Chi Hsien Huang1,2,3,4, Kiwako Okada5, Eiji Matsushita5, Chiharu Uno5,4, Shosuke Satake6,7, Beatriz Arakawa Martins1,8,9, Masafumi Kuzuya10,11. 1. Department of Community Health and Geriatrics, Nagoya University Graduate School of Medicine, 65 Tsuruma-cho, Showa-ku, Nagoya, Aichi Prefecture, 466-8550, Japan. 2. Department of Family Medicine, E-Da Hospital, No. 1, Yida Road, Jiaosu Village, Yanchao District, Kaohsiung City, Taiwan, ROC. 3. School of Medicine for International Students, College of Medicine, I-Shou University, No. 8, Yida Rd., Jiaosu Village, Yanchao District, Kaohsiung City, 82445, Taiwan, ROC. 4. Nagoya University, Institute of Innovation for Future Society, NIC, Chikusa Ward, Furocho, Nagoya, Aichi Prefecture, Japan. 5. Graduate School of Nutritional Sciences, Nagoya University of Arts and Sciences, Takenoyama-57, Iwasakicho, Nisshin, Aichi Prefecture, Japan. 6. Section of Frailty Prevention, Department of Frailty Research, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430 Morioka-cho, Obu, Aichi Prefecture, Japan. 7. Department of Geriatric Medicine, National Center for Geriatrics and Gerontology, Hospital, 7-430 Morioka-cho, Obu, Aichi Prefecture, Japan. 8. Adelaide Medical School, University of Adelaide, Adelaide Geriatrics Training and Research With Aged Care (G-TRAC Centre), Discipline of Medicine, 61 Silkes Rd, Paradise, SA, 5075, Australia. 9. University of Adelaide, National Health and Medical Research Council Centre of Research Excellence in Frailty and Healthy Ageing, Adelaide, SA, 5005, Australia. 10. Department of Community Health and Geriatrics, Nagoya University Graduate School of Medicine, 65 Tsuruma-cho, Showa-ku, Nagoya, Aichi Prefecture, 466-8550, Japan. kuzuya@med.nagoya-u.ac.jp. 11. Nagoya University, Institute of Innovation for Future Society, NIC, Chikusa Ward, Furocho, Nagoya, Aichi Prefecture, Japan. kuzuya@med.nagoya-u.ac.jp.
Abstract
PURPOSE: The WHO has proposed a novel model of healthy aging called intrinsic capacity (IC). However, the association between dietary patterns and IC is unclear. We aimed to investigate the prospective associations between dietary patterns and IC trajectories over a 3-year period in community-dwelling Japanese adults aged ≥ 60 years. METHODS: A prospective cohort study which contained nutritional status, mental status, and physical function was used. A validated 34-item food frequency questionnaire was used to determine dietary intake and to derive five dietary patterns ("fruits and vegetables", "sugar and fat", "salt and pickles", "noodle and alcohol", and "protein-rich") using principal component analysis. The composite IC score was calculated as the mean of the locomotion Z-score, cognition Z-score, psychological Z-score, vitality Z-score, and sensory regression score. A generalized estimating equation was applied for longitudinal analysis. RESULTS: A total of 666 enrollees were included in the analysis. The mean baseline IC was 0.07 ± 0.47. The "fruits and vegetables" dietary pattern was positively associated with composite IC score changes after adjusting for confounders (Q4 vs. Q1: mean difference [0.069], P = 0.019). Similarly, a positive correlation was observed for the "protein-rich" dietary pattern with the composite IC score changes (Q4 vs. Q1: mean difference [0.092], Q3 vs. Q1: mean difference [0.101], Q2 vs. Q1: mean difference [0.083]; all P < 0.01). However, adherence to the "sugar and fat" dietary pattern was negatively associated with composite IC score changes (Q4 vs. Q1: mean difference [- 0.072], P = 0.026). Furthermore, the percentage of animal protein to total protein intake showed a significant incremental trend in the "protein-rich" dietary pattern (P for trend < 0.001). CONCLUSION: The "fruits and vegetables" and "protein-rich" (animal-based protein in particular) dietary patterns were positively associated with IC changes, whereas the "sugar and fat" dietary pattern was negatively associated with IC changes. Identification and promotion of healthy dietary patterns in older adults may inform future health policies and research.
PURPOSE: The WHO has proposed a novel model of healthy aging called intrinsic capacity (IC). However, the association between dietary patterns and IC is unclear. We aimed to investigate the prospective associations between dietary patterns and IC trajectories over a 3-year period in community-dwelling Japanese adults aged ≥ 60 years. METHODS: A prospective cohort study which contained nutritional status, mental status, and physical function was used. A validated 34-item food frequency questionnaire was used to determine dietary intake and to derive five dietary patterns ("fruits and vegetables", "sugar and fat", "salt and pickles", "noodle and alcohol", and "protein-rich") using principal component analysis. The composite IC score was calculated as the mean of the locomotion Z-score, cognition Z-score, psychological Z-score, vitality Z-score, and sensory regression score. A generalized estimating equation was applied for longitudinal analysis. RESULTS: A total of 666 enrollees were included in the analysis. The mean baseline IC was 0.07 ± 0.47. The "fruits and vegetables" dietary pattern was positively associated with composite IC score changes after adjusting for confounders (Q4 vs. Q1: mean difference [0.069], P = 0.019). Similarly, a positive correlation was observed for the "protein-rich" dietary pattern with the composite IC score changes (Q4 vs. Q1: mean difference [0.092], Q3 vs. Q1: mean difference [0.101], Q2 vs. Q1: mean difference [0.083]; all P < 0.01). However, adherence to the "sugar and fat" dietary pattern was negatively associated with composite IC score changes (Q4 vs. Q1: mean difference [- 0.072], P = 0.026). Furthermore, the percentage of animal protein to total protein intake showed a significant incremental trend in the "protein-rich" dietary pattern (P for trend < 0.001). CONCLUSION: The "fruits and vegetables" and "protein-rich" (animal-based protein in particular) dietary patterns were positively associated with IC changes, whereas the "sugar and fat" dietary pattern was negatively associated with IC changes. Identification and promotion of healthy dietary patterns in older adults may inform future health policies and research.
Authors: A L Darling; R J F Manders; S Sahni; K Zhu; C E Hewitt; R L Prince; D J Millward; S A Lanham-New Journal: Osteoporos Int Date: 2019-03-21 Impact factor: 4.507
Authors: Matteo Cesari; Islene Araujo de Carvalho; Jotheeswaran Amuthavalli Thiyagarajan; Cyrus Cooper; Finbarr C Martin; Jean-Yves Reginster; Bruno Vellas; John R Beard Journal: J Gerontol A Biol Sci Med Sci Date: 2018-11-10 Impact factor: 6.053