Obesity and weight change during the COVID-19 pandemic in children and adults: A systematic review and meta-analysis.

Many obesity risk factors have increased during the COVID-19 pandemic, including physical inactivity, poor diet, stress, and poverty. The aim of this systematic review was to evaluate the impact of the COVID-19 pandemic, as well as associated lockdowns or restrictions, on weight change in children and adults. We searched five databases from January 2020 to November 2021. We included only longitudinal studies with measures from before and during the pandemic that evaluated the change in weight, body mass index (BMI) (or BMI z-scores for children), waist circumference, or the prevalence of obesity. Random effects meta-analyses were conducted to obtain pooled estimates of the mean difference in outcomes. Subgroups were evaluated for age groups and diabetes or obesity at baseline. The risk of bias was assessed using a modified version of the Newcastle-Ottawa Scale, and the certainty of the evidence was assessed using the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) approach. A total of 74 studies were included (3,213,776 total participants): 31 studies of children, 41 studies of adults, and 2 studies of children and adults. In children, the pooled mean difference was 1.65 kg (95% confidence interval [CI]: 0.40, 2.90; 9 studies) for weight and 0.13 (95% CI 0.10, 0.17; 20 studies) for BMI z-scores, and the prevalence of obesity increased by 2% (95% CI 1%, 3%; 12 studies). In adults, the pooled mean difference was 0.93 kg (95% CI 0.54, 1.33; 27 studies) for weight and 0.38 kg/m2 (95% CI 0.21, 0.55; 25 studies) for BMI, and the prevalence of obesity increased by 1% (95% CI 0%, 3%; 11 studies). In children and adults, the pooled mean difference for waist circumference was 1.03 cm (95% CI -0.08, 2.15; 4 studies). There was considerable heterogeneity observed for all outcomes in both children and adults, and the certainty of evidence assessed using GRADE was very low for all outcomes. During the first year of the COVID-19 pandemic, small but potentially clinically significant increases in weight gain, BMI, and increased prevalence of obesity in both children and adults were observed. Increases were greater in children, and targeted prevention interventions may be warranted.

Income precarity and child and parent weight change during the COVID-19 pandemic: a cross-sectional analysis of the Ontario Parent Survey.

OBJECTIVES: To describe child and parent weight change during the pandemic, overall and by income precarity. DESIGN: A cross-sectional online survey was conducted. SETTING: Caregivers of children 0-17 years of age living in Ontario, Canada, during the COVID-19 pandemic from May 2021 to July 2021. PARTICIPANTS: A convenience sample of parents (n=9099) with children (n=9667) living in Ontario were identified through crowdsourcing. PRIMARY OUTCOME MEASURE: Parents recalled, for themselves and their child, whether they lost weight, gained weight or remained the same over the past year. OR and 95% CI were estimated using multinomial logistic regression for the association between income precarity variables and weight loss or gain, adjusted for age, gender and ethnicity. RESULTS: Overall, 5.5% of children lost weight and 20.2% gained weight. Among adolescents, 11.1% lost weight and 27.1% gained weight. For parents, 17.1% reported weight loss and 57.7% reported weight gain. Parent weight change was strongly associated with child weight change. Income precarity measures, including job loss by both parents (OR=7.81, 95% CI 5.16 to 11.83) and disruption to household food supply (OR=6.05, 95% CI 4.77 to 7.68), were strongly associated with child weight loss. Similarly, job loss by both parents (OR=2.03, 95% CI 1.37 to 3.03) and disruption to household food supply (OR=2.99, 95% CI 2.52 to 3.54) were associated with child weight gain. CONCLUSIONS: Weight changes during the COVID-19 pandemic were widespread and income precarity was strongly associated with weight loss and weight gain in children and parents. Further research is needed to investigate the health outcomes related to weight change during the pandemic, especially for youth, and the impacts of income precarity.

Early (years) reactions: comparative analysis of early childhood policies and programs during the first wave of the COVID-19 pandemic.

BACKGROUND: During the first wave of COVID-19 there was little evidence to guide appropriate child and family programs and policy supports. METHODS: We compared policies and programs implemented to support early child health and well-being during the first wave of COVID-19 in Australia, Canada, the Netherlands, Singapore, the UK, and the USA. Program and policy themes were focused on prenatal care, well-baby visits and immunization schedules, financial supports, domestic violence and housing, childcare supports, child protective services, and food security. RESULTS: Significant heterogeneity in implementation of OECD-recommended policy responses was found with all of the included countries implementing some of these policies, but no country implementing supports in all of the potential areas. CONCLUSIONS: This analysis gives insight into initial government reactions to support children and families, and opportunities for governments to implement further supportive programs and policies during the current pandemic and future emergencies.

Digital Interventions to Promote Healthy Eating in Children: Umbrella Review.

BACKGROUND: eHealth and web-based service delivery have become increasingly common during the COVID-19 pandemic. Digital interventions may be highly appealing to young people; however, their effectiveness compared with that of the usual face-to-face interventions is unknown. As nutrition interventions merge with the digital world, there is a need to determine the best practices for digital interventions for children. OBJECTIVE: The aim of this study is to examine the effectiveness of digital nutrition interventions for children on dietary outcomes compared with status quo interventions (eg, conventional face-to-face programming or nondigital support). METHODS: We conducted an umbrella review of systematic reviews of studies assessing primary research on digital interventions aimed at improving food and nutrition outcomes for children aged <18 years compared with conventional nutrition education were eligible for inclusion. RESULTS: In total, 11 systematic reviews published since 2015 were included (7/11, 64%, were of moderate quality). Digital interventions ranged from internet, computer, or mobile interventions to websites, programs, apps, email, videos, CD-ROMs, games, telehealth, SMS text messages, and social media, or a combination thereof. The dose and duration of the interventions varied widely (single to multiple exposures; 1-60 minutes). Many studies have been informed by theory or used behavior change techniques (eg, feedback, goal-setting, and tailoring). The effect of digital nutrition interventions for children on dietary outcomes is small and inconsistent. Digital interventions seemed to be the most promising for improving fruit and vegetable intake compared with other nutrition outcomes; however, reviews have found mixed results. CONCLUSIONS: Owing to the heterogeneity and duration of digital interventions, follow-up evaluations, comparison groups, and outcomes measured, the effectiveness of these interventions remains unclear. High-quality evidence with common definitions for digital intervention types evaluated with validated measures is needed to improve the state of evidence, to inform policy and program decisions for health promotion in children. Now is the time for critical, robust evaluation of the adopted digital interventions during and after the COVID-19 pandemic to establish best practices for nutrition interventions for children.