Literature DB >> 34620997

Phase angle and diabetes in community-dwelling older adults: cross-sectional analysis from the Malaysian elders longitudinal research (MELoR) study.

Sumaiyah Mat1,2,3, Maw Pin Tan4,5,6, Mas Sahidayana Mohktar5,7, Shahrul Bahyah Kamaruzzaman6, Fatimah Ibrahim8,9,10.   

Abstract

OBJECTIVE: To evaluate the role of PhA in diabetes in a large population of older adults with a high prevalence of diabetes in order to gain new insights on the potential diagnostic and prognostic role of PhA in individuals with diabetes.
DESIGN: Cross-sectional study.
SETTING: Teaching Hospital. PARTICIPANTS: 1085 individuals aged 55 years or over. MEASUREMENTS: Phase Angle was obtained using bioimpedance analysis with the Bodystat QuadScan® 4000. Diabetes mellitus was considered present with fasting hyperglycaemia (serum fasting glucose >6.66 mmol/l), HbA1c > 42 mmol/mol (6.1%), or self-reported Diabetes or the consumption of glucose-lowering agents.
RESULTS: The mean age of the (standard deviation) of the 1,085 participants was 68.11 (7.12) years and 60.7% were women. Among male participants, individuals with PhA within the lowest quartile (PhA ≤4.9) were significantly more likely to have diabetes mellitus [odds Ratio (95% confidence interval, CI), 2.02 (1.17-3.47)] following adjustments for age, body mass index and other comorbidities. The above relationship was attenuated following further adjustment hypoglycaemic medications. Men on oral hypoglycaemic agents had significantly reduced PhA [mean difference (95% CI), -0.44 (-0.67 to -0.22)]. No significant relationship between PhA and diabetes existed among women.
CONCLUSION: The association between lower PhA (≤4.9) in men aged 55 and over and diabetes which is accounted for by oral hypoglycaemic agents. The mechanisms underlying this relationship remain unclear. This relationship should also be evaluated further to determine the potential of PhA as a prognostic tool for diabetes.
© 2021. The Author(s), under exclusive licence to Springer Nature Limited.

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Year:  2021        PMID: 34620997     DOI: 10.1038/s41430-021-01020-2

Source DB:  PubMed          Journal:  Eur J Clin Nutr        ISSN: 0954-3007            Impact factor:   4.884


  12 in total

1.  Bioimpedance phase angle indicates catabolism in Type 2 diabetes.

Authors:  M Dittmar; H Reber; G J Kahaly
Journal:  Diabet Med       Date:  2015-02-18       Impact factor: 4.359

2.  Accelerated loss of skeletal muscle strength in older adults with type 2 diabetes: the health, aging, and body composition study.

Authors:  Seok Won Park; Bret H Goodpaster; Elsa S Strotmeyer; Lewis H Kuller; Robert Broudeau; Candace Kammerer; Nathalie de Rekeneire; Tamara B Harris; Ann V Schwartz; Frances A Tylavsky; Yong-wook Cho; Anne B Newman
Journal:  Diabetes Care       Date:  2007-03-15       Impact factor: 19.112

3.  Phase angle, frailty and mortality in older adults.

Authors:  Emilee R Wilhelm-Leen; Yoshio N Hall; Ralph I Horwitz; Glenn M Chertow
Journal:  J Gen Intern Med       Date:  2014-01       Impact factor: 5.128

4.  Prevalence of diabetes in Malaysia and usefulness of HbA1c as a diagnostic criterion.

Authors:  W M Wan Nazaimoon; S H Md Isa; W B Wan Mohamad; A S Khir; N A Kamaruddin; I M Kamarul; N Mustafa; I S Ismail; O Ali; B A K Khalid
Journal:  Diabet Med       Date:  2013-03-23       Impact factor: 4.359

Review 5.  Assessment of adult malnutrition and prognosis with bioelectrical impedance analysis: phase angle and impedance ratio.

Authors:  Henry C Lukaski; Ursula G Kyle; Jens Kondrup
Journal:  Curr Opin Clin Nutr Metab Care       Date:  2017-09       Impact factor: 4.294

Review 6.  Bioelectrical phase angle and impedance vector analysis--clinical relevance and applicability of impedance parameters.

Authors:  Kristina Norman; Nicole Stobäus; Matthias Pirlich; Anja Bosy-Westphal
Journal:  Clin Nutr       Date:  2012-06-12       Impact factor: 7.324

7.  The pros and cons of diagnosing diabetes with A1C.

Authors:  Enzo Bonora; Jaakko Tuomilehto
Journal:  Diabetes Care       Date:  2011-05       Impact factor: 19.112

8.  Increasing muscle mass to improve metabolism.

Authors:  Alexandra C McPherron; Tingqing Guo; Nichole D Bond; Oksana Gavrilova
Journal:  Adipocyte       Date:  2013-04-01       Impact factor: 4.534

9.  Prevalence, risk factors and health outcomes associated with polypharmacy among urban community-dwelling older adults in multi-ethnic Malaysia.

Authors:  Li Min Lim; Megan McStea; Wen Wei Chung; Nuruljannah Nor Azmi; Siti Azdiah Abdul Aziz; Syireen Alwi; Adeeba Kamarulzaman; Shahrul Bahyah Kamaruzzaman; Siew Siang Chua; Reena Rajasuriar
Journal:  PLoS One       Date:  2017-03-08       Impact factor: 3.240

10.  Glucose-independent segmental phase angles from multi-frequency bioimpedance analysis to discriminate diabetes mellitus.

Authors:  Min-Ho Jun; Soochan Kim; Boncho Ku; JungHee Cho; Kahye Kim; Ho-Ryong Yoo; Jaeuk U Kim
Journal:  Sci Rep       Date:  2018-01-12       Impact factor: 4.379

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  1 in total

1.  Gender Differences in Body Composition in Pre-Frail Older Adults With Diabetes Mellitus.

Authors:  Reshma Aziz Merchant; John Tshon Yit Soong; John E Morley
Journal:  Front Endocrinol (Lausanne)       Date:  2022-02-15       Impact factor: 5.555

  1 in total

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