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Table 4 Multiple linear regression results of the association between lifestyle factors and mean PSS scores among 15-year-old adolescents from 2002鈥�2018 in low and high FAS groups

From: Trends in psychosomatic symptoms among adolescents and the role of lifestyle factors

听听

Low FAS (a) (N鈥�=鈥�1,769)

听

High FAS (b) (N鈥�=鈥�7,340)

听

B

Lower Bound

Upper Bound

B

Lower Bound

Upper Bound

Model 1

听听听听听听

Survey year

0.040**

0.010

0.071

0.080***

0.066

0.094

Girl

0.468***

0.386

0.549

0.502***

0.466

0.538

Regular breakfast

鈭掆赌�0.258***

鈭掆赌�0.350

鈭掆赌�0.165

鈭掆赌�0.233***

鈭掆赌�0.281

鈭掆赌�0.186

Dietary habit

0.059

鈭掆赌�0.026

0.143

0.041*

0.004

0.078

Physical activity

鈭掆赌�0.046

鈭掆赌�0.133

0.041

鈭掆赌�0.091***

鈭掆赌�0.128

鈭掆赌�0.055

Smoking

0.392***

0.261

0.523

0.280***

0.221

0.340

Alcohol drunkenness

0.274***

0.153

0.394

0.177***

0.125

0.228

Model 2

听听听听听听

Survey year

0.044

鈭掆赌�0.025

0.113

0.090***

0.051

0.129

Girl

0.468***

0.386

0.550

0.501***

0.465

0.536

Regular breakfast

鈭掆赌�0.232

鈭掆赌�0.474

0.011

鈭掆赌�0.147*

鈭掆赌�0.279

鈭掆赌�0.015

Dietary habit

0.089

鈭掆赌�0.128

0.306

0.052

鈭掆赌�0.049

0.154

Physical activity

鈭掆赌�0.076

鈭掆赌�0.310

0.157

鈭掆赌�0.084

鈭掆赌�0.186

0.017

Smoking

0.394*

0.072

0.716

0.268***

0.118

0.418

Alcohol drunkenness

0.234

鈭掆赌�0.043

0.512

0.013

鈭掆赌�0.114

0.141

Reg. breakfast * Year

鈭掆赌�0.008

鈭掆赌�0.077

0.060

鈭掆赌�0.026

鈭掆赌�0.063

0.012

Dietary habit * Year

鈭掆赌�0.010

鈭掆赌�0.072

0.053

鈭掆赌�0.003

鈭掆赌�0.032

0.026

Physical activity * Year

0.009

鈭掆赌�0.058

0.076

鈭掆赌�0.003

鈭掆赌�0.032

0.026

Smoking * Year

鈭掆赌�0.001

鈭掆赌�0.098

0.095

0.004

鈭掆赌�0.042

0.050

Alc. drunkenness * Year

0.014

鈭掆赌�0.072

0.100

0.057**

0.016

0.097

  1. ***/**/* = p鈥�&濒迟;.001/0.01/0.05, respectively; B鈥�=鈥塽nstandardized beta coefficients, Family Affluence Scale is a composite of four measures of family affluence (family car ownership, own bedroom, family holidays, and family computer ownership) [37], and dichotomized in each wave of data using standard deviations (low SES; 鈮� -1 SD, high SES; > -1 SD). PSS鈥�=鈥塒sychosomatic symptoms
  2. Model Fitness: Low FAS: Model 1: R2鈥�=鈥�0.175, R2-change鈥�=鈥�0.176; F(7, 1583)鈥�=鈥�48.234, p鈥�&濒迟;.001; Model 2: R2鈥�=鈥�0.175; R2-change鈥�=鈥�0.001; F(12,1578)鈥�=鈥�28.077, p鈥�&濒迟;.001; High FAS: Model 1: R2鈥�=鈥�0.179, R2-change鈥�=鈥�0.177; F(7, 6759)鈥�=鈥�209.006; P鈥�&濒迟;.001; Model 2: R2鈥�=鈥�0.178; R2-change鈥�=鈥�0.002; F(12, 6754)鈥�=鈥�123.209; p鈥�&濒迟;.001
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