[Sociodemographic and dietary factors and health conditions: determinants of malnutrition in the elderly in Colombia].

Autor: Estrada-Restrepo A; Escuela de Nutrición y Dietética, Universidad de Antioquia, Medellín, Colombia.; Grupo de Investigación en Demografía y Salud, Universidad de Antioquia, Medellín, Colombia., Deossa-Restrepo GC; Escuela de Nutrición y Dietética, Universidad de Antioquia, Medellín, Colombia.; Grupo de Investigación en Socioantropología de la Alimentación, Universidad de Antioquia, Medellín, Colombia., Benjumea-Rincón MV; Escuela de Nutrición y Dietética, Universidad de Antioquia, Medellín, Colombia., Giraldo-Giraldo NA; Escuela de Nutrición y Dietética, Universidad de Antioquia, Medellín, Colombia.; Grupo de Investigación en Alimentación y Nutrición Humana, Universidad de Antioquia, Medellín, Colombia.
Jazyk: Spanish; Castilian
Zdroj: Cadernos de saude publica [Cad Saude Publica] 2024 Sep 23; Vol. 40 (9), pp. e00189423. Date of Electronic Publication: 2024 Sep 23 (Print Publication: 2024).
DOI: 10.1590/0102-311XES189423
Abstrakt: This study aimed to estimate the prevalence of malnutrition using clustered anthropometric indicators and to describe the sociodemographic and dietary factors and health conditions that determine malnutrition in elderly Colombians. This was a secondary analysis of the study Health, Well-being and Ageing (SABE) Colombia, 2015. The survey included 23,694 people aged ≥ 60 years. Malnutrition excess was defined by clustering two indicators: body mass index (BMI) and waist circumference; weight deficit was defined by clustering BMI and arm and calf circumferences. The chi-square test was used to associate malnutrition with sociodemographic variables, dietary and health conditions, and to determine the heterogeneity of malnutrition, a latent class analysis was performed. Overweight was 31.9%, whereas underweight, according to BMI and calf circumference, was 7.9%, and increased to 18.8% when arm circumference was also taken into account. Five latent classes of malnutrition were generated - class 1: no overweight and deteriorated health conditions; class 2: no weight deficit and deteriorated health conditions; class 3: no malnutrition and deteriorated health conditions; class 4: overweight and multimorbidity; and class 5: low protein food intake without being underweight or overweight. It is concluded that a high prevalence of malnutrition in older adults exists, with excess rather than deficit. Sociodemographic and dietary factors and health conditions are associated differently with overweight and underweight.
Databáze: MEDLINE