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Naito Y, Yasuda T, Kitae H, Takagi T, Mizushima K, Koyoma T, Inoue R, Ouchi N, Adachi A, Kamitani T, Matoba S. A cross-sectional study on the relationship between nutrient/food intake and gut microbiota in frailty among older community residents: The Kyotango study. J Clin Biochem Nutr 2024; 75:161-173. [PMID: 39345290 PMCID: PMC11425074 DOI: 10.3164/jcbn.24-93] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2024] [Accepted: 06/25/2024] [Indexed: 10/01/2024] Open
Abstract
In strategies to extend a healthy lifespan, early detection and prevention of frailty are critical. The purpose of this study was to analyze the current state and clinical risk factors of frailty among community-dwelling older to conduct a cross-sectional analysis of the individuals, correlation between frailty and nutrient intake, dietary diversity, and dietary patterns, and to elucidate the correlation between frailty-related dietary factors and the gut microbiota. The study included 786 participants aged ≥65 years from the Kyotango Multipurpose Cohort Study who had available data on their gut microbiota. Frailty was quantitatively assessed by selecting 32 items from the previously reported frailty index, with those scoring ≥0.21 classified as frailty (n = 119) and those with scores <0.21 as non-frailty (n = 667), followed by group comparisons. The frailty group had significantly higher values and rates than the non-frailty group for the following items: age, obesity (in females only), diabetes, hypertension, history of cancer treatment, polypharmacy, disturbed sleep quality, low physical activity, serum insulin levels, and high-sensitivity C-reactive protein. The frailty group had significantly lower levels of nutrients, including plant proteins, potassium (K), magnesium (Mg), iron (Fe), copper (Cu), vitamins B and C, folic acid, and total, soluble, and insoluble dietary fiber. When analyzed by food groups of dietary fiber, the frailty group had significantly lower intakes of soy products and non-green-yellow vegetables, specifically. The Japanese Diet Index score (rJDI12) was significantly lower in the frailty group, with significant deficiencies in soy products and mushrooms included in the rJDI12. Cluster analysis of the Spearman correlation values between nutrient intake related to frailty and the gut microbiota abundance revealed a positive correlation between the cluster containing dietary fiber and the abundance of the phylum Bacillota, including the [Eubacterium]_eligens_group. In conclusion, our findings clarify the current state of frailty among older community residents and suggest the importance of a diverse range of plant-based foods, including soy products and non-green yellow vegetables, through correlation analysis with nutrients and food groups, and partially reveal the involvement of the gut microbiota.
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Affiliation(s)
- Yuji Naito
- Human Immunology and Nutrition Science, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kamigyo-ku, Kyoto 602-8566, Japan
| | - Takeshi Yasuda
- Molecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kamigyo-ku, Kyoto 602-8566, Japan
| | - Hiroaki Kitae
- Molecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kamigyo-ku, Kyoto 602-8566, Japan
| | - Tomohisa Takagi
- Molecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kamigyo-ku, Kyoto 602-8566, Japan
- Department for Medical Innovation Translational Medical Science, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kamigyo-ku, Kyoto 602-8566, Japan
| | - Katsura Mizushima
- Human Immunology and Nutrition Science, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kamigyo-ku, Kyoto 602-8566, Japan
| | - Teruhide Koyoma
- Epidemiology for Community Health and Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kamigyo-ku, Kyoto 602-8566, Japan
| | - Ryo Inoue
- Laboratory of Animal Science, Department of Applied Biological Sciences, Faculty of Agriculture, Setsunan University, Hirakata, Japan
| | - Norihiro Ouchi
- Department of Cardiovascular Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kamigyo-ku, Kyoto 602-8566, Japan
- Department of Longevity and Community Epidemiology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kamigyo-ku, Kyoto 602-8566, Japan
- Kyotango City Yasaka Hospital, Kyotango, Japan
| | - Atsuo Adachi
- Department of Cardiovascular Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kamigyo-ku, Kyoto 602-8566, Japan
- Department of Longevity and Community Epidemiology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kamigyo-ku, Kyoto 602-8566, Japan
- Kyotango City Yasaka Hospital, Kyotango, Japan
| | - Tadaaki Kamitani
- Department of Cardiovascular Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kamigyo-ku, Kyoto 602-8566, Japan
- Department of Longevity and Community Epidemiology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kamigyo-ku, Kyoto 602-8566, Japan
- Kyotango City Yasaka Hospital, Kyotango, Japan
| | - Satoaki Matoba
- Department of Cardiovascular Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kamigyo-ku, Kyoto 602-8566, Japan
- Department of Longevity and Community Epidemiology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kamigyo-ku, Kyoto 602-8566, Japan
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Guo K, Wang Q, Zhang L, Qiao R, Huo Y, Jing L, Wang X, Song Z, Li S, Zhang J, Yang Y, Mahe J, Liu Z. Relationship between changes in the triglyceride glucose-body mass index and frail development trajectory and incidence in middle-aged and elderly individuals: a national cohort study. Cardiovasc Diabetol 2024; 23:304. [PMID: 39152445 PMCID: PMC11330012 DOI: 10.1186/s12933-024-02373-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Accepted: 07/22/2024] [Indexed: 08/19/2024] Open
Abstract
BACKGROUND Insulin resistance is linked to an increased risk of frailty, yet the comprehensive relationship between the triglyceride glucose-body mass index (TyG-BMI), which reflects weight, and frailty, remains unclear. This relationship is investigated in this study. METHODS Data from 9135 participants in the China Health and Retirement Longitudinal Study (2011-2020) were analysed. Baseline TyG-BMI, changes in the TyG-BMI and cumulative TyG-BMI between baseline and 2015, along with the frailty index (FI) over nine years, were calculated. Participants were grouped into different categories based on TyG-BMI changes using K-means clustering. FI trajectories were assessed using a group-based trajectory model. Logistic and Cox regression models were used to analyse the associations between the TyG-BMI and FI trajectory and frail incidence. Nonlinear relationships were explored using restricted cubic splines, and a linear mixed-effects model was used to evaluate FI development speed. Weighted quantile regression was used to identify the primary contributing factors. RESULTS Four classes of changes in the TyG-BMI and two FI trajectories were identified. Individuals in the third (OR = 1.25, 95% CI: 1.10-1.42) and fourth (OR = 1.83, 95% CI: 1.61-2.09) quartiles of baseline TyG-BMI, those with consistently second to highest (OR = 1.49, 95% CI: 1.32-1.70) and the highest (OR = 2.17, 95% CI: 1.84-2.56) TyG-BMI changes, and those in the third (OR = 1.20, 95% CI: 1.05-1.36) and fourth (OR = 1.94, 95% CI: 1.70-2.22) quartiles of the cumulative TyG-BMI had greater odds of experiencing a rapid FI trajectory. Higher frail risk was noted in those in the fourth quartile of baseline TyG-BMI (HR = 1.42, 95% CI: 1.28-1.58), with consistently second to highest (HR = 1.23, 95% CI: 1.12-1.34) and the highest TyG-BMI changes (HR = 1.58, 95% CI: 1.42-1.77), and those in the third (HR = 1.10, 95% CI: 1.00-1.21) and fourth quartile of cumulative TyG-BMI (HR = 1.46, 95% CI: 1.33-1.60). Participants with persistently second-lowest to the highest TyG-BMI changes (β = 0.15, 0.38 and 0.76 respectively) and those experiencing the third to fourth cumulative TyG-BMI (β = 0.25 and 0.56, respectively) demonstrated accelerated FI progression. A U-shaped association was observed between TyG-BMI levels and both rapid FI trajectory and higher frail risk, with BMI being the primary factor. CONCLUSION A higher TyG-BMI is associated with the rapid development of FI trajectory and a greater frail risk. However, excessively low TyG-BMI levels also appear to contribute to frail development. Maintaining a healthy TyG-BMI, especially a healthy BMI, may help prevent or delay the frail onset.
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Affiliation(s)
- Kai Guo
- The School of public health, Inner Mongolia University of Science and Technology Baotou Medical College, Baotou, China
| | - Qi Wang
- The School of public health, Inner Mongolia University of Science and Technology Baotou Medical College, Baotou, China
| | - Lin Zhang
- The School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
- Suzhou Industrial Park Monash Research Institute of Science and Technology, Monash University, Suzhou, China
- Monash University-Southeast University Joint Research Institute (Suzhou), Southeast University, Suzhou, China
| | - Rui Qiao
- The School of public health, Inner Mongolia University of Science and Technology Baotou Medical College, Baotou, China
| | - Yujia Huo
- The School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
- Suzhou Industrial Park Monash Research Institute of Science and Technology, Monash University, Suzhou, China
- Monash University-Southeast University Joint Research Institute (Suzhou), Southeast University, Suzhou, China
| | - Lipeng Jing
- The School of Public Health, Lanzhou University, Lanzhou, China
| | - Xiaowan Wang
- The School of public health, Inner Mongolia University of Science and Technology Baotou Medical College, Baotou, China
| | - Zixuan Song
- The School of public health, Inner Mongolia University of Science and Technology Baotou Medical College, Baotou, China
| | - Siyu Li
- The School of public health, Inner Mongolia University of Science and Technology Baotou Medical College, Baotou, China
| | - Jinming Zhang
- The School of public health, Inner Mongolia University of Science and Technology Baotou Medical College, Baotou, China
| | - Yanfang Yang
- The School of public health, Inner Mongolia University of Science and Technology Baotou Medical College, Baotou, China
| | - Jinli Mahe
- The School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Zhengran Liu
- The School of public health, Inner Mongolia University of Science and Technology Baotou Medical College, Baotou, China.
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Hayashi F, Takemi Y. Differences in the Values and Related Factors of Eating a Balanced Meal among the Younger Generation in Japan. Nutrients 2024; 16:1855. [PMID: 38931210 PMCID: PMC11206250 DOI: 10.3390/nu16121855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2024] [Revised: 06/06/2024] [Accepted: 06/11/2024] [Indexed: 06/28/2024] Open
Abstract
This study examined young Japanese adults' values regarding the consumption of balanced meals consisting of staples, main dishes, and side dishes and how these values relate to demographics, socioeconomic status, nutrition knowledge, attitudes, skills, behaviors, and diet-related quality of life. Data were obtained from the "Survey on Dietary Habits of the Younger Generation" (2000 responses, ages 18-39), of which 1888 valid responses were analyzed. The principal component analysis identified three value patterns: PC1-valuable yet burdensome; PC2-environment-reliant, weak initiative; and PC3-low value due to hassle. Both PC1 and PC3 were associated with prioritizing prices in food choices and knowledge of a balanced meal. However, PC1 participants valued balanced meals and possessed meal preparation skills, whereas PC3 participants valued balanced meals less and had negative attitudes toward eating them. PC1 was positively associated with the frequency of eating balanced meals while PC3 was negatively associated. PC2 individuals had positive attitudes toward eating balanced meals but were less concerned about nutritional balance when choosing foods themselves. This study highlights the importance of adopting an approach that aligns with the value patterns of the target population.
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Affiliation(s)
- Fumi Hayashi
- Faculty of Nutrition, Kagawa Nutrition University, 3-9-21 Chiyoda, Saitama 350-0288, Japan;
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Beydoun MA, Noren Hooten N, Fanelli-Kuczmaski MT, Maino Vieytes CA, Georgescu MF, Beydoun HA, Freeman DW, Evans MK, Zonderman AB. Growth Differentiation Factor 15 and Diet Quality Trajectory Interact to Determine Frailty Incidence among Middle-Aged Urban Adults. J Nutr 2024; 154:1652-1664. [PMID: 38479650 PMCID: PMC11130674 DOI: 10.1016/j.tjnut.2024.03.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Revised: 03/05/2024] [Accepted: 03/08/2024] [Indexed: 04/05/2024] Open
Abstract
BACKGROUND Elevated plasma growth differentiation factor 15 (GDF15) and poor diet quality may be associated with increased frailty incidence, although their interactive associations have not been assessed in urban middle-aged adults. OBJECTIVES We aimed to examine GDF15 and its interactive association with diet quality in relation to frailty incidence among a sample of middle-aged urban adults. METHODS The relationship between GDF15 and diet quality trajectories in relation to incident frailty was examined in a longitudinal study of participants in the Healthy Aging in Neighborhoods of Diversity across the Life Span (2004-2017). Serum GDF15 concentration and frailty incidence were primary exposure and outcome, respectively. Group-based trajectory models were used to assess diet quality trajectories (≤3 visits/participant, N = 945, N' = 2247 observations) using the Healthy Eating Index 2010 version (HEI-2010), Dietary Inflammatory Index, and mean adequacy ratio (MAR). Cox proportional hazards models were used, testing interactive associations of GDF15 and diet quality trajectories with frail/prefrail incidence (N = 400 frailty-free at first visit, N' = 604 observations, n = 168 incident frail/prefrail). RESULTS Both elevated GDF15 and lower diet quality trajectories were associated with a lower probability of remaining nonfrail (≤13 y follow-up). Among females, the "high diet quality" HEI-2010 trajectory had a hazard ratio (HR) of 0.15 [95% confidence interval (CI): 0.04, 0.54; P = 0.004; fully adjusted model] when compared with the "low diet quality" trajectory group. Among males only, there was an antagonistic interaction between lower HEI-2010 trajectory and elevated GDF15. Specifically, the HR for GDF15-frailty in the higher diet quality trajectory group (high/medium combined), and among males, was 2.69 (95% CI: 1.06, 6.62; P = 0.032), whereas among the lower diet quality trajectory group, the HR was 0.94 (95% CI: 0.49, 1.80; P = 0.86). Elevated GDF15 was independently associated with frailty among African American adults. CONCLUSIONS Pending replication, we found an antagonistic interaction between GDF15 and HEI-2010 trajectory in relation to frailty incidence among males.
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Affiliation(s)
- May A Beydoun
- Laboratory of Epidemiology and Population Sciences, NIA/NIH/IRP, Baltimore, MD, United States.
| | - Nicole Noren Hooten
- Laboratory of Epidemiology and Population Sciences, NIA/NIH/IRP, Baltimore, MD, United States
| | | | | | - Michael F Georgescu
- Laboratory of Epidemiology and Population Sciences, NIA/NIH/IRP, Baltimore, MD, United States
| | - Hind A Beydoun
- VA National Center on Homelessness Among Veterans, U.S. Department of Veterans Affairs, Washington, DC, United States; Department of Management, Policy, and Community Health, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, United States
| | - David W Freeman
- Department of Oncological Sciences, School of Medicine, University of Utah, Salt Lake City, UT, United States
| | - Michele K Evans
- Laboratory of Epidemiology and Population Sciences, NIA/NIH/IRP, Baltimore, MD, United States
| | - Alan B Zonderman
- Laboratory of Epidemiology and Population Sciences, NIA/NIH/IRP, Baltimore, MD, United States
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Watanabe D, Yoshida T, Watanabe Y, Yamada Y, Miyachi M, Kimura M. Frailty modifies the association of body mass index with mortality among older adults: Kyoto-Kameoka study. Clin Nutr 2024; 43:494-502. [PMID: 38184941 DOI: 10.1016/j.clnu.2024.01.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 11/27/2023] [Accepted: 01/02/2024] [Indexed: 01/09/2024]
Abstract
BACKGROUND & AIMS The differences in the association of body mass index (BMI) with mortality between older adults with and without frailty remain unclear. This study investigated this association in community-dwelling older adults with and without frailty. METHODS This prospective study included 10,912 adults aged ≥65 years who provided valid responses to a baseline mail survey questionnaire in the Kyoto-Kameoka Study in Japan. The BMI was calculated based on self-reported height and body weight and classified into four categories: <18.5, 18.5-21.4, 21.5-24.9, and ≥25.0 kg/m2. Frailty was evaluated using the validated Kihon Checklist and defined as a score of 7 or higher out of a possible 25 points. Mortality data were collected from 30 July 2011 to 30 November 2016. Hazard ratios (HR) for all-cause mortality were calculated using a multivariable Cox proportional hazards model. RESULTS During the 5.3 year median follow-up period (54,084 person-years), 1352 deaths were recorded. After adjusting for confounders, including lifestyle and medical history, compared with participants with a BMI of 21.5-24.9 kg/m2, those in the lower BMI category had a higher mortality HR, while those with a higher BMI displayed an inverse association with mortality (<18.5 kg/m2: HR: 1.85, 95% confidence interval [CI]: 1.58-2.17; 18.5-21.4 kg/m2: HR: 1.38, 95% CI: 1.21-1.58; and ≥25.0 kg/m2: HR: 0.80, 95% CI: 0.67-0.96). In a model stratified by frailty status, the BMI range with the lowest HR for mortality was 23.0-24.0 kg/m2 in non-frail older adults; however, in frail older adults, a higher BMI was inversely associated with mortality. CONCLUSIONS The relationship between BMI and mortality varies between individuals with and without frailty, with those experiencing frailty potentially benefiting from a higher BMI compared to those without frailty. This study suggests that frailty should be assessed when considering the optimal BMI for the lowest mortality risk among older adults.
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Affiliation(s)
- Daiki Watanabe
- Faculty of Sport Sciences, Waseda University, 2-579-15 Mikajima, Tokorozawa-city, Saitama 359-1192, Japan; National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17, Senrioka-Shimmachi, Settsu-city, Osaka 566-0002, Japan; Institute for Active Health, Kyoto University of Advanced Science, 1-1 Nanjo Otani, Sogabe-cho, Kameoka-city, Kyoto 621-8555, Japan.
| | - Tsukasa Yoshida
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17, Senrioka-Shimmachi, Settsu-city, Osaka 566-0002, Japan; Institute for Active Health, Kyoto University of Advanced Science, 1-1 Nanjo Otani, Sogabe-cho, Kameoka-city, Kyoto 621-8555, Japan; Senior Citizen's Welfare Section, Kameoka City Government, 8 Nonogami, Yasu-machi, Kameoka-city, Kyoto 621-8501, Japan; National Institute of Biomedical Innovation, National Institutes of Biomedical Innovation, Health and Nutrition, 7-6-8 Saito-Asagi, Ibaraki-city, Osaka 567-0085, Japan.
| | - Yuya Watanabe
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17, Senrioka-Shimmachi, Settsu-city, Osaka 566-0002, Japan; Institute for Active Health, Kyoto University of Advanced Science, 1-1 Nanjo Otani, Sogabe-cho, Kameoka-city, Kyoto 621-8555, Japan; Faculty of Sport Study, Biwako Seikei Sport College, 1204 Kitahira, Otsu-city, Shiga 520-0503, Japan.
| | - Yosuke Yamada
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17, Senrioka-Shimmachi, Settsu-city, Osaka 566-0002, Japan; Institute for Active Health, Kyoto University of Advanced Science, 1-1 Nanjo Otani, Sogabe-cho, Kameoka-city, Kyoto 621-8555, Japan; National Institute of Biomedical Innovation, National Institutes of Biomedical Innovation, Health and Nutrition, 7-6-8 Saito-Asagi, Ibaraki-city, Osaka 567-0085, Japan.
| | - Motohiko Miyachi
- Faculty of Sport Sciences, Waseda University, 2-579-15 Mikajima, Tokorozawa-city, Saitama 359-1192, Japan; National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17, Senrioka-Shimmachi, Settsu-city, Osaka 566-0002, Japan.
| | - Misaka Kimura
- Institute for Active Health, Kyoto University of Advanced Science, 1-1 Nanjo Otani, Sogabe-cho, Kameoka-city, Kyoto 621-8555, Japan; Laboratory of Applied Health Sciences, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kamigyo-ku, Kyoto-city, Kyoto 602-8566, Japan.
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Yeung SSY, Kwan M, Woo J. Composition of healthy diets for older persons. Curr Opin Clin Nutr Metab Care 2024; 27:17-23. [PMID: 37522819 DOI: 10.1097/mco.0000000000000972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/01/2023]
Abstract
PURPOSE OF REVIEW This study aims to review recent evidence (2022-2023) on the role of diet in promoting healthy aging in older adults. RECENT FINDINGS Current evidence of diet and healthy aging is limited to epidemiological studies. A healthy diet is beneficial for individual domains of intrinsic capacity, that is, cognition, locomotion, vitality, psychological, and/or sensory functions, with sex-specific differences reported. Only a few studies used the multidimensional concept of intrinsic capacity as an outcome. This review supports that a healthy diet for older adults consists of plenty of plant-based foods, adequate protein-rich foods, and healthy fats. Next to quantity, improving the quality and variety within food groups play a role in optimizing health. Data on the associations between adherence to national food-based dietary guidelines and intrinsic capacity are scarce. SUMMARY A healthy diet, centered on plant-based foods, adequate protein-rich foods and healthy fats, potentially promotes healthy aging. Future studies may evaluate the association between adherence to healthy dietary patterns (particularly national food-based dietary guidelines) and the multidimensional concept of intrinsic capacity, with consideration of sex-specific differences. Clinical trials are warranted to inform the causal effects of diet and outcomes related to intrinsic capacity.
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Affiliation(s)
- Suey S Y Yeung
- Jockey Club Institute of Ageing, The Chinese University of Hong Kong, Hong Kong, China
- Interdisciplinary School of Health Sciences, Faculty of Health Sciences, University of Ottawa, Ottawa, Canada
| | | | - Jean Woo
- Jockey Club Institute of Ageing, The Chinese University of Hong Kong, Hong Kong, China
- Institute of Health Equity
- Department of Medicine and Therapeutics
- Centre for Nutritional Studies, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
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Kuczmarski MF, Beydoun MA, Georgescu MF, Noren Hooten N, Mode NA, Evans MK, Zonderman AB. Pro-Inflammatory Diets Are Associated with Frailty in an Urban Middle-Aged African American and White Cohort. Nutrients 2023; 15:4598. [PMID: 37960250 PMCID: PMC10648548 DOI: 10.3390/nu15214598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 10/24/2023] [Accepted: 10/27/2023] [Indexed: 11/15/2023] Open
Abstract
Diet quality is a modifiable risk factor for frailty, but research on the association of frailty with dietary inflammatory potential is limited. The objective was to determine associations between diet quality assessed by the dietary inflammatory index (DII) with frailty status over time. Participants with both dietary and frailty data from the longitudinal Healthy Aging in Neighborhoods of Diversity across the Life Span (HANDLS) study were used (n = 2901, 43.5% male, 43.8% African American, 48.5 y mean baseline age, with a mean 8.7 y of follow-up). Group-based trajectory modeling identified two frailty (remaining non-frail or being pre-frail/frail over time) and three diet quality trajectory groups (high or medium pro-inflammatory and anti-inflammatory potentials). Multiple logistic regression found both medium pro-inflammatory and anti-inflammatory DII trajectory groups, compared to the high pro-inflammatory group, were positively associated with being non-frail over time for the overall sample, both sexes and races. Kaplan-Meier curves and log-rank test revealed anti-inflammatory DII scores were associated with lower risk for being pre-frail or frail. No longitudinal relationship existed between frailty status at baseline and annualized DII change, a check on reverse causality. This study contributes to our current knowledge providing longitudinal evidence of the link between anti-inflammatory DII score with lower frailty risk.
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Affiliation(s)
- Marie Fanelli Kuczmarski
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA; (M.A.B.); (M.F.G.); (N.N.H.); (N.A.M.); (M.K.E.); (A.B.Z.)
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Li Z, Qian L, Chu J, Liu Y, Maitiniyazi G, Chen Y, Cheng X, He J, Cheng L, Ou M, Wang J, Xia S. Diet Is Associated with Frailty in Lung Cancer: A Possible Role of Gut Microbiota. Nutrients 2023; 15:4298. [PMID: 37836582 PMCID: PMC10574134 DOI: 10.3390/nu15194298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 10/02/2023] [Accepted: 10/07/2023] [Indexed: 10/15/2023] Open
Abstract
This study investigated the associations between diet and frailty in lung cancer patients and the potential role of the gut microbiota involved. We assessed dietary intake and frailty status in 231 lung cancer patients by 3-day, 24-h dietary recalls and Fried frailty criteria, respectively, and collected 50 fecal samples for next-generation sequencing. A total of 75 (32.5%) patients were frail, which might be related to significantly lower intake of energy, protein, carbohydrate, dietary fiber, niacin, leucine, some minerals, and a poorer dietary quality as indicated by the Chinese Healthy Eating Index (p < 0.05). Among these, carbohydrate (OR = 0.98; 95% CI 0.96-0.99; p = 0.010), calcium (OR = 0.99; 95% CI 0.99-1.00; p = 0.025), and selenium (OR = 1.03; 95% CI 1.00-1.06; p = 0.022) were all significantly associated with frailty. A multivariate logistic regression analysis showed that the mean risk of frailty was 0.94 times lower (95% CI 0.90-0.99; p = 0.009) among participants with higher CHEI scores. Additionally, the frail patients demonstrated significantly lower gut microbiota β diversity (p = 0.001) and higher relative abundance of Actinobacteriota (p = 0.033). Frailty in lung cancer patients might be associated with insufficient nutrients intake and a poor dietary quality through gut microbiota regulation.
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Affiliation(s)
- Ziyuan Li
- Wuxi School of Medicine, Jiangnan University, Wuxi 214122, China; (Z.L.); (Y.L.); (Y.C.); (X.C.); (J.H.); (L.C.); (M.O.)
| | - Lei Qian
- Department of Rehabilitation, Wuxi Ninth People’s Hospital Affiliated to Soochow University, Wuxi 214063, China;
| | - Jianghui Chu
- Department of Cardiothoracic Surgery, Affiliated Hospital of Jiangnan University, Wuxi 214125, China;
| | - Yuan Liu
- Wuxi School of Medicine, Jiangnan University, Wuxi 214122, China; (Z.L.); (Y.L.); (Y.C.); (X.C.); (J.H.); (L.C.); (M.O.)
| | | | - Yue Chen
- Wuxi School of Medicine, Jiangnan University, Wuxi 214122, China; (Z.L.); (Y.L.); (Y.C.); (X.C.); (J.H.); (L.C.); (M.O.)
| | - Xinxin Cheng
- Wuxi School of Medicine, Jiangnan University, Wuxi 214122, China; (Z.L.); (Y.L.); (Y.C.); (X.C.); (J.H.); (L.C.); (M.O.)
| | - Jianyun He
- Wuxi School of Medicine, Jiangnan University, Wuxi 214122, China; (Z.L.); (Y.L.); (Y.C.); (X.C.); (J.H.); (L.C.); (M.O.)
| | - Lan Cheng
- Wuxi School of Medicine, Jiangnan University, Wuxi 214122, China; (Z.L.); (Y.L.); (Y.C.); (X.C.); (J.H.); (L.C.); (M.O.)
| | - Minmin Ou
- Wuxi School of Medicine, Jiangnan University, Wuxi 214122, China; (Z.L.); (Y.L.); (Y.C.); (X.C.); (J.H.); (L.C.); (M.O.)
| | - Jun Wang
- Department of Rehabilitation, Wuxi Ninth People’s Hospital Affiliated to Soochow University, Wuxi 214063, China;
| | - Shufang Xia
- Wuxi School of Medicine, Jiangnan University, Wuxi 214122, China; (Z.L.); (Y.L.); (Y.C.); (X.C.); (J.H.); (L.C.); (M.O.)
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9
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Miyake H, Kashino I, Nanri A, Mizoue T. Development of the Scores for Traditional and Modified Japanese Diets. Nutrients 2023; 15:3146. [PMID: 37513565 PMCID: PMC10386055 DOI: 10.3390/nu15143146] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 07/07/2023] [Accepted: 07/11/2023] [Indexed: 07/30/2023] Open
Abstract
Increasing attention is being paid to the role of diet quality in the prevention and management of non-communicable diseases. We developed a scoring system for the traditional Japanese diet and its modified version considering the dietary culture in Japan, dietary guidelines for the Japanese, and updated evidence for disease prevention. The traditional Japanese diet comprises white rice, miso soup, soybean products, vegetables, mushrooms, seaweeds, fish and shellfish, high-sodium foods, and green tea. In the modified Japanese diet, unprocessed or minimally refined rice and raw vegetables, milk and dairy products, and fruits were additionally considered, while salty food was reverse-scored. The cutoff for the intake frequency of each food/food group was determined with reference to a health survey of >12,000 workers. Among the participants in the validation study, we confirmed the nutritional gradient with increasing scores in the expected direction. The scores were closely correlated with the respondents' backgrounds, including occupational factors. This simple scoring system can be used for diet quality assessments and epidemiological research.
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Affiliation(s)
- Haruka Miyake
- Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo 162-8955, Japan (T.M.)
| | - Ikuko Kashino
- Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo 162-8955, Japan (T.M.)
- Section of Research of Collaboration and Partnership, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka 566-0002, Japan
| | - Akiko Nanri
- Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo 162-8955, Japan (T.M.)
- Department of Food and Health Sciences, International College of Arts and Sciences, Fukuoka Women’s University, Fukuoka 813-8529, Japan
| | - Tetsuya Mizoue
- Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo 162-8955, Japan (T.M.)
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10
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Shinonaga A, Matsumoto H, Uekawa M, Kuramoto A, Mitani S, Hagino H. Prevalence of frailty by age among patients who have undergone total hip arthroplasty. Geriatr Gerontol Int 2023; 23:246-247. [PMID: 36709561 DOI: 10.1111/ggi.14554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Accepted: 01/18/2023] [Indexed: 01/30/2023]
Affiliation(s)
- Atsushi Shinonaga
- Rehabilitation Center, Kawasaki Medical School Hospital, Kurashiki, Japan.,Integrated Medical Sciences, Graduate School of Medical Sciences, Faculty of Medicine, Tottori University, Yonago, Japan
| | - Hiromi Matsumoto
- Department of Physical Therapy, Faculty of Rehabilitation, Kawasaki University of Medical Welfare, Kurashiki, Japan
| | - Mana Uekawa
- Rehabilitation Center, Kawasaki Medical School Hospital, Kurashiki, Japan
| | - Akiho Kuramoto
- Rehabilitation Center, Kawasaki Medical School Hospital, Kurashiki, Japan
| | - Shigeru Mitani
- Department of Bone and Joint Surgery, Kawasaki Medical School, Kurashiki, Japan
| | - Hiroshi Hagino
- School of Health Science, Faculty of Medicine, Tottori University, Yonago, Japan
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11
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Watanabe D, Yoshida T, Nanri H, Watanabe Y, Itoi A, Goto C, Ishikawa-Takata K, Yamada Y, Fujita H, Miyachi M, Kimura M. Dose-Response Relationships between Diet Quality and Mortality among Frail and Non-Frail Older Adults: A Population-Based Kyoto-Kameoka Prospective Cohort Study. J Nutr Health Aging 2023; 27:1228-1237. [PMID: 38151874 DOI: 10.1007/s12603-023-2041-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 11/12/2023] [Indexed: 12/29/2023]
Abstract
OBJECTIVES Although better diet quality is inversely associated with mortality risk, the association between diet quality and mortality remains unclear in frail and non-frail older adults. Thus, we aimed to examine this association in older Japanese adults. DESIGN A prospective cohort study. SETTING AND PARTICIPANTS We used the data of 8,051 Japanese older adults aged ≥65 years in the Kyoto-Kameoka study. MESUREMENTS Dietary intake was estimated using a validated food frequency questionnaire. Diet quality was evaluated by calculating the adherence scores to the Japanese Food Guide Spinning Top (range, 0 [worst] to 80 [best]), which were stratified into quartiles. Frailty status was assessed using the validated self-administered Kihon Checklist (KCL) and the Fried phenotype (FP) model. Survival data were collected between February 15, 2012 and November 30, 2016. Statistical analysis was performed using the multivariate Cox proportional hazard analysis and the spline model. RESULTS During the median 4.75-year follow-up (36,552 person-years), we recorded 661 deaths. After adjusting for confounders, compared with the bottom adherence score quartile, the top quartile was associated with lower hazard ratio (HR) of mortality in frailty (HR, 0.73; 95% confidence interval [CI], 0.54-1.00) and non-frailty, as defined by the KCL (HR, 0.72; 95% CI, 0.52-1.01). In the spline model, regardless of frailty status defined by the KCL and FP model, adherence score showed a strongly dose-dependent inverse association with mortality up to approximately 55 points; however, no significant differences were observed thereafter. This association was similar to the results obtained in individuals with physical, cognitive, and depression as domains of KCL in the spline model. CONCLUSIONS Our findings demonstrate an L-shaped association between diet quality and mortality in both frail and non-frail individuals. This study may provide important knowledge for improving poor diet quality in older individuals with frailty or domains of frailty.
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Affiliation(s)
- D Watanabe
- Daiki Watanabe, RD, PhD, Faculty of Sport Sciences, Waseda University, 2-579-15 Mikajima, Tokorozawa-city, Saitama 359-1192, Japan. Tel.: +81-4-2947-6936. E-mail:
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12
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Faria ADCA, Martins MMFPS, Ribeiro OMPL, Ventura-Silva JMA, Fonseca EF, Ferreira LJM, Teles PJFC, Laredo-Aguilera JA. Multidimensional Frailty and Lifestyles of Community-Dwelling Older Portuguese Adults. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:14723. [PMID: 36429441 PMCID: PMC9691079 DOI: 10.3390/ijerph192214723] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 11/04/2022] [Accepted: 11/05/2022] [Indexed: 06/16/2023]
Abstract
(1) Background: Lifestyles are referred to as conditioning factors for the frailty of older adults. However, there are few studies that explore its association. The objective of the present study is to analyze the association between sociodemographic, clinical, and lifestyle factors of older adults people with multidimensional frailty. (2) Methods: Descriptive and correlational study carried out with older adults people registered in a Health Unit in Portugal. Data were collected through a sociodemographic and clinical questionnaire and application of the Individual Lifestyle Profile and Tilburg Frailty Index to assess the lifestyles and multidimensional frailty of older adults, respectively. This last instrument, being of a multidimensional nature, assesses not only physical, but also psychological and social frailty, with a cut-off point of 6. (3) Results: Of the 300 older adults who participated, most were female (60.3%) and had a mean age of 81.34 ± 6.75 years. Moreover, 60.3% of the sample were frail older adults. Gender, marital status, number of household members, number of chronic diseases, number of daily medications, self-perception of health status and lifestyle and use of a walking device were associated with multidimensional frailty (p ≤ 0.001). Healthy eating habits, physical activity, relational behaviour, preventive behaviour, and stress management were significantly associated with lower physical, psychological, and social frailty (p ≤ 0.001). (4) Conclusions: When community health workers are aware of multidimensional frailty predictors and their components, they can intervene early and, consequently, delay the onset and progression of frailty in older adults.
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Affiliation(s)
- Ana da Conceição Alves Faria
- Abel Salazar Biomedical Sciences Institute, University of Porto, Rua Jorge de Viterbo Ferreira 228, 4050-313 Porto, Portugal
- North Region Health Administration, 4000-447 Porto, Portugal
- CINTESIS@RISE, 4050-313 Porto, Portugal
| | | | | | - João Miguel Almeida Ventura-Silva
- Abel Salazar Biomedical Sciences Institute, University of Porto, Rua Jorge de Viterbo Ferreira 228, 4050-313 Porto, Portugal
- Centro Hospitalar Universitário de São João, 4200-319 Porto, Portugal
| | | | | | - Paulo João Figueiredo Cabral Teles
- School of Economics, University of Porto, 4200-465 Porto, Portugal
- Laboratory of Artificial Intelligence and Decision Support—INESC Porto LA, 4200-465 Porto, Portugal
| | - José Alberto Laredo-Aguilera
- Facultad de Fisioterapia y Enfermería, Campus de Fábrica de Armas, Universidad de Castilla-La Mancha, Av de Carlos III, nº 21, 45071 Toledo, Spain
- Multidisciplinary Research Group in Care (IMCU), University of Castilla-La Mancha, 45005 Toledo, Spain
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13
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Watanabe D, Yoshida T, Yamada Y, Watanabe Y, Yamada M, Fujita H, Miyachi M, Arai H, Kimura M. Combined use of two frailty tools in predicting mortality in older adults. Sci Rep 2022; 12:15042. [PMID: 36057638 PMCID: PMC9440890 DOI: 10.1038/s41598-022-19148-x] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 08/24/2022] [Indexed: 12/02/2022] Open
Abstract
We aimed to verify the combined use of two frailty tools in predicting mortality in older adults. We used the data of 10,276 Japanese older adults (aged ≥ 65 years) who provided valid responses to two frailty assessment tools in a mail survey in Japan's Kyoto‒Kameoka Prospective cohort study. Frailty status was categorized into four groups depending on the validated frailty screening index and Kihon Checklist, respectively: Non-frailty (n = 5960), Physical frailty (n = 223), Comprehensive frailty (n = 2211), and Combination (n = 1882) groups. Mortality data were collected between July 30, 2011, and November 30, 2016. We assessed the relationship between frailty status and all-cause mortality risk using multivariate Cox proportional hazards models. During a median follow-up of 5.3 years, we recorded 1257 deaths. After adjusting for confounders, the Combination group had the highest mortality risk compared with the other groups [Non-frailty: reference; Physical frailty: hazards ratio [HR], 0.99 (95% confidence interval [CI] 0.58 to 1.70); Comprehensive frailty: 1.91 (1.63 to 2.23); Combination: 2.85 (2.44 to 3.22)]. People who are positive for frailty in both instruments have a higher risk of death than those who are positive to one model.
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Affiliation(s)
- Daiki Watanabe
- Faculty of Sport Sciences, Waseda University, 2-579-15 Mikajima, Tokorozawa, Saitama, 359-1192, Japan.
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, 1-23-1 Toyama, Shinjuku-ku, Tokyo, 162-8636, Japan.
- Institute for Active Health, Kyoto University of Advanced Science, 1-1 Nanjo Otani, Sogabe-cho, Kameoka, Kyoto, 621-8555, Japan.
| | - Tsukasa Yoshida
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, 1-23-1 Toyama, Shinjuku-ku, Tokyo, 162-8636, Japan
- Institute for Active Health, Kyoto University of Advanced Science, 1-1 Nanjo Otani, Sogabe-cho, Kameoka, Kyoto, 621-8555, Japan
- Senior Citizen's Welfare Section, Kameoka City Government, 8 Nonogami, Yasumachi, Kameoka, Kyoto, 621-8501, Japan
| | - Yosuke Yamada
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, 1-23-1 Toyama, Shinjuku-ku, Tokyo, 162-8636, Japan
- Institute for Active Health, Kyoto University of Advanced Science, 1-1 Nanjo Otani, Sogabe-cho, Kameoka, Kyoto, 621-8555, Japan
| | - Yuya Watanabe
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, 1-23-1 Toyama, Shinjuku-ku, Tokyo, 162-8636, Japan
- Physical Fitness Research Institute, Meiji Yasuda Life Foundation of Health and Welfare, 150 Tobuki-machi, Hachioji, Tokyo, 192-0001, Japan
| | - Minoru Yamada
- Faculty of Human Sciences, University of Tsukuba, 3-29-1 Otsuka, Bunkyo-ku, Tokyo, 112-0012, Japan
| | - Hiroyuki Fujita
- Institute for Active Health, Kyoto University of Advanced Science, 1-1 Nanjo Otani, Sogabe-cho, Kameoka, Kyoto, 621-8555, Japan
| | - Motohiko Miyachi
- Faculty of Sport Sciences, Waseda University, 2-579-15 Mikajima, Tokorozawa, Saitama, 359-1192, Japan
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, 1-23-1 Toyama, Shinjuku-ku, Tokyo, 162-8636, Japan
| | - Hidenori Arai
- National Center for Geriatrics and Gerontology, 7-430 Morioka-cho, Obu, Aichi, 474-8511, Japan
| | - Misaka Kimura
- Institute for Active Health, Kyoto University of Advanced Science, 1-1 Nanjo Otani, Sogabe-cho, Kameoka, Kyoto, 621-8555, Japan
- Department of Nursing, Doshisha Women's College of Liberal Arts, 97-1 Minamihokotate, Kodo, Kyotanabe, Kyoto, 610-0395, Japan
- Laboratory of Applied Health Sciences, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kamigyo-ku, Kyoto, 602-8566, Japan
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