Literature DB >> 36074315

Associations of somatic depressive symptoms with body mass index, systemic inflammation, and insulin resistance in primary care patients with depression.

Aubrey L Shell1, Michelle K Williams1, Jay S Patel2, Elizabeth A Vrany3, Robert V Considine4, Anthony J Acton4, Jesse C Stewart5.   

Abstract

The somatic depressive symptom cluster (including appetite and sleep disturbances) is more strongly associated with insulin resistance (a diabetes risk marker) than other depressive symptom clusters. Utilizing baseline data from 129 primary care patients with depression but no diabetes in the eIMPACT trial (Mage = 59 years, 78% female, 50% Black), we examined associations of somatic depressive symptoms with insulin resistance (HOMA-IR), body mass index (BMI), and high-sensitivity C-reactive protein (hsCRP). We tested BMI and hsCRP as mediators and race as a moderator of these relationships. Hyperphagia was positively associated HOMA-IR (β = 0.19, p = .048) and BMI (β = 0.30, p < .001); poor appetite was negatively associated with HOMA-IR (β = -0.24, p = .02); hypersomnia was positively associated with HOMA-IR (β = 0.28, p = .003), BMI (β = 0.26, p = .003), and hsCRP (β = 0.23, p = .01); and disturbed sleep was positively associated with hsCRP (β = 0.21, p = .04). BMI partially mediated hyperphagia and hypersomnia's associations with HOMA-IR; hsCRP partially mediated the hypersomnia-HOMA-IR association; and race moderated the hyperphagia-HOMA-IR association (positive for White participants but null for Black participants). People with depression experiencing hyperphagia and/or hypersomnia may be a subgroup with greater insulin resistance; BMI and hsCRP are likely pathways in these relationships. This study highlights the importance of considering the direction of somatic depressive symptoms in the context of cardiometabolic disease risk.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Body mass; Depression; Diabetes; Inflammation; Insulin resistance

Year:  2022        PMID: 36074315     DOI: 10.1007/s10865-022-00356-9

Source DB:  PubMed          Journal:  J Behav Med        ISSN: 0160-7715


  54 in total

1.  Race/ethnicity moderates the relationship between depressive symptom severity and C-reactive protein: 2005-2010 NHANES data.

Authors:  Stephanie M Case; Jesse C Stewart
Journal:  Brain Behav Immun       Date:  2014-05-22       Impact factor: 7.217

2.  Differential association of insulin resistance with cognitive and somatic symptoms of depression.

Authors:  A W Austin; J L Gordon; K L Lavoie; A Arsenault; K Dasgupta; S L Bacon
Journal:  Diabet Med       Date:  2014-05-14       Impact factor: 4.359

3.  C-reactive protein, depressive symptoms, and risk of diabetes: results from the English Longitudinal Study of Ageing (ELSA).

Authors:  Bonnie Au; Kimberley J Smith; Geneviève Gariépy; Norbert Schmitz
Journal:  J Psychosom Res       Date:  2014-07-22       Impact factor: 3.006

4.  Homeostasis model assessment closely mirrors the glucose clamp technique in the assessment of insulin sensitivity: studies in subjects with various degrees of glucose tolerance and insulin sensitivity.

Authors:  E Bonora; G Targher; M Alberiche; R C Bonadonna; F Saggiani; M B Zenere; T Monauni; M Muggeo
Journal:  Diabetes Care       Date:  2000-01       Impact factor: 19.112

Review 5.  Insulin action and resistance in obesity and type 2 diabetes.

Authors:  Michael P Czech
Journal:  Nat Med       Date:  2017-07-11       Impact factor: 53.440

6.  The magnitude of association between overweight and obesity and the risk of diabetes: a meta-analysis of prospective cohort studies.

Authors:  Asnawi Abdullah; Anna Peeters; Maximilian de Courten; Johannes Stoelwinder
Journal:  Diabetes Res Clin Pract       Date:  2010-05-20       Impact factor: 5.602

Review 7.  Quantity and quality of sleep and incidence of type 2 diabetes: a systematic review and meta-analysis.

Authors:  Francesco P Cappuccio; Lanfranco D'Elia; Pasquale Strazzullo; Michelle A Miller
Journal:  Diabetes Care       Date:  2009-11-12       Impact factor: 19.112

8.  Six-item screener to identify cognitive impairment among potential subjects for clinical research.

Authors:  Christopher M Callahan; Frederick W Unverzagt; Siu L Hui; Anthony J Perkins; Hugh C Hendrie
Journal:  Med Care       Date:  2002-09       Impact factor: 2.983

9.  Clinical subtypes of depression are associated with specific metabolic parameters and circadian endocrine profiles in women: the power study.

Authors:  Giovanni Cizza; Donna S Ronsaville; Hayley Kleitz; Farideh Eskandari; Sejal Mistry; Sara Torvik; Nina Sonbolian; James C Reynolds; Marc R Blackman; Philip W Gold; Pedro E Martinez
Journal:  PLoS One       Date:  2012-01-03       Impact factor: 3.240

Review 10.  Risk factors for type 2 diabetes mellitus: An exposure-wide umbrella review of meta-analyses.

Authors:  Vanesa Bellou; Lazaros Belbasis; Ioanna Tzoulaki; Evangelos Evangelou
Journal:  PLoS One       Date:  2018-03-20       Impact factor: 3.240

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