Dietary pattern as a predictor of multimorbidity patterns: A population-based cross-sectional study with women.

Background And Aims: Multimorbidity is a common health condition, and the relationship between different patterns of multimorbidity and food consumption through dietary patterns needs to be determined. This study aimed to investigate the association between dietary patterns and multimorbidity patterns in women.

Methods: This population-based cross-sectional study included 1128 women (aged 20-69 years) living in southern Brazil.

Dietary patterns and prevalence of multimorbidity in women in southern Brazil.

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.

Dietary patterns and their association with sociodemographic and behavioral factors: 2015 Women's Health Research, São Leopoldo (RS).

Introduction: Dietary patterns may be more predictive of disease risk than individual nutrients or foods.

Objective: To identify dietary patterns and associated factors among adult women.

Method: Population-based cross-sectional study with 1,128 women, aged 20 to 69 years, living in São Leopoldo, Rio Grande do Sul.