Abstract:weight perception and weight control behaviour among girls only were related to the accuracy of self-reported BMI; no association was found with self-weighing behaviour and the perceived importance of weight for how adolescents perceive themselves. Knowledge of such factors will allow for a better interpretation and possibly adjustment/correction of results of surveys based on self-reported weight and height data.
“…After removal of duplicates, 1751 were left for screening of titles and abstracts, from which ninety-five articles were retrieved for full-text screening. Finally, thirty-seven studies were found to have met all the selection criteria ( 18 , 24 – 41 , 43 – 49 , 59 – 69 ) .Fig. 1Flowchart showing selection of studies for inclusion in the current meta-analysis (BMI sr , BMI derived from self-reported height and weight; BMI m , BMI derived from measured height and weight)…”
Section: Resultsmentioning
confidence: 99%
“…After removal of duplicates, 1751 were left for screening of titles and abstracts, from which ninety-five articles were retrieved for full-text screening. Finally, thirty-seven studies were found to have met all the selection criteria (18,(24)(25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35)(36)(37)(38)(39)(40)(41)(43)(44)(45)(46)(47)(48)(49)(59)(60)(61)(62)(63)(64)(65)(66)(67)(68)(69) .…”
BMIsr may produce less biased results under some conditions than others. Future researchers using BMIsr may consider these findings and avoid the conditions that could lead to more severe underestimation of the prevalence of overweight and obesity among children and adolescents.
“…After removal of duplicates, 1751 were left for screening of titles and abstracts, from which ninety-five articles were retrieved for full-text screening. Finally, thirty-seven studies were found to have met all the selection criteria ( 18 , 24 – 41 , 43 – 49 , 59 – 69 ) .Fig. 1Flowchart showing selection of studies for inclusion in the current meta-analysis (BMI sr , BMI derived from self-reported height and weight; BMI m , BMI derived from measured height and weight)…”
Section: Resultsmentioning
confidence: 99%
“…After removal of duplicates, 1751 were left for screening of titles and abstracts, from which ninety-five articles were retrieved for full-text screening. Finally, thirty-seven studies were found to have met all the selection criteria (18,(24)(25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35)(36)(37)(38)(39)(40)(41)(43)(44)(45)(46)(47)(48)(49)(59)(60)(61)(62)(63)(64)(65)(66)(67)(68)(69) .…”
BMIsr may produce less biased results under some conditions than others. Future researchers using BMIsr may consider these findings and avoid the conditions that could lead to more severe underestimation of the prevalence of overweight and obesity among children and adolescents.
“…Objective measurements of body weight parameters were conducted in 21 of the 28 included studies, which was a strength of these studies, as self‐report measures of adiposity are known to underestimate weight and lead to significant misclassifications of OW and OB . However, no evidence of validity or reliability was provided for the measures of mediators in most of the included studies.…”
The review found several modifiable factors that could be targeted as feasible in interventions aimed at reducing socioeconomic differences in overweight and obesity among youth.
“…In addition, an alarmingly low percentage of the sample met the recommended level of physical activity and the dietary recommendations (and the percentage was lower than reported in other national and international studies of adolescents). 3,11,50 Together with the lower cardiorespiratory fitness and higher BMI than found in previous studies, 33,51 this indicates a general poor physical health profile in the sample. Reported sleep was more in accordance with findings from other studies of the same age group, 52 as were the mean READ total and subscale scores.…”
To examine whether lifestyle-related factors and resilience predict health-related quality of life (HRQoL) in a sample of early adolescents. Methods: A total of 611 eighth grade pupils (response rate: 79%) participated in this crosssectional study. The variables measured were physical activity (accelerometer), cardiorespiratory fitness (Andersen test) and a questionnaire assessing dietary habits, sleep disturbance, resilience (Resilience Scale for Adolescents) and HRQoL (KIDSCREEN-27). Results: A total of 36% of the sample met the official recommendations of 60 minutes of daily physical activity. Univariate analysis identified physical activity, dietary habits, sleep disturbances, body mass index (BMI), cardiorespiratory fitness and resilience, but not sedentary time, as predictors of HRQoL. Multivariate regression analysis identified resilience as a positive predictor (b 0.18 to 0.27) of all HRQoL domains and sleep disturbance as a negative predictor (b À0.65 to À0.24) of four HRQoL domains. BMI (b ¼ À0.27) and cardiorespiratory fitness (b ¼ 0.021) were predictors of the HRQoL domain physical well-being. Adherence to dietary recommendations was both a positive and a negative predictor of HRQoL (b À0.45 to 0.59). Conclusion: Resilience and sleep disturbances were the main predictors of HRQoL.
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