ArticleAnnals of epidemiology2016
The spatial distribution of gender differences in obesity prevalence differs from overall obesity prevalence among US adults.
Article in Annals of epidemiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
19 citing papers in PubMed.
- Reflecting on power: the inadequacies of small sample size technique through the lens of Indigenous health.American journal of epidemiology · 2025Article
- National-level and state-level prevalence of overweight and obesity among children, adolescents, and adults in the USA, 1990-2021, and forecasts up to 2050.Lancet (London, England) · 2024Article
- Article
- Identifying obesogenic environment through spatial clustering of body mass index among adults.International journal of health geographics · 2024Article
- A Hypothesis Test for Detecting Distance-Specific Clustering and Dispersion in Areal Data.Spatial statistics · 2023Article
- Primary care provider uptake of intensive behavioral therapy for obesity in Medicare patients, 2013-2019.PloS one · 2023Article
- Estimates of Childhood Overweight and Obesity at the Region, State, and County Levels: A Multilevel Small-Area Estimation Approach.American journal of epidemiology · 2021Article
- The main factors influencing COVID-19 spread and deaths in Mexico: A comparison between phases I and II.Applied geography (Sevenoaks, England) · 2021Article
- Considering Sex as a Biological Variable in Basic and Clinical Studies: An Endocrine Society Scientific Statement.Endocrine reviews · 2021Article
- Geographic patterns and socioeconomic differences in the nutritional quality of household packaged food purchases in the United States.Health & place · 2021Article
- Targeting the spatial context of obesity determinants via multiscale geographically weighted regression.International journal of health geographics · 2020Article
- History of early life adversity is associated with increased food addiction and sex-specific alterations in reward network connectivity in obesity.Obesity science & practice · 2019Article
- Spatial clustering patterns of child weight status in a southeastern US county.Applied geography (Sevenoaks, England) · 2018Article
- Limiting feeding to the active phase reduces blood pressure without the necessity of caloric reduction or fat mass loss.American journal of physiology. Regulatory, integrative and comparative physiology · 2018Article
- Obesity among Women in Turkey.Iranian journal of public health · 2018Article
- Gender Difference and Spatial Heterogeneity in Local Obesity.International journal of environmental research and public health · 2018Article
- Sex Commonalities and Differences in Obesity-Related Alterations in Intrinsic Brain Activity and Connectivity.Obesity (Silver Spring, Md.) · 2018Article
- Mapping mHealth (mobile health) and mobile penetrations in sub-Saharan Africa for strategic regional collaboration in mHealth scale-up: an application of exploratory spatial data analysis.Globalization and health · 2017Article
- Articular chondrocyte alignment in the rat after surgically induced osteoarthritis.Journal of physical therapy science · 2017Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
purposeAlthough obesity disparities between racial and socioeconomic groups have been well characterized, those based on gender and geography have not been as thoroughly documented. This study describes obesity prevalence by state, gender, and race and/or ethnicity to (1) characterize obesity gender inequality, (2) determine if the geographic distribution of inequality is spatially clustered, and (3) contrast the spatial clustering patterns of obesity gender inequality with overall obesity prevalence.
methodsData from the Centers for Disease Control and Prevention's 2013 Behavioral Risk Factor Surveillance System were used to calculate state-specific obesity prevalence and gender inequality measures. Global and local Moran's indices were calculated to determine spatial autocorrelation.
resultsAge-adjusted, state-specific obesity prevalence difference and ratio measures show spatial autocorrelation (z-score = 4.89, P-value < .001). Local Moran's indices indicate the spatial distributions of obesity prevalence and obesity gender inequalities are not the same. High and low values of obesity prevalence and gender inequalities cluster in different areas of the United States.
conclusionsClustering of gender inequality suggests that spatial processes operating at the state level, such as occupational or physical activity policies or social norms, are involved in the etiology of the inequality and necessitate further attention to the determinates of obesity gender inequality.
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