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. 2021 Jun 26;11:360. doi: 10.1038/s41398-021-01482-9

Table 2.

Association between SSEP and BMI, weight change, and waist circumference change in the young, adult, and elderly population.

BMI (kg/m2) Weight change (%) WC change (%)
Young (13 ≤ age<25) N = 199 N = 199 Na = 145
SSEP, E (95% CI) 0 (−0.015; 0.015) 0.009 (−0.057; 0.076) 0.035 (−0.254; 0.326)
Low vs medium SSEP, E (95% CI) −0.39 (−0.84; 0.05) −1.65 (−3.62; 0.30) 3.15 (−5.96; 12.10)
Low vs high SSEP, E (95% CI) −0.18 (−0.68; 0.32) −0.50 (−2.70; 1.66) −0.88 (−10.72; 8.89)
Adult (25 ≤ age<65) N = 526 N = 526 Na = 390
SSEP, E (95% CI) 0.017 (0.004; 0.030)*b 0.063 (0.010; 0.116)* 0.141 (0.044; 0.244)**
Low vs medium SSEP, E (95% CI) 0.12 (−0.20; 0.42) 0.39 (−0.86; 1.61) 4.18 (1.87; 6.50)***
Low vs high SSEP, E (95% CI) 0.44 (0.06; 0.84)* 1.60 (0.09; 3.17)* 3.17 (0.25; 6.10)*
Senior (65 ≤ age < 97) N = 204 N = 204 Na = 117
SSEP, E (95% CI) −0.001 (−0.021; 0.018) 0.011 (−0.075; 0.095) −0.077 (−0.229; 0.083)
Low vs medium SSEP, E (95% CI) 0.31 (−0.21; 0.83) 1.23 (−1.02; 3.51) 1.35 (−2.88; 5.63)
Low vs high SSEP, E (95% CI) −0.12 (−0.68; 0.45) −0.36 (−2.79; 2.11) −2.12 (−6.74; 2.43)

Weight and WC change (in %) were calculated as the difference between the current value and the baseline value divided by the baseline value.

Analyses were performed during a 6-month follow-up period, adjusted by age, sex, first available BMI, diagnosis, risk of psychotropic drug-induced weight gain and were performed using linear mixed models adjusted in a Bayesian framework and using 1,000,000 Markov chain Monte Carlo iterations. SSEP effect was estimated (E (95% CI)) on a continuous and categorical scale (three SSEP categories: first quartile defines low SSEP, second and third quartiles medium SSEP, and fourth quartile high SSEP).

BMI body mass index, SSEP Swiss socio-economic position, WC waist circumference.

Significant p-values are indicated as *p ≤ 0.05; **p ≤ 0.01; ***p ≤ 0.001.

aThe number of patients included in this analysis was lower than for BMI and weight because of missing WC data.

bTo understand the magnitude of these results, one can imagine a fictional patient with a baseline BMI of 20, taking a high cardiometabolic risk psychotropic treatment and with a SSEP of 30 (lowest SSEP value in the adult cohort). His/her BMI would increase by 2.2 kg/m2 (95% CI BMI at 6 months: 21.8–22.6) in 6 months to a value of 22.2 kg/m2, while the same patient with a SSEP of 86 (highest SSEP value of the adult cohort) would increase his/her BMI by 1.2 kg/m2 (95% CI BMI at 6 months: 20.1–22.4) in 6 months to a value of 21.2 kg/m2, translating into a 1 kg/m2 BMI difference after 6 months of treatment attributable to their SSEP difference.