locations.

Results

Hierarchical multiple regression analyses, adjusted for covariates (cumulative risk, age, and sex), indicated that crime proximity made a unique contribution to child BMI, in the direction signaling an increase in the risk for obesity. Consistent with our hypothesis, a significant interaction was observed, indicative of moderation by diurnal cortisol pattern. Follow-up simple slope analyses demonstrated that crime exposure was significantly related to higher BMI for children with low-flat (blunted) diurnal cortisol patterns, where community crime and BMI were not significantly associated at higher levels of cortisol.

Conclusion

Community crime exposure contributes to higher BMI as early as the preschool period, and blunted diurnal cortisol patterns may place children experiencing neighborhood adversity at greater risk for obesity.

Parenting matters: Moderation of biological and community risk for obesity

Contributions of parental limit setting, negativity, scaffolding, warmth, and responsiveness to Body Mass Index (BMI) were examined. Parenting behaviors were observed in parent-child interactions, and child BMI was assessed at 5 years of age. Mothers provided demographic information and obtained child saliva samples used to derive cortisol concentration indicators (N = 250). Geospatial crime indices were computed based on publically available information for a subsample residing within the boundaries of a Pacific Northwest city (N = 114). Maternal warmth and limit setting moderated the association between child HPA-axis regulation and BMI. BMI was higher for children at lower cortisol concentrations with greater maternal warmth and lower for youngsters with mid-range cortisol values under high maternal limit setting. Maternal scaffolding moderated the effects of crime exposure, so that lower scaffolding translated into higher child BMI with greater neighborhood crime exposure. These parenting behaviors could be leveraged in obesity prevention/intervention efforts.

Stuck in Unhealthy Places: How Entering, Exiting, and Remaining in Poor and Nonpoor Neighborhoods Is Associated with Obesity during the Transition to Adulthood

Adolescents from poor versus nonpoor neighborhoods are more likely to become obese during the transition to adulthood. It is unclear whether this pertains to all adolescents from poor neighborhoods or only those who remain in disadvantaged settings. Further, it is unknown how neighborhood poverty entries and exits are associated with obesity. Using census and interview data from 12,164 National Longitudinal Study of Adolescent Health participants, I find that those who consistently live in poor neighborhoods are more likely to become or remain obese by adulthood than those who never live in poor neighborhoods. Exiting severe neighborhood poverty curtails this risk, while entering and remaining in neighborhood poverty in adulthood increases it. These patterns are more pronounced for young women and robust to adjustments for health behaviors and selection bias. Findings support accumulation of risks and social mobility perspectives and highlight how previous and current neighborhood contexts are relevant for health.

Neighborhood Crime-Related Safety and Its Relation to Children's Physical Activity

Crime is both a societal safety and public health issue. Examining different measures and aspects of crime-related safety and their correlations may provide insight into the unclear relationship between crime and children's physical activity. We evaluated five neighborhood crime-related safety measures to determine how they were interrelated. We then explored which crime-related safety measures were associated with children's total moderate-to-vigorous physical activity (MVPA) and MVPA in their neighborhoods. Significant positive correlations between observed neighborhood incivilities and parents' perceptions of general crime and disorder were found (r = 0.30, p = 0.0002), as were associations between parents' perceptions of general crime and disorder and perceptions of stranger danger (r = 0.30, p = 0.0002). Parent report of prior crime victimization in their neighborhood was associated with observed neighborhood incivilities (r = 0.22, p = 0.007) and their perceptions of both stranger danger (r = 0.24, p = 0.003) and general crime and disorder (r = 0.37, p < 0.0001). After accounting for covariates, police-reported crime within the census block group in which children lived was associated with less physical activity, both total and in their neighborhood (beta = -0.09, p = 0.005, beta = -0.01, p = 0.02, respectively). Neighborhood-active children living in the lowest crime-quartile neighborhoods based on police reports had 40 min more of total MVPA on average compared to neighborhood-active children living in the highest crime-quartile neighborhoods. Findings suggest that police reports of neighborhood crime may be contributing to lower children's physical activity.

The relationship between neighborhood socioeconomic characteristics and physical inactivity among adolescents living in Boston, Massachusetts

OBJECTIVES

We sought to determine whether the socioeconomic environment was associated with no participation in physical activity among adolescents in Boston, Massachusetts.

METHODS

We used cross-sectional data from 1878 urban adolescents living in 38 neighborhoods who participated in the 2008 Boston Youth Survey, a biennial survey of high school students (aged 14-19 years). We used multilevel multiple regression models to determine the association between neighborhood-level exposures of economic deprivation, social fragmentation, social cohesion, danger and disorder, and students' reports of no participation in physical activity in the previous week.

RESULTS

High social fragmentation within the residential neighborhood was associated with an increased likelihood of being inactive (odds ratio = 1.53; 95% confidence interval = 1.14, 2.05). No other neighborhood exposures were associated with physical inactivity.

CONCLUSIONS

Social fragmentation might be an important correlate of physical inactivity among youths living in urban settings. Interventions might be needed to assist youths living in unstable neighborhoods to be physically active.

Psychometric validity of the parent's outcome expectations for children's television viewing (POETV) scale

Background

TV and other screen use are common among elementary school aged children with both potential benefits and harms. It is not clear why some parents restrict their children’s screen use and others do not. Parent’s outcome expectations for allowing their child to watch TV and other screen media, i.e. the perceived ‘costs’ and ‘benefits,’ may be influential. Our objective was to develop a measure of Parent’s Outcome Expectations for Children’s TV Viewing (POETV) and test the psychometrics of the resulting instrument among parents with children 6-12 years old.

Methods

An ethnically diverse sample (n = 311) of parents from Harris County, Texas completed measures for POETV, demographics, and parent and child TV viewing and other screen media use via an internet survey. The sample was randomly split and an exploratory factor analysis (EFA) was conducted among the first half of the sample separately for Positive and Negative POETV. A confirmatory factor analysis (CFA) assessed the fit of the resulting factors with the data in the second half of the sample. Internal reliabilities and Spearman partial correlations (controlling for confounders) of children’s TV and other screen use with the resulting POETV factors were calculated for the full sample.

Results

EFA identified two factors for Positive POETV (Parent Centered; Child Centered) and two factors for Negative POETV (TV & Content Exposure; Prevent Other Activities). Follow up CFA confirmed moderate to good psychometric properties for both factor structures with the addition of four correlated errors in the Positive POETV model. Internal reliabilities were appropriate (Cronbach’s alpha >0.7). Parent Centered Positive POETV and Child Centered Positive POETV were correlated with children’s TV viewing on weekdays (0.14, p < 0.05) and weekends (0.17, p < 0.01) respectively. Both also correlated with other screen media use on weekends (0.20 and 0.21, p < 0.001). Prevent Other Activities Negative POETV was negatively correlated with children’s TV viewing on weekdays (-0.16, p < 0.01), weekends (-0.14, p < 0.05) and other screen media on weekends (-0.14, p < 0.05).

Conclusions

The Positive and Negative POETV scales offer a new tool to better define predictors of screen media parenting practices and child screen media use behaviors.

Neighborhood safety and green space as predictors of obesity among preschool children from low-income families in New York City

BACKGROUND

Neighborhood safety, green space, walkability, and sociodemographics may influence physical activity and childhood obesity.

METHODS

Data on measured height and weight, demographic characteristics, and home ZIP code were collected from year 2004 enrollees in a means-tested preschool program in New York City. Each ZIP code was surrounded by a 400-m buffer and characterized using data from the US census, local government departments, New York Times website, and Transportation Alternatives. Linear and Poisson models were constructed using cluster robust standard errors and adjusting for child's sex, race, ethnicity, age, and neighborhood characteristics.

RESULTS

Analyses included 11,562 children ages 3-5 years living in 160 residential ZIP codes. A higher homicide rate (at the 75th vs 25th percentile) was associated with a 22% higher prevalence of obesity (95% CI for the prevalence ratio (PR): 1.05 to 1.41). A higher density of street trees (at the 75th vs 25th percentile) was associated with 12% lower prevalence of obesity (95% CI for the PR: 0.79 to 0.99). Other neighborhood characteristics did not have significant associations with childhood obesity.

CONCLUSIONS

Among preschool children from low-income families, neighborhood homicide rate was associated with more obesity and street tree density was associated with less obesity.

The association of obesity with the likelihood of arrest for young adults

This paper examines whether obesity is associated with the likelihood of arrest. We hypothesize that obese individuals are less likely to commit crime and be arrested because their body weights may prevent them from successfully engaging in certain criminal activities, particularly those that are physically intensive. To test this hypothesis, we use the National Longitudinal Survey of Youth 1997 and panel data techniques and find that obesity is negatively related to arrest. In one specification, for example, we found that the odds of an obese man being arrested are 64% of those of a healthy weight man. The social costs of obesity may be overstated if obesity reduces the likelihood of arrest because the obese are less criminally active.

A review of family and environmental correlates of health behaviors in high-risk youth

Disparities in the prevalence of obesity in youth place minority and low socioeconomic status youth at increased risk for the development of chronic disease, such as metabolic syndrome and type 2 diabetes. Contributing factors to the increases in obesity include a decline in positive health behaviors, such as making healthy dietary choices, engaging in physical activity, and limiting sedentary behaviors. Family and physical environmental contextual factors related to health behaviors are increasingly the focus of health behavior interventions in line with the bioecological model that encourages a system-focused perspective on understanding health behavior influences. Physical environmental characteristics, such as home and neighborhood characteristics and resources, provide the tangible means to support health behaviors and are important contextual variables to consider that may increase intervention effectiveness. Therefore, the current review seeks to highlight the importance of investigating influences of behavior beyond individual characteristics in understanding factors related to the risk of developing metabolic syndrome and type 2 diabetes in youth at high risk for developing chronic disease. The current study reviews the non-intervention literature on family and physical environmental factors related to health behaviors (i.e., diet, physical activity, and sedentary behavior) in youth who are considered to be at-risk for developing metabolic syndrome and type 2 diabetes. Results on 38 published articles of diet, physical activity, and sedentary behaviors showed support for the role of parenting and physical environmental factors, particularly parental monitoring and neighborhood context, such as social cohesion, as they relate to health behaviors in high-risk youth. Implications and recommendations for future research are discussed.

Neighborhood disorder and screen time among 10-16 year old Canadian youth: a cross-sectional study

Background

Screen time activities (e.g., television, computers, video games) have been linked to several negative health outcomes among young people. In order to develop evidence-based interventions to reduce screen time, the factors that influence the behavior need to be better understood. High neighborhood disorder, which may encourage young people to stay indoors where screen time activities are readily available, is one potential factor to consider.

Methods

Results are based on 15,917 youth in grades 6-10 (aged 10-16 years old) who participated in the Canadian 2009/10 Health Behaviour in School-aged Children Survey (HBSC). Total hours per week of television, video games, and computer use were reported by the participating students in the HBSC student questionnaire. Ten items of neighborhood disorder including safety, neighbors taking advantage, drugs/drinking in public, ethnic tensions, gangs, crime, conditions of buildings/grounds, abandoned buildings, litter, and graffiti were measured using the HBSC student questionnaire, the HBSC administrator questionnaire, and Geographic Information Systems. Based upon these 10 items, social and physical neighborhood disorder variables were derived using principal component analysis. Multivariate multilevel logistic regression analyses were used to examine the relationship between social and physical neighborhood disorder and individual screen time variables.

Results

High (top quartile) social neighborhood disorder was associated with approximately 35-45% increased risk of high (top quartile) television, computer, and video game use. Physical neighborhood disorder was not associated with screen time activities after adjusting for social neighborhood disorder. However, high social and physical neighborhood disorder combined was associated with approximately 40-60% increased likelihood of high television, computer, and video game use.

Conclusion

High neighborhood disorder is one environmental factor that may be important to consider for future public health interventions and strategies aiming to reduce screen time among youth.

Childhood obesity and the built environment

PURPOSE OF REVIEW

Neighborhood factors are increasingly examined for their role in the childhood obesity epidemic. Whereas studies on the impacts of neighborhood factors on adult obesity are relatively common, studies examining these same factors on childhood obesity are far fewer.

RECENT FINDINGS

Using the Ecological Systems Theory (EST) as a model, we sought to examine the strength of the literature with respect to neighborhood factors as outlined in EST. This includes factors related to the family and the school, which are embedded in larger social contexts of the community and society. These factors are often referred to in the literature as the 'built environment' which encompasses the entire range of structural elements in a residential setting including, for example, housing mix, transportation networks, public resources, and presence of sidewalks or trails.

SUMMARY

Whereas progress has been made with respect to the body of evidence supporting the role of neighborhood factors on childhood obesity and obesity-related behaviors, much work remains to be done to enhance our understanding of neighborhood level factors. As the body of evidence grows, these studies will inform multilevel interventions which are urgently needed to tackle the growing epidemic of childhood obesity in the US.