Table 3. Association between waist circumstance values and platelet indices among 17327 participants.
| Variable | Waist circumstance (cm, OR, 95% CI) | P–trend | |||||
|---|---|---|---|---|---|---|---|
| MPV (low/normal) | Total | <90/<80 | 90–/80– | 95–/85– | ≥100/≥90 | ||
| Univariate model | 1.00 | 1.06 (0.94, 1.19) | 1.04 (0.89, 1.21) | 1.09 (0.94, 1.25) | 0.229 | ||
| Multivariate model a | 1.00 | 1.08 (0.96, 1.22) | 1.07 (0.92, 1.25) | 1.14 (0.98, 1.32) | 0.069 | ||
| Male | <90 | 90– | 95– | ≥100 | |||
| Univariate model | 1.00 | 1.17 (0.98, 1.39) | 1.17 (0.91, 1.49) | 0.91 (0.67, 1.24) | 0.504 | ||
| Multivariate model b | 1.00 | 1.16 (0.97, 1.39) | 1.15 (0.90, 1.47) | 0.88 (0.65, 1.20) | 0.701 | ||
| Female | <80 | 80– | 85– | ≥90 | |||
| Univariate model | 1.00 | 1.02 (0.86, 1.21) | 1.03 (0.85, 1.25) | 1.21 (1.02, 1.44) | 0.050 | ||
| Multivariate model b | 1.00 | 1.04 (0.88, 1.23) | 1.06 (0.87, 1.29) | 1.26 (1.05, 1.50) | 0.020 | ||
| MPV (high/normal) | Total | <90/<80 | 90–/80– | 95–/85– | ≥100/≥90 | ||
| Univariate model | 1.00 | 0.98 (0.85, 1.12) | 1.02 (0.86, 1.21) | 0.78 (0.65, 0.94) | 0.038 | ||
| Multivariate model a | 1.00 | 0.94 (0.81, 1.07) | 0.96 (0.81, 1.14) | 0.72 (0.60, 0.87) | 0.003 | ||
| Male | <90 | 90– | 95– | ≥100 | |||
| Univariate model | 1.00 | 0.93 (0.74, 1.17) | 0.93 (0.67, 1.27) | 0.76 (0.51, 1.12) | 0.159 | ||
| Multivariate model b | 1.00 | 0.94 (0.75, 1.18) | 0.94 (0.68, 1.30) | 0.76 (0.51, 1.13) | 0.186 | ||
| Female | <80 | 80– | 85– | ≥90 | |||
| Univariate model | 1.00 | 0.95 (0.80, 1.13) | 0.99 (0.81, 1.21) | 0.73 (0.59, 0.90) | 0.013 | ||
| Multivariate model b | 1.00 | 0.93 (0.78, 1.11) | 0.96 (0.78, 1.18) | 0.70 (0.56, 0.87) | 0.004 | ||
| PDW (low/normal) | Total | <90/<80 | 90–/80– | 95–/85– | ≥100/≥90 | ||
| Univariate model | 1.00 | 1.19 (1.07, 1.32) | 1.31 (1.16, 1.48) | 1.90 (1.69, 2.13) | <0.001 | ||
| Multivariate model a | 1.00 | 1.21 (1.09, 1.35) | 1.35 (1.19, 1.54) | 2.00 (1.77, 2.27) | <0.001 | ||
| Male | <90 | 90– | 95– | ≥100 | |||
| Univariate model | 1.00 | 1.21 (1.03, 1.42) | 1.32 (1.07, 1.64) | 1.34 (1.05, 1.70) | <0.001 | ||
| Multivariate model b | 1.00 | 1.23 (1.05, 1.45) | 1.36 (1.09, 1.69) | 1.40 (1.09, 1.78) | <0.001 | ||
| Female | <80 | 80– | 85– | ≥90 | |||
| Univariate model | 1.00 | 1.20 (1.05, 1.38) | 1.36 (1.17, 1.59) | 2.19 (1.90, 2.52) | <0.001 | ||
| Multivariate model b | 1.00 | 1.22 (1.06, 1.40) | 1.39 (1.19, 1.63) | 2.27 (1.96, 2.63) | <0.001 | ||
| PDW (high/normal) | Total | <90/<80 | 90–/80– | 95–/85– | ≥100/≥90 | ||
| Univariate model | 1.00 | 0.88 (0.80, 0.96) | 0.72 (0.64, 0.81) | 0.68 (0.61, 0.77) | <0.001 | ||
| Multivariate model a | 1.00 | 0.88 (0.80, 0.96) | 0.72 (0.64, 0.81) | 0.68 (0.60, 0.77) | <0.001 | ||
| Male | <90 | 90– | 95– | ≥100 | |||
| Univariate model | 1.00 | 0.81 (0.71, 0.93) | 0.69 (0.57, 0.85) | 0.59 (0.47, 0.75) | <0.001 | ||
| Multivariate model b | 1.00 | 0.78 (0.68, 0.90) | 0.67 (0.54, 0.81) | 0.56 (0.44, 0.71) | <0.001 | ||
| Female | <80 | 80– | 85– | ≥90 | |||
| Univariate model | 1.00 | 0.97 (0.86, 1.09) | 0.79 (0.68, 0.91) | 0.77 (0.67, 0.89) | <0.001 | ||
| Multivariate model b | 1.00 | 0.96 (0.85, 1.08) | 0.77 (0.67, 0.89) | 0.75 (0.65, 0.86) | <0.001 | ||
95%CI: 95% confidence interval; fl = femtolitre; MPV: mean platelet volume; PDW: platelet distribution width; OR: odds ratio.
Subjects were divided into three subgroups according to the reference ranges for Chinese adults: low (<15%), normal (15–17%) and high (>17%) for platelet distribution width value, and mean platelet volume is low (<7 fl), normal (7–11 fl) and high (>11 fl) for mean platelet volume value, respectively.
Subjects were divided into four subgroups according to waist circumstance levels in sex-based groups. The cut-off points of waist circumstance were <90, 90–, 95—and ≥100 cm for male, and <80, 80–, 85—and ≥90 cm for female, respectively.
aAdjusted for age (continuous), gender, smoking status, passive smoke exposure, drinking status, physical activity, doing housework, hyperlipemia and hypertension
bAdjusted for age (continuous), smoking status, passive smoke exposure, drinking status, physical activity, doing housework, hyperlipemia and hypertension.