The impact of social networking sites use on health-related outcomes among UK adolescents

Relationships between social networking sites use and subjective well-being--- a meta-analysis and meta-analytic structural equation model

During the last decade, the amount of research on the relationship between social networking sites (SNS) use and users' subjective well-being (SWB) has increased, leading to discrepancies regarding the results. Our review of the literature generated 73 independent samples and indicated that considerable inconsistent results may be attributed to different measurements of SNS use, moderation effects, or media response states and their effects. In this study, meta-analytic procedures were used to assess the strength of the relationships between SNS use indicators, perceived social support (PSS), self-esteem and SWB. The results showed that PSS and self-esteem had stronger effects on SWB than SNS use indicators. Furthermore, a meta-analytic structural equation model was conducted to assess the strength of the relationships between SNS use indicators, PSS, self-esteem, and SWB. The results did not support the proposition SNS use is associated with SWB. Compared with SNS use indicators, media response states such as self-esteem and PSS, had more effects on SWB.

The Impact of Social Media Influencers on Food Consumption in Saudi Arabia, a Cross-Sectional Web-Based Survey

Background

Previous studies investigating the impact of social media influencers on food consumption are limited. Therefore, this study explores the influence of social media on people’s health choices to understand the consequences of food consumption among the Saudi community.

Patients and Methods

A cross-sectional study using an online survey was conducted in Saudi Arabia between 24 June and 20 July 2021. A convenience sample of eligible participants was used to recruit the study participants. A 32-items questionnaire was distributed via social media platforms (Facebook, Twitter, Snapchat, and Instagram). In addition, significant predictors of people being affected by social media to change diet and living with obesity were determined using binary logistic regression.

Results

A total of 1124 participants were involved in this study. More than half of them (57.8%) were females and aged below 40 years (57.4%). The study participants’ median body mass index (BMI) was 27.4 kg/m² (IQR: 23.5–32.5). Around one-third of the study participants (36.6%) reported following influencers on social media. The median attitude score for the study participants was 15.00 (IQR: 1.00–27.00) out of 72, equal to 20.8%, which highlights that social media influence the diet of around one-fifth of the study participants. Males were less likely to be affected by social media than females (OR: 0.51; (95% CI: 0.40–0.65). Participants with obesity and participants who had tried a diet to lose weight were more likely to be affected by social media, with odds ratios of 2.14, and 4.83, respectively. Followers of social media influencers were 10-folds more likely to be affected by social media than others.

Conclusion

This study showed that social media might influence the food consumption manner in the Saudi population.

Exploring the Linkages of Digital Food Communication and Analog Food Behavior: A Scoping Review

The linkages of digital food communication on social media platforms and analog food behavior of social media users are widely discussed in media and research, but less differentiated. Due to the interdisciplinary nature of the research field, the scientific studies are characterized by great heterogeneity in approaching the role of communication and modelling of food behavior, and thus also the conclusions on how digital food communication might be linked to analog food behavior. There is still much uncertainty regarding the relationship and underlying assumptions between digital communication and analog action. The rationale of this scoping review is to systematically summarize the findings of this heterogeneous body of knowledge. The importance and originality of this review are that it focuses explicitly on studies that provide insights into the nexus of digital food communication and analog food behavior, be it in the theoretical foundation, the results, or their interpretation. It draws on a socio-ecological model of food behavior that depicts food behavior variables in different domains and uses a differentiated categorization of food behavior (food choice, dietary intake, and eating behavior) to synthesize the results. Using the Web of Science and PubMed databases, 267 abstracts were identified and screened, of which 20 articles met the inclusion criteria and were selected for full-text analysis. The review offers some important insights on how different variables of the socio-ecological model of food behavior are related to digital food communication and different areas of analog food behavior. This review provides a more discerning understanding of which aspects of analog food behavior may be linked to social media food communication and in which ways. Implications are derived to reflect the role of communication in previous models of food behavior by adding a more nuanced and cross-cutting understanding of food communication.

Dietary diversity score and associated factors among high school adolescent girls in a selected school of Yeka Sub-city, Addis Ababa

Introduction:

Adequate dietary intake is critical for modification of eating behavior and provides nutrients required for growth particularly among adolescents. The evidence revealed the variation and unrelated data on the prevalence of dietary diversity among adolescent girls in Ethiopia.

Objective:

To assess the magnitude of dietary diversity and associated factors among high school adolescent girls at the selected school of Yeka Sub-city, Addis Ababa, Ethiopia 2021.

Methods:

A cross-sectional study was conducted in high schools of the Yeka sub-city. Self-administered questionnaires were used to collect data. Data were analyzed using SPSS and the characteristics of the study participants were reported using descriptive statistics. A logistic regression model was fitted to identify factors associated with dietary diversity.

Result:

The mean score of dietary diversity was 4.9 ± 1.47 with a response rate of 97.2% among a proposed number of participants. The dietary diversity score is high in 56.7% and low among 43.3% of adolescents. Stayed a long time on social media (adjusted odds ratio = 2.6), school type (adjusted odds ratio = 6.5), educational status of mother (adjusted odds ratio = 8.7), consuming more sweet food (adjusted odds ratio = 3.6), occupation of the mother (adjusted odds ratio = 2.3), household security (adjusted odds ratio = 2.3), and fear of obese/worried about shape (adjusted odds ratio = 5.0) were statistically associated with low dietary diversity score.

Conclusion:

The finding of the study revealed that the magnitude of low dietary diversity among adolescent girls was found to be high. Long time social media usage, school type, educational status of the mother, consuming more sweet food, occupation of mother, household food security, and fear of obese/worried about shape were statistically associated with dietary diversity score.

How Does Adolescents' Usage of Social Media Affect Their Dietary Satisfaction?

In order to improve the health status of adolescents, studies are needed to illuminate the essence of their general and dietary lifestyle. Thus, we conducted this study to verify meaningful relationships between adolescent usage of social media (USM), which plays an important role in their life, their food consumption behavior (FCB), and their dietary satisfaction. This study used two analysis methods: t-tests and structural equation modeling (SEM). This study verified whether there was a significant difference in adolescent FCB depending on their USM using t-tests. This study proposes that the following FCBs showed significant differences between users and non-users of social media in adolescents: a tendency to try new types of food (t = 2.134, p < 0.05), a tendency to avoid foods with harmful risks such as suspected spoilage (t = 3.513, p < 0.001), a tendency to eat bread or fruit for a simple breakfast (t = −3.893, p < 0.001), and a tendency to often use home meal replacements (HMR), eat out or have food delivered (t = −3.245, p < 0.01). Furthermore, this study used SEM to verify the causal relationship between adolescent USM and their dietary satisfaction. According to the results of SEM, adolescents’ USM mediated by the FCB of preferring convenience fully mediates the negative relationship between adolescent USM and their dietary satisfaction (p < 0.01). It is necessary to reverse the situation in which adolescent dietary satisfaction decreases as their FCB of preferring convenience increases. Government regulations for food companies and autonomous efforts for quality improvements on their part are needed.

Healthy Food on Instagram Social Network: Vegan, Homemade and Clean Eating

Social media platforms have become part of many people's lives. Users are spending more and more time on these platforms, creating an active and passive digital footprint through their interaction. This footprint has high research potential in many research areas because understanding people's communication on social media is essential in understanding their values, attitudes, experiences and behaviors. Researchers found that the use of social networking sites impacts adolescents' eating behavior. If we define adolescents as individuals between ages 10 and 24 (WHO's definition), 76% of USA young people at age 18-⁠24 use Instagram, so the Instagram social network analysis is important for understanding young people's expressions in the context of healthy food. This study aims to identify the main topic associated with healthy food on the Instagram social network via hashtag and community analysis based on 2,045,653 messages created by 427,936 individual users. The results show that users most associate Healthy food with healthy lifestyle, fitness, weight loss and diet. In terms of food, these are foods that are Vegan, Homemade, Clean and Plant-based. Given that young people change their behavior in relation to people's behavior on social networks, it is possible to use this data to predict their future association with healthy food characteristics.