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Table听4 Trend analysis of smoking cessation duration and parameters

From: Smoking cessation improves health status of patients with chronic diseases: evidence from a longitudinal study of older adults in China

听

Model 1

Model 2

尾 coefficient (95% CI)

P for trend

尾 coefficient (95% CI)

P for trend

Self-rate

0.03 (0.01, 0.05)

0.004

0.04 (0.02, 0.06)

0.001

EQ-5D-3L

-0.03 (-0.03, -0.02)

&濒迟;鈥�0.001

-0.03 (-0.04, -0.03)

&濒迟;鈥�0.001

Glucose

-2.07 (-4.23, 0.14)

0.066

-2.30 (-4.49, -0.07)

0.044

HbA1c

3.16 (1.93, 4.40)

&濒迟;鈥�0.001

3.29 (2.05, 4.55)

&濒迟;鈥�0.001

Uric acid

3.28 (0.73, 5.89)

0.012

3.79 (1.32, 6.33)

0.003

Walk time

-0.45 (-0.79, -0.12)

0.009

-0.47 (-0.84, -0.11)

0.011

  1. Model 1: Not adjusted. Model 2: Adjusted for demographic. Pre: Before cessation. Post: After cessation
  2. All blood analysis data was natural log-transformed, and thus, regression results were presented as percentage differences. Only significate outcomes were displayed
  3. Abbreviation: EQ-5D-3L EuroQoL 5-Dimension 3-Level, HbA1c glycosylated hemoglobin, type A1c
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