Association between biorhythm disorders and the co-occurrence of health-risk behaviors in adolescence
-
摘要:
目的 阐述青少年生物节律紊乱与健康危险行为共存的相关性,为青少年健康危险行为的干预提供参考依据。 方法 于2023年3—4月基于方便抽样和分层随机整群抽样的方法,选取上海市2 381名青少年为研究对象,采用青少年生物节律紊乱评定问卷(SQBRDA)、自编健康危险行为调查表调查青少年生物节律紊乱状况和9种健康危险行为,运用多元Logistic回归模型分析两者之间的相关性。 结果 青少年生物节律紊乱平均得分为(68.25±0.42)分。健康危险行为无共存、轻度共存、中度共存和重度共存组的检出人数分别为234(9.83%)、1 176(49.39%)、830(34.86%)和141(5.92%)名。生物节律紊乱总得分与健康危险行为共存发生风险呈正向关联,生物节律紊乱高分组的青少年发生健康危险行为轻度共存、中度共存、重度共存的风险分别是低分组的9.05倍(95%CI=4.25~19.15)、44.55倍(95%CI=20.75~96.05)、110.05倍(95%CI=40.65~297.95)(P值均 < 0.01)。 结论 上海市青少年健康危险行为呈现较严峻的共存现象,生物节律紊乱与健康危险行为共存发生风险呈正向关联,可通过调节生物节律紊乱来综合性干预青少年健康危险行为。 Abstract:Objective To elucidate the association between biorhythm disorders and health-risk behaviors in adolescence, so as to provide reference for appropriate interventions. Methods From March to April 2023, 2 381 adolescents in Shanghai were selected as research objects using convenience sampling and stratified random cluster sampling methods. The Self-rating Questionnaire of Biological Rhythm Disorders for Adolescents (SQBRDA) and the self-report health-risk behaviors questionnaire were used to investigate the status of adolescent biorhythm disorders and nine kinds of health-risk behaviors, while a multivariate Logistic regression model was employed to analyze the association between the two variables. Results The average SQBRDA score was (68.25±0.42) The incidence and detection rates of health risk behaviors in the groups with no co-occurrence, mild co-occurrence, moderate co-occurrence, and severe co-occurrence were 234(9.83%), 1 176(49.39%), 830(34.86%) and 141(5.92%), respectively. The total SQBRDA score was positively correlated with the risk of co-occurrence of health-risk behaviors. The risk of mild co-occurrence, moderate co-occurrence, and severe co-occurrence of health-risk behaviors was 9.05 times (95%CI=4.25-19.15, P < 0.01), 44.55 times (95%CI=20.75-96.05, P < 0.01) and 110.05 times (95%CI=40.65-297.95, P < 0.01) higher, respectively, among adolescents with higher scores of biorhythm disorders compared to adolescents with lower scores of biorhythm disorders. Conclusions Health-risk behaviors among adolescents in Shanghai draw attention to a serious phenomenon whereby biorhythm disorders are positively correlated with the risk of co-occurrence. Comprehensive interventions aimed at addressing adolescent health-risk behaviors should focus on regulating biorhythm disorders. -
Key words:
- Biological rhythm /
- Dangerous behavior /
- Regression analysis /
- Adolescent
1) 利益冲突声明 所有作者声明无利益冲突。2) 翟娅妮与王雪莱为共同第一作者。 -
表 1 不同生物节律紊乱得分组青少年健康危险行为检出率比较
Table 1. Comparison of the detection rates of health-risk behaviors among different groups of biorhythms disorders in adolescents
组别 人数 快餐/外卖消费多 不天天吃早餐 蔬菜摄入不足 水果摄入不足 喜爱喝含糖饮料 饮酒 吸烟 体力活动不足 视屏时间长 低分组 599 282(47.08) 110(18.36) 21(3.51) 39(6.51) 493(82.30) 27(4.51) 1(0.17) 286(47.75) 164(27.38) 中分组 1 155 638(55.24) 365(31.60) 61(5.28) 212(18.35) 1 059(91.69) 77(6.67) 8(0.69) 635(54.98) 667(57.75) 高分组 627 414(66.03) 340(54.23) 107(17.07) 185(29.51) 596(95.06) 90(14.35) 14(2.23) 384(61.24) 487(77.67) χ2值 44.78 175.99 78.33 108.20 55.83 40.18 13.81 22.49 312.04 P值 < 0.01 < 0.01 < 0.01 < 0.01 < 0.01 < 0.01 < 0.01 < 0.01 < 0.01 注: ()内数字为检出率/%。 表 2 不同人口学特征青少年健康危险行为共存状况分布比较
Table 2. Comparison of co-occurrence of health-risk behaviors among adolescents with different characteristics
人口学指标 选项 人数 无共存组 轻度共存组 中度共存组 重度共存组 χ趋势2值 学段 初中 1 222 177(14.48) 673(55.07) 339(27.74) 33(2.70) 152.03** 高中 1 159 57(4.92) 503(43.40) 491(42.36) 108(9.32) 性别 男 1 154 129(11.18) 609(52.77) 353(30.59) 63(5.46) 17.51** 女 1 227 105(8.56) 567(46.21) 477(38.88) 78(6.36) 独生子女 是 1 671 145(8.68) 838(50.15) 594(35.55) 94(5.63) 1.59 否 710 89(12.54) 338(47.61) 236(33.24) 47(6.62) 父亲文化程度 初中及以下 280 60(10.34) 270(46.55) 217(37.41) 33(5.69) 3.55 高中或中专 778 61(7.84) 382(49.10) 286(36.76) 49(6.30) 大专及以上 1 023 113(11.05) 524(51.22) 327(31.96) 59(5.77) 母亲文化程度 初中及以下 652 72(11.04) 299(45.86) 238(36.50) 43(6.60) 2.88 高中或中专 732 67(9.15) 348(47.54) 270(36.89) 47(6.42) 大专及以上 997 95(9.53) 529(53.06) 322(32.30) 51(5.12) 家庭经济条件 差 276 13(4.71) 116(42.03) 117(42.39) 30(10.87) 27.71** 中等 1 698 174(10.25) 838(49.35) 595(35.04) 91(5.36) 好 407 47(11.55) 222(54.55) 118(28.99) 20(4.91) 关系密切的朋友数量/个 ≤2 641 47(7.33) 301(46.96) 243(37.91) 50(7.80) 24.05** 3~5 1 074 102(9.50) 524(48.79) 386(35.94) 62(5.77) ≥6 666 85(12.76) 351(52.70) 201(30.18) 29(4.35) 学习负担 轻 207 30(14.49) 106(51.21) 56(27.05) 15(7.25) 46.27** 一般 1 423 159(11.17) 750(52.71) 449(31.55) 65(4.57) 重 751 45(5.99) 320(42.61) 325(43.28) 61(8.12) 家庭结构 双亲家庭 2 054 211(10.27) 1 032(50.24) 692(33.69) 119(5.79) 9.55* 非双亲家庭 327 23(7.03) 144(44.04) 138(42.20) 22(6.73) 生物节律紊乱 高分组 627 8(1.28) 193(30.78) 326(51.99) 100(15.95) 443.32** 中分组 1 155 75(6.49) 638(55.24) 411(35.58) 31(2.68) 低分组 599 151(25.21) 345(57.60) 93(15.53) 10(1.67) 注: ()内数字为构成比/%;*P < 0.05,**P < 0.01。 表 3 生物节律紊乱与青少年健康危险行为共存的多元Logistic回归分析[OR值(95%CI),n=2 381]
Table 3. Multiple Logistic regression analysis of biorhythm disorders and the co-occurrence of health-risk behaviors among adolescents[OR(95%CI), n=2 381]
模型 生物节律紊乱分组 轻度共存组 中度共存组 重度共存组 模型1 低分组 1.00 1.00 1.00 中分组 3.72(2.74~5.06) 8.90(6.23~12.71) 6.24(2.91~13.41) 高分组 10.56(5.08~21.97) 66.16(31.33~139.72) 188.75(72.02~494.65) 模型2 低分组 1.00 1.00 1.00 中分组 3.55(2.55~4.85) 7.45(5.15~10.85) 4.95(2.25~10.75) 高分组 9.05(4.25~19.15) 44.55(20.75~96.05) 110.05(40.65~297.95) 注:因变量以无共存组为参照;模型1未控制协变量,模型2控制了学段、性别、家庭经济条件、关系密切的朋友数量、学习负担、家庭结构;P值均 < 0.01。 -
[1] 季成叶. 中国青少年健康相关/危险行为调查综合报告2005[M]. 北京: 北京大学医学出版社, 2005.JI C Y. A comprehesive report on the survey of health-related/risky behaviors among Chinese adolescents 2005[M]. Beijing: Peking University Medical Press, 2005. (in Chinese) [2] 贾至慧, 陈飞宇, 李旭阳, 等. 江西省农村中小学生健康危险行为共发性及关联性[J]. 中国公共卫生, 2022, 38(1): 29-32. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGW202201007.htmJIA Z H, CHEN F Y, LI X Y, et al. Co-occurrence and intercorelation of health risk behaviors among rural primary and middle school students in Jiangxi Province[J]. Chin J Public Health, 2022, 38(1): 29-32. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGW202201007.htm [3] HU J, YANG R, LI D, et al. A latent class analysis of psychological symptoms and health risk behaviors among Chinese adolescents[J]. Asian J Psychiatr, 2021, 55: 102518. doi: 10.1016/j.ajp.2020.102518 [4] CHAMPION K E, MATHER M, SPRING B, et al. Clustering of multiple risk behaviors among a sample of 18-year-old australians and associations with mental health outcomes: a latent class analysis[J]. Front Public Health, 2018, 6: 135. doi: 10.3389/fpubh.2018.00135 [5] MEADER N, KING K, MOE-BYRNE T, et al. A systematic review on the clustering and co-occurrence of multiple risk behaviours[J]. BMC Public Health, 2016, 16: 657. doi: 10.1186/s12889-016-3373-6 [6] 庄绪秀, 刘洋, 王一诺, 等. 儿童青少年肥胖相关健康危险行为共存及模式研究进展[J]. 中国学校卫生, 2021, 42(12): 1917-1920. doi: 10.16835/j.cnki.1000-9817.2021.12.038ZHUANG X X, LIU Y, WANG Y N, et al. Research update on the co-occurrence and clustering model of obesity-related health risk behaviors in children and adolescents[J]. Chin J Sch Health, 2021, 42(12): 1917-1920. (in Chinese) doi: 10.16835/j.cnki.1000-9817.2021.12.038 [7] 谢阳. 《青少年生物节律紊乱评定问卷》的编制及应用研究[D]. 合肥: 安徽医科大学, 2021.XIE Y. Development and preliminary application of Self-rating Questionnaire of Biological Rhythm Disorders for Adolescents[D]. Hefei: Anhui Medical University, 2021. (in Chinese) [8] HAGENAUER M H, LEE T M. The neuroendocrine control of the circadian system: adolescent chronotype[J]. Front Neuroendocrinol, 2012, 33(3): 211-229. doi: 10.1016/j.yfrne.2012.04.003 [9] CROWLEY S J, CAIN S W, BURNS A C, et al. Increased sensitivity of the circadian system to light in early/mid-puberty[J]. J Clin Endocrinol Metab, 2015, 100(11): 4067-4073. doi: 10.1210/jc.2015-2775 [10] KANDEGER A, SELVI Y, TANYER D K. The effects of individual circadian rhythm differences on insomnia, impulsivity, and food addiction[J]. Eat Weight Disord, 2019, 24(1): 47-55. doi: 10.1007/s40519-018-0518-x [11] REYES A N, MOLINA M L, JANSEN K, et al. Biological rhythm and emotional and behavioral problems among schoolchildren in Southern Brazil[J]. Chronobiol Int, 2019, 36(3): 353-359. doi: 10.1080/07420528.2018.1545781 [12] 邹超逸, 郭佩融, 黄建萍, 等. 家庭结构和青少年心理健康与健康相关行为的关系[J]. 中国学校卫生, 2023, 44(5): 715-719. doi: 10.16835/j.cnki.1000-9817.2023.05.017ZOU C Y, GUO P R, HUANG J P, et al. Relationship between family structures and adolescents' mental health and health-associated behaviors[J]. Chin J Sch Health, 2023, 44(5): 715-719. (in Chinese) doi: 10.16835/j.cnki.1000-9817.2023.05.017 [13] 梁德清. 高校学生应激水平及其与体育锻炼的关系[J]. 中国心理卫生杂志, 1994, 8(1): 5-6. https://www.cnki.com.cn/Article/CJFDTOTAL-ZXWS401.001.htmLIANG D Q. The stress level of college students and its relationship with physical exercise[J]. Chin Ment Health J, 1994, 8(1): 5-6. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZXWS401.001.htm [14] 张一. 社会生态学风险因素与多基因风险评分的交互作用对青少年健康危害行为聚集的影响[D]. 合肥: 安徽医科大学, 2022.ZHANG Y. The effect of interaction between social ecological risk factors and polygenic risk score on clustering of health risk behaviors in adolescents[D]. Hefei: Anhui Medical University, 2022. (in Chinese) [15] American Academy of Pediatrics, Committee on Public Education. American Academy of Pediatrics: children, adolescents, and television[J]. Pediatrics, 2001, 107(2): 423-426. doi: 10.1542/peds.107.2.423 [16] ZENG X, CHEN Y, ZHANG Q, et al. Multidimensional self-rating biological rhythm disorder and its association with depression and anxiety symptoms among adolescents aged 11-23 years: a school-based cross-sectional study from China[J]. BMC Psychiatry, 2022, 22(1): 700. doi: 10.1186/s12888-022-04354-8 [17] DE WINTER A F, VISSER L, VERHULST F C, et al. Longitudinal patterns and predictors of multiple health risk behaviors among adolescents: the TRAILS study[J]. Prev Med, 2016, 84: 76-82. doi: 10.1016/j.ypmed.2015.11.028 [18] 徐涛, 余静, 张天成, 等. 贵州省农村初中生危害健康行为共存状况及与自我控制相关性研究[J]. 中国预防医学杂志, 2023, 24(9): 935-940. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGYC202309010.htmXU T, YU J, ZHANG T C, et al. Co-occurrence of health risk behaviors and its association with self-control among secondary school students in rural areas in Guizhou Province[J]. Chin J Prev Med, 2023, 24(9): 935-940. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGYC202309010.htm [19] 文小桐, 陈飞宇, 李旭阳, 等. 南昌市高中生健康危险行为及其聚集共发现象研究[J]. 现代预防医学, 2019, 46(13): 2405-2409. https://www.cnki.com.cn/Article/CJFDTOTAL-XDYF201913025.htmWEN X T, CHEN F Y, LI X Y, et al. Co-occurrence of health risk behaviors among high school students, Nanchang[J]. Mod Prev Med, 2019, 46(13): 2405-2409. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XDYF201913025.htm [20] SILVA R M A, ANDRADE A C S, CAIAFFA W T, et al. Co-occurrence of health risk behaviors and the family context among Brazilian adolescents, National Survey of School Health (2015)[J]. Rev Bras Epidemiol, 2021, 24: e210023. doi: 10.1590/1980-549720210023 [21] DA SILVA BRITO A L, HARDMAN C M, DE BARROS M V G. Prevalence and factors associated with the co-occurrence of health risk behaviors in adolescents[J]. Rev Paul Pediatr, 2015, 33(4): 423-430. doi: 10.1016/j.rpped.2015.02.002 [22] MAUKONEN M, KANERVA N, PARTONEN T, et al. The associations between chronotype, a healthy diet and obesity[J]. Chronobiol Int, 2016, 33(8): 972-981. doi: 10.1080/07420528.2016.1183022 [23] LIANG F, FU J, XU Y, et al. Associations of social jetlag with dietary behavior, physical activity and obesity among Chinese adolescents[J]. Nutrients, 2022, 14(3): 510. doi: 10.3390/nu14030510 [24] 王陈芳, 谢阳, 李婷婷, 等. 大学生睡眠时型与聚集性健康危险行为的关联[J]. 现代预防医学, 2021, 48(24): 4482-4486. https://www.cnki.com.cn/Article/CJFDTOTAL-XDYF202124014.htmWANG C F, XIE Y, LI T T, et al. Relationship between sleep chronotypes and aggregated health-risk behaviors of college students[J]. Mod Prev Med, 2021, 48(24): 4482-4486. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XDYF202124014.htm [25] GARIÉPY G, DORÉ I, WHITEHEAD R D, et al. More than just sleeping in: a late timing of sleep is associated with health problems and unhealthy behaviours in adolescents[J]. Sleep Med, 2019, 56: 66-72. doi: 10.1016/j.sleep.2018.10.029 [26] DIGDON N L, HOWELL A J. College students who have an eveningness preference report lower self-control and greater procrastination[J]. Chronobiol Int, 2008, 25(6): 1029-1046. doi: 10.1080/07420520802553671 [27] 张瑞平, 王亚兵, 郭雅倩, 等. 学校氛围与留守青少年抑郁的关系: 感恩与自我控制的中介作用[J]. 中国健康心理学杂志, 2022, 30(2): 301-305. https://www.cnki.com.cn/Article/CJFDTOTAL-JKXL202202029.htmZHANG R P, WANG Y B, GUO Y Q, et al. Relationship between school climates and depression among left-hebind adolescents: the mediating effect of gratitude and self-control[J]. Chin J Health Psychol, 2022, 30(2): 301-305. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JKXL202202029.htm [28] 葛丹丹, 王薇薇, 邓旭阳. 自我控制及负性情绪在江苏省某高校大学生心理复原力与睡眠质量间的链式中介作用[J]. 医学与社会, 2021, 34(5): 125-128, 133. https://www.cnki.com.cn/Article/CJFDTOTAL-YXSH202105026.htmGE D D, WANG W W, DENG X Y. The mediating effect of self-control and negative emotion between psychological resilience and sleep quality of college students from a university in Jiangsu Province[J]. Med Soc, 2021, 34(5): 125-128, 133. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-YXSH202105026.htm -

计量
- 文章访问数: 449
- HTML全文浏览量: 198
- PDF下载量: 90
- 被引次数: 0