Tatsuro Inoue1,2, Akio Shimizu2,3, Junko Ueshima4, Kenta Murotani5, Ayano Nagano6, Yuria Ishida7, Kaori Kinoshita8, Yumiko Iizuka9, Shosuke Satake2,8,9,10, Yasumoto Matsui11, Hidenori Arai10, Keisuke Maeda12. 1. Department of Physical Therapy, Niigata University of Health and Welfare, 1398 Shimami-cho, Kita-ku, Niigata, 950-3198, Japan. 2. Department of Geriatric Medicine, Hospital, National Center for Geriatrics and Gerontology, 7-430 Morioka, Obu, Aichi, 474-8511, Japan. 3. Department of Health Science, Faculty of Health and Human Development, The University of Nagano, 8-49-7 Miwa, Nagano, Nagano, 380-8525, Japan. 4. Department of Clinical Nutrition and Food Service, NTT Medical Center Tokyo, Higashi-Gotanda, Tokyo, 141-8625, Japan. 5. Biostatistics Center, Kurume University, 67 Asahimachi, Kurume, 830-0011, Japan. 6. Department of Nursing, Nishinomiya Kyoritsu Neurosurgical Hospital, 11-1 Imazuyamanaka-cho, Nishinomiya, Hyogo, 663-8211, Japan. 7. Department of Nutrition, Aichi Medical University Hospital, 1-1 Yazakokarimata, Nagakute, Aichi, 480-1195, Japan. 8. Department of Frailty Research, Research Institute, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430 Morioka, Obu, Aichi, 474-8511, Japan. 9. Department of Nutrition Counseling, Hospital, National Center for Geriatrics and Gerontology, 7-430 Morioka, Obu, Aichi, 474-8511, Japan. 10. National Center for Geriatrics and Gerontology, 7-430 Morioka, Obu, Aichi, 474-8511, Japan. 11. Center for Frailty and Locomotive Syndrome, Hospital, National Center for Geriatrics and Gerontology, 7-430 Morioka, Obu, Aichi, 474-8511, Japan. 12. Department of Geriatric Medicine, Hospital, National Center for Geriatrics and Gerontology, 7-430 Morioka, Obu, Aichi, 474-8511, Japan. kskmaeda1701@gmail.com.
Abstract
BACKGROUND: Diet-induced inflammation may be associated with sarcopenia; however, few reports have examined this relationship. AIM: To examine the association between the dietary inflammatory index (DII) and sarcopenia in older adults who visited a frailty clinic in Japan. METHODS: This cross-sectional study used outpatient data from the Frailty Registry Study. The DII is an index of diet-induced inflammation, and a dietary assessment was performed using a brief self-administered diet history questionnaire to calculate the DII score. We classified DII scores by quartiles (Q1-Q4), and sarcopenia was diagnosed according to the Asian Working Group for Sarcopenia 2019 consensus. Logistic regression analyses for sarcopenia were performed. Age, sex, comorbidities, and physical activity were entered as confounding factors (Model 1) and Models 2, 3, and 4 with BMI, protein intake, and energy intake added to Model 1. RESULTS: We included 304 patients in the analysis (mean age, 77.6 ± 6.3 years; female, 67.4%). The prevalence of sarcopenia was 14.5%. Logistic regression analyses showed that DII scores were significantly associated with sarcopenia in Model 1 and 2 (Model 1, reference: Q1, Q4: OR 3.10, P = 0.020; Model 2, Q4: OR 3.40, P = 0,022) but not in Model 3 and 4. DISCUSSION: Diet-induced inflammation is associated with a higher likelihood of sarcopenia; however, this association disappeared after confounding for protein and energy intake. CONCLUSIONS: The results demonstrated that dietary protein and energy parameters were the main drivers for muscle health in medical patients.
BACKGROUND: Diet-induced inflammation may be associated with sarcopenia; however, few reports have examined this relationship. AIM: To examine the association between the dietary inflammatory index (DII) and sarcopenia in older adults who visited a frailty clinic in Japan. METHODS: This cross-sectional study used outpatient data from the Frailty Registry Study. The DII is an index of diet-induced inflammation, and a dietary assessment was performed using a brief self-administered diet history questionnaire to calculate the DII score. We classified DII scores by quartiles (Q1-Q4), and sarcopenia was diagnosed according to the Asian Working Group for Sarcopenia 2019 consensus. Logistic regression analyses for sarcopenia were performed. Age, sex, comorbidities, and physical activity were entered as confounding factors (Model 1) and Models 2, 3, and 4 with BMI, protein intake, and energy intake added to Model 1. RESULTS: We included 304 patients in the analysis (mean age, 77.6 ± 6.3 years; female, 67.4%). The prevalence of sarcopenia was 14.5%. Logistic regression analyses showed that DII scores were significantly associated with sarcopenia in Model 1 and 2 (Model 1, reference: Q1, Q4: OR 3.10, P = 0.020; Model 2, Q4: OR 3.40, P = 0,022) but not in Model 3 and 4. DISCUSSION: Diet-induced inflammation is associated with a higher likelihood of sarcopenia; however, this association disappeared after confounding for protein and energy intake. CONCLUSIONS: The results demonstrated that dietary protein and energy parameters were the main drivers for muscle health in medical patients.
Authors: Nitin Shivappa; Susan E Steck; Thomas G Hurley; James R Hussey; James R Hébert Journal: Public Health Nutr Date: 2013-08-14 Impact factor: 4.022
Authors: Alfonso J Cruz-Jentoft; Gülistan Bahat; Jürgen Bauer; Yves Boirie; Olivier Bruyère; Tommy Cederholm; Cyrus Cooper; Francesco Landi; Yves Rolland; Avan Aihie Sayer; Stéphane M Schneider; Cornel C Sieber; Eva Topinkova; Maurits Vandewoude; Marjolein Visser; Mauro Zamboni Journal: Age Ageing Date: 2019-01-01 Impact factor: 10.668