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Table 3 Linear regression models in which baseline health behavior (HBSS2003) or its change (HBSSchange) predicts follow-up subjective well-being (SWBscore2012)

From: Changed health behavior improves subjective well-being and vice versa in a follow-up of 9 years

Model

HBSS2003

β

p-value

(standard error)

HBSSchange

p-value

SWBscore2003

β

p-value

(standard error)

Age

p-value

Gender

p-value

Education

p-value

Diseases

p-value

Negative life events

p-value

AIC

Model 1.0: Crude model, no covariates

 − 0.51

55,200

 < .001

(0.033)

Model 1.1: Model 1.0 + Age, gender, education, diseases

 − 0.47

 < 0.001

0.11

 < 0.001

 < 0.001

54,500

 < .001

(0.034)

Model 1.2: Model 1.1 + HBSSchange

 − 0.64

 < 0.001

 < 0.001

0.038

0.003

 < 0.001

51,100

p < .001

(0.040)

Model 1.3: Model 1.1 + SWBscore2003

 − 0.24

0.44

 < 0.001

0.26

0.023

 < 0.001

51,800

 < .001

 < .001

(0.031)

(0.0086)

Model 1.4: Model 1.1 + HBSSchange + SWBscore2003

 − 0.36

 < 0.001

0.44

 < 0.001

0.10

0.10

 < 0.001

48,600

 < .001

 < .001

(0.036)

(0.0088)

Final model 1.5: Model 1.4 + Negative life events

 − 0.35

 < 0.001

0.42

 < 0.001

0.45

0.038

 < 0.001

 < 0.001

48,300

 < .001

 < .001

(0.036)

(0.0088)

Model 1.6: HBSSchange + Age, gender, education, diseases

.018

 < .001

0.42

 < 0.001

0.002

51,300

Model 1.7: HBSSchange + SWBscore2003 + Age, gender, education, diseases

0.001

0.45

 < 0.001

0.88

 < 0.001

 < .001

48,700

 < .001

(0.0088)

  1. Results of Finnish population-based Health and Social Support study
  2. HBSS, Health behavior sum score indicating number of protective health behaviors; HBSSchange, Change in health behavior sum score during follow-up (categorical variable, c.f. Table 4); SWBscore, Subjective well-being score with reversed scoring (lower scores indicating better SWB)