Background
Dietary diversity (DD) is an indicator of nutrient intake and is related to health outcomes in older people. Currently, limited research exists regarding factors associated with DD in older people in developing countries, such as Thailand, despite rapid growth in this population. Therefore, this study aims to examine the association between socio-demographic characteristics and DD in Thai older people.
Methods
A cross-sectional study based on the fifth Thai National Health Examination Survey (NHES-V) conducted between 2013 and 2015 was performed. A total of 7,300 nationally representative older participants aged ≥ 60 years were included. The individual-level dietary diversity score (DDS) was assessed as the frequency of consumption of eight food groups using food frequency questionnaires. Each food group was scored from 0 to 4 according to the frequency of consumption. The DDS was calculated as the sum of the scores, ranging from 0 to 32. Socio-demographic characteristics, including age, sex, highest education level, wealth index, living conditions, and residential area, were assessed. Data were analyzed using multiple linear regression and adjusted for complex survey design.
Results
The participants had a mean age of 69.7 (SD 7.6) years. The mean DDS of participants was 18.4 (SD 3.9). In the adjusted model, a higher educational level, a higher wealth index, and living in an urban area were positively associated with DDS, with adjusted β (95% CI) values of 1.37 (1.04, 1.70) for secondary education or higher, 0.81 (0.55, 1.06) for the richest group, and 0.24 (0.10, 0.44) for living in an urban area. Nevertheless, living alone had negative associations with DDS, with a β (95% CI) of - 0.27 (- 0.53, - 0.00).
Conclusions
This study showed that a higher educational level, a higher wealth index, and living in an urban area had a positive association, whereas living alone had a negative association with DD among Thai older participants. Interventions aiming to improve dietary diversity among older people might benefit from targeting more vulnerable groups, particularly those with less education and wealth, those living alone, or those in rural areas.