Obesity Epidemiology

Table 12.3 Studies of Obesity and HRQOL in Children and AdolescentsAuthors(Year)Dataset, Source,YearsSample Size,Population,SettingAgeRangeStudyDesignObesity MeasureHRQOLMeasureControl forPotentialConfoundersKey FindingsWake et al.(2002) 74 Health of YoungVictorians Study(2000)Friedlander Cleveland(2003) 40 and Health Studyet al. Children’s Sleep2,863children in24 randomlyselectedschoolsin state ofVictoria,Australia371 childrenrandomlyselectedfrom birthrecords of3 Clevelandareahospitalsfor period5 to14 y8 to11 yCrosssectionalCrosssectionalOverweight andobesity(cut-points basedon age- andgender-specificcurves passingthrough adultBMI cut-pointsfor overweightand obesity)“At-risk foroverweight” (BMI= 85th percentile-94th percentile);“overweight” (BMI≥ 95th percentile)Parent-reportversion ofChild HealthQuestionnaire(CHQ-PF50)Parent-reportversion ofChild HealthQuestionnaire(CHQ-PF50)Child age, parentrespondent genderAge, gender,race/ethnicity,comorbidconditionsOverweight associatedwith poor mentalhealth in boys, androle/social limitationsdue to emotional/behavioral problemsand poor self-esteemin girlsObesity associatedwith bodily pain,poor physicalfunctioning, mentalhealth, self-esteem,and general health inboys; and poor selfesteemand generalhealth in girls“At-risk foroverweight”associated with poorphysical functioning“Overweight”associated with poor