Literature DB >> 34226496

Socio-economic position as a moderator of cardiometabolic outcomes in patients receiving psychotropic treatment associated with weight gain: results from a prospective 12-month inception cohort study and a large population-based cohort.

Philippe Conus1, Chin B Eap2,3,4,5, Céline Dubath6, Mehdi Gholam-Rezaee7, Jennifer Sjaarda6,8, Axel Levier6, Nuria Saigi-Morgui6, Aurélie Delacrétaz6, Anaïs Glatard6, Radoslaw Panczak9, Christoph U Correll10,11,12, Alessandra Solida1, Kerstin Jessica Plessen13, Armin von Gunten14, Zoltan Kutalik8,15.   

Abstract

Weight gain and metabolic complications are major adverse effects of many psychotropic drugs. We aimed to understand how socio-economic status (SES), defined as the Swiss socio-economic position (SSEP), is associated with cardiometabolic parameters after initiation of psychotropic medications known to induce weight gain. Cardiometabolic parameters were collected in two Swiss cohorts following the prescription of psychotropic medications. The SSEP integrated neighborhood-based income, education, occupation, and housing condition. The results were then validated in an independent replication sample (UKBiobank), using educational attainment (EA) as a proxy for SES. Adult patients with a low SSEP had a higher risk of developing metabolic syndrome over one year versus patients with a high SSEP (Hazard ratio (95% CI) = 3.1 (1.5-6.5), n = 366). During the first 6 months of follow-up, a significant negative association between SSEP and body mass index (BMI), weight change, and waist circumference change was observed (25 ≤ age < 65, n = 526), which was particularly important in adults receiving medications with the highest risk of weight gain, with a BMI difference of 0.86 kg/m2 between patients with low versus high SSEP (95% CI: 0.03-1.70, n = 99). Eventually, a causal effect of EA on BMI was revealed using Mendelian randomization in the UKBiobank, which was notably strong in high-risk medication users (beta: -0.47 SD EA per 1 SD BMI; 95% CI: -0.46 to -0.27, n = 11,314). An additional aspect of personalized medicine was highlighted, suggesting the patients' SES represents a significant risk factor. Particular attention should be paid to patients with low SES when initiating high cardiometabolic risk psychotropic medications.

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Year:  2021        PMID: 34226496     DOI: 10.1038/s41398-021-01482-9

Source DB:  PubMed          Journal:  Transl Psychiatry        ISSN: 2158-3188            Impact factor:   6.222


  3 in total

1.  Lifestyle behaviors, metabolic disturbances, and weight gain in psychiatric inpatients treated with weight gain-associated medication.

Authors:  Maria S Simon; Barbara Barton; Anja Zagler; Katharina Engl; Leonora Rihs; Catherine Glocker; Richard Musil
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2022-07-01       Impact factor: 5.270

2.  Ethnic inequities in multimorbidity among people with psychosis: a retrospective cohort study.

Authors:  D Fonseca de Freitas; M Pritchard; H Shetty; M Khondoker; J Nazroo; R D Hayes; K Bhui
Journal:  Epidemiol Psychiatr Sci       Date:  2022-07-18       Impact factor: 7.818

3.  The psychosis metabolic risk calculator (PsyMetRiC) for young people with psychosis: International external validation and site-specific recalibration in two independent European samples.

Authors:  Benjamin I Perry; Frederik Vandenberghe; Nathalia Garrido-Torres; Emanuele F Osimo; Marianna Piras; Javier Vazquez-Bourgon; Rachel Upthegrove; Claire Grosu; Victor Ortiz-Garcia De La Foz; Peter B Jones; Nermine Laaboub; Miguel Ruiz-Veguilla; Jan Stochl; Celine Dubath; Manuel Canal-Rivero; Pavan Mallikarjun; Aurélie Reymond-Delacrétaz; Nicolas Ansermot; Emilio Fernandez-Egea; Severine Crettol; Franziska Gamma; Kerstin J Plessen; Philippe Conus; Golam M Khandaker; Graham K Murray; Chin B Eap; Benedicto Crespo-Facorro
Journal:  Lancet Reg Health Eur       Date:  2022-08-19
  3 in total

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