Sex and Age Differences in the Effects of Food Frequency on Metabolic Parameters in Japanese Adults
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Published:2024-09-02
Issue:17
Volume:16
Page:2931
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ISSN:2072-6643
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Container-title:Nutrients
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language:en
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Short-container-title:Nutrients
Author:
Iizuka Katsumi12ORCID, Yanagi Kotone3, Deguchi Kanako1, Ushiroda Chihiro1ORCID, Yamamoto-Wada Risako1, Kobae Kazuko3, Yamada Yoshiko3, Naruse Hiroyuki34
Affiliation:
1. Department of Clinical Nutrition, Fujita Health University, Toyoake 470-1192, Japan 2. Food and Nutrition Service Department, Fujita Health University Hospital, Toyoake 470-1192, Japan 3. Health Management Center, Fujita Health University, Toyoake 470-1192, Japan 4. Department of Medical Laboratory Science, Fujita Health University Graduate School of Health Sciences, Toyoake 4470-1192, Japan
Abstract
Owing to differences in dietary preferences between men and women, the associations between dietary intake frequency and metabolic parameters may differ between the sexes. A retrospective observational study of the checkup findings of 3147 Japanese individuals (968 men, 2179 women) aged 20–59 years was conducted to examine differences in dietary habits and associations between food frequency and blood parameters (eGFR, HbA1c, uric acid, and lipids) by sex and age. Males were more likely to consume meat, fish, soft drinks, and alcohol, whereas women were more likely to consume soybeans, dairy products, vegetables, fruits, and snacks. Multivariate linear regression models adjusted for age and BMI revealed that meat intake frequency was positively associated with HbA1c (β = 0.007, p = 0.03) and negatively associated with eGFR (β = −0.3, p = 0.01) only in males, whereas fish intake frequency was positively associated with eGFR (β = 0.4, p = 0.005) only in females. Egg and soy intake frequencies were positively and negatively associated with non-HDL-C (egg: β = 0.6, p = 0.02; soy: β = −0.3, p = 0.03) only in females. Alcohol consumption frequency was associated with uric acid (M: β = 0.06, p < 0.001; F: β = 0.06, p < 0.001) and HDL-C (M: β = 1.0, p < 0.001; F: β = 1.3, p < 0.001) in both sexes. Future research is needed to determine whether varying the emphasis of dietary guidance by sex and age group is effective, since the effects of dietary preferences on metabolic parameters vary by age and sex.
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