To explore best practices and challenges in providing school meals during COVID-19 in a low-income, predominantly Latino, urban–rural region.

Semi-structured interviews with school district stakeholders and focus groups with parents were conducted to explore school meal provision during COVID-19 from June to August 2020. Data were coded and themes were identified to guide analysis. Community organisations were involved in all aspects of study design, recruitment, data collection and analysis.

Six school districts in California’s San Joaquin Valley.

School district stakeholders (n 11) included food service directors, school superintendents and community partners (e.g. funders, food cooperative). Focus groups (n 6) were comprised of parents (n 29) of children participating in school meal programmes.

COVID-19-related challenges for districts included developing safe meal distribution systems, boosting low participation, covering COVID-19-related costs and staying informed of policy changes. Barriers for families included transportation difficulties, safety concerns and a lack of fresh foods. Innovative strategies to address obstacles included pandemic-electronic benefits transfer (EBT), bus-stop delivery, community pick-up locations, batched meals and leveraging partner resources.

A focus on fresher, more appealing meals and greater communication between school officials and parents could boost participation. Districts that leveraged external partnerships were better equipped to provide meals during pandemic conditions. In addition, policies increasing access to fresh foods and capitalising on United States Department of Agriculture waivers could boost school meal participation. Finally, partnering with community organisations and acting upon parent feedback could improve school meal systems, and in combination with pandemic-EBT, address childhood food insecurity.

To assess parental awareness of per-meal energy (calorie) recommendations for children’s restaurant meals and to explore whether calorie awareness was associated with parental sociodemographic characteristics and frequency of eating restaurant food.

Cross-sectional online survey administered in July 2014. Parents estimated calories (i.e. kilocalories; 1 kcal=4·184 kJ) recommended for a child’s lunch/dinner restaurant meal (range: 0–2000 kcal). Responses were categorized as ‘underestimate’ (<400 kcal), ‘accurate’ (400–600 kcal) and ‘overestimate’ (>600 kcal). Confidence in response was measured on a 4-point scale from ‘very unsure’ to ‘very sure’. Logistic regressions estimated the odds of an ‘accurate’ response and confident response (‘somewhat’ or ‘very sure’) by parental sociodemographic characteristics and frequency of eating from restaurants. Sampling weights based on demographics were incorporated in all analyses.

USA.

Parents (n 1207) of 5–12-year-old children.

On average, parents estimated 631 (se 19·4) kcal as the appropriate amount for a 5–12-year-old child’s meal. Thirty-five per cent answered in the accurate range, while 33·3 and 31·8 % underestimated and overestimated, respectively. Frequent dining at restaurants, lower income and urban geography were associated with lower odds of answering accurately. Parents’ confidence in their estimates was low across the sample (26·0 % confident) and only 10·1 % were both accurate and confident.

Parent education about calorie recommendations for children could improve understanding and use of menu labelling information in restaurants. Targeted strategies are recommended to ensure that such efforts address, rather than exacerbate, health disparities.

The Crunch&Sip programme is a school-based nutrition initiative designed to increase the fruit, vegetable and water intakes of primary-school children. In recognition of the notable deficits in children’s vegetable consumption, the present study explored the receptivity of school staff to a realignment of the Crunch&Sip programme to feature a primary focus on vegetable consumption. This involved investigating school staff members’ perceptions of relevant barriers, motivators and facilitators.

A multi-method approach was adopted that involved four focus groups and a survey (administered in paper and online formats) containing a mixture of open- and closed-ended items.

Western Australia.

Staff from Western Australian schools participated in the focus groups (n 37) and survey (n 620).

School staff were strongly supportive of modifying the Crunch&Sip programme to focus primarily on children’s vegetable consumption and this was generally considered to be a feasible change to implement. Possible barriers identified included children’s taste preferences and a perceived lack of parental support. Suggested strategies to overcome these barriers were education sessions for parents and children, teachers modelling vegetable consumption for their students and integrating vegetable-related topics into the school curriculum.

School staff are likely to support the introduction of school-based nutrition programmes that specifically encourage the consumption of vegetables. Potential barriers may be overcome through strategies to engage parents and children.

To assess the possible associations between physical activity, diet, social state and overweight in children.

Crossectional study on 1468 children aged between 5 and 7 years old in Kiel, northwest Germany.

Assessment of physical activity and social factors by a questionnaire, food frequency record, body composition analysis by anthropometrics and bioelectrical impedance analysis.

23% of our children were overweight or obese. Low levels of physical activity (as assessed by TV viewing time) were associated with increased body mass index and a higher prevalence of overweight. TV-viewing of more than 1 h per day was associated with a high consumption fast food, sweets, chips and pizza whereas fruits and vegetables were less frequently consumed. Overweight, inactivity and unhealthy eating habits were seen more frequently in families with a low social status.

In 5 to 7 years old children, overweight is associated with physical inactivity, unhealthy eating habits and a low social status. Primary prevention efforts should be directed to low income families.

To assess relationships between TV viewing and body composition, energy expenditure, physical activity, fitness and nutrition habits in prepubertal children.

Cross-sectional study.

Sixty prepubertal children (mean body mass index: 20.8 kg m−2, age: 5–11 years, overweight: n=52, normal weight: n=8).

TV consumption, socio-economic status (SES) and nutrition habits were estimated by questionnaires. Fat mass and fat-free mass were assessed by anthropometrics and bioelectrical impedance analysis, and resting energy expenditure by indirect calorimetry. Total energy expenditure was measured by a combination of indirect calorimetry and individually calibrated 24-hour heart rate (HR) monitoring. Activity-related energy expenditure and physical activity level were calculated. Aerobic fitness (VO2 submax) was determined by ergometry, muscle strength (musculus quadriceps, musculus ischiocruralis) was measured by computer tensiometry. Children were stratified according to their daily TV consumption: <=1 h of TV per day (group I) and >1 h of TV per day (group II).

When compared with children of group I, children of group II had increased body weight, body mass index, skinfolds, fat mass and prevalence of overweight (P<0.05 and <0.01, respectively). By contrast, fat-free mass, energy expenditure, measures of physical activity and muscle strength were similar. Children of group II had normal absolute VO2 submax but reduced adjusted VO2 submax (P<0.05). They also had parents with a lower educational level (P<0.05). Similar nutritional habits were observed in both groups. There were no significant differences in the observed parameters between children with high (1–3 h day−1) and very high (>3 h day−1) TV viewing.

There is a positive relationship between TV viewing and fatness. Increased TV viewing does not reflect reduced 24-hour energy expenditure as assessed by 24-hour HR monitoring, submaximal VO2, muscle strength or poor dietary intake. Increased TV consumption is associated with a low SES.