Clustering of Health-Related Behaviors among 18-Year-Old Australians

Burke, Valerie; Milligan, R.; Beilin, Lawrence J.; Dunbar, D.; Spencer, M.; Balde, E.; Gracey, M.P.

doi:10.1006/pmed.1997.0198

Cited by 153 publications

(132 citation statements)

References 52 publications

Supporting

Mentioning

100

Contrasting

Unclassified

Order By: Relevance

“…There is ample evidence that adolescence is a period of increased risk behaviour (Burke et al, 1997;van Nieuwenhuijzen et al, 2009). Moreover, research suggests that those engaging in one type of risk behaviour often additionally do so in others, i.e.…”

Section: Introductionmentioning

confidence: 99%

Adolescents’ experience of offline and online risks: Separate and joint propensities

Görzig

2016

Computers in Human Behavior

View full text Add to dashboard Cite

Adolescence is a period of increased risk experience and ever more often these occur online.The current study aims to investigate whether adolescents' online and offline risk experiences are driven by the same general propensity to risks. Data from a representative study of N = 19,406 (50% girls) internet-using 11-16 year olds (M = 13.54, SD = 1.68) youth in Europe were subjected to the current analyses. Three confirmatory factor analyses were applied to measures of offline and online risk experiences (five each). A bi-factor model of a general risk factor and two specific factors of online and offline risks was shown to provide the best theoretical and empirical fit. All risk experiences loaded significantly on the general risk factor while additionally all offline risks loaded significantly on the offline risk factor.However, none of the online risks loaded significantly on the online risk factor. Online risks could not be explained by factors that go beyond a general propensity to experience risks suggesting that new technologies do not bring with them a new type of risk propensity driven by that environment. Interventions should target risk and protective factors that can account for adolescents' experiences across risk types (online and offline).

show abstract

Section: Introductionmentioning

confidence: 99%

Adolescents’ experience of offline and online risks: Separate and joint propensities

Görzig

2016

Computers in Human Behavior

View full text Add to dashboard Cite

show abstract

“…In addition, persons who consume lowenergy breakfast or no breakfast at all have been shown to have higher cholesterol levels, and this applies to both adults and children (14) . Moreover, a few studies have shown that breakfast skipping could be part of a constellation of other health-compromising behaviours that compound the many deleterious effects of obesity on health (15)(16)(17)(18)(19) .…”

mentioning

confidence: 99%

Breakfast skipping and its relation to BMI and health-compromising behaviours among Greek adolescents

Kapantais

Chala

Kaklamanou

et al. 2010

Public Health Nutr.

View full text Add to dashboard Cite

Objective: The increasing prevalence of obesity worldwide is a major health concern. Our study, which is part of the First National Epidemiological Study of Obesity in Greece, aimed to assess (i) breakfast habits and their relationship to BMI in Greek adolescents, as well as (ii) breakfast skipping in relation to other health behaviours. Design: Epidemiological survey throughout Greece. Participants completed a questionnaire concerning breakfast habits and many lifestyle parameters. Setting: The survey was conducted in schools throughout Greece. Subjects: Anthropometric measurements were performed on 6500 boys and 7778 girls, aged 13-19 years, from schools throughout Greece. Results: Among both boys and girls, breakfast consumers had a lower BMI than breakfast skippers. Moreover, breakfast skippers among both boys and girls were found to smoke more than breakfast consumers. The proportion of boys and girls who ate breakfast was found to be greater among those who had never been on a diet than among those who had already experienced dieting. Leisure-time activity was greater in breakfast consumers than breakfast skippers; among boys, 71?8 % of breakfast consumers walked compared with 66?4 % of breakfast skippers, whereas 38?4 % and 35?0 %, respectively, exercised. Among girls, these percentages were 73?1 % v. 68?7 % for walking and 36?7 % v. 31?5 % for exercising. Conclusions: We found that breakfast skipping can be part of a constellation of several unhealthy lifestyle parameters and is related to higher BMI in Greek adolescents.

show abstract

“…Cross-sectional research has linked dieting to smoking. 2,4,5 In a national sample of nearly 17000 girls and boys aged 9 to 14 years, Tomeo et al 4 found that girls who reported dieting daily were almost 2 times more likely than girls who dieted less often to have tried smoking. In the Minnesota study mentioned above, researchers found that dieting frequency was positively associated with the prevalence of weekly and daily tobacco use among girls but not among boys.…”

mentioning

confidence: 99%

Dieting and smoking initiation in early adolescent girls and boys: a prospective study

Austin

Gortmaker²

2001

Am J Public Health

View full text Add to dashboard Cite

OBJECTIVES: This analysis tested the relation between dieting frequency and risk of smoking initiation in a longitudinal sample of adolescents. METHODS: From 1995 to 1997, 1295 middle school girls and boys participated in a nutrition and physical activity intervention study. The prospective association between dieting frequency at baseline and smoking initiation 2 years later was tested. RESULTS: Compared with girls who reported no dieting at baseline, girls who dieted up to once per week had 2 times the adjusted odds of becoming smokers (odds ratio = 2.0; 95% confidence interval = 1.1, 3.5), and girls who dieted more often had 4 times the adjusted odds of becoming smokers (odds ratio = 3.9; 95% confidence interval = 1.5, 10.4). CONCLUSIONS: Dieting among girls may exacerbate risk of initiating smoking, with increasing risk with greater dieting frequency.

show abstract

Clustering of Health-Related Behaviors among 18-Year-Old Australians

Cited by 153 publications

References 52 publications

Adolescents’ experience of offline and online risks: Separate and joint propensities

Adolescents’ experience of offline and online risks: Separate and joint propensities

Breakfast skipping and its relation to BMI and health-compromising behaviours among Greek adolescents

Dieting and smoking initiation in early adolescent girls and boys: a prospective study

Contact Info

Product

Resources

About