中国6省份中学生健康素养与饮酒行为的关联

薛艳妮; 李丹琳; 黄雪雪; 胡婕; 王思哲; 万宇辉; 陶芳标; 张诗晨

doi:10.16835/j.cnki.1000-9817.2021.06.013

中国6省份中学生健康素养与饮酒行为的关联

doi: 10.16835/j.cnki.1000-9817.2021.06.013

薛艳妮^{1, 2},
李丹琳^{1, 2},
黄雪雪^{1, 2},
胡婕^{1, 2},
王思哲¹,
万宇辉^{1, 2},
陶芳标^{1, 2},
张诗晨^{1, 2, ,}

1.
安徽医科大学公共卫生学院儿少卫生与妇幼保健学系，合肥 230032
2.
出生人口健康教育部重点实验室/人口健康与优生安徽省重点实验室

基金项目:

国家自然科学基金项目 81402699

详细信息

作者简介:
薛艳妮(1993-)，女，安徽蒙城人，在读硕士，主要研究方向为青少年健康促进

通讯作者:
张诗晨，E-mail：zhangshichen@ahmu.edu.cn

中图分类号: R179 G478
计量
- 文章访问数: 531
- HTML全文浏览量: 312
- PDF下载量: 58
- 被引次数: 0
出版历程
- 收稿日期: 2020-11-28
- 修回日期: 2021-01-27
- 网络出版日期: 2021-06-22
- 刊出日期: 2021-06-25

Association of health literacy and drinking behaviors among middle school students in six provinces of China

XUE Yanni^{1, 2},
LI Danlin^{1, 2},
HUANG Xuexue^{1, 2},
HU Jie^{1, 2},
WANG Sizhe¹,
WAN Yuhui^{1, 2},
TAO Fangbiao^{1, 2},
ZHANG Shichen^{1, 2
, ,}

1.
Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei(230032), China

摘要

摘要: 目的探讨中国6省份中学生健康素养与饮酒行为的关联，为预防和减少中学生的饮酒行为提供参考依据。方法 2015年11月—2016年1月，采用多阶段整群抽样方法，选择内蒙古自治区乌兰察布市、辽宁省沈阳市、河南省新乡市、安徽省蚌埠市、重庆市和广东省阳江市，抽取初、高中学生共22 628名进行问卷调查。调查内容包括人口统计学信息、健康素养水平和饮酒行为。比较不同特征中学生饮酒行为报告率的差异，采用多因素Logistic回归分析健康素养与饮酒行为之间的关联。结果中学生曾经饮酒、最近饮酒、过量饮酒、出现醉酒症状报告率分别为60.0%(13 580名)、16.8%(3 799名)、5.9%(1 344名)和9.9%(2 250名)。调整性别、学段、家庭所在地、独生子女、学习日住校、父/母亲文化程度和自评家庭经济状况等因素后，低水平健康素养者曾经饮酒(OR=1.76，95%CI=1.62~1.91)、最近饮酒(OR=1.37，95%CI=1.23~1.52)、过量饮酒(OR=1.39，95%CI=1.18~1.63)和出现醉酒症状(OR=1.68，95%CI=1.47~1.92)的风险均高于高水平健康素养者(P值均 < 0.01)。结论中学生健康素养与饮酒行为存在关联，可通过提高学生健康素养水平来预防和减少饮酒等健康危险行为的发生。
- 健康教育 /
- 饮酒 /
- 行为 /
- 回归分析 /
- 学生
Abstract: Objective To explore the association between health literacy and drinking behaviors among middle school students in six provinces of China, and to provide scientific basis for the prevention and intervention of drinking behaviors. Methods From November 2015 to January 2016, 22 628 students were enrolled from Ulanqab, Shenyang, Xinxiang, Bengbu, Chongqing and Yangjiang by multistage stratified cluster sampling method. And a questionnaire survey was conducted among them to collect demographic information, health literacy and drinking behaviors. Rates on drinking behaviors were compared in students with specific characteristics. Multiple Logistic regression analyses were conducted to examine the association between health literacy and drinking behaviors. Results The proportion of ever drinking, current drinking, binge drinking, drunkenness was 60.0%(13 580), 16.8%(3 799), 5.9%(1 344) and 9.9%(2 250), respectively. After adjusting for gender, grade, family address, siblings, accommodation type, parental educational level, and self-reported family income, compared to the high-level health literacy, the low-level health literacy was significantly associated with ever drinking (OR=1.76, 95%CI=1.62-1.91), current drinking(OR=1.37, 95%CI=1.23-1.52), binge drinking (OR=1.39, 95%CI=1.18-1.63), and drunkenness(OR=1.68, 95%CI=1.47-1.92), respectively(P < 0.01). Conclusion Health literacy of middle school students was related to drinking behaviors. The occurrence of health risk behaviors such as drinking can be prevented and reduced by improving students' health literacy level.
- Health education /
- Alcohol drinking /
- Behavior /
- Regression analysis /
- Students

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表 1 中国6城市不同特征中学生饮酒行为报告率比较

Table 1. Frequency characteristics of drinking behaviors among middle school students in six provinces in China

特征	选项	人数	统计值	曾经饮酒	最近饮酒	过量饮酒	出现醉酒症状
性别	男	10 990		7 586(69.0)	2 524(23.0)	951(8.7)	1 506(13.7)
	女	11 638		5 994(51.5)	1 275(11.0)	393(3.4)	744(6.4)
			χ²值	723.22	583.68	281.68	9.40
			P值	< 0.01	< 0.01	< 0.01	< 0.01
学段	初中	11 993		6 232(52.0)	1 806(15.7)	561(4.7)	813(6.8)
	高中	10 635		7 348(69.1)	1 993(18.7)	783(7.4)	1 437(13.5)
			χ²值	689.16	54.68	72.72	285.36
			P值	< 0.01	< 0.01	< 0.01	< 0.01
家庭所在地	农村	10 882		6 698(61.6)	1 709(15.7)	602(5.5)	1 151(10.6)
	城市	11 746		6 882(58.6)	2 090(17.8)	742(6.3)	1 099(9.4)
			χ²值	20.64	17.64	6.23	9.40
			P值	< 0.01	< 0.01	0.01	< 0.01
独生子女	是	9 720		6 082(62.6)	1 770(18.2)	656(6.7)	1 013(10.4)
	否	12 908		7 498(58.1)	2 029(15.7)	688(5.3)	1 237(9.6)
			χ²值	46.46	23.64	19.98	4.36
			P值	< 0.01	< 0.01	< 0.01	0.04
学习日是否住校	是	11 320		7 529(66.5)	1 913(16.9)	707(6.2)	1 305(11.5)
	否	11 308		6 051(53.5)	1 886(16.7)	637(5.6)	945(8.4)
			χ²值	398.38	0.20	3.80	63.54
			P值	< 0.01	0.66	0.05	< 0.01
父亲文化程度^a	高中以下	13 006		7 867(60.5)	2 018(15.5)	700(5.4)	1 310(10.1)
	高中及以上	9 424		5 586(59.3)	1 736(18.4)	618(6.6)	904(9.6)
			χ²值	3.35	33.10	13.66	1.41
			P值	0.07	< 0.01	< 0.01	0.23
母亲文化程度^b	高中以下	14 335		8 676(60.5)	2 253(15.7)	764(5.3)	1 435(10.0)
	高中及以上	8 105		4 779(59.0)	1 496(18.5)	548(6.8)	777(9.6)
			χ²值	5.25	27.95	19.28	1.05
			P值	0.02	< 0.01	< 0.01	0.31
自评家庭经济状况	差	3 240		2 186(67.5)	577(17.8)	258(8.0)	409(12.6)
	一般	16 345		9 595(58.7)	2 560(15.7)	823(5.0)	1 499(9.2)
	良好	3 043		1 799(59.1)	662(21.8)	263(8.6)	342(11.2)
			χ²值	87.76	70.98	87.48	42.58
			P值	< 0.01	< 0.01	< 0.01	< 0.01
健康素养	低水平	5 300		3 574(67.4)	1 017(19.2)	401(7.6)	682(12.9)
	中水平	11 842		7 193(60.7)	1 959(16.5)	645(5.4)	1 170(9.9)
	高水平	5 486		2 813(51.3)	823(15.0)	298(5.4)	398(7.3)
			χ_趋势²值	298.76	34.90	32.78	94.96
			P值	< 0.01	< 0.01	< 0.01	< 0.01
合计		22 628		13 580(60.0)	3 799(16.8)	1 344(5.9)	2 250(9.9)
注：()内数字为报告率/%；a表示198名未与父亲共同生活，b表示188名未与母亲共同生活。

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表 2 中国6城市中学生健康素养与饮酒行为关联的多因素Logistic回归分析(n=22 628)

Table 2. Associations of health literacy and drinking behaviors among middle school students in six provinces in China by multiple Logistic regression analysis (n=22 628)

饮酒行为	健康素养	β值	标准误	Wald χ²值	P值	OR值(OR值95%CI)
曾经饮酒^a	高水平					1.00
	中水平	0.33	0.04	92.52	< 0.01	1.40(1.30~1.49)
	低水平	0.56	0.04	177.51	< 0.01	1.76(1.62~1.91)
最近饮酒^b	高水平					1.00
	中水平	0.17	0.05	13.09	< 0.01	1.19(1.08~1.30)
	低水平	0.31	0.05	33.26	< 0.01	1.37(1.23~1.52)
过量饮酒^b	高水平					1.00
	中水平	0.04	0.08	0.26	0.61	1.04(0.90~1.20)
	低水平	0.33	0.08	15.27	< 0.01	1.39(1.18~1.63)
出现醉酒症状^c	高水平					1.00
	中水平	0.29	0.06	21.37	< 0.01	1.33(1.18~1.50)
	低水平	0.52	0.07	58.13	< 0.01	1.68(1.47~1.92)
注： a调整性别、学段、家庭所在地、是否独生子女、学习日是否住校、母亲文化程度和自评家庭经济状况因素，b调整性别、学段、家庭所在地、是否独生子女、父/母亲文化程度和自评家庭经济状况因素，c调整性别、学段、家庭所在地、是否独生子女、学习日是否住校和自评家庭经济状况因素。

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