Objective: To examine whether neighbourhood characteristics are associated with cumulative biological risk (CBR) and sex differences in CBR in a nationally representative sample in Jamaica, a small island developing country with increasing prevalence of non-communicable diseases (NCDs).
Design: Cross-sectional study SETTING: A population-based cross-sectional survey, the Jamaica Health and Lifestyle Survey 2008 (JHLS II) recruited persons at their homes over a 4 month period from all 14 parishes and 113 neighbourhoods defined as enumeration districts (EDs).
Participants: 2544 persons aged 15-74 years old from the 2008 Jamaica Health and Lifestyle Survey (JHLS II), who completed interviewer-administered questionnaires and had biomarkers assessed, and whose home addresses could be reliably geocoded.
Primary Outcome: A summary measure CBR was created using seven markers-systolic and diastolic blood pressure readings, waist circumference, body mass index, total cholesterol, fasting blood glucose levels and self-reported asthma. Weighted multilevel models examined clustering, using the intraclass correlation coefficient (ICC), of CBR across neighbourhoods and the impact of neighbourhood characteristics (recreational space availability and neighbourhood disorder) on CBR.
Results: Women had significantly higher mean CBR scores than men across all age groups. There was significant clustering of CBR by ED, and among women versus men (ICC: F=6.9%, M=0.7%). Women living in more disordered neighbourhoods were 26% more likely to have high CBR as those in less disordered ones (aOR=1.26, 95% CI=1.08 to 1.47; p<0.05). Individuals living in EDs with greater recreational space availability were 25% less likely to have a high CBR (aOR=0.75, 95% CI=0.64 to 0.90; p<0.05).
Conclusions: Policy-makers in Jamaica should pay greater attention to neighbourhood factors such as recreational space availability and neighbourhood disorder that may contribute to CBR in any effort to curtail the epidemic of NCDs.
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http://dx.doi.org/10.1136/bmjopen-2018-021952 | DOI Listing |
Health Place
December 2024
University of South Carolina,United States.
Despite a large body of work on neighborhood effects on health, past studies are limited in their treatment of neighborhoods as largely static spaces with (dis)advantages based primarily on the average characteristics of their residents. In this study, we draw on the triple neighborhood disadvantage perspective to explore how socioeconomic disadvantage in a neighborhood's mobility network uniquely relates to children's overall health levels, independent of residential disadvantage. We investigate this by combining 2019 SafeGraph data on mobility patterns from roughly 40 million U.
View Article and Find Full Text PDFBiomimetics (Basel)
November 2024
National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China.
With the increasing number of space debris, the demand for telescopes to observe space debris is also constantly increasing. The telescope observation scheduling problem requires algorithms to schedule telescopes to maximize observation value within the visible time constraints of space debris, especially when dealing with large-scale problems. This paper proposes a practical heuristic algorithm to solve the telescope observation of space debris scheduling problem.
View Article and Find Full Text PDFAm J Prev Med
December 2024
Peter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX; Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX.
Introduction: To examine the associations of neighborhood socioeconomic status (nSES), ethnic enclaves, residential Black segregation with screening for breast, cervical and colorectal (CRC) cancers across the state of Texas (TX).
Methods: Using an ecologic study design, spatial clustering of low breast, cervical and CRC screening rates were identified across TX census tracts using local Moran's I statistics. Binomial spatial probit regression was used to estimate the associations between nSES, Hispanic/Latino and Asian American (AA) ethnic enclave neighborhoods and residential Black segregation with geospatial clusters of low screening, adjusting for behavioral characteristics.
Asia Pac J Public Health
December 2024
University Center for Research and Development, Chandigarh University, Mohali, India.
Gestational diabetes mellitus (GDM) is a major global health concern, affecting maternal and child health. Although genetic predispositions and individual medical histories are well-recognized risk factors, emerging research suggests a significant impact of external factors like neighborhood socioeconomic characteristics. This study systematically reviews and meta-analyzes the association between neighborhood deprivation and GDM incidence.
View Article and Find Full Text PDFJ Infect Dis
December 2024
Public Health Ontario, Toronto, ON, Canada.
Background: Socio-economic status (SES) is an important determinant of severe respiratory infections. Despite being a leading cause of hospitalization, limited attention has been given to social inequities in respiratory syncytial virus (RSV), particularly outside of childhood and beyond neighbourhood-level measures. This study aimed to quantify the burden of severe RSV disease across the age continuum by individual-level SES indicators.
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