Patterns of Nutrient Intake in Relation to Sarcopenia and Its Components

Background: Despite the associations between individual nutrients and sarcopenia, we are aware of no information about the link between patterns of nutrient intake and odds of sarcopenia and its components. The present study aimed to examine the association between nutrient-based dietary patterns and sarcopenia and its components among the Iranian adult population. Methods: In this population-based, cross-sectional study, we enrolled 300 elderly adults (150 men and 150 women) aged ≥55 years by using a cluster random sampling method. Dietary intakes of the study population were assessed using a validated food frequency questionnaire. Principal component analysis was conducted to derive nutrient patterns based on a daily intake of 33 nutrients. Muscle mass, muscle strength, and gait speed were measured according to standard methods. Sarcopenia and its components were defined based on the European Working Group on Sarcopenia. Results: Three major nutrient-based dietary patterns were identified: (1) the “pro-vit pattern” that was high in pantothenic (B5), cobalamin (B12), calcium, protein, phosphor, riboflavin (B2), zinc, cholesterol, saturated fat, folate, niacin (B3), selenium, vitamin D, vitamin K, and vitamin A; (2) the “anti-inflammatory” pattern, which was rich in polyunsaturated fat, monounsaturated fat, copper, vitamin E, omega-3, magnesium, iron, pyridoxine (B6), sodium, and caffeine; and (3) the “carbo-vit” patternm which is characterized by high intake of fructose, glucose, dietary fiber, biotin, potassium, thiamin (B1), vitamin C, and chromium. After adjusting for confounders, subjects in the top tertile of the anti-inflammatory pattern had lower odds of sarcopenia (OR 0.25; 95% CI 0.10–0.63) and low muscle strength (OR: 0.46; 95% CI: 0.22–0.96) than those in the bottom tertile. Greater adherence to the carbo-vit pattern was inversely associated with the odds of low gait speed (OR: 0.46; 95% CI: 0.235–0.93). Conclusion: Major nutrient-based dietary patterns were significantly associated with sarcopenia and its components. Further studies are required to confirm our findings.

[1]  R. Heshmat,et al.  Inflammatory potential of the diet and risk of sarcopenia and its components , 2020, Nutrition Journal.

[2]  C. Celis-Morales,et al.  Associations between diet and handgrip strength: a cross-sectional study from UK Biobank , 2020, Mechanisms of Ageing and Development.

[3]  C. la Vecchia,et al.  Association between Nutrient-Based Dietary Patterns and Bladder Cancer in Italy , 2020, Nutrients.

[4]  C. Jagger,et al.  Effects of dietary patterns and low protein intake on sarcopenia risk in the very old: The Newcastle 85+ study , 2020, Clinical nutrition.

[5]  R. Heshmat,et al.  Sarcopenia disease in Iran: an overview , 2019, Journal of Diabetes & Metabolic Disorders.

[6]  J. Soldavini Krause's Food & The Nutrition Care Process , 2019, Journal of Nutrition Education and Behavior.

[7]  A. Villani,et al.  Greater adherence to a Mediterranean Diet is associated with better gait speed in older adults with type 2 diabetes mellitus. , 2019, Clinical nutrition ESPEN.

[8]  B. Strasser,et al.  Association Between Muscular Strength and Mortality in Clinical Populations: A Systematic Review and Meta-Analysis. , 2019, Journal of the American Medical Directors Association.

[9]  Hidemi Ito,et al.  Associations of Nutrient Patterns with the Prevalence of Metabolic Syndrome: Results from the Baseline Data of the Japan Multi-Institutional Collaborative Cohort Study , 2019, Nutrients.

[10]  C. Won,et al.  Sarcopenia Is Associated with Cognitive Impairment Mainly Due to Slow Gait Speed: Results from the Korean Frailty and Aging Cohort Study (KFACS) , 2019, International journal of environmental research and public health.

[11]  J. Reginster,et al.  Association between dietary nutrient intake and sarcopenia in the SarcoPhAge study , 2019, Aging Clinical and Experimental Research.

[12]  S. Robinson,et al.  Dietary Patterns, Skeletal Muscle Health, and Sarcopenia in Older Adults , 2019, Nutrients.

[13]  M. Cesari,et al.  Association Between Gait Speed With Mortality, Cardiovascular Disease and Cancer: A Systematic Review and Meta-analysis of Prospective Cohort Studies. , 2018, Journal of the American Medical Directors Association.

[14]  H. Woodrow,et al.  : A Review of the , 2018 .

[15]  Adam D. Seal,et al.  Nutritional Epidemiology. , 2018, Current developments in nutrition.

[16]  N. Peel,et al.  The Association Between Gait Speed and Cognitive Status in Community-Dwelling Older People: A Systematic Review and Meta-analysis. , 2018, The journals of gerontology. Series A, Biological sciences and medical sciences.

[17]  Changwei Li,et al.  Handgrip strength is associated with insulin resistance and glucose metabolism in adolescents: Evidence from National Health and Nutrition Examination Survey 2011 to 2014 , 2018, Pediatric diabetes.

[18]  Yuhong Zhao,et al.  Handgrip strength is positively related to blood pressure and hypertension risk: results from the National Health and nutrition examination survey , 2018, Lipids in Health and Disease.

[19]  C. Cooper,et al.  Diet Quality and Sarcopenia in Older Adults: A Systematic Review , 2018, Nutrients.

[20]  A. Feizi,et al.  Do patterns of nutrient intake predict self-reported anxiety, depression and psychological distress in adults? SEPAHAN study. , 2018, Clinical nutrition.

[21]  E. Mohammadi,et al.  Barriers and facilitators related to the implementation of a physiological track and trigger system: A systematic review of the qualitative evidence , 2017, International journal for quality in health care : journal of the International Society for Quality in Health Care.

[22]  M. Delgado-Rodríguez,et al.  Systematic review and meta-analysis. , 2017, Medicina intensiva.

[23]  J. Tur,et al.  Western and Mediterranean Dietary Patterns and Physical Activity and Fitness among Spanish Older Adults , 2017, Nutrients.

[24]  M. Yekaninejad,et al.  Relationship between major dietary patterns and sarcopenia among menopausal women , 2017, Aging Clinical and Experimental Research.

[25]  L. D. de Groot,et al.  Differences in Nutrient Intake and Biochemical Nutrient Status Between Sarcopenic and Nonsarcopenic Older Adults-Results From the Maastricht Sarcopenia Study. , 2016, Journal of the American Medical Directors Association.

[26]  J. Woo,et al.  A Prospective Cohort Study to Examine the Association Between Dietary Patterns and Sarcopenia in Chinese Community-Dwelling Older People in Hong Kong. , 2016, Journal of the American Medical Directors Association.

[27]  A. Feizi,et al.  Nutrient patterns and their relation to general and abdominal obesity in Iranian adults: findings from the SEPAHAN study , 2016, European Journal of Nutrition.

[28]  D. Reeds,et al.  Fish oil-derived n-3 PUFA therapy increases muscle mass and function in healthy older adults. , 2015, The American journal of clinical nutrition.

[29]  H. Menz,et al.  FRI0544 Non-Structural Factors Associated with Current and New Foot Pain: Data from the Tasmanian Older Adult Cohort Study , 2015 .

[30]  S. Perna,et al.  Novel Insights on Nutrient Management of Sarcopenia in Elderly , 2015, BioMed research international.

[31]  L. Peng,et al.  Sarcopenia in Asia: consensus report of the Asian Working Group for Sarcopenia. , 2014, Journal of the American Medical Directors Association.

[32]  T. O’Sullivan,et al.  The use of hand grip strength as a predictor of nutrition status in hospital patients. , 2014, Clinical nutrition.

[33]  R. Heshmat,et al.  Sarcopenia and its determinants among Iranian elderly (SARIR): study protocol , 2012, Journal of Diabetes & Metabolic Disorders.

[34]  Won-Young Lee,et al.  Vitamin D deficiency is associated with sarcopenia in older Koreans, regardless of obesity: the Fourth Korea National Health and Nutrition Examination Surveys (KNHANES IV) 2009. , 2011, The Journal of clinical endocrinology and metabolism.

[35]  G. Giles,et al.  Associations Between Dietary Nutrient Intake and Muscle Mass and Strength in Community‐Dwelling Older Adults: The Tasmanian Older Adult Cohort Study , 2010, Journal of the American Geriatrics Society.

[36]  J. Baeyens,et al.  Sarcopenia: European consensus on definition and diagnosis , 2010, Age and ageing.

[37]  P. Mirmiran,et al.  Reliability and relative validity of an FFQ for nutrients in the Tehran Lipid and Glucose Study , 2009, Public Health Nutrition.

[38]  P. Boffetta,et al.  Nutrient patterns and risk of squamous cell carcinoma of the esophagus: a factor analysis in uruguay. , 2008, Anticancer research.

[39]  David R. Thomas,et al.  Loss of skeletal muscle mass in aging: examining the relationship of starvation, sarcopenia and cachexia. , 2007, Clinical nutrition.

[40]  M. Visser,et al.  Inflammatory markers and loss of muscle mass (sarcopenia) and strength. , 2006, The American journal of medicine.

[41]  R. Baumgartner,et al.  Cytokine-related aging process. , 2004, The journals of gerontology. Series A, Biological sciences and medical sciences.

[42]  Katherine L Tucker,et al.  Empirically derived eating patterns using factor or cluster analysis: a review. , 2004, Nutrition reviews.

[43]  Eli Carmeli,et al.  The biochemistry of aging muscle , 2002, Experimental Gerontology.

[44]  S. McKiernan,et al.  Mitochondrial DNA deletion mutations , 2002 .

[45]  K. Toyka,et al.  Assessing grip strength in healthy individuals and patients with immune‐mediated polyneuropathies , 2000, Muscle & nerve.

[46]  S. Heymsfield,et al.  Appendicular skeletal muscle mass: measurement by dual-photon absorptiometry. , 1990, The American journal of clinical nutrition.

[47]  Subashan Perera,et al.  Gait Speed Predicts Incident Disability: A Pooled Analysis. , 2016, The journals of gerontology. Series A, Biological sciences and medical sciences.

[48]  B. Ainsworth,et al.  Guidelines for data processing analysis of the International Physical Activity Questionnaire (IPAQ) - Short and long forms , 2005 .

[49]  Mindy Seering,et al.  Study protocol. , 1992, Occasional paper.