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Clinical Trial
. 2018 Jun 4;8(1):8515.
doi: 10.1038/s41598-018-26991-4.

Quantile regression analysis of modifiable and non-modifiable drivers' of blood pressure among urban and rural women in Ghana

Affiliations
Clinical Trial

Quantile regression analysis of modifiable and non-modifiable drivers' of blood pressure among urban and rural women in Ghana

Dickson A Amugsi et al. Sci Rep. .

Abstract

High blood pressure is an increasingly problematic public health concern in many developing countries due to the associated cardiovascular and renal complications. This study set out to investigate the drivers of blood pressure among urban and rural women using the 2014 Ghana Demographic and Health Survey data. Diastolic blood pressure (DBP) and systolic blood pressure (SBP) were the outcomes of interest. Our findings showed that body mass index (BMI) had a significant positive effect on DBP and SBP in both urban and rural settings, with the largest effect occurring among women in the 75th quantile. Arm circumference also had a positive effect on DBP and SBP across all quantiles in both settings. Age had an increasing positive effect along the entire conditional DBP and SBP distribution in both settings. Women who were pregnant had lower DBP and SBP relative to those who were not pregnant in both settings. These results highlight the important drivers of DBP and SBP, and the differential effects of these drivers on blood pressure (BP) among women in urban and rural settings. To increase their effectiveness, interventions to address high BP should take into account these differential effects.

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Conflict of interest statement

The authors declare no competing interests.

References

    1. Nichols, S. R. & Elliott, P. Hypertension. In: Murray, C. J. L. & Lopez, A. D. editors. Quantifying Global Health Risks: the Burden of Disease Attributable to Selected Risk Factors (Cambridge, Massachusetts: Harvard University Press, 1996).
    1. Li WLL, et al. Hypertension and health-related quality of life: an epidemiological study in patients attending hospital clinics in China. J. Hypertens. 2005;23:1667–76. doi: 10.1097/01.hjh.0000174971.64589.39. - DOI - PubMed
    1. SarrafZadegan N, AminiNik S. Blood pressure pattern in urban and rural areas in Isfahan, Iran. J. Hum. Hypertens. 1997;11:425–8. doi: 10.1038/sj.jhh.1000448. - DOI - PubMed
    1. Okayama A, Kadowaki T, Okamura T, Hayakawa T, Ueshima H. NIPPON DATA80 Research Group. Age-specific effects of systolic and diastolic blood pressures on mortality due to cardiovascular diseases among Japanese men (NIPPON DATA80) J. Hypertens. 2006;24:459–62. doi: 10.1097/01.hjh.0000209981.43983.cf. - DOI - PubMed
    1. Smith LB, Fuentes M, Gordon-Larsen P, Reich BJ. quantile regression for mixed models with an application to examine blood pressure trends in china. Ann. Appl. Stat. 2015;9:1226–46. doi: 10.1214/15-AOAS841. - DOI - PMC - PubMed

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