Parental language input influences child language outcomes but may vary based on certain characteristics. This research examined how parental language differs during two contexts for toddlers at varying likelihood of autism based on their developmental skills. Parental language (quantity, quality, and pragmatic functions) was analyzed during dyadic play and mealtime interactions as a secondary data analysis of observational data from a study of toddlers at elevated and lower likelihood of autism. Child developmental skills and sensory processing were also assessed. Parents used more words per minute, directives, and verbs during play and more adjectives, descriptions, and questions during mealtime. Parental language differed based on child fine motor skills, receptive language, and levels of sensory hyporesponsiveness but not autism likelihood. Overall, this study found that parental language varies based on context and child developmental skills. Future research examining parental language should include pragmatic functions and context across developmental trajectories.

Evidence suggests that differences in meal timing between weekends and weekdays can disrupt the body’s circadian rhythm, leading to a higher BMI. We aimed to investigate the associations between mealtime variation from weekdays to weekends (eating midpoint jetlag), dietary intake and anthropometric parameters, based on individuals’ chronotype. The study utilised data from National Health and Nutrition Examination Survey 2017–2018. Food consumption was estimated by weighted average of participants’ food intake on weekdays and weekends. Eating midpoint jetlag, defined as the difference between the midpoint of the first and last mealtimes on weekends and weekdays, was calculated. Chronotype was assessed by participants’ mid-sleep time on weekends, adjusted for sleep debt. Linear regression analysis was conducted to investigate the associations between variables. The sample was categorised into chronotype tertiles. Among individuals in the third chronotype tertile, there was a positive association between eating midpoint jetlag and BMI (β = 1·2; 95 % CI (1·13, 1·27)). Individuals in the first tertile showed a positive association between eating midpoint jetlag and energy (β = 96·9; 95 % CI (92·9, 101·7)), carbohydrate (β = 11·96; 95 % CI (11·2, 12·6)), fat (β = 3·69; 95 % CI (3·4, 3·8)), cholesterol (β = 32·75; 95 % CI (30·9, 34·6)) and sugar (β = 8·84; 95 % CI (8·3, 9·3)) intake on weekends. Among individuals with an evening tendency, delaying meals on weekends appears to be linked to a higher BMI. Conversely, among individuals with a morning tendency, eating meals later on weekends is associated with higher energetic intake on weekends.

Sleep hygiene recommendations discourage eating before bedtime; however, the impact of mealtime on sleep has been inconsistent. We examined gender-stratified associations between eating or drinking <1, <2 and <3 h before bedtime, sleep duration and wake after sleep onset (WASO >30 min). This study utilised 2003–2018 data from the American Time Use Survey, a nationally representative sample of USA residents aged ≥15 years. Participants recorded weekday/weekend activities during a 24-h period. Age-specific sleep duration and WASO were estimated categorically and continuously. Eating or drinking were identified from all activities recorded <1, <2 and <3 h before bedtime. Mean ± se sleep duration was 8·0 ± 0·006 h, and 6% of participants ate or drank <1 h prior to weekdays bedtime. Overall, eating or drinking <1 h prior to bedtime was associated with longer weekdays sleep duration. Women and men who ate or drank <1 h before bedtime, v. those who did not, had 35 min (95% CI (30,39)) and 25 min (95 % CI (21,29)) longer sleep duration, respectively, as well as increased odds of WASO; women (OR=2·03, 95% CI (1·66,2·49)) and men (OR=2·64, 95% CI (2·08,3·36)). As the interval of eating or drinking prior to bedtime expanded, odds of short and long sleep durations and WASO decreased. This population-based data linked eating or drinking <1 h before bedtime to longer sleep duration, but increased WASO. Eating or drinking further from bedtime lowers the odds of short and long sleep duration and WASO. Causal pathways are difficult to discern, though inefficient sleep after late-night eating could increase WASO and trigger compensatory increases in sleep duration.

Children with CHD often experience difficulty with oral feeding, which contributes to growth faltering in this population. Few studies have explored symptoms of problematic feeding in children with CHD using valid and reliable measures of oral feeding. The purpose of this study was to describe symptoms of problematic feeding in children with CHD compared to healthy children without medical conditions, taking into account variables that may contribute to symptoms of problematic feeding. Oral feeding was measured by the Pediatric Eating Assessment Tool, a parent report assessment of feeding with evidence of validity and reliability. This secondary analysis used data collected from web-based surveys completed by parents of 1093 children between 6 months and 7 years of age who were eating solid foods by mouth. General linear models were used to evaluate the differences between 94 children with CHD and 999 children without medical conditions based on the Pediatric Eating Assessment Tool total score and four subscale scores. Covariates tested in the models included breathing tube duration, type of CHD, gastroesophageal reflux, genetic disorder, difficulty with breast- or bottle-feeding during infancy, cardiac surgery, and current child age. Children with CHD had significantly more symptoms of problematic feeding than healthy children on the Pediatric Eating Assessment Tool total score, more physiologic symptoms, problematic mealtime behaviours, selective/restrictive eating, and oral processing dysfunction (p <0.001 for all), when taking into account relevant covariates. Additional research is needed in children with CHD to improve risk assessment and develop interventions to optimise feeding and growth.

This review will describe the evidence for changing the hospital environment to improve nutrition of older people, with particular emphasis on the role of additional mealtime assistance. Poor nutrition among older people in hospital is well recognised in many countries and is associated with poor outcomes of hospital care including increased mortality and longer lengths of stay. Factors recognised to contribute to poor dietary intake include acute illness, co-morbidities, cognitive impairment, low mood and medication. The hospital environment has also been scrutinised with reports from many countries of food being placed out of reach or going cold because time-pressured ward and catering staff often struggle to help an increasingly dependent group of patients at mealtimes. Routine screening in hospital for people at risk of under nutrition is recommended. Coloured trays and protected mealtimes are widespread although there is relatively little evidence for their impact on dietary intake. Volunteers can be trained to sfely give additional mealtime assistance including feeding to older patients on acute medical wards. They can improve the quality of mealtime care for patients and nursing staff although the evidence for improved dietary intake is mixed. In conclusion, improving the nutrition of older patients in hospital is challenging. Initiatives such as routine screening, the use of coloured trays, protected mealtimes and additional mealtime assistance can work together synergistically. Volunteers are likely to be increasingly important in an era when healthcare systems are generally limited in both financial resources and the ability to recruit sufficient nursing staff.