中国6省18~75岁人群高钙尿症检出情况及影响因素

张贝贝; 刘敏; 李园; 张普洪; 白雅敏; 吉宁; 吴静; 徐建伟

doi:10.16462/j.cnki.zhjbkz.2022.07.004

中国6省18~75岁人群高钙尿症检出情况及影响因素

doi: 10.16462/j.cnki.zhjbkz.2022.07.004

张贝贝¹,
刘敏²,
李园³,
张普洪³,
白雅敏²,
吉宁²,
吴静²,
徐建伟^2, ,

1.
441000 襄阳，襄阳市疾病预防控制中心慢病科
2.
100050 北京，中国疾病预防控制中心慢性非传染性疾病预防控制中心
3.
100088 北京，北京大学医学部乔治健康研究所

基金项目:

英国国立健康研究院资助中英减盐项目 16/136/77

详细信息

通讯作者:
徐建伟，E-mail: xujianwei@ncncd.chinacdc.cn

中图分类号: R181
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- 被引次数: 0
出版历程
- 收稿日期: 2021-10-27
- 修回日期: 2022-03-23
- 网络出版日期: 2022-07-19
- 刊出日期: 2022-07-10

The detection of hypercalciuria and influencing factors among people aged 18-75 years old in six provinces of China

1.
Chronic Disease Department of Xiangyang Center for Disease Control and Prevention, Xiangyang 441000, China
2.
National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
3.
The George Institute for Global Health at Peking University Health Science Center, Beijing 100088, China

Funds:

National Institute for Health Research Global Health Research Unit Action on Salt China 16/136/77

More Information

Corresponding author: XU Jian-wei, E-mail: xujianwei@ncncd.chinacdc.cn

摘要

摘要: 目的了解中国6省18~75岁人群高钙尿症检出情况及影响因素。为预防高钙尿症及其引发的其他疾病提供依据。方法采用多阶段整群随机抽样方法，抽取中国6省18~75岁2 693名调查对象，开展问卷调查、体格检查并收集24 h尿标本，检测24小时尿钙水平(24-hours urinary calcium, 24HUC)。结果最终纳入分析2 637名研究对象，共检出高钙尿症者258名，高钙尿症检出率为9.78%，其中男性和女性高钙尿症检出率分别是8.47%和11.09%(χ² =5.124, P=0.024)。多因素Logistic回归分析模型分析显示，女性(OR=1.366, 95% CI: 1.051~1.778, P=0.020)、45~＜60岁(OR=2.069, 95% CI: 1.404~3.049, P < 0.001)、超重(OR=1.661, 95% CI: 1.216~2.268, P=0.001)、肥胖(OR=2.623, 95% CI: 1.855~3.709, P < 0.001)及患糖尿病(OR=1.988, 95% CI: 1.292~3.060, P=0.002)与高钙尿症的发生相关。结论中国人群高钙尿症检出率较高，建议重点人群应开展24HUC的筛查工作，及早预防高钙尿症及其引发的其他疾病。
- 高钙尿症 /
- 24 h尿钙水平 /
- 影响因素
Abstract: Objective To investigate the detection of hypercalciuria and influencing factors among people aged 18-75 years old in six Provinces of China, and to provide basis for prevention of hypercalciuria and other diseases. Methods A total of 2 693 subjects aged 18-75 years old were selected from 6 provinces in China. Using multi-stage cluster random sampling method. Information were collected through questionnaire survey, physical measurement and 24-hours urine collection (24HUC). The 24-hours urinary calcium level was measured. Results A total of 2 637 subjects were included in the final analysis, of which 258 subjects were detected with hypercalciuria, and the detection rate was 9.78%. The male and female hypercalciuria detection rates were 8.47% and 11.09%, respectively (χ² =5.124, P=0.024). Multivariate Logistic regression analysis showed that female (OR=1.366, 95% CI: 1.051-1.778, P=0.020), people aged 45- < 60 years old (OR=2.069, 95% CI: 1.404-3.049, P < 0.001), overweight (OR=1.661, 95% CI: 1.216-2.268, P=0.001), obesity (OR=2.623, 95% CI: 1.855-3.709, P < 0.001), and people with diabetes mellitus (OR=1.988, 95% CI: 1.292-3.060, P=0.002) were related with hypercalciuria. Conclusions The detection rate of hypercalciuria in Chinese population is high. It is suggested that 24HUC screening should be carried out in target population to prevent hypercalciuria and other diseases as soon as possible.
- Hypercalciuria /
- 24-hours urinary calcium /
- Influencing factors

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表 1 调查对象基本情况[n(%)]

Table 1. Basic characteristics of study population [n(%)]

变量	男性(n=1 311)	女性(n=1 326)	合计(N=2 637)
年龄(x±s, 岁)	49.00±12.85	47.06±12.59	48.02±12.75
地区
南部	522 (47.45)	578 (52.55)	1 100 (41.71)
北部	789 (51.33)	748 (48.67)	1 537 (58.29)
BMI(x±s, kg/m²)	24.85±3.55	24.68±3.64	24.76±3.60
肥胖	244 (18.61)	223 (16.82)	467 (17.71)
吸烟	751 (57.28)	40 (3.02)	791 (30.00)
饮酒	830 (63.31)	249 (18.78)	1 079 (40.92)
运动	543 (41.42)	522 (39.37)	1 065 (40.39)
SBP(x±s, mm Hg)	129.96±17.49	122.83±20.22	126.37±19.24
DBP(x±s, mm Hg)	82.20±11.71	76.88±10.89	79.52±11.61
高血压	492 (37.53)	363 (27.38)	855 (32.42)
糖尿病	89 (6.79)	87 (6.56)	176 (6.67)
24HUC(x±s, mg)	169.66±93.72	149.90±81.73	159.72±88.43
高钙尿症	111 (8.47)	147 (11.09)	258 (9.78)

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表 2 不同特征人群高钙尿症检出率[n(%)]

Table 2. The detection rate of hypercalciuria in population with different characteristics[n(%)]

特征	高钙尿症检出率	χ²值	P值	特征	高钙尿症检出率	χ²值	P值
性别		5.124	0.024	运动		0.315	0.575
男	111 (8.47)			是	100 (9.39)
女	147 (11.09)			否	158 (10.05)
年龄(岁)		19.055	< 0.001	高血压		0.79	0.374
18~ < 45	37 (6.68)			是	90 (10.53)
45~ < 60	128 (12.93)			否	168 (9.43)
60~75	93 (8.52)			糖尿病		13.098	< 0.001
地区		4.179	0.041	是	31 (17.61)
南部	123 (11.18)			否	227 (9.22)
北部	135 (8.78)			BMI(kg/m²)		35.469	< 0.001
吸烟		0.595	0.441	正常	74 (6.42)
是	72 (9.10)			超重	110 (10.82)
否	186 (10.08)			肥胖	74 (15.85)
饮酒		0.209	0.647
是	109 (10.10)
否	149 (9.56)

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表 3 高钙尿症影响因素Logistic回归分析模型分析

Table 3. Logistic regression analysis of influencing factors of hypercalciuria

变量	β值	s_x值	χ²值	OR (95% CI)值	P值
性别
男				1.000
女	0.303	0.134	5.425	1.366(1.051~1.778)	0.020
年龄(岁)
60~75				1.000
45~ < 60	0.727	0.198	13.495	2.069(1.404~3.049)	< 0.001
18~ < 45	0.390	0.208	3.514	1.477(0.982~2.221)	0.061
BMI(kg/m²)
正常				1.000
超重	0.507	0.159	10.189	1.661(1.216~2.268)	0.001
肥胖	0.964	0.177	29.745	2.623(1.855~3.709)	< 0.001
糖尿病
否				1.000
是	0.687	0.220	9.769	1.988(1.292~3.060)	0.002
注：因变量为高钙尿症二分类变量；自变量为性别、年龄、地区、BMI、糖尿病。

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