» Articles » PMID: 32821140

Prevalence of Metabolic Syndrome and Association with Grip Strength in Older Adults: Findings from the HOPE Study

Overview
Publisher Dove Medical Press
Specialty Endocrinology
Date 2020 Aug 22
PMID 32821140
Citations 22
Authors
Affiliations
Soon will be listed here.
Abstract

Objective: To determine the prevalence of metabolic syndrome (MetS) in older adults and assess the association of MetS and adverse outcomes with handgrip strength (HGS), HGS/body weight (BWT), and HGS/body mass index (BMI).

Methods: A cross-sectional population study in Singapore. Data were collected on demographics, HGS, Timed-Up and Go (TUG), fasting glucose, lipid profile, blood pressure, waist circumference, frailty status, and cognition in 722 older adults ≥65 years old. MetS was defined using the Modified ATP III for Asians where at least three of the following conditions must be fulfilled, central obesity, high blood glucose (or diagnosed diabetes mellitus), high blood pressure (or diagnosed hypertension), low high-density lipoprotein, and high triglycerides. The waist circumference in the Modified ATP III for Asians is ≥90 cm for males or ≥80 cm for females. HGS and HGS normalized by BWT or BMI were used for the association.

Results: The prevalence of MetS in older adults was 41.0%, and those ≥85 years old 50.0%. The prevalence was higher in females ≥70 years old, with 8 in 10 females ≥85 years having MetS. After adjusting for age, years of education, physical exercise, as well as history of smoking and alcohol consumption, higher HGS normalized by BWT or BMI was significantly associated with lower odds of having MetS (OR: 0.51,95% CI 0.43-0.61, <0.01) and (OR: 0.13, 95% CI 0.07-0.24, <0.01).

Conclusion: Almost 1 in 2 older adults had MetS, with the prevalence in females much higher than that in males over 70 years old. Our findings suggest that both HGS/BWT and HGS/BMI had a significant negative association with MetS, its components, and adverse effects. Further studies are needed to validate the association and to determine optimal cutoffs of HGS/BWT and HGS/BMI for MetS, and the effectiveness of interventions in averting the risk.

Citing Articles

Burden, determinants and treatment status of metabolic syndrome among older adults in India: a nationally representative, community-based cross-sectional survey.

Basu S, Thirunavukarasu A, Maheshwari V, Zode M, Hassan R BMJ Public Health. 2025; 1(1):e000389.

PMID: 40017860 PMC: 11812726. DOI: 10.1136/bmjph-2023-000389.


Impact of serum carotenoids on cardiovascular mortality risk in middle-aged and elderly adults with metabolic syndrome.

Han J, Wang R, Bai L, Liu Y, Liao M, Zhang L Front Nutr. 2024; 11:1465972.

PMID: 39606575 PMC: 11598320. DOI: 10.3389/fnut.2024.1465972.


The Relationship between the Mediterranean Diet and Vascular Stiffness, Metabolic Syndrome, and Its Components in People over 65 Years of Age.

Gomez-Sanchez L, Gomez-Sanchez M, Garcia-Ortiz L, Agudo-Conde C, Lugones-Sanchez C, Gonzalez-Sanchez S Nutrients. 2024; 16(20).

PMID: 39458459 PMC: 11510127. DOI: 10.3390/nu16203464.


Examining determinants of control of metabolic syndrome among older adults with NCDs receiving service at NCD Plus clinics: multilevel analysis.

Suapumee N, Seeherunwong A, Wanitkun N, Chansatitporn N BMC Health Serv Res. 2024; 24(1):1118.

PMID: 39334103 PMC: 11429379. DOI: 10.1186/s12913-024-11562-3.


Clinical Management of Metabolic Syndrome Among the Population Attending Geriatric Outpatient Clinics in Qatar.

Mohieldeen Osman S, Sathian B, Bhaskaran B, Ramadan M, Saleh H, Abbas A Cureus. 2024; 16(8):e67826.

PMID: 39323693 PMC: 11423930. DOI: 10.7759/cureus.67826.


References
1.
Farr S, Yamada K, Butterfield D, Abdul H, Xu L, Miller N . Obesity and hypertriglyceridemia produce cognitive impairment. Endocrinology. 2008; 149(5):2628-36. PMC: 2329289. DOI: 10.1210/en.2007-1722. View

2.
Podsiadlo D, Richardson S . The timed "Up & Go": a test of basic functional mobility for frail elderly persons. J Am Geriatr Soc. 1991; 39(2):142-8. DOI: 10.1111/j.1532-5415.1991.tb01616.x. View

3.
Gami A, Witt B, Howard D, Erwin P, Gami L, Somers V . Metabolic syndrome and risk of incident cardiovascular events and death: a systematic review and meta-analysis of longitudinal studies. J Am Coll Cardiol. 2007; 49(4):403-14. DOI: 10.1016/j.jacc.2006.09.032. View

4.
Lu K, Zhao Y, Chen J, Hu D, Xiao H . Interactive association of sleep duration and sleep quality with the prevalence of metabolic syndrome in adult Chinese males. Exp Ther Med. 2020; 19(2):841-848. PMC: 6966124. DOI: 10.3892/etm.2019.8290. View

5.
Mankowski R, Aubertin-Leheudre M, Beavers D, Botoseneanu A, Buford T, Church T . Sedentary time is associated with the metabolic syndrome in older adults with mobility limitations--The LIFE Study. Exp Gerontol. 2015; 70:32-6. PMC: 4600654. DOI: 10.1016/j.exger.2015.06.018. View