Associations between social media use, fitness- and weight-related online content, and use of legal appearance- and performance-enhancing drugs and substances
Tài liệu tham khảo
Ata, 2015, Sociocultural theories of eating disorders, 269
Benjamini, 1995, Controlling the false discovery rate: A practical and powerful approach to multiple testing, Journal of the Royal Statistical Society, 57, 289
Boepple, 2016, A content analytic comparison of fitspiration and thinspiration websites, International Journal of Eating Disorders, 49, 98, 10.1002/eat.22403
Chassiakos, 2016, Children and adolescents and digital media, Pediatrics, 138
Cohen, 2017, The relationship between Facebook and Instagram appearance-focused activities and body image concerns in young women, Body Image, 23, 183, 10.1016/j.bodyim.2017.10.002
Derenne, 2018, Body image, media, and eating Disorders—a 10-year update, Academic Psychiatry, 42, 129, 10.1007/s40596-017-0832-z
Donovan, 2020, Strong is the new skinny, but is it Ideal?: A test of the tripartite influence model using a new measure of fit-ideal internalisation, Body Image, 35, 171, 10.1016/j.bodyim.2020.09.002
Eisenberg, 2012, Muscle-enhancing behaviors among adolescent girls and boys, Pediatrics, 130, 1019, 10.1542/peds.2012-0095
Fardouly, 2016, Social media and body image concerns: Current research and future directions, Current Opinion in Psychology, 9, 1, 10.1016/j.copsyc.2015.09.005
Ganson
Ganson, 2022, Intermittent fasting: Describing engagement and associations with eating disorder behaviors and psychopathology among Canadian adolescents and young adults, Eating Behaviors, 101681
Ganson, 2022, Characterizing cheat meals among a national sample of Canadian adolescents and young adults, Journal of Eating Disorders, 1–13
Ganson, 2022, “Bulking and cutting” among a national sample of Canadian adolescents and young adults, Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity, 10.1007/s40519-022-01470-y
Ganson, 2022, Anabolic-androgenic steroid use: Patterns of use among a national sample of Canadian adolescents and young adults, Performance Enhancement & Health, 100241
Ganson, 2021, Performance-enhancing substance use and sexual risk behaviors among U.S. Men: Results from a prospective cohort study. The, Journal of Sex Research, 00, 1
Ganson, 2020, Legal performance-enhancing substances and substance use problems among young adults, Pediatrics, 146, 10.1542/peds.2020-0409
Ganson, 2020, A call for public policy and research to reduce use of appearance and performance enhancing drugs and substances among adolescents, The Lancet Child & Adolescent Health, 4, 13, 10.1016/S2352-4642(19)30345-1
Ganson, 2021, Associations between eating disorders and illicit drug use among college students, International Journal of Eating Disorders, 54, 1127, 10.1002/eat.23493
Ganson, 2022, Prevalence and correlates of appearance- and performance-enhancing drugs and substances use among a national sample of college students aged 18–30, Journal of American College Health, 1, 10.1080/07448481.2022.2076104
Ganson, 2022, Problematic muscularity-oriented behaviors: Overview, key gaps, and ideas for future research, Body Image, 41, 262, 10.1016/j.bodyim.2022.03.005
Ganson, 2021, Performance-enhancing substance use and criminal offending : A 15-year prospective cohort study, Drug and Alcohol Dependence, 226
Hallward, 2022, Examination of eating disorder psychopathology across sexual and gender identities among a Canadian sample, International Journal of Eating Disorders
Jerónimo, 2022, Effects of fitspiration content on body image: A systematic review, Eating and Weight Disorders, 27, 3017, 10.1007/s40519-022-01505-4
Kucharczuk, 2022, Social media’s influence on adolescents′ food choices: A mixed studies systematic literature review, Appetite, 168
Lissak, 2018, Adverse physiological and psychological effects of screen time on children and adolescents: Literature review and case study, Environmental Research, 164, 149, 10.1016/j.envres.2018.01.015
Mayoh, 2021, Young People’s experiences of engaging with fitspiration on instagram: Gendered perspective, Journal of Medical Internet Research, 23, 10.2196/17811
Mc Carthy, 2022, The influence of unhealthy food and beverage marketing through social media and advergaming on diet-related outcomes in children—A systematic review, Obesity Reviews, 23, 1, 10.1111/obr.13441
Nagata, 2021, Screen time use among US adolescents during the COVID-19 pandemic: Findings from the adolescent brain cognitive development (ABCD) study. JAMA, Pediatrics, in press(May 2020), 2020
Nagata, 2020, Association between legal performance-enhancing substances and use of anabolic-androgenic steroids in young adults, JAMA Pediatrics, E1
Nagata, 2020, Prevalence and correlates of muscle-enhancing behaviors among adolescents and young adults in the United States, International Journal of Adolescent Medicine and Health
Nagata, 2021, Sociodemographic correlates of contemporary screen time use among 9–10-year-old children, The Journal of Pediatrics, 1–10
Nagata, 2022, Muscle-building behaviors from adolescence to emerging adulthood: A prospective cohort study, Preventive Medicine Reports, 27
Nagata, 2021, Digital technology use and muscle-building behaviors in young adults, International Journal of Eating Disorders, 207
Nagata, 2021, Contemporary screen time usage among children 9–10-years-old is associated with higher body mass index percentile at 1-year follow-up: A prospective cohort study. Pediatric, Obesity, June, 13
Nagata, 2021, Contemporary screen time modalities among children 9–10 years old and binge-eating disorder at one-year follow-up: A prospective cohort study, International Journal of Eating Disorders, January, 1
Or, 2019, Taking stock of dietary supplements’ harmful effects on children, adolescents, and young adults, Journal of Adolescent Health, 1–7
Orben, 2019, Screens, teens, and psychological well-being: Evidence from three time-use-diary studies, Psychological Science, 30, 682, 10.1177/0956797619830329
Padín, 2021, Social media and eating disorder psychopathology: A systematic review, Cyberpsychology, 15, 10.5817/CP2021-3-6
Parent, 2013, Handling item-level missing data: Simpler is just as good, The Counseling Psychologist, 41, 568, 10.1177/0011000012445176
Potvin, 2022
Przybylski, 2020, How much is too Much? Examining the relationship between digital screen engagement and psychosocial functioning in a confirmatory cohort study, Journal of the American Academy of Child and Adolescent Psychiatry, 59, 1080, 10.1016/j.jaac.2019.06.017
Qutteina, 2019, Media food marketing and eating outcomes among pre-adolescents and adolescents: A systematic review and meta-analysis, Obesity Reviews, 20, 1708, 10.1111/obr.12929
Roberts, 2022, Incorporating social media and muscular ideal internalization into the tripartite influence model of body image: Towards a modern understanding of adolescent girls’ body dissatisfaction, Body Image, 41, 239, 10.1016/j.bodyim.2022.03.002
Rodgers, 2020, A biopsychosocial model of social media use and body image concerns, disordered eating, and muscle-building behaviors among adolescent girls and boys, Journal of Youth and Adolescence, 49, 399, 10.1007/s10964-019-01190-0
Sacks, 2020, The advertising policies of major social media platforms overlook the imperative to restrict the exposure of children and adolescents to the promotion of unhealthy foods and beverages, International Journal of Environmental Research and Public Health, 17, 4172, 10.3390/ijerph17114172
Santelli, 2003, Guidelines for adolescent Health Research: A position paper of the Society for Adolescent Medicine, Journal of Adolescent Health, 33, 396
Sewall, 2021, Objectively measured digital technology use during the COVID-19 pandemic: Impact on depression, anxiety, and suicidal ideation among young adults, Journal of Affective Disorders, 288, 145, 10.1016/j.jad.2021.04.008
StataCorp
Tiggemann, 2018, ‘Strong is the new skinny’: A content analysis of #fitspiration images on instagram, Journal of Health Psychology, 23, 1003, 10.1177/1359105316639436
Tylka, 2011, Refinement of the tripartite influence model for men: Dual body image pathways to body change behaviors, Body Image, 8, 199, 10.1016/j.bodyim.2011.04.008
Tylka, 2021, Models of body image for boys and men, 7
Tylka, 2012, Support for an expanded tripartite influence model with gay men, Body Image, 9, 57, 10.1016/j.bodyim.2011.09.006
Van Den Berg, 2002, The tripartite influence model of body image and eating disturbance a covariance structure modeling investigation testing the mediational role of appearance comparison, Journal of Psychosomatic Research, 53, 1007, 10.1016/S0022-3999(02)00499-3
Vannucci, 2020, Social media use and risky behaviors in adolescents: A meta-analysis, Journal of Adolescence, 79, 258, 10.1016/j.adolescence.2020.01.014
Vogels
Wu, 2022, “Eat clean, train mean, get lean”: Body image and health behaviours of women who engage with fitspiration and clean eating imagery on instagram, Body Image, 42, 25, 10.1016/j.bodyim.2022.05.003
Xu, 2022, Threats to online surveys: Recognizing, detecting, and preventing survey bots, Social Work Research, 1–8
Zou, 2004, A modified poisson regression approach to prospective studies with binary data, American Journal of Epidemiology, 159, 702, 10.1093/aje/kwh090