衢州市中学生近视超重肥胖抑郁共存相关因素及预测模型构建

徐皓轩; 王圣贤; 任斐; 戴黎萍; 来时明; 赵士光

doi:10.16835/j.cnki.1000-9817.2025229

衢州市中学生近视超重肥胖抑郁共存相关因素及预测模型构建

doi: 10.16835/j.cnki.1000-9817.2025229

徐皓轩^{1, 2},
王圣贤¹,
任斐¹,
戴黎萍³,
来时明¹,
赵士光^1, ,

1.
浙江省衢州市疾病预防控制中心营养与食品安全科，324000
2.
宁波大学医学部公共卫生医学院
3.
衢州市开化县疾病预防控制中心卫生监测与评价科

基金项目:

2022年衢州市指导性科技攻关项目 2022065

衢州市医学重点学科(慢性病预防与控制) CX-2023-04

详细信息

作者简介:
徐皓轩(1994-)，男，浙江开化人，硕士，主管医师，主要研究方向为学生常见病监测与防控

通讯作者:
赵士光，E-mail：35405150@qq.com

利益冲突声明 所有作者声明无利益冲突。
中图分类号: G444 R778.1⁺¹ R723.14
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- HTML全文浏览量: 9
- PDF下载量: 1
- 被引次数: 0
出版历程
- 收稿日期: 2025-02-25
- 修回日期: 2025-04-07
- 网络出版日期: 2025-08-30
- 刊出日期: 2025-08-25

Determinants and prediction model construction of coexistence of myopia, overweight/obesity and depressive symptoms among middle school students in Quzhou City

1.
Department of Nutrition and Food Safety, Quzhou Center for Disease Control and Prevention, Quzhou 324000, Zhejiang Province, China

摘要

摘要: 目的了解衢州市中学生近视、超重肥胖和抑郁共存现状及其相关因素，为学生常见病多病共防提供决策参考。方法 2023年9—11月，采用分层随机整群抽样方法抽取衢州市6个县(市、区)的5 867名初、高中学生开展体格和视力检查，并填写抑郁量表和学生健康状况及相关因素调查表。采用多因素Logistic回归分析中学生近视、超重肥胖及抑郁共存相关因素，根据结果构建列线图模型。结果衢州市中学生近视超重肥胖抑郁共存检出161名，检出率为2.74%。多因素Logistic回归分析结果显示，年龄越大(OR=1.11)、不健康饮食行为越多(1，2，≥3种)(OR值分别为2.40，2.70，4.63)、睡眠缺乏(OR=1.78)和饮酒(OR=2.11)的中学生近视超重肥胖抑郁共存风险增加；相较课后无作业，课后作业时长1~ < 2 h的中学生近视超重肥胖抑郁共存风险降低(OR=0.53)(P值均＜0.05)。列线图模型结果显示，AUC(95%CI)为0.71(0.67~0.74)。讨论衢州市中学生近视超重肥胖抑郁共存与年龄、睡眠、饮酒、不良饮食行为和课后作业时长有关，列线图模型可辅助学生多病共存的早期筛查和干预。
- 近视 /
- 超重 /
- 肥胖症 /
- 抑郁 /
- 共病现象 /
- 回归分析 /
- 学生
Abstract: Objective To investigate the coexistence of comorbidity of myopia, overweight/obesity and depressive symptoms among middle school students in Quzhou and its associated factors, so as to provide evidence for integrated prevention and control of common multiple health issues in students. Methods From September to November 2023, a total of 5 867 middle school students from 6 counties (cities and districts) in Quzhou City were selected by stratified random cluster sampling. Physical and visual examinations were conducted, and the Center for Epidemiological Studies - Depression Scale (CES-D) along with a questionnaire on health status and influencing factors were completed. Multivariate Logistic regression was used to analyze the related factors of coexistence of myopia, overweight/obesity, and depressive symptoms among middle school students, and a nomogram model was constructed based on the results. Results A total of 161 middle school students in Quzhou City were identified as having comorbid myopia, overweight/ obesity and depressive symptoms, with a detection rate of 2.74%. The results of multivariate Logistic regression analysis showed that the coexistence of myopia, overweight/obesity and depressive symptoms increased among middle school students with older age (OR=1.11), a greater number unhealthy dietary behaviors (1, 2, ≥3; OR=2.40, 2.70, 4.63), insufficient sleep(OR=1.78) and alcohol consumption (OR=2.11)(all P < 0.05). Compared with no homework after class, those whose homework duration after class was 1 to < 2 hour had a lower risk of comorbidity of myopia, overweight/obesity and depressive symptoms (OR=0.53, P < 0.05). The results of the nomogram model showed that the AUC (95%CI) was 0.71 (0.67-0.74). Conclusions The coexistence of myopia, overweight/obesity and depressive symptoms among middle school students in Quzhou City is related to age, sleeping, alcohol consumption, poor dietary behavior and the duration of after-school homework. The nomogram model can assist in the early screening and intervention of multiple health issues among students.
- Myopia /
- Overweight /
- Obesity /
- Depression /
- Comorbidity /
- Regression analysis /
- Students
注释:

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图 1 衢州市中学生近视超重肥胖抑郁共存风险

Figure 1. The risk of coexistence of myopia, overweight/obesity and depression among middle school students in Quzhou City

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表 1 衢州市不同组别中学生近视超重肥胖抑郁共存检出率比较

Table 1. Comparison of coexistence rates of myopia, overweight, obesity and depression among middle school students with different groups in Quzhou City

组别	选项	人数	统计值	近视	超重肥胖	抑郁	多病共存
性别	男	3 014		2 406(79.83)	794(26.34)	392(13.01)	81(2.69)
	女	2 853		2 449(85.84)	472(16.54)	502(17.60)	80(2.80)
			χ²值	37.11	83.12	23.90	0.08
			P值	＜0.01	＜0.01	＜0.01	0.79
学段	初中	3 266		2 570(78.69)	702(21.49)	365(11.18)	64(1.96)
	普通高中	2 115		1 903(89.98)	461(21.80)	442(20.90)	82(3.88)
	职业高中	486		382(78.60)	103(21.19)	87(17.90)	15(3.09)
			χ²值	120.96	0.12	96.86	17.92
			P值	＜0.01	0.94	＜0.01	＜0.01
年龄/岁	12	1 087		745(74.43)	233(23.28)	67(6.69)	12(1.20)
	13	1 125		841(79.41)	226(21.34)	136(12.84)	21(1.98)
	14	1 054		871(81.48)	216(20.21)	139(13.00)	25(2.34)
	15	712		761(84.93)	188(20.98)	172(19.20)	29(3.24)
	16	688		754(88.81)	216(25.44)	166(19.55)	34(4.00)
	17	715		742(88.54)	163(19.45)	175(20.88)	32(3.82)
	18	163		141(90.97)	24(15.48)	39(25.16)	8(5.16)
			χ²值	109.94	16.25	121.03	24.80
			P值	＜0.01	0.01	＜0.01	＜0.01
城乡	城区	2 588		2 114(81.68)	564(21.79)	375(14.49)	69(2.67)
	郊县	3 279		2 741(83.59)	702(21.41)	519(15.83)	92(2.81)
			χ²值	3.69	0.13	2.01	0.11
			P值	0.06	0.72	0.16	0.75
民族	汉族	5 733		4 743(82.73)	1 227(21.40)	873(15.23)	155(2.70)
	其他民族	134		112(83.58)	39(29.10)	21(15.67)	6(4.48)
			χ²值	0.07	4.59	0.02	0.95
			P值	0.80	0.03	0.89	0.33
家庭类型	常态家庭	4 294		3 592(83.65)	934(21.75)	619(14.42)	111(2.59)
	非常态家庭	1 573		1 263(80.29)	332(21.11)	275(17.48)	50(3.18)
			χ²值	9.10	0.28	8.39	1.52
			P值	＜0.01	0.60	＜0.01	0.22
注： ()内数字为检出率/%。

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