Family functioning and psychological distress in a sample of mental health outpatients: Implications for routine examination and screening

A cross-sectional analysis of gender and psychological well-being among older Taiwanese adults

Background

Psychological well-being (PWB) facilitates good health. Few studies have taken into consideration gender and how it can affect PWB within a sociocultural context. This study aims to determine if relationships between social, health, behavioral, and socioeconomic factors on PWB among older Taiwanese adults are affected by gender.

Methods

Data were obtained from the 2016 Taiwan Mental Health Survey. A representative sample, of 2,286 individuals, was created using multistage proportional probability. Participants were interviewed at their homes using a structured questionnaire. Inclusion criteria were Taiwanese citizenship, age ≥ 55 years, and the ability to provide informed consent. Participants 65 years and above were selected for the study sample n = 1,533. An 18-item version of Ryff's PWB scale was used to determine PWB. The median value was used to categorize low and high PWB. Logistic regression analyses were used to examine predictors of PWB stratified by gender.

Results

Chronic disease, unemployment, and financial dependence negatively impacted men's PWB. Satisfaction with living environment and family relationships positively impacted women's PWB. Unique characteristics of older men, women, and culture account for this.

Conclusion

Gender-specific interventions aimed at promoting PWB in older adults are needed. Recommendations include educational programs, social support workshops, and community engagement initiatives.

The Impact of Social Media Use on Mental Health and Family Functioning Within Web-Based Communities in Saudi Arabia: Ethnographic Correlational Study

BACKGROUND

In recent years, increasing numbers of parents, activists, and decision-makers have raised concerns about the potential adverse effects of social media use on both mental health and family functioning. Although some studies have indicated associations between social media use and negative mental health outcomes, others have found no evidence of mental health harm.

OBJECTIVE

This correlation study investigated the interplay between social media use, mental health, and family functioning. Analyzing data from 314 users, this study explores diverse mental health outcomes. The study places particular emphasis on the Saudi Arabian sample, providing valuable insights into the cultural context and shedding light on the specific dynamics of social media's impact on mental well-being and family dynamics in this demographic context.

METHODS

We collected data through a subsection of an anonymous web-based survey titled "The Effect of COVID-19 on Social Media Usage, Mental Health, and Family Functioning." The survey was distributed through diverse web-based platforms in Saudi Arabia, emphasizing the Saudi sample. The participants indicated their social media accounts and estimated their daily use. Mental health was assessed using the General Health Questionnaire and family functioning was evaluated using the Family Assessment Device Questionnaire. In addition, 6 mental health conditions (anxiety, self-esteem, depression, body dysmorphia, social media addiction, and eating disorders) were self-reported by participants.

RESULTS

The study demonstrates a pattern of frequent social media use, with a significant portion dedicating 3-5 hours daily for web-based activities, and most of the sample accessed platforms multiple times a day. Despite concerns about social media addiction and perceived unhealthiness, participants cited staying connected with friends and family as their primary motivation for social media use. WhatsApp was perceived as the most positively impactful, whereas TikTok was considered the most negative for our Saudi sample. YouTube, Instagram, and Snapchat users reported poorer mental health compared with nonusers of these platforms. Mental health effects encompassed anxiety and addiction, with age and gender emerging as significant factors. Associations between social media use and family functioning were evident, with higher social media quartiles correlating with a greater likelihood of mental health and unhealthy family functioning. Logistic regression identified age and gender as factors linked to affected mental health, particularly noting that female participants aged 25-34 years were found to be more susceptible to affected mental health. In addition, multivariable analysis identified age and social media use quartiles as factors associated with poor family functioning.

CONCLUSIONS

This study examined how social media affects mental health and family functioning in Saudi Arabia. These findings underscore the need for culturally tailored interventions to address these challenges, considering diverse demographic needs. Recognizing these nuances can guide the development of interventions to promote digital well-being, acknowledging the importance of familial connections in Saudi society.

The relationship between social media addiction, fear of missing out and family functioning: a structural equation mediation model

BACKGROUND

The use of social media became a daily activity for many individuals, with recreational, informational, and social purposes, to name a few. However, for some subjects, the use of these platforms may become problematic and generate functioning impairments in many life areas. Given this, the present research aimed at investigating the factor that may contribute to Social Media Addiction, by focusing on Fear of Missing Out and Family Functioning Patterns.

METHODS

A sample of 303 social media users (Mage = 35.29; SD = 14.87; 65% females, 35% males) completed a survey including the Bergen Social Media Addiction Scale, Family Adaptability and Cohesion Evaluation Scales-IV, and Fear of Missing Out Scale. Data were analysed by implementing Pearson correlation and testing a mediation with the Structural Equation Model approach.

RESULTS

Cohesion, flexibility, and disengagement family functioning patterns were significantly associated with the levels of social media addiction. These dimensions were inserted in the structural equation model, where the full mediation of fear of missing out in their relationship with social media addiction was shown.

CONCLUSIONS

The data showed the protective effect of flexible and cohesive family functioning patterns, as well as the role of disengagement and, sequentially, fear of missing out as risk factors. These findings may provide useful indications to elaborate tailored and effective therapeutic and preventive activity.