Comparison of dietary behaviors and nutrient intake by gender and household type among older Koreans: a cross-sectional study using data from the 8th Korea National Health and Nutrition Examination Survey.

Abstract

Objectives: This study aimed to identify gender- and household type-specific nutritional vulnerability among older Koreans by comparing dietary behaviors, nutrient intake, and diet quality.

Methods: We analyzed data from 2,412 adults aged ≥ 65 years (1,118 men; 1,294 women) from the 8th Korea National Health and Nutrition Examination Survey (2019-2021). Household type was classified as one-person, couple-only, or with-children. Outcome variables included dietary behavior, daily energy and nutrient intake, and diet quality, assessed using the Korean Healthy Eating Index (KHEI). Analyses were carried out accounting for the complex sampling design, adjusting for age, residential area, education level, household income level, economic activity status, self-rated health status, and survey year.

Results: Elderly men in one-person households, compared with those in couple-only households, were more likely to skip breakfast and lunch and to consume less energy. The odds of intake below the estimated average requirement (EAR) were higher for iron (odds ratio [OR] = 1.731, P = 0.022) and zinc (OR = 2.460, P = 0.002) among men in one-person households. The KHEI score was the lowest among men in one-person households. Elderly women in with-children households, compared with those in couple-only households, were more likely to skip breakfast and to consume less energy. The risks of intake below the estimated energy requirement (EER) and EAR were higher among women in with-children households than those in couple-only households (EER: OR = 1.448; magnesium: OR = 2.090; iron: OR = 1.692; zinc: OR = 1.902; folate: OR = 2.282; all P < 0.05). The KHEI score was lower among women in with-children households.

Conclusion: Elderly men living alone and elderly women living with children showed significantly greater nutritional vulnerability. More attention should be given to understanding how gender-specific household types can affect nutritional vulnerability in later life.