Addictive Potential of Social Media: A Cross Sectional Study in Portugal.

INTRODUCTION: The use of social media is an extremely popular activity, with an average time spent of two and a half hours daily. The number of users continues to rise, with 4.65 billion around the world in 2022, approximately 58.7% of the world population. A rising number of studies show that a minority of these persons will develop a behavioral addiction on social media. The aim of this study was to understand if the use of a specific social media platform predicts increased addictive potential. MATERIAL AND METHODS: A cross-sectional sample of 300 persons (aged 18 years-old or older, 60.33% female), completed an online survey including sociodemographic questions, data regarding the use of social media and the Bergen Social Media Addiction Scale (BSMAS). Linear and logistic regression models were performed to determine the risk for each media platform. RESULTS: Instagram® use was a significant predictor of higher scores on the BSMAS (B 2.51; p < 0.0001; CI 1.33 - 3.69). The use of other platforms including Facebook® (B -0.31), Twitter® (B 1.38) and Pinterest® (B -0.15) was not found to predict a higher risk of social media addiction. CONCLUSION: Instagram® scored a higher grade in BSMAS scale, with statistical significance, which could suggest a higher addictive potential. More research is needed to establish the direction of this relationship, since the cross-sectional study design does not allow inferences about directionality.

Introdução: A utilização de redes sociais é uma atividade bastante popular nos dias de hoje, com um tempo médio de utilização diária de duas horas e meia. O número de utilizadores continua a aumentar, perfazendo 4,65 mil milhões em 2022, aproximadamente 58,7% da população mundial. Um número crescente de estudos mostra que uma minoria destes utilizadores irá desenvolver uma adicção comportamental às redes sociais. O objetivo deste estudo é compreender se o uso de uma plataforma de rede social específica é um preditor de maior potencial adictivo. Material e Métodos: Uma amostra de 300 pessoas (idade igual ou superior a 18 anos, 60,33% sexo feminino), completou um questionário online, com fatores sociodemográficos, dados acerca do uso de redes sociais e a Bergen Social Media Addiction Scale (BSMAS). Foram feitas análises de regressão linear e logística para determinar o potencial de adicção de cada plataforma. Resultados: A utilização do Instagram® foi um preditor significativo para pontuações mais altas na BSMAS (B 2,51; p < 0,0001; CI 1,33 - 3,69). O uso de outras plataformas, incluindo o Facebook® (B -0,31), o Twitter® (B 1,38) e o Pinterest® (B -0,15) não pareceu ser um preditor de maior risco adictivo Conclusão: O Instagram® atingiu uma maior classificação na BSMAS, com significância estatística, o que pode sugerir um maior potencial adictivo. É necessária mais investigação para estabelecer a direção desta relação, visto que o desenho transversal não permite inferências sobre a direccionalidade.

MAternal Mental Health in the WORKplace (MAMH@WORK): A Protocol for Promoting Perinatal Maternal Mental Health and Wellbeing.

Women are exposed to increased burden of mental disorders during the perinatal period: 13-19% experience postpartum depression. Perinatal psychological suffering affects early mother-child relationship, impacting child's emotional and cognitive development. Return-to-work brings additional vulnerability given the required balance between parenting and job demands. The MAternal Mental Health in the WORKplace (MAMH@WORK) project aims to develop and evaluate the effectiveness of a brief and sustainable intervention, promoting (a) maternal mental health throughout pregnancy and first 12 months after delivery, and (b) quality of mother-child interactions, child emotional self-regulation, and cognitive self-control, while (c) reducing perinatal absenteeism and presenteeism. MAMH@WORK is a three-arm randomized controlled trial. A short-term cognitive-behavioral therapy-based (CBT-based) psychoeducation plus biofeedback intervention will be implemented by psychiatrists and psychologists, following a standardized procedure manual developed after consensus (Delphi method). Participants (n = 225, primiparous, singleton pregnant women at 28-30 weeks gestational age, aged 18-40 years, employed) will be randomly allocated to arms: CBT-based psychoeducation intervention (including mindfulness); psychoeducation plus biofeedback intervention; and control. Assessments will take place before and after delivery. Main outcomes (and main tools): mental health literacy (MHLS), psychological wellbeing (HADS, EPDS, KBS, CD-RISC, BRIEF COPE), quality of mother-child interaction, child-mother attachment, child emotional self-regulation and cognitive self-control (including PBQ, Strange Situation Procedure, QDIBRB, SGS-II, CARE-Index), job engagement (UWES), and presenteeism. Intention-to-treat and per-protocol analyses will be conducted; Cohen's d coefficient, Cramer's V and odds ratio will be used to assess the effect size of the intervention. MAMH@WORK is expected to contribute to mental health promotion during the perinatal period and beyond. Its results have the potential to inform health policies regarding work-life balance and maternal mental health and wellbeing promotion in the workplace.