Mobile and tablet apps, ubiquitous and pervasive computing, wearable computing and domotics for health.

A multidisciplinary journal that focuses on public health and technology, public health informatics, mass media campaigns, surveillance, and innovation in public health practice and research. Also dedicated to rapid open data sharing during epidemics.

Mobile and tablet apps, ubiquitous and pervasive computing, wearable computing and domotics for health.

Measurements of neighborhood exposures likely vary depending on the definition of “neighborhood” selected. This study examined the extent to which neighborhood definition influences findings regarding spatial accessibility to tobacco retailers among youth. We defined spatial accessibility to tobacco retailers (i.e., tobacco retail density, closest tobacco retailer, and average distance to the closest 5 tobacco retailers) on the basis of circular and network buffers of 400 m and 800 m, census block groups, and census tracts by using residential addresses from the 2008 Boston Youth Survey Geospatial Dataset (n = 1,292). Friedman tests (to compare overall differences in neighborhood definitions) were applied. There were differences in measurements of youths' access to tobacco retailers according to the selected neighborhood definitions, and these were marked for the 2 spatial proximity measures (both P < 0.01 for all differences). For example, the median average distance to the closest 5 tobacco retailers was 381.50 m when using specific home addresses, 414.00 m when using census block groups, and 482.50 m when using census tracts, illustrating how neighborhood definition influences the measurement of spatial accessibility to tobacco retailers. These analyses suggest that, whenever possible, egocentric neighborhood definitions should be used. The use of larger administrative neighborhood definitions can bias exposure estimates for proximity measures.

Background: Childhood obesity remains a prominent public health problem. Walkable built environments may prevent excess weight gain. Objectives: We examined the association of walkable built environment characteristics with body mass index (BMI) z-score among a large sample of children and adolescents. Methods: We used geocoded residential address data from electronic health records of 49,770 children and adolescents 4 to < 19 years of age seen at the 14 pediatric practices of Harvard Vanguard Medical Associates from August 2011 through August 2012. We used eight geographic information system (GIS) variables to characterize walkable built environments. Outcomes were BMI z-score at the most recent visit and BMI z-score change from the earliest available (2008–2011) to the most recent (2011–2012) visit. Multivariable models were adjusted for child age, sex, race/ethnicity, and neighborhood median household income. Results: In multivariable cross-sectional models, living in closer proximity to recreational open space was associated with lower BMI z-score. For example, children who lived in closest proximity (quartile 1) to the nearest recreational open space had a lower BMI z-score (β = –0.06; 95% CI: –0.08, –0.03) compared with those living farthest away (quartile 4; reference). Living in neighborhoods with fewer recreational open spaces and less residential density, traffic density, sidewalk completeness, and intersection density were associated with higher cross-sectional BMI z-score and with an increase in BMI z-score over time. Conclusions: Overall, built environment characteristics that may increase walkability were associated with lower BMI z-scores in a large sample of children. Modifying existing built environments to make them more walkable may reduce childhood obesity. Citation: Duncan DT, Sharifi M, Melly SJ, Marshall R, Sequist TD, Rifas-Shiman SL, Taveras EM. 2014. Characteristics of walkable built environments and BMI z-scores in children: evidence from a large electronic health record database. Environ Health Perspect 122:1359–1365; http://dx.doi.org/10.1289/ehp.1307704

Geosocial-networking smartphone applications (“apps”) are widely used by gay, bisexual, and other men who have sex with men (MSM) and facilitate connections between users based on proximity and attraction. MSM have sexual encounters and relationships of varying degrees of emotional and physical intimacy with app-met individuals, potentially placing them at risk for intimate partner violence (IPV). The purpose of the current study was to utilize a geosocial-networking application to investigate relationships between experiences of IPV victimization as it relates to substance use and sexual risk behaviors in a sample of MSM. Participants (n = 175) were recruited by means of broadcast advertisements on an application widely used by MSM (Grindr) to seek sexual partners. Multivariable regression models were fit to examine associations between IPV, substance abuse, and sexual risk behaviors. Lifetime experiences of IPV victimization were common, where 37.7% of respondents reported having experienced at least one form of IPV. While a marginally significant positive association between IPV and substance abuse was detected in multivariable models (p = .095), individual forms of IPV were strongly associated with substance abuse. For example, sexual IPV victimization was associated with an increase in substance abuse in the preceding month (p = .004). Experiences of IPV victimization were associated with higher numbers of partners for both condomless receptive and insertive anal intercourse (p < .05). Given the relatively high prevalence of IPV victimization and its associations with substance abuse and sexual risk behaviors, these findings suggest that IPV screening and prevention programs may reduce substance abuse and sexual risk behaviors in this population.