Babu Giridhara R, Murthy G V S, Ana Yamuna, Patel Prital, Deepa R, Neelon Sara E Benjamin, Kinra Sanjay, Reddy K Srinath
Public Health Foundation of India, IIPH-H, Bangalore Campus, SIHFW Premises, Beside Leprosy Hospital, Bangalore 560023, India.
Indian Institute of Public Health-Hyderabad, Plot # 1, A.N.V.Arcade, Amar Co-op Society, Kavuri Hills, Madhapur, Hyderabad 500033, India.
World J Diabetes. 2018 Jan 15;9(1):40-52. doi: 10.4239/wjd.v9.i1.40.
To perform a meta-analysis of the association of obesity with hypertension and type 2 diabetes mellitus (T2DM) in India among adults.
To conduct meta-analysis, we performed comprehensive, electronic literature search in the PubMed, CINAHL Plus, and Google Scholar. We restricted the analysis to studies with documentation of some measure of obesity namely; body mass index, waist-hip ratio, waist circumference and diagnosis of hypertension or diagnosis of T2DM. By obtaining summary estimates of all included studies, the meta-analysis was performed using both RevMan version 5 and "metan" command STATA version 11. Heterogeneity was measured by statistic. Funnel plot analysis has been done to assess the study publication bias.
Of the 956 studies screened, 18 met the eligibility criteria. The pooled odds ratio between obesity and hypertension was 3.82 (95%CI: 3.39 to 4.25). The heterogeneity around this estimate (I2 statistic) was 0%, indicating low variability. The pooled odds ratio from the included studies showed a statistically significant association between obesity and T2DM (OR = 1.14, 95%CI: 1.04 to 1.24) with a high degree of variability.
Despite methodological differences, obesity showed significant, potentially plausible association with hypertension and T2DM in studies conducted in India. Being a modifiable risk factor, our study informs setting policy priority and intervention efforts to prevent debilitating complications.
对印度成年人中肥胖与高血压及2型糖尿病(T2DM)之间的关联进行荟萃分析。
为进行荟萃分析,我们在PubMed、CINAHL Plus和谷歌学术上进行了全面的电子文献检索。我们将分析限制在记录了某种肥胖测量指标的研究,即体重指数、腰臀比、腰围以及高血压诊断或T2DM诊断。通过获取所有纳入研究的汇总估计值,使用RevMan 5版和STATA 11版的“metan”命令进行荟萃分析。用I²统计量测量异质性。已进行漏斗图分析以评估研究发表偏倚。
在筛选的956项研究中,18项符合纳入标准。肥胖与高血压之间的合并比值比为3.82(95%置信区间:3.39至4.25)。该估计值周围的异质性(I²统计量)为0%,表明变异性低。纳入研究的合并比值比显示肥胖与T2DM之间存在统计学显著关联(OR = 1.14,95%置信区间:1.04至1.24),且变异性高。
尽管存在方法学差异,但在印度进行的研究中,肥胖与高血压和T2DM之间显示出显著的、可能合理的关联。作为一个可改变的风险因素,我们的研究为制定政策重点和预防使人衰弱的并发症的干预措施提供了依据。