Lifestyle interventions are important to improve the mental and physical health outcomes of people with mental illness. However, referring patients to lifestyle interventions is still not a common practice for mental healthcare professionals (MHCPs) and their own lifestyle habits may impact this. The aim of this study was to investigate MHCPs’ personal lifestyle habits, their lifestyle history and referral practices, and if these are associated with their lifestyle habits, gender, and profession.

In this cross-sectional study, an online questionnaire was distributed across relevant MHCP’s in The Netherlands. Ordinal regression analyses on lifestyle habits, gender, profession, and lifestyle history and referral practices were conducted.

A total of the 1,607 included MHCPs, 87.6% finds that lifestyle should be part of every psychiatric treatment, but depending on which lifestyle factor, 55.1–84.0% take a lifestyle history, 29.7–41.1% refer to interventions, and less than half (44.2%) of smoking patients are advised to quit. MHCPs who find their lifestyle important, who are physically more active, females, and MHCPs with a nursing background take more lifestyle histories and refer more often. Compared to current smokers, MHCPs who never or formerly smoked have higher odds (2.64 and 3.40, respectively, p < 0.001) to advice patients to quit smoking.

This study indicates that MHCPs’ personal lifestyle habits, gender, and profession affect their clinical lifestyle practices, and thereby the translation of compelling evidence on lifestyle psychiatry to improved healthcare for patients.

Despite the huge progression in depression treatment, many individuals do not achieve full recovery. Studies demonstrated alternatives from neurotransmitter targets which are promising to predict and manage illness.

This study aimed to select metabolic factors linked to the severity of depression symptoms.

66 patients (36% males) with episode of depression from part of SANGUT study were assessed for laboratory biomarkers (insulin, glucose, ALT, AST, lipid profile, cortisol, hs-CRP), anthropometric measurements (BMI, body composition, WHR ratio) and severity of subjective depressive (BDI scale) and stress (PSS-10 scale) symptoms.

Maximum accuracy for differentiating mood symptoms was achieved by the combination of triglycerides (cut-off point > 101 mg/dl) and HDL cholesterol (cut-off point <=48 mg/dl). For differentiating stress symptoms the combination of cholesterol LDL (cut-off point > 108.35 mg/dl) and hs-CRP (cut-off point <=1.55 mg/dl) were most accurate. In the regression analysis model, total; LDL and HDL cholesterol, adjusting for HOMA-ir, cortisol, hs-CRP, triglycerides, age and body fat content were independently related to mood symptoms severity and explain 23.4% variability. Stress symptoms were related to cortisol, hs-CRP levels and WHR ratio adjusted for age, duration of illness, LDL cholesterol, and body fat content. The following model explains 19% variability of symptoms severity.

In patients with mood disorders, more attention should be paid to metabolic changes, predicting intensified depression traits. The results indicate lifestyle changes as an available to all patients tool for depression management.

No significant relationships.