Exploring the association between mental wellbeing, health-related quality of life, family affluence and food choice in adolescents

Davison, Jenny; Stewart-Knox, Barbara J.; Connolly, Paul; Dunne, Laura; Bunting, Brendan

doi:10.1016/j.appet.2020.105020

Cited by 27 publications

(33 citation statements)

References 95 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Subsequent analyses, therefore, sought to explain apparent changes in wellbeing between time points. Given wellbeing is likely to be multi-factorially determined (Davison et al, 2015a(Davison et al, , b, 2021, potential explanatory variables analysed related to lifestyle (physical activity, fruit and vegetable intake, social media use, sleep duration, religion), socio-economic circumstances (family affluence), and school size and type.…”

Section: Discussionmentioning

confidence: 99%

“…There is some evidence that adolescent girls experience lower wellbeing than boys (Gonzalez-Carrasco et al, 2017a;Rees & Dinisman, 2014;Klocke et al, 2014;Gaspar et al, 2012;UNICEF Spain, 2012) and that this decrease in wellbeing over time is more pronounced in girls than boys (Meade & Dowswell, 2016;The Children's Society, 2016). The reason for this trend is unclear but likely to be multifactorial, encompassing a range of individual, social and environmental factors (Davison et al, 2021(Davison et al, , 2015a. Cross-sectional analysis of the Health Behaviour in School-aged Children (HBSC) study (Klocke et al, 2014) concluded that although individual level characteristics such as gender and age are important in explaining young people's wellbeing, social and environmental factors also contribute to wellbeing.…”

Section: Introductionmentioning

confidence: 99%

“…Intake of fruit and vegetables tends to be lower among boys than girls (de Oliveira Figueiredo, 2019, Skardal et al, 2014Post-Skagegard et al, 2002), and consumption reduces through adolescence (Post-Skagegard et al, 2002). Recent research in adolescents aged 13-16 years suggests that frequent fruit and vegetable consumption is associated with positive mental wellbeing (Davison et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

“…Wellbeing is determined by an array of interacting individual, social and environmental factors (Davison et al, 2015a(Davison et al, , b, 2021Kidger et al, 2012;Klocke et al, 2014). In order to design and target interventions to promote wellbeing appropriately, it is important to understand multiple factors with potential to impact upon adolescent wellbeing over time.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Less Screen Time, More Frequent Fruit and Vegetable Intake and Physical Activity are Associated with Greater Mental Wellbeing in Adolescents

et al. 2022

Self Cite

View full text Add to dashboard Cite

Wellbeing declines during adolescence, for which the reasons are unclear. This analysis explored associations between wellbeing and multiple lifestyle, socioeconomic and school-level factors in young people. Data were collected as part of the Wellbeing in School (WiSe) survey of adolescent school children in Northern Ireland at age 13–14 years (N = 1618; 49% female) and 15–16 years (N = 1558; 50.5% female). Wellbeing was assessed using the short-form Warwick-Edinburgh Mental Wellbeing Scale (sWEMWBS), where scores declined between time one (13–14 years) and time two (15–16 years) in both sexes and were significantly lower in females at both timepoints. Multilevel, multivariate modelling was therefore undertaken separately for males and females with sWEMWBS scores as the dependent variable. Physical activity, family affluence, fruit and vegetable intake, social media use, sleep duration, school factors (size and type) and religion were independent variables. More frequent physical activity in both sexes at both timepoints was associated with higher sWEMWBS scores. In females, higher sWEMWBS scores were associated with less social media use at time one (and marginally at time two), greater family affluence at time two, and being Catholic at both timepoints. In males, higher sWEMWBS scores were associated with more frequent fruit and vegetable intake at time one. Mental wellbeing was unrelated to sleep duration or school factors in either sex, at both time points. Efforts to maximize mental wellbeing in adolescents should promote engagement in physical activity and implement sex-specific interventions.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Less Screen Time, More Frequent Fruit and Vegetable Intake and Physical Activity are Associated with Greater Mental Wellbeing in Adolescents

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…Ethical approval for this study was granted by the School of Education Ethics Committee, Queen's University Belfast in February 2014. For full details of ethics and consent please see [49].…”

Section: Phase 1: Quantitative Exploration Participantsmentioning

confidence: 99%

A multi-method exploration into the social networks of young teenagers and their physical activity behavior

et al. 2021

Self Cite

View full text Add to dashboard Cite

Background There is a need for novel interventions to target inadequate levels of adolescent physical activity behavior. Previous research indicates that better understanding of the processes by which social networks influence physical activity behavior in adolescents may be useful to enhance intervention design. Methods This study used a multi-methods approach to aid our understanding about the role of social networks for adolescent physical activity behavior. The quantitative phase of data collection was analyzed using a three-step linear regression model using cross-sectional data from the WiSe study (n = 529 participants, 48.6% female, mean age 14.38 years (SD 0.32)). A demographically reflective sub-sample of schools were invited to take part in the qualitative phase, which involved focus group discussions. Thematic analysis was used to explore findings from the quantitative phase in greater depth, and identify other themes pertaining to the association between social networks and physical activity behavior. Results Males’ physical activity behavior was predicted by their friend group (0.46, p = 0.007) whereas females’ physical activity was predicted by their best friend (0.21, p = 0.03). The three main findings that were uncovered by the regression analysis were explored during the qualitative phase: 1) friends have similar physical activity behaviors; 2) friendship social networks may influence differently early adolescent male and female physical activity behavior; 3) popularity and sociability were not associated with physical activity behavior. Two additional themes emerged from the analysis of focus group data: 4) social norms and 5) external factors that may impact the relationship between adolescent physical activity behavior and social networks. Conclusions The investigation of the interplay between the findings from each phase of the inquiry indicated that social networks influence in different ways and to different degrees the physical activity of adolescent males and females. In turn, these insights point to the need for a systematic tailoring process for the development and implementation of physical activity behavior interventions.

show abstract

Effect of Sleep Changes on Health-Related Quality of Life in Healthy Children

et al. 2023

View full text Add to dashboard Cite

ImportanceLittle is known regarding the effect of poor sleep on health-related quality of life (HRQOL) in healthy children.ObjectiveTo determine the effect of induced mild sleep deprivation on HRQOL in children without major sleep issues.Design, Setting, and ParticipantsThis prespecified secondary analysis focused on HRQOL, a secondary outcome of the Daily Rest, Eating, and Activity Monitoring (DREAM) randomized crossover trial of children who underwent alternating weeks of sleep restriction and sleep extension and a 1-week washout in between. The DREAM trial intervention was administered at participants’ homes between October 2018 and March 2020. Participants were 100 children aged 8 to 12 years who lived in Dunedin, New Zealand; had no underlying medical conditions; and had parent- or guardian-reported normal sleep (8-11 hours/night). Data were analyzed between July 4 and September 1, 2022.InterventionsBedtimes were manipulated to be 1 hour later (sleep restriction) and 1 hour earlier (sleep extension) than usual for 1 week each. Wake times were unchanged.Main Outcomes and MeasuresAll outcome measures were assessed during both intervention weeks. Sleep timing and duration were assessed using 7-night actigraphy. Children and parents rated the child’s sleep disturbances (night) and impairment (day) using the 8-item Pediatric Sleep Disturbance and 8-item Sleep-Related Impairment scales of the Patient-Reported Outcomes Measurement Information System questionnaire. Child-reported HRQOL was assessed using the 27-item KIDSCREEN questionnaire with 5 subscale scores and a total score. Both questionnaires assessed the past 7 days at the end of each intervention week. Data were presented as mean differences and 95% CIs between the sleep restriction and extension weeks and were analyzed using intention to treat and an a priori difference in sleep of at least 30 minutes per night.ResultsThe final sample comprised 100 children (52 girls [52%]; mean [SD] age, 10.3 [1.4] years). During the sleep restriction week, children went to sleep 64 (95% CI, 58-70) minutes later, and sleep offset (wake time) was 18 (95% CI, 13-24) minutes later, meaning that children received 39 (95% CI, 32-46) minutes less of total sleep per night compared with the sleep extension week in which the total sleep time was 71 (95% CI, 64-78) minutes less in the per-protocol sample analysis. Both parents and children reported significantly less sleep disturbance at night but greater sleep impairment during the day with sleep restriction. Significant standardized reductions in physical well-being (standardized mean difference [SMD], −0.28; 95% CI, −0.49 to −0.08), coping in a school environment (SMD, −0.26; 95% CI, −0.42 to −0.09), and total HRQOL score (SMD, −0.21; 95% CI, −0.34 to −0.08) were reported by children during sleep restriction, with an additional reduction in social and peer support (SMD, −0.24; 95% CI, −0.47 to −0.01) in the per-protocol sample analysis.Conclusions and RelevanceResults of this secondary analysis of the DREAM trial indicated that even 39 minutes less of sleep per night for 1 week significantly reduced several facets of HRQOL in children. This finding shows that ensuring children receive sufficient good-quality sleep is an important child health issue.Trial RegistrationAustralian New Zealand Clinical Trials Registry: ACTRN12618001671257

show abstract

Exploring the association between mental wellbeing, health-related quality of life, family affluence and food choice in adolescents

Cited by 27 publications

References 95 publications

Less Screen Time, More Frequent Fruit and Vegetable Intake and Physical Activity are Associated with Greater Mental Wellbeing in Adolescents

Less Screen Time, More Frequent Fruit and Vegetable Intake and Physical Activity are Associated with Greater Mental Wellbeing in Adolescents

A multi-method exploration into the social networks of young teenagers and their physical activity behavior

Effect of Sleep Changes on Health-Related Quality of Life in Healthy Children

Contact Info

Product

Resources

About