Association between body mass index and health outcomes among adolescents: the mediating role of traditional and cyber bullying victimization

Lee, Byung Moo; Jeong, Seokjin; Roh, Myunghoon

doi:10.1186/s12889-018-5390-0

Cited by 30 publications

(23 citation statements)

References 91 publications

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“…31 32 The SUR model was employed because it assumes contemporaneous cross-equation error correlation,29 which is common among the set of linear regression equations used for mediation analyses. Previous epidemiological research has also adopted the SUR model for mediation analyses 33. The SUR model is also well suited for estimating and comparing indirect effects in independent variables with multiple categories (ie, housing affordability in quartiles).…”

Section: Methodsmentioning

confidence: 99%

Housing affordability effects on physical and mental health: household survey in a population with the world’s greatest housing affordability stress

Chung

Gordon

et al. 2019

J Epidemiol Community Health

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BackgroundWe examined the association of housing affordability with physical and mental health in Hong Kong, where there is a lack of related research despite having the worst housing affordability problem in the world, considering potential mediating effect of deprivation.MethodsA stratified random sample of 1978 Hong Kong adults were surveyed. Housing affordability was defined using the residual-income (after housing costs) approach. Health-related quality of life was assessed by the Short-Form Health Survey version 2 (SF-12v2), from which the physical component summary (PCS) and mental component summary (MCS) measures were derived. Multivariable linear regressions were performed to assess associations of housing affordability with PCS and MCS scores, adjusting for sociodemographic, socioeconomic and lifestyle factors. Mediation analyses were also conducted to assess the mediating role of deprivation on the effect of housing affordability on PCS or MCS.ResultsDose–response relationships were observed between housing affordability and mean PCS score (β (95% CI) compared with the highest affordable fourth quartile: −2.53 (−4.05 to −1.01), −2.23 (−3.54 to −0.92), −0.64 (−1.80 to 0.51) for the first, second and third quartiles, respectively) and mean MCS score (β (95% CI): −3.87 (−5.30 to –2.45), −2.35 (−3.59 to −1.11), −1.28 (−2.40 to –0.17) for the first, second and third quartiles, respectively). Deprivation mediated 34.3% of the impact of housing unaffordability on PCS and 15.8% of that on MCS.ConclusionsHousing affordability affects physical and mental health, partially through deprivation, suggesting that housing policies targeting deprived individuals may help reduce health inequality in addition to targeting the housing affordability problem.

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Section: Methodsmentioning

confidence: 99%

Housing affordability effects on physical and mental health: household survey in a population with the world’s greatest housing affordability stress

Chung

Gordon

et al. 2019

J Epidemiol Community Health

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“…However, studies about the role of weight and BMI in cyberbullying are still scarce. According to Lee et al (2018), overweight in childhood and adolescence is linked to several physical health and mental health problems but, also, to the likelihood of becoming a victim of bullying. In their study, authors found that BMI was related to physical and mental health problems and that victimization mediated the relationship between BMI and psychological symptoms in both traditional bulling and cyberbullying.…”

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confidence: 99%

Cyberbullying and Bullying: Impact on Psychological Symptoms and Well-Being

2020

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Related, but with different impacts on psychological symptoms and well-being, bullying and cyberbullying have been the subject of numerous studies. The present study analysed the associations between cyberbullying and bullying, specifically: 1) gender, school grade and age associations with cyberbullying and bullying; 2) the impact of cyberbullying and bullying on psychological, social and contextual symptoms and well-being according to cyberbullying involvement, and 3) a combined bullying context was compared to single bullying contexts and to non-involvement for psychological, social and contextual factors, and well-being, among a cross-sectional and randomly assigned sample based on the 2014 Health Behaviour in School-aged Children Portuguese Study, a World Health Organization collaborative study (HBSC/ WHO). Composed by 6026 adolescents (47.7% male), aged between 10 and 19.92 years old (M = 13.77; SD = 1.68), in the 6th, 8th, and 10th grades, results showed that 10.9% of the participants reported being involved in cyberbullying, as cybervictims, cyberbullies or cyberbully-victims, and 47.9% in bullying. Most of the cybervictims reported being involved as victims and bully-victims in bullying; cyberbullies as bully-victims in bullying, and most of the cyberbully-victims reported having the same role in bullying. Frequently, cybervictims were females and most of the cyberbullies and cyberbully-victims were males. No significant associations were found for age and for Body Mass Index. Comparisons between groups, based on the participants' role in cyberbullying, showed significant differences for substances use, emotional symptoms, school context, fights and friends. Further comparisons (according to participant's role, not involved, or involved in single or combined bullying) evidenced the cumulative effect of combined bullying. In conclusion, given the different characteristics and impact of cyberbullying on cybervictims, cyberbullies and cyberbully-victims, is crucial to consider the interrelations between the groups and focus on a more engaging perspective, based on an ecological intervention model. Results will be discussed from a public policy perspective. Keywords Cyberbullying. Bullying. Psychological symptoms. Well-being. Adolescents Inseparably related, sharing in their definition the pattern of aggressive and intentional behavior repeated over time, in interpersonal relations characterized by an imbalance of

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“…Other studies often use binary measures (presence/absence) of bullying experiences or do not examine several different types of bullying, which may have different impacts (Kenny et al, 2018). The current sample was composed of a larger portion of adolescents with obesity (36.0%) compared to similar studies (Lee et al, 2018; Waasdorp et al, 2018), which enabled stratification by weight status.…”

Section: Discussionmentioning

confidence: 99%

Bullying experiences, body esteem, body dissatisfaction, and the moderating role of weight status among adolescents

Fowler

Kracht

Denstel

et al. 2021

Journal of Adolescence

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Introduction The present study examined the relationships between bullying victimization experiences, body esteem (BE), and body dissatisfaction (BD) by obesity status. Methods Using a cross‐sectional design, adolescents (10‐16y) from the U.S. completed surveys. Weight and height were objectively assessed. Bullying was assessed using the Personal Experiences Checklist, with a total score that included three subscales (cyber, verbal‐relational, and physical). BE was assessed using total score on the BE Scale, and BD was assessed using the Body Image Assessment for Pre‐Adolescents, operationalized as the discrepancy between current and ideal body figure. Linear regression models, controlling for sociodemographics, were used to examine obesity status (with vs. without obesity) and sex as moderators of the relationships between bullying, BE, and BD. Results On average, adolescents (n = 328) were 12.6 ± 1.9 y, 45.4% male, 58.2% White, 35.7% Black, and 36.0% had obesity. Obesity status moderated the relationship between bullying experiences and BE, such that these relationships were only significant (B = −0.38, p<.05) among adolescents with obesity compared to adolescents without obesity. In both groups, greater verbal‐relational bullying experiences were associated with lower BE, while greater physical bullying experiences were related to higher BE only among adolescents with obesity. In adolescent girls without obesity, greater cyberbullying experiences were associated with lower BD. Conclusions The findings suggest different associations between sub‐types of bullying victimization experiences and BE and BD, highlighting the importance of examining these associations separately by obesity status.

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Association between body mass index and health outcomes among adolescents: the mediating role of traditional and cyber bullying victimization

Cited by 30 publications

References 91 publications

Housing affordability effects on physical and mental health: household survey in a population with the world’s greatest housing affordability stress

Housing affordability effects on physical and mental health: household survey in a population with the world’s greatest housing affordability stress

Cyberbullying and Bullying: Impact on Psychological Symptoms and Well-Being

Bullying experiences, body esteem, body dissatisfaction, and the moderating role of weight status among adolescents

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