Treatment outcomes of depression: the pharmacogenomic research network antidepressant medication pharmacogenomic study.

BACKGROUND: The effectiveness of selective serotonin reuptake inhibitors (SSRIs) in patients with major depressive disorder (MDD) is controversial. AIMS: The clinical outcomes of subjects with nonpsychotic MDD were reported and compared with the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study outcomes to provide guidance on the effectiveness of SSRIs. METHODS: Subjects were treated with citalopram/escitalopram for up to 8 weeks. Depression was measured using the Quick Inventory of Depressive Symptomatology-Clinician Rated (QIDS-C16) and the 17-item Hamilton Depression Rating Scale. RESULTS: The group of subjects with at least 1 follow-up visit had a remission (QIDS-C16 ≤ 5) rate of 45.8% as well as a response (50% reduction in QIDS-C16) rate of 64.8%, and 79.9% achieved an improvement of 5 points or higher in QIDS-C16 score. The Pharmacogenomic Research Network Antidepressant Medication Pharmacogenomic Study subjects were more likely to achieve a response than STAR*D study subjects. After adjustment for demographic factors, the response rates were not significantly different. When reporting the adverse effect burden, 60.5% of the subjects reported no impairment, 31.7% reported a minimal-to-mild impairment, and 7.8% reported a moderate-to-severe burden at the 4-week visit. CONCLUSIONS: Patients contemplating initiating an SSRI to treat their MDD can anticipate a high probability of symptom improvement (79.9%) with a low probability that their symptoms will become worse. Patients with lower baseline severity have a higher probability of achieving remission. The Pharmacogenomic Research Network Antidepressant Medication Pharmacogenomic Study replicates many findings of the first phase of the STAR*D study after controlling for the differences between the studies.

Frequency of alcohol use and obesity in community medicine patients.

BACKGROUND: Obesity is an important public health problem. However, the effects of alcohol use on the risk for obesity have not been thoroughly explored. This study focuses on how frequency of alcohol use is related to the risk of obesity in a community medicine clinic population. METHODS: This study used a cross-sectional survey to test the hypothesis that obesity (BMI > 30) is associated with alcohol use. The convenience sample was drawn from three clinics that primarily serve low-income populations. Independent variables included frequency of alcohol use, frequency of binge drinking, demographic characteristics, health behaviors and health status. RESULTS: In comparison to non-drinkers, people who consumed alcohol 3 or more days per month had lower odds of being obese (Adjusted Odds Ratio = .49, p < .04). As expected, there was a significant association between watching eight or more hours of television per day and obesity (AOR = 2.34, p < .01). CONCLUSION: More frequent drinking and less television time are independently associated with reduced odds of obesity in this sample of community medicine patients. Additional research is needed to isolate casual mechanisms.

Psychosocial risk factors for obesity among women in a family planning clinic.

BACKGROUND: The epidemiology of obesity in primary care populations has not been thoroughly explored. This study contributes to filling this gap by investigating the relationship between obesity and different sources of personal stress, mental health, exercise, and demographic characteristics. METHODS: A cross-sectional survey using a convenience sample. Five hundred women who attended family planning clinics were surveyed and 274 provided completed answers to all of the questions analyzed in this study. Exercise, self-rated mental health, stress, social support, and demographic variables were included in the survey. Multiple logistic regression analysis was performed. RESULTS: After adjusting for mental health, exercise, and demographic characteristics of subjects, analysis of the data indicated that that being having a large family and receiving no support from parents were related to obesity in this relatively young low-income primary care sample, but self-reported stress and most types of social support were not significant. CONCLUSION: Obesity control programs in primary care centers directed at low-income women should target women who have large families and who are not receiving support from their parents.

Factors associated with missed first appointments at a psychiatric clinic.

This study identified characteristics ofpatients who missed their intake appointments at a university psychiatric outpatient clinic for persons with serious mental illness after referral from a state agency. Of the 313 patients whose charts were reviewed, 113 (36 percent) missed their appointment. Demographic characteristics, DSM-IV diagnoses, clinician rating scales, and psychopharmacological therapy were compared between attenders and nonattenders. Five predictors of nonattendance were significant: being younger, being Hispanic, having a poor family support system, not taking psychotropic medications, and having health insurance. Persons at greater risk of missing their intake appointment may be prospectively identified and targeted for measures to improve compliance.

Factors associated with attendance at a first appointment after discharge from a psychiatric hospital.

A retrospective review of medical records of 158 patients who were discharged from a university-affiliated psychiatric hospital in the Midwest found that 29 patients (18 percent) did not attend their scheduled follow-up appointment. Multivariate logistic regression analysis showed that patients who were white, who lived in an urban county, and whose scheduled appointment was within two weeks of discharge were significantly more likely to attend their follow-up appointment. The study showed that patients who have an elevated risk of missing their follow-up appointment after hospital discharge can be prospectively identified. This information can be used to develop strategies for improving the likelihood that at-risk patients will receive follow-up care.