There is low-quality evidence for the effects of nutrition support on mortality and serious adverse events. Based on the results of our review, it does not appear to lead to a risk ratio reduction of approximately 10% or more in either all-cause mortality or serious adverse events at short-term and long-term follow-up.There is very low-quality evidence for an increase in weight with nutrition support at the end of treatment in hospitalised adults determined to be at nutritional risk. The effects of nutrition support on all remaining outcomes are unclear.Despite the clinically heterogenous population and the high risk of bias of all included trials, our analyses showed limited signs of statistical heterogeneity. Further trials may be warranted, assessing enteral nutrition (tube-feeding) for different patient groups. Future trials ought to be conducted with low risks of systematic errors and low risks of random errors, and they also ought to assess health-related quality of life.
Background Sleep is essential for child and adolescent health and well-being. There is an increasing interest in whether electronic media use affects children and young adolescents’ sleep. Prior reviews have focused on a school-aged population. Moreover, it is crucial that research continuously addresses the processes of technology and media use and the implication on sleep. This systematic review examines the evidence of electronic media use related to sleep among 0–15-year-olds. Methods Searches were carried out in four databases (CINAHL, Web of Science, EMBASE, and Medline). Inclusion criteria included age ≤ 15 years, and intervention, cohort, or cross-sectional studies from western countries. Methodological quality was rated using the Quality Assessment Tool for Quantitative Studies by two independent reviewers. Data was extracted using a standardized data extraction form. Synthesis was done by summarizing results across studies by age groups of 0–5, 6–12, and 13–15 years within four sleep domains: Bedtime and sleep onset; Sleep quality; Sleep duration; Daytime tiredness. Results The search identified 10,719 unique studies, of which 109 fulfilled inclusion and exclusion criteria and were assessed for methodological quality. In total, 49 studies were included in the review. The study designs were randomized controlled trials (n = 3), quasi-experimental studies (n = 2), prospective cohort studies (n = 15), and cross-sectional studies (n = 29). Evidence for an association between electronic media use and sleep duration was identified, with stronger evidence for 6–15-years-olds than 0–5-year-olds. The evidence for a relationship between electronic media use and other sleep outcomes was more inconclusive. However, for 6–12-year-old children, there was evidence for associations of electronic media use with delayed bedtime and poor sleep quality. For 13–15-year-olds, there was evidence for associations between screen time and problems falling asleep, and between social media use and poor sleep quality. Conclusions Overall, electronic media use was generally associated with shorter sleep duration in children and adolescents. Studies with stronger research design and of higher quality are needed to draw solid conclusions about electronic media’s impact on other sleep outcomes. Public awareness and interventions could be promoted about the potential negative impact on children’s sleep of electronic media devices that are used excessively and close to bedtime.
No specific interventions could be recommended on the aforementioned basis. We conclude that a number of factors are of central importance for an intervention to have the desired effect. If these factors are considered, mental health can be successfully promoted among older adults.
Aims: There are well-known gender differences in smoking, including the pattern of use and the effectiveness of smoking prevention programs. However, little is known about the differences between boys and girls in their attitudes towards smoking prevention interventions. This study explores gender differences in attitudes towards a school-based intervention to prevent smoking. Methods: We used data from the X:IT II intervention study conducted in 46 Danish elementary schools. Results: Compared to boys, girls were more positive towards smoke-free school time, both concerning rules for teachers smoking (odds ratio (OR) = 1.69, 95% confidence interval (CI): 1.35–2.12) and for students smoking (OR = 1.41, 95% CI: 1.13–1.76). No difference was observed in students signing the smoke-free agreement. However, a larger proportion of girls reported that the agreement was a good occasion to talk about smoking with their parents (OR = 1.36, 95% CI: 1.13–1.76). Girls were also more positive towards the smoke-free curriculum (OR = 1.52, 95% CI: 1.19–1.94). Conclusions: This study showed that girls were, overall, more positive towards the components of the smoking preventive intervention. Our findings highlight the importance of considering differences in intervention preferences for boys and girls in future health prevention initiatives.
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