Solar insolation in springtime influences age of onset of bipolar I disorder

OBJECTIVE

To confirm prior findings that the larger the maximum monthly increase in solar insolation in springtime, the younger the age of onset of bipolar disorder.

METHOD

Data were collected from 5536 patients at 50 sites in 32 countries on six continents. Onset occurred at 456 locations in 57 countries. Variables included solar insolation, birth-cohort, family history, polarity of first episode and country physician density.

RESULTS

There was a significant, inverse association between the maximum monthly increase in solar insolation at the onset location, and the age of onset. This effect was reduced in those without a family history of mood disorders and with a first episode of mania rather than depression. The maximum monthly increase occurred in springtime. The youngest birth-cohort had the youngest age of onset. All prior relationships were confirmed using both the entire sample, and only the youngest birth-cohort (all estimated coefficients P < 0.001).

CONCLUSION

A large increase in springtime solar insolation may impact the onset of bipolar disorder, especially with a family history of mood disorders. Recent societal changes that affect light exposure (LED lighting, mobile devices backlit with LEDs) may influence adaptability to a springtime circadian challenge.

Weight gain with add-on second-generation antipsychotics in bipolar disorder: a naturalistic study

OBJECTIVE

Our aim was to investigate the prevalence and magnitude of weight gain in-patients with bipolar disorder when treated with a second-generation antipsychotic as an add-on treatment to a mood stabilizer in routine clinical practice.

METHODS

Data were derived from the quality register for bipolar disorder in Sweden (BipoläR). Patients with bipolar disorder who started add-on treatment with a SGA (n = 575) were compared at next yearly follow-up with age and sex matched patients who were only treated with a mood stabilizer (n = 566). The primary outcome measure was change in body weight and body mass index (BMI). We also assessed the prevalence of clinically significant weight gain defined as ≥7% gain in body weight.

RESULTS

The group that received add-on treatment with antipsychotics neither gained more weight nor were at higher risk for a clinically significant weight gain than the reference group. Instead, factors associated with clinically significant weight gain were female sex, young age, low-baseline BMI, and occurrence of manic/hypomanic episodes.

CONCLUSION

We found no evidence of an overall increased risk of weight gain for patients with bipolar disorder after receiving add-on SGA to a mood stabilizer in a routine clinical setting.

AUTOMATIC SEGMENTATION OF PELVIS FOR BRACHYTHERAPY OF PROSTATE

Advanced model-based iterative reconstruction algorithms in quantitative computed tomography (CT) perform automatic segmentation of tissues to estimate material properties of the imaged object. Compared with conventional methods, these algorithms may improve quality of reconstructed images and accuracy of radiation treatment planning. Automatic segmentation of tissues is, however, a difficult task. The aim of this work was to develop and evaluate an algorithm that automatically segments tissues in CT images of the male pelvis. The newly developed algorithm (MK2014) combines histogram matching, thresholding, region growing, deformable model and atlas-based registration techniques for the segmentation of bones, adipose tissue, prostate and muscles in CT images. Visual inspection of segmented images showed that the algorithm performed well for the five analysed images. The tissues were identified and outlined with accuracy sufficient for the dual-energy iterative reconstruction algorithm whose aim is to improve the accuracy of radiation treatment planning in brachytherapy of the prostate.