{"title":"秘鲁成年人高海拔地区体脂定义性肥胖患病率较低。","authors":"Orison O Woolcott, Till Seuring, Oscar A Castillo","doi":"10.1089/ham.2022.0097","DOIUrl":null,"url":null,"abstract":"<p><p>Woolcott, Orison O., Till Seuring, and Oscar A. Castillo. Lower prevalence of body fat-defined obesity at higher altitudes in Peruvian adults. <i>High Alt Med Biol</i>. 24:214-222, 2023. <b><i>Background:</i></b> Previous studies have reported a lower prevalence of obesity (defined as a body mass index [BMI] ≥30 kg/m<sup>2</sup>) in populations from higher altitudes. Since BMI does not distinguish fat mass and fat-free mass, it is unclear whether there is an inverse association between altitude and body fat-defined obesity. <b><i>Methods:</i></b> We performed an analysis of cross-sectional data to examine the association between altitude and body fat-defined obesity (as opposed to BMI-defined obesity) using individual-level data from a nationally representative sample of the Peruvian adult population living between 0 and 5,400 m altitude. Body fat-defined obesity was diagnosed using the relative fat mass (RFM), an anthropometric index validated to estimate whole-body fat percentage. RFM cutoffs for obesity diagnosis were ≥40% for women and ≥30% for men. We utilized Poisson regression to estimate the prevalence ratio and confidence intervals (CIs) as the measure of the association, adjusting for age, cigarette use, and diabetes. <b><i>Results:</i></b> Analysis comprised 36,727 individuals (median age, 39 years; 50.1% women). In rural areas, for a one-km increase in altitude, the prevalence of body fat-defined obesity decreased by 12% among women (adjusted prevalence ratio: 0.88; 95% CI, 0.86 - 0.90; <i>p</i> < 0.001) and 19% among men (adjusted prevalence ratio: 0.81; 95% CI, 0.77 - 0.86; <i>p</i> < 0.001), on average, when all the other variables were held constant. The inverse association between altitude and obesity was less strong in urban areas than in rural areas but remained significant among women (<i>p</i> = 0.001) and men (<i>p</i> < 0.001). However, the relationship between altitude and obesity in women who live in urban areas appears to be nonlinear. <b><i>Conclusions:</i></b> In Peruvian adults, the prevalence of body fat-defined obesity was inversely associated with altitude. Whether this inverse association is explained by altitude <i>per se</i> or confounded by socioeconomic or other environmental factors, or differences in race/ethnicity or lifestyle, warrants further investigation.</p>","PeriodicalId":12975,"journal":{"name":"High altitude medicine & biology","volume":"24 3","pages":"214-222"},"PeriodicalIF":1.6000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Lower Prevalence of Body Fat-Defined Obesity at Higher Altitudes in Peruvian Adults.\",\"authors\":\"Orison O Woolcott, Till Seuring, Oscar A Castillo\",\"doi\":\"10.1089/ham.2022.0097\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Woolcott, Orison O., Till Seuring, and Oscar A. Castillo. Lower prevalence of body fat-defined obesity at higher altitudes in Peruvian adults. <i>High Alt Med Biol</i>. 24:214-222, 2023. <b><i>Background:</i></b> Previous studies have reported a lower prevalence of obesity (defined as a body mass index [BMI] ≥30 kg/m<sup>2</sup>) in populations from higher altitudes. Since BMI does not distinguish fat mass and fat-free mass, it is unclear whether there is an inverse association between altitude and body fat-defined obesity. <b><i>Methods:</i></b> We performed an analysis of cross-sectional data to examine the association between altitude and body fat-defined obesity (as opposed to BMI-defined obesity) using individual-level data from a nationally representative sample of the Peruvian adult population living between 0 and 5,400 m altitude. Body fat-defined obesity was diagnosed using the relative fat mass (RFM), an anthropometric index validated to estimate whole-body fat percentage. RFM cutoffs for obesity diagnosis were ≥40% for women and ≥30% for men. We utilized Poisson regression to estimate the prevalence ratio and confidence intervals (CIs) as the measure of the association, adjusting for age, cigarette use, and diabetes. <b><i>Results:</i></b> Analysis comprised 36,727 individuals (median age, 39 years; 50.1% women). In rural areas, for a one-km increase in altitude, the prevalence of body fat-defined obesity decreased by 12% among women (adjusted prevalence ratio: 0.88; 95% CI, 0.86 - 0.90; <i>p</i> < 0.001) and 19% among men (adjusted prevalence ratio: 0.81; 95% CI, 0.77 - 0.86; <i>p</i> < 0.001), on average, when all the other variables were held constant. The inverse association between altitude and obesity was less strong in urban areas than in rural areas but remained significant among women (<i>p</i> = 0.001) and men (<i>p</i> < 0.001). However, the relationship between altitude and obesity in women who live in urban areas appears to be nonlinear. <b><i>Conclusions:</i></b> In Peruvian adults, the prevalence of body fat-defined obesity was inversely associated with altitude. Whether this inverse association is explained by altitude <i>per se</i> or confounded by socioeconomic or other environmental factors, or differences in race/ethnicity or lifestyle, warrants further investigation.</p>\",\"PeriodicalId\":12975,\"journal\":{\"name\":\"High altitude medicine & biology\",\"volume\":\"24 3\",\"pages\":\"214-222\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2023-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"High altitude medicine & biology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1089/ham.2022.0097\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/6/15 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q4\",\"JCRName\":\"BIOPHYSICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"High altitude medicine & biology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1089/ham.2022.0097","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/6/15 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"BIOPHYSICS","Score":null,"Total":0}
引用次数: 0
摘要
伍尔科特、奥、蒂尔·修林和奥斯卡·A·卡斯蒂略。在秘鲁高海拔地区,体脂患病率较低是肥胖的原因。High Alt-Med Biol.24:214-222023。背景:先前的研究报告称,肥胖的患病率较低(定义为体重指数[BMI]≥30 kg/m2)。由于BMI不能区分脂肪量和无脂肪量,目前尚不清楚海拔高度和体脂定义的肥胖之间是否存在反向关联。方法:我们对横断面数据进行了分析,以检查海拔高度与体脂定义的肥胖(而不是BMI定义的肥胖)之间的关系,使用来自秘鲁0至5400岁成年人口的全国代表性样本的个人水平数据 m海拔。使用相对脂肪质量(RFM)来诊断体脂定义的肥胖,RFM是一种用于估计全身脂肪百分比的人体测量指数。女性诊断肥胖的RFM临界值≥40%,男性≥30%。我们使用泊松回归来估计患病率和置信区间(CI),作为相关性的衡量标准,并根据年龄、吸烟和糖尿病进行调整。结果:分析包括36727人(中位年龄39岁;50.1%为女性)。在农村地区,海拔高度增加1公里,女性体脂定义的肥胖患病率下降了12%(调整后的患病率:0.88;95%置信区间,0.86 - 0.90;p p p = 0.001)和男性(p 结论:在秘鲁成年人中,体脂定义的肥胖的患病率与海拔高度呈负相关。这种反向关联是由海拔本身解释的,还是由社会经济或其他环境因素,或种族/民族或生活方式的差异混淆的,需要进一步调查。
Lower Prevalence of Body Fat-Defined Obesity at Higher Altitudes in Peruvian Adults.
Woolcott, Orison O., Till Seuring, and Oscar A. Castillo. Lower prevalence of body fat-defined obesity at higher altitudes in Peruvian adults. High Alt Med Biol. 24:214-222, 2023. Background: Previous studies have reported a lower prevalence of obesity (defined as a body mass index [BMI] ≥30 kg/m2) in populations from higher altitudes. Since BMI does not distinguish fat mass and fat-free mass, it is unclear whether there is an inverse association between altitude and body fat-defined obesity. Methods: We performed an analysis of cross-sectional data to examine the association between altitude and body fat-defined obesity (as opposed to BMI-defined obesity) using individual-level data from a nationally representative sample of the Peruvian adult population living between 0 and 5,400 m altitude. Body fat-defined obesity was diagnosed using the relative fat mass (RFM), an anthropometric index validated to estimate whole-body fat percentage. RFM cutoffs for obesity diagnosis were ≥40% for women and ≥30% for men. We utilized Poisson regression to estimate the prevalence ratio and confidence intervals (CIs) as the measure of the association, adjusting for age, cigarette use, and diabetes. Results: Analysis comprised 36,727 individuals (median age, 39 years; 50.1% women). In rural areas, for a one-km increase in altitude, the prevalence of body fat-defined obesity decreased by 12% among women (adjusted prevalence ratio: 0.88; 95% CI, 0.86 - 0.90; p < 0.001) and 19% among men (adjusted prevalence ratio: 0.81; 95% CI, 0.77 - 0.86; p < 0.001), on average, when all the other variables were held constant. The inverse association between altitude and obesity was less strong in urban areas than in rural areas but remained significant among women (p = 0.001) and men (p < 0.001). However, the relationship between altitude and obesity in women who live in urban areas appears to be nonlinear. Conclusions: In Peruvian adults, the prevalence of body fat-defined obesity was inversely associated with altitude. Whether this inverse association is explained by altitude per se or confounded by socioeconomic or other environmental factors, or differences in race/ethnicity or lifestyle, warrants further investigation.
期刊介绍:
High Altitude Medicine & Biology is the only peer-reviewed journal covering the medical and biological issues that impact human life at high altitudes. The Journal delivers critical findings on the impact of high altitude on lung and heart disease, appetite and weight loss, pulmonary and cerebral edema, hypertension, dehydration, infertility, and other diseases. It covers the full spectrum of high altitude life sciences from pathology to human and animal ecology.