Association of poor sleep characteristics with coexistence of negative emotions and overweight/obesity among college students
-
摘要:
目的 分析大学生不良睡眠特征与负性情绪和超重肥胖共存的关联, 为改善大学生身心健康提供科学依据。 方法 2023年11—12月, 采用方便抽样方法选取江西、湖南和湖北3省9所高校6 600名大学生, 采用抑郁-焦虑-压力量表-21(DASS-21)、失眠严重程度指数(ISI)、匹兹堡睡眠质量指数量表(PSQI)和体格检查评估受试者的负性情绪、不良睡眠特征和超重肥胖情况, 运用χ2检验和Logistic回归分析不良睡眠特征与大学生负性情绪和超重肥胖共存的影响。 结果 大学生不同类别负性情绪(抑郁、焦虑、压力)和超重肥胖共存检出率分别为6.1%(405名)、8.0%(529名)、3.3%(217名)。不同性别、年级、专业、母亲学历、家庭年总收入、体力活动水平以及是否独生子女和碳酸饮料消费的大学生不同类别负性情绪和超重肥胖共存检出率差异均有统计学意义(χ2=4.01~35.18, P值均 < 0.05)。Logistic回归分析结果显示, 调整性别、年级、专业、是否独生子女、母亲学历、家庭年总收入、体力活动水平、是否碳酸饮料消费因素后, 大学生不良睡眠特征与负性情绪和超重肥胖共存风险相关均有统计学意义(OR=1.41~6.65);中、差睡眠质量与女大学生不同类别负性情绪和超重肥胖共存风险的增加关联均有统计学意义(OR=1.99~4.71)(P值均 < 0.05)。 结论 大学生不良睡眠特征与负性情绪和超重肥胖共存存在关联。应重视大学生睡眠问题, 积极开展睡眠教育以降低负性情绪和超重肥胖共存发生风险。 Abstract:Objective To analyze the association between poor sleep characteristics and the coexistence of negative emotions and overweight/obesity among college students, so as to provide a scientific basis for improving their physical and mental health. Methods From November to December 2023, a convenience sampling method was used to survey 6 600 college students from nine universities in Jiangxi, Hunan, and Hubei provinces. The Depression Anxiety and Stress Scale-21 (DASS-21), Insomnia Severity Index (ISI), Pittsburgh Sleep Quality Index (PSQI), and physical examinations were employed to assess negative emotions, poor sleep characteristics, and overweight/obesity. Chi-square test and Logistic regression were used to analyze the impact of poor sleep characteristics on the coexistence of negative emotions and overweight/obesity. Results The coexistence rates of different categories of negative emotions (depression, anxiety, stress) and overweight/obesity were 6.1% (n=405), 8.0% (n=529), and 3.3% (n=217), respectively. Gender, grade level, major, maternal education level, annual family income, physical activity level, only-child status, and carbonated beverage consumption were statistically associated with the coexistence rates of different categories of negative emotions and overweight/obesity (χ2=4.01-35.18, all P < 0.05). Logistic regression analysis showed that after adjusting for gender, grade level, major, only-child status, maternal education level, annual family income, physical activity level, and carbonated beverage consumption, poor sleep characteristics were significantly associated with an increased risk of the coexistence of negative emotions and overweight/obesity (OR=1.41-6.65); moderate and poor sleep quality levels were significantly associated with an increased risk of the coexistence of different categories of negative emotions and overweight/obesity among female students (OR=1.99-4.71) (all P < 0.05). Conclusions Poor sleep characteristics are associated with the coexistence of negative emotions and overweight/obesity among college students. Greater attention should be paid to sleep issues in this population, and sleep education should be actively promoted to reduce the risk of comorbid negative emotions and overweight/obesity. -
Key words:
- Sleep /
- Emotions /
- Overweight /
- Obesity /
- Mental health /
- Regression analysis /
- Students
1) 利益冲突声明 所有作者声明无利益冲突。 -
表 1 不同组别大学生各类别负性情绪和超重肥胖共存检出率比较
Table 1. Comparison of detection rates of the coexistence different types of negative emotions with overweight and obesity among college students in different groups
组别 选项 人数 抑郁和超重肥胖共存 焦虑和超重肥胖共存 压力和超重肥胖共存 检出人数 χ2值 检出人数 χ2值 检出人数 χ2值 性别 男 2 908 216(7.4) 15.05** 255(8.8) 4.01* 116(4.0) 8.04** 女 3 692 189(5.1) 274(7.4) 101(2.7) 年级 大一 821 36(4.4) 7.95* 56(6.8) 6.80 18(2.2) 6.37 大二 2 635 162(6.1) 233(8.8) 90(3.4) 大三 1 482 87(5.9) 102(6.9) 43(2.9) 大四 1 662 120(7.2) 138(8.3) 66(4.0) 专业 文史类 2 064 111(5.4) 8.53* 161(7.8) 10.69* 58(2.8) 4.72 理工类 2 638 171(6.5) 218(8.3) 93(3.5) 体艺类 659 31(4.7) 34(5.2) 17(2.6) 其他类 1 239 92(7.4) 116(9.4) 49(4.0) 户籍所在地 城镇 2 827 176(6.2) 0.07 214(7.6) 1.33 101(3.6) 1.26 农村 3 773 229(6.1) 315(8.3) 116(3.1) 独生子女 是 2 072 149(7.2) 5.83* 195(9.4) 7.98** 108(5.2) 35.18** 否 4 528 256(5.7) 334(7.4) 109(2.4) 父亲学历 小学及以下 985 65(6.6) 1.05 89(9.0) 3.96 33(3.4) 4.50 初中 2 621 164(6.3) 217(8.3) 72(2.7) 高中/中专 1 849 112(6.1) 145(7.8) 71(3.8) 大学及以上 1 145 64(5.6) 78(6.8) 41(3.6) 母亲学历 小学及以下 1 702 128(7.5) 7.65 166(9.8) 11.11* 59(3.5) 0.96 初中 2 383 136(5.7) 184(7.7) 75(3.1) 高中/中专 1 589 89(5.6) 120(7.6) 49(3.1) 大学及以上 926 52(5.6) 59(6.4) 34(3.7) 家庭年总收入/万元 ≤5 2 999 213(7.1) 12.49** 269(9.0) 8.96* 106(3.5) 5.40 >5~10 1 379 82(5.9) 111(8.0) 39(2.8) >10~30 1 752 80(4.6) 116(6.6) 50(2.9) >30 470 30(6.4) 33(7.0) 22(4.7) 体力活动水平 低 1 685 127(7.5) 7.92* 149(8.8) 2.53 56(3.3) 0.03 中 2 261 124(5.5) 181(8.0) 75(3.3) 高 2 654 154(5.8) 199(7.5) 86(3.2) 是否外卖消费 是 3 109 193(6.2) 0.05 263(8.5) 1.57 107(3.4) 0.44 否 3 491 212(6.1) 266(7.6) 110(3.2) 是否经常消费碳酸饮料 是 2 485 205(8.2) 30.90** 248(10.0) 20.87** 116(4.7) 23.88** 否 4 115 200(4.9) 281(6.8) 101(2.5) 失眠严重等级 中重度 325 49(15.1) 101.84** 53(16.3) 112.26** 38(11.7) 114.72** 轻度 2 331 200(8.6) 270(11.6) 109(4.7) 无症状 3 944 156(4.0) 206(5.2) 70(1.8) 入睡时间是否超过零点 是 2 101 166(7.9) 16.66** 214(10.2) 19.69** 90(4.3) 9.61** 否 4 499 239(5.3) 315(7.0) 127(2.8) 每天是否睡眠时长≥7 h 是 4 532 236(5.2) 21.67** 318(7.0) 19.56** 126(2.8) 11.72** 否 2 068 169(8.2) 211(10.2) 91(4.4) 睡眠质量 差 318 46(14.5) 99.48** 50(15.7) 95.04** 37(11.6) 116.22** 中 653 82(12.6) 104(15.9) 47(7.2) 好 5 629 277(4.9) 375(6.7) 133(2.4) 注:()内数字为检出率/%;*P<0.05,**P<0.01。 表 2 大学生不良睡眠特征与不同类别负性情绪和超重肥胖共存的Logistic回归分析(n=6 600)
Table 2. Logistic regression analysis of the association between poor sleep characteristics and the coexistence of different categories of negative emotions with overweight and obesity among college students(n=6 600)
性别 睡眠情况 选项 抑郁和超重肥胖共存a 焦虑和超重肥胖共存b 压力和超重肥胖共存c β值 OR值(95%CI) β值 OR值(95%CI) β值 OR值(95%CI) 男生 失眠严重等级 中重度 1.19 3.28(1.90~5.68)** 1.03 2.81(1.65~4.80)** 1.75 5.72(2.95~11.11)** 轻度 0.78 2.17(1.59~2.96)** 0.89 2.43(1.83~3.24)** 0.82 2.27(1.48~3.49)** 无症状 1.00 1.00 1.00 入睡时间是否超过零点 是 0.03 1.03(0.74~1.42) 0.05 1.05(0.78~1.43) -0.17 0.85(0.55~1.31) 否 1.00 1.00 1.00 睡眠时长≥7 h/d 否 0.18 1.20(0.86~1.68) 0.05 1.05(0.77~1.43) -0.01 0.99(0.63~1.55) 是 1.00 1.00 1.00 睡眠质量 差 0.30 1.35(0.75~2.43) 0.28 1.32(0.74~2.33) 0.28 1.33(0.63~2.81) 中 0.36 1.43(0.95~2.16) 0.48 1.62(1.11~2.37)* 0.42 1.53(0.89~2.62) 好 1.00 1.00 1.00 女生 失眠严重等级 中重度 0.61 1.84(1.00~3.36)* 0.50 1.64(0.95~2.82) 0.82 2.26(1.06~4.82)* 轻度 0.57 1.76(1.27~2.44)** 0.59 1.80(1.38~2.36)** 0.82 2.27(1.42~3.64)** 无症状 1.00 1.00 1.00 入睡时间是否超过零点 是 0.27 1.30(0.91~1.86) 0.41 1.50(1.12~2.02)** 0.28 1.33(0.84~2.10) 否 1.00 1.00 1.00 睡眠时长≥7 h/d 否 0.13 1.14(0.79~1.63) 0.05 1.05(0.78~1.42) 0.08 1.08(0.67~1.74) 是 1.00 1.00 1.00 睡眠质量 差 0.86 2.36(1.36~4.09)** 0.63 1.88(1.14~3.10)* 1.55 4.71(2.51~8.83)** 中 0.82 2.27(1.51~3.40)** 0.69 2.00(1.40~2.84)** 1.02 2.76(1.61~4.74)** 好 1.00 1.00 1.00 总体 失眠严重等级 中重度 1.36 3.89(2.74~5.50)** 1.17 3.22(2.32~4.47)** 1.90 6.65(4.38~10.10)** 轻度 0.79 2.21(1.78~2.75)** 0.83 2.29(1.90~2.77)** 0.98 2.66(1.96~3.62)** 无症状 1.00 1.00 1.00 入睡时间是否超过零点 是 0.34 1.41(1.14~1.73)** 0.38 1.47(1.22~1.76)** 0.30 1.34(1.02~1.78)* 否 1.00 1.00 1.00 睡眠时长≥7 h/d 否 0.47 1.60(1.30~1.97)** 0.38 1.46(1.22~1.75)** 0.42 1.52(1.16~2.01)** 是 1.00 1.00 1.00 睡眠质量 差 1.09 2.97(2.11~4.18)** 0.89 2.45(1.77~3.38)** 1.60 4.97(3.37~7.33)** 中 0.93 2.54(1.94~3.31)** 0.91 2.49(1.96~3.15)** 1.09 2.97(2.10~4.20)** 好 1.00 1.00 1.00 注:a调整性别、年级、专业、独生子女、家庭年总收入、体力活动水平、是否经常消费碳酸饮料;b调整性别、专业、独生子女、母亲学历、家庭年总收入、是否经常消费碳酸饮料;c调整性别、独生子女、是否经常消费碳酸饮料;*P<0.05,**P<0.01。 -
[1] CHEN T J, DONG B, DONG Y, et al. Matching actions to needs: shifting policy responses to the changing health needs of Chinese children and adolescents[J]. Lancet, 2024, 403(10438): 1808-1820. doi: 10.1016/S0140-6736(23)02894-5 [2] 俞国良. 中国学生心理健康问题的检出率及其教育启示[J]. 清华大学教育研究, 2022, 43(4): 20-32.YU G L. Chinese students' mental health problems: the detection rate and educational implications[J]. Tsinghua J Educ, 2022, 43(4): 20-32. (in Chinese) [3] 张瀚月, 马璐, 孔振兴, 等. 2016—2020年我国学生超重、肥胖和营养不良状况的流行趋势与防控策略[J]. 北京体育大学学报, 2023, 46(11): 118-131.ZHANG H Y, MA L, KONG Z X. et al. Prevalence trends and prevention strategy of overweight, obesity and malnutrition among Chinese students from 2016 to 2020[J]. J Beijing Sport Univ, 2023, 46(11): 118-131. (in Chinese) [4] ODLAUG B L, LUST K, WIMMELMANN C L, et al. Prevalence and correlates of being overweight or obese in college[J]. Psychiatr Res, 2015, 227(1): 58-64. doi: 10.1016/j.psychres.2015.01.029 [5] MORALES-MUÑOZ I, MALLIKARJUN P K, CHANDAN J S, et al. Impact of anxiety and depression across childhood and adolescence on adverse outcomes in young adulthood: a UK Birth Cohort Study[J]. Br J Psychiatry, 2023, 222(5): 212-220. doi: 10.1192/bjp.2023.23 [6] ZHANG J, YAO W, HASHIMOTO K. Brain-derived neurotrophic factor (BDNF)-TrkB signaling in inflammation-related depression and potential therapeutic targets[J]. Curr Neuropharmacol, 2016, 14(7): 721-731. doi: 10.2174/1570159X14666160119094646 [7] SA J, CHOE S, CHO B, et al. Relationship between sleep and obesity among US and South Korean college students[J]. BMC Public Health, 2020, 20: 1-11. doi: 10.1186/s12889-019-7969-5 [8] ST-ONGE M P, WOLFE S, SY M, et al. Sleep restriction increases the neuronal response to unhealthy food in normal-weight individuals[J]. Inter J Obes, 2014, 38(3): 411-416. doi: 10.1038/ijo.2013.114 [9] 刘景, 何嘉嘉, 金正格, 等. 专科生睡眠时间与负性情绪症状的关联[J]. 中国学校卫生, 2021, 42(11): 1670-1673, 1678. doi: 10.16835/j.cnki.1000-9817.2021.11.016LIU J, HE J J, JIN Z G, et al. Associations between sleep duration and negative emotions among junior college students[J]. Chin J Sch Health, 2021, 42(11): 1670-1673, 1678. (in Chinese) doi: 10.16835/j.cnki.1000-9817.2021.11.016 [10] 陈婷, 何亦斌, 范奕, 等. 江西省大学生超重肥胖睡眠时间现状及其相关性[J]. 中国学校卫生, 2022, 43(10): 1574-1578. doi: 10.16835/j.cnki.1000-9817.2022.10.031CHEN T, HE Y B, FAN Y, et al. Prevalence and associations of overweight obesity and sleep duration among university students in Jiangxi Province[J]. Chin J Sch Health, 2022, 43(10): 1574-1578. (in Chinese) doi: 10.16835/j.cnki.1000-9817.2022.10.031 [11] 屈宁宁, 李可基. 国际体力活动问卷中文版的信度和效度研究[J]. 中华流行病学杂志, 2004, 25(3): 87-90.QU N N, LI K J. Study on the reliability and validity of International Physical Activity Questionnaire (Chinese Vision, IPAQ)[J]. Chin J Epidemiol, 2004, 25(3): 87-90. (in Chinese) [12] LEUNG C W, TAPPER E B. Sugar-sweetened beverages are associated with increased liver stiffness and steatosis among apparently healthy adults in the United States[J]. Clin Gastroenterol Hepatol, 2022, 20(4): 959-961. e1. doi: 10.1016/j.cgh.2021.05.052 [13] 李华, 王赛, 孙福财, 等. 大学生奶茶和外卖消费交互效应与超重肥胖的关联[J]. 中国学校卫生, 2024, 45(11): 1545-1550. doi: 10.16835/j.cnki.1000-9817.2024324LI H, WANG S, SUN F C, et al. Association of the interaction effect of milk tea and takeaway consumption on overweight and obesity among college students[J]. Chin J Sch Health, 2024, 45(11): 1545-1550. (in Chinese) doi: 10.16835/j.cnki.1000-9817.2024324 [14] LOVIBOND P F, LOVIBOND S H. The structure of negative emotional states: comparison of the Depression Anxiety Stress Scales (DASS) with the Beck depression and anxiety inventories[J]. Behav Res Ther, 1995, 33(3): 335-343. doi: 10.1016/0005-7967(94)00075-U [15] MORIN C M, BELLEVILLE G, BÉLANGER L, et al. The Insomnia Severity Index: psychometric indicators to detect insomnia cases and evaluate treatment response[J]. Sleep, 2011, 34(5): 601-608. doi: 10.1093/sleep/34.5.601 [16] XU H, TAO J, YANG J, et al. Mobile phone use addiction, insomnia, and depressive symptoms in adolescents from ethnic minority areas in China: a latent variable mediation model[J]. J Affect Disord, 2023, 320: 381-389. doi: 10.1016/j.jad.2022.09.156 [17] BUYSSE D J, REYNOLDS Ⅲ C F, MONK T H, et al. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research[J]. Psychiatry research, 1989, 28(2): 193-213. doi: 10.1016/0165-1781(89)90047-4 [18] GHROUZ A K, NOOHU M M, DILSHAD MANZAR M, et al. Physical activity and sleep quality in relation to mental health among college students[J]. Sleep Breath, 2019, 23: 627-634. doi: 10.1007/s11325-019-01780-z [19] 中华人民共和国卫生部疾病控制司. 中国成人超重和肥胖症预防和控制指南[M]. 北京: 人民卫生出版社, 2006: 3.Department of Disease Control, Ministry of Health of the PRC. Guidelines for adult overweight and obesity prevention and control in China[M]. Beijing: People's Medical Publishing House, 2006: 3. (in Chinese) [20] BECKER S P, JARRETT M A, LUEBBE A M, et al. Sleep in a large, multi-university sample of college students: sleep problem prevalence, sex differences, and mental health correlates[J]. Sleep Health, 2018, 4(2): 174-181. doi: 10.1016/j.sleh.2018.01.001 [21] 李晟芃, 梁定雄, 苏凡, 等. 大学生奶茶消费与超重肥胖抑郁症状共患的关联性[J]. 中国学校卫生, 2024, 45(11): 1644-1647, 1652. doi: 10.16835/j.cnki.1000-9817.2024337LI S P, LIANG D X, SU F, et al. Correlation of milk tea consumption with comorbid overweight/obesity and depressive symptoms among college students[J]. Chin J Sch Health, 2024, 45(11): 1644-1647, 1652. (in Chinese) doi: 10.16835/j.cnki.1000-9817.2024337 [22] 马彩霞, 马军, 宋逸, 等. 内蒙古地区学生超重肥胖与抑郁共患影响因素分析[J]. 中国学校卫生, 2023, 44(9): 1308-1312, 1318. doi: 10.16835/j.cnki.1000-9817.2023.09.007MA C X, MA J, SONG Y, et al. Co-morbidity of overweight, obesity and depression and its influencing factors among students in Inner Mongolia Autonomous Region[J]. Chin J Sch Health, 2023, 44(9): 1308-1312, 1318. (in Chinese) doi: 10.16835/j.cnki.1000-9817.2023.09.007 [23] WANG V H, MIN J, XUE H, et al. What factors may contribute to sex differences in childhood obesity prevalence in China?[J]. Public Health Nutr, 2018, 21(11): 2056-2064. doi: 10.1017/S1368980018000290 [24] CHENG S, JIA C, WANG Y. Only children were associated with anxiety and depressive symptoms among college students in China[J]. Int J Environ Res Public Health, 2020, 17(11): 4035. doi: 10.3390/ijerph17114035 [25] 陈瑜. 理工科大学生压力来源调查及心理干预对策[J]. 中国健康教育, 2015, 31(12): 1156-1159.CHEN Y. Investigation on stressors and strategies on mental health intervention among engineering college students[J]. Chin J Health Educ, 2015, 31(12): 1156-1159. (in Chinese) [26] RONFANI L, VECCHI B L, MARIUZ M, et al. The complex interaction between home environment, socioeconomic status, maternal IQ and early child neurocognitive development: a multivariate analysis of data collected in a newborn cohort study[J]. PLoS One, 2015, 10(5): e0127052. doi: 10.1371/journal.pone.0127052 [27] SYLVETSKY A C, VISEK A J, HALBERG S, et al. Beyond taste and easy access: physical, cognitive, interpersonal, and emotional reasons for sugary drink consumption among children and adolescents[J]. Appetite, 2020, 155: 104826. doi: 10.1016/j.appet.2020.104826 [28] RAUDSEPP L. Brief report: problematic social media use and sleep disturbances are longitudinally associated with depressive symptoms in adolescents[J]. J Adolesc, 2019, 76: 197-201. doi: 10.1016/j.adolescence.2019.09.005 [29] JARRIN D C, MCGRATH J J, DRAKE C L. Beyond sleep duration: distinct sleep dimensions are associated with obesity in children and adolescent[J]. Int J Obes, 2013, 37(4): 552-558. doi: 10.1038/ijo.2013.4 [30] VRIEND J L, DAVIDSON F D, CORKUM P V, et al. Manipulating sleep duration alters emotional functioning and cognitive performance in children[J]. J Pediatr Psychol, 2013, 38(10): 1058-1069. doi: 10.1093/jpepsy/jst033 [31] KNUTSONK L, CAUTER E. Associations between sleep loss and increased risk of obesity and diabetes[J]. Annals New York Acad Sci, 2008, 1129: 287-304. doi: 10.1196/annals.1417.033 [32] 王靓, 汪求真. 大学生睡眠质量与超重肥胖的相关性分析[J]. 青岛大学学报(自然科学版), 2022, 35(2): 23-28.WANG L, WANG Q Z. Analysis of the correlation between sleep quality and overweight-obesity of college students[J]. J Qingdao Univ (Nat Sci Ed), 2022, 35(2): 23-28. (in Chinese) [33] 李逗逗, 肖蓉. 大学生失眠及其与压力感知的相关关系[J]. 南方医科大学学报, 2024, 44(4): 795-800.LI D D, XIAO R. Correlation of insomnia with perceived stress in college students[J]. J South Med Univ, 2024, 44(4): 795-800. (in Chinese) [34] 彭飞, 苏吉, 朱岳梅. 大学生压力知觉与应对方式的关系[J]. 中国健康心理学杂志, 2017, 25(1): 79-83.PENG F, SU J, ZHU Y M. Relationship between perceived stress and coping styles of college students[J]. Chin J Health Psychol, 2017, 25(1): 79-83. (in Chinese) [35] GOLDSTEIN A N, GREER S M, SALETIN J M, et al. Tired and apprehensive: anxiety amplifies the impact of sleep loss on aversive brain anticipation[J]. J Neurosci, 2013, 33(26): 10607-10615. doi: 10.1523/JNEUROSCI.5578-12.2013 [36] KIM K M, HAN S M, HEO K, et al. Sex differences in the association between chronotype and risk of depression[J]. Sci Rep, 2020, 10(1): 18512. doi: 10.1038/s41598-020-75724-z -

计量
- 文章访问数: 23
- HTML全文浏览量: 10
- PDF下载量: 2
- 被引次数: 0