Gender Differences in Physiologic Markers and Health Behaviors Associated With Childhood Obesity

Govinden, Morgen; Gurm, Roopa; Follis, Rose; Corriveau, Nicole; Kline–Rogers, Eva; Aaronson, Susan; DuRussel-Weston, Jean; Goldberg, Caren S.; Eagle, Kim A.; Jackson, Elizabeth A.

doi:10.1016/s0735-1097(12)61911-1

Cited by 12 publications

(21 citation statements)

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“…Fifty-one studies were from the United States (33,34,36,39,43,45,46,49,53,60,61,64,66,67,69,76,88,106,110,112,114,117,122,132,134,136,137,139,140,147,150,151,154,156,158,162,164,170,(172)(173)(174)(175)(181)(182)(183)185,186,189,190,196,210), 13 from Germany (58,…”

Section: Description Of Studiesmentioning

confidence: 99%

“…Low physical activity. Low activity level defined as lack of daily exercise (38,123,143,193), irregular vigorous physical activity (69), low activity during break times at school (115) or on weekdays (48) and weekends (48), limited outdoors playtime (35,202), and irregular or non-participation in organized sports (47,58,69,95,178) was consistently associated with childhood obesity.…”

Section: Physical Activitymentioning

confidence: 99%

“…Children with a sedentary lifestyle were at increased risk for obesity (70). This included increased number of weekday study hours (63), access to electronic entertainment and communication devices (55,63,65), having any screen time (39,48,68,100,101,116,122,193,206), television watching (35,40,48,50,51,54,61,62,68,69,82,92,100,102,104,122,124,143,145,168,173,178,195), and computer use and video gaming (48,61,69,178).…”

Section: Physical Activitymentioning

confidence: 99%

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A scoping review of epidemiologic risk factors for pediatric obesity: Implications for future childhood obesity and dental caries prevention research

Donald

Luu

Chu

2017

J Public Health Dent

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Research Questions: What are the non-modifiable (socioeconomic, genetic) and modifiable factors (physical activity, dietary behaviors) related to childhood (under age 12) obesity? How can this knowledge be applied to oral health professionals' efforts to prevent or manage dental caries in children? Objectives: Studies have identified risk factors for childhood obesity. The purpose of this scoping review was to develop a conceptual model to identify nonmodifiable and modifiable risk factors for childhood obesity and to illustrate how these findings are relevant in developing interventions aimed at preventing obesity and dental caries in children. Methods: The authors searched PubMed and Embase and limited the study to English-language publications. A total of 2,572 studies were identified. After deduplication, 2,479 studies remained and were downloaded into a citationmanagement tool. Two authors screened the titles and abstracts for relevance. Two hundred and sixty studies remained and were retrieved for a full-text review, and 80 studies were excluded, resulting in 180 studies included in the scoping review. An inductive content analytic methods was used to organize all statistically significant obesity risk factors into seven domains, which were classified as nonmodifiable or modifiable; then a conceptual model of common risk factors associated with childhood obesity and dental caries was developed. Results: Non-modifiable obesity risk factors include biological and developmental (e.g., genes, developmental conditions, puberty), sociodemographic and household (e.g., race/ethnicity, socioeconomic status, parent education, unemployment), cultural (e.g., degree of acculturation), and community (e.g., neighborhood composition). Modifiable risk factors included behavioral (e.g., diet, physical activity, weight), psychosocial (e.g., maternal stress, family functioning, parenting practices, child temperament), and medical (e.g., parent smoking, maternal health, child health). Conclusions: Identifying common risk factors has important implications for future oral health research aimed at preventing childhood obesity and dental caries. Epidemiologic knowledge gleaned from the literature can be used to develop rigorous interventions and programs aimed at preventing these highly prevalent diseases and improving health outcomes for children.

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Section: Description Of Studiesmentioning

confidence: 99%

Section: Physical Activitymentioning

confidence: 99%

Section: Physical Activitymentioning

confidence: 99%

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A scoping review of epidemiologic risk factors for pediatric obesity: Implications for future childhood obesity and dental caries prevention research

Donald

Luu

Chu

2017

J Public Health Dent

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“…Physical activity was found to be protective against obesity in male but not female youth in the United States. 33 Physical activity is not the sole behaviour that contributes to differences in overweight/ obesity. Research shows that unhealthy CDRB collectively contribute to higher BMI in youth.…”

Section: Discussionmentioning

confidence: 99%

Gender differences in the longitudinal association between multilevel latent classes of chronic disease risk behaviours and body mass index in adolescents

Hammami

Chaurasia

Bigelow

et al. 2020

Health Promot Chronic Dis Prev Can

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Introduction Few studies have assessed the relationship between chronic disease risk behaviours and body mass index (BMI) in a longitudinal, sex/gender-specific context. This study used gender-specific analyses to assess the extent to which chronic disease risk behaviour latent classes are associated with BMI and weight status at follow-up. Methods Longitudinal data from 4510 students in Grades 9 to 12, tracked from 2013– 2015, who participated in the COMPASS study were used to assess gender differences in the lagged association between previously determined latent classes (of physical activity and substance use) with BMI using multilevel mixed-effects models. Our multilevel regression models assessed the association between two latent classes, active experimenters and inactive non-using youth, with BMI when stratified by gender. Results Male inactive non-substance-using youth were associated with a 0.29 higher continuous BMI (95% CI: 0.057, 0.53) and odds of overweight/obesity increased by 72% (OR = 1.72, 95% CI: 1.2, 2.4) for binary BMI at follow-up relative to active youth who experiment with substance use. No significant associations were detected in females. Conclusion Over time, physical activity has a protective role on BMI in male youth. Both substance use and physical inactivity should be addressed in obesity prevention efforts. Gender stratification in analyses is also important since females and males have different contributing factors to increases in BMI.

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“…Obesity in both boys and girls was associated with 2 independent behaviors: regularly eating school lunches (boys OR 1.29; 95% CI, 1.01-1.64; P ¼ .04) (girls OR 1.27; 95% CI, 1.00-1.62; P ¼ .05), and watching !2 hours of television per day (boys OR 1.19; 95% CI, 1.07-1.32; P < .01) (girls OR 1.19; 95% CI, 1.06-1.34; P < .01). 29 Compared with non-obese boys, obese boys were more likely to have higher total cholesterol, LDL cholesterol, and triglycerides, as well as lower HDL cholesterol. Compared with nonobese girls, obese girls showed lower HDL cholesterol, as well as higher triglycerides and random glucose.…”

Section: Lesson 9: Gender Differences Exist In Overweight/obesity Phymentioning

confidence: 95%

Top 10 Lessons Learned from Project Healthy Schools

Rogers¹,

Krallman²,

Jackson

et al. 2017

The American Journal of Medicine

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Childhood obesity is increasing in the United States; obese children are more likely to become obese adults with obesity-associated health issues. Effective programs designed to reduce the prevalence of childhood overweight and obesity are needed. We sought to review one such program, Project Healthy Schools (PHS), for key findings. Project Healthy Schools is a health curriculum that includes educational lessons, school environment changes, and health measurement. Data have shown improvement in numerous metrics after the program, including positive changes in physiologic measures and healthier lifestyle behaviors. The school's socioeconomic status has been shown to correlate with baseline and follow-up measures, and gender differences exist. Additionally, school environmental changes support improved health behaviors. The collaborative effort and support of various stakeholders have led to the success of this health education program, resulting in numerous physiologic and behavioral benefits in middle school students throughout Michigan, and providing a replicable, real-world approach to combating childhood obesity.

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Gender Differences in Physiologic Markers and Health Behaviors Associated With Childhood Obesity

Cited by 12 publications

References 0 publications

A scoping review of epidemiologic risk factors for pediatric obesity: Implications for future childhood obesity and dental caries prevention research

A scoping review of epidemiologic risk factors for pediatric obesity: Implications for future childhood obesity and dental caries prevention research

Gender differences in the longitudinal association between multilevel latent classes of chronic disease risk behaviours and body mass index in adolescents

Top 10 Lessons Learned from Project Healthy Schools

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