L’effet de l’âge, du genre et du statut socioéconomique sur l’utilisation des services         de médecine générale pour des symptômes de détresse psychologique

Préville, Michel; Guerra, Samantha Gontijo; Mechakra-Tahiri, Samia-Djemaâ; Vasiliadis, Helen‐Maria; Lamoureux‐Lamarche, Catherine; Berbiche, Djamal

doi:10.7202/1025916ar

Cited by 2 publications

(1 citation statement)

References 91 publications

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“…Ethnicity might be one of psychosocial barriers to care [80] experienced by gender [81]. Confirmatively, the socioeconomic status did not influence access to services in the general medical sector in the older adult population [82]. Hence, mental health care partial to rural–urban migrants sponsored by local and central governments should be promoted.…”

Section: Discussionmentioning

confidence: 99%

Measuring the effects of socioeconomic factors on mental health among migrants in urban China: a multiple indicators multiple causes model

Guan

2017

Int J Ment Health Syst

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ObjectivesSince 1978, rural–urban migrants mainly contribute Chinese urbanization. The purpose of this paper is to examine the effects of socioeconomic factors on mental health of them. Their mental health was measured by 12-item general health questionnaire (GHQ-12).MethodsThe study sample comprised 5925 migrants obtained from the 2009 rural-to-urban migrants survey (RUMiC). The relationships among the instruments were assessed by the correlation analysis. The one-factor (overall items), two-factor (positive vs. negative items), and model conducted by principal component analysis were tested in the confirmatory factor analysis (CFA). On the basis of three CFA models, the three multiple indicators multiple causes (MIMIC) models with age, gender, marriage, ethnicity, and employment were constructed to investigate the concurrent associations between socioeconomic factors and GHQ-12.ResultsOf the sample, only 1.94% were of ethnic origin and mean age was 31.63 (SD = ±10.43) years. The one-factor, two-factor, and three-factor structure (i.e. semi-positive/negative/independent usefulness) had good model fits in the CFA analysis and gave order (i.e. 2 factor>3 factor>1 factor), which suggests that the three models can be used to assess psychological symptoms of migrants in urban China. All MIMIC models had acceptable fit and gave order (i.e. one-dimensional model>two-dimensional model>three-dimensional model).ConclusionsThere were weak associations of socioeconomic factors with mental health among migrants in urban China. Policy discussion suggested that improvement of socioeconomic status of rural–urban migrants and mental health systems in urban China should be highlighted and strengthened.Electronic supplementary materialThe online version of this article (doi:10.1186/s13033-016-0118-y) contains supplementary material, which is available to authorized users.

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Section: Discussionmentioning

confidence: 99%

Measuring the effects of socioeconomic factors on mental health among migrants in urban China: a multiple indicators multiple causes model

Guan

2017

Int J Ment Health Syst

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Association of problematic internet use with depression, impulsivity, anger, aggression, and social anxiety: Results of a national study among Lebanese adolescents

Haddad

Malaeb

Sacre³

et al. 2021

Pediatric Investigation

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Importance Several studies conducted worldwide (mostly in Western countries) highlighted the negative effects of problematic internet use, particularly among adolescents aged 12 to 17, including depression, impulsivity, aggression, and social fear and avoidance. In Lebanon, literature on the prevalence and impact of problematic internet use among adolescents is limited. Objective This study aim was to study the association between problematic internet use and depression, impulsivity, anger, aggression and social phobia among Lebanese adolescents. Methods A cross‐sectional study was performed on 1103 young adolescents (14–17 years), recruited from October 2017 till April 2018. The Internet Addiction Test (IAT) was used to evaluate the level of problematic internet use. Data were analyzed using the MANCOVA analysis. The main independent variable of interest was the IAT, while the dependent variables included the psychological scales. Results The multivariate analysis taking the psychological scales as the dependent variables and the problematic internet use (IAT score) as an independent variable, showed that problematic internet use was associated with higher depression, impulsivity, aggression, anger, hostility and social anxiety. Interpretation Problematic internet use has become an important health issue that should not be overlooked, particularly because of the increased use of the internet by adolescents. Educational programs on early exposure to the internet should be developed.

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L’effet de l’âge, du genre et du statut socioéconomique sur l’utilisation des services de médecine générale pour des symptômes de détresse psychologique

Cited by 2 publications

References 91 publications

Measuring the effects of socioeconomic factors on mental health among migrants in urban China: a multiple indicators multiple causes model

Measuring the effects of socioeconomic factors on mental health among migrants in urban China: a multiple indicators multiple causes model

Association of problematic internet use with depression, impulsivity, anger, aggression, and social anxiety: Results of a national study among Lebanese adolescents

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