[Digital well-being, a technological mental health issue: The smartphone role].

Objectives To introduce the concept of digital well-being and explore the place of digital tools in the service of this well-being. Methods The article is based on a description of the concept of digital well-being, the intervention models currently available and the possibilities for improvement of these models. Findings Over the past decade, smartphone use has become almost ubiquitous in modern society.

Validation of the english version of the Multidimensional Mentalizing Questionnaire (MMQ).

Background: Mentalizing refers to the ability to understand one's own and others' mental states. Mentalizing is considered a key component of social cognition and healthy personality development. A multinational assessment tools able to appraise the multidimensional and multifaceted aspects of this complex construct are needed.

Predictors of compulsive cyberporn use: A machine learning analysis.

Introduction: Compulsive cyberporn use (CCU) has previously been reported among people who use cyberporn. However, most of the previous studies included convenience samples of students or samples of the general adult population. Research examining the factors that predict or are associated with CCU are still scarce.

Online dating: predictors of problematic tinder use.

Background: Geolocation apps have radically transformed dating practices around the world, with profound sociocultural implications. Few studies, however, have explored their addictive potential or factors that are associated with their misuse.

Objective: The present study aimed to assess the level of problematic Tinder use (PTU) in an adult sample, using a machine learning algorithm to determine, among 29 relevant variables, the most important predictors of PTU.

Relationship between gamer profiles, gaming behavior, sociodemographic characteristics, and big five personality traits among French law students.

Background: Over the past 10 years, gamer profiles have been developed to understand the reason underlying players' intrinsic motivation. While the research undertaken has led to the creation of distinct models (e.g.

Using artificial intelligence to identify the top 50 independent predictors of subjective well-being in a multinational sample of 37,991 older European & Israeli adults.

Subjective well-being (SWB) is widely recognized as an important health outcome, but its complexity, myriad predictors, and analytic requirements pose significant challenges to identifying the relative order and impact of SWB determinants. This study involved a representative sample of 37,991 older adults from 17 European countries and Israel. An aggregate index of SWB was developed and compared across countries, and machine-learning algorithms were used to rank-order the strongest 50 (of an initial 94) SWB predictors from 15 categories.

Finding Intimacy Online: A Machine Learning Analysis of Predictors of Success.

While an extensive scientific literature now exists on the use of online dating services, there are very few studies on user satisfaction with dating apps and with the resulting offline dates. This study aimed to assess the level of satisfaction with Tinder use (STU) and the level of satisfaction with Tinder offline dates (STOD) in a sample of adult users of the app. The study also aimed to examine, among 28 variables, those that are the most important in predicting STU and STOD.

Predicting smoking cessation, reduction and relapse six months after using the Stop-Tabac app for smartphones: a machine learning analysis.

Background: An analysis of predictors of smoking behaviour among users of smoking cessation apps can provide useful information beyond what is already known about predictors in other contexts. Therefore, the aim of the present study was to identify the best predictors of smoking cessation, smoking reduction and relapse six months after starting to use the smartphone app Stop-Tabac.

Method: Secondary analysis of 5293 daily smokers from Switzerland and France who participated in a randomised trial testing the effectiveness of this app in 2020, with follow-up at one and six months.

Predicting the Users' Level of Engagement with a Smartphone Application for Smoking Cessation: Randomized Trial and Machine Learning Analysis.

Introduction: Studies of the users' engagement with smoking cessation application (apps) can help understand how these apps are used by smokers, in order to improve their reach and efficacy.

Objective: The present study aimed at identifying the best predictors of the users' level of engagement with a smartphone app for smoking cessation and at examining the relationships between predictors and outcomes related to the users' level of engagement with the app.

Methods: A secondary analysis of data from a randomized trial testing the efficacy of the Stop-Tabac smartphone app was used.

Willingness to Use Male Contraceptive Pill: Spain-Mozambique Comparison.

Previous studies have suggested that social and cultural factors significantly influence people's willingness to use the male contraceptive pill, which is in relatively advanced development. The present study aims at comparing Spanish and Mozambican participants level of willingness to take a male contraceptive pill. Factorial designed scenarios were used to collect data on the two population samples (Spain = 402 participants; Mozambique = 412 participants).

Smartphone apps for mental health and wellbeing: A usage survey and machine learning analysis of psychological and behavioral predictors.

Objective: Despite the availability of thousands of mental health applications, the extent to which they are used and the factors associated with their use remain largely unknown. The present study aims to (a) assess in a representative US-based population sample the use of smartphone apps for mental health and wellbeing (SAMHW), (b) determine the variables predicting the use of SAMHW, and (c) explore how a set of variables related to mental health, smartphone use, and smartphone "addiction" may be associated with the use of SAMHW.

Methods: Data was collected via online questionnaire from 1989 adults.

Assessment of the Popularity and Perceived Effectiveness of Smartphone Tools That Track and Limit Smartphone Use: Survey Study and Machine Learning Analysis.

Background: Problematic smartphone use, like problematic internet use, is a condition for which treatment is being sought on the web. In the absence of established treatments, smartphone-provided tools that monitor or control smartphone use have become increasingly popular, and their dissemination has largely occurred without oversight from the mental health field.

Objective: We aimed to assess the popularity and perceived effectiveness of smartphone tools that track and limit smartphone use.

A global grounded theory exploration of investigators' perspectives on male hormonal contraceptive development and acceptability.

While best practices have been proposed on how to engage men in family planning (FP), the limited options of male hormonal contraceptives (MHC) are a barrier to reaching men as clients of FP programs. The lack of alternative MHC is preventing the global health community from providing holistic reproductive healthcare. A qualitative grounded theory study was conducted in 2020 to explore MHC experts' perceptions around the development and theoretical acceptability of MHCs.

Assessing Spaniard men's willingness and determinants to use a male contraceptive pill.

Objective: As the clinical trials to develop male contraceptive pills are underway, understanding men's attitudes towards this contraceptive method is transcendental. This research was conducted to identify the degree of willingness and the determinants to use male contraceptive pill among Spaniard men.

Methods: A sample of 402 Spaniards men was presented with 36 scenarios comprising four within-subject factors (cost of pills, pill efficacy, side effects and context).

Machine learning reveals the most important psychological and social variables predicting the differential diagnosis of rheumatic and musculoskeletal diseases.

There is an ongoing debate about the importance and the extent to which psychological and psychopathological factors, adverse childhood experiences, and socio-demographic characteristics are associated with the development of certain types of rheumatic disease. With the aim of contributing to knowledge on the subject, the present study uses machine learning modeling to determine the importance of 20 psychological and social variables in predicting two classes of rheumatic disease: inflammatory rheumatic and musculoskeletal diseases (RMD) (rheumatoid arthritis = RA, spondyloarthritis = SA, and Sjögren's syndrome = SS) versus non-inflammatory RMD, namely fibromyalgia = FM). A total of 165 French women with FM, RA, SA, and SS completed an inventory of personality traits, a psychopathology diagnosis questionnaire, and a fatigue/pain questionnaire.

People's willingness and determinants to use selected tele-consultation public health services in Mozambique.

Background: To achieve universal health coverage by 2030, sub-Saharan African countries are planning to develop large scale tele-consultation public health services. However, there is a lack of knowledge regarding the level of peoples' willingness to use this kind of tele-health services. To address this gap and inform policymakers, the present study aims at accessing the Mozambican people's willingness to use tele-consultation public health services and the determinants associate to their willingness.

Infant vaccination against malaria in Mozambique and in Togo: mapping parents' willingness to get their children vaccinated.

: Malaria is one of the most widespread and deadly diseases worldwide and large majority of malaria cases and deaths occurs in Africa. Efforts to develop an effective vaccine against malaria are underway and several vaccine prototypes are on different clinical trial phases.: As many sub-Saharan African countries have shown interest in introducing large-scale infant vaccination against malaria when a definitively approved vaccine will be available, the present study aimed at mapping Mozambican parents' willingness to get their children vaccinated and comparing the results with findings from a similar study we conducted in Togo (209 participants).

Identifying determinants of Mozambican men's willingness to use a male contraceptive pill.

Given the possibility of a male contraceptive pill in the near future, understanding men's attitudes towards this contraceptive method is crucial, especially in high-risk populations with limited access to education. This research was conducted to identify the determinants of Mozambican men's willingness to use a contraceptive pill when it is made available. A sample of 412 Mozambican men was presented with 36 vignettes comprising four within-subject factors (cost of pills, pill efficacy, side effects and context).

HIV prevention: mapping Mozambican people's views on the acceptability of the widow's sexual cleansing ritual called pita-kufa.

Background: In Mozambique, the widow is traditionally required to undergo a cleansing ritual called pita-kufa, which generally involves several sessions of unprotected sexual intercourse with the brother of her deceased husband. This ritual may play a role in the spread of HIV and reveals, to some degree, the subordinate position to which women are subjected in Mozambican society. Thus, this study's aim was to map Mozambicans' views on the acceptability of this ritual, given the gender and public health concerns linked to it.

Assessing Mozambicans' willingness and determinants to use pre-exposure prophylactic HIV medication.

In anticipation of the introduction of the pre-exposure prophylaxis drugs as an additional HIV prevention tool, we mapped the different positions of Mozambicans' willingness to use it. Overall, 507 adults indicated willingness to use under different conditions varying as a function of perceived susceptibility to and severity of infection, side effects, administration protocol, and cost. Three qualitatively different positions were found: Unwillingness irrespective of conditions (4%), depend on circumstances (76%), and unconditional willingness (8%).

The Impact of Face Skin Tone vs. Face Symmetry on Perceived Facial Attractiveness.

The purpose of this study was to assess and compare the relative contribution of skin tone and symmetry on judgment of attractiveness regarding female faces. Two hundred and fifteen Mozambican adults were presented with a set of faces, and instructed to rate their degree of attractiveness along a continuous scale. Chi-square, factorial weight analyses and ANOVA were used to analyze the data.

The impact of face skin tone on perceived facial attractiveness: A study realized with an innovative methodology.

This study aimed to assess the impact of target faces' skin tone and perceivers' skin tone on the participants' attractiveness judgment regarding a symmetrical representative range of target faces as stimuli. Presented with a set of facial features, 240 Mozambican adults rated their attractiveness along a continuous scale. ANOVA and Chi-square were used to analyze the data.

The practice of puxa-puxa among Mozambican women: a systematic inventory of motives.

Puxa-puxa is the elongation of the labia minora of the genital organs. It is one of the most widespread genital practices among women in Mozambique, and the practice seems to be specific to this country. The motives underlying this practice and its abandonment were examined in a theory-driven way.