中国人群的肥胖率及其地区分布特征

doi:10.16359/j.1000-3193/AAS.2025.0114

人类学学报 ›› 2026, Vol. 45 ›› Issue (05): 912-925.doi: 10.16359/j.1000-3193/AAS.2025.0114cstr: 32091.14.j.1000-3193/AAS.2025.0114

中国人群的肥胖率及其地区分布特征

李咏兰¹^,²(), 韩瑗², 张兴华³, 宇克莉³, 包金萍⁴, 郑连斌³()

¹ 内蒙古师范大学生命科学与技术学院，呼和浩特 010022
² 内蒙古自治区高等学校蒙古高原生物多样性保护与可持续利用重点实验室，呼和浩特 010022
³ 天津师范大学生命科学学院, 天津市动物多样性保护与利用重点实验室，天津 300387
⁴ 天津师范大学体育学院，天津 300387

收稿日期:2025-03-14 修回日期:2025-08-08 出版日期:2026-10-15 发布日期:2026-10-16
通讯作者: 郑连斌，教授，主要从事体质人类学与人类群体遗传学研究。E-mail: zhenglianbin@sina.com
作者简介:李咏兰，教授，主要从事体质人类学与人类群体遗传学研究。E-mail: liyonglan2005@126.com
基金资助:
国家自然科学基金资助项目(32460217);国家自然科学基金资助项目(32071183);国家自然科学基金资助项目(31671245);国家自然科学基金资助项目(31771329)

Obesity rate and its regional distribution characteristics in the Chinese population

LI Yonglan¹^,²(), HAN Yuan², ZHANG Xinghua³, YU Keli³, BAO Jinping⁴, ZHENG Lianbin³()

¹ College of Life Science and Technology, Inner Mongolia Normal University, Hohhot 010022
² Key Laboratory of Biodiversity Conservation and Sustainable Utilization of the Mongolian Plateau in Inner Mongolia Autonomous Region’s Institutions of Higher Learning， Hohhot 010022
³ College of Life Sciences, Tianjin Key Laboratory of Conservation and Utilization of Animal Diversity, Tianjin 300387
⁴ College of Physical Education, Tianjin Normal University, Tianjin 300387

Received:2025-03-14 Revised:2025-08-08 Online:2026-10-15 Published:2026-10-16

摘要/Abstract

摘要：

本研究测量了69549例（男为32152例，女为37397例）中国人体质量、身高、腰围，计算了身体形态指数(I_s)、身体圆度指数值(I_r)。结果显示：中国男性身体形态指数值为0.802±0.058，女性为0.800±0.106；总体而言，男性、女性身体形态指数值接近。男性身体圆度指数值为3.746±1.175，女性为4.194±1.530，女性身体圆度指数值大于男性。随着年龄增长，中国人I_s、I_r值呈递增趋势。相关分析显示I_r和I_s之间呈显著正相关。I_s、I_r值的增加都会使中国人血压升高、心率加快，收缩压型高血压人群的I_s、I_r值显著高于非高血压人群。总体上中国人群I_s、I_r值存在地区差异。中国男性、女性I_s均与经度、年龄、降水量、人均可支配收入、人均消费支出呈显著正相关；其I_r均与纬度、年龄、日照时数、人均可支配收入、人均消费支出呈显著正相关，与年平均温度、降水量呈显著负相关。初步估算体质量指数BMI在I_m≥24的人群中，男性I_r值为4.241、女性I_r值为5.086的个体有肥胖风险。本文采用综合判定肥胖方法得出中国男性肥胖率为27.3%，女性肥胖率为21.7%，男性肥胖率高于女性。本文还进行了I_r与纬度的回归分析，得到纬度与I_r的回归方程。

关键词: 中国人群, 身体圆度指数, 高血压, 肥胖

Abstract:

In this study, the weight, height, and waist circumference of 69549 Chinese individuals (32152 males and 37397 females) were measured, and their I_s and I_rvalues were calculated. The results showed that the I_svalues of Chinese males and females were 0.802±0.058 and 0.800±0.106, respectively, indicating that the I_s values were close between the two genders. For I_r values, males scored 3.746±1.175 while females scored 4.194±1.530, with females showing significantly higher values than males.

With the increase of age, both I_s and I_rvalues of the Chinese population present an upward trend. Correlation analysis revealed a significant positive correlation between I_r and I_s. Moreover, I_s and I_r are closely associated with blood pressure: an increase in I_s and I_r values will lead to elevated blood pressure and heart rate in Chinese people.

It was found that the I_s and I_r values of the systolic hypertensive population were significantly higher than those of the non-hypertensive population. Overall, regional variations in I_sand I_rexist among the Chinese population. For both Chinese males and females, I_sshowed significant positive correlations with longitude, age, precipitation, per capita disposable income, and per capita consumption expenditure. Similarly, Ir exhibited significant positive correlations with latitude, age, sunshine duration,per capita disposable income, and per capita consumption expenditure, while showing significant negative correlations with annual average temperature and precipitation.

Preliminary estimates indicate that among individuals with I_m≥ 24 kg/m² (BMI, denoted as I_m in this study), those with an I_r value of 4.241 for males and 5.086 for females are at risk of obesity. This study employed a comprehensive obesity assessment method, revealing that the obesity rate in China is 27.3% for men and 21.7% for women, with the male obesity rate being higher than that of females. Additionally, a regression analysis between I_r and latitude was conducted, resulting in a regression equation describing the relationship between latitude and I_r.

Key words: Chinese population, body roundness index, hypertension, obesity

中图分类号:

Q983

李咏兰, 韩瑗, 张兴华, 宇克莉, 包金萍, 郑连斌. 中国人群的肥胖率及其地区分布特征[J]. 人类学学报, 2026, 45(05): 912-925.

LI Yonglan, HAN Yuan, ZHANG Xinghua, YU Keli, BAO Jinping, ZHENG Lianbin. Obesity rate and its regional distribution characteristics in the Chinese population[J]. Acta Anthropologica Sinica, 2026, 45(05): 912-925.

图/表 9

参考文献 30

[1]	Krakauer NY, Krakauer JC. A new body shape index predicts mortality hazard independently of body mass index[J]. PLoS ONE, 2012, 7(7): e39504 doi: 10.1371/journal.pone.0039504 URL
[2]	Thomas DM, Bredlau C, Bosy-Westphal A, et al. Relationships between body roundness with body fat and visceral adipose tissue emerging from a new geometrical model[J]. Obesity, 2013, 21(11): 2264-2271 doi: 10.1002/oby.20408 pmid: 23519954
[3]	Maessen MFH, Eijsvogels TMH, Verheggen RJHM, et al. Entering a new era of body indices: the feasibility of a body shape index and body roundness index to identify cardiovascular health status[J]. PLoS ONE, 2014, 9(9): e107212 doi: 10.1371/journal.pone.0107212 URL
[4]	Chang Y, Guo X, Chen Y, et al. A body shape index and body roundness index: two new body indices to identify diabetes mellitus among rural populations in northeast China[J]. BMC Public Health, 2015, 15(1): 794 doi: 10.1186/s12889-015-2150-2 URL
[5]	Zhang N, Chang Y, Guo X, et al. A body shape index and body roundness index: two new body indices for detecting association between obesity and hyperuricemia in rural area of China[J]. European Journal of Internal Medicine, 2016, 29: 32-36 doi: 10.1016/j.ejim.2016.01.019 pmid: 26895753
[6]	杨嘉璐, 罗燕芳, 单忍湖, 等. 2种新型人体测量指标对成人代谢相关脂肪性肝病的筛查能力[J]. 中山大学学报:医学科学版, 2021, 42(6): 854-863
[7]	Qiu L, Xiao Z, Fan B, et al. Association of body roundness index with diabetes and prediabetes in US adults from NHANES 2007-2018: a cross-sectional study[J]. Lipids in Health and Disease, 2024, 23: 252 doi: 10.1186/s12944-024-02238-2 pmid: 39154165
[8]	Kiremitli T, Kiremitli S, Ulug P, et al. Are the body shape index, the body roundness index and waist-to-hip ratio better than BMI to predict recurrent pregnancy loss?[J]. Reproductive Medicine and Biology, 2021, 20(3): 327-333 doi: 10.1002/rmb2.12388 pmid: 34262401
[9]	Nkwana MR, Monyeki KD, Lebelo SL. Body roundness index, a body shape index, conicity index, and their association with nutritional status and cardiovascular risk factors in South African rural young adults[J]. International Journal of Environmental Research and Public Health, 2021, 18(1): 281 doi: 10.3390/ijerph18010281 URL
[10]	Zhang G, Zhang H, Fu J, et al. Atherogenic index of plasma as a mediator in the association between body roundness index and depression: insights from NHANES 2005-2018[J]. Lipids Health Dis, 2024, 23(1): 183 doi: 10.1186/s12944-024-02177-y pmid: 38867232
[11]	席焕久, 陈昭. 人体测量方法[M]. 北京: 科学出版社, 2010
[12]	中华人民共和国国家卫生健康委员会医政司. 肥胖症诊疗指南(2024年版)[J]. 中华消化外科杂志, 2024, 23(10): 1237-1260
[13]	中国肥胖问题工作组数据汇总分析协作组. 我国成人体重指数和腰围对相关疾病危险因素异常的预测价值:适宜体重指数和腰围切点的研究[J]. 中华流行病学杂志, 2002, 23(1): 5-10
[14]	中华人民共和国国家卫生和计划生育委员会. 卫生行业标准成人体重判定:WS/T 428-2013[S]. 北京: 中国标准出版社, 2013
[15]	Rubino F, Cummings DE, Eckel RH, et al. Definition and diagnostic criteria of clinical obesity[J]. The Lancet Diabetes & Endocrinology, 2025, 13(3): 221-262
[16]	Zhang X, Ma N, Lin Q, et al. Body roundness index and all-cause mortality among US adults[J]. JAMA Netw Open, 2024, 7(6): e2415051
[17]	郑连斌, 李咏兰, 席焕久. 中国汉族体质人类学研究[M]. 北京: 科学出版社, 2017
[18]	Wells JCK. Ecogeographical associations between climate and human body composition: analyses based on anthropometry and skinfolds[J]. American Journal of Physical Anthropology, 2012, 147(2): 169-186 doi: 10.1002/ajpa.21591 pmid: 22212891
[19]	田洁. 日照与小儿生长发育的关系[J]. 临床医药实践, 2011, 20(6): 456-457
[20]	林琬生, 胡承康. 中国青年生长发育环境差异的研究[J]. 人类学学报, 1990, 9(2): 152-159
[21]	张天成. 中国23个少数民族18岁学生生长发育自然环境差异的研究[J]. 中国体育科技, 2010, 46(5): 134-138
[22]	Ikeue K, Kusakabe T, Yamakage H, et al. A body shape index is useful for BMI-independently identifying Japanese patients with obesity at high risk of cardiovascular disease[J]. Nutrition, Metabolism and Cardiovascular Diseases, 2024, 34(2): 387-394 doi: 10.1016/j.numecd.2023.09.008 URL
[23]	Arturo Corbatón-Anchuelo, Krakauer JC, Irene Serrano-García, et al. A body shape index (ABSI) and hip index (HI) adjust waist and hip circumferences for body mass index, but only ABSI predicts high cardiovascular risk in the Spanish Caucasian population[J]. Metabolic Syndrome and Related Disorders, 2021, 19(6): 352-357 doi: 10.1089/met.2020.0129 pmid: 33709800
[24]	Kawasoe S, Kubozono T, Salim AA, et al. Association between anthropometric indices and 5-year hypertension incidence in the general Japanese population[J]. Hypertension Research, 2024, 47(4): 867-876 doi: 10.1038/s41440-023-01505-6
[25]	Zhang X, Ding L, Hu H, et al. Associations of body-roundness index and sarcopenia with cardiovascular disease among middle-aged and older adults: findings from CHARLS[J]. The journal of nutrition, health & aging, 2023, 27(11): 953-959
[26]	Song S, Cai X, Hu J, et al. Body roundness index improves the predictive value of cardiovascular disease risk in hypertensive patients with obstructive sleep apnea: a cohort study[J]. Journal of Hypertension, 2024, 42(S1): e225-e226
[27]	Baveicy K, Mostafaei S, Darbandi M, et al. Predicting metabolic syndrome by visceral adiposity index, body roundness index and a body shape index in adults: a cross-sectional study from the Iranian RaNCD cohort data[J]. Diabetes Metab Syndr Obes, 2020, 13: 879-887 doi: 10.2147/DMSO.S238153 URL
[28]	Li Z, Fan C, Huang J, et al. Non-linear relationship between the body roundness index and metabolic syndrome: data from National Health and Nutrition Examination Survey (NHANES) 1999-2018[J]. British Journal of Nutrition, 2024, 131(11): 1852-1859 doi: 10.1017/S0007114524000357 URL
[29]	Al-Shami I, Al-Dalaeen A, Alkhatib B, et al. Dietary fat types consumption association with obesity and coronary indices[J]. Journal of Nutritional Science, 2023, 12: e110
[30]	Maeda YL, Tibbi M, Scott MJ, et al. The relationship between body roundness, exercise dose, and exercise type[J]. The FASEB Journal, 2013, 27(S1): 1068.4

年龄组 Age group (a)	I_s					I_r
	样本量n		±σ		u	样本量n		±σ		u
	男性	女性	男性	女性	u	男性	女性	男性	女性	u
18~29	4865	5242	0.787±0.063	0.784±0.135	1.45	4865	5246	2.987±1.001	3.159±1.239	7.70
30~39	5572	6556	0.793±0.054	0.782±0.114	6.95	5575	6563	3.689±1.076	3.743±1.355	2.45
40~49	6653	8251	0.799±0.052	0.784±0.106	11.28	6661	8264	3.870±1.110	4.148±1.399	13.54
50~59	6731	8559	0.806±0.056	0.806±0.090	0.00	6763	8606	3.946±1.147	4.564±1.457	29.42
60~69	4771	5762	0.811±0.059	0.826±0.084	10.73	4850	5827	3.956±1.213	4.785±1.570	30.76
70~79	2425	2375	0.825±0.060	0.848±0.079	11.34	2473	2412	4.010±1.238	4.938±1.525	23.34
80~90	389	443	0.836±0.065	0.864±0.080	5.57	426	462	4.100±1.260	4.924±1.601	8.56
合计Total	31406	37188	0.802±0.058	0.800±0.106	3.13	31613	37380	3.746±1.175	4.194±1.530	43.45
F			199.514	263.234				478.585	968.406
p			0.000	0.000				0.000	0.000
多重比较LSD			abcdefghijk lmnopqrstu	cdefhijkl mnopqrstu				abcdefghij klmnoqrt	abcdefghij klmnopqrst

年龄组 Age group (a)	I_s					I_r
	样本量n		±σ		u	样本量n		±σ		u
	男性	女性	男性	女性	u	男性	女性	男性	女性	u
18~29	4865	5242	0.787±0.063	0.784±0.135	1.45	4865	5246	2.987±1.001	3.159±1.239	7.70
30~39	5572	6556	0.793±0.054	0.782±0.114	6.95	5575	6563	3.689±1.076	3.743±1.355	2.45
40~49	6653	8251	0.799±0.052	0.784±0.106	11.28	6661	8264	3.870±1.110	4.148±1.399	13.54
50~59	6731	8559	0.806±0.056	0.806±0.090	0.00	6763	8606	3.946±1.147	4.564±1.457	29.42
60~69	4771	5762	0.811±0.059	0.826±0.084	10.73	4850	5827	3.956±1.213	4.785±1.570	30.76
70~79	2425	2375	0.825±0.060	0.848±0.079	11.34	2473	2412	4.010±1.238	4.938±1.525	23.34
80~90	389	443	0.836±0.065	0.864±0.080	5.57	426	462	4.100±1.260	4.924±1.601	8.56
合计Total	31406	37188	0.802±0.058	0.800±0.106	3.13	31613	37380	3.746±1.175	4.194±1.530	43.45
F			199.514	263.234				478.585	968.406
p			0.000	0.000				0.000	0.000
多重比较LSD			abcdefghijk lmnopqrstu	cdefhijkl mnopqrstu				abcdefghij klmnoqrt	abcdefghij klmnopqrst

性别Sex	变量Variable	I_s分组/I_s group					F	p	多重比较LSD
性别Sex	变量Variable	0.00~0.59	0.60~0.69	0.70~0.79	0.80~0.89	>0.90	F	p	多重比较LSD
男性Male	右手握力G_R-han(kg)	29.1±9.6	34.0±10.0	35.2±9.7	31.9±9.8	28.9±9.6	98.144	0.000	abefghij
	左手握力G_L-han(kg)	26.8±9.7	32.7±9.6	34.2±9.4	30.9±9.5	27.3±9.2	106.178	0.000	abcefghij
	收缩压P_Sys(mmHg)	135.2±31.8	130.4±26.6	134.0±24.7	139.1±25.2	140.0±25.6	39.023	0.000	efghij
	舒张压P_Dia(mmHg)	77.9±10.1	77.7±11.7	82.0±13.9	85.0±15.4	83.9±15.0	48.064	0.000	cdefghi
	心率HR(次/min)	82.8±11.2	75.7±16.8	77.5±12.9	79.0±13.5	79.6±14.9	14.99	0.000	abefghi
	I_r	1.610±1.128	2.170±0.677	3.340±1.059	4.220±1.082	4.260±1.046	1760.794	0.000	abcdefghi
女性Female	右手握力G_R-han(kg)	21.7±6.6	23.4±5.0	22.3±6.0	20.0±6.8	18.7±7.0	160.931	0.000	defghij
	左手握力G_L-han(kg)	21.1±5.4	22.7±5.3	21.9±5.5	19.9±5.9	19.0±6.4	126.486	0.000	efghij
	收缩压P_Sys(mmHg)	130.1±22.7	120.1±19.5	126.4±21.4	134.6±23.5	138.9±25.0	215.44	0.000	adefghij
	舒张压P_Dia(mmHg)	82.0±13.8	75.6±11.7	78.8±12.5	81.6±13.1	82.0±13.8	82.12	0.000	aefghi
	心率HR(次/min)	78.9±11.4	76.8±11.1	77.7±11.5	78.2±11.3	79.3±11.8	7.565	0.000	abcgefghij
	I_r	1.832±1.526	2.597±0.966	3.705±1.215	4.750±1.320	5.224±1.414	2523.065	0.000	abcgefghij

性别Sex	变量Variable	I_s分组/I_s group					F	p	多重比较LSD
性别Sex	变量Variable	0.00~0.59	0.60~0.69	0.70~0.79	0.80~0.89	>0.90	F	p	多重比较LSD
男性Male	右手握力G_R-han(kg)	29.1±9.6	34.0±10.0	35.2±9.7	31.9±9.8	28.9±9.6	98.144	0.000	abefghij
	左手握力G_L-han(kg)	26.8±9.7	32.7±9.6	34.2±9.4	30.9±9.5	27.3±9.2	106.178	0.000	abcefghij
	收缩压P_Sys(mmHg)	135.2±31.8	130.4±26.6	134.0±24.7	139.1±25.2	140.0±25.6	39.023	0.000	efghij
	舒张压P_Dia(mmHg)	77.9±10.1	77.7±11.7	82.0±13.9	85.0±15.4	83.9±15.0	48.064	0.000	cdefghi
	心率HR(次/min)	82.8±11.2	75.7±16.8	77.5±12.9	79.0±13.5	79.6±14.9	14.99	0.000	abefghi
	I_r	1.610±1.128	2.170±0.677	3.340±1.059	4.220±1.082	4.260±1.046	1760.794	0.000	abcdefghi
女性Female	右手握力G_R-han(kg)	21.7±6.6	23.4±5.0	22.3±6.0	20.0±6.8	18.7±7.0	160.931	0.000	defghij
	左手握力G_L-han(kg)	21.1±5.4	22.7±5.3	21.9±5.5	19.9±5.9	19.0±6.4	126.486	0.000	efghij
	收缩压P_Sys(mmHg)	130.1±22.7	120.1±19.5	126.4±21.4	134.6±23.5	138.9±25.0	215.44	0.000	adefghij
	舒张压P_Dia(mmHg)	82.0±13.8	75.6±11.7	78.8±12.5	81.6±13.1	82.0±13.8	82.12	0.000	aefghi
	心率HR(次/min)	78.9±11.4	76.8±11.1	77.7±11.5	78.2±11.3	79.3±11.8	7.565	0.000	abcgefghij
	I_r	1.832±1.526	2.597±0.966	3.705±1.215	4.750±1.320	5.224±1.414	2523.065	0.000	abcgefghij

性别Sex	I_r分型type		身高H(mm)	体质量m(kg)	腰围C_w(mm)	髂前上棘皮褶SK(mm)	右手握力G_R-han(kg)	左手握力 G_L-han(kg)	收缩压P_Sys (mmHg)	舒张压P_Dia (mmHg)	心率HR (次/min)	BMI	I_s
男性Male	0~3.39		1624.0	56.5	745.0	10.4	33.2	32.3	129.6	79.6	77.4	21.4	0.762
	n=12872	σ	71.5	8.1	56.6	5.0	9.9	9.6	20.3	12.6	13.3	2.2	0.05
	3.4~6.89		1623.5	69.5	903.6	16.6	33.8	32.7	137.2	84.5	78.2	26.2	0.808
	n=18418	σ	73.8	11.8	73.3	5.7	10.1	9.8	20.9	13	12.6	3.2	0.052
	≥6.90		1622.5	89.1	1105.3	22.3	33.5	32.1	147.6	91.6	82.6	33.8	0.840
	n=321	σ	81.3	16	111.2	5.6	10.5	10.2	24.9	16.5	13.1	4.2	0.081
	F		0.1	2960.9	10389.4	2335.0	5.3	2.7	260.8	276.2	17.7	5641.8	1380.8
	p		0.921	0.000	0.000	0.000	0.005	0.068	0.000	0.000	0.000	0.000	0.000
	多重比较LSD			abc	abc	abc	a	a	abc	abc	abc	abc	abc
女性Female	0~3.39		1545.0	49.8	712.9	14.1	21.9	21.6	122.0	75.8	77.8	22.4	0.729
	n=10990	σ	66.2	7.2	53.2	6.2	6.2	5.4	20.6	11.8	11.8	3.5	0.076
	3.4~6.89		1526.8	58.3	864.3	18.8	21.1	20.9	132.4	81.2	77.8	24.5	0.84
	n=24434	σ	62.6	9.6	67.9	6.8	6.5	5.9	22.7	12.8	11.2	3.8	0.097
	≥6.90		1502.8	70.9	1044.8	22.7	19.6	19.5	144.5	87.9	80.2	27.0	0.972
	n=1580	σ	66.5	13.1	71.4	6.4	6.9	6.1	23.2	13.2	11.4	5.9	0.154
	F		463.0	5278.2	30221.0	1445.7	46.3	47.1	617.2	530.0	15.4	1527.7	7331.7
	p		0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
	多重比较LSD		abc	abc	abc	abc	abc	abc	abc	abc	bc	abc	abc

中国人群的肥胖率及其地区分布特征

Obesity rate and its regional distribution characteristics in the Chinese population

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性别Sex	指数Index		经度Lon(°)	纬度Lat(°)	年平均温度MAT(°)	年龄 Age(a)	降水量MAP(mm)	日照时数SUN(h)	人均可支配收入PCDI(元/人)	人均消费支出PCSE(元/人)
男性 Male	I_s	r	0.095	0.085	-0.040	0.195	0.026	0.028	0.058	0.058
		p	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
		n	31406	31406	31406	31406	31406	31406	31406	31406
	I_r	r	-0.011	0.208	-0.184	0.253	-0.157	0.146	0.047	0.049
		p	0.043	0.000	0.000	0.000	0.000	0.000	0.000	0.000
		n	31613	31613	31613	31613	31613	31613	31613	31613
女性 Female	I_s	r	0.120	-0.028	0.081	0.187	0.111	-0.106	0.086	0.089
		p	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
		n	37189	37189	37189	37189	37189	37189	37189	37189
	I_r	r	0.024	0.129	-0.099	0.369	-0.085	0.048	0.056	0.060
		p	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
		n	37381	37381	37381	37381	37381	37381	37381	37381

性别Sex	指数Index		腰围C_w	右握力 G_R-han(kg)	左握力 G_L-han(kg)	收缩压P_Sys(mmHg)	舒张压P_Dia(mmHg)	心率HR (次/min)	腰臀比 R_w-h	腰围身高比R_w-_H	BMI (kg/m²)	体脂率PBF
男性Male	I_s	r	0.463	-0.171	-0.177	0.116	0.120	0.063	0.619	0.464	-0.133	0.002
		p	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.784
		n	31406	12003	11469	13642	13642	13560	31403	31406	31406	31345
	I_r	r	0.929	0.018	0.005	0.204	0.233	0.063	0.700	0.996	0.801	0.177
		p	0.000	0.052	0.583	0.000	0.000	0.000	0.000	0.000	0.000	0.000
		n	31613	12208	11674	13847	18546	18209	37368	37381	37098	31399
女性Female	I_s	r	0.512	-0.200	-0.183	0.214	0.130	0.041	0.833	0.728	-0.123	0.017
		p	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.040
		n	36827	15377	13905	18357	18356	18019	37176	37189	37061	14062
	I_r	r	0.939	-0.092	-0.100	0.305	0.281	0.035	0.699	0.954	0.625	0.103
		p	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
		n	37019	15563	14021	18547	18546	18209	37368	37381	37098	14253

性别 Sex	收缩压分型P_Sys type	I_s		I_r
性别 Sex	收缩压分型P_Sys type	样本量n	$\bar{X} \pm \sigma$	样本量n	$\bar{X} \pm \sigma$
男性 Male	<140 mmHg	8941	0.783±0.056	9043	3.588±1.169
	140~159 mmHg	2838	0.797±0.059	2900	4.048±1.227
	160~179 mmHg	1159	0.807±0.062	1183	4.225±1.266
	≥180 mmHg	708	0.796±0.060	725	4.172±1.320
	F	88.656		194.521
	p	0.000		0.000
	多重比较LSD	abcdf		abcdf
女性 Female	<140 mmHg	13045	0.782±0.065	13170	3.962±1.353
	140~159 mmHg	1418	0.811±0.071	1439	4.869±1.519
	≥180 mmHg	617	0.821±0.071	623	4.937±1.535
	F	218.66		422.664
	p	0.000		0.000
	多重比较LSD	abcdef		abcde

性别 Sex	舒张压分型P_Dia type	I_s		I_r
性别 Sex	舒张压分型P_Dia type	样本量n	$\bar{X} \pm \sigma$	样本量n	$\bar{X} \pm \sigma$
男性 Male	<89 mmHg	10009	0.785±0.058	10190	3.625±1.179
	90~99 mmHg	2262	0.797±0.055	2280	4.057±1.210
	100~109 mmHg	934	0.803±0.060	938	4.259±1.323
	≥110 mmHg	442	0.803±0.057	44	4.400±1.327
	F	57.258		185.563
	p	0.000		0.000
	多重比较LSD	abcd		abcd
女性 Female	<89 mmHg	14649	0.786±0.067	14827	4.035±1.371
	90~99 mmHg	2404	0.801±0.064	2414	4.744±1.497
	100~109 mmHg	921	0.808±0.069	922	4.915±1.560
	≥110 mmHg	381	0.808±0.065	382	5.057±1.623
	F	71.236		316.681
	p	0.000		0.000
	多重比较LSD	abcd		abcde

指标/指数Index	男性Male			女性Female
指标/指数Index	无肥胖人群 No obesity (n=23081)	肥胖人群Obesity (n=8681)	u	无肥胖人群 No obesity (n=29113)	肥胖人群Obesity (n=8075)	u
I_s	0.797±0.063	0.816±0.036	37.14	0.801±0.073	0.834±0.051	47.31
I_r	3.232±0.824	5.091±0.850	175.16	3.733±1.039	6.135±1.049	182.08
纬度Lat(°)	29.7±6.8	33.6±7.4	42.78	29.7±6.8	33.4±7.5	40.01
体质量m(kg)	59.4±8.2	78.1±9.2	166.22	53.0±8.0	68.4±9.1	138.04
胸围C_c(mm)	873.0±55.6	992.9±55.8	170.89	851.4±63.7	976.4±64.5	154.56
腰围C_w(mm)	802.1±72.3	971.1±57.8	216.22	789.2±78.9	967.6±58.1	224.52
臀围C_h(mm)	894.4±56.4	1003.8±60.1	147.06	901.1±60.2	1010.7±79.7	114.88
腰臀比R_w-h	89.5±7.5	96.8±5.4	95.95	87.6±7.8	96.1±9.4	74.52
腰围身高比R_w-_H	49.1±4.8	58.4±3.8	180.40	51.6±5.4	62.9±4.2	200.35
BMI(kg/m²)	22.2±2.6	28.1±2.6	180.39	22.6±3.0	28.8±3.2	156.26

地区Area	经度Lon(°)	纬度Lat(°)	I_s			I_r
地区Area	经度Lon(°)	纬度Lat(°)	男性Male	女性Female	u	男性Male	女性Female	u
安徽Anhui	118.4	32.7	0.788±0.058	0.801±0.067	2.73	3.453±1.210	3.991±1.464	5.27
福建Fujian	118.5	25.4	0.815±0.056	0.820±0.049	1.75	3.704±0.850	3.926±1.008	4.42
甘肃Gansu	102.0	36.6	0.785±0.043	0.788±0.062	2.10	3.816±1.184	4.310±1.399	14.13
广东Guangdong	112.5	22.8	0.804±0.049	0.819±0.059	6.21	3.337±1.074	3.918±1.265	11.11
广西Guangxi	108.8	25.2	0.806±0.073	0.823±0.105	6.99	3.654±1.128	4.195±1.369	15.84
贵州Guizhou	107.2	26.5	0.801±0.063	0.813±0.088	6.49	3.619±1.116	4.234±1.444	19.64
海南Hainan	110.1	19.2	0.781±0.045	0.77±0.067	4.69	3.161±1.053	3.283±1.151	2.70
河北Hebei	115.1	40.2	0.834±0.057	0.863±0.082	9.62	4.072±1.139	5.094±1.638	16.97
河南Henan	112.5	32.7	0.775±0.088	0.779±0.088	0.85	3.455±1.267	3.908±1.616	5.84
黑龙江Heilongjiang	126.1	46.1	0.866±0.042	0.866±0.062	0.00	4.776±0.955	5.219±1.380	5.88
湖北Hubei	112.4	30.7	0.807±0.066	0.838±0.064	10.72	3.756±0.909	4.354±1.234	12.56
湖南Hunan	111.0	28.0	0.804±0.062	0.818±0.074	5.35	3.899±0.997	4.382±1.235	11.25
吉林Jilin	125.7	44.7	0.840±0.051	0.852±0.078	3.04	4.663±1.052	4.981±1.428	4.22
江苏Jiangsu	119.0	33.8	0.823±0.059	0.839±0.074	3.23	4.12±1.1060	4.555±1.606	4.26
江西Jiangxi	116.0	27.9	0.823±0.052	0.838±0.061	6.05	3.674±0.869	4.213±1.196	11.78
辽宁Liaoning	121.8	41.8	0.788±0.058	0.798±0.067	3.81	3.696±1.226	4.204±1.400	9.22
内蒙古Inner Mongolia	116.3	45.3	0.718±0.253	0.798±0.067	11.53	4.168±1.426	4.204±1.400	0.70
青海Qinghai	101.3	36.0	0.806±0.042	0.720±0.241	12.73	4.338±1.235	3.943±2.298	5.37
山东Shandong	118.8	36.9	0.791±0.043	0.794±0.054	0.84	3.585±1.077	4.681±1.585	11.02
山西Shanxi	112.4	37.4	0.802±0.048	0.790±0.047	3.58	3.757±1.262	3.84±1.185	0.96
陕西Shanxi	109.2	34.7	0.790±0.048	0.800±0.053	3.75	3.551±1.143	4.369±1.542	11.44
四川Sichuan	103.6	30.2	0.791±0.048	0.801±0.059	5.51	3.647±1.189	3.896±1.472	5.51
西藏Xizang	92.9	29.2	0.766±0.207	0.790±0.066	3.12	3.861±1.208	4.209±1.486	5.04
新疆Xinjiang	77.9	43.0	0.766±0.207	0.708±0.251	4.87	4.256±1.97	3.813±2.232	4.07
云南Yunnan	100.3	24.7	0.798±0.060	0.788±0.018	12.54	3.558±1.081	4.044±1.334	23.60
浙江Zhejiang	120.2	30.2	0.816±0.050	0.869±0.057	18.41	3.680±1.086	4.576±1.337	13.72

[1]	阿力木江·依米提·塔尔肯, 马云飞, 李成跃, 李卫民. 中国青少年的生长发育及超重趋势[J]. 人类学学报, 2026, 45(01): 165-173.
[2]	李咏兰, 宫磊, 孙思雨, 韩瑗, 希露格, 白昀, 郑连斌. 中国西北民族走廊中心型肥胖人群的体成分[J]. 人类学学报, 2025, 44(04): 651-661.
[3]	张兴华, 郑连斌, 徐飞, 包金萍, 宇克莉. 中国藏缅语族成人的超重与肥胖[J]. 人类学学报, 2023, 42(02): 272-276.
[4]	席焕久, 李文慧, 刘莹莹. 体质测量在超重和肥胖研究中的应用[J]. 人类学学报, 2021, 40(02): 328-345.
[5]	刘武; 吴秀杰; 邢松; Victoria GIBBON; Ronald CLARKE. 现代中国人群形成与分化的形态证据——中国与非洲和欧洲人群头骨非测量特征分析[J]. 人类学学报, 2011, 30(03): 250-264.
[6]	薛雅丽,包维东,傅松滨,Tatiana Zerjal,朱苏玲,徐玖瑾,杜若甫,张贵寅,李璞,Chris Tyler-Smith. MYS2多态位点在中国26个人群中分布的研究[J]. 人类学学报, 2003, 22(01): 63-68.