Anthropometric determinants of blood pressure changes in a community sample of adults in Sokoto, northwest Nigeria

AJ Bamaiyi, H. Umar, H. Madaki, M. Musa, A. Usman
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Abstract

Objective: To determine the predictability of rise in Blood Pressure (BP) parameters, by the various components of excessive weight gain, in a population-based sample of adults in Sokoto, Nigeria. Design:  A cross-sectional descriptive study carried out on a community sample of adults attending a free medical screening. Setting:  An open-space free medical service carried out in a Sokoto community. Subjects:   All consenting, non-pregnant adults that participated in the event were included. Main Outcome Measures:  Stepwise multivariate regression analysis was applied to determine the variability strengths of body weight, height, Body Mass Index (BMI), Lean Body Mass (LBM) and Body Fat (BF), on Systolic BP (SP), Diastolic BP (DP), Pulse Pressure (PP), Mean Arterial Pressure (MAP) and Pulse Rate (PR). Slope of the relationship between dependent and independent variables were also determined. Results: BF was a more consistent influencer of BP rise beyond other anthropometric parameters. BF versus SP and MAP are respectively; β-coefficient =0.357, CI =0.264  1.162, p=.002 and β-coefficient = 0.455, CI =0.324  0.890, p=.000. The influence of BMI on DP was β-coefficient =0.457, CI =0.564  1.555, p=.000 and influence of body weight on PR was β-coefficient =0.270, CI = 0.037  0.471, p=.023. Conclusion: To assess the risk of excess weight gain on BP elevation, the BF component of body weight or BMI be given more attention and should be part of the targets of lifestyle modifications aimed at controlling hypertension and forestalling its complications.
尼日利亚西北部索科托成人社区样本中血压变化的人体测量决定因素
目的:在尼日利亚索科托的一个基于人群的成人样本中,通过体重过度增加的各种成分来确定血压(BP)参数升高的可预测性。设计:一项横断面描述性研究,以参加免费医疗筛查的成年人为社区样本。背景:在索科托社区开展的开放空间免费医疗服务。受试者:包括所有同意参加该活动的未怀孕成年人。主要结果指标:采用逐步多元回归分析来确定体重、身高、体重指数(BMI)、瘦体重(LBM)和体脂(BF)、收缩压(SP)、舒张压(DP)、脉压(PP)、平均动脉压(MAP)和脉率(PR)的变异强度。还确定了因变量和自变量之间关系的斜率。结果:BF对血压升高的影响比其他人体测量参数更为一致。BF与SP和MAP分别为;β-系数=0.357,CI=0.264 1.162,p=.002,β-系数=0.455,CI=0.324 0.890,p=.000。BMI对DP的影响为β系数=0.457,CI=0.564,1.555,p=0.000;体重对PR的影响为α系数=0.270,CI=0.037,0.471,p=0.023。结论:为了评估血压升高时体重增加过多的风险,应更多地关注体重或BMI的BF成分,并应将其作为生活方式改变的目标之一,以控制高血压并预防其并发症。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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