UNASSIGNED: First, to examine the relationship between primary school children\'s academic achievement and healthy lifestyle habits. Second, to evaluate the effectiveness of two different 5-month physical education interventions (traditional physical education vs. coordinative physical education) on children\'s academic achievement. Third, to examine whether variations of anthropometric variables, fitness level, gross motor coordination, physical activity level, sedentary time, attentional performance, fruit and vegetable consumption, meal frequency and type of physical education intervention could predict children\'s academic achievement variations.
UNASSIGNED: Before and after the intervention, Italian language and mathematics skills, anthropometric variables (weight, height, body fat percentage, BMI), physical fitness (aerobic fitness, muscular strength, flexibility), gross motor coordination, attentional performance (processing speed, concentration performance, performance accuracy, attentional and inhibitory control), physical activity level, sedentary time and eating habits (meal frequency, fruit and vegetable consumption) were assessed in 161 Italian primary school children, randomly assigned to a traditional physical education group or to a coordinative physical education group.
UNASSIGNED: Physical activity level, gross motor coordination and aerobic fitness moderately predicted mathematics skill (R2 = 17%). Moreover, physical activity level, aerobic fitness and muscular strength moderately predicted Italian language skill (R2 = 21%). Intervention type differently affected academic achievement. Specifically, Italian language and mathematics skills significantly improved only after traditional intervention. Fruit consumption increase was positively associated with the improvement in academic achievement. Coordinative physical education intervention was associated with a lower probability of improvement in Italian language and mathematical skills.
UNASSIGNED: Motor ability and lifestyle habits may have a positive influence on academic achievement in children. Unexpectedly, traditional physical education intervention resulted to be more effective on both Italian language and mathematical skills.

BACKGROUND: Childhood overweight and obesity is a global concern and has increased in Spain over the last decades. Combinations of lifestyle behaviors (i.e., diet, sleep, and sedentarism) are highly related to weight status. Therefore, this study aimed to identify lifestyle patterns among children from Madrid City, and analyze associations with the prevalence of overweight, obesity, and abdominal obesity, considering socio-economic factors.
METHODS: A cross-sectional analysis was conducted on 4545 children from the ENPIMAD study with data on diet, sleep, anthropometric, and socio-economic variables. K-means cluster analysis was used to identify lifestyle clusters, and logistic regressions were used to examine the associations between socio-economic indicators and cluster membership, and between clusters and weight status.
RESULTS: Findings show three lifestyle clusters (healthy, mixed, and unhealthy), with boys and older children more represented in the unhealthy cluster. Food insecurity and low socio-economic status were associated with unhealthier clusters in boys and girls. Children in unhealthier clusters were more likely to have obesity and abdominal obesity. However, these associations disappeared in girls after controlling for food insecurity.
CONCLUSIONS: These results provide insight into the combination of behaviors and socio-economic factors associated with childhood obesity that may aid in the design of future interventions.

UNASSIGNED: To explore the association between VPA and weight status in adolescents.
UNASSIGNED: The 2017/2018 Health Behavior in School-aged Children survey (HBSC) targeted children and adolescents aged 11, 13 and 15. A systematic multistage stratified cluster randomized sampling method was used in each participating country. The 2017/2018 survey enrolled over 240,951 adolescents across 45 countries and regions. Frequency of VPA, weight status and confounding factors were collected using a self-reported questionnaire.
UNASSIGNED: Compared to daily VPA, less frequent VPA was linked to higher odds of obesity. For example, those who participating in VPA for 4-6 times a week (OR = 1.10, 95% CI = 1.06-1.13), 2-3 times a week (OR = 1.21, 95% CI = 1.17-1.25), or once a week (OR = 1.21, 95% CI = 1.16-1.25) all have higher odds of abnormal weight status. For boys, the frequency of 4-6 times a week (OR = 1.09, 95% CI = 1.04-1.13), 2-3 times a week (OR = 1.22, 95% CI = 1.17-1.27), or once a week (OR = 1.25, 95% CI = 1.19-1.32) were associated with higher odds of abnormal weight status. For girls, those who participating in VPA 4-6 times a week (OR = 1.11, 95% CI = 1.06-1.16), 2-3 times a week (OR = 1.20, 95% CI = 1.14-1.25), or once a week (OR = 1.17, 95% CI = 1.11-1.23) all have higher odds of abnormal weight status (i.e., overweight or obesity).
UNASSIGNED: This population-based study suggests that infrequent VPA participation is associated with unhealthy weight status in adolescents compared to their physically active counterparts. Additionally, this association remains consistent in both boys and girls.

Interventions aiming to reduce social inequalities of weight status in adolescents usually focus on lifestyle behaviours, but their effectiveness is limited. This study analysed the effect of achieving levels of dietary intake (DI) and/or physical activity (PA) guidelines on reducing social inequalities in weight status among adolescents. We included adolescents from the PRomotion de l\'ALIMentation et de l\'Activité Physique - INÉgalité de Santé (PRALIMAP-INÈS) trial with weight status data available at baseline and 1-year follow-up (n 1130). PA and DI were measured using the International Physical Activity Questionnaire and a validated FFQ, respectively. We estimated the likelihood of a 1-year reduction in BMI z-score (BMIz) and population risk difference (PRD) under hypothetical DI and PA levels and socio-economic status using the parametric G-formula. When advantaged and less advantaged adolescents maintained their baseline DI and PA, we found social inequalities in weight status, with a PRD of a 1-year reduction in BMIz of -1·6 % (-3·0 %, -0·5 %). These inequalities were not observed when less advantaged adolescents increased their proportion of achieving DI guidelines by 30 % (PRD = 2·2 % (-0·5 %, 5·0 %)) unlike the same increase in PA (PRD = -3·9 % (-6·8 %, -1·3 %)). Finally, social inequalities of weight status were not observed when levels of achievement of both PA and DI guidelines increased by 30 % (PRD = 2·2 % (-0·5 %, 4·0 %)). Enhancing DI rather than PA could be effective in reducing social inequalities in weight status among adolescents. Future interventions aiming to reduce these inequalities should mostly target DI to be effective.

BACKGROUND: To explore the associations between coronavirus infection incidence and weight status and social participation restrictions among community-dwelling adults in the United States.
METHODS: We analyzed data from the 2021 National Health Interview Survey (NHIS), which included a representative sample of 29,394 individuals (Coronavirus disease 2019 (COVID-19): 3,205) and a weighted total of 252,461,316 individuals (COVID-19: 31,697,404), considering the complex sampling design used in the survey.
RESULTS: Age, race/ethnicity, education level, family income index, body mass index (BMI), and smoking status were significantly associated with COVID-19 infection. Weight status was significantly correlated with social participation restrictions and strongly associated with COVID-19 infection, particularly among individuals who were overweight or obese.
CONCLUSIONS: Weight status was shown to be associated not only with social participation restrictions but also with COVID-19 infection among U.S. adults. Understanding the complex interplay between weight status, social participation, and COVID-19 is crucial for developing effective preventive measures and promoting overall well-being in the community population.

BACKGROUND: Maintaining a healthy lifestyle is crucial for safeguarding the well-being and quality of life perception, appropriate growth, and development of children and adolescents, while also mitigating the risk of future adult-onset diseases.
OBJECTIVE: To assess associations between perceived quality of life and healthy lifestyle and related outcomes in Spanish children and adolescents.
METHODS: Cross-sectional analysis of 8-16-year-old children and adolescents (n = 3534) were included in the nationwide study of Physical Activity, Sedentarism, and Obesity in Spanish Youth (PASOS). Data were collected through (1) questionnaires on health-related quality of life (HRQoL), healthy lifestyle outcomes (dietary intake, physical fitness, sleep, and screen time), and (2) anthropometric measurements for weight status assessment. Data were analysed by logistic regression, using the health-related quality of life (HRQoL) as the grouping variable.
RESULTS: Participants with a lower HRQoL were those with a lower adherence to the MedDiet and lower achievement of the recommended daily intake of fruit and vegetables. They were also less likely to follow the recommendations for screen time and sleep (with the exception of the weekend) compared to participants with a higher HRQoL. Participants with a lower HRQoL showed a lower healthy weight status and poorer physical fitness than those with a higher HRQoL.
CONCLUSIONS: Healthy eating habits, healthy weight status (normal weight), appropriate sleep time, physical fitness, and limited screen time play a crucial role in the perceived quality of life in children and adolescents.

BACKGROUND: Body weight dissatisfaction, when current and desired body mass index (BMI) do not align, is common in persons with obesity. The aim of this cross-sectional study was to explore factors associated with the differences between current and desired BMI, and ideal BMI (defined in the present study as BMI 25 kg/m2), in persons with obesity.
METHODS: Swedish citizens aged 20-64 years residing in the Stockholm County were randomly selected from the population register at five different and evenly separated occasions in the study period 1998-2000 and invited to provide self-reported data about their current weight, height, desired weight, and other characteristics such as depressive symptoms and alcohol intake. Among the 10,441 participants with a mean BMI of 24 kg/m2, differences between desired BMI and ideal BMI were calculated to determine the discrepancy between desired BMI and ideal BMI in participants with obesity (n = 808). The discrepancy between current and desired BMI was also determined. Using linear regression, factors associated with BMI discrepancies were determined.
RESULTS: Persons with BMI <40 kg/m2 desired a lower BMI than those with BMI ≥40 kg/m2 (26 ± 3 vs. 36 ± 14 kg/m2, p < 0.001). Women with obesity (n = 425) had a larger discrepancy between current and desired BMI, 32% ± 16, than men with obesity (n = 380), 24% ± 21 (p < 0.001). Persons with obesity and major depression had a 6.9% (95% CI: 2.5-11.4) larger discrepancy between current and desired BMI than persons with obesity but without major depression. Being born abroad, having a university degree, or hazardous alcohol use were not associated with discrepancy between current and desired BMI or desired BMI and ideal BMI (all p > 0.05).
CONCLUSIONS: Desired BMI and discrepancies between current, desired, and ideal BMI vary according to current BMI, sex, and presence of major depression. This underscores the significance of a patient-centered approach in the management of obesity, where the goals and needs of each patient should be considered.

Background: Parents can influence child weight through their use of food parenting practices, although data are limited in adolescents. The purpose of this study was to examine the cross-sectional and longitudinal relationships between BMI z-Score (zBMI) and restriction and pressure to eat in adolescents. Methods: Adolescents (12-14 years of age at baseline; N = 236) had their height/weight measured at baseline and 24 months and their parent completed the Child Feeding Questionnaire. Linear regressions examined relationships between food parenting practices and zBMI. Results: Cross-sectionally, restriction was positively associated with zBMI at both baseline (β = 0.28, p < 0.001) and 24 months (β = 0.141, p = 0.039). In contrast, pressure to eat was negatively associated with zBMI at both baseline (β = -0.30, p < 0.001) and 24 months (β = -0.31, p < 0.001). Neither restriction (β = -0.028, p = 0.446) nor pressure to eat (β = -0.027, p = 0.493) at baseline predicted 2-year changes in zBMI. zBMI at baseline did not predict 2-year changes in either restriction (β = -0.003, p = 0.965) or pressure to eat (β = -0.056, p = 0.611). Conclusion: Findings highlight that adolescents perceive moderate levels of restriction and pressure to eat, with levels differing by weight status. These findings suggest that the bidirectional relationships between child weight status and food parenting practices are likely established before adolescence, but persist throughout adolescence. Further longitudinal studies should examine the impact of restriction and pressure to eat early in childhood on weight trajectories into adolescence and adulthood. Clinicaltrials.gov: NCT04027608.

Research suggests parental ability to recognise when their child has overweight is limited. It is hypothesised that recognition of child overweight/obesity is fundamental to its prevention, acting as a potential barrier to parental action to improve their child\'s health-related behaviours and/or help seeking. The purpose of this study was to investigate the efficacy of an intervention (MapMe) to improve parental ability to correctly categorise their child as having overweight one-month post-intervention, and reduce child body mass index (BMI) z-score 12 months post-intervention. MapMe consists of body image scales of known child BMI and information on the consequences of childhood overweight, associated health-related behaviours and sources of support. We conducted a three-arm (paper-based MapMe, web-based MapMe and control) randomised control trial in fifteen English local authority areas with parents/guardians of 4-5- and 10-11-year-old children. Parental categorisation of child weight status was assessed using the question \'How would you describe your child\'s weight at the moment?\' Response options were: underweight, healthy weight, overweight, and very overweight. Child weight status and BMI z-scores were calculated using objectively measured height and weight data and UK90 clinical thresholds. There was no difference in the percentage of parents correctly categorising their child as having overweight/very overweight (n = 264: 41% control, 48% web-based, and 43% paper-based, p = 0.646). BMI z-scores were significantly reduced for the intervention group at 12 months post-intervention compared to controls (n = 338, mean difference in BMI z-score change -0.11 (95% CI -0.202 to -0.020, p = 0.017). MapMe was associated with a decrease in BMI z-score 12 months post-intervention, although there was no direct evidence of improved parental ability to correctly categorise child overweight status. Further work is needed to replicate these findings in a larger sample of children, investigate mechanisms of action, and determine the use of MapMe as a public health initiative.

Income inequality has been linked to high and unhealthy body mass index (BMI), though there is a dearth of evidence in adolescents. Therefore, this study examines the association between income inequality and BMI in a large sample of Canadian adolescents.
A pooled cross-sectional design was used. Participants were adolescents (n = 101,901) from 157 Canadian secondary schools participating in the 2016-2017, 2017-2018, or 2018-2019 waves of the Cannabis, Obesity, Mental health, Physical activity, Alcohol, Smoking, and Sedentary behaviour (COMPASS) study. BMI was calculated from self-reported height and weight and converted to World Health Organization (WHO) z-BMI scores. Gini coefficients were calculated at the census division level (n = 49) using data from the 2016 Canadian Census. Multilevel modelling was performed to account for the clustering of students nested within schools, which were nested within census divisions. Interactions were included to determine whether associations were heterogeneous for males and females.
Income inequality demonstrated a non-linear association with WHO z-BMI score (z-Gini: β = 0.05, 95%CI: 0.02, 0.08; z-Gini2: β = -0.02, 95% CI: -0.04, -0.01) among adolescents after adjusting for student-, school-, and census division-level covariates. This association was more pronounced among females.
The association between income inequality and BMI, being overweight, or having obesity appears to be non-linear. Public health units and schools may benefit from incorporating upstream factors such as income inequality into their interventions attempting to promote healthy weights.
RéSUMé: OBJECTIFS: L’inégalité des revenus a été liée à un indice de masse corporelle (IMC) élevé et malsain, bien qu’il y ait un manque de preuves chez les adolescents. Par conséquent, la présente étude examine l’association entre l’inégalité des revenus et l’IMC dans un vaste échantillon d’adolescents canadiens. MéTHODES: Un devis comprenant des études transversales groupées a été utilisé. Les participants étaient des adolescents (n = 101 901) de 157 écoles secondaires canadiennes participant aux vagues 2016-2017, 2017-2018 ou 2018-2019 de l’étude COMPASS (Cannabis, Obésité, Santé mentale, Activité physique, Alcool, Tabagisme et Comportement sédentaire). L’IMC a été calculé à partir de la taille et du poids auto-déclarés et convertis en scores z selon l’Organisation mondiale de la santé (OMS). Les coefficients de Gini ont été calculés à l’échelle du secteur de recensement (n = 49) en utilisant les données du Recensement canadien de 2016. Des modèles multiniveaux ont été effectués pour tenir compte du regroupement des élèves dans les écoles, qui elles-mêmes étaient incluses dans les secteurs de recensement. Des variables d’interactions ont été incluses dans les modèles afin de permettre une comparaison des paramètres estimés entre les hommes et les femmes. RéSULTATS: L’inégalité des revenus a démontré une association non linéaire avec le score de l’IMC z de l’OMS (z-Gini : β = 0,05, IC à 95 % : 0,02, 0,08; z-Gini2 : β = -0,02, IC à 95 % : -0,04, -0,01) chez les adolescents après ajustement pour tenir compte des covariables au niveau des élèves, de l’école et des divisions de recensement. Cette association était plus prononcée chez les femmes. CONCLUSION: L’association entre l’inégalité des revenus et l’IMC, l’embonpoint ou l’obésité semble être non linéaire. Les bureaux de santé publique et les écoles pourraient tirer profit de l’intégration de facteurs en amont comme l’inégalité des revenus dans leurs interventions visant à promouvoir le poids santé.