Factors associated with common mental disorders: a study based on clusters of women.
Rev Saude Publica
; 55: 77, 2021.
Article
em En, Pt
| MEDLINE
| ID: mdl-34816980
ABSTRACT
OBJECTIVE:
to identify factors associated with common mental disorders (CMD) in a sample of adult women in Southern Brazil.METHODS:
This population-based study, composed of 1,128 women, investigated socioeconomic, behavioral and health/disease explanatory demographic variables. Five response groups were explored one group with common mental disorders - cut-off point 6/7 in the Self-Reporting Questionnaire 20 (SRQ-20) - and four others corresponding to the different clusters found using the latent class clustering technique, also from the SRQ-20. These four clusters (low, medium-depressive, medium-digestive and high) were named (denominated) based on the mean scores in the SRQ-20 in each group and on the response patterns of the variables and factorial characteristics. The "low" cluster comprised women with lower SRQ-20 scores and, therefore less likely to present CMD. The "high" cluster, with high mean values in the SRQ-20, was related to higher psychiatric morbidity. We used the Poisson regression technique to compare the findings of the different groups.RESULTS:
We identified ten variables as factors associated with CMD. Age, education, smoking, physical activity, perception of health and number of medical appointments were the common variables for the cut-off point and cluster-based analyses. Heavy alcohol use was associated only when the sample was evaluated as a cut-off point. Social class, work situation and existence of chronic diseases were associated only when the sample was analyzed by clusters. There was a significant association in the "high" cluster with lower classes (D or E), smoking, physical inactivity, existence of chronic diseases and negative perception of health.CONCLUSION:
We identified different associated factors according to the response groups considered. New approaches allowing identification of subgroups of individuals with specific characteristics and associated factors may contribute for a more accurate understanding of CMD and provide the basis for health interventions.
Texto completo
- https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8577533
- https://dx.doi.org/10.11606/s1518-8787.2021055003124
- http://www.scielo.br/scielo.php?script=sci_arttext&nrm=iso&lng=pt&tlng=pt&pid=S0034-89102021000100265
- http://www.scielosp.org/scielo.php?script=sci_arttext&nrm=iso&lng=pt&tlng=pt&pid=S0034-89102021000100265
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Transtornos Mentais
Tipo de estudo:
Diagnostic_studies
/
Observational_studies
/
Prevalence_studies
/
Prognostic_studies
/
Risk_factors_studies
Limite:
Adult
/
Female
/
Humans
País/Região como assunto:
America do sul
/
Brasil
Idioma:
En
/
Pt
Revista:
Rev Saude Publica
Ano de publicação:
2021
Tipo de documento:
Article
País de afiliação:
Brasil