跳到主要內容

臺灣博碩士論文加值系統

(216.73.216.223) 您好!臺灣時間:2025/10/08 08:40
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

我願授權國圖
: 
twitterline
研究生:蔡雅寧
研究生(外文):Ya-Ning Tsai
論文名稱:學生從七至十二年級之運動發展軌跡
論文名稱(外文):Developmental trajectory of exercise among students from 7th to 12th grade
指導教授:李蘭李蘭引用關係
指導教授(外文):Lee-Lan Yen
口試委員:陳富莉吳文琪
口試日期:2011-06-15
學位類別:碩士
校院名稱:國立臺灣大學
系所名稱:健康政策與管理研究所
學門:醫藥衛生學門
學類:公共衛生學類
論文種類:學術論文
論文出版年:2011
畢業學年度:99
語文別:中文
論文頁數:111
中文關鍵詞:運動發展軌跡青少年重複量數潛在類別分析長期追蹤
外文關鍵詞:exercisedevelopmental trajectoryadolescentrepeated-measures latent class analysislongitudinal
相關次數:
  • 被引用被引用:1
  • 點閱點閱:261
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:1
目的:探討男生及女生從七到十二年級之運動發展軌跡類型及相關因素。方法:從兒童及青少年行為之長期發展研究 (簡稱CABLE) 資料庫中,選取2001年就讀四年級之世代,共1662人為研究樣本,使用研究樣本從七年級起連續六年間填答之資料,進行次級資料分析。統計方法為重複量數潛在類別分析及多項名義邏輯廻歸模型。結果:男生從七至十二年級有運動的比率歷年皆顯著高於女生,且男、女有運動之比率皆呈現逐年下降趨勢,男生在高中時顯著下降,女生則在國中時就顯著下降。六年間之運動發展軌跡類型,男生可分為三類:持續高組 (47.76%)、由高變低組 (22.29%)、持續低組 (29.95%);女生也可分為三類:持續高組 (24.20%)、由高變低組 (22.73%)、持續低組 (53.07%)。與男生之運動發展軌跡類型相關的因素有身體意象、自覺健康、課業壓力及父母婚姻狀態;與女生之運動發展軌跡類型相關的因素為父親教育程度。結論:女生在七至十二年級有運動的比率偏低且下降迅速,值得注意,運動的預防介入應提前至小學開始。學生從七至十二年級之運動情形,有不同的發展軌跡類型,故應針對不同類型之次族群開發不同的運動策略。從運動發展軌跡類型來看,男生之身體意象滿意度低、自覺健康程度低、課業壓力高者,較易成為「持續低組」,所以應多注意並及早培養該群學生的運動習慣。

Objectives: To investigate the patterns and relative factors of developmental trajectory of exercise for boys and girls from 7th to 12th grade. Methods: Dataset from Child and Adolescent Behavior in Long-term Evolution (CABLE) project was used for secondary analysis. Total of 1,662 students followed up from 7th to 12th grade (from 2004 to 2009) were included. Repeated-measures latent class analysis and multinomial logit model were used in the statistical analysis. Results: Boys had significantly higher exercise rate than girls from 7th to 12th grade. The boys’ exercise rate decreased significantly starting from senior high school, while the girls’ exercise rate decreased significantly earlier than boys’. The three-latent-class model had been selected for both boys and girls. There were three trajectory patterns of exercise for boys: persistent high (47.76%), high to low (22.29%), and persistent low (29.95%). There were also three trajectory patterns of exercise for girls: persistent high (24.20%), high to low (22.73%), and persistent low (53.07%). Developmental trajectory patterns of exercise of boys were significantly associated with body image, self-perceived health, academic pressure and parental marital status. Developmental trajectory patterns of exercise of girls were significantly associated with father’s education. Conclusions: The girls’ exercise rate is low from 7th to 12th grade and declines rapidly. Prevention and intervention should be initiated early in elementary school. It is necessary to develop different exercise promotion strategies for different trajectory subgroups. Boys who have low body image satisfaction, low self-perceived health level, and high academic pressure would incline to “persistent low” group. As a result, we should encourage the boys to cultivate exercise habit.

口試委員會審定書 i
誌謝 ii
摘要 iii
Abstract iv
第一章 緒論 1
第一節 研究背景 1
第二節 研究目的 3
第二章 文獻探討 4
第一節 運動的定義 4
第二節 青少年從事運動之情形 7
第三節 青少年從事運動之相關因素 12
第四節 生態模式在健康行為的應用 16
第五節 發展軌跡分析在健康行為之應用 18
第三章 研究方法 22
第一節 研究架構 22
第二節 研究樣本 24
第三節 研究變項 26
第四節 統計分析 33
第四章 結果 34
第一節 研究樣本個人因素及家庭因素之分布 34
第二節 研究樣本從七至十二年級運動之比率及歷年趨勢 37
第三節 研究樣本之運動發展軌跡類型及相關因素 40
第五章 討論 57
第一節 男生及女生之運動比率、發展軌跡類型及其差異 57
第二節 影響學生從七至十二年級之運動發展軌跡類型的相關因素 60
第三節 研究限制 62
第六章 結論與建議 63
第一節 結論 63
第二節 建議 66
參考文獻 69
附錄:2004年CABLE問卷 75



中文部分
邱皓政 (2008)。潛在類別模式:原理與技術。台北:五南。
教育部 (2006)。95年度各級學校學生運動參與情形調查報告。臺北市:教育部。
教育部 (2007)。96年度各級學校學生運動參與情形調查報告。臺北市:教育部。
教育部 (2008)。97年度各級學校學生運動參與情形調查報告。臺北市:教育部。
教育部 (2009)。98年度各級學校學生運動參與情形調查報告。臺北市:教育部。
教育部 (2011年4月10日)。體適能網站。體適能常模:身體質量。取自http://www.fitness.org.tw/model08.php
張奕涵、李蘭、張新儀、吳文琪 (2010)。男女學生四至十一年級之社交焦慮發展軌跡研究。台灣公共衛生雜誌,29(5),465-476。
劉影梅、陳美燕、簡莉盈、張博論、洪永泰。促進學生健康體位之全國性整合計畫經驗。護理雜誌,54(5),30-36。

英文部分
Baranowski, T., Bar-Or, O., Blair, S., Corbin, C., Dowda, M., Freedson, P., Pate, R., Plowman, S., Sallis, J., Saunders, R., Seefeldt, V., Siedentop, D., Simons-Morton, B., Spain, C., Tappe, M., & Ward, D. (1997). Guidelines for school and community programs to programs to promote lifelong physical activity among young people. MMWR. Recommendations and Reports, 46(RR-6), 1-36.
Belisle, M., Roskies, E., & Levesque, J. (1987). Improving adherence to physical activity. Health Psychology, 31, 15-22.
Biddle, S., & N. Armstrong (1992). Children''s physical activity: an exploratory study of psychological correlates. Social Science & Medicine, 34(3), 325-331.
Biddle, S. J., Gorely, T., & Stensel, D. J. (2004). Health-enhancing physical activity and sedentary behavior in children and adolescents. Journal of Sports Sciences, 22(8), 679-701.
Bronfenbrenner, U. (2005). Making human beings human: bioecological perspectives on human development. Thousand Oaks, CA: Sage.
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, 100(2), 126-131.
Coakley, J. (2004). Sports in society: issues and controversies (8th ed.). New York: McGraw-Hill.
Cockburn, C., & Clarke, G. (2002). "Everybody''s looking at you!" Girls negotiating the "femininity deficit" they incur in physical education. Women''s Studies International Forum, 25(6), 651-665.
Collins, L. M., & Lanza, S. T. (2010). Latent class and latent transition analysis: with applications in the social, behavioral, and health sciences. Hoboken, NJ: John Wiley & Sons, Inc.
Colman, I., Ploubidis, G. B., Wadsworth, M. E. J., Jones, P. B., & Croudace, T. J. (2007). A longitudinal typology of symptoms of depression and anxiety over the life course. Biological Psychiatry, 62(11), 1265-1271.
Croudace, T. J., Jarvelin, M. R., Wadsworth, M. E. J., & Jones, P. B. (2003). Developmental typology of trajectories to nighttime bladder control: epidemiologic application of longitudinal latent class analysis. American Journal of Epidemiology, 157(9), 834-842.
Davis, C., & Cowles, M. (1991). Body image and exercise: a study of relationships and comparisons between physically active men and women. Sex Roles, 25, 33-44.
Duke, J., Huhman, M., & Heitzer, C. (2003). Physical activity levels among children aged 9-13 years: United State, 2002. Morbidity and Mortality Weekly Report, 52(33), 785-788.
Duncan, M. J., Al-Nakeeb, Y., Nevill, A., & Jones, M. V. (2004). Body image and physical activity in British secondary school children. European Physical Education Review, 10(3), 243-260.
Eaton, D. K., Kann, L., Kinchen, S., Ross, J., Hawkins, J., Harris, W., Lowry, R., McManus, T., Chyen, D., Shanklin, S., Lim, C., Grunbaum, J., & Wechsler, H. (2006). Youth Risk Behavior Surveillance -- United States, 2005. Journal of School Health, 76(7): 353-372.
Eaton, D. K., Kann, L., Kinchen, S., Shanklin, S., Ross, J., Hawkins, J., Harris, W. A., Lowry, R., McManus, T., Chyen, D., Lim, C., Brener, N. D., & Wechsler, H. (2008). Youth Risk Behavior Surveillance -- United States, 2007. MMWR. Surveillance Summaries, 57(SS04), 1-131.
Eaton, D. K., Kann, L., Kinchen, S., Shanklin, S., Ross, J., Hawkins, J., Harris, W. A., Lowry, R., McManus, T., Chyen, D., Lim, C., Whittle, L., Brener, N. D., & Wechsler, H. (2010). Youth Risk Behavior Surveillance -- United States, 2009. MMWR. Surveillance Summarie, 59(SS05), 1-142.
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, 8(2), 129-154.
Flory, K., Lynam, D., Milich,R., Leukefeld, C., & Clayton, R. (2004). Early adolescent through young adult alcohol and marijuana use trajectories: early predictors, young adult outcomes, and predictive utility. Development and Psychopathology, 16(01), 193-213.
Freedson, P. S. & Miller, K. (2000). Objective monitoring of physical activity using motion sensors and heart rate. Research Quarterly for Exercise and Sport, 71(2 Suppl), S21-S29.
Gordon-Larsen, P., R. G. McMurray, & Popkin, B. M. (2000). Determinants of adolescent physical activity and inactivity patterns. Pediatrics, 105(6), e83.
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), 277-283.
Grunbaum, J. A., Kann, L., Kinchen, S., Ross, J., Hawkins, J., Lowry, R., Harris, W. A., McManus, T., Chyen, D., & Collins, J. (2004). Youth risk behavior surveillance -- United States, 2003. MMWR. Surveillance Summaries, 53(2), 1-96.
Gustafson, S. L., & Rhodes, R. E. (2006). Parental correlates of physical activity in children and early adolescents. Sports Medicine, 36, 79-97.
Hawley, A. (1986). Human ecology: a theoretical essay. Chicago: University of Chicago Press.
Kimm, S. Y. S., Glynn, N. W., Obarzanek, E., Kriska, A. M., Daniels, S. R., Barton, B. A., Liu, K. (2005). Relation between the changes in physical activity and body-mass index during adolescence: a multicentre longitudinal study. Lancet, 366, 301–307.
Lanza, S. T., & Collins, L. M. (2006). A mixture model of discontinuous development in heavy drinking from ages 18 to 30: the role of college enrollment. Journal of Studies on Alcohol, 67(4), 552-561.
Lanza, S. T., Lemmon, D. R., Dziak, J. J., Huang, L., Schafer, J. L., & Collins, L. M. (2010). Proc LCA & Proc LTA users’ guide version 1.2.5 beta. Pennsylvania: The Methodology Center, Pennsylvania State University.
Larsen, H. B., Christensen, D. L., Holan, T., & Sondergaard, H. (2004). Body dimension, exercise capacity and physical activity level of adolescent Nandi boys in western Kenya. Annals of Human Biology, 31(2), 159-173.
Lin, T. H., & Dayton, C. M. (1997). Model selection information criteria for non-nested latent class models. Journal of Educational and Behavioral Statistics, 22(3), 249-264.
Marshall, S. J., Biddle, S. J. H., Gorely, T., Cameron, N., & Murdey, I. (2004). Relationships between media use, body fatness and physical activity in children and youth: a meta-analysis. International Journal of Obesity, 28(10), 1238-1246.
Marshall, S. J., & Welk, G. J. (2008). Definition and measurement. In A. Smith & S. Biddle (Eds.), Youth physical activity and sedentary behavior: challenges and solutions (pp. 3-29). Champaign, IL: Human Kinetics.
Mulvihill, C., Rivers, K., & Aggleton, P. (2000). Physical activity ‘at our time’: qualitative research among young people aged 5 to 15 years and parents. London, England: Health Education Authority.
Must, A., & Tybor, D. J. (2005). Physical activity and sedentary behavior: a review of longitudinal studies of weight and adiposity in youth. International Journal of Obesity, 29(Suppl 2), S84-S96.
Nader, P. R., Bradley, R. H., Houts, R. M., McRitchie, S. L., O’Brien, M. (2008). Moderate-to-Vigorous Physical Activity From Ages 9 to 15 Years. JAMA: The Journal of the American Medical Association, 300(3), 295-305.
Nagin, D. S. (1999). Analyzimg developmental trajectories: a semiparametric, group-based approach. Psychological Methods, 4(2), 139-157.
Nagin, D. S. (2005). Group-based modeling of development. Cambridge, MA: Harvard University Press.
Nagin, D. S., & Tremblay, R. E. (1999). Trajectories of boys'' physical aggression, opposition, and hyperactivity on the path to physically violent and nonviolent juvenile delinquency. Child Development, 70, 1181-1196.
Nigg, C. R., Borrelli, B., Maddock, J., & Dishman, R. K. (2008). A theory of physical activity maintenance. Applied Psychology, 57(4), 544-560.
Physical Activity Guidelines Advisory Committee. (2008). Physical Activity Guidelines Advisory Committee Report, 2008. Washington, D. C., U. S.: U. S. Department of Health and Human Services.
Pate, R. R., Pratt, M., Blair, S. N., Haskell, W. L., Macera, C. A., Bouchard, C., …Wilmore, J. H. (1995). Physical activity and public health: a recommendation from the Centers for Disease Control and Prevention and the American College of Sports Medicine. JAMA: The Journal of the American Medical Association, 273(5), 402-407.
Pratt, M., Maccera, C. A., & Blanton, C. (1999). Levels of physical activity and inactivity in children and adults in the United States: current evidence and research issues. Medicine and Science in Sports and Exercise, 31(11 Suppl), S526-533.
President’s Council on Physical Fitness and Sports. (1971). Physical Fitness Research Digest. Series 1, No. 1. Washington, DC: President’s Council on Physical Fitness and Sports.
Piko, B. (2007). Self-perceived health among adolescents: the role of gender and psychosocial factors. European Journal of Pediatrics, 166(7): 701-708.
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.
Sallis, J. F., Cervero, R. B., Ascher, W., Henderson, K. A., Kraft, M. K., & Kerr, J. (2006). An ecological approach to creating active living communities. Annual Review of Public Health, 27, 297-322.
Santrock, J. W. (2007). Child development. Eleventh edition. NY: McGraw-Hill Companies, Inc.
Shaw, S. M. (1991). Body image among adolescent women: the role of sports and physical active leisure. Journal of Applied Recreation Research, 16(4), 349-367.
Shephard, R. J., Jequier, J. C., Lavallee, H., Barre, R. L., & Rajic, M. (1980). Habitual physical activity: effects of sex, milieu, season and required activity. The Journal of Sports Medicine and Physical Fitness, 20(1), 55-66.
Telama, R., Yang, X., Viikari, J., Valimaki, I., Wanne, O., & Raitakari, O. (2005). Physical activity from childhood to adulthood: a 21-year tracking study. American Journal of Preventive Medicine, 28(3), 267-273.
Terre, L., Drabman, R. S., & Meydrech, E. F. (1999). Relationships among children’s health-related behaviors: a multivariate, developmental perspective. Preventive Medicine, 19, 134-146.
Tremblay, S., Dahinten, S., & Kohen, D. (2003). Factors related to adolescents'' self-perceived health. Health Reports, 14(Suppl), 7-16.
U. S. Department of Health and Human Services. (2008). 2008 Physical activity guidelines for Americans. Retrieved from http://www.health.gov/paguidelines
Vilhjalmsson, R. & Kristjansdottir, G. (2003). Gender differences in physical activity in older children and adolescents: the central role of organized sport. Social Science & Medicine, 56(2), 363-74.
Washington, R.E., & Karen, D. (2001). Sport and society. Annual Review of Sociology, 27, 187-212.
White, H. R., Nagin, D., Replogle, E., & Stouthamer-Loeber, M. (2004). Racial differences in trajectories of cigarette use. Drug and Alcohol Dependence, 76(3), 219-227.
Wolf, A. M., Gortmaker, S. L., Cheung, L., Cray, H. M., Herzog, D. B., & Colditz G. A. (1993). Activity, inactivity, and obesity: racial, ethnic, and age differences among schoolgirls. American Journal of Public Health, 83(11),1625-1627.
World Health Organization. (2000). Health and health behavior among young people. WHO policy series: health policy for children and adolescents issue 1. Geneva, Switzerland: World Health Organization.
World Health Organization. (2008). Global health risks: mortality and burden of disease attributable to selected major risks. Geneva, Switzerland: World Health Organization.
Yang, C. C. (2006). Evaluating latent class analysis models in qualitative phenotype identification. Computational Statistics & Data Analysis, 50(4), 1090-1104.
Yen, L.L., Chen, L., Lee, S.H., Hsiao, C., & Pan, L.Y. (2002). Children and adolescent behavior in long-term evolution (CABLE): a school-based health lifestyle study. Promotion & Education, 9(suppl 1), 33-40.


QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top