武陵山区青少年危害健康行为潜在类别及与学校联结的关联

张天成; 周县委; 徐涛; 张福兰; 王澳伦

doi:10.16835/j.cnki.1000-9817.2024127

武陵山区青少年危害健康行为潜在类别及与学校联结的关联

doi: 10.16835/j.cnki.1000-9817.2024127

1.
吉首大学体育科学学院，湖南 416000
2.
广西师范大学体育与健康学院

基金项目:

教育部人文社会科学研究规划基金项目 22YJA880086

湖南省教育厅科学研究重点项目 21A0346

湖南省哲学社会科学基金一般项目 19YBA285

详细信息

作者简介:
张天成(1970-)，男，湖南衡阳人，硕士，教授，主要研究方向为青少年体质与健康促进

通讯作者:
周县委，E-mail: njzxxianwei007@163.com

利益冲突声明 所有作者声明无利益冲突。
中图分类号: R179 C913.5 G478 G479
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- 被引次数: 0
出版历程
- 收稿日期: 2024-01-02
- 修回日期: 2024-01-21
- 网络出版日期: 2024-04-25
- 刊出日期: 2024-04-25

Latent classes of health-risk behaviors and their association with school connectedness among adolescents in the Wuling Mountain Area

1.
Physical Education Institute, Jishou University, Jishou (416000), Hunan Province, China

摘要

摘要: 目的了解武陵山区青少年危害健康行为潜在类别及其与学校联结的关联，为制定分类高效干预措施提供参考。方法于2023年3—6月，运用多阶段分层整群随机抽样法抽取武陵山区8所学校的3 386名初、高中学生为调查对象，采用基本信息问卷、危害健康行为问卷、学校联结量表进行调查。采用潜在类别分析探究武陵山区青少年危害健康行为的潜在类别，运用无序多分类Logistic回归模型分析潜在类别与学校联结的关联。结果武陵山区青少年危害健康行为可分为外显行为高风险组(5.64%)、内隐行为高风险组(26.90%)、低风险组(67.45%)3个潜在类别；不同性别、民族、家庭类型的青少年在外显行为高风险组、内隐行为高风险组和低风险组3个潜在类别组的分布差异均有统计学意义(χ²值分别为117.91，22.55，21.51，P值均 < 0.05)；无序多分类Logistic回归模型分析结果显示，以低风险组为参照，学校联结得分高与外显行为高风险组(OR=0.89，95%CI=0.88~0.91)和内隐行为高风险组(OR=0.90，95%CI=0.89~0.91)均呈负相关(P值均 < 0.05)。结论武陵山区青少年危害健康行为类别特征明显，外显行为高风险组、内隐行为高风险组均与学校联结存在负向关联。应积极采取相应措施，提高青少年学校归属感，降低危害健康行为的聚集共存状况。
- 危险行为 /
- 学校联结 /
- 回归分析 /
- 青少年
Abstract: Objective To understand the potential categories of health-risk behaviors among adolescents in the Wuling Mountain Area and their association with school connectedness, so as to provide reference for formulating classified and effective intervention measures. Methods From March to June 2023, 3 386 middle and high school students from eight schools in the Wuling Mountain Area were selected using the multistage stratified cluster random sampling method. A basic information questionnaire, health-risk behaviors questionnaire, and school connectedness scale were utilized for the survey. The latent classes of adolescent health-risk behaviors in the Wuling Mountain Area were investigated by using latent class analysis, while an multinomial Logistic regression model was employed to analyze the association between latent classes and school connectedness. Results Adolescent health-risk behaviors in the Wuling Mountains Area were classified into three latent classes: high-risk class of episodic behaviors (5.64%), high-risk class of implicit behaviors (26.90%), and low-risk class of implicit behaviors (67.45%). Gender, ethnicity, and family type revealed significant differences in the distribution of the three latent classes (χ²=117.91, 22.55, 21.51, P < 0.05). The results of the regression model analysis showed that, with the low-risk class as the reference category, high school connectedness scores were associated with the high-risk class of episodic behaviors (OR=0.89, 95%CI=0.88-0.91) and the high-risk class of implicit behaviors (OR=0.90, 95%CI=0.89-0.91)(P < 0.05). Conclusions The characteristics of adolescent health-risk behavior classes in the Wuling Mountain Area are obvious. The high-risk class of episodic behaviors and the high-risk class of implicit behaviors are negatively correlated with school connectedness. Corresponding measures should be taken to enhance adolescents' sense of belonging in school and reduce the aggregation and co-occurrence of health-risk behaviors.
- Dangerous behaivor /
- School connections /
- Regression analysis /
- Adolescent
注释:

1) 利益冲突声明 所有作者声明无利益冲突。

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图 1 武陵山区青少年不同潜类别组危害健康行为报告率

Figure 1. Reporting rate of health-risk behaviors among adolescents in different latent groups in Wuling Mountain Area

下载: 全尺寸图片幻灯片

表 1 武陵山区青少年危害健康行为潜类别模型1~5类拟合指标(n=3 386)

Table 1. Fitting indicators of Category 1 to 5 of the latent category model of health-risk behaviors among adolescents in Wuling Mountain Area(n=3 386)

模型	参数条目	AIC值	BIC值	aBIC值	Entropy值	P_LMR值	P_BLRT值	类别概率
1	9	31 585.13	31 640.27	31 611.68	1.00			1.00
2	19	29 418.83	29 535.25	29 474.88	0.75	< 0.01	< 0.01	0.31/0.69
3	29	29 008.72	29 186.42	29 094.27	0.83	< 0.01	< 0.01	0.06/0.27/0.68
4	39	28 822.56	29 061.52	28 937.60	0.77	0.14	< 0.01	0.65/0.05/0.04/0.26
5	49	28 679.41	28 979.65	28 823.96	0.66	0.01	< 0.01	0.58/0.16/0.04/0.05/0.17

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表 2 武陵山区不同人口学特征青少年危害健康行为潜在类别组分布比较

Table 2. Comparison of distribution of the potential categories of health-risk behaviors among adolescents with different characteristics in Wuling Mountain Area

人口学指标	选项	人数	外显行为高风险组	内隐行为高风险组	低风险组	χ²值	P值
性别	男	1 760	146(8.30)	354(20.11)	1 260(71.59)	117.91	< 0.01
	女	1 626	45(2.77)	557(34.26)	1 024(62.98)
学段	初中	1 656	83(5.01)	448(27.05)	1 125(67.93)	2.41	0.30
	高中	1 730	108(6.24)	463(26.76)	1 159(66.99)
民族	汉族	641	30(4.68)	183(28.55)	428(66.77)	22.55	0.01
	土家族	2 293	137(5.97)	583(25.43)	1 573(68.60)
	苗族	404	17(4.21)	131(32.43)	256(63.36)
	侗族	14	2(14.29)	4(28.57)	8(57.14)
	其他民族	34	5(14.71)	10(29.41)	19(55.88)
城乡	农村	719	42(5.84)	218(30.32)	459(63.84)	5.79	0.06
	城市	2 667	149(5.59)	693(25.98)	1 825(68.43)
独生子女	是	565	35(6.19)	161(28.50)	369(65.31)	1.47	0.48
	否	2 821	156(5.53)	750(26.59)	1 915(67.88)
住校	是	2 973	166(5.58)	793(26.67)	2 014(67.74)	0.93	0.63
	否	413	25(6.05)	118(28.57)	270(65.38)
留守	是	746	50(6.70)	212(28.42)	484(64.88)	3.67	0.16
	否	2 640	141(5.34)	699(26.48)	1 800(68.18)
父亲学历	小学及以下	676	34(5.03)	199(29.44)	443(65.53)	8.70	0.19
	初中	1 636	95(5.81)	421(25.73)	1 120(68.46)
	高中	728	37(5.08)	187(25.69)	504(69.23)
	大学及以上	346	25(7.23)	104(30.06)	217(62.72)
母亲学历	小学及以下	1 114	61(5.48)	327(29.35)	726(65.17)	12.09	0.06
	初中	1 421	82(5.77)	348(24.49)	991(69.74)
	高中	589	28(4.75)	158(26.83)	403(68.42)
	大学及以上	262	20(7.63)	78(29.77)	164(62.60)
家庭类型	核心家庭	1 944	112(5.76)	496(25.51)	1 336(68.72)	21.51	0.01
	三代同堂	866	48(5.54)	217(25.06)	601(69.40)
	单亲家庭	246	13(5.28)	90(36.59)	143(58.13)
	重组家庭	215	13(6.05)	69(32.09)	133(61.86)
	其他家庭	115	5(4.35)	39(33.91)	71(61.74)
注：()内数字为构成比/%；核心家庭指子女与父母一起生活的家庭，其他家庭主要包括隔代家庭、亲戚朋友为监护人的家庭。

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