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1.
Br J Health Psychol ; 28(4): 1132-1152, 2023 11.
Article in English | MEDLINE | ID: mdl-37386693

ABSTRACT

BACKGROUND: This systematic review and meta-analysis was based on the Common Sense Model, applied to infertility. AIMS: The aim was to examine the relationships between cognitive (i.e. cause, coherence, consequences, controllability, identity and timeline) or emotional representations of infertility and both coping (i.e. maladaptive and adaptive) and psychosocial outcomes (i.e. distress, anxiety, depressive symptoms, social isolation, low well-being and poor quality of life), reporting followed PRISMA guidelines. MATERIALS & METHODS: Five databases (PubMed, PsycINFO, PsycARTICLES, PubPsych and CINAHL) were searched, and 807 articles were initially identified. RESULTS: Seven cross-sectional studies (N = 1208 participants) were retained in qualitative and quantitative analyses. These studies assessed the associations of seven types of representations with either maladaptive or adaptive coping (20 effect sizes), or with psychosocial outcomes (131 effect sizes). A multivariate meta-analysis revealed that none (0/2) of the associations between the sole type of representation considered (i.e. controllability) and coping strategies were statistically significant, whereas three (3/7) of the associations between representations of infertility and psychosocial outcomes were statistically significant. Regardless of p-values, pooled estimates ranged from low (r = .03) to very high (r = .59). DISCUSSION: Future studies should validate specific measurement tools for measuring cognitive and emotional representations of infertility. CONCLUSION: Our results highlight the influence of representations of infertility (particularly cognitive representations of consequences and emotional representations) on the psychosocial outcomes of infertility.


Subject(s)
Infertility , Quality of Life , Humans , Cross-Sectional Studies , Adaptation, Psychological , Emotions , Infertility/therapy , Infertility/psychology
2.
Accid Anal Prev ; 162: 106404, 2021 Nov.
Article in English | MEDLINE | ID: mdl-34598046

ABSTRACT

The present study investigates the pattern in which transgressive and aggressive driving motives and aggressive driving were ordered in different clusters of drivers. To establish the difference between profiles, anger disorders, state-trait anger, and motives for transgression and respect for traffic rules were studied and compared between clusters. A total of 383 participants (laypersons), of all age and gender, filled out self-report measures evaluating aggressive driving, state-trait anger, anger disorders, aggressive driving motives, and motives for transgression and respect for traffic rules. Results show the emergence of four profiles of drivers: Respectful, Aggressive-Avenger, Aggressive-Dominant, and Aggressive-Situational. The difference between these clusters has been confirmed by the high tendency of anger disorders for Aggressive-Dominant, low tendency of aggressive driving for Respectful, high tendency for motives for aggressive driving as altruistic protection for Aggressive-Avenger, and high tendency of speeding for Aggressive-Situational. Our findings strongly support the importance of creating programs adapted to each driver's profile.


Subject(s)
Automobile Driving , Accidents, Traffic , Aggression , Anger , Humans , Surveys and Questionnaires
3.
J Reprod Infant Psychol ; 38(4): 421-435, 2020 09.
Article in English | MEDLINE | ID: mdl-32683885

ABSTRACT

OBJECTIVE: This cross-sectional study aimed to investigate the relationship between a mother's current emotion regulation strategy (antecedent-focused vs. response-focused), her satisfaction with childbirth, and posttraumatic and/or depressive symptoms after unplanned C-section. BACKGROUND: The mother's and baby's health is considered a priority during childbirth. As a result, situations in which an unplanned C-section is required may not allow mothers to express their needs and emotions. This may lead to feelings of dissatisfaction regarding the childbirth experience. METHODS: Fifty French participants aged 18-35 (M = 27.10; S.D. = 3.99) who had a C-section were recruited on social networking groups and completed four self-report measures online, up to two years after childbirth. These measures assessed emotion regulation strategies currently used, birth satisfaction, postpartum depression symptoms and PTSD symptoms. RESULTS: Main results indicate (1) Mothers who use expressive suppression, a response-focused strategy, are less satisfied with childbirth. (2) Emotion regulation, when combined with maternal satisfaction, shows a negative association with posttraumatic stress score and depression score. CONCLUSION: This study provides interesting data for further research. Follow-up studies about emotion regulation, postpartum depression and posttraumatic stress symptoms should be conducted in the future in order to provide clinical recommendations.


Subject(s)
Cesarean Section/psychology , Depression, Postpartum/psychology , Emotional Regulation , Mothers/psychology , Personal Satisfaction , Stress Disorders, Post-Traumatic/psychology , Adult , Cross-Sectional Studies , Emergencies , Female , Humans , Parturition/psychology , Pregnancy , Young Adult
4.
J Neurosci Res ; 98(4): 616-625, 2020 04.
Article in English | MEDLINE | ID: mdl-30809836

ABSTRACT

Attention about the risks of online social networks (SNs) has been called upon reports describing their use to express emotional distress and suicidal ideation or plans. On the Internet, cyberbullying, suicide pacts, Internet addiction, and "extreme" communities seem to increase suicidal behavior (SB). In this study, the scientific literature about SBs and SNs was narratively reviewed. Some authors focus on detecting at-risk populations through data mining, identification of risks factors, and web activity patterns. Others describe prevention practices on the Internet, such as websites, screening, and applications. Targeted interventions through SNs are also contemplated when suicidal ideation is present. Multiple predictive models should be defined, implemented, tested, and combined in order to deal with the risk of SB through an effective decision support system. This endeavor might require a reorganization of care for SNs users presenting suicidal ideation.


Subject(s)
Data Mining , Social Media , Social Networking , Suicide Prevention , Humans , Suicidal Ideation , Suicide/psychology
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