Características das mulheres que não consultam com médico: estudo de base populacional

Costa, Juvenal Soares Dias da; Koltermann, Annie Pozeczek; Cappellesso, Bruna; Lisowski, Josiele Flores; Bernardelli, Maiton; Xavier, Paula Brustolin; Donatti, Talita; Morimoto, Tissiani; Bairros, Fernanda Souza de; Olinto, Maria Teresa Anselmo

doi:10.11606/s1518-8787.2018052000190

Cited by 4 publications

(7 citation statements)

References 19 publications

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“…However, our data highlight the fact that between 40 and 49 years old, the prevalence of multimorbidity was 16.3%, while at 50-59 years, it became 39%. Even considering that women consult the doctor more as they age and are, therefore, more likely to be diagnosed with health problems 31 , it is observed that middle age has a significant impact on the occurrence of multimorbidity, which thus indicates an important avenue for prevention. Although it was not evaluated in our study, the hypothesis that our findings are related to the menopausal status of these women cannot be ruled out, since the post-menopause phase is associated with multimorbidity 16 .…”

Section: Discussionmentioning

confidence: 99%

“…On evaluating social inequality indicators, an association was observed between low-income or lower socioeconomic status and multimorbidity 19,21,44,45,50 However, similar to our findings, data from the PNS 2013 showed that the southern states of Brazil, which are more developed in terms of both income and education, showed an increase in the occurrence of multimorbidity, possibly related to an increase in the life expectancy in these states in comparison with the others states 42 . Additionally, it is known that higher income is associated with greater access to health care services 31 , which may be related to a higher number of diagnoses and, therefore, a higher percentage of multimorbidity.…”

Section: Discussionmentioning

confidence: 99%

“…This research is part of a larger project entitled "Living conditions and health of adult women: population-based study in the Rio dos Sinos Valley -Evaluation after 10 years" carried out in 2015. This study employs multiple-stage sampling methods; details of the methodology used have already been published 31 . The sample size was calculated based on the outcomes of interest; we chose the one that required a larger sample size.…”

Section: Methodsmentioning

confidence: 99%

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Lifestyle, high Body Mass Index, and markers of socioeconomic conditions associated with multimorbidity in women

Franken

Olinto

Costa

et al. 2022

Rev. bras. epidemiol.

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This study aimed to identify the prevalence of multimorbidity and its associated factors in women in southern Brazil. Methods: We conducted a cross-sectional, population-based study with a sample of 1,128 women (age 20-69 years), living in São Leopoldo, southern Brazil. Multimorbidity was defined as two or more chronic conditions measured using the therapeutic and chemical anatomical classification of continuous use medications prescribed by a physician. Poisson regression model with robust variance was used to assess the association between sociodemographic and lifestyle variables and multimorbidity. Results: The prevalence of multimorbidity was 21.7% (95%CI 19.3-24.2), and 26 chronic conditions were identified. A direct linear association was observed with age and income and an inverse association with education. Being unemployed was a risk factor for multimorbidity (PR 1.95; 95%CI 1.51-2.52). Alcohol consumption (moderate or excessive) had a protective effect. Overweight and obese women were 53% (PR 1.53; 95%CI 1.09-2.15) and 76% (PR 1.76; 95%CI 1.27-2.45) more likely to have multimorbidity than eutrophic women. Conclusion: Over 20% of the adult women had multimorbidity, and its occurrence was strongly associated with socioeconomic characteristics, such as fewer years of schooling, higher income, and not having an occupation. The results regarding alcohol consumption are still insufficient to propose a public policy for the prevention of multimorbidity. Excess weight was an independent risk factor and should be addressed in public health policies for the prevention and management of multimorbidity.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Lifestyle, high Body Mass Index, and markers of socioeconomic conditions associated with multimorbidity in women

Franken

Olinto

Costa

et al. 2022

Rev. bras. epidemiol.

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“…Quality control was also performed through the application of a reduced questionnaire, which included variables that were unlikely to have changed in a short time. This step was carried out through telephone contact with a random sample of 10% of the participants included in the study 20–22 …”

Section: Methodsmentioning

confidence: 99%

“…This step was carried out through telephone contact with a random sample of 10% of the participants included in the study. [20][21][22]…”

Section: Larger Studymentioning

confidence: 99%

Dietary patterns and prevalence of multimorbidity in women in southern Brazil

et al. 2022

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Objective: This study aimed to investigate the association between dietary patterns and prevalence of multimorbidity in women.Methods: This population-based cross-sectional study was conducted in 2015 and included 1,128 women aged 20 to 69 years living in the urban area of São Leopoldo municipality, southern Brazil. Multimorbidity was defined as the presence of two or more chronic conditions, among the 26 identified. Poisson regression with robust variance was used to investigate the association between the three dietary patterns (healthy, risk, and Brazilian), using different models adjusted for sociodemographic, behavioral, and nutritional status variables.Results: The results showed differences in the prevalence of adherence to different dietary patterns and multimorbidity across age groups, with a prevalence of multimorbidity and a healthy dietary pattern showing a direct linear trend with age, whereas the risk dietary pattern showed an inverse linear trend with age. The prevalence of the Brazilian dietary pattern remained constant despite differences in age. After adjustment, we found that women with greater adherence to the Brazilian dietary pattern showed a 40% reduction in the prevalence of multimorbidity compared with those with less adherence (prevalence ratio, 0.60; 95% confidence interval, 0.40-0.86). Conclusion:The results revealed that the prevalence of multimorbidity was significantly lower in women with greater adherence to the Brazilian dietary pattern and highlight the importance of dietary interventions in early adulthood as a way to prevent multimorbidity in women.

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Does sleep quality modify the relationship between common mental disorders and chronic low back pain in adult women?

et al. 2022

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Características das mulheres que não consultam com médico: estudo de base populacional

Cited by 4 publications

References 19 publications

Lifestyle, high Body Mass Index, and markers of socioeconomic conditions associated with multimorbidity in women

Lifestyle, high Body Mass Index, and markers of socioeconomic conditions associated with multimorbidity in women

Dietary patterns and prevalence of multimorbidity in women in southern Brazil

Does sleep quality modify the relationship between common mental disorders and chronic low back pain in adult women?

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