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Table 3 The relationship between PLT and sarcopenia parameters in the Bushehr Health (BEH) Program

From: Association between platelet, white blood cell count, platelet to white blood cell ratio and sarcopenia in community-dwelling older adults: focus on Bushehr Elderly Health (BEH) program

Outcome variable Analytic Model All Male Female
β (95% CI) P-value β (95% CI) P-value β (95% CI) P-value
a
ASM Unadjusted −0.0135 (−0.0157 to −.0114) <  0.001 −0.0006(−0.0006 to 0.0019) 0.649 −0.0034 (−0.0053 to −0.0015) <  0.001
Model 1 −0.0118(− 0.0138 to − 0.0098) <  0.001 − 0.0015(− 0.0039 to 0.0008) 0.206 −0.0034 (− 0.0052 to − 0.0015) <  0.001
Model 2 −.0113 (−.0135 to −.0090) <  0.001 −.0024 (−.0050 to .0001) 0.069 −.0044 (−.0065 to −.0023) <  0.001
Model 3 −.0118(−.0141 to −.0094) <  0.001 −.0025 (−.0051 to .0000) 0.054 −.0033 (−.0051 to-.0015) <  0.001
Model 4 −.0086 (−.0108 to −.0064) <  0.001 −.0021 (−.0047 to .0003) 0.097 −.0033 (−.0051 to −.0015) <  0.001
Handgrip Unadjusted −0.0300 (− 0.0354 to − 0.0245) <  0.001 0.0002 (− 0.0072 to 0.0077) 0.947 −0.0047 (− 0.0091 to − 0.0003) 0.033
Model 1 − 0.0262 (−.0311 to − 0.0212) <  0.001 −.0030 (−.0096 to .0036) 0.370 −.0050(−.0089 to −.0010) 0.013
Model 2 −.0229 (−.0284 to −.0174) <  0.001 −.0044 (−.0118 to .0029) 0.241 −.0053 (−.0099 to −.0007) 0.023
Model 3 −.0219 (−.0279 to −.0159) <  0.001 −.0055 (−.0146 to .0035) 0.231 −.0040 (−.0090 to .0010) 0.118
Model 4 −.0145(−.0204 to −.0087) <  0.001 −.0042 (−.0133 to .0048) 0.359 −.0032 (−.0083 to .0018) 0.215
gait speed Unadjusted −.0004 (−.0006 to −.0003) <  0.001 −.0000 (−.0002 to .0002) 0.901 −.0000 (−.0003 to .0001) 0.533
Model 1 −.0004 (−.0006 to −.0002) <  0.001 −.0001 (−.0003 to .0001) 0.332 −.0000 (−.0002 to .0001) 0.549
Model 2 −.0003 (−.0005 to −.0001) 0.001 −.0000 (−.0003 to .0002) 0.905 −.0000 (−.0003 to.0001) 0.616
Model 3 −.0002 (−.0004 to −.0000 0.043 −.0001 (−.0004 to .0002) 0.551 .0001 (−.0001 to .0003) 0.471
Model 4 −.0001 (−.0003 to .0000) 0.188 −.0000 (−.0004 to .0002) 0.628 .0000 (−.0001 to .0003) 0.513
SPPB Unadjusted −.0024 (−.0035 to −.0013) <  0.001 .0001 (−.0013 to.0016) 0.858 −.0010 (−.0027 to .0006 0.209
Model 1 −.0022 (−.0032 to −.0012) <  0.001 −.0002 (−.0016 to .0011) 0.698 −.0012 (−.0028 to .0003) 0.115
Model 2 −.0020 (−.0032 to −.0008) 0.001 −.0000 (−.0016 to .0015) 0.915 −.0017(−.0036 to .0001) 0.068
Model 3 −.0011 (−.0025 to .0002) 0.119 .0006 (−.0013 to .0025) 0.534 −.0006 (−.0027 to.0013) 0.522
Model 4 −.0008 (−.0022 to .0006) 0.272 .0007 (−.0011 to .0027) 0.430 −.0008 (−.0029 to .0012) 0.447
  1. Multivariate linear regression was used for analysis
  2. Model 1 adjusted for age, marital
  3. Model 2 adjusted for Model 1+ smoking, metabolic syndrome, and the number of chronic diseasesb
  4. Model 3 adjusted for Model 2 + anti-inflammatory medications, anti-PLT medications, anti-diabetic medications, anti-hyperlipidemic medications, HTN medications, IADL, and BMI
  5. Model 4 adjusted for Model 3 + Hgb, TG, and Creatinine
  6. BEH Bushehr elderly health, ASM Appendicular skeletal muscle mass, SPPB Short Physical Performance Battery; HTN Hypertension, IADL Instrumental activities of daily living, WHR waist to hip ratio, BMI Body mass index, Hgb Hemoglobin, WBC White blood cells, HbA1c hemoglobin A1c, HDL high-density lipoproteins, ALK-P Alkaline phosphatase, TG triglycerides
  7. a PLT concentration was used as an independent variable
  8. bChronic diseases included: liver diseases, lung diseases, cardiovascular disease, Hypertension, diabetes mellitus, thyroid diseases, osteoarthritis, and rheumatoid arthritis