Advance Search
Volume 38 Issue 5
May  2022
Turn off MathJax
Article Contents
JING Hui, TENG Yu-xin, Samuel Steven Chacha, . Epidemiological characteristics of metabolic phenotypic heterogeneity in adults with obesity in Shaanxi province[J]. Chinese Journal of Public Health, 2022, 38(5): 610-613. doi: 10.11847/zgggws1136326
Citation: JING Hui, TENG Yu-xin, Samuel Steven Chacha, . Epidemiological characteristics of metabolic phenotypic heterogeneity in adults with obesity in Shaanxi province[J]. Chinese Journal of Public Health, 2022, 38(5): 610-613. doi: 10.11847/zgggws1136326

Epidemiological characteristics of metabolic phenotypic heterogeneity in adults with obesity in Shaanxi province

doi: 10.11847/zgggws1136326
  • Received Date: 2021-07-23
    Available Online: 2022-04-29
  • Publish Date: 2022-05-20
  •   Objective  To examine epidemic characteristics of obesity metabolic phenotype heterogeneity among urban adults in Shaanxi province, and to provide evidences for individualy stratified identification and classification management of obesity metabolic phenotype.   Methods  Data on 13 072 urban adults aged 20 – 89 years without major diseases were collected from Shaanxi Urban Cohort Baseline Survey of Natural Population Cohort Study in Northwest China conducted from 2017 to 2019. According to the status of obesity and metabolic abnormality, the adults were further divided into four subgroups of metabolic healthy non-obesity (MHNO), metabolic unhealthy non-obesity (MUNO), metabolic healthy obesity (MHO) and metabolic unhealthy obesity (MUO), and the heterogeneity and epidemiological characteristics of different obesity metabolic phenotype groups were analyzed.   Results  Of all the adults, the majority (66.55%, 8 700) were with MHNO, followed by those with MUNO (22.56%, 2 949), MHO (4.09%, 535) and MUO (6.79%, 888). For the male adults, the proportion of MHNO, MUNO, MHO and MUO population was 55.8%, 27.9%, 6.1% and 10.2%, respectively; the metabolic phenotype of obesity changed with age (χ2trend = 9.143, Ptrend = 0.002), with the proportion of MUNO increasing with the increase of age (χ2trend = 217.096, Ptrend < 0.001) and the proportions of NHNO and MHO decreasing with the increase of age (both Ptrend < 0.001). For the female adults, the proportion of MHNO, MUNO, MHO and MUO were 55.8%, 27.9%, 4.09% and 6.79%, and the proportion also changed with age (χ2trend = 486.235, Ptrend < 0.001); the proportion of MUNO, MHO and MUO increased with the increase of age (Ptrend < 0.05 all) but the proportion of MHNO decreased with the increase of age (χ2trend = 738.600, Ptrend < 0.001). When the obesity standard changed from body mass index (BMI) ≥ 28.0 to BMI ≥ 25.0, the proportion of MHO increased from 4.09% to 16.06%; when the metabolic abnormality criterion changed from ≥ 2 to ≥ 0, the proportion of MHO decreased from 4.09% to 1.02%.   Conclusion  The metabolic heterogeneity of obesity exists obviously among urban adults in Shaanxi province; the proportion of the adults with obesity but normal metabolism is low, while the metabolic abnormality is prominent in obese adults.
  • loading
  • [1]
    Malik VS, Willett WC, Hu FB. Global obesity: trends, risk factors and policy implications[J]. Nat Rev Endocrinol, 2013, 9(1): 13 – 27. doi: 10.1038/nrendo.2012.199
    [2]
    Puhl R, Suh Y. Health consequences of weight stigma: implications for obesity prevention and treatment[J]. Curr Obesity Rep, 2015, 4(2): 182 – 190. doi: 10.1007/s13679-015-0153-z
    [3]
    Mi YJ, Zhang B, Wang HJ, et al. Prevalence and secular trends in obesity among Chinese adults, 1991 – 2011[J]. Am J Prev Med, 2015, 49(5): 661 – 669. doi: 10.1016/j.amepre.2015.05.005
    [4]
    The GBD 2015 Obesity Collaborators. Health effects of overweight and obesity in 195 countries over 25 years[J]. N Engl J Med, 2017, 377(1): 13 – 27. doi: 10.1056/NEJMoa1614362
    [5]
    NCD Risk Factor Collaboration (NCD-RisC). Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19·2 million participants[J]. Lancet, 2016, 387(10026): 1377 – 1396. doi: 10.1016/S0140-6736(16)30054-X
    [6]
    Wang Y, Pan L, Wan SP, et al. Increasing prevalence of overweight and obesity in Yi farmers and migrants from 2007 to 2015 in China: the Yi migrant study[J]. BMC Public Health, 2018, 18: 659. doi: 10.1186/s12889-018-5577-4
    [7]
    Phillips CM, Perry IJ. Lipoprotein particle subclass profiles among metabolically healthy and unhealthy obese and non-obese adults: Does size matter?[J]. Atherosclerosis, 2015, 242(2): 399 – 406. doi: 10.1016/j.atherosclerosis.2015.07.040
    [8]
    Rey-López JP, De Rezende LF, Pastor-Valero M, et al. The prevalence of metabolically healthy obesity: a systematic review and critical evaluation of the definitions used[J]. Obesity Rev, 2014, 15(10): 781 – 790. doi: 10.1111/obr.12198
    [9]
    Smith GI, Mittendorfer B, Klein S. Metabolically healthy obesity: facts and fantasies[J]. J Clin Invest, 2019, 129(10): 3978 – 3989. doi: 10.1172/JCI129186
    [10]
    Yanovski SZ, Yanovski JA. Toward precision approaches for the prevention and treatment of obesity[J]. JAMA, 2018, 319(3): 223 – 224. doi: 10.1001/jama.2017.20051
    [11]
    中华医学会内分泌学分会肥胖学组. 中国成人肥胖症防治专家共识[J]. 中华内分泌代谢杂志, 2011, 27(9): 711 – 717. doi: 10.3760/cma.j.issn.1000-6699.2011.09.003
    [12]
    Hinnouho GM, Czernichow S, Dugravot A, et al. Metabolically healthy obesity and risk of mortality: Does the definition of metabolic health matter?[J]. Diab Care, 2013, 36(8): 2294 – 2300. doi: 10.2337/dc12-1654
    [13]
    王佳丽, 陈祚, 张林峰, 等. 新疆地区居民代谢健康型肥胖的患病率及影响因素[J]. 心脑血管病防治, 2017, 17(3): 164 – 168,178. doi: 10.3969/j.issn.1009-816x.2017.03.02
    [14]
    中华医学会糖尿病学分会代谢综合征研究协作组. 中华医学会糖尿病学分会关于代谢综合征的建议[J]. 中华糖尿病杂志, 2004, 12(3): 156 – 161.
    [15]
    常鑫淼, 郭立新. “代谢健康型肥胖”存在吗?[J]. 药品评价, 2018, 15(3): 6 – 9,53. doi: 10.3969/j.issn.1672-2809.2018.03.002
    [16]
    Doehner W, Clark A, Anker SD. The obesity paradox: weighing the benefit[J]. Eur Heart J, 2010, 31(2): 146 – 148. doi: 10.1093/eurheartj/ehp339
    [17]
    何首杰, 高梦婷, 李十月, 等. 体质指数与健康相关生命质量关联性[J]. 中国公共卫生, 2019, 35(12): 1657 – 1660. doi: 10.11847/zgggws1118127
    [18]
    李媛, 靳雅男, 田园, 等. 宁夏地区成年居民超重、肥胖、中心性肥胖流行现状及影响因素[J]. 中国公共卫生, 2019, 35(10): 1360 – 1362. doi: 10.11847/zgggws1118245
    [19]
    尉然, 朱元悦, 胡春艳, 等. 代谢健康型肥胖与动脉粥样硬化的相关性研究[J]. 中华内分泌代谢杂志, 2021, 37(2): 100 – 105. doi: 10.3760/cma.j.cn311282-20201023-00704
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Tables(2)

    Article views (65) PDF downloads(4) Cited by()
    Proportional views

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return