Sivanantham Parthibane, Sahoo Jaya Prakash, Lakshminarayanan Subitha, Bobby Zachariah, Kar Sitanshu Sekhar
Department of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India.
Department of Endocrinology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India.
Fam Pract. 2023 Mar 28;40(2):282-289. doi: 10.1093/fampra/cmac082.
Abdominal obesities are better markers for predicting cardiovascular abnormalities than risk stratification based only on body mass index (BMI). We aimed to estimate the prevalence of abdominal adiposities using predictive equations for Asian Indian adults and to determine the prevalence of metabolically healthy subjects among those overweight/obese and with normal BMI.
A community-based survey was conducted among those aged 18-69 years in the district of Puducherry between February 2019 and February 2020. We surveyed 2,560 individuals selected through multi-stage cluster random sampling from urban and rural areas (50 wards and 50 villages, respectively) of the district. Anthropometric measurements, such as height, weight, waist circumference, and blood pressure were recorded from each participant. Fasting blood sample was collected from each alternate participant to estimate metabolic risk factors.
Over four-fifths (85.6%; 95% CI: 84.2-86.9) and two-thirds (69.7%; 95% CI: 67.9-71.6) of the population in the district had high levels of intra-abdominal adipose tissue (IAAT) and total abdominal fat (TAF), respectively. Both the risk factors were significantly higher among women and urban population. About 43% (95% CI: 41-44.9) of the population had high abdominal subcutaneous adipose tissue (SCAT) with a significantly higher prevalence among the urban population. Among those overweight/obese (n = 773), almost all 99.4% (95% CI: 98.7-99.9) were metabolically unhealthy. Among subjects with normal BMI (n = 314), only about 2.9% (95% CI: 1.3-4.8) were metabolically healthy.
We highlight the substantially high prevalence of IAAT, TAF, and SCAT in the district of Puducherry. Almost all the study population was metabolically unhealthy irrespective of their BMI levels.
与仅基于体重指数(BMI)的风险分层相比,腹部肥胖是预测心血管异常的更好指标。我们旨在使用针对亚洲印度成年人的预测方程来估计腹部肥胖的患病率,并确定超重/肥胖以及BMI正常者中代谢健康受试者的患病率。
2019年2月至2020年2月期间,在本地治里地区对18 - 69岁的人群进行了一项基于社区的调查。我们通过多阶段整群随机抽样从该地区的城市和农村地区(分别为50个病房和50个村庄)选取了2560名个体。记录了每位参与者的身高、体重、腰围和血压等人体测量数据。每隔一名参与者采集空腹血样以评估代谢危险因素。
该地区超过五分之四(85.6%;95%置信区间:84.2 - 86.9)和三分之二(69.7%;95%置信区间:67.9 - 71.6)的人群分别具有高水平的腹内脂肪组织(IAAT)和总腹部脂肪(TAF)。这两个危险因素在女性和城市人群中显著更高。约43%(95%置信区间:41 - 44.9)的人群具有高水平的腹部皮下脂肪组织(SCAT),在城市人群中的患病率显著更高。在超重/肥胖者(n = 773)中,几乎所有99.4%(95%置信区间:98.7 - 99.9)代谢不健康。在BMI正常的受试者(n = 314)中,只有约2.9%(95%置信区间:1.3 - 4.8)代谢健康。
我们强调本地治里地区IAAT、TAF和SCAT的患病率极高。几乎所有研究人群无论其BMI水平如何,代谢都不健康。