This article examines the heterogeneity of the association between obesity and COVID-19 mortality across various dimensions, including COVID-19 vaccination rates, mask mandates, gathering restrictions, and household income. Using multivariate regression analysis on U.S. county-level data over 2020-2021, the authors found that county-level adult obesity rates were positively associated with COVID-19 death rates. The results suggest that on average, a 10-percentage-point decrease in adult obesity rate is associated with a decrease in COVID-19 deaths by 4.79%-5.98% in the U.S. Considering that the average adult obesity rate in the U.S. is higher than the global average, this finding may explain why deaths due to COVID-19 were disproportionately large in the U.S. In addition, the authors found that association between obesity and the COVID-19 death rate is much more pronounced in groups with low vaccination rates, weak mask mandates, loose gathering restrictions, or low household incomes, indicating the importance of COVID-19 response policies and income to people with obesity facing a pandemic. The study results contribute to policy discussions surrounding preparation for COVID-19-like pandemics. Food policies and health promotion strategies that encourage physical well-being to reduce obesity prevalence may help reduce mortality in future pandemics.

Background: The COVID-19 pandemic has exacerbated the obesity epidemic, with both adults and children demonstrating rapid weight gain during the pandemic. However, the impact of having a COVID-19 diagnosis on this trend is not known. Methods: Using longitudinal data from January 2019 to June 2023 collected by the US National Institute for Health's National COVID Cohort Collaborative (N3C), children (age 2-18 years) with positive COVID-19 test results {n = 11,474, 53% male, mean [standard deviation (SD)] age 5.57 [±3.29] years, 54% White, mean [SD] 5.2 [±2.9] BMI observations per participant} were matched with COVID-19-negative children with identical demographic characteristics and similar observation window. We compared BMI percentile trajectories between the COVID-19-positive and COVID-19-negative cohorts, with further evaluation performed on COVID-19-positive patients stratified by hospitalization status. Results: COVID-19-positive patients had a greater increase in % B M I p 95 than COVID-19-negative patients (average increase of 2.34 (±7.73) compared to 1.46 (±6.09), p < 0.0005). COVID-19-positive patients gained more weight after their diagnosis of COVID-19 than before. Nonhospitalized children gained more weight than hospitalized children [average increase in % B M I p 95 of 2.38 (±7.65) compared to 1.87 (±8.54)]. Mixed-effect regression analyses demonstrated that these associations remained even after adjusting for time, demographics, and baseline % B M I p 95 . Conclusions: Having a COVID-19 diagnosis was associated with more rapid weight gain, especially after diagnosis and early in the pandemic. Future research should explore the reasons for this association and the implications for future health emergencies.

Most forms of obesity are associated with chronic diseases that remain a global public health challenge.

Despite significant advancements in understanding its pathophysiology, effective management of obesity is hindered by the persistence of knowledge gaps in epidemiology, phenotypic heterogeneity and policy implementation.

This consensus statement by the European Society for Clinical Investigation identifies eight critical areas requiring urgent attention. Key gaps include insufficient long-term data on obesity trends, the inadequacy of body mass index (BMI) as a sole diagnostic measure, and insufficient recognition of phenotypic diversity in obesity-related cardiometabolic risks. Moreover, the socio-economic drivers of obesity and its transition across phenotypes remain poorly understood.

The syndemic nature of obesity, exacerbated by globalization and environmental changes, necessitates a holistic approach integrating global frameworks and community-level interventions. This statement advocates for leveraging emerging technologies, such as artificial intelligence, to refine predictive models and address phenotypic variability. It underscores the importance of collaborative efforts among scientists, policymakers, and stakeholders to create tailored interventions and enduring policies.

The consensus highlights the need for harmonizing anthropometric and biochemical markers, fostering inclusive public health narratives and combating stigma associated with obesity. By addressing these gaps, this initiative aims to advance research, improve prevention strategies and optimize care delivery for people living with obesity.

This collaborative effort marks a decisive step towards mitigating the obesity epidemic and its profound impact on global health systems. Ultimately, obesity should be considered as being largely the consequence of a socio-economic model not compatible with optimal human health.

To identify new and accelerated modes of practice used by school nurses during the COVID pandemic. To create a quick reference infographic bringing together experiential evidence on the range and considerations regarding different modes of practice for use by the school nursing community of practice.

A descriptive qualitative secondary data analysis of open-ended questions in a survey, and focus groups with school nurses. The pragmatic aim was to focus on changes in school nurse modes of practice to ensure continued engagement with children and young people, and school nurses' experience of the benefits and challenges of these modes of practice.

Data were collected from 98 school nurse participants across a United Kingdom-wide survey (n78) in April to May 2022, and focus groups (n20) in June to July 2022, within the School Nursing in the Time of COVID project. Data from the seven open-ended questions in the survey and four questions from the focus group were analysed using the framework approach.

Modes of practice fell into two categories: individual assessment and support (video-calling platforms, telephone contact, virtual messaging, walk-and-talks and home visits) and group support (wellbeing approaches, social media). Considerations for these modes rooted in school nurses' experience are described. Interpretations were used to create the summarising evidence-based infographic as a quick reference resource for school nurses.

There was no 'one size fits all' approach. The modes used by school nurses were adopted or developed out of necessity or resource availability and in response to the specific needs of individuals or groups. The developed infographic provides a quick reference guide to deliver the expressed need for knowledge exchange within the school nursing community by participants in the original studies and can be used to inform current school nurse practice.

The developed evidence-based infographic has stand-alone value. It has the potential to raise awareness of the range of different strategies that can be used to facilitate and/or enhance engagement with children and young people, equip school nurses with knowledge to foster innovative and responsive practice and aid critical reflection in a complex post-pandemic landscape. The infographic is a unique resource and is a first step in knowledge exchange based on experiential learning. The resource will be used as the foundation for future work to develop a co-created training resource for school nurse students (undertaking the Specialist Community Public Health Nurses course) and/or continuing professional development resource for established school nurses.

This study has been conducted and reported in accordance with COREQ guidelines for qualitative research.

A consultation group was closely involved with the planning, conduct and analysis of the original studies. This group consisted of representatives from professional organisations SAPHNA (School and Public Health Nurses Association) and the CPHVA (Community Practitioners' and Health Visitors' Association), a school nurse and a member of the public. SAPHNA have continued in their consultative role for this study and has provided content and usability feedback regarding the infographic. Early findings have been presented to the SN community of practice, and feedback invited, through presentation separately at the CPHVA and SAPHNA annual conference.

To examine the effects of societal and public health changes during the COVID-19 pandemic in Sweden on children's body mass index (BMI) and to determine whether the effect persisted and differed between the sexes.

We used growth curve models applied to retrospective cohorts of children in preschool, grade 4, grade 7, and the first year of high school between the years 2014 and 2023. The data include information on the BMI of individuals in these grades.

The results indicate that the pandemic in Sweden was associated with a very small weight gaining effect among children, with no substantial differences between the sexes. The effect peaked approximately 2 years after the beginning of the pandemic, following which the BMI began trending back toward levels that would be expected had the pandemic not affected children's body weight.

These study findings from Sweden partially align with those of international studies, although the effect is smaller in magnitude compared with international estimates. The results of this study suggest that more liberal restrictions, compared with stricter ones, are associated with a smaller excess increase in body weight among children.

Comprehensive research about changes in risk factor (RF) management of people with chronic conditions during the COVID-19 pandemic is sparse. We aimed to study the impact of the pandemic on RF assessment in people with type 2 diabetes (T2DM), cardiovascular disease (CVD), and chronic kidney disease (CKD).

Using UK Clinical Practice Research Datalink GOLD, we identified adults with T2DM, CVD and CKD who were alive and registered two years before (March 2018 - February 2019; March 2019 - February 2020) and one year during (March 2020 - February 2021) the pandemic. We estimated the proportion of people whose RFs (systolic (SBP) and diastolic (DBP) blood pressure, total cholesterol (TC), body mass index, smoking, and HbA1c) were assessed, mean values, and the proportion of controlled at each period for each cohort, overall and by age, sex, ethnicity, and deprivation. Multivariable logistic regression was used to estimate the association of patient characteristics (age, sex, ethnicity, deprivation, and comorbidity) with the outcome of having all RFs assessed during a given period.

Within the T2DM cohort, 66.4% and 65.2% had assessments of HbA1c in 2018 and 2019, which reduced to 43.4% in 2020. In CVD cohort, 76.9% and 72.6% had their BP measurements (54.5% and 51.3% for TC) in 2018 and 2019 respectively, which declined to 40.6% (30.7% for TC) in 2020. In CKD cohort, BP assessments declined from 77.9% and 72.3% in 2018 and 2019 respectively to 45.0% in 2020. These findings were consistent across patient demographics. In those with T2DM, SBP and DBP increased (+1.65 mmHg and +1.02 mmHg) in 2020. Elderly people were less likely to have all their RFs assessed in 2020 in all three cohorts compared to previous years.

Among people with major cardiometabolic conditions, there have been substantial reductions in the assessment and control of several key RFs during the pandemic. These patients will need regular monitoring in future for the prevention of complications. Our findings also highlight the need for resilient healthcare systems to ensure continuity of care and mitigate disparities in high-risk populations.

Background: During the coronavirus disease 2019 (COVID-19) pandemic, people in Japan were urged to stay at home as much as possible, and this resulted in significant changes in lifestyle behavior. The new lifestyle included factors affecting both energy intake and energy consumption, and it is now thought that weight gain during the lockdown was the result of complex effects. The aim of this study was to determine the relationships among lifestyle habits, laboratory data, and body weight gain during the lockdown using medical check-up data. Methods: A total of 3789 individuals who had undergone consecutive medical check-ups during the period from 2018 to 2020 were included in this study. Participants whose body weight had increased by 5% or more were divided into two groups: a before-lockdown group (participants who had gained weight between 2018 and 2019) and an after-lockdown group (participants who had gained weight between 2019 and 2020). Physical measurements, laboratory data, and answers to six questions about lifestyle habits, for which information was obtained from the records from medical check-ups, were compared in the two groups. Results: There was no significant difference between the distribution of weight changes in 2018-2019 before the lockdown and the distribution of weight changes in 2019-2020 after the lockdown. The before-lockdown and after-lockdown groups both included about 7% of the total participants (279 and 273 participants, respectively). Diastolic blood pressure and levels of AST, ALT, and LDL-C were significantly higher in the after-lockdown group than in the before-lockdown group. The percentages of participants with alcohol consumption and exercise habits were significantly higher in the after-lockdown group than in the before-lockdown group, and an analysis by gender showed that the differences were significant for women but not for men. Conclusions: The distributions of weight changes before and during the COVID-19 pandemic were similar. Exercise habits and alcohol consumption might have been unique factors causing weight gain during the COVID-19 pandemic, particularly in women. Our findings suggest that the impact of behavioral restrictions and lifestyle changes during a pandemic may be different in men and women.

Natural disasters can lead to more adverse pregnancy outcomes (APO). It is unclear if the extended COVID-19 pandemic has impacted APOs and pre-existing conditions among perinatal populations with increased risk of severe maternal morbidity and mortality.A retrospective chart review was conducted of hospital records and birth certificates in the largest birth hospital in Louisiana from 2017 to 2022. Amongst 27,877 births (50.9% White, 38.3% Black, 28.9 ± 5.6 years), gestational diabetes (GDM) was lowest in pre-pandemic conceptions (11.0%, June 2017-May 2019) and rose to 16.4% early pandemic (October 2019-February 2020) but leveled off at 12.2% in peak (March 2020-February 2021) and late pandemic (March 2021-September 2021). Individuals who conceived in early and peak pandemic were 47% (95% CI 33, 63) and 11% (95% CI 2, 20) more likely to develop GDM respectively, compared to pre-pandemic conceptions. Individuals who delivered during early (aRR: 1.54, 95% CI 1.33-1.78), peak (aRR: 1.48, 95% CI 1.32-1.65), and late (aRR: 1.62, 95% CI 1.41, 1.85) pandemic were more likely to develop preeclampsia and HELLP syndrome compared to pre-pandemic conceptions. Individuals were also 17% (95% CI 5, 32) more likely to enter pregnancy with chronic hypertension in peak pandemic compared to pre-pandemic. In paired analysis (n = 3390), individuals with a pandemic conception that occurred early pandemic had a higher risk of developing GDM compared to their pre-pandemic pregnancy (aOR 3.26, 95% CI 1.52, 6.97). Supporting birthing individuals amongst significant stressful events, especially in early gestation, is critical for preventing APOs and severe maternal morbidity and mortality.

Acceptance and commitment therapy provides a psychobehavioral framework feasible for digital and hybrid weight loss interventions. In face-to-face studies, group-based interventions yield more favorable outcomes than individual interventions, but the effect of the intervention form has not been studied in combination with eHealth.

This study investigated whether a minimal, 3-session group or individual enhancement could provide additional benefits compared to an eHealth-only intervention when assessing weight, body composition, and laboratory metrics in a sample of occupational health patients with obesity.

This study was a randomized controlled trial with a 12-month intervention, followed by a 12-month follow-up period without additional support (March 2021 to March 2023). Recruited from occupational health care for Finnish municipal employees, 111 working-age adults with a BMI of 30-40 kg/m2 were randomized to 1 of the 3 treatment arms: eHealth, eHealth+group, or eHealth+individual. All treatment arms received a web-administrated, coach-assisted eHealth program based on acceptance and commitment therapy, and additionally, the eHealth+group and eHealth+individual arms received 3 remotely facilitated group or individual meetings with their designated coach. The participants were assessed for weight, body composition, blood pressure, and laboratory measurements at 0-, 6-, 12-, and 24-month time points. Applying estimated means to decrease bias caused by dropouts, generalized estimating equations were used to study the differences between the 3 groups over time.

There were no between-group differences in primary measurements of weight change or categorical weight change. Secondary outcomes also did not show changes attributable to the intervention arm. Across the entire sample, the total weight loss was 1.5% during the intervention, with 18% (20/111) of the participants attaining a ≥5% weight loss. Sustained at follow-up, waist circumference decreased, and high-density lipoprotein cholesterol increased slightly. The participants completed, on average, 58.6% of the eHealth program.

There were no differences in weight or other somatic health variables between the eHealth arm and intervention combining eHealth with minimal group or individual enhancement. Despite a modest overall weight loss, the intervention shows promise in improving body composition and metabolic health. Moving forward, further research is needed to determine if there is a threshold where face-to-face meetings provide additional benefits in hybrid interventions. Moreover, there is a need to explore for whom and under what conditions eHealth and hybrid models may be most effective.

ClinicalTrials.gov NCT04785586; https://clinicaltrials.gov/study/NCT04785586.

The COVID-19 pandemic initiated public health measures, impacting mental health and exacerbating disordered eating behaviours (DEB). This study aims to fill gaps in understanding DEB in the general population during the pandemic, emphasising gender dynamics and the experiences of gender and/or sexual minority (SGM) individuals.

A systematic literature review followed PRISMA guidelines to investigate DEB during the pandemic, focusing on gender-sensitive analyses and SGM populations. Outcomes from the included studies were synthesised to identify patterns and associations related to DEB, particularly considering gender dynamics and SGM experiences.

Significant gender associations with DEB were observed, with women consistently exhibiting higher scores. SGM populations also showed elevated DEB symptoms. Longitudinal studies indicated changes in DEB over time, with some decreases observed among men.

The review underscores significant gender differences in DEB during the pandemic, with women exhibiting higher symptom levels. Lockdown measures had nuanced impacts on DEB, varying across studies. Various factors including pandemic-related stressors influenced DEB. Consideration of these factors can inform tailored interventions for DEB in the general population. Overall, the review enhances our understanding of how gender intersects with the pandemic's impact on DEB, emphasising the need for diverse approaches to address these behaviours.

Conduct a systematic review and meta-analysis of randomized controlled trials (RCTs) of behavioural and psychological interventions for managing paediatric obesity.

Eligible studies, published between 1985 and 2022, included 0 to 18 year olds with outcomes reported ≥3 months post-baseline, including patient-reported outcome measures (PROMs), cardiometabolic and anthropometric outcomes, and adverse events (AEs). We pooled data using a random effects model and assessed certainty of evidence (CoE) related to minimally important difference estimates for outcomes using GRADE.

We included 73 unique RCTs (n = 6305 participants, 53% female). Intervention types included physical activity (n = 1437), nutrition (n = 447), psychological (n = 1336), technology-based (n = 901) or multicomponent (≥2 intervention types, n = 2184). Physical activity had a small effect on health-related quality of life (HRQoL), varying effects ranging from moderate to very large on blood pressure, lipids and insulin resistance, and a small effect on BMIz. Nutrition had a small effect on lipids, insulin resistance and BMIz. Psychological interventions showed a small effect on HRQoL and triglycerides and moderate benefits on depressive symptoms, while technology interventions showed small benefits on blood pressure and BMIz. Multicomponent interventions had a large benefit on anxiety, small benefit on depressive symptoms, with large to very large benefits on lipids, and small benefits for diastolic blood pressure, insulin resistance and BMIz. AEs were reported infrequently, and when reported, were described as mild.

Physical activity and multicomponent interventions showed improvements in PROMs, cardiometabolic and anthropometric outcomes. Future trials should consistently measure PROMs, evaluate outcomes beyond the intervention period, and study children <6 years of age.

To assess the prevalence of overweight among Swedish 4 year olds in 2018, 2020 and 2022, taking socioeconomic variables into account.

Aggregated regional data on children's body mass index were collected. The socioeconomic Care Need Index (CNI), foreign background, low education, being a single parent, low income and childhood poverty, were assessed. The differences in overweight, including obesity, were tested for Sweden and for regions.

Data were available for 303 843 children, representing 87% of children born in 2014, 2016 and 2018. Overweight or obesity were found in 11 177 (11.4%) of children in 2022, decreasing from 2020 (13.3%, p < 0.001) but at the same level as in 2018. Regional low CNI, low level of foreign background, education and income as well as being a single parent were associated with a higher prevalence of overweight or obesity in all cohorts (p < 0.001). In regions with high levels of childhood poverty, overweight or obesity were more prevalent during (p = 0.009) and after the pandemic (p < 0.001).

Three national cohorts demonstrate that the increase in overweight during the COVID-19 pandemic has returned to pre-pandemic levels, but the inequalities in health associated with socioeconomic vulnerability of the regions remained.

The aim was to investigate trends in obesity prevalence by gender and educational level in the general population aged 30-69 years, based on large surveys conducted in Mid-Sweden in 2012, 2017 and 2022.

The study included 22 082, 15 264 and 17 055 respondents, respectively. Obesity (body mass index ≥30 kg/m2) was based on self-reported weight and height. Trends in obesity prevalence, including comparisons across educational levels, were estimated by age-standardised proportions with corresponding 95% CIs. Differences between genders, educational levels and survey years were tested using multiple logistic regression.

The overall age-standardised prevalence of obesity increased from 17.6% in 2012 to 20.1% in 2017 and to 23.3% in 2022. There was no statistically significant difference in obesity prevalence between men and women. Large and persisting inequalities between educational levels were however observed. In 2022, the prevalence of obesity was about 30% among persons with low/middle education and 18% among persons with high education.

Efforts to tackle the obesity epidemic are urgently required in Sweden, taking into consideration the circumstances of groups with low and middle levels of education.

The lockdowns imposed by the government during coronavirus disease 2019 (COVID-19) pandemic have had a significant impact on the Italian population habits.

LOckdown and lifeSTyles in Italy and in Tuscany studies collected data on a representative sample of the Italian adult population in 2020 (n = 6,003) followed up through 2023 via four additional surveys (3,000 ≤ n ≤ 6,600) through an online self-administered questionnaire. The Alcohol Use Disorders Identification Test-Concise was used to identify at-risk drinkers. Considering the cohort of individuals who took part to the first and at least one other wave (n = 5,378), a multilevel logistic model was used to derive odds ratios (ORs) and corresponding 95% confidence intervals (CIs) of being at-risk drinkers.

The prevalence of at-risk drinkers was 26.4% before, 23.4% during the first lockdown, and stabilized around 30.0% thereafter. Being at-risk alcohol consumers decreased with decreasing economic status (P for trend <0.001), was less frequent among middle-aged compared to younger (OR 0.73; 95% CI, 0.60-0.89) and among divorced/separated (OR 0.77; 95% CI, 0.60-0.99) or single (OR 0.75; 95% CI, 0.64-0.89) compared to married individuals. It was more frequent among individuals with anxiety or depressive symptoms (OR 1.24; 95% CI, 1.12-1.37), those using psychotropic drugs (OR 1.99; 95% CI, 1.69-2.35) and users of conventional and/or alternative nicotine products (OR 3.67; 95% CI, 3.00-4.48).

The long-term trends in alcohol consumption after the COVID-19 pandemic are unfavorable in Italy. The results point to an increased vulnerability for at-risk alcohol consumption among younger individuals, women with higher economic status, and married individuals. At-risk drinking is strongly related to mental health symptoms and nicotine consumption.

Polycystic Ovary Syndrome (PCOS) is a complex endocrine-metabolic disorder and is associated with a variety of health disorders. The management of PCOS requires a multidisciplinary health care approach. The COVID-19 pandemic affected access and delivery of health care. The aim of this study was to assess the impact of the pandemic on the health and health care experience of those affected by PCOS.

An online survey was conducted January 2021 to July 2022 in Canada, open to anyone who identified as having PCOS. Data collected in REDCap included questions on demographics, symptoms, and experience of PCOS management during the pandemic.

The majority (59%) of respondents (n=194, mean age 34±8 years) experienced pandemic-related employment changes and self-reported a high stress level (73±21/100). Of those who reported changes in body weight, 58% gained weight, which they attributed to unhealthy eating habits and a lack of exercise during the pandemic, and 16% lost weight, which they credited to increased physical activity and a shift towards healthier eating habits. The respondents ascribed the impact of COVID-related changes to clinic cancellations, delayed appointments, long wait times for referrals and lab work, lack of access to exercise facilities and insufficient social support. Some respondents voluntarily reduced access to health care services to limit COVID exposure. COVID-19-related health status was perceived as more important than their own PCOS-related symptoms. Virtual appointments via telehealth were regarded as beneficial for 20% of users.

Individuals with PCOS reported an overall reduction in COVID-related access to health care and supports. Some adapted to the use of telemedicine, while others experienced increased stress due to a lack of access to health care and an inability to manage their PCOS symptoms. The pandemic further highlighted that those with PCOS often experience a lack of accessibility to multidisciplinary health care and supports needed to manage their condition.

The present study explored the anti-obesity effects of NET-2201 (Capsicum chinense L. cv.), a non-pungent cultivated variety of chili pepper, and its underlying molecular mechanism in high-fat-diet (HFD)-induced obese mice. Administration of 50 mg/kg NET-2201 significantly inhibited body weight (BW) gain and reduced adipose tissue weight in obese mice. NET-2201 caused improvement in the expression levels of genes associated with lipid metabolism in white adipose tissue (WAT) to near-normal levels. Furthermore, NET-2201 significantly increased peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PGC-1α) and uncoupling protein 1 (UCP1) protein expressions in brown adipose tissue (BAT). Moreover, NET-2201 activated WAT browning by altering the expression levels of brown and beige adipocyte-selective genes, including UCP1, PGC-1α, and PR domain containing 16. Our results indicate that dietary NET-2201 mitigates BW gain by activating BAT and inducing WAT browning.

The online version contains supplementary material available at 10.1007/s10068-024-01692-z.

During the coronavirus disease 2019 (COVID-19) pandemic, the Australian state of Victoria (in particular, its capital, Melbourne) experienced some of the longest lockdowns in the world.

This repeated cross-sectional study examined changes between March to June 2019 (pre-pandemic) and April to August 2022 (6 to 11 months following pandemic-related lockdowns) in overweight and obesity prevalence, physical activity, sedentary behaviour, sleep, diet quality, and health-related quality of life (HRQoL) among primary school children in north-east Victoria, Australia.

Height and weight were measured for Grade 2, 4, and 6 students in 2019 (3889 children) and 2022 (1816 children). Grade 4 and 6 students self-reported on their movement behaviours, diet quality, and HRQoL.

Participation declined among schools (2019:56%, 2022:34%) and students (2019:87%, 2022:75%). Compared to children in 2019, children in 2022 had a higher prevalence of overweight and obesity; were less likely to have met guidelines for moderate-to-vigorous physical activity, recreational screen time, and vegetable consumption; had higher intakes of takeaway food, energy-dense nutrient-poor snacks, and sugar-sweetened beverages; and had lower HRQoL.

Children's health-related behaviours and outcomes seemed not to have returned to pre-pandemic levels 6 to 11 months after the final lockdowns lifted for their communities. Continued monitoring and interventions targeting the drivers of childhood obesity are urgently needed.

The COVID-19 pandemic has impacted the lifestyles of children and adolescents because of the restrictions imposed to contain the infection. This systematic review examined the possible reduction in children's and adolescents' physical activity and changes in their BMI and weight status.

A systematic review (PROSPERO: CRD42024589208) of English-language studies published up to 1 October 2024 in individuals with a mean age between 6 and 18 years that investigated physical activity data before and during or after the pandemic and focused on their BMI and weight status according to age, sex, and country making use of PubMed, Web of Science, and Scopus, identified 1040 possible articles.

Following the PRISMA statement, 26 articles with a whole set of 138,737 children and adolescents were enclosed in the review. The majority of included articles were of moderate quality, as determined by the Newcastle-Ottawa Scale adapted for observational studies. The studies found a decrease in PA, an increase in sedentary activities during/after the lockdown, and an increase in BMI and prevalence of overweight and obesity, especially in males and 8-11-year-olds.

The interruption or restriction of outdoor physical activities and sports during the COVID-19 pandemic resulted in a more sedentary lifestyle among children and adolescents, contributing to an overall increase in BMI and obesity, with alarming implications for related health risks and other noncommunicable diseases. Therefore, the adverse effects of restrictive measures should be assessed when implementing public health strategies during pandemics.

There is limited information on changes in body mass index (BMI) due to the COVID-19 pandemic among persons of migrant origin. The aim of the present study was to examine factors associated with changes in BMI among the general- and migrant-origin populations in Finland.

Longitudinal data to explore individual-level changes in self-reported BMI among migrant-origin persons (N = 3313) were obtained from the FinMonik Survey conducted in 2018 and the MigCOVID Survey conducted 2020-2021. Data for the general population reference group were obtained from the FinHealth 2017 Study conducted 2017-2018 and its follow-up conducted in 2020 (N = 2982). Logistic regression was applied to examine whether age, sex, education, economic activity, length of residence in Finland, language skills, smoking, alcohol usage, sleep, physical activity, snacking, and fruit and vegetable consumption were associated with an increase or decrease in BMI. A change in BMI was defined as a 5% or greater increase or decrease.

Twenty-seven per cent of the migrant-origin population experienced an increase in BMI, while 14% had a decrease in BMI. These results corresponded to figures observed among the general population in Finland (27% and 14%). Persons of migrant origin who were other than students or employed faced greater odds of an increase in BMI of at least 5% (OR = 1.71). In the general population, an increase in BMI of at least 5% had greater odds of occurring among women (OR = 1.61), those who were other than students or employed (OR = 1.68), those who increased their alcohol intake (OR = 1.64), those who increased their snacking (OR = 1.40) and decreased their fruit and vegetable intake (OR = 1.85).

Most examined factors applied differently to general- and migrant-origin populations and by migrant-origin group. These differences must be considered when planning future public health promotion efforts, particularly those during crisis situations.

Nutritional issues, including overweight and obesity, along with the rising number of immigrants facing their own nutritional problems, continue to keep Chile on alert.

To evaluate the epidemiological and nutritional status changes among Chilean and immigrant boys, girls, and adolescents (BGA) in schools evaluated by the National Board of School Aid and Scholarships (JUNAEB) from 2013 to 2023.

This descriptive study analyzed individual, anonymous, and de-identified data on the nutritional status of BGA in pre-kindergarten, kindergarten, first grade, fifth grade, and the first year of high school using the JUNAEB Nutritional Map.

The sample consisted of 8,128,014 BGA, 49.2% women and 50.8% men. In 2013, immigrant BGA represented 0.4% of the total number of children evaluated, and by 2023, this percentage increased to 7.9%. It was observed that Chilean BGA had a lower proportion of thinness, risk of thinness, stunting, and normal weight, but a higher proportion of overnutrition compared to immigrants, similar to observations made during the COVID-19 pandemic. Comparisons by sex showed that Chilean and immigrant women had a lower percentage of thinness, risk of thinness, obesity, severe obesity, and stunting, and a higher proportion of normal weight when compared to men.

The rise in immigrant BGA within the Chilean school system, together with the nutritional differences between both groups, highlights the need to consider these particularities when designing nutritional public policies in the health and education sectors.

The COVID-19 pandemic has led to detrimental effects on diverse aspects of the mental and physical health of the general population worldwide. The elderly are more susceptible to COVID-19 infection compared to younger age groups. In this aspect, the purpose of the current survey is to evaluate the effect of the COVID-19 pandemic on the interrelationships among the sociodemographic and anthropometric characteristics, depressive behavior, quality of life, cognition status, physical activity and nutritional status of older adults.

The present study constitutes a comparative, cross-sectional study of 4162 older adults (mean age ± standard deviation: 72.13 ± 8.1 years and 75.22 ± 8.2 years in the pre- and post-COVID-19 periods, respectively, and a male/female ratio of almost 1:1). We used validated questionnaires to assess depression, cognition function, quality of life, physical activity and nutritional status of the elderly in the pre-Covid and post-Covid periods. Relevant questionnaires were also used for collecting sociodemographic data, while anthropometric data were measured using standard protocols.

The present study finds that the COVID-19 pandemic influenced, in an independent manner, residence location, smoking status, overweight/obesity and abdominal obesity, depressive behavior, quality of life, cognition behavior, physical activity levels and nutritional status of the elderly. The COVID-19 pandemic was also related to employment and living status as well as family economic status. Nevertheless, the above three relationships were insignificant in the multivariate analysis.

The COVID-19 pandemic exerted deleterious effects on several aspects of the mental and physical health of the elderly, which appeared to strongly persist in the post-Covid period. Future prospective population-based and well-organized surveys should be conducted to establish whether there is a causality long-term effect of the COVID-19 pandemic on diverse aspects of the mental and physical health of the elderly.

The COVID-19 pandemic has exacerbated the obesity epidemic, with both adults and children demonstrating rapid weight gain during the pandemic. However, the impact of having a COVID-19 diagnosis on this trend is not known.

Using longitudinal data from January 2019 to June 2023 collected by the US National Institute for Health's National COVID Cohort Collaborative (N3C), children (age 2-18 years) with positive COVID-19 test results (n=11,474, 53% male, mean [SD] age 5.57 [±3.29] years, 54% white, mean [SD] 5.2 [±2.9] BMI observations per participants) were matched with COVID-19 negative children with identical demographic characteristics and similar observation window. We compared BMI percentile trajectories between the COVID-19 positive and COVID-19 negative cohorts, with further evaluation performed on COVID-19 positive patients stratified by hospitalization status.

COVID-19 positive patients had a greater increase in % B M I p 95 than COVID-19 negative patients (average increase of 2.34 (±7.73) compared to 1.46 (±6.09), p<0.0005). COVID-19 positive patients gained more weight after their diagnosis of COVID-19 than before. Non-hospitalized children gained more weight than hospitalized children (average increase in % B M I p 95 of 2.38 (±7.65)) compared to 1.87 (±8.54)). Mixed effect regression analyses demonstrated that these associations remained even after adjusting for time, demographics, and baseline % B M I p 95 .

Having a COVID-19 diagnosis was associated with more rapid weight gain, especially after diagnosis and early in the pandemic. Future research should explore the reasons for this association and the implications for future health emergencies.

The aim of the study was to assess changes in waist and hip circumference, as well as the waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR) indices among adolescents (11-15-year-olds) from the Kraków during the COVID-19 pandemic.

Cross-sectional studies were conducted in four main districts of the city in the years 2020 and 2022. The study group consisted of 1662 people. Measurements of height, waist circumference, and hip circumference were taken. The collected data were used to calculate the WHR and WHtR indices. Statistical analyses were performed using two-way ANOVA and post hoc Tukey's test, as well as the Kruskal-Wallis test, depending on the normality of distribution.

An increase in hip circumference was observed in most age groups of both sexes. Among 14-15-year-old boys, an increase in waist circumference was observed, while among girls, the majority of cohorts showed the opposite trend. Additionally, in most age groups, a decrease in the values of WHR and WHtR indices was observed in both sexes, except for boys aged 14-15.

The study found that government-imposed restrictions related to the COVID-19 pandemic had an impact on waist circumference, hip circumference, WHR, and WHtR indicators among adolescents aged 11-15 from Kraków. While some results showed regression, suggesting potential factors such as reduced physical activity or increased screen time contributing to deteriorating outcomes. On the other hand, not all results changed, which may be attributed to the absence of modifications in dietary habits or physical activity as government restrictions ceased.

Stroke associated with atrial fibrillation (AF) is a significant cause of mortality. This study analyzed demographic trends and disparities in mortality rates due to stroke in AF patients aged ≥25 years.

A retrospective analysis was conducted to acquire death data using the Centers for Disease Control and Prevention database from 1999 to 2020. Age-adjusted mortality rates (AAMRs) were calculated per 100,000 persons, and trends were assessed using Average Annual Percentage Change (AAPC) and annual percent change (APC). Data were stratified by year, sex, race/ethnicity, and geographical regions.

Between 1999 and 2020, AF-associated stroke contributed to 331,106 deaths among adults in this study population. Deaths occurred predominantly in medical facilities (43.2 %). The overall AAMR for AF-associated stroke decreased from 7.4 in 1999 to 6.4 in 2020, with an APC of -1.02 (p-value = 0.004). Additionally, AAMR showed a significant decline from 2015 to 2018 with an APC of -7.22 (p-value <0.000001), followed by a striking rise from 2018 to 2020 (APC: 4.98) (p-value = 0.0008). Women had slightly higher AAMR than men (men: 6.6; women: 7.1) (p value = 0.02). AAMRs varied among racial/ethnic groups, with Whites having the highest AAMR (7.4), followed by Blacks (5.4), American Indian or Alaska Natives (4.6), Asian or Pacific Islanders (4.5), and Hispanics (4.1). AAMRs decreased for all races except Blacks. Geographically, AAMRs ranged from 4.3 in Nevada to 11.9 in Vermont, with the Western region showing the highest mortality (AAMR: 7.9). Nonmetropolitan areas had slightly higher AAMRs than metropolitan areas, with both experiencing a decrease over the study period.

This analysis depicts significant demographic and geographic disparities in mortality rates attributed to stroke associated with AF. Targeted interventions and equitable healthcare access are crucial to mitigate these disparities and improve outcomes for this population.

Cardiovascular health is a crucial aspect of overall health. The aim of this study was to estimate the prevalence of cardiovascular risk factors among children and adolescents during the COVID-19 pandemic based on the Life's Essential 8 domains.

PubMed, Scopus and Web of Science were systematically searched until 24 February 2023. Studies had to meet the following criteria: (1) observational studies, (2) studies reporting proportion of selected risk factors, (3) studies involving children or adolescents, (4) studies that collected data during the COVID-19 pandemic and (5) studies with representative samples. The outcomes included were diet, physical activity, nicotine exposure, sleep health, obesity, dyslipidaemia, diabetes and elevated blood pressure.

Sixty-two studies with 1 526 173 participants from 42 countries were included. Of these, 41 studies were used in the meta-analyses. The overall pooled prevalence of risk factors in the behavioural domain was as follows: poor quality diet 26.69% (95% CI 0.00%-85.64%), inadequate physical activity 70.81% (95% CI 64.41%-76.83%), nicotine exposure 9.24% (95% CI 5.53%-13.77%) and sleep disorders 33.49% (95% CI 25.24%-42.28%). The overall pooled prevalence of risk factors in the health domain was as follows: obesity 16.21% (95% CI 12.71%-20.04%), dyslipidaemia 1.87% (95% CI 1.73%-2.01%), diabetes 1.17% (95% CI 0.83%-1.58%) and elevated blood pressure 11.87% (95% CI 0.26%-36.50%).

These results highlight the need for prevention strategies to maintain better cardiovascular health from an early age, particularly by increasing physical activity levels, sleep time and promoting the consumption of more fruits and vegetables.

We examined trends in prepregnancy obesity and gestational weight gain, with a focus on racial and ethnic differences, before and during the COVID-19 pandemic in South Carolina.

Hospital and emergency department discharge codes were linked to birth certificates. Prepregnancy obesity was defined as a body mass index (kg/m2) of 30 or higher. Gestational weight gain was defined as inadequate, adequate, or excessive based on the 2009 Institute of Medicine guidelines. A generalized linear model with a multinomial distribution and glogit link estimated the risk of inadequate weight gain and excessive weight gain with adequate weight gain as the reference group. The generalized linear model with a modified Poisson distribution and log link estimated prepregnancy obesity risk with nonobese as the reference group.

Our study included 306,344 full-term, singleton live births among 239,597 mothers from 2015 through 2021. The prevalence of inadequate weight gain increased across all racial and ethnic groups prepandemic (relative risk [RR] = 1.02; 95% CI, 1.01-1.02) and attenuated during the pandemic (RR = 0.99; 95% CI, 0.96-1.01). The prevalence of excessive weight gain was high and remained stable across all races and ethnicities before and during the pandemic. The prevalence of prepregnancy obesity increased across all racial and ethnic groups prepandemic; the prevalence after the start of the pandemic increased only among women of "other" races and ethnicities (RR = 1.12; 95% CI, 1.05-1.19) while attenuating among Hispanic, non-Hispanic Black, and non-Hispanic White women.

The COVID-19 pandemic did not alter trends of gestational weight gain; however, it did have a small effect on trends in prepregnancy obesity, with differential effects across racial and ethnic groups. The prevalence of prepregnancy obesity, inadequate weight gain, and excessive weight gain remains high among pregnant women in South Carolina. Obesity and weight gain are risk factors for many adverse maternal and infant pregnancy outcomes. Their high prevalence indicates the importance of developing effective weight management programs for women of childbearing age and pregnant women.

Little is known about how the COVID-19 situation affected weight development among Indonesian adolescents. This longitudinal study examined whether, and for whom, the COVID-19 situation affected weight outcomes over time among adolescents from private schools and higher socio-economic positions in Indonesia, where being overweight is a rather prevalent characteristic. This study specifically examined whether appetitive traits (i.e., emotional overeating, food responsiveness) as well as baseline zBMI, sex, and urban area could explain changes in zBMI.

At baseline, 411 adolescents from 5 private schools in Indonesia (53.3% males, Mage = 12.02 years, SD = 0.45) filled out questionnaires on appetitive traits and background characteristics. In addition, their height and weight were measured. Of these, 336 adolescents (81.8%) also participated at follow-up. At follow-up, height and weight were measured or reported. We used linear regression to analyze the association between predictors and interactions with zBMI.

The results showed a significant decrease in zBMI over time, with a lower average zBMI during COVID-19 compared to before COVID-19. Female adolescents and adolescents with higher baseline zBMI values particularly tended to show this zBMI decreasing pattern. We did not find statistically significant main effects of baseline emotional overeating, food responsiveness, and urban area or any interactions.

Indonesian adolescents appeared to decrease in terms of zBMI during COVID-19, particularly females and adolescents with higher pre-COVID-19 zBMI. Our findings suggest that (culturally-specific) contextual changes (i.e., less exposure to the Indonesian food environment at schools and more exposure to the home environment) might have a beneficial impact in terms of preventing overweight among Indonesian adolescents, particularly among those being more vulnerable (i.e., having higher baseline zBMI).

To study body mass index (BMI) changes among individuals aged 18-99 years with and without SARS-CoV-2 infection.

Using real-world data from the OneFlorida+ Clinical Research Network of the National Patient-Centered Clinical Research Network, we compared changes over time in BMI in an Exposed cohort (positive SARS-CoV-2 test between March 2020-January 2022), to a contemporary Unexposed cohort (negative SARS-CoV-2 tests), and an age/sex-matched Historical control cohort (March 2018-January 2020). BMI (kg/m2) was retrieved from objective measures of height and weight in electronic health records. We used target trial approaches to estimate BMI at start of follow-up and change per 100 days of follow-up for Unexposed and Historical cohorts relative to the Exposed cohort by categories of sex, race & ethnicity, age, and hospitalization status.

The study sample consisted of 249,743 participants (19.2% Exposed, 61.5% Unexposed, 19.3% Historical cohort) of whom 62% were women, 21.5% Non-Hispanic Black, 21.4% Hispanic and 5.6% Non-Hispanic other and had an average age of 51.9 years (SD: 18.9). At start of follow-up, relative to the Unexposed cohort (mean BMI: 29.3 kg/m2 [95% CI: 29.1, 29.4]), the Exposed (0.07 kg/m2 [95% CI; 0.01, 0.12]) had higher mean BMI and Historical controls (-0.20 kg/m2 [95% CI; -0.25, -0.15]) had lower mean BMI. Over 100 days, BMI did not change (0 kg/m2 [95% CI: -0.03, 0.03]) for the Exposed cohort, decreased (-0.04 kg/m2 [95% CI; -0.05, -0.02]) for the Unexposed cohort and increased (0.03 kg/m2 [95% CI; 0.01, 0.04]) for the Historical cohort. Observed differences in BMI at start of follow-up and over 100 days were consistent between Unexposed and Exposed cohorts for most subgroups, except at start of follow-up period among Males and those 65 years or older who had lower BMI among Exposed.

In a diverse real-world cohort of adults, mean BMI of those with and without SARS-CoV2 infection varied in their trajectories. The mechanisms and implications of weight retention following SARS-CoV-2 infection remain unclear.

Early identification of children at high risk of obesity can provide clinicians with the information needed to provide targeted lifestyle counseling to high-risk children at a critical time to change the disease course.

This study aimed to develop predictive models of childhood obesity, applying advanced machine learning methods to a large unaugmented electronic health record (EHR) dataset. This work improves on other studies that have (i) relied on data not routinely available in EHRs (like prenatal data), (ii) focused on single-age predictions, or (iii) not been rigorously validated.

A customized sequential deep-learning model to predict the development of obesity was built, using EHR data from 36,191 diverse children aged 0-10 years. The model was evaluated using extensive discrimination, calibration, and utility analysis; and was validated temporally, geographically, and across various subgroups.

Our results are mostly better or comparable to similar studies. Specifically, the model achieved an AUROC above 0.8 in all cases (with most cases around 0.9) for predicting obesity within the next 3 years for children 2-7 years of age. Validation results show the model's robustness and top predictors match important risk factors of obesity.

Our model can predict the risk of obesity for young children at multiple time points using only routinely collected EHR data, greatly facilitating its integration into clinical care. Our model can be used as an objective screening tool to provide clinicians with insights into a patient's risk for developing obesity so that early lifestyle counseling can be provided to prevent future obesity in young children.

A comprehensive understanding of the impact of the COVID-19 pandemic on childhood nutrition is crucial for devising effective mitigation strategies. However, existing knowledge regarding the pandemic's effect on childhood nutritional status remains limited. Furthermore, research focusing on young children aged 0-3 years is scarce.

Leveraging the outbreak that originated in Wuhan in Dec 2019, the epicenter of China's first and largest outbreak, and national survey and statistical yearbook data, this study conducted a natural experimental analysis with the consideration of geographical exposure, temporal exposure and survey cohort effects to investigate the pandemic's impacts on varying nutritional indicators of infants and toddlers aged 0-36 months. A comprehensive set of sensitivity analyses, robustness checks and falsification tests were conducted. The potential heterogeneities across socioeconomic and age groups were also examined.

The pandemic was robustly predictive of a higher weight-for-age z-score (WAZ) and length/height-for-age z-score (HAZ), and a lower likelihood of underweight. The effects of the pandemic on increasing WAZ and reducing underweight were more pronounced among children from economically disadvantaged backgrounds or aged 0-12 months. Additionally, the increasing HAZ was primarily among children from households with lower family income. Moreover, the pandemic was negatively linked to the body mass index (BMI)-for-age z-score (BAZ) of children residing in more developed cities, and positively linked to overweight/obesity among children aged 13-24 months.

This study adds to a more comprehensive understanding of the impact of the COVID-19 pandemic on childhood nutrition. Notably, the findings highlight that weight gain attributable to the pandemic was predominantly among vulnerable children from disadvantaged backgrounds and younger age groups, who were already at a higher risk of overweight/obesity before the pandemic. Consequently, our findings imply the necessity of greater caution to the widened gap in childhood malnutrition post-pandemic. Furthermore, the study emphasizes the importance of implementing adaptable strategies with the consideration of social justice to safeguard all children's right to optimal growth from exogenous shocks and to achieve the children-related SDGs by 2030.

To compare specific perinatal outcomes in nulliparas with a singleton infant in cephalic presentation at term, with and without exposure to the COVID-19 pandemic during pregnancy. We hypothesised that the pandemic conditions in Melbourne may have been an independent contributor to trends in maternal Body Mass Index ≥ 25 kg/m2, macrosomia and caesarean section.

Multi-centre retrospective cohort study and interrupted time-series analysis.

Metropolitan Melbourne, Victoria.

Singleton infants ≥ 20 weeks gestational age born between 1 January 2019 and 31 March 2022.

Rates of maternal Body Mass Index ≥ 25 kg/m2, macrosomia (birthweight ≥ 4000 g) and caesarean section.

25 897 individuals gave birth for the first time to a singleton infant in cephalic presentation at term in the pre-pandemic cohort, and 25 298 in the pandemic-exposed cohort. Interrupted time-series analysis demonstrated no significant additional effect of the pandemic on pre-existing upward trends in maternal Body Mass Index ≥ 25 kg/m2, caesarean section or macrosomia. The rate of maternal Body Mass Index ≥ 25 kg/m2 was higher in the pandemic-exposed cohort compared with the pre-pandemic cohort, (45.82% vs. 44.58% respectively, p = 0.041) as was the overall rate of caesarean section (33.09% vs. 30.80%, p < 0.001). However, this increase in caesarean section was confined to individuals who had either an induction of labour or no labour. There was also a nonsignificant trend to higher rates of macrosomia in the pandemic-exposed cohort compared with the pre-pandemic cohort (8.55% vs. 7.99% respectively, p = 0.124).

While rates of Body Mass Index ≥ 25 kg/m2, pre-labour caesarean section, and caesarean section following induction of labour were higher among pandemic-exposed nulliparas, these findings represented a continuation of pre-existing upward trends, with no significant independent contribution from the pandemic. These trends are forecast to continue, with long term implications for population health.

The study replicates a preliminary report from 2019 on therelationship between body image and persistence.

The aim of our study was to analyze the associations between body image, persistence, and body weight stereotypes.

A total of 750 individuals were recruited for the study. The research was carried out in computer labs. The procedure consisted of psychological questionnaires (Persistence Scale, The Body Esteem Scale, Perceived Weight Stigma Questionnaire, Weight Bias Internalization Scale, Hospital Anxiety and Depression Scale, Formal Characteristics of Behavior - Temperament Inventory, and NEO-PI-R) and The Maze Test (a computer tool). After completing the Simple Maze Test, saliva samples were collected. Next, the subjects proceeded to the laboratory where anthropometric and body composition measurements were taken. The hormone levels (cortisol and dehydroepiandrosterone) in the collected saliva samples were analyzed via ELISA to determine stress.

Body image and persistence are related variables. They are associated with the internalization of stereotypes and perceived stigma related to body weight. These associations are differentially shaped according to sex and the regularity of body weight. In women, a stronger association of these variables with body image was observed, while in men, the relationship with body image was weaker, with a stronger association shown by perceived weight-related stigma. In the group of participants with a BMI<18.5, there was no significant association between the internalization of stereotypes and the analyzed variables. This relationship appeared in the group of subjects with a normal body weight and was strongest in the group of participants who were overweight or obese. Perceived weight-related stigma was most strongly associated with body image in the group with BMI<18.5 kg/m2 and with persistence in the group with BMI>25 kg/m2.

Body-related stigma affects not only overweight and obese individuals and its mechanisms may be shaped differently.

Body measurements are primarily made with a tape measure. In measurements taken with a tape measure, the inability to take measurements from the same part of the body each time, incorrect positioning of the tape measure, the occurrence of incorrect measurements, and the need for a person to take the measurements are significant problems in the traditional measurement method. Due to the social distancing rule that must be followed during the Covid-19 pandemic, the close contact between the person to be measured and the person taking the measurement became the starting point of this study. This study focuses on the detecting body shape changes using image processing techniques with 2D imaging. The novelty of the work is that non-contact body measurements are taken more accurately and reliably using the cosine theorem. Regular monitoring of obese patients is important in combating obesity, which is also the source of many health problems. In the monitoring of obese patients, it is necessary to determine the rate of slimming in areas where fat accumulation is intense. The error margin between the real measurements of human models and the calculated measurements was calculated as an average of ± 5.16% for waistline and an average of ± 4.58% for hip size. The cosine theorem was used instead of the ellipse formula used in the literature, and it was observed that the cosine theorem obtained results closer to reality. It is also thought that the developed system will be beneficial not only for extracting body measurements but also for extracting body measurements contactless in the textile sector. The study demonstrates the feasibility of image processing for non-contact body anthropometry and shape tracking.

The discrepancy between the current perceived body image (BI) and beauty ideals leads to dissatisfaction, which is believed to be common among adolescents. This study aimed to investigate the stability in BI perceptions and dissatisfaction during early adolescence. Another aim was to highlight differences in dissatisfaction according to Body Mass Index (BMI) and inconsistencies in weight status perception.

Two hundred and nine participants (mean age at first survey: 11.33 ± 0.38 years) were enrolled in this longitudinal study with three years of follow-up. Data on size and BI perceptions were collected through individual interviews. Stature and weight were directly measured.

Findings indicated significant changes over three years in anthropometric traits but not in weight status prevalence or BI perception and dissatisfaction, except for the ideal figure in males and weight control in females. The results also indicated a significant difference in BI perception and dissatisfaction by BMI categories. Self-reported body measurements were found to be unreliable with a weak-to-moderate agreement between self-perceived and actual weight status.

BI perception appears quite stable across the three years considered. Dissatisfaction is similar in both genders, although a tendency toward different gender aesthetic ideals is already appreciable in early adolescence. We suggest that the lower frequency of normal-weight adolescents compared with peers in previous studies is attributable to the effects of the recent pandemic. Given the growing dissatisfaction with increasing BMI and misinterpretations of weight status, school actions to promote a healthy lifestyle and positive BI should be undertaken.