The influence of diet quality and dietary behavior on health-related quality of life in the general population of children and adolescents: a systematic review and meta-analysis

Wu, Xiuyun; Zhuang, Li Hui; Li, Wei; Guo, Hong; Zhang, Jian Hua; Zhao, Yan Kui; Hu, Jin Wei; Gao, Qian; Luo, Sheng; Öhinmaa, Arto; Veugelers, Paul J.

doi:10.1007/s11136-019-02162-4

Cited by 132 publications

(124 citation statements)

References 82 publications

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“…A lthough the prevalence of childhood obesity in the United States is somewhat leveling off, 1 childhood obesity remains a major public health challenge, associated with numerous adverse health risks, economic costs, and poor educational outcomes. [2][3][4][5] Behavioral factors that impact children's weight include fruit and vegetable (F&V) consumption, [6][7][8][9] sugar sweetened beverage consumption, 10,11 low levels of physical activity (PA), [12][13][14] and sedentary behavior. 15,16 In Texas, low-income Hispanic and African American children have higher rates of obesity compared to non-Hispanic white children, 17 with some evidence that children living in low-income Hispanic or African American households also tend to engage in behaviors more conducive to increased weights.…”

Section: Introductionmentioning

confidence: 99%

Impact of a Gardening and Physical Activity Intervention in Title 1 Schools: The TGEG Study

Berg

Warren²,

McIntosh

et al. 2020

Childhood Obesity

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Background: The purpose of the Texas!Grow!Eat!Go! (TGEG) study was to assess individual and combined effects of schoolbased gardening and physical activity (PA) interventions on children's eating and PA behaviors and obesity status. Methods: Using a 2 • 2 design, 28 low-income schools in Texas were randomized to 1 of 4 conditions: (1) School Garden intervention (Learn!Grow!Eat!Go! [LGEG]), (2) PA intervention (Walk Across Texas [WAT!]), (3) both Garden and PA intervention (Combined), or (4) neither Garden nor PA intervention (Control). Participants included 1326 third grade students and parents (42% Hispanic; 78% free/reduced lunch). Student and parent data were collected at the beginning and end of the school year. Two different sets of analyses measuring pre-post changes in outcomes within and across conditions were estimated by factorial ANOVAs using mixed models adjusted for demographics. Results: Main effect analyses indicate that relative to children at schools that did not receive LGEG, children at schools that received LGEG, either individually or in combination with WAT!, showed significant increases in Nutrition knowledge, Vegetable preference, and Vegetable tasted (p < 0.001 in all cases). Within-group analyses show that compared to Comparison, children in the WAT! group significantly increased in the amount of time parents and children were active together (p = 0.038). In addition, children in LGEG and WAT! schools significantly decreased BMI percentile (p = 0.042, p = 0.039, respectively), relative to children in Comparison schools. Conclusions: Both the garden and PA interventions independently produced significant changes related to healthy lifestyle behaviors. However, combining the two interventions did not show greater impact than the single interventions, underscoring the need for more research to determine how to better implement comprehensive interventions at schools.

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Section: Introductionmentioning

confidence: 99%

Impact of a Gardening and Physical Activity Intervention in Title 1 Schools: The TGEG Study

Berg

Warren²,

McIntosh

et al. 2020

Childhood Obesity

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“…In addition, unhealthy diets, inadequate amounts of physical activity and increased sedentary behaviour in children contribute to the development of obesity and other cardiovascular risk factors [ 6 ]. Investigations into unhealthy lifestyle behaviours have shown that they contribute to poorer health related quality of life and have a prolonged negative influence on psychological health [ 2 , 7 , 8 , 9 ]. Increased electronic screen time is an issue of growing concern across all developed countries [ 10 , 11 ], due to evidence of its contribution to increased sedentary behaviour and a host of other undesirable outcomes, including poorer quality of life and behavioural and psychological difficulties [ 12 , 13 , 14 , 15 ].…”

Section: Introductionmentioning

confidence: 99%

Healthy Lifestyle Behaviours Are Associated with Children’s Psychological Health: A Cross-Sectional Study

Thomas

Gugusheff

Baldwin

et al. 2020

IJERPH

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Protecting children’s mental health is important and studies have shown that diet and exercise can have a positive impact. There are limited data available, however, from representative populations of children on the relationship between regular healthy lifestyle behaviours and psychological health. Data were obtained from the New South Wales Child Population Health Survey, 2013–2014. Parents were asked about diet, physical activity and screen time behaviours and completed the Strengths and Difficulties Questionnaire (SDQ) for one child aged 5–15. Higher SDQ scores indicate poorer psychological health and risk for mental health problems. Multivariable linear and logistic regression examined the relationships among dietary consumption, physical activity, screen time and SDQ scores, adjusting for potential confounding. Meeting screen time recommendations was most strongly associated with a lower SDQ total difficulties score (5–10 years: −1.56 (−2.68, −0.44); 11–15 years: −2.12 (−3.11, −1.12)). Children and adolescents who met screen time recommendations were also significantly less likely to have any score in the at-risk range. Children and adolescents meeting vegetable intake guidelines had significantly lower total difficulties scores (5–10 years: −1.54 (−3.03, −0.05); 11–15 years: −1.19 (−3.60, −0.39)), as did adolescents meeting discretionary food guidelines (−1.16 (−2.14, −0.18)) and children consuming the recommended fruit intake (−1.26 (−2.42, −0.10)). Our findings indicate that more effective interventions to increase the proportion of young Australians who meet the guidelines for diet and screen time would contribute to protecting their mental health.

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“…Previous studies revealed the QoL domain score of physical health [13], social relation [14], but not in mental health and perceived stress domains, were correlated with MS. Moreover, the impact factors of QoL were age, obesity, puberty development stage, SES, physical activity [15,16] and unhealthy dietary behaviour [17], which were also correlated with MS. In addition, the community obesity intervention study [18] elucidated the control of obesity was associated with the QoL improvement.…”

Section: Introductionmentioning

confidence: 98%

The Association of Quality of Life and Personality Characteristics with Adolescent Metabolic Syndrome: A Cohort Study

Liang

Zhang

Luo

et al. 2020

Preprint

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Background: Increased prevalence of adolescent metabolic syndrome (MS) is a tracking factor for adulthood cardiovascular diseases. This study aimed to explore the potential relationship of quality of life (QoL) and personality traits with adolescent MS. Methods：1961 participants aged 11.68 years from a cohort study established in 2014 and followed in 2019 was included in Chongqing. Quality of life (QoL) and Eysenck’s personality questionnaire and MS components were collected.Results：The prevalence of adolescent MS is 4.69% (95% confidence interval, 3.84%-5.72%). Higher QoL domain score of physical activity ability (PAA) was a protective factor for both MS and MS score (all P<0.01), which was mainly negatively correlated with central obesity, diastolic blood pressure (DBP) and triglycerides levels, and positively correlated with high density lipoprotein cholesterol (HDL-C) level. Total score of QoL was negatively correlated with triglycerides level and positively correlated with DBP (all P<0.01). High extraversion personality score was a protective factor of adolescent MS (P=0.04) and MS score (P=0.06), which was mainly negatively correlated WC systolic blood pressure and TGs, and positively correlated with HDL-C (all P≤0.01).Conclusions：QoL score and extraversion personality score were independent protective factors for both MS prevalence and MS score, suggesting the community intervention to improve the QoL and psychological health of children is essential.

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The influence of diet quality and dietary behavior on health-related quality of life in the general population of children and adolescents: a systematic review and meta-analysis

Cited by 132 publications

References 82 publications

Impact of a Gardening and Physical Activity Intervention in Title 1 Schools: The TGEG Study

Impact of a Gardening and Physical Activity Intervention in Title 1 Schools: The TGEG Study

Healthy Lifestyle Behaviours Are Associated with Children’s Psychological Health: A Cross-Sectional Study

The Association of Quality of Life and Personality Characteristics with Adolescent Metabolic Syndrome: A Cohort Study

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