Factors associated with measures of sarcopenia in pre and postmenopausal women
Abstract Background Menopause associated low serum estradiol marks varieties of derangements in muscle mass and functions leading to sarcopenia. This cross-sectional study was carried out to examine the factors associated with measures of sarcopenia; skeletal muscle mass (SMM), muscle strength and p...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2021-01-01
|
| Series: | BMC Women's Health |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12905-020-01153-9 |
| _version_ | 1831588096784728064 |
|---|---|
| author | Nirmala Rathnayake Gayani Alwis Janaka Lenora Sarath Lekamwasam |
| author_facet | Nirmala Rathnayake Gayani Alwis Janaka Lenora Sarath Lekamwasam |
| author_sort | Nirmala Rathnayake |
| collection | DOAJ |
| description | Abstract Background Menopause associated low serum estradiol marks varieties of derangements in muscle mass and functions leading to sarcopenia. This cross-sectional study was carried out to examine the factors associated with measures of sarcopenia; skeletal muscle mass (SMM), muscle strength and physical performance (PP) in a group of premenopausal (PrMW) and postmenopausal women (PMW) selected from Sri Lanka. Methods Randomly selected 184 PrMW and 166 PMW from Galle district, Sri Lanka were studied. SMM was measured with duel energy X ray absorptiometry and relative appendicular SMM index (RSMI; kg/m2) was calculated. Other measurements made include handgrip strength (HGS; kg) and gait speed (GS; m/s), anthropometric indices, consumption of macro and micronutrients, and pattern of physical activities (PA). A serum sample was analyzed for fasting insulin, serum estradiol and vitamin D. Variables which significantly correlated with RSMI, HGS and GS of PrMW and PMW were separately entered into multiple linear regression models to extract the associated factors. Results Mean (SD) age of PrMW and PMW were 42.4 (6.0) and 55.8 (3.8) years respectively. In the regression analysis, RSMI in PrMW showed significant associations with body mass index (BMI), HGS, total-body-fat-mass (TBFM) and weight (adjusted R2 = 0.85) and in PMW with BMI, weight, TBFM, hip-circumference and fasting insulin (adjusted R2 = 0.80). BMI showed the strongest association with RSMI in both PrMW (r = 0.87, R2 = 0.76) and in PMW (r = 0.87, R2 = 0.76). HGS in PrMW showed significant associations with appendicular SMM (ASMM), total-body-bone-mineral-content, vigorous PA score, age and weight (adjusted R2 = 0.33) and in PMW with ASMM and height (adjusted R2 = 0.23). ASMM showed the strongest association with HGS in both PrMW (r = 0.44, R2 = 0.20) and PMW (r = 0.44, R2 = 0.20). GS in PrMW showed significant associations with height, BMI and energy consumption (adjusted R2 = 0.13) while in PMW, with carbohydrate consumption and total-body-bone-mineral-density (adjusted R2 = 0.09). While in PrMW, height showed the strongest association with GS (r = 0.28, R2 = 0.08) in PMW, it was carbohydrate consumption (r = 0.24, R2 = 0.06). Conclusions Factors that are associated with different measures of sarcopenia are not uniform and vary widely from anthropometry to nutrient intake indicating that these measures are somewhat independent and are governed by different factors. |
| first_indexed | 2024-12-17T22:06:45Z |
| format | Article |
| id | doaj.art-5210bed717734101be5493133a2347e3 |
| institution | Directory Open Access Journal |
| issn | 1472-6874 |
| language | English |
| last_indexed | 2024-12-17T22:06:45Z |
| publishDate | 2021-01-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Women's Health |
| spelling | doaj.art-5210bed717734101be5493133a2347e32022-12-21T21:30:50ZengBMCBMC Women's Health1472-68742021-01-012111910.1186/s12905-020-01153-9Factors associated with measures of sarcopenia in pre and postmenopausal womenNirmala Rathnayake0Gayani Alwis1Janaka Lenora2Sarath Lekamwasam3Department of Nursing, Faculty of Allied Health Sciences, University of RuhunaDepartment of Anatomy, Faculty of Medicine, University of RuhunaDepartment of Physiology, Faculty of Medicine, University of RuhunaPopulation Health Research Centre, Department of Medicine, Faculty of Medicine, University of RuhunaAbstract Background Menopause associated low serum estradiol marks varieties of derangements in muscle mass and functions leading to sarcopenia. This cross-sectional study was carried out to examine the factors associated with measures of sarcopenia; skeletal muscle mass (SMM), muscle strength and physical performance (PP) in a group of premenopausal (PrMW) and postmenopausal women (PMW) selected from Sri Lanka. Methods Randomly selected 184 PrMW and 166 PMW from Galle district, Sri Lanka were studied. SMM was measured with duel energy X ray absorptiometry and relative appendicular SMM index (RSMI; kg/m2) was calculated. Other measurements made include handgrip strength (HGS; kg) and gait speed (GS; m/s), anthropometric indices, consumption of macro and micronutrients, and pattern of physical activities (PA). A serum sample was analyzed for fasting insulin, serum estradiol and vitamin D. Variables which significantly correlated with RSMI, HGS and GS of PrMW and PMW were separately entered into multiple linear regression models to extract the associated factors. Results Mean (SD) age of PrMW and PMW were 42.4 (6.0) and 55.8 (3.8) years respectively. In the regression analysis, RSMI in PrMW showed significant associations with body mass index (BMI), HGS, total-body-fat-mass (TBFM) and weight (adjusted R2 = 0.85) and in PMW with BMI, weight, TBFM, hip-circumference and fasting insulin (adjusted R2 = 0.80). BMI showed the strongest association with RSMI in both PrMW (r = 0.87, R2 = 0.76) and in PMW (r = 0.87, R2 = 0.76). HGS in PrMW showed significant associations with appendicular SMM (ASMM), total-body-bone-mineral-content, vigorous PA score, age and weight (adjusted R2 = 0.33) and in PMW with ASMM and height (adjusted R2 = 0.23). ASMM showed the strongest association with HGS in both PrMW (r = 0.44, R2 = 0.20) and PMW (r = 0.44, R2 = 0.20). GS in PrMW showed significant associations with height, BMI and energy consumption (adjusted R2 = 0.13) while in PMW, with carbohydrate consumption and total-body-bone-mineral-density (adjusted R2 = 0.09). While in PrMW, height showed the strongest association with GS (r = 0.28, R2 = 0.08) in PMW, it was carbohydrate consumption (r = 0.24, R2 = 0.06). Conclusions Factors that are associated with different measures of sarcopenia are not uniform and vary widely from anthropometry to nutrient intake indicating that these measures are somewhat independent and are governed by different factors.https://doi.org/10.1186/s12905-020-01153-9Muscle strengthPhysical performancePostmenopausal womenPremenopausal womenSkeletal muscle mass |
| spellingShingle | Nirmala Rathnayake Gayani Alwis Janaka Lenora Sarath Lekamwasam Factors associated with measures of sarcopenia in pre and postmenopausal women BMC Women's Health Muscle strength Physical performance Postmenopausal women Premenopausal women Skeletal muscle mass |
| title | Factors associated with measures of sarcopenia in pre and postmenopausal women |
| title_full | Factors associated with measures of sarcopenia in pre and postmenopausal women |
| title_fullStr | Factors associated with measures of sarcopenia in pre and postmenopausal women |
| title_full_unstemmed | Factors associated with measures of sarcopenia in pre and postmenopausal women |
| title_short | Factors associated with measures of sarcopenia in pre and postmenopausal women |
| title_sort | factors associated with measures of sarcopenia in pre and postmenopausal women |
| topic | Muscle strength Physical performance Postmenopausal women Premenopausal women Skeletal muscle mass |
| url | https://doi.org/10.1186/s12905-020-01153-9 |
| work_keys_str_mv | AT nirmalarathnayake factorsassociatedwithmeasuresofsarcopeniainpreandpostmenopausalwomen AT gayanialwis factorsassociatedwithmeasuresofsarcopeniainpreandpostmenopausalwomen AT janakalenora factorsassociatedwithmeasuresofsarcopeniainpreandpostmenopausalwomen AT sarathlekamwasam factorsassociatedwithmeasuresofsarcopeniainpreandpostmenopausalwomen |