江西省大学生超重肥胖睡眠时间现状及其相关性

陈婷; 何亦斌; 范奕; 宋孝光; 方晓艳; 朱慧

doi:10.16835/j.cnki.1000-9817.2022.10.031

江西省大学生超重肥胖睡眠时间现状及其相关性

doi: 10.16835/j.cnki.1000-9817.2022.10.031

陈婷¹,
何亦斌^2, ,,
范奕¹,
宋孝光¹,
方晓艳¹,
朱慧¹

1.
江西省疾病预防控制中心公共卫生研究所，南昌 330029
2.
江西省第五人民医院办公室

基金项目:

江西省卫生健康委科技计划资助项目 20204842

详细信息

作者简介:
陈婷(1983-)，女，江西高安人，硕士，主管医师，主要从事学校卫生工作

通讯作者:
何亦斌，E-mail: 82282256@qq.com

利益冲突声明 所有作者声明无利益冲突。
中图分类号: R723.14 G647.8 R179
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出版历程
- 收稿日期: 2022-03-01
- 修回日期: 2022-06-01
- 网络出版日期: 2022-10-28
- 刊出日期: 2022-10-25

Prevalence and associations of overweight obesity and sleep duration among university students in Jiangxi Province

1.
Institute of Public Health, Jiangxi Province Center for Disease Control and Prevention, Nanchang(330029), China

摘要

摘要: 目的了解江西省大学生超重肥胖、睡眠时间现状及二者相关性，为制定大学生超重肥胖防控措施提供依据。方法 2019年9—10月，采用分层随机整群抽样法对江西省11个设区市2 605名大学生进行体格检查和问卷调查。结果江西省大学生超重肥胖、肥胖检出率分别为13.0%，3.6%。男生超重肥胖和肥胖检出率(20.8%，6.0%)均高于女生(8.4%，2.1%)(χ²值分别为82.34，25.79，P值均＜0.01)。不同经济片区中，超重肥胖、肥胖检出率均以好片区最高(15.8%，5.6%)，其次分别为差片区(13.6%，10.3%)和中片区(3.6%，2.0%)，差异均有统计学意义(χ²值分别为11.57，14.62，P值均＜0.01)。大学生平均睡眠时间为(7.48±1.26)h/d，睡眠充足、不足及过量率分别为69.1%，17.6%，13.3%。男生平均睡眠时间[(7.61±1.46) h/d]高于女生[(7.41±1.11)h/d](t=4.00，P＜0.01)；睡眠不足率(15.6%)低于女生(18.8%)，睡眠过量率(16.1%)高于女生(11.6%)，差异有统计学意义(χ²=12.83，P＜0.01)。多因素Logistic回归分析显示，睡眠不足者超重肥胖、肥胖的风险分别是睡眠充足者的1.41倍和1.69倍(P值均＜0.05)。结论江西省大学生超重肥胖问题严重，睡眠不足问题堪忧，且睡眠不足是江西省大学生超重肥胖的相关因素。应保证学生正常睡眠时间，降低超重肥胖的发生风险。
- 超重 /
- 肥胖症 /
- 睡眠 /
- 时间 /
- 回归分析 /
- 学生
Abstract: Objective To investigate prevalence of overweight, obesity and sleep duration and its associations among university students in Jiangxi Province, and to provide the basis for developing strategies for prevention and treatment of overweight and obesity among university students. Methods Using the stratified random cluster sampling, 2 605 university students in 11 districts of Jiangxi Province were investigated with physical examination and questionnaire survey during September to October in 2019. Results The detection rates of overweight-obesity, obesity of university students in Jiangxi Province were 13.0% and 3.6%, respectively. The detection rates of overweight-obesity, obesity of boys(20.8%, 6.0%) were higher than girls(8.4%, 2.1%)(χ²=82.34, 25.79, P < 0.01). Significant differences were found in prevalence of overweight-obesity and obesity by economic areas, with highest overweight-obesity in high economic area(15.8%), followed by moderate(13.6%) and poor economicareas(10.3%), and highest obesity in high economic areas(5.6%), followed by poor(3.6%) and moderate economic areas(2.1%)(χ²=11.57, 14.62, P < 0.01).The average sleep duration was (7.48±1.26) h/d.The rates of adequate sleep, insufficient sleep and excessive sleep were 69.1%, 17.6% and 13.3%, respectively.The average sleep time of boys[(7.61±1.46)h/d]was more than that of girls[(7.41±1.11)h/d](t=4.00, P < 0.01).The rate of insufficient sleep of boys (15.6%) was lower than that of girls (18.8%), the rate of insufficient sleep of boys (16.1%) was higher than that of girls (11.6%), and the differences were statistically significant(χ²=12.38, P < 0.01).The results of multivariate Logistic regression analysis showed that the risk of overweight and obesity, obesity in those with insufficient sleep was 1.41 times and 1.69 times that in those with sufficient sleep, respectively(P < 0.05). Conclusion The problem of overweight and obesity of university students in Jiangxi Province is serious, and the problem of insufficient sleep is worrying, and insufficient sleep is a related factor for overweight and obesity among university students in Jiangxi Province. They should develop good sleep habits and ensure normal sleep time to reduce the risk of overweight and obesity.
- Overweight /
- Obesity /
- Sleep /
- Time /
- Regression analysis /
- Students
注释:

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表 1 不同组别大学生超重肥胖检出率比较

Table 1. Comparison of overweight, obesity and obesity detection rates among college students in different groups

组别	选项	人数	统计值	超重肥胖人数	肥胖人数
性别	男	973		202(20.8)	58(6.0)
	女	1 632		137(8.4)	35(2.1)
			χ²值	82.34	25.79
			P值	< 0.01	< 0.01
经济片区	好	720		114(15.8)	40(5.6)
	中	952		98(10.3)	34(3.6)
	差	933		127(13.6)	19(2.0)
			χ²值	11.57	14.62
			P值	< 0.01	< 0.01
过去1周喝含糖饮料/(次·d^-1)^*	< 1	2 405		300(12.5)	81(3.4)
过去1周喝含糖饮料/(次·d^-1)^*	≥1	198		39(19.7)	12(6.1)
			χ²值	8.43	3.85
			P值	< 0.01	0.05
过去1周吃甜食/(次·d^-1)^*	＜1	2 442		322(13.2)	88(3.6)
过去1周吃甜食/(次·d^-1)^*	≥1	161		17(10.6)	5(3.1)
			χ²值	0.92	0.11
			P值	0.34	0.74
过去1周吃油炸食物/(次·d^-1)^*	＜1	2 505		331(13.2)	91(3.6)
过去1周吃油炸食物/(次·d^-1)^*	≥1	98		8(8.2)	2(2.0)
			χ²值	2.12	0.31
			P值	0.15	0.58
过去1周吃新鲜水果/(次·d^-1)^*	＜1	1 667		211(12.7)	56(3.4)
过去1周吃新鲜水果/(次·d^-1)^*	≥1	936		128(13.7)	37(4.0)
			χ²值	0.55	0.61
			P值	0.46	0.43
过去1周吃蔬菜/(次·d^-1)^*	＜1	593		74(12.5)	19(3.2)
过去1周吃蔬菜/(次·d^-1)^*	≥1	2 010		265(13.2)	74(3.7)
			χ²值	0.20	0.30
			P值	0.65	0.58
过去1周吃早餐^*	天天吃	1 637		209(12.8)	60(3.7)
过去1周吃早餐^*	未天天吃	966		130(13.5)	33(3.4)
			χ²值	0.26	0.11
			P值	0.61	0.74
过去1周每天中高强度运动≥60 min^*	是	287		40(13.9)	11(3.8)
过去1周每天中高强度运动≥60 min^*	否	2 316		299(12.9)	82(3.5)
			χ²值	0.24	0.06
			P值	0.63	0.80
过去1周上体育课/节^*	＜2	1 544		216(14.0)	61(4.0)
过去1周上体育课/节^*	≥2	1 059		123(11.6)	32(3.0)
			χ²值	3.13	1.57
			P值	0.08	0.21
过去1周看电视时长/(h·d^-1)^*	＜2	2 178		286(13.1)	76(3.5)
过去1周看电视时长/(h·d^-1)^*	≥2	425		53(12.5)	17(4.0)
			χ²值	0.14	0.27
			P值	0.71	0.60
过去1周用电脑时长/(h·d^-1)^*	＜2	2 118		259(12.2)	65(3.1)
过去1周用电脑时长/(h·d^-1)^*	≥2	485		80(16.5)	28(5.8)
			χ²值	6.34	8.38
			P值	0.01	< 0.01
过去1周使用移动电子设备时长/(h·d^-1)^*	＜2	253		32(12.6)	10(4.0)
过去1周使用移动电子设备时长/(h·d^-1)^*	≥2	1 495		191(12.8)	56(3.7)
			χ²值	< 0.01	0.03
			P值	0.96	0.87
注：()内数字为检出率/%；*表示有部分缺失数据。

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表 2 大学生睡眠时间与超重肥胖、肥胖Logistic回归分析(n=2 564)

Table 2. Logistic regression analysis of the relationship of sleep duration and overweight and obesity, obesity in university students(n=2 564)

自变量	选项	超重肥胖					肥胖
自变量	选项	β值	标准误	Wald χ²值	P值	OR值(OR值95%CI)	β值	标准误	Wald χ²值	P值	OR值(OR值95%CI)
睡眠状况	不足	0.35	0.15	5.21	0.02	1.41(1.05~1.90)	0.52	0.26	4.04	0.04	1.69(1.01~2.81)
	过量	-0.04	0.18	0.04	0.84	0.96(0.67~1.38)	-0.30	0.35	0.75	0.39	0.74(0.37~1.47)
过去1周喝含糖饮料/(次·d^-1)	≥1	0.36	0.20	3.38	0.07	1.44(0.98~2.11)
过去1周用电脑时长/(h·d^-1)	≥2	-0.03	0.15	0.05	0.83	0.97(0.72~1.30)	0.24	0.25	0.90	0.34	1.27(0.78~2.07)
经济片区	中	-0.08	0.16	0.23	0.63	0.93(0.67~1.27)	-0.07	0.26	0.08	0.77	0.93(0.56~1.55)
	差	0.07	0.15	0.19	0.66	1.07(0.80~1.43)	-0.87	0.29	8.82	＜0.01	0.42(0.23~0.74)
性别	女	-1.00	0.13	57.50	＜0.01	0.37(0.28~0.48)	-1.03	0.25	17.36	＜0.01	0.36(0.22~0.58)

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