Authors
Minatsu Kobayashi, Nobuko Shimizu, Noboru Hasegawa, Takako Yamada, Tomohiro Umemura, Mayumi Kato, Kyosuke Yorozuya, Piyathorn Rengrew, Pattaranai Chaiprom, Patana Nakatong, Kamolthip Thipsungwan, Hunsa Sethabouppha, Nattaya Suwankruhasn, Chalinee Suvanayos
Published in
Nutrients. Volume 18. Issue 13. Jul 07, 2026. Epub Jul 07, 2026.
Abstract
Background/Objectives: This study aimed to identify dietary patterns among community-dwelling older adults in northern Thailand and examine their associations with nutrient intake, serum biomarkers, and anthropometric indicators. Methods: A cross-sectional study was conducted among 117 older adults in Lampang and Chiang Mai provinces in Northern Thailand. Dietary intake was assessed using a semiquantitative food frequency questionnaire. Dietary patterns were derived using principal component analysis, and participants were classified into mutually exclusive dietary pattern groups based on their highest factor scores, which was defined as the dominant pattern. Differences in nutrient intake were evaluated using the Kruskal-Wallis test. Serum biomarkers and anthropometric indicators were assessed using an analysis of covariance adjusted for age, sex, residential area, total energy intake, and body mass index. Results: Four dietary patterns were identified: diverse traditional, processed staple-based, tropical fruit, and a Western diet high in fats and sweets. Dietary fiber intake differed significantly among the four patterns, with the highest level in the diverse traditional and lowest in the processed staple patterns. No significant differences were observed in total energy or major nutrient intake. Total cholesterol levels differed significantly, with lower levels in the traditional diet pattern than in the tropical fruit and Western diet patterns. Conclusions: Dietary patterns among older adults in northern Thailand may be associated with dietary fiber intake and serum total cholesterol levels. A traditional diet rich in vegetables and fish may be linked to more favorable nutrient intake and lipid profiles.
PMID:
42451204
Bibliographic data and abstract were imported from PubMed on 15 Jul 2026.
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