Bullying victimization, obesity, sleep quality, and gender: The moderating effects of academic achievement

References

• Addington, L. A. (2005). Disentangling the effects of bounding and mobility on reports of criminal victimization. Journal of Quantitative Criminology, 21(3), 321–343. https://doi.org/10.1007/s10940-005-4274-5
   Web of Science ®Google Scholar
• Ai, C., & Norton, E. C. (2003). Interaction terms in logit and probit models. Economics Letters, 80(1), 123–129. https://doi.org/10.1016/S0165-1765(03)00032-6
   Web of Science ®Google Scholar
• American Academy of Pediatrics. (2014). School start times for adolescents. Pediatrics, 134(3), 642–649.
   PubMed Web of Science ®Google Scholar
• American Medical Association. (2016, June 14). AMA supports delayed school start times to improve adolescent wellness. AMA Media & Editorial. https://www.amaassn.org/presscenter/press-releases/ama-supports-delayed-school-start-times-improve-adolescent-wellness
   Google Scholar
• Bartel, K. A., Gradisar, M., & Williamson, P. (2015). Protective and risk factors for adolescent sleep: A meta-analytic review. Sleep Medicine Reviews, 21, 72–85.
   PubMed Web of Science ®Google Scholar
• Basile, K. C., Clayton, H. B., DeGue, S., Gilford, J. W., Vagi, K. J., Suarez, N. A., Zwald, M. L., & Lowry, R. (2020). Interpersonal violence victimization among high school students – Youth Risk Behavior Survey, United States, 2019 (Morbidity and Mortality Weekly Report, 69(1), 28–37. U.S. Department of Health and Human Services, Centers for Disease Control and Prevention.
   Google Scholar
• Bergold, S., Wendt, H., Kasper, D., & Steinmayr, R. (2017). Academic competencies: Their interrelatedness and gender differences at their high end. Journal of Educational Psychology, 109(3), 439–449. https://doi.org/10.1037/edu0000140
   Web of Science ®Google Scholar
• Berry, F. (2021a). Individual protective factors associated with bullying victimization [unpublished doctoral dissertation]. Texas State University.
   Google Scholar
• Berry, F. (2021b). Bullying victimization, sexual minority status, and gender: Testing for the moderating effects of sleep duration [Manuscript submitted for publication]. Department of Social Sciences, Texas A&M University – Central Texas.
   Google Scholar
• Berry, W. D., Golder, M., & Milton, D. (2012). Improving tests of theories positing interaction. The Journal of Politics, 74(3), 653–671. https://doi.org/10.1017/S0022381612000199
   Web of Science ®Google Scholar
• Borlase, B. J., Gander, P. H., & Gibson, R. H. (2013). Effects of school start times and technology use on teenagers’ sleep: 1999–2008. Sleep and Biological Rhythms, 11(1), 46–54. https://doi.org/10.1111/sbr.12003
   Web of Science ®Google Scholar
• Bortes, C., Ragnarsson, S., Strandh, M., & Petersen, S. (2021). The bidirectional relationship between subjective well-being and academic achievement in adolescence. Journal of Youth and Adolescence, 50(5), 992–1002. https://doi.org/10.1007/s10964-021-01413-3
   PubMed Web of Science ®Google Scholar
• Bradburn, N. M., Sudman, S., & Wansink, B. (2004). Asking questions: The definitive guide to questionnaire design – For market research, political polls, and social and health questionnaires. (rev. ed.). Jossey-Bass.
   Google Scholar
• Bradshaw, C. P., Waasdorp, T. E., Goldweber, A., & Johnson, S. L. (2013). Bullies, gangs, drugs, and school: Understanding the overlap and the role of ethnicity and urbanicity. Journal of Youth and Adolescence, 42(2), 220–234.
   PubMed Web of Science ®Google Scholar
• Brambor, T., Clark, W. R., & Golder, M. (2006). Understanding interaction models: Improving empirical analyses. Political Analysis, 14(1), 63–82. https://doi.org/10.1093/pan/mpi014
   Web of Science ®Google Scholar
• Brener, N. D., Kann, K., Shanklin, S., Kinchen, S., Eaton, D. K., Hawkins, J., & Flint, K. H. (2013). Methodology of the Youth Risk Behavior Surveillance System – 2013 (Morbidity and Mortality Weekly Report, 62(1), 1. 20). U.S. Department of Health and Human Services, CDC. https://www.cdc.gov/mmwr/pdf/rr/rr6201.pdf
   Google Scholar
• Buis, M. L. (2010). Stata tip 87: Interpretation of interactions in nonlinear models. The Stata Journal: Promoting Communications on Statistics and Stata, 10(2), 305–308. https://doi.org/10.1177/1536867X1001000211
   Google Scholar
• Burgess, A. W., Regehr, C., & Roberts, A. R. (2013). Victimology: Theories and applications (2nd ed). Jones and Bartlett.
   Google Scholar
• Burns, R. D., Brusseau, T. A., Pfledderer, C. D., & Fu, Y. (2020). Sports participation correlates with academic achievement: Results from a large adolescent sample within the 2017 U.S. National Youth Risk Behavior Survey. Perceptual and Motor Skills, 127(2), 448–467. https://doi.org/10.1177/0031512519900055
   PubMed Web of Science ®Google Scholar
• Cantor, D., & Lynch, J. P. (2000). Self-report surveys as measures of crime and criminal victimization. Criminal Justice, 4, 85–138. NIJ (NCJ #185539). Retrieved from https://www.ncjrs.gov/criminal_justice2000/vol_4/04c.pdf.
   Google Scholar
• Cao, R., Gao, T., Ren, H., Hu, Y., Qin, Z., Liang, L., & Mei, S. (2021). The relationship between bullying victimization and depression in adolescents: Multiple mediating effects of internet addiction and sleep quality. Psychology, Health & Medicine, 26(5), 555–565. https://doi.org/10.1080/13548506.2020.1770814
   PubMed Web of Science ®Google Scholar
• Centers for Disease Control and Prevention (CDC). (2016a). 2015 YRBS data user’s guide. https://www.cdc.gov/healthyyouth/data/yrbs/pdf/2015/2015_yrbs-data-users_guide_smy_combined.pdf
   Google Scholar
• Centers for Disease Control and Prevention (CDC). (2016b). 2015 Youth Risk Behavior Survey. https://www.cdc.gov/healthyyouth/data/yrbs/data.htm
   Google Scholar
• Centers for Disease Control and Prevention (CDC). (2016c). 2015 YRBS questionnaire. https://www.cdc.gov/healthyyouth/data/yrbs/questionnaires.htm
   Google Scholar
• Centers for Disease Control and Prevention (CDC). (2019). Disability and obesity. Retrieved from. https://www.cdc.gov/ncbddd/disabilityandhealth/obesity.html
   Google Scholar
• Clark, K. N., Dorio, N. B., Eldridge, M. A., Malecki, C. K., & Demaray, M. K. (2020). Adolescent academic achievement: A model of social support and grit. Psychology in the Schools, 57(2), 204–221. https://doi.org/10.1002/pits.22318
   Web of Science ®Google Scholar
• Cohen, L. E., & Felson, M. (1979). Social change and crime rate trends: A routine activity approach. American Sociological Review, 44(4), 588–608. https://doi.org/10.2307/2094589
   Web of Science ®Google Scholar
• Daigle, L. E., & Muftić, L. R. (2016). Victimology. Sage.
   Google Scholar
• Dillman, D. A., Smyth, J. D., & Christian, L. M. (2009). Internet, mail, and mixed-mode surveys: The tailored design method (3rd ed). Wiley.
   Google Scholar
• Felson, M. (1986/2014). Linking criminal choices, routine activities, informal control, and criminal outcomes. In D. B. Cornish & R. V. Clarke (Eds.), The reasoning criminal: Rational choice perspectives on offending (pp. 119–128). Transaction.
   Google Scholar
• Felson, M. (2006). Crime and nature. Sage.
   Google Scholar
• Felson, M., & Eckert, M. A. (2019). Crime and everyday life (6th ed.). Sage.
   Google Scholar
• Florin, T. A., Shults, J., & Stettler, N. (2011). Perception of overweight is associated with poor academic performance in US adolescents. Journal of School Health, 81(11), 663–670. https://doi.org/10.1111/j.1746-1561.2011.00642.x
   PubMed Web of Science ®Google Scholar
• Goodman, E., Hinden, B. R., & Khandelwal, S. (2000). Accuracy of teen and parental reports of obesity and body mass index. Pediatrics, 106(1 Pt 1), 52–58. https://doi.org/10.1542/peds.106.1.52
   PubMed Web of Science ®Google Scholar
• Graham, S. (2016). Victims of bullying in schools. Theory into Practice, 55(2), 136–144. https://doi.org/10.1080/00405841.2016.1148988
   Web of Science ®Google Scholar
• Hansen, T. B., Steenberg, L. M., Palic, S., & Elklit, A. (2012). A review of psychological factors related to bullying victimization in schools. Aggression and Violent Behavior, 17(4), 383–387. https://doi.org/10.1016/j.avb.2012.03.008
   Web of Science ®Google Scholar
• Harris Interactive & GLSEN. (2005). From teasing to torment: School climate in America, a survey of students and teachers. GLSEN. http://www.glsenboston.org/GLSENFromTeasingToTorment.pdf
   Google Scholar
• Holm, M. E., Korhonen, J., Laine, A., Björn, P. M., & Hannula, M. S. (2020). Big-fish-little- pond effect on achievement emotions in relation to mathematics performance and gender. International Journal of Educational Research, 104, 101692–101612. https://doi.org/10.1016/j.ijer.2020.101692
   Web of Science ®Google Scholar
• Hsieh, T., Simpkins, S. D., & Eccles, J. S. (2021). Gender by racial/ethnic intersectionality in the patterns of adolescents’ math motivation and their math achievement and engagement. Contemporary Educational Psychology, 66, 101974–101914. https://doi.org/10.1016/j.cedpsych.2021.101974
   Web of Science ®Google Scholar
• Hysing, M., Harvey, A. G., Linton, S. J., Askeland, K. G., & Sivertsen, B. (2016). Sleep and academic performance in later adolescence: Results from a large population-based study. Journal of Sleep Research, 25(3), 318–324. https://doi.org/10.1111/jsr.12373
   PubMed Web of Science ®Google Scholar
• Irwin, V., Wang, K., Cui, J., Zhang, J., & Thompson, A. (2021). Report on indicators of school crime and safety: 2020 (NCES 2021-092/NCJ 300772). National Center for Education Statistics, U.S. Department of Justice. https://nces.ed.gov/pubsearch/pubsinfo.asp?pubid=2021092
   Google Scholar
• Juvonen, J., & Graham, S. (2014). Bullying in schools: The power of bullies and the plight of victims. Annual Review of Psychology, 65(1), 159–185. https://doi.org/10.1146/annurev-psych-010213-115030
   PubMed Web of Science ®Google Scholar
• Juvonen, J., Wang, Y., & Espinoza, G. (2013). Physical aggression, spreading of rumors, and social prominence in early adolescence: Reciprocal effects supporting gender similarities? Journal of Youth and Adolescence, 42(12), 1801–1810. https://doi.org/10.1007/s10964-012-9894-0
   PubMed Web of Science ®Google Scholar
• Kawabata, M., Lee, K., Choo, H.-C., & Burns, S. F. (2021). Breakfast and exercise improve academic and cognitive performance in adolescents. Nutrients, 13(4), 1278. https://doi.org/10.3390/nu13041278
   PubMed Web of Science ®Google Scholar
• Kessler, R. C., Foster, C. L., Saunders, W. B., & Stang, P. E. (1995). Social consequences of psychiatric disorders, I: Educational attainment. The American Journal of Psychiatry, 152(7), 1026–1032.
   PubMed Web of Science ®Google Scholar
• Kim, Y. K., Sanders, J. E., Makubuya, T., & Yu, M. (2020). Risk factors of academic performance: Experiences of school violence, school safety concerns, and depression by gender. Child & Youth Care Forum, 49(5), 725–742. https://doi.org/10.1007/s10566-020-09552-7
   Web of Science ®Google Scholar
• Lepore, S. J., & Kliewer, W. (2013). Violence exposure, sleep disturbance, and poor academic performance in middle school. Journal of Abnormal Child Psychology, 41(8), 1179–1189. https://doi.org/10.1007/s10802-013-9709-0
   PubMed Web of Science ®Google Scholar
• Lewinsohn, P. M., Roberts, R. E., Seeley, J. R., Rohde, P., Gotlib, I. H., & Hops, H. (1994). Adolescent psychopathology: II. Psychosocial risk factor for depression. Journal of Abnormal Psychology, 103(2), 302–315. https://doi.org/10.1037//0021-843x.103.2.302
   PubMed Web of Science ®Google Scholar
• Long, J. S., & Freese, J. (2014). Regression models for categorical dependent variables using Stata (3rd ed.). Stata.
   Google Scholar
• Lowry, R., Eaton, D. K., Foti, K., McKnight-Eily, L., Perry, G., & Galuska, D. A. (2012). Association of sleep duration with obesity among US high school students. Journal of Obesity, 2012, 1–9. https://doi.org/10.1155/2012/476914
   Google Scholar
• Masten, A. S., Roisman, G. I., Long, J. D., Burt, K. B., Obradović, J., Riley, J. R., Boelcke, Stennes, K., & Tellegen, A. (2005). Developmental cascades: Linking academic achievement and externalizing and internalizing symptoms over 20 years. Developmental Psychology, 1(5), 733–746.
   Google Scholar
• McCreary, D. R., & Sadava, S. W. (2001). Gender differences in relationships among perceived attractiveness, life satisfaction, and health in adults as a function of body mass index and perceived weight. Psychology of Men & Masculinity, 2(2), 108–116. https://doi.org/10.1037/1524-9220.2.2.108
   Google Scholar
• McFadden, K. E., Puzio, A., Way, N., & Hughes, D. (2021). Mothers’ gender beliefs matter for adolescents’ academic achievement and engagement: An examination of ethnically diverse U.S. mothers and adolescents. Sex Roles, 84(3–4), 166–182. https://doi.org/10.1007/s11199-020-01157-7
   Web of Science ®Google Scholar
• McKnight-Eily, L. R., Eaton, D. K., Lowry, R., Croft, J. B., Presley-Cantrell, L., & Perry, G. S. (2011). Relationships between hours of sleep and health-risk behaviors in US adolescent students. Preventive Medicine, 53(4–5), 271–273. https://doi.org/10.1016/j.ypmed.2011.06.020
   PubMed Web of Science ®Google Scholar
• Miller, C. T., & Downey, K. T. (1999). A meta-analysis of heavyweight and self-esteem. Personality and Social Psychology Review, 3(1), 68–84. https://doi.org/10.1207/s15327957pspr0301_4
   Google Scholar
• Mize, T. D. (n.d.). Cleanplots: Stata graphics scheme. Retrieved November 12, 2021 from https://www.trentonmize.com/software/cleanplots
   Google Scholar
• Mize, T. D. (2019). Best practices for estimating, interpreting, and presenting nonlinear interaction effects. Sociological Science, 6, 81–117. https://doi.org/10.15195/v6.a4
   Web of Science ®Google Scholar
• Montolio, D., & Taberner, P. A. (2021). Gender differences under test pressure and their impact on academic performance: A quasi-experimental design. Journal of Economic Behavior & Organization, 191, 1065–1090. https://doi.org/10.1016/j.jebo.2021.09.021
   Web of Science ®Google Scholar
• Mustillo, S. A., Lizardo, O. A., & McVeigh, R. M. (2018). Editors’ comment: A few guidelines for quantitative submissions. American Sociological Review, 83(6), 1281–1183. https://doi.org/10.1177/0003122418806282
   Web of Science ®Google Scholar
• Napora, E. (2021). Selected predictors of educational achievements in students. Archives of Psychiatry and Psychotherapy, 2, 61–72.
   Google Scholar
• Olashore, A. A., Akanni, O. O., & Ayliara, O. O. (2020). Psychological distress, drug use, and internet use: The association with poor sleep quality in a sample of secondary school students. Substance Abuse: Research and Treatment, 14, 1–7.
   Web of Science ®Google Scholar
• Olweus, D. (1993). Bullying at school: What we know and what we can do. Blackwell.
   Google Scholar
• Olweus, D., Smith, P. K., Morita, Y., Junger-Tas, J., Olweus, D., Catalano, R., & Slee, P. (1999). Sweden. In The nature of school bullying: A cross-national perspective (pp. 7–27). Routledge.
   Google Scholar
• Olweus, D. (2013). School bullying: Development and some important challenges. Annual Review of Clinical Psychology, 9, 751–780. https://doi.org/10.1146/annurev-clinpsy-050212-185516
   PubMed Web of Science ®Google Scholar
• Osborne, J. W. (2015). Best practices in logistic regression. Sage.
   Google Scholar
• Otsuka, Y., Kaneita, Y., Itani, O., Jike, M., Osaki, Y., Higuchi, S., Kanda, H., Kinjo, A., Kuwabara, Y., & Yoshimoto, H. (2020). The relationship between subjective happiness and sleep problems in Japanese adolescents. Sleep Medicine, 69, 120–126.
   PubMed Web of Science ®Google Scholar
• Paruthi, S., Brooks, L. J., D'Ambrosio, C., Hall, W. A., Kotagal, S., Lloyd, R. M., Malow, B. A., Maski, K., Nichols, C., Quan, S. F., Rosen, C. L., Troester, M. M., & Wise, M. S. (2016). Consensus statement of the American Academy of Sleep Medicine on the recommended amount of sleep for healthy children: Methodology and discussion. Journal of Clinical Sleep Medicine: JCSM, 12(11), 1549–1561. https://doi.org/10.5664/jcsm.6288
   PubMed Web of Science ®Google Scholar
• Pelkonen, M., Marttunen, M., & Aro, H. (2003). Risk for depression: A 6-year follow-up of Finnish adolescents. Journal of Affective Disorders, 77(1), 41–51. https://doi.org/10.1016/s0165-0327(02)00098-8
   PubMed Web of Science ®Google Scholar
• Peña-Jorquera, H., Campos-Núñez, V., Sadarangani, K. P., Ferrari, G., Jorquera-Aguilera, C., & Cristi-Montero, C. (2021). Breakfast: A crucial meal for adolescents’ cognitive performance according to their nutritional status. The Cogni-Action Project. Nutrients, 13(4), 1320. https://doi.org/10.3390/nu13041320
   PubMed Web of Science ®Google Scholar
• Perkins, J. M., Perkins, H. W., & Craig, D. W. (2010). Peer weight norm misperception as a risk factor for being over and underweight among UK secondary school students. European Journal of Clinical Nutrition, 64(9), 965–971. https://doi.org/10.1038/ejcn.2010.106
   PubMed Web of Science ®Google Scholar
• Perkins, J. M., Perkins, H. W., & Craig, D. W. (2015). Misperception of peer weight norms and its association with overweight and underweight status among adolescents. Prevention Science, 16(1), 70–79. https://doi.org/10.1007/s11121-014-0458-2
   PubMed Web of Science ®Google Scholar
• Pitblado, J. (2014). How are average marginal effects and their standard errors computed by margins using the delta method? Stata FAQ. https://www.stata.com/support/faqs/statistics/compute-standard-errors-with-margins/
   Google Scholar
• Puhl, R. M., & Heuer, C. A. (2009). The stigma of obesity: A review and update. Obesity (Silver Spring, Md.), 17(5), 941–964.
   PubMed Web of Science ®Google Scholar
• Puhl, R. M., & Latner, J. D. (2007). Stigma, obesity, and the health of the nation’s children. Psychological Bulletin, 133(4), 557–580. https://doi.org/10.1037/0033-2909.133.4.557
   PubMed Web of Science ®Google Scholar
• Rock, P. (2018). Theoretical perspectives on victimization. In S. Walklate (Ed.), Handbook of victims and victimology (2nd ed., pp. 30–58). Routledge.
   Google Scholar
• Schumann, L., Craig, W., & Rosu, A. (2014). Power differentials in bullying: Individuals in a community context. Journal of Interpersonal Violence, 29(5), 846–865. https://doi.org/10.1177/0886260513505708
   PubMed Web of Science ®Google Scholar
• Shochat, T., Cohen-Zion, M., & Tzischinsky, O. (2014). Functional consequences of inadequate sleep in adolescents: A systematic review. Sleep Medicine Reviews, 18(1), 75–87.
   PubMed Web of Science ®Google Scholar
• Stice, E. (2002). Risk and maintenance factors for eating pathology: A meta-analytic review. Psychological Bulletin, 128(5), 825–848. https://doi.org/10.1037/0033-2909.128.5.825
   PubMed Web of Science ®Google Scholar
• Thompson, J. K., & Stice, E. (2001). Thin-ideal internalization: Mounting evidence for a new risk factor for body-image disturbance and eating pathology. Current Directions in Psychological Science, 10(5), 181–183. https://doi.org/10.1111/1467-8721.00144
   Web of Science ®Google Scholar
• U.S. Department of Education. (2019). Student reports of bullying: Results from the 2017 school crime supplement to the National Crime Victimization Survey (NCES 2019-054), July. Retrieved April 14, 2021 from https://nces.ed.gov/pubs2019/2019054.pdf
   Google Scholar
• Wahlstrom, K. (2002). Changing times: Findings from the first longitudinal study of later high school start times. NASSP Bulletin, 86(633), 3–21.
   Google Scholar
• Wang, J., Iannotti, R. J., & Nansel, T. R. (2009). School bullying among adolescents in the United States: Physical, verbal, relational, and cyber. The Journal of Adolescent Health, 45(4), 368–375.
   PubMed Web of Science ®Google Scholar
• Wang, C., Li, Y., Li, K., & Seo, D.-C. (2018). Body weight and bullying victimization among US adolescents. American Journal of Health Behavior, 42(1), 3–12. https://doi.org/10.5993/AJHB.42.1.1
   PubMed Web of Science ®Google Scholar
• Williams, R. (2012). Using the margins command to estimate and interpret adjusted predictions and marginal effects. The Stata Journal: Promoting Communications on Statistics and Stata, 12(2), 308–331. Accessed July 12, 2021. https://doi.org/10.1177/1536867X1201200209, https://www.stata-journal.com/article.html?article=st0260
   Google Scholar
• Woodward, L. J., & Fergusson, D. M. (2001). Life course outcomes of young people with anxiety disorders in adolescence. Journal of the American Academy of Child & Adolescent Psychiatry, 40(9), 1086–1094. https://doi.org/10.1097/00004583-200109000-00018
   PubMed Web of Science ®Google Scholar
• Zhang, A., Musu-Gillette, L., & Oudekerk, B. A. (2016). Indicators of school crime and safety: 2015 (NCES 2016-079/NCJ 249758). National Center for Education Statistics, U.S. Department of Education, and Bureau of Justice Statistics, Office of Justice Programs, U.S. Department of Justice. https://nces.ed.gov/pubs2016/2016079.pdf
   Google Scholar