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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