Psychiatric Status across Body Mass Index in a Mediterranean Spanish Population

Systematic review and meta-analysis of predictors of adjustment disorders in adults

BACKGROUND

The diagnosis of adjustment disorder is common in clinical practice, yet there is lack of research on the etiology and epidemiology of adjustment disorders. The goal of this systematic review was to evaluate predictors of adjustment disorders in adults.

METHODS

We conducted systematic searches in MEDLINE, EMBASE, and PsycINFO. We included 70 studies that examined thirteen theoretically-derived and predefined predictors of adjustment disorders with a total of 3,449,374 participants.

RESULTS

We found that female gender, younger age, unemployed status, stress, physical illness and injury, low social support, and a history of mental health disorders predicted adjustment disorders. Most of these predictors differentiated individuals with adjustment disorders from individuals with no mental health disorders. Participants with adjustment disorders were more likely to have experienced accidents than were those with posttraumatic stress disorder but were less likely to have experienced assaults and abuse, neglect, and maltreatment. More research is needed to identify factors that differentiate adjustment disorders from other mental health disorders.

LIMITATIONS

Because very few studies adjusted for confounders (e.g., demographic variables, mental health histories, and a variety of stressors), it was not possible to identify independent associations between predictors and adjustment disorders.

CONCLUSIONS

We identified a number of factors that predicted adjustment disorders compared to no mental health diagnosis. The majority of studies were rated as moderate or high in risk of bias, suggesting that more rigorous research is needed to confirm the relationships we detected.

The association between body mass index and postpartum depression: A population-based study

BACKGROUND

Postpartum depression (PPD) reportedly affects between 6.5-19% of all new mothers. Identifying those at greatest risk for PPD has implications for prevention, early detection and intervention. While the relationship between extremes of body mass index (BMI) and depression has been frequently studied, the association between BMI and PPD is less understood.

METHODS

Prospective cohort of all women with live singleton births in Sweden 1997-2008. We calculated the relative risk (RR) for PPD in relation to each woman's BMI and depression history. PPD diagnosis was based on a clinical diagnosis of depression within the first postpartum year.

RESULTS

First trimester BMI measurements were available for 611,506 women. Low BMI (< 18.5) RR_adj = 1.52, [95% CI: 1.30-1.78] and high BMI (> 35) RR_adj = 1.23, [95% CI: 1.04-1.45] were associated with increased PPD risk. Women with a depression history had an increased risk with low BMI (RR_adj = 1.51, [95% CI: 1.17-1.95]).

LIMITATIONS

Only first births were analyzed, potentially underestimating PPD incidence. Clinical data from health registries offers limited resolution regarding the specificity of diagnoses and incomplete sensitivity if women do not seek care.

CONCLUSIONS

First trimester of pregnancy BMI is associated with PPD risk. This risk is further modified by depression history. While low BMI places all women at risk for PPD, being overweight increases risk of PPD only in women without a history of depression. Future research should explore potentially modifiable mechanisms involved in the relationship between PPD and BMI and should also examine interventional strategies for pregnant women at the extremes of BMI and/or with a depression history.