Effectiveness of Interventions Promoting Dietary Intake, Physical Activity, and Healthy Weight Status of Children in Family Child Care: A Systematic Review.

INTRODUCTION: This systematic review examines the effectiveness of interventions in family child care (FCC) on (1) children's dietary intake, physical activity levels and weight, and (2) FCC health-promoting environments, policies, and practices. Quasi-experimental studies measuring these outcomes were included. METHODS: All available articles up to July 2023 were searched using MEDLINE, ERIC, CINAHL, Embase, Scopus, and A+ Education, and 15 interventions were included. Methodological quality was assessed with the Effective Public Health Practice Project Assessment tool. RESULTS: Thirteen studies were weak, and 2 strong in quality. Four interventions included children's dietary intake as an outcome measure, 2 included physical activity, and 3 weight status. Twelve interventions assessed nutrition and 7 physical activity environmental outcomes. DISCUSSION: Interventions in FCC improved children's dietary intake, but their impact on physical activity and weight status was inconclusive. Furthermore, positive impacts were observed in environmental outcomes related to nutrition, whereas research on physical activity environmental outcomes was limited. IMPLICATIONS FOR RESEARCH AND PRACTICE: Future research could replicate interventions to validate effectiveness and understand positive outcome mechanisms. Future interventions might use FCC stakeholders' input, incorporate innovative physical activity components, enhance FCC providers' position as role models, involve parents, and target those groups that are at a high risk of being obese.

What methods are used to examine representation of mental ill-health on social media? A systematic review.

There has been an increasing number of papers which explore the representation of mental health on social media using various social media platforms and methodologies. It is timely to review methodologies employed in this growing body of research in order to understand their strengths and weaknesses. This systematic literature review provides a comprehensive overview and evaluation of the methods used to investigate the representation of mental ill-health on social media, shedding light on the current state of this field. Seven databases were searched with keywords related to social media, mental health, and aspects of representation (e.g., trivialisation or stigma). Of the 36 studies which met inclusion criteria, the most frequently selected social media platforms for data collection were Twitter (n = 22, 61.1%), Sina Weibo (n = 5, 13.9%) and YouTube (n = 4, 11.1%). The vast majority of studies analysed social media data using manual content analysis (n = 24, 66.7%), with limited studies employing more contemporary data analysis techniques, such as machine learning (n = 5, 13.9%). Few studies analysed visual data (n = 7, 19.4%). To enable a more complete understanding of mental ill-health representation on social media, further research is needed focussing on popular and influential image and video-based platforms, moving beyond text-based data like Twitter. Future research in this field should also employ a combination of both manual and computer-assisted approaches for analysis.

The Association of Demographic Characteristics and Food Choice Motives with the Consumption of Functional Foods in Emerging Adults.

The functional food market is one of the fastest growing segments of the global food industry. The aims of this study were to understand the association of demographic characteristics and food choice motives (FCMs) with (a) attitudes toward functional foods and (b) consumption of functional foods in Australian emerging adults. Data were collected through a paper-based and online questionnaire completed by 370 young adults aged between 17 and 29 years. A binomial logistic regression was used to determine the association between demographic characteristics and FCMs with attitudes towards functional foods. The logistic regression model was statistically significant at χ2(11) = 48.310 (p < 0.001) and explained 18.1% of the variance in attitude towards functional food. Of the several predictors, only the FCMs natural content and weight control were statistically significant. A binomial logistic regression was also used to determine the association between demographic characteristics and FCMs with the consumption of functional foods. The logistic regression model was statistically significant at χ2(9) = 37.499 (p < 0.001) and explained 14.1% of the variance in functional food consumption. Of the eight predictors, three were statistically significant: living situation, natural content and health. Findings highlight that when targeting emerging adults, functional food companies could benefit from promoting the natural and health properties of their products. Furthermore, consumption can be increased by targeting the parents of emerging adults and by designing functional foods that attract emerging adults interested in controlling weight.