TY - JOUR
T1 - Sociodemographic, lifestyle and clinical characteristics of energy-related depression symptoms
T2 - A pooled analysis of 13,965 depressed cases in 8 Dutch cohorts
AU - Vreijling, Sarah R.
AU - van Haeringen, Marije
AU - Milaneschi, Yuri
AU - Huider, Floris
AU - Bot, Mariska
AU - Amin, Najaf
AU - Beulens, Joline W.
AU - Bremmer, Marijke A.
AU - Elders, Petra J.
AU - Galesloot, Tessel E.
AU - Kiemeney, Lambertus A.
AU - van Loo, Hanna M.
AU - Picavet, H.S.J.
AU - Rutters, Femke
AU - van der Spek, Ashley
AU - van de Wiel, Anne M.
AU - van Duijn, Cornelia
AU - Feskens, Edith J.M.
AU - Hartman, Catharina A.
AU - Oldehinkel, Albertine J.
AU - Smit, Jan H.
AU - Verschuren, W.M.M.
AU - Willemsen, Gonneke
AU - de Geus, Eco J.C.
AU - Boomsma, Dorret I.
AU - Penninx, Brenda W.J.H.
AU - Lamers, Femke
AU - Jansen, Rick
PY - 2023/2/15
Y1 - 2023/2/15
N2 - Background: In a substantial subgroup of depressed patients, atypical, energy-related depression symptoms (e.g. increased appetite/weight, hypersomnia, loss of energy) tend to cluster with immuno-metabolic dysregulations (e.g. increased BMI and inflammatory markers). This clustering is proposed to reflect a more homogeneous depression pathology. This study examines to what extent energy-related symptoms are associated and share sociodemographic, lifestyle and clinical characteristics. Methods: Data were available from 13,965 participants from eight Dutch cohorts with DSM-5 lifetime major depression assessed by the Lifetime Depression Assessment Self-report (LIDAS) questionnaire. Information on four energy-related depression symptoms were extracted: energy loss, increased appetite, increased weight, and hypersomnia. Tetrachoric correlations between these symptoms, and associations of these symptoms with sociodemographic (sex, age, education), lifestyle (physical activity, BMI, smoking) and clinical characteristics (age of onset, episode duration, history, treatment and recency, and self-reported comorbidity) were computed. Results: Correlations between energy-related symptoms were overall higher than those with other depression symptoms and varied from 0.90 (increased appetite vs increased weight) to 0.11 (increased appetite vs energy loss). All energy-related symptoms were strongly associated with higher BMI and a more severe clinical profile. Patients with increased appetite were more often smokers, and only patients with increased appetite or weight more often had a self-reported diagnosis of PTSD (OR = 1.17, p = 2.91E-08) and eating disorder (OR = 1.40, p = 4.08E-17). Conclusions: The symptom-specific associations may have consequences for a profile integrating these symptoms, which can be used to reflect immuno-metabolic depression. They indicate the need to study immuno-metabolic depression at individual symptom resolution as a starting point.
AB - Background: In a substantial subgroup of depressed patients, atypical, energy-related depression symptoms (e.g. increased appetite/weight, hypersomnia, loss of energy) tend to cluster with immuno-metabolic dysregulations (e.g. increased BMI and inflammatory markers). This clustering is proposed to reflect a more homogeneous depression pathology. This study examines to what extent energy-related symptoms are associated and share sociodemographic, lifestyle and clinical characteristics. Methods: Data were available from 13,965 participants from eight Dutch cohorts with DSM-5 lifetime major depression assessed by the Lifetime Depression Assessment Self-report (LIDAS) questionnaire. Information on four energy-related depression symptoms were extracted: energy loss, increased appetite, increased weight, and hypersomnia. Tetrachoric correlations between these symptoms, and associations of these symptoms with sociodemographic (sex, age, education), lifestyle (physical activity, BMI, smoking) and clinical characteristics (age of onset, episode duration, history, treatment and recency, and self-reported comorbidity) were computed. Results: Correlations between energy-related symptoms were overall higher than those with other depression symptoms and varied from 0.90 (increased appetite vs increased weight) to 0.11 (increased appetite vs energy loss). All energy-related symptoms were strongly associated with higher BMI and a more severe clinical profile. Patients with increased appetite were more often smokers, and only patients with increased appetite or weight more often had a self-reported diagnosis of PTSD (OR = 1.17, p = 2.91E-08) and eating disorder (OR = 1.40, p = 4.08E-17). Conclusions: The symptom-specific associations may have consequences for a profile integrating these symptoms, which can be used to reflect immuno-metabolic depression. They indicate the need to study immuno-metabolic depression at individual symptom resolution as a starting point.
KW - Clinical characteristics
KW - Depression
KW - Depression symptoms
U2 - 10.1016/j.jad.2022.11.005
DO - 10.1016/j.jad.2022.11.005
M3 - Article
C2 - 36372132
AN - SCOPUS:85142898694
SN - 0165-0327
VL - 323
SP - 1
EP - 9
JO - Journal of Affective Disorders
JF - Journal of Affective Disorders
ER -
