Physical Activity, Gender, Weight Status, and Wellbeing in 9- to 11-Year-Old Children: A Cross-Sectional Survey

Breslin, Gavin; Gossrau-Breen, Diana; McCay, Naomi; Gilmore, Gillian; MacDonald, Lindsay; Hanna, Donncha

doi:10.1123/jpah.9.3.394

Cited by 64 publications

(62 citation statements)

References 36 publications

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“…Breslin et al (Breslin et al, 2012) found weight to have a negligible influence on wellbeing when physical activity was considered. In the present study, physical activity consistently influenced wellbeing suggesting that this may be a more important variable than body weight to target at both school stages for all adolescents.…”

Section: Discussionmentioning

confidence: 99%

“…This is despite females engaging in less physical activity and having lower cardiorespiratory fitness. Breslin and colleagues (Breslin et al, 2012) investigated gender differences in physical activity and HRQoL in a slightly younger sample (9-11-year olds). Similarly, males reported higher levels of physical activity than females.…”

Section: Discussionmentioning

confidence: 99%

“…Further, with investment in mental health conditions lagging significantly behind that for somatic conditions it is prudent to uncover interventions with the potential for prevention and not just treatment (Trautmann, Rehm, & Wittchen, 2016). Previous research suggests that physical activity is directly associated with HRQoL, with a potential role in both prevention and treatment (Breslin et al, 2012). Lifestyle interventions could, therefore, be used to target improvements in HRQoL (Gillison, Standage, & Skevington, 2008).…”

Section: Introductionmentioning

confidence: 99%

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Gender and school-stage associations with health-related behaviours and health-related quality of life in Spanish children

Knox

Muros

2017

International Journal of Mental Health Promotion

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During adolescence individuals experience a number of cognitive, physical, psychological and emotional changes which can impinge on their health and wellbeing. The aim of this study was to identify associations with five components of health-related quality of life (HRQoL) in children. Data were collected from 456 children attending one of five schools in Granada, Spain in a cross-sectional design. Females reported engaging in less physical activity than males. Females reported lower HRQoL in terms of lower physical wellbeing, family relationships and autonomy and perceived school environment in secondary school. Males only reported lower perceptions of their school environment in secondary school. Physical activity was strongly associated with HRQoL, whereas Mediterranean diet was not. Physical activity interventions should be prioritised when positive HRQoL of children is a main target. Special consideration should be given to support the positive development of females, especially during the early years of secondary school.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Gender and school-stage associations with health-related behaviours and health-related quality of life in Spanish children

Knox

Muros

2017

International Journal of Mental Health Promotion

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“…Based on self-report methods 14% to 41% of children meet the PA benchmark. From the Republic of Ireland 23% of 10-to 17-year-olds 11,12 met the benchmark while in Northern Ireland 41% of 5-to 18-year-olds, 19 24% of 9-to 11-year-olds 21 and 14% of 11-to 16-year-olds. 17 met the benchmark.…”

Section: Overall Physical Activity: Dmentioning

confidence: 99%

Results From Ireland North and South’s 2016 Report Card on Physical Activity for Children and Youth

Harrington¹,

Murphy²,

Carlin

et al. 2016

Journal of Physical Activity and Health

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Background: Physical activity (PA) is a key performance indicator for policy documents in both the Republic of Ireland and Northern Ireland. Building on baseline grades set in 2014, Ireland's second Report Card on Physical Activity for Children and Youth allows for continued surveillance of indicators related to PA in children and youth. Methods: Data and information were extracted and collated for 10 indicators and graded using an international standardized grading system. Results: Overall, 7 grades stayed the same, 2 increased, and 1 decreased. Grades were assigned as follows: Overall PA, D ( Conclusions:Although the grade for Overall PA levels increased to a D, this may reflect the increased quality and quantity of data available. The double burden of low PA and high sedentary levels are concerning and underscore the need for advocacy toward, and surveillance of, progress in achieving targets set by the new National Physical Activity Plan in the Republic and obesity and sport plans in the North.

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“…The amount of weight loss or height gain needed for a specific patient is easily calculable and offers a definable goal to begin noticing positive effects in daily life. Further, positive changes in HRQoL can be associated with subsequent positive health behavior change (e.g., increased physical activity; Breslin, Gossrau-Breen, McCay, Gilmore, MacDonald, & Hanna, 2012), perhaps predicting further decreases in adiposity and improvements in HRQoL.…”

Section: Discussionmentioning

confidence: 99%

Change in health-related quality of life in the context of pediatric obesity interventions: A meta-analytic review.

Steele¹,

Gayes²,

Dalton³

et al. 2016

Health Psychology

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Objective: To quantitatively characterize change in health-related quality of life (HRQoL) in the context of behavioral (n= 16), surgical (n=5), and pharmacological (n=1) interventions for pediatric overweight and obesity. A secondary goal was to examine the relationship between change in HRQoL and change in weight status (ΔBMI) by treatment type. The amount of weight loss necessary to observe a minimally clinically important difference (MCID) in HRQoL was determined. Methods: Data were gathered from studies reporting on weight change and ΔHRQoL over the course of obesity interventions (N = 22) in youths (N=1,332) with average ages between 7.4 and 16.5 years (M = 12.2). An overall effect size was calculated for ΔHRQoL. Moderation analyses were conducted using ANOVA and weighted regression. MCID analyses were conducted by converting HRQoL data to SEM units. Results: The overall effect size for ΔHRQoL in the context of pediatric obesity interventions was medium (g = 0.51). A significant linear relationship was detected between ΔBMI and ΔHRQoL (R 2 = 0.87). This relationship was moderated by treatment type, with medical (i.e., surgical) interventions demonstrating a stronger relationship. Results indicated that it takes a change of 0.998 BMI units to detect true change in HRQoL. Conclusions: This study provides the first known quantitative examination of changes in HRQoL associated with weight loss in pediatric interventions. Medical interventions appear to offer a more substantial increase in HRQoL per unit of BMI change. These results offer a concrete weight loss goal for noticing positive effects in daily life activities.

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Physical Activity, Gender, Weight Status, and Wellbeing in 9- to 11-Year-Old Children: A Cross-Sectional Survey

Cited by 64 publications

References 36 publications

Gender and school-stage associations with health-related behaviours and health-related quality of life in Spanish children

Gender and school-stage associations with health-related behaviours and health-related quality of life in Spanish children

Results From Ireland North and South’s 2016 Report Card on Physical Activity for Children and Youth

Change in health-related quality of life in the context of pediatric obesity interventions: A meta-analytic review.

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