Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2018 Dec 14;8(12):e021952.
doi: 10.1136/bmjopen-2018-021952.

Neighbourhood characteristics and cumulative biological risk: evidence from the Jamaica Health and Lifestyle Survey 2008: a cross-sectional study

Affiliations

Neighbourhood characteristics and cumulative biological risk: evidence from the Jamaica Health and Lifestyle Survey 2008: a cross-sectional study

Colette Andrea Cunningham-Myrie et al. BMJ Open. .

Abstract

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.

Keywords: cumulative biological risk; developing country; neighbourhoods; women.

PubMed Disclaimer

Conflict of interest statement

Competing interests: None declared.

Figures

Figure 1
Figure 1
Proportion of high cumulative biological risk (CBR)† score by age and sex. †High CBR was defined as at least 1 SD above the mean score. *P<0.01 and **p<0.001 comparing sex differences within each age group.
Figure 2
Figure 2
Neighbourhood clustering (intraclass correlation coefficient [ICC] %) of high cumulative biological risk (CBR)* by individual biomarkers** and sex. CBR, cumulative biological risk; DBP, diastolic blood pressure; SBP, systolic blood pressure; WC, waist circumference; TC, total cholesterol; FBG, fasting blood glucose; BMI, body mass index. *High CBR was defined as at least one SD above the mean score. **Individual biomarkers were included based on high risk cut-points: Self-reported asthma, DBP > 85 mm Hg, SBP > 130 mm Hg, WC > 85 mm Hg, TC > 5.7 mM/L, FBG ≥ 110 mg/dL and BMI ≥ 25 kg/m2; for youth <18 years old high-risk cut-points used were > one SD above the mean for their age and sex or ≥ the adult high risk cut-point value, except for SBP and DBP, with high risk cut-points defined as being greater than or equal to the 94th percentile for age, sex and BMI.

Similar articles

Cited by

References

    1. Beaglehole R, Bonita R, Horton R, et al. . Priority actions for the non-communicable disease crisis. Lancet 2011;377:1438–47. 10.1016/S0140-6736(11)60393-0 - DOI - PubMed
    1. McEwen BS, Stellar E. Stress and the individual. Mechanisms leading to disease. Arch Intern Med 1993;153:2093–101. - PubMed
    1. McEwen BS. Protective and damaging effects of stress mediators. N Engl J Med 1998;338:171–9. 10.1056/NEJM199801153380307 - DOI - PubMed
    1. Geronimus AT, Hicken M, Keene D, et al. . "Weathering" and age patterns of allostatic load scores among blacks and whites in the United States. Am J Public Health 2006;96:826–33. 10.2105/AJPH.2004.060749 - DOI - PMC - PubMed
    1. Borrell LN, Dallo FJ, Nguyen N. Racial/ethnic disparities in all-cause mortality in U.S. adults: the effect of allostatic load. Public Health Rep 2010;125:810–6. 10.1177/003335491012500608 - DOI - PMC - PubMed

Publication types

LinkOut - more resources