請用此 Handle URI 來引用此文件：
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/99885完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 張弘潔 | zh_TW |
| dc.contributor.advisor | HUNG-CHIEH CHANG | en |
| dc.contributor.author | 張以和 | zh_TW |
| dc.contributor.author | Yi-Ho Chang | en |
| dc.date.accessioned | 2025-09-19T16:11:46Z | - |
| dc.date.available | 2025-09-20 | - |
| dc.date.copyright | 2025-09-19 | - |
| dc.date.issued | 2025 | - |
| dc.date.submitted | 2025-03-14 | - |
| dc.identifier.citation | 中文部分
世界衛生組織(2010)。關於身體活動有益健康的全球建議。取自：https://iris.who.int/bitstream/handle/10665/44399/9789245599975_chi.pdf 兒福聯盟(2023)。國高中生心理健康調查報告。取自：https://www.children.org.tw/publication_research/research_report/2544 衛生福利部統計處(2020)。取自：https://dep.mohw.gov.tw/DOS/mp-113.html 衛生福利部國民健康署(2018)。國中學生健康行為調查報告。取自：https://www.hpa.gov.tw/Pages/ashx/GetFile.ashx?lang=c&type=1&sid=e38580bcf3d84be995513e0bde069a42 衛生福利部國民健康署(2017)。高中、高職、五專學生健康行為調查報告。取自：https://www.hpa.gov.tw/Pages/ashx/GetFile.ashx?lang=c&type=1&sid=be4af69010e547c4b135bc128c8462fe 衛生福利部國民健康署(2017)。全民身體活動指引。取自：https://www.hpa.gov.tw/File/Attach/8170/File_7719.pdf 教育部駐法國代表處教育組(2023)。法國擬加強中小學學校體育活動。取自: https://depart.moe.edu.tw/FRCH/News_Content.aspx?n=211336B7110EA646&sms=A9031ED1216E6F70&s=C4F97FCC31C62BE7 教育部體育署(2020)。109年運動現況調查。取自：https://www.sa.gov.tw/News/NewsDetail?Type=3&page=101&id=3053&n=92 教育部體育署(2022)。111 學年度各級學校學生運動參與情形。取自：https://www.sa.gov.tw/Resource/Ebook/637824163470732737.pdf 教育部體育署(2024)。性別友善運動設施空間與環境規劃指引。取自:https://www.sa.gov.tw/PageContent?n=6121 董事基金會(2020)。六都青少年身體活動量及憂鬱情緒現況調查。取自:https://www.etmh.org/Depression/show_more?id=a9a9feddff0849f3b63ad34057e9a494 臺灣大學中國信託慈善基金會兒少暨家庭研究中心(2018)。取自:https://friendly.kl.edu.tw/index/file/318/%E6%95%99%E5%B8%AB%E6%89%8B%E5%86%8A%E5%85%A8.pdf 中華衛生心理學會(2019)。取自:https://mhliteracy.mhat.org.tw/about/origin-and-vision/ 林建宇、楊志豪、李炳昭(2007)。性別與運動：台灣父權社會結構與女性參與運動議題探討。彰化師大體育學報，7，43-51。https://doi.org/10.29964/NCUEPE.200701.0006 胡星辰、張迎黎、梁煒、張紅梅、楊世昌(2014)。病人健康問卷憂鬱量表(phQ-9)在青少年中應用的信效度檢驗。四川精神衛生，27(4)，4。 陳淑惠(2008)。《台灣版兒童青少年憂鬱量表指導手冊》。台北：心理出版社。 劉影梅(2004)。國際身體活動量表台灣中文版之發展與信效度驗證（博士論文）。國立臺灣大學。https://doi.org/10.6342/NTU.2004.02074 游錦雲、李思賢、李蘭、陳玉佩(2009)。兒童內化行為問題測量工具的建立及其信效度研究。測驗學刊，56(3)，295-319。 葉振偉(2013)。青少年運動參與、自我效能與學業成就之關係探討─以臺中、彰化地區為例。教育經營與管理研究集刊，9，91-114。 畢恆達(2004)。女性性別意識形成歷程。通識教育季刊，11 (1、2)，118。 梁容方(2019)。13-22歲憂鬱情緒軌跡與社會因素之關係（碩士論文）。國立臺灣大學健康政策管理研究所。https://doi.org/10.6342/NTU201901782 蔡雅寧(2011)。學生從七至十二年級之運動發展軌跡（碩士論文）。國立臺灣大學健康政策管理研究所。https://doi.org/10.6342/NTU.2011.03145 簡伶蓁(2009)。日常生活壓力、家庭支持及因應方式與青少年憂鬱情緒之關係：從學生七至九年級之變化趨勢探討（碩士論文）。國立臺灣大學健康政策管理研究所。https://hdl.handle.net/11296/8996vb 李曉蓉(1997)。青少年身體意向與自尊、沮喪相關之研究。高師大輔導學研究所碩士論文。 陸玓玲、吳文琪、吳其臻、李蘭、張新儀(2013)。兒童與青少年長期追蹤研究之未回應趨勢及其社會人口學因素。台灣公共衛生雜誌，32(2)，129-139。 https://doi.org/10.6288/TJPH2013-32-02-04 劉淑華、陳政友(2012)。台北市高職夜間部學生健康生活型態及其相關因素之研究。學校衛生，60，1-30。https://doi.org/10.30026/CJSH.201206.0001 謝秀芳、紀俊吉(2008)。自我效能與女性運動行為之探討。大專體育，95，76-81。https://doi.org/10.6162/SRR.2008.95.12 鍾承志(2020)。青少年身體質量指數軌跡與憂鬱情緒發展軌跡之關係（碩士論文）。國立臺灣大學。華藝線上圖書館。https://doi.org/10.6342/NTU202002467 Beck, A. T., Steer, R. A., & Brown, G. K. (2000). 貝克憂鬱量表（第二版）（陳心怡譯）。中國行為科學社。（原著出版年：1996） Kovacs, M., & MHS Staff. (2008). 台灣版兒童青少年憂鬱量表指導手冊（陳淑惠修訂）。新北市：心理出版社股份有限公司。 Nixon, H. L., II, & Frey, J. H. (1998). 運動社會學 (王宗吉,譯).洪葉文化事業公司。（原著出版年：1998） 英文部分 Adeniyi, A. F., Okafor, N. C., & Adeniyi, C. Y. (2011). Depression and physical activity in a sample of Nigerian adolescents: Levels, relationships and predictors. Child and Adolescent Psychiatry and Mental Health, 5(1), 16. https://doi.org/10.1186/1753-2000-5-16 Amornsriwatanakul, A., Lester, L., Bull, F., & Rosenberg, M. (2020). Ecological correlates of sport and exercise participation among Thai adolescents: A hierarchical examination of a cross-sectional population survey.Journal of sport and health science. https://doi.org/10.1016/j.jshs.2020.04.012. Angold, A., Costello, E. J., & Worthman, C. M. (1998). Puberty and depression: The roles of age, pubertal status and pubertal timing. Psychological Medicine, 28(1), 51–61. https://doi.org/10.1017/S003329179700593X Axelsdóttir, B., Biedilae, S., Sagatun, Å., Nordheim, L. V., & Larun, L. (2021). Review: Exercise for depression in children and adolescents - a systematic review and meta-analysis. Child and adolescent mental health, 26(4), 347–356.https://doi.org/10.1111/camh.12438 Bandura, A. (1997). Self-efficacy: The exercise of control. Freeman. Baranowski, T., Bouchard, C., Bar-Or, O., Bricker, T., Heath, G., Kimm, S. Y., Malina, R., Obarzanek, E., Pate, R., & Strong, W. B. (1992). Assessment, prevalence, and cardiovascular benefits of physical activity and fitness in youth. Medicine and science in sports and exercise, 24(6 Suppl), S237–S247.https://pubmed.ncbi.nlm.nih.gov/1625549/ Bearman, S. K., Presnell, K., Martinez, E., & Stice, E. (2006). The skinny on body dissatisfaction: A longitudinal study of adolescent girls and boys. Journal of Youth and Adolescence, 35(2), 217-229. https://doi.org/10.1007/s10964-005-9010-9 Birkeland, M. S., Torsheim, T., & Wold, B. (2009). A longitudinal study of the relationship between leisure-time physical activity and depressed mood among adolescents. Psychology of Sport and Exercise, 10(1), 25–34. https://doi.org/10.1016/j.psychsport.2008.01.005 Björkenstam, E., Pebley, A., Burström, B., & Kosidou, K. (2017). Childhood social adversity and risk of depressive symptoms in adolescence in a US national sample. Affective disorders, 212, 56-63. https://doi.org/10.1016/j.jad.2017.01.035. Bosch, L. S. M. M., Wells, J. C. K., Lum, S., et al. (2019). Associations of extracurricular physical activity patterns and body composition components in a multi-ethnic population of UK children (the Size and Lung Function in Children study): A multilevel modelling analysis. BMC Public Health, 19(573).https://doi.org/10.1186/s12889-019-6883-1 Buhr, E., & Tannen, A. (2020). Parental health literacy and health knowledge, behaviours and outcomes in children: a cross-sectional survey. BMC Public Health, 20. https://doi.org/10.1186/s12889-020-08881-5 Bushway, S. D., Sweeten, G., & Nieuwbeerta, P. (2009). Measuring long term individual trajectories of offending using multiple methods.Quantitative Criminology, 25(3),259-286. https://doi.org/10.1007/s10940-009-9070-1 CASEL. (2017). What is SEL? Retrieved from https://schoolguide.casel.org/what-is-sel/what-is-sel/ Caspersen, C. J., Powell, K. E., & Christenson, G. M. (1985). Physical activity, exercise, and physical fitness: definitions and distinctions for health-related research. Public health reports (Washington, D.C. : 1974), 100(2), 126–131. Cairney, J., Kwan, M. Y., Velduizen, S., Hay, J., Bray, S. R., & Faught, B. E. (2012). Gender, perceived competence and the enjoyment of physical education in children: a longitudinal examination. International Journal of Behavioral Nutrition and Physical Activity, 9, 1-8. https://doi.org/10.1186/1479-5868-9-26 Cairney, J., Veldhuizen, S., Kwan, M., Hay, J., & Faught, B. E. (2014). Biological age and sex-related declines in physical activity during adolescence. Medicine and science in sports and exercise, 46(4), 730–735.https://doi.org/10.1249/MSS.0000000000000168 Chang, C. K., & Wu, C. L. (2023). Results from the Chinese Taipei (Taiwan) 2022 report card on physical activity for children and youth. Journal of exercise science and fitness, 21(1), 6–13. https://doi.org/10.1016/j.jesf.2022.10.011 Chang, Y. H., Lin, C. Y., Liao, S. C., Chen, Y. Y., Shaw, F. F., Hsu, C. Y., Gunnell, D., & Chang, S. S. (2023). Societal factors and psychological distress indicators associated with the recent rise in youth suicide in Taiwan: A time trend analysis. The Australian and New Zealand journal of psychiatry, 57(4), 537–549. https://doi.org/10.1177/00048674221108640 Chao, L.Y., Tseng, H.C. (2009) An Analysis of Development Trends in Physical Fitness for Taiwan’s Children and Adolescents. Taiwan Development Perspectives 2009. Taipei: National Policy Foundation. Charkoudian, N., & Joyner, M. (2004). Physiologic considerations for exercise performance in women. Clinics in chest medicine, 25 (2), 247-55 . https://doi.org/10.1016/J.CCM.2004.01.001. Chen, H., Yarnal, C., Chick, G., & Jablonski, N. (2017). Egg White or Sun-Kissed: A Cross-Cultural Exploration of Skin Color and Women’s Leisure Behavior. Sex Roles, 78, 255–271. https://doi.org/10.1007/s11199-017-0785-4. Chen, H., & Lan, W. (1998). Adolescents’ perceptions of their parents’ academic expectations: Comparison of American, Chinese–American, and Chinese high school students. Adolescence, 33, 385–390. https://pubmed.ncbi.nlm.nih.gov/9706324/ Chen, E., Matthews, K. A., & Boyce, W. T. (2002). Socioeconomic differences in children's health: How and why do these relationships change with age? Psychological Bulletin, 128(2), 295–329. https://doi.org/10.1037/0033- 2909.128.2.295 Chu, P. S., Saucier, D. A., & Hafner, E. (2010). Meta-analysis of the relationships between social support and well-being in children and adolescents. Journal of social and clinical psychology, 29(6), 624-645. Corder, K., Ekelund, U., Steele, R. M., Wareham, N. J., & Brage, S. (2008). Assessment of physical activity in youth. Journal of applied physiology (Bethesda, Md. : 1985), 105(3), 977–987.https://doi.org/10.1152/japplphysiol.00094.2008 Cui R. (2015). Editorial: A Systematic Review of Depression. Current neuropharmacology, 13(4), 480. https://doi.org/10.2174/1570159x1304150831123535 Cyranowski, J. M., Frank, E., Young, E., & Shear, K. (2000). Adolescent onset of the gender difference in lifetime rates of major depression. Archives of General Psychiatry, 57(1), 21–27. https://doi.org/10.1001/archpsyc.57.1.21 Dekker, M., Ferdinand, R., Lang, N., Bongers, I., Ende, J., & Verhulst, F. (2007). Developmental trajectories of depressive symptoms from early childhood to late adolescence: gender differences and adult outcome. Journal of Child Psychol Psychiatry, 48 (7), 657-66.https://doi.org/10.1111/j.1469-7610.2007.01742.x Donaldson, D., Prinstein, M., Danovsky, M., & Spirito, A. (2000). Patterns of children's coping with life stress: implications for clinicians. The American journal of orthopsychiatry, 70 (3), 351-9 . https://doi.org/10.1037/H0087689. Dumith, S. C., Gigante, D. P., Domingues, M. R., & Kohl, H. W., 3rd (2011). Physical activity change during adolescence: a systematic review and a pooled analysis. International journal of epidemiology, 40(3), 685–698.https://doi.org/10.1093/ije/dyq272 Dyson, R., & Renk, K. (2006). Freshmen adaptation to university life: depressive symptoms, stress, and coping. Journal of clinical psychology, 62(10), 1231–1244.https://doi.org/10.1002/jclp.20295 Farooq, M. A., Parkinson, K. N., Adamson, A. J., Pearce, M. S., Reilly, J. K., Hughes, A. R., Janssen, X., Basterfield, L., & Reilly, J. J. (2017). Timing of the decline in physical activity in childhood and adolescence: Gateshead millennium cohort study. British Journal of Sports Medicine, 51(9), 707–713.https://doi.org/10.1136/bjsports-2016-096933 Fernández, S., Kaulitzky, A., Murillo-Rodríguez, E., Machado, S., & Budde, H. (2020).Systematic Review of Meta-Analyses: Exercise Effects on Depression in Children and Adolescents. Frontiers in Psychiatry, 11.https://doi.org/10.3389/fpsyt.2020.00081. Ferreira, I., van der Horst, K., Wendel-Vos, W., Kremers, S., van Lenthe, F. J., & Brug, J. (2007). Environmental correlates of physical activity in youth - a review and update. Obesity reviews : an official journal of the International Association for the Study of Obesity, 8(2), 129–154.https://doi.org/10.1111/j.1467-789X.2006.00264.x Firth, J., Siddiqi, N., Koyanagi, A., Siskind, D., Rosenbaum, S., Galletly, C., Allan, S., Caneo, C., Carney, R., Carvalho, A. F., Chatterton, M. L., Correll, C. U., Curtis, J., Gaughran, F., Heald, A., Hoare, E., Jackson, S. E., Kisely, S., Lovell, K., Maj, M., … Stubbs, B. (2019). The Lancet Psychiatry Commission: a blueprint for protecting physical health in people with mental illness. The lancet. Psychiatry, 6(8), 675–712. https://doi.org/10.1016/S2215-0366(19)30132-4 Fröjd, S., Marttunen, M., Pelkonen, M., Pahlen, B., & Kaltiala-Heino, R. (2006). Perceived financial difficulties and maladjustment outcomes in adolescence.. European journal of public health, 16 (5), 542-8 . https://doi.org/10.1093/EURPUB/CKL012. Gariépy, G., Honkaniemi, H., & Quesnel-Vallée, A. (2016). Social support and protection from depression: systematic review of current findings in Western countries. British Journal of Psychiatry, 209(4), 284–293.https://doi.org/10.1192/bjp.bp.115.169094 Garrison, C. Z., Addy, C. L., Jackson, K. L., McKeown, R. E., & Waller, J. L. (1991). The CES-D as a screen for depression and other psychiatric disorders in adolescents. Journal of the American Academy of Child and Adolescent Psychiatry, 30(4), 636–641. https://doi.org/10.1097/00004583-199107000-00017 Georgiades, K., Lewinsohn, P. M., Monroe, S. M., & Seeley, J. R. (2006). Major depressive disorder in adolescence: the role of subthreshold symptoms. Journal of the American Academy of Child and Adolescent Psychiatry, 45(8), 936–944.https://doi.org/10.1097/01.chi.0000223313.25536.47 Ge, X., Conger, R. D., & Elder Jr, G. H. (2001). Pubertal transition, stressful life events,and the emergence of gender differences in adolescent depressive symptoms. Developmental psychology, 37(3), 404. https://doi.org/10.1037//0012-1649.37.3.404 Ge, X., Natsuaki, M. N., & Conger, R. D. (2006). Trajectories of depressive symptoms and stressful life events among male and female adolescents in divorced and nondivorced families. Development and psychopathology, 18(1), 253–273.https://doi.org/10.1017/S0954579406060147 Ge, X., Lorenz, F. O., Conger, R. D., Elder, G. H., & Simons, R. L. (1994). Trajectories of stressful life events and depressive symptoms during adolescence. Developmental Psychology, 30(4), 467–483. https://doi.org/10.1037/0012- 1649.30.4.467 Gordon-Larsen, P., Nelson, M. C., & Popkin, B. M. (2004). Longitudinal Physical Activity and Sedentary Behavior Trends: Adolescence to Adulthood. American Journal of Preventive Medicine, 27(4), 277–283https://doi.org/10.1016/j.amepre.2004.07.006 Graham, D. J., Sirard, J. R., & Neumark-Sztainer, D. (2011). Adolescents' attitudes toward sports, exercise, and fitness predict physical activity 5 and 10 years later. Preventive medicine, 52(2), 130–132.https://doi.org/10.1016/j.ypmed.2010.11.013 Hammen C. (2005). Stress and depression. Annu Rev Clin Psychol, 1, 293-319.https://doi.org/10.1146/annurev.clinpsy.1.102803.143938 Hankin, B. L., Abramson, L. Y., Moffitt, T. E., Silva, P. A., McGee, R., & Angell, K. E. (1998). Development of depression from preadolescence to young adulthood: emerging gender differences in a 10-year longitudinal study. J abnormal psychology, 107(1), 128. https://doi.org/10.1037//0021-843x.107.1.128 Harmelen, A., Gibson, J., Clair, M., Owens, M., Brodbeck, J., Dunn, V., Lewis, G., Croudace, T., Jones, P., Kievit, R., & Goodyer, I. (2016). Friendships and Family Support Reduce Subsequent Depressive Symptoms in At-Risk Adolescents. PLoS ONE,11. https://doi.org/10.1371/journal.pone.0153715. Hiles, S., Lamers, F., Milaneschi, Y., & Penninx, B. (2017). Sit, step, sweat: longitudinal associations between physical activity patterns, anxiety and depression. Psychological Medicine, 47, 1466 -1477.https://doi.org/10.1017/S0033291716003548. Hjemdal, O., Vogel, P. A., Solem, S., Hagen, K., & Stiles, T. C. (2011). The relationship between resilience and levels of anxiety, depression, and obsessive-compulsive symptoms in adolescents. Clinical psychology & psychotherapy, 18(4), 314–321. https://doi.org/10.1002/cpp.719 Hoare, E., Skouteris, H., Fuller‐Tyszkiewicz, M., Millar, L., & Allender, S. (2013). Associations between obesogenic risk factors and depression among adolescents: a systematic review. Obesity Reviews, 15.https://doi.org/10.1111/obr.12069. Howie, E. K., McVeigh, J. A., Smith, A. J., Zabatiero, J., Bucks, R. S., Mori, T. A., Beilin, L. J., & Straker, L. M. (2020). Physical activity trajectories from childhood to late adolescence and their implications for health in young adulthood. Preventive medicine, 139, 106224.https://doi.org/10.1016/j.ypmed.2020.106224 Humbert, M. L., Chad, K. E., Spink, K. S., Muhajarine, N., Anderson, K. D., Bruner, M. W., Girolami, T. M., Odnokon, P., & Gryba, C. R. (2006). Factors that influence physical activity participation among high- and low-SES youth. Qualitative health research, 16(4), 467–483.https://doi.org/10.1177/1049732305286051 Hyde, J., Mezulis, A., & Abramson, L. (2008). The ABCs of depression: integrating affective, biological, and cognitive models to explain the emergence of the gender difference in depression. Psychological review, 115 (2), 291-313.https://doi.org/10.1037/0033-295X.115.2.291. Janz, K. F., Letuchy, E. M., Burns, T. L., Eichenberger Gilmore, J. M., Torner, J. C., & Levy, S. M. (2014). Objectively measured physical activity trajectories predict adolescent bone strength: Iowa Bone Development Study. British journal of sports medicine, 48(13), 1032–1036. https://doi.org/10.1136/bjsports-2014-093574 Jayanthi, P., Thirunavukarasu, M., & Rajkumar, R. (2015). Academic stress and depression among adolescents: A cross-sectional study. Indian Pediatrics, 52,217-219. https://doi.org/10.1007/s13312-015-0609-y. Jiang, S., Ren, Q., Jiang, C., & Wang, L. (2021). Academic stress and depression of Chinese adolescents in junior high schools: Moderated mediation model of school burnout and self-esteem. Journal of affective disorders, 295, 384–389.https://doi.org/10.1016/j.jad.2021.08.085 Jones, B. L., & Nagin, D. S. (2007). Advances in group-based trajectory modeling and procedure for estimating them. Sociological methods & research, 35(4), 542-571. https://doi.org/10.1177/0049124106292364 Jones, B. L., Nagin, D. S., & Roeder, K. (2001). A SAS procedure based on mixture models for estimating developmental trajectories. Joseph, R. P., Royse, K. E., Benitez, T. J., et al. (2014). Physical activity and quality of life among university students: Exploring self-efficacy, self-esteem, and affect as potential mediators. Quality of Life Research, 23(3), 659–667.https://doi.org/10.1007/s11136-013-0492-8 Kandola, A., Ashdown-Franks, G., Hendrikse, J., Sabiston, C. M., & Stubbs, B. (2019). Physical activity and depression: Towards understanding the antidepressant mechanisms of physical activity. Neuroscience and biobehavioral reviews, 107, 525–539. https://doi.org/10.1016/j.neubiorev.2019.09.040 Keating, X. D., Guan, J., Piñero, J. C., & Bridges, D. M. (2005). A meta-analysis of college students' physical activity behaviors. Journal of American College Health, 54(2), 116-126. https://doi.org/10.3200/jach.54.2.116-126 Kennedy, A.C., Bybee, D.I., Sullivan, C.M., & Greeson, M.R. (2009). The Effects of Community and Family Violence Exposure on Anxiety Trajectories During Middle Childhood: The Role of Family Social Support as a Moderator. Clinical Child & Adolescent Psychology, 38, 365 - 379.http://dx.doi.org/10.1080/15374410902851713 Kleppang, A. L., Haugland, S. H., Bakken, A., & Stea, T. H. (2021). Lifestyle habits and depressive symptoms in Norwegian adolescents: A national cross-sectional study. BMC Public Health, 21, 816. https://doi.org/10.1186/s12889-021-10846-1 Knowles, C., Paradis, K. F., Breslin, G., Shannon, S., & Carlin, A. (2023). Physical activity in childhood and adolescence and future depressive symptoms: An 11-year prospective cohort study. European Journal of Public Health, 33(5), 878–883. https://doi.org/10.1093/eurpub/ckad122 Kovacs M. (1985). The Children's Depression, Inventory (CDI). Psychopharmacology bulletin, 21(4), 995–998. Kowalski, K.C., Crocker, P.R.E. and Donen, R.M. (2004) The Physical Activity Questionnaire for Older Children (PAQ-C) and Adolescents (PAQ-A) Manual. College of Kinesiology University of Saskatchewan, Saskatoon, 11-15. Kujala U. M. (2018). Is physical activity a cause of longevity? It is not as straightforward as some would believe. A critical analysis. British journal of sports medicine, 52(14), 914–918. https://doi.org/10.1136/bjsports-2017-098639 Khan, K. M., Thompson, A. M., Blair, S. N., Sallis, J. F., Powell, K. E., Bull, F. C., & Bauman, A. E. (2012). Sport and exercise as contributors to the health of nations. Lancet (London, England), 380(9836), 59–64.https://doi.org/10.1016/S0140-6736(12)60865-4 Kwong, A. S. F., López-López, J. A., Hammerton, G., Manley, D., Timpson, N. J., Leckie, G., & Pearson, R. M. (2019). Genetic and Environmental Risk Factors Associated With Trajectories of Depression Symptoms From Adolescence to Young Adulthood. JAMA network open, 2(6), e196587.https://doi.org/10.1001/jamanetworkopen.2019.6587 Kwon, S., Janz, K. F., Letuchy, E. M., Burns, T. L., & Levy, S. M. (2015). Developmental Trajectories of Physical Activity, Sports, and Television Viewing During Childhood to Young Adulthood: Iowa Bone Development Study. JAMA pediatrics, 169(7), 666–672. https://doi.org/10.1001/jamapediatrics.2015.0327 Lee-Lan Yen, Likwang Chen, Szu-Hsien Lee, Chuhsing Hsiao, Ling-Yen Pan & Wen-Chi Wu. (2002, October 28-30). Children and Adolescent Behaviors in Long-term Evolution (CABLE): a school-based health lifestyle study: study methodology and preliminary results. [Poster] 2002 International Symposium on Health Promotion for Adolescents, Taipei. https://doi.org/10.1177/10253823020090010115 Lemola, S., Perkinson-Gloor, N., Brand, S., Dewald-Kaufmann, J., & Grob, A. (2014). Adolescents’ Electronic Media Use at Night, Sleep Disturbance, and Depressive Symptoms in the Smartphone Age. Journal of Youth and Adolescence, 44, 405 – 418. https://doi.org/10.1007/s10964-014-0176-x. Lewis, A. J., Sae-Koew, J. H., Toumbourou, J. W., & Rowland, B. (2020). Gender differences in trajectories of depressive symptoms across childhood and adolescence: A multi-group growth mixture model. Journal of Affective Disorders, 260, 463–472. https://doi.org/10.1016/j.jad.2019.09.027 Machado Rodrigues, A. M., Coelho e Silva, M. J., Mota, J., Cumming, S. P., Sherar, L. B., Neville, H., & Malina, R. M. (2010). Confounding effect of biologic maturation on sex differences in physical activity and sedentary behavior in adolescents. Pediatric exercise science, 22(3), 442–453.https://doi.org/10.1123/pes.22.3.442 Maciejewski, P., Prigerson, H., & Mazure, C. (2001). Sex differences in event-related risk for major depression. Psychological Medicine, 31, 593 –604.https://doi.org/10.1017/s0033291701003877 Mahalik, J. R., Burns, S. M., & Syzdek, M. (2007). Masculinity and perceived normative health behaviors as predictors of men's health behaviors. Social Science & Medicine, 64(11), 2201-2209.https://doi.org/10.1016/j.socscimed.2007.02.035 Maras, D., Flament, M., Murray, M., Buchholz, A., Henderson, K., Obeid, N., & Goldfield, G. (2015). Screen time is associated with depression and anxiety in Canadian youth. Preventive medicine, 73, 133-8.https://doi.org/10.1016/j.ypmed.2015.01.029 Marshall, S.J. , & Welk, G.J. (2008). Definitions and Measurement. In A.L. Smith & S.J. Biddle (Ed.). Youth Physical Activity and Sedentary Behavior: Challenges and Solutions (pp. 3–30). Champaign, IL: Human Kinetics. Retrieved July 15, 2024, from http://dx.doi.org/10.5040/9781492595601.ch-001 Martínez-Gómez, D., Martínez-de-Haro, V., Pozo, T., Welk, G. J., Villagra, A., Calle, M. E., Marcos, A., & Veiga, O. L. (2009). Fiabilidad y validez del cuestionario de actividad física PAQ-A en adolescentes españoles [Reliability and validity of the PAQ-A questionnaire to assess physical activity in Spanish adolescents]. Revista espanola de salud publica, 83(3), 427–439.https://doi.org/10.1590/s1135-57272009000300008 McKenzie, K., Murray, A., & Booth, T. (2013). Do urban environments increase the risk of anxiety, depression and psychosis? An epidemiological study. Journal of affective disorders, 150(3), 1019–1024. https://doi.org/10.1016/j.jad.2013.05.032 McKercher, C., Sanderson, K., Schmidt, M., Otáhal, P., Patton, G., Dwyer, T., & Venn, A. (2014). Physical activity patterns and risk of depression in young adulthood: a 20-year cohort study since childhood. Social Psychiatry and Psychiatric Epidemiology, 49, 1823-1834. https://doi.org/10.1007/s00127-014-0863-7. Meadows, S. O., Brown, J. S., & Elder, G. H., Jr. (2006). Depressive Symptoms, Stress, and Support: Gendered Trajectories From Adolescence to Young Adulthood. Journal of Youth and Adolescence, 35(1), 93–103. https://doi.org/10.1007/s10964-005-9021-6 Metcalf, B., Hosking, J., Jeffery, A., Henley, W., & Wilkin, T. (2015). Exploring the Adolescent Fall in Physical Activity: A 10-yr Cohort Study (EarlyBird 41).Medicine and science in sports and exercise, 47 (10), 2084-92.https://doi.org/10.1249/MSS.0000000000000644. Mellor, D., Fuller-Tyszkiewicz, M., McCabe, M. P., & Ricciardelli, L. A. (2010). Body image and self-esteem across age and gender: A short-term longitudinal study. Sex Roles: A Journal of Research, 63(9-10), 672–681.https://doi.org/10.1007/s11199-010-9813-3 Milther, C., Winther, L., Stahlhut, M., Curtis, D. J., Aadahl, M., Kristensen, M. T., Sørensen, J. L., & Dall, C. H. (2023). Validation of an accelerometer system for measuring physical activity and sedentary behavior in healthy children and adolescents. European journal of pediatrics, 182(8), 3639–3647.https://doi.org/10.1007/s00431-023-05014-z Monshouwer, K., Smit, F., Ruiter, M., Ormel, H., Verhulst, F., Vollebergh, W., & Oldehinkel, T. (2012). Identifying target groups for the prevention of depression in early adolescence: the TRAILS study. Journal of affective disorders, 138(3), 287–294. https://doi.org/10.1016/j.jad.2012.01.026 Motl, R. W., Birnbaum, A. S., Kubik, M. Y., & Dishman, R. K. (2004). Naturally occurring changes in physical activity are inversely related to depressive symptoms during early adolescence. Psychosomatic medicine, 66(3), 336-342.https://doi.org/10.1097/01.psy.0000126205.35683.0a Mu, F., Liu, J., Lou, H., Zhu, W., Wang, Z., & Li, B. (2024). How breaking a sweat affects mood: The mediating role of self-efficacy between physical exercise and emotion regulation ability. PLOS ONE, 19.https://doi.org/10.1371/journal.pone.0303694. Musliner, K. L., Munk-Olsen, T., Eaton, W. W., & Zandi, P. P. (2016). Heterogeneity in long-term trajectories of depressive symptoms: Patterns, predictors and outcomes. Journal of affective disorders, 192, 199–211. https://doi.org/10.1016/j.jad.2015.12.030 Müller, A. M., Khoo, S., & Lambert, R. (2013). Review of physical activity prevalence of Asian school-age children and adolescents. Asia-Pacific journal of public health, 25(3), 227–238. https://doi.org/10.1177/1010539513481494 Nagin, D. S. (1999). Analyzimg developmental trajectories: a semiparametric, group-based approach. Psychological Methods, 4(2), 139-157.https://psycnet.apa.org/doi/10.1037/1082-989X.4.2.139 Nagin, Daniel. Group-based modeling of development. Harvard University Press, 2005. Nagin, D. S. (2001). Mixture models for estimating developmental trajectories. Sociological Methods & Research, 29(3), 374-393.https://doi.org/10.1177/0049124101029003005 Nagin, D. S. (2014). Group-based trajectory modeling: An overview. Annals of Nutrition and Metabolism, 65, 205–210. https://doi.org/10.1159/000360229 Nagin, D. S., & Odgers, C. L. (2010). Group-based trajectory modeling in clinical research. Annual Review of Clinical Psychology, 6, 109-138.https://doi.org/10.1146/annurev.clinpsy.12120 Najman, J. M., Hayatbakhsh, M. R., Clavarino, A., Bor, W., O'Callaghan, M. J., & Williams, G. M. (2010). Family poverty over the early life course and recurrent adolescent and young adult anxiety and depression: a longitudinal study. American journal of public health, 100(9), 1719–1723.https://doi.org/10.2105/AJPH.2009.180943 Nelson, M., Neumark-Stzainer, D., Hannan, P., Sirard, J., & Story, M. (2006). Longitudinal and Secular Trends in Physical Activity and Sedentary Behavior During Adolescence. Pediatrics, 118, 1627 - 1634.https://doi.org/10.1542/peds.2006-0926. Nguena Nguefack, H. L., Pagé, M. G., Katz, J., Choinière, M., Vanasse, A., Dorais, M., Samb, O. M., & Lacasse, A. (2020). Trajectory Modelling Techniques Useful to Epidemiological Research: A Comparative Narrative Review of Approaches. Clinical epidemiology, 12, 1205–1222. https://doi.org/10.2147/CLEP.S265287 Nolen-Hoeksema, S., & Girgus, J. (1994). The emergence of gender differences in depression during adolescence. Psychological bulletin, 115(3), 424-43 .https://doi.org/10.1037/0033-2909.115.3.424. Nunnally, J.C., (1978), Psychometric Theory, New York: McGraw-Hill. Office of Disease Prevention and Health Promotion. (2021). Increase the proportion of adolescents who do enough muscle-strengthening activity. U.S. Department of Health and Human Services.https://odphp.health.gov/healthypeople/objectives-and-data/browse-objectives/physical-activity/increase-proportion-adolescents-who-do-enough-muscle-strengthening-activity-pa-07 Ormel, J., Cuijpers, P., Jorm, A. F., & Schoevers, R. (2019). Prevention of depression will only succeed when it is structurally embedded and targets big determinants. World psychiatry : official journal of the World Psychiatric Association (WPA), 18(1), 111–112. https://doi.org/10.1002/wps.20580 Padilla-Moledo, C., Ruiz, J. R., & Castro-Piñero, J. (2016). Parental educational level and psychological positive health and health complaints in Spanish children and adolescents. Child: care, health and development, 42(4), 534–543.https://doi.org/10.1111/cch.12342 Padmanathan, P., Bould, H., Winstone, L., Moran, P., & Gunnell, D. (2020). Social media use, economic recession and income inequality in relation to trends in youth suicide in high-income countries: a time trends analysis. Journal of affective disorders, 275, 58–65. https://doi.org/10.1016/j.jad.2020.05.057 Panayiotou, G., & Papageorgiou, M. (2007). Depressed mood: The role of negative thoughts, self- consciousness, and sex role stereotypes. International Journal of Psychology, 42, 289-296. https://doi.org/10.1080/00207590701318389. Pate, R., Schenkelberg, M., Dowda, M., & McIver, K. (2019). Group-based physical activity trajectories in children transitioning from elementary to high school. BMC Public Health, 19. https://doi.org/10.1186/s12889-019-6630-7. Panayides, P. (2013). Coefficient Alpha: Interpret With Caution. Europe’s Journal of Psychology, 9(4), 687–696. https://doi.org/10.5964/ejop.v9i4.653 Park, J., & Chung, I. (2013). Adolescent Suicide Triggered by Problems at School in Korea: Analyses Focusing on Depression, Suicidal Ideation, Plan, and Attempts as Four Dimensions of Suicide. Child Indicators Research, 7, 75-88.https://doi.org/10.1007/S12187-013-9197-3. Pettit, J. W., Lewinsohn, P. M., Seeley, J. R., Roberts, R. E., & Yaroslavsky, I. (2010). Developmental relations between depressive symptoms, minor hassles, and major events from adolescence through age 30 years. Journal of abnormal psychology, 119(4), 811–824. https://doi.org/10.1037/a0020980 Pine, D., Cohen, P., Johnson, J., & Brook, J. (2002). Adolescent life events as predictors of adult depression. Affective disorders, 68 (1),49-57.https://doi.org/10.1016/s0165-0327(00)00331-1 Pössel, P., Burton, S., Cauley, B., Sawyer, M., Spence, S., & Sheffield, J. (2018). Associations between Social Support from Family, Friends, and Teachers and depressive Symptoms in Adolescents. Journal of Youth and Adolescence, 47, 398-412. https://doi.org/10.1007/s10964-017-0712-6. Pratt, M., Macera, C. A., & Blanton, C. (1999). Levels of physical activity and inactivity in issues. Medicine and science in sports and exercise, 31(11 Suppl), S526–S533. https://doi.org/10.1097/00005768-199911001-00007 Quon, E. C., & McGrath, J. J. (2014). Subjective socioeconomic status and adolescent health: a meta-analysis. Health Psychology, 33(5), 433.https://doi.org/10.1037/a0033716 Radloff, L. S. (1977). The CES-D Scale: A self-report depression scale for research in the general population. Applied Psychological Measurement, 1(3), 385–401. https://doi.org/10.1177/014662167700100306 Rasmussen, M., & Laumann, K. (2013). The academic and psychological benefits of exercise in healthy children and adolescents. Psychology of Education, 28, 945-962. https://doi.org/10.1007/S10212-012-0148-Z. Rebar, A. L., Stanton, R., Geard, D., Short, C., Duncan, M. J., & Vandelanotte, C. (2015). A meta-meta-analysis of the effect of physical activity on depression and anxiety in non-clinical adult populations. Health psychology review, 9(3), 366-378. https://doi.org/10.1080/17437199.2015.1022901 Reiss, F. (2013) Socio-Economic Inequalities and Mental Health Problems in Children and Adolescents: A Systematic Review. Social Science and Medicine, 90, 24- 31. http://dx.doi.org/10.1016/j.socscimed.2013.04.026 Robbins, L. B., Pender, N. J., & Kazanis, A. S. (2003). Barriers to physical activity perceived by adolescent girls. Journal of midwifery & women's health, 48(3), 206–212. https://doi.org/10.1016/s1526-9523(03)00054-0 Rosenström, T., Jokela, M., Hintsanen, M., Josefsson, K., Juonala, M., Kivimäki, M., Pulkki-Råback, L., Viikari, J., Hutri-Kähönen, N., Heinonen, E., Raitakari, O., & Keltikangas-Järvinen, L. (2013). Body-image dissatisfaction is strongly associated with chronic dysphoria. Affective disorders, 150(2), 253- 60.https://doi.org/10.1016/j.jad.2013.04.003. Rothon, C., Edwards, P., Bhui, K., Viner, R., Taylor, S., & Stansfeld, S. (2010). Physical activity and depressive symptoms in adolescents: a prospective study. BMC Medicine, 8, 32–32. https://doi.org/10.1186/1741-7015-8-32 Sabiston, C. M., Jewett, R., Ashdown-Franks, G., Belanger, M., Brunet, J., O’Loughlin, E., & O’Loughlin, J. (2016). Number of Years of Team and Individual Sport Participation During Adolescence and Depressive Symptoms in Early Adulthood. Journal of Sport and Exercise Psychology, 38(1), 105-110.https://doi.org/10.1123/jsep.2015-0175 Sagatun, A., Søgaard, A. J., Bjertness, E., et al. (2007). The association between weekly hours of physical activity and mental health: A three-year follow-up study of 15–16-year-old students in the city of Oslo, Norway. BMC Public Health, 7, 155. https://doi.org/10.1186/1471-2458-7-155 Sallis, J. F., Prochaska, J. J., & Taylor, W. C. (2000). A review of correlates of physical activity of children and adolescents. Medicine and science in sports and exercise, 32(5), 963–975. https://doi.org/10.1097/00005768-200005000-00014 Sallis, J. F., Zakarian, J. M., Hovell, M. F., & Hofstetter, C. R. (1996). Ethnic, socioeconomic, and sex differences in physical activity among adolescents. Journal of clinical epidemiology, 49(2), 125–134.https://doi.org/10.1016/0895-4356(95)00514-5 Salk, R. H., Hyde, J. S., & Abramson, L. Y. (2017). Gender differences in depression in representative national samples: Meta-analyses of diagnoses and symptoms. Psychological bulletin, 143(8), 783–822.https://doi.org/10.1037/bul0000102 Salk, R. H., Petersen, J. L., Abramson, L. Y., & Hyde, J. S. (2016). The contemporary face of gender differences and similarities in depression throughout adolescence: Development and chronicity. Journal of affective disorders, 205, 28–35. https://doi.org/10.1016/j.jad.2016.03.071 Schuch, F. B., Vancampfort, D., Firth, J., Rosenbaum, S., Ward, P. B., Silva, E. S., Hallgren, M., Ponce De Leon, A., Dunn, A. L., Deslandes, A. C., Fleck, M. P., Carvalho, A. F., & Stubbs, B. (2018). Physical Activity and Incident Depression: A Meta-Analysis of Prospective Cohort Studies. The American journal of psychiatry, 175(7), 631–648. https://doi.org/10.1176/appi.ajp.2018.17111194. Schoon, I., Sacker, A., & Bartley, M. (2003). Socio-economic adversity and psychosocial adjustment: a developmental-contextual perspective. Social science & medicine, 57(6), 1001-1015. https://psycnet.apa.org/doi/10.1016/S0277-9536(02)00475-6 Seidler, Z. E., Dawes, A. J., Rice, S. M., Oliffe, J. L., & Dhillon, H. M. (2016). The role of masculinity in men's help-seeking for depression: A systematic review. Clinical psychology review, 49, 106–118.https://doi.org/10.1016/j.cpr.2016.09.002 Sherar, L. B., Cumming, S. P., Eisenmann, J. C., Baxter-Jones, A. D., & Malina, R. M. (2010). Adolescent biological maturity and physical activity: biology meets behavior. Pediatric exercise science, 22(3), 332–349.https://doi.org/10.1123/pes.22.3.332 Shore, L., Toumbourou, J. W., Lewis, A. J., & Kremer, P. (2018). Review: Longitudinal trajectories of child and adolescent depressive symptoms and their predictors - a systematic review and meta-analysis. Child and adolescent mental health, 23(2), 107–120. https://doi.org/10.1111/camh.12220 Sherar, L. B., Cumming, S. P., Eisenmann, J. C., Baxter-Jones, A. D., & Malina, R. M. (2010). Adolescent biological maturity and physical activity: biology meets behavior. Pediatric exercise science, 22(3), 332–349.https://doi.org/10.1123/pes.22.3.332 Siegel, J. M., Yancey, A. K., Aneshensel, C. S., & Schuler, R. (1999). Body image, perceived pubertal timing, and adolescent mental health. Journal of Adolescent Health, 25(2), 155–165. https://doi.org/10.1016/s1054-139x(98)00160-8 Singh, B., Olds, T., Curtis, R., Dumuid, D., Virgara, R., Watson, A., Szeto, K., O'Connor, E., Ferguson, T., Eglitis, E., Miatke, A., Simpson, C. E., & Maher, C. (2023). Effectiveness of physical activity interventions for improving depression, anxiety and distress: an overview of systematic reviews. British journal of sports medicine, 57(18), 1203–1209. https://doi.org/10.1136/bjsports-2022-106195 Sonego, M., Llácer, A., Galán, I., & Simón, F. (2013). The influence of parental education on child mental health in Spain. Quality of Life Research, 22, 203-211.https://doi.org/10.1007/s11136-012-0130-x. Stavrakakis, N., de Jonge, P., Ormel, J., & Oldehinkel, A. J. (2012). Bidirectional prospective associations between physical activity and depressive symptoms. The TRAILS Study. The Journal of adolescent health : official publication of the Society for Adolescent Medicine, 50(5), 503–508.https://doi.org/10.1016/j.jadohealth.2011.09.004 Steigen, A. M., Leonhardt, M., Lien, L., & Vettore, M. V. (2024). Are social pressure, bullying and low social support associated with depressive symptoms, self-harm and self-directed violence among adolescents? A cross-sectional study using a structural equation modeling approach. BMC psychiatry, 24(1), 239.https://doi.org/10.1186/s12888-024-05696-1 Stoolmiller, M., Kim, H., & Capaldi, D. (2005). The course of depressive symptoms in men from early adolescence to young adulthood: identifying latent trajectories and early predictors. Journal of abnormal psychology, 114 (3), 331-45. https://doi.org/10.1037/0021-843X.114.3.331. Suwinyattichaiporn, T., & Johnson, Z. (2020). The Impact of Family and Friends Social Support on Latino/a First-Generation College Students’ Perceived Stress, Depression, and Social Isolation. Hispanic Higher Education, 21, 297 - 314.https://doi.org/10.1177/1538192720964922. Sushma, K., Srikhyahi, S., Summaiya, T., Teja, S., Susmitha, K., Kishore, R., Rithvi, A., Akash, H., Hamsa, A., Anjana, V. P., Keerthi, S., Srija, P., Pavani, S., Snehitha, A., & Akhila, Y. (2020). Depression, anxiety and stress among high school adolescent children in public and private schools: A comparative study. MRIMS Journal of Health Sciences, 8(2), 31-34. https://doi.org/10.4103/2321-7006.301996 Taylor, S. E., Klein, L. C., Lewis, B. P., Gruenewald, T. L., Gurung, R. A., & Updegraff, J. A. (2000). Biobehavioral responses to stress in females: tend-and-befriend, not fight-or-flight. Psychological review, 107(3), 411–429. https://doi.org/10.1037/0033-295x.107.3.411 Telford, R., Telford, R., Olive, L., Cochrane, T., & Davey, R. (2016). Why Are Girls Less Physically Active than Boys? Findings from the LOOK Longitudinal Study. PLoS ONE,11. https://doi.org/10.1371/journal.pone.0150041. Troiano, R., Berrigan, D., Dodd, K., Mâsse, L., Tilert, T., & McDowell, M. (2008). Physical activity in the United States measured by accelerometer. Medicine and science in sports and exercise, 40(1), 181-8.https://doi.org/10.1249/MSS.0B013E31815A51B3. Twenge, J. M., & Nolen-Hoeksema, S. (2002). Age, gender, race, socioeconomic status, and birth cohort difference on the children’s depression inventory: A meta-analysis. Journal of Abnormal Psychology, 111(4), 578-588. Van Sluijs, E. M. F., Ekelund, U., Crochemore-Silva, I., Guthold, R., Ha, A., Lubans, D., Oyeyemi, A. L., Ding, D., & Katzmarzyk, P. T. (2021). Physical activity behaviours in adolescence: current evidence and opportunities for intervention. Lancet (London, England), 398(10298), 429–442.https://doi.org/10.1016/S0140-6736(21)01259-9 Welk, G. J., Wood, K., & Morss, G. (2003). Parental influences on physical activity in children: An exploration of potential mechanisms. Pediatric exercise science,15(1), 19-33.https://doi.org/10.1186/1471-2458-7-155 Weinstein, A., Koehmstedt, C., & Kop, W. (2017). Mental health consequences of exercise withdrawal: A systematic review. General hospital psychiatry, 49, 11-18.https://doi.org/10.1016/j.genhosppsych.2017.06.001. Wegner, M., Amatriain-Fernández, S., Kaulitzky, A., Murillo-Rodriguez, E., Machado, S., & Budde, H. (2020). Systematic Review of Meta-Analyses: Exercise Effects on Depression in Children and Adolescents. Frontiers in psychiatry, 11, 81. https://doi.org/10.3389/fpsyt.2020.00081 World Health Organization. (2023,). Depressive disorder (depression).https://www.who.int/news-room/fact-sheets/detail/depression World Health Organization. (2024, Oct). Mental health of adolescents. https://www.who.int/news-room/fact-sheets/detail/adolescent-mental-health. World Health Organization. (2022, Oct). Global Status Report on Physical Activity.https://iris.who.int/bitstream/handle/10665/363607/9789240059153-eng.pdf?sequence=1 World Health Organization. (2020, Nov). WHO guidelines on physical activity and sedentary behaviour. https://www.who.int/publications/i/item/9789240015128 Wu, WC., Chang, LY., Luh, DL. et al. Sex differences in the trajectories of and factors related to extracurricular sport participation and exercise: a cohort study https://doi.org/10.1186/s12889-020-09745- Yang, Q., Zhang, W., Wu, H., Huang, B., Zhang, C., & Niu, G. (2023). The Association between Perceived Family Financial Stress and Adolescent Suicide Ideation: A Moderated Mediation Model. Behavioral sciences (Basel, Switzerland), 13(11), 948. https://doi.org/10.3390/bs13110948 Zhang, J., & Yen, S. (2015). Physical Activity, Gender Difference, and Depressive Symptoms. Health services research, 50(5), 1550-73 .https://doi.org/10.1111/1475-6773.12285. Zhang, C., Shi, L., Tian, T., Zhou, Z., Peng, X., Shen, Y., Li, Y., & Ou, J. (2022). Associations Between Academic Stress and Depressive Symptoms Mediated by Anxiety Symptoms and Hopelessness Among Chinese College Students. Psychology research and behavior management, 15, 547–556.https://doi.org/10.2147/PRBM.S353778 | - |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/99885 | - |
| dc.description.abstract | 目的:青少年心理健康問題日益嚴重，自殺已攀升至台灣15～24歲年輕族群第二大死因。另一方面，全球近八成的青少年運動不足，有運動習慣之比例在性別中的差距逐年擴大，台灣亦只有五分之一的學生有達到世界衛生組織建議量。過去研究發現運動與憂鬱為負相關，其中不論在運動還是憂鬱情緒皆有性別差異，然台灣尚缺乏青少年運動變化與憂鬱變化同時探討之雙軌跡研究。本研究旨在釐清13-22歲學生時期，不同性別之運動軌跡與憂鬱情緒軌跡的長期發展關係。
方法:採用「兒童與青少年行為之長期發展研究」(CABLE)第一世代進行次級資料分析。本研究使用2007年至2016年間之資料，即受訪者從國中一年級追蹤至大學四年級，共有1969人。以群體基礎軌跡模型分組，再使用多元羅吉斯迴歸分析，控制家庭支持、同儕支持、父母教育程度、自覺家庭經濟、身體意象、課業壓力、電視電玩超時與重大生活事件，探究不同性別中，運動軌跡與憂鬱情緒軌跡之關係。 結果:男生課外運動軌跡分成三組:持續高運動(45.69%)、運動下降(22.43%)、持續低運動(31.88%)；女生課外運動軌跡分成持續高運動(33.30%)、運動下降(15.90%)、持續低運動(50.80%)。男生憂鬱情緒分成四組持續低憂鬱(15.58%)、憂鬱偏低(36.55%)、中等憂鬱(38.53%)、持續高憂鬱(9.35%)；女生憂鬱情緒分成五組：持續低憂鬱(5.07%)、憂鬱偏低(36.18%)、中憂鬱緩升(35.09%)、高憂鬱下降(8.95%)、持續高憂鬱(14.71%)。而課外運動軌跡與憂鬱情緒軌跡之關係，男生屬於運動下降且中等憂鬱組的聯合機率最高，為19.40%，女生則是在持續低運動且中憂鬱緩升組的聯合機率最高，為21.00%。控制背景因素後，以持續低憂鬱組為參考組，男生在持續低運動組成為憂鬱偏低與持續高憂鬱組之風險顯著較高，勝算比分別為10.19和3.56，但運動下降成為持續高憂鬱組風險顯著較低，勝算比為0.33；女生在持續低運動組成為中憂鬱緩升和持續高憂鬱組之風險顯著較高，勝算比分別為2.25和4.23。整體而言，課外運動軌跡與憂鬱情緒軌跡呈現負向關係。 結論: 不論男女，持續低運動為較高憂鬱軌跡的危險因子，學校和家庭應維持青少年的規律運動習慣，並規劃女生合適、有興趣的運動活動。此外，建議對於強化運動之介入計畫，女生介入時機應比男生早，國中為關鍵期。 | zh_TW |
| dc.description.abstract | Objective: Adolescents’ mental health is declining, with suicide rising to the second leading cause of death among the 15-24 age group in Taiwan. On the other hand, nearly 80% of adolescents worldwide are insufficiently active, and the gap in exercise habits between genders is widening each year. In Taiwan, only one-fifth of students meet the World Health Organization's recommended levels of physical activity. Previous studies have found a negative correlation between exercise and depression, with gender differences present in both exercise and depressive moods. However, Taiwan lacks dual-trajectory studies that simultaneously explore changes in adolescent exercise and depression. This study aims to clarify the long-term developmental relationship between exercise trajectories and depressive mood trajectories among students aged 13-22, considering gender differences.
Methods: This study conducts secondary data analysis using the first-generation data from the "Child and Adolescent Behavior Longitudinal Study" (CABLE). It employs data collected from 2007 to 2016, tracking participants from their first year of junior high school to their fourth year of university, with a total of 1,969 individuals. Group-based trajectory modeling was used to classify the trajectories, followed by multiple logistic regression analysis to control for family support, peer support, parental education level, perceived family economic status, body image, academic stress, excessive TV/video game usage, and life events, and to explore the relationship between exercise trajectories and depressive mood trajectories across different genders. Results: Boys' extracurricular exercise trajectories were divided into three groups: consistently high exercise (45.69%), declining exercise (22.43%), and consistently low exercise (31.88%). Girls' extracurricular exercise trajectories were divided into consistently high exercise (33.30%), declining exercise (15.90%), and consistently low exercise (50.80%). Boys' depressive moods were divided into four groups: consistently low depression (15.58%), low depression (36.55%), moderate depression (38.53%), and consistently high depression (9.35%). Girls' depressive moods were divided into five groups: consistently low depression (5.07%), low depression (36.18%), moderate depression with a slow increase (35.09%), high depression with a decline (8.95%), and consistently high depression (14.71%). Regarding the relationship between extracurricular exercise trajectories and depressive mood trajectories, boys had the highest joint probability in the declining exercise and moderate depression group at 19.40%, while girls had the highest joint probability in the consistently low exercise and moderate depression with a slow increase group at 21.00%. After controlling for background factors, using the consistently low depression group as the reference, boys in the consistently low exercise group had significantly higher risks of low depression and consistently high depression, with odds ratios of 10.19 and 3.56, respectively. However, declining exercise significantly reduced the risk of consistently high depression, with an odds ratio of 0.33. For girls, the consistently low exercise group had significantly higher risks of moderate depression with a slow increase and consistently high depression, with odds ratios of 2.25 and 4.23, respectively. Overall, extracurricular exercise trajectories and depressive mood trajectories showed a negative relationship. Conclusion: Regardless of gender, consistently low exercise is a risk factor for higher depressive mood trajectories. Therefore, it is important to encourage students to develop regular exercise habits early on. Additionally, it is recommended that intervention programs for strength training exercises or physical activity (PA) be initiated earlier for females than for males, as middle school represents a critical developmental period. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2025-09-19T16:11:46Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2025-09-19T16:11:46Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | 口試委員會審定書 i
口試委員會審定書 i 誌謝 ii 中文摘要 iii Abstract v 第一章 緒論 1 第一節 研究背景與動機 1 第二節 研究目的 4 第二章 文獻回顧 5 第一節 運動的概念與測量 5 第二節 憂鬱的概念與測量 8 第三節 運動與憂鬱情緒的性別差異與實證研究 11 第四節 運動軌跡與憂鬱情緒軌跡研究 14 第五節 其他影響憂鬱情緒之因素 19 第六節 本章小結 22 第三章 研究方法 23 第一節 研究架構 23 第二節 資料來源與對象 24 第三節 研究變項 27 第四節 資料分析 35 第五節 研究倫理 36 第四章 研究結果 37 第一節 研究樣本特性 37 第二節 研究樣本課外運動與憂鬱情緒分布情形 41 第三節 研究樣本課外運動軌跡與憂鬱情緒軌跡模型 45 第四節 憂鬱情緒軌跡類型多元羅吉斯迴歸分析 68 第五章 討論 77 第一節 13-22歲學生課外運動軌跡類型 77 第二節 13-22歲學生憂鬱情緒軌跡類型 80 第三節 影響學生憂鬱情緒軌跡之因素 82 第四節 學生課外運動軌跡與憂鬱情緒軌跡之關係 85 第五節 研究限制 87 第六章 結論與建議 90 第一節 結論 90 第二節 建議 92 參考文獻 96 | - |
| dc.language.iso | zh_TW | - |
| dc.subject | 運動軌跡 | zh_TW |
| dc.subject | 憂鬱情緒軌跡 | zh_TW |
| dc.subject | 性別研究 | zh_TW |
| dc.subject | 雙軌跡模型 | zh_TW |
| dc.subject | dual trajectory model | en |
| dc.subject | gender studies | en |
| dc.subject | trajectories of exercise | en |
| dc.subject | trajectories of depressive mood | en |
| dc.title | 運動軌跡與憂鬱情緒軌跡之關係:13-22歲之性別比較 | zh_TW |
| dc.title | The Association Between Trajectories of Exercise and Trajectories of Depressive Mood: A Sex Comparison Among Individuals Aged 13-22 | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 113-2 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.oralexamcommittee | 林佑真;張齡尹 | zh_TW |
| dc.contributor.oralexamcommittee | Yu-Chen Lin;LING-YIN CHANG | en |
| dc.subject.keyword | 憂鬱情緒軌跡,運動軌跡,雙軌跡模型,性別研究, | zh_TW |
| dc.subject.keyword | trajectories of depressive mood,trajectories of exercise,dual trajectory model,gender studies, | en |
| dc.relation.page | 113 | - |
| dc.identifier.doi | 10.6342/NTU202500751 | - |
| dc.rights.note | 同意授權(全球公開) | - |
| dc.date.accepted | 2025-03-14 | - |
| dc.contributor.author-college | 公共衛生學院 | - |
| dc.contributor.author-dept | 健康政策與管理研究所 | - |
| dc.date.embargo-lift | 2025-09-20 | - |
| 顯示於系所單位： | 健康政策與管理研究所 | |
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