Patterns of Health Care Utilization Before First Episode Psychosis in Racial and Ethnic Groups.

Objective: To compare patterns of health care utilization associated with first presentation of psychosis among different racial and ethnic groups of patients. Design: The study was a retrospective observational design. Setting: The study was conducted in five health care systems in the western United States. All sites were also part of the National Institute of Mental Health-funded Mental Health Research Network (MHRN). Participants: Patients (n = 852) were aged 15 - 59 years (average 26.9 ± 12.2 years), 45% women, and primarily non-Hispanic White (53%), with 16% Hispanic, 10% non-Hispanic Black, 6% Asian, 1% Native Hawaiian/Pacific Islander, 1% Native American/ Alaskan Native, and 12% unknown race/ethnicity. Main Outcome Measures: Variables examined were patterns of health care utilization, type of comorbid mental health condition, and type of treatment received in the three years before first presentation of psychosis. Methods: Data abstracted from electronic medical records and insurance claims data were organized into a research virtual data warehouse (VDW) and used for analysis. Results: Compared with non-Hispanic Whites, Asian patients (16% vs 34%; P=.007) and non-Hispanic Black patients (20% vs 34%; P=.009) were less likely to have a visit with specialty mental health care before their first presentation of psychosis. Conclusions: Early detection of first episode psychosis should start with wider screening for symptoms outside of any indicators for mental health conditions for non-Hispanic Black and Asian patients.

Mortality Rates After the First Diagnosis of Psychotic Disorder in Adolescents and Young Adults.

Importance: Individuals with psychotic disorders have increased mortality, and recent research suggests a marked increase shortly after diagnosis. Objective: To use population-based data to examine overall and cause-specific mortality after first diagnosis of a psychotic disorder. Design, Setting, and Participants: This cohort study used records from 5 integrated health systems that serve more than 8 million members in 5 states. Members aged 16 through 30 years who received a first lifetime diagnosis of a psychotic disorder from September 30, 2009, through September 30, 2015, and 2 comparison groups matched for age, sex, health system, and year of diagnosis were selected from all members making an outpatient visit (general outpatient group) and from all receiving a first diagnosis of unipolar depression (unipolar depression group). Exposures: First recorded diagnosis of schizophrenia, schizoaffective disorder, mood disorder with psychotic symptoms, or other psychotic disorder in any outpatient, emergency department, or inpatient setting. Main Outcomes and Measures: Death within 3 years after the index diagnosis or visit date, ascertained from health system electronic health records, insurance claims, and state mortality records. Results: A total of 11 713 members with first diagnosis of a psychotic disorder (6976 [59.6%] men and 4737 [40.4%] women; 2368 [20.2%] aged 16-17 and 9345 [79.8%] aged 18-30 years) were matched to 35 576 outpatient service users and 23 415 members with a first diagnosis of unipolar depression. During the year after the first diagnosis, all-cause mortality was 54.6 (95% CI, 41.3-68.0) per 10 000 in the psychotic disorder group compared with 20.5 (95% CI, 14.7-26.3) per 10 000 in the unipolar depression group and 6.7 (95% CI, 4.0-9.4) per 10 000 in the general outpatient group. After adjustment for race, ethnicity, and preexisting chronic medical conditions, the relative hazard of death in the psychotic disorder group compared with the general outpatient group was 34.93 (95% CI, 8.19-149.10) for self-inflicted injury or poisoning and 4.67 (95% CI, 2.01-10.86) for other type of injury or poisoning. Risk of death due to heart disease or diabetes did not differ significantly between the psychotic disorder and the general outpatient groups (hazard ratio, 0.78; 95% CI, 0.15-3.96). Between the first and third years after diagnosis, all-cause mortality in the psychotic disorder group decreased from 54.6 to 27.1 per 10 000 persons and injury and poisoning mortality decreased from 30.6 to 15.1 per 10 000 persons. Both rates, however, remained 3 times as high as in the general outpatient group (9.0 per 10 000 for all causes; 4.8 per 10 000 for injury or poisoning). Conclusions and Relevance: Increases in early mortality underscore the importance of systematic intervention for young persons experiencing the first onset of psychosis. Clinicians should attend to the elevated suicide risk after the first diagnosis a psychotic disorder.

Care Pathways Before First Diagnosis of a Psychotic Disorder in Adolescents and Young Adults.

OBJECTIVE: The authors sought to describe patterns of health care use prior to first diagnosis of a psychotic disorder in a population-based sample. METHOD: Electronic health records and insurance claims from five large integrated health systems were used to identify 624 patients 15-29 years old who received a first diagnosis of a psychotic disorder in any care setting and to record health services received, diagnoses assigned, and medications dispensed during the previous 36 months. Patterns of utilization were compared between patients receiving a first diagnosis of a psychotic disorder and matched samples of general health system members and members receiving a first diagnosis of unipolar depression. RESULTS: During the year before a first psychotic disorder diagnosis, 29% of patients had mental health specialty outpatient care, 8% had mental health inpatient care, 24% had emergency department mental health care, 29% made a primary care visit with a mental health diagnosis, and 60% received at least one mental health diagnosis (including substance use disorders). Compared with patients receiving a first diagnosis of unipolar depression, those with a first diagnosis of a psychotic disorder were modestly more likely to use all types of health services and were specifically more likely to use mental health inpatient care (odds ratio=2.96, 95% CI=1.97-4.43) and mental health emergency department care (rate ratio=3.74, 95% CI=3.39-4.53). CONCLUSIONS: Most patients receiving a first diagnosis of a psychotic disorder had some indication of mental health care need during the previous year. General use of primary care or mental health services, however, does not clearly distinguish people who later receive a diagnosis of a psychotic disorder from those who later receive a diagnosis of unipolar depression. Use of inpatient or emergency department mental health care is a more specific indicator of risk.

Does Patient Adherence to Antidepressant Medication Actually Vary Between Physicians?

OBJECTIVE: Previous research and improvement efforts have presumed that patients' nonadherence to antidepressant medication reflects physicians' quality of care. We used population-based health records to examine whether adherence to antidepressant medication actually varies between prescribing physicians. METHODS: Electronic health records and insurance claims data from 5 integrated health systems in Washington, Idaho, Minnesota, Colorado, Hawaii, and California were used to identify 150,318 adults starting new episodes of antidepressant treatment for depression between January 1, 2010, and December 31, 2012. Early adherence was defined as any refill or dispensing of antidepressant medication in the 180 days following an initial antidepressant prescription. Patient-level demographic and clinical characteristics potentially associated with adherence were identified from health system records. RESULTS: Average probability of early adherence was 82% for psychiatrists and 74% for primary care physicians. Among individual physicians, the range of raw or unadjusted early adherence rates (5th to 95th percentiles) was from 33% to 100% for psychiatrists and from 0% to 100% for primary care physicians. After accounting for sampling variation and case mix differences, the range of adjusted early adherence rates (5th to 95th percentiles) was from 72% to 78% for psychiatrists and from 64% to 69% for primary care physicians. CONCLUSIONS: After accounting for sampling variation and case mix differences, early adherence to antidepressant medication varies minimally among prescribing physicians. Early discontinuation of antidepressant treatment is not an appropriate measure of individual physician performance, and efforts to improve adherence should emphasize system-level interventions rather than the performance of individual physicians.

Between-visit changes in suicidal ideation and risk of subsequent suicide attempt.

BACKGROUND: While clinicians are expected to routinely assess and address suicide risk, existing data provide little guidance regarding the significance of visit-to-visit changes in suicidal ideation. METHODS: Electronic health records from four large healthcare systems identified patients completing the Patient Health Questionnaire or PHQ9 at outpatient visits. For patients completing two questionnaires within 90 days, health system records and state vital records were used to identify nonfatal and fatal suicide attempts. Analyses examined how changes in PHQ9 item 9 responses between visits predicted suicide attempt or suicide death over 90 days following the second visit. RESULTS: Analyses included 430,701 pairs of item 9 responses for 118,696 patients. Among patients reporting thoughts of death or self-harm "nearly every day" at the first visit, risk of suicide attempt after the second visit ranged from approximately 2.0% among those reporting continued thoughts "nearly every day" down to 0.5% among those reporting a decrease to "not at all." Among those reporting thoughts of death or self-harm "not at all" at the first visit, risk of suicide attempt following the second visit ranged from approximately 0.2% among those continuing to report such thoughts "not at all" up to 1.2% among those reporting an increase to "nearly every day". CONCLUSIONS: Resolution of suicidal ideation between visits does imply a clinically important reduction in short-term risk, but prior suicidal ideation still implies significant residual risk. Onset of suicidal ideation between visits does not imply any special elevation compared to ongoing suicidal ideation. Risk is actually highest for patients repeatedly reporting thoughts of death or self-harm.

Oral contraceptive use and fracture risk around the menopausal transition.

OBJECTIVE: The effect of oral contraceptive (OC) use on risk of fracture remains unclear, and use during later reproductive life may be increasing. To determine the association between OC use during later reproductive life and risk of fracture across the menopausal transition, we conducted a population-based case-control study in a Pacific Northwest HMO, Group Health Cooperative. METHODS: For the January 2008 to March 2013 interval, 1,204 case women aged 45 to 59 years with incident fractures, and 2,275 control women were enrolled. Potential cases with fracture codes in automated data were adjudicated by electronic health record review. Potential control women without fracture codes were selected concurrently, sampling based on age. Participants received a structured study interview. Using logistic regression, associations between OC use and fracture risk were calculated as odds ratios (ORs) and 95% confidence intervals (CIs). RESULTS: Participation was 69% for cases and 64% for controls. The study sample was 82% white; mean age was 54 years. The most common fracture site for cases was the wrist/forearm (32%). Adjusted fracture risk did not differ between cases versus controls for OC use in the 10 years before menopause (OR 0.90, 95% CI 0.74, 1.11); for OC use after age 38 (OR 0.94, 95% CI 0.78, 1.14); for duration of use, or for other OC exposures. CONCLUSIONS: The current study does not show an association between fractures near the menopausal transition and OC use in the decade before menopause or after age 38. For women considering OC use at these times, fracture risk does not seem to be either reduced or-reassuringly-increased.

Health care contacts in the year before suicide death.

BACKGROUND: Suicide prevention is a public health priority, but no data on the health care individuals receive prior to death are available from large representative United States population samples. OBJECTIVE: To investigate variation in the types and timing of health services received in the year prior to suicide, and determine whether a mental health condition was diagnosed. DESIGN: Longitudinal study from 2000 to 2010 within eight Mental Health Research Network health care systems serving eight states. PARTICIPANTS: In all, 5,894 individuals who died by suicide, and were health plan members in the year before death. MAIN MEASURES: Health system contacts in the year before death. Medical record, insurance claim, and mortality records were linked via the Virtual Data Warehouse, a federated data system at each site. KEY RESULTS: Nearly all individuals received health care in the year prior to death (83 %), but half did not have a mental health diagnosis. Only 24 % had a mental health diagnosis in the 4-week period prior to death. Medical specialty and primary care visits without a mental health diagnosis were the most common visit types. The individuals more likely to make a visit in the year prior to death (p < 0.05) tended to be women, individuals of older age (65+ years), those where the neighborhood income was over $40,000 and 25 % were college graduates, and those who died by non-violent means. CONCLUSIONS: This study indicates that opportunities for suicide prevention exist in primary care and medical settings, where most individuals receive services prior to death. Efforts may target improved identification of mental illness and suicidal ideation, as a large proportion may remain undiagnosed at death.

Obesity, depression, and health services costs among middle-aged women.

BACKGROUND: Both obesity and depression have been associated with significant increases in health care costs. Previous research has not examined whether cost increases associated with obesity could be explained by confounding effects of depression. OBJECTIVE: Examine whether the association between obesity and health care costs is explained by co-occurring depression. DESIGN: Cross-sectional study including telephone survey and linkage to health plan records. PARTICIPANTS: 4462 women aged 40 to 65 enrolled in prepaid health plan in the Pacific Northwest. MAIN MEASURES: The telephone survey included self-report of height and weight and measurement of depression by the Patient Health Questionnaire (PHQ9). Survey data were linked to health plan cost accounting records. KEY RESULTS: Compared to women with BMI less than 25, proportional increases in health care costs were 65% (95% CI 41% to 93%) for women with BMI 30 to 35 and 157% (95% CI 91% to 246%) for women with BMI of 35 or more. Adjustment for co-occurring symptoms of depression reduced these proportional differences to 40% (95% CI 18% to 66%) and 87% (95% CI 42% to 147%), respectively. Cost increases associated with obesity were spread across all major categories of health services (primary care visits, outpatient prescriptions, inpatient medical services, and specialty mental health care). CONCLUSIONS: Among middle-aged women, both obesity and depression are independently associated with substantially higher health care costs. These cost increases are spread across the full range of outpatient and inpatient health services. Given the high prevalence of obesity, cost increases of this magnitude have major policy and public health importance.

Randomized trial of depression follow-up care by online messaging.

BACKGROUND: Quality of antidepressant treatment remains disturbingly poor. Rates of medication adherence and follow-up contact are especially low in primary care, where most depression treatment begins. Telephone care management programs can address these gaps, but reliance on live contact makes such programs less available, less timely, and more expensive. OBJECTIVE: Evaluate the feasibility, acceptability, and effectiveness of a depression care management program delivered by online messaging through an electronic medical record. DESIGN: Randomized controlled trial comparing usual primary care treatment to primary care supported by online care management SETTING: Nine primary care clinics of an integrated health system in Washington state PARTICIPANTS: Two hundred and eight patients starting antidepressant treatment for depression. INTERVENTION: Three online care management contacts with a trained psychiatric nurse. Each contact included a structured assessment (severity of depression, medication adherence, side effects), algorithm-based feedback to the patient and treating physician, and as-needed facilitation of follow-up care. All communication occurred through secure, asynchronous messages within an electronic medical record. MAIN MEASURES: An online survey approximately five months after randomization assessed the primary outcome (depression severity according to the Symptom Checklist scale) and satisfaction with care, a secondary outcome. Additional secondary outcomes (antidepressant adherence and use of health services) were assessed using computerized medical records. KEY RESULTS: Patients offered the program had higher rates of antidepressant adherence (81% continued treatment more than 3 months vs. 61%, p = 0.001), lower Symptom Checklist depression scores after 5 months (0.95 vs. 1.17, p = 0.043), and greater satisfaction with depression treatment (53% "very satisfied" vs. 33%, p = 0.004). LIMITATIONS: The trial was conducted in one integrated health care system with a single care management nurse. Results apply only to patients using online messaging. CONCLUSIONS: Our findings suggest that organized follow-up care for depression can be delivered effectively and efficiently through online messaging.

A randomized controlled trial of behavioral weight loss treatment versus combined weight loss/depression treatment among women with comorbid obesity and depression.

BACKGROUND: Obesity is associated with clinical depression among women. However, depressed women are often excluded from weight loss trials. PURPOSE: This study examined treatment outcomes among women with comorbid obesity and depression. METHODS: Two hundred three (203) women were randomized to behavioral weight loss (n = 102) or behavioral weight loss combined with cognitive-behavioral depression management (n = 101). RESULTS: Average participant age was 52 years; mean baseline body mass index was 39 kg/m(2). Mean Patient Health Questionnaire and Hopkins Symptom Checklist (SCL-20) scores indicated moderate to severe baseline depression. Weight loss and SCL-20 changes did not differ between groups at 6 or 12 months in intent-to-treat analyses (p = 0.26 and 0.55 for weight, p = 0.70 and 0.25 for depressive symptoms). CONCLUSIONS: Depressed obese women lost weight and demonstrated improved mood in both treatment programs. Future weight loss trials are encouraged to enroll depressed women.

Association between change in depression and change in weight among women enrolled in weight loss treatment.

OBJECTIVE: To examine the association between improvement in depression and loss of weight among women with depressive symptoms entering a behavioral weight loss program. METHODS: Women aged 40 to 65 with body mass index (BMI) of 30 or more and co-occurring symptoms of depression were identified by a population-based survey. A total of 203 of these women were enrolled in one of two behavioral treatment programs: one focused on weight loss and another on both weight loss and depression. Both programs included up to 26 group sessions over 12 months. Assessments at baseline, 6 months, 12 months and 24 months included measurement of weight, depressive symptoms, self-reported physical activity and estimated caloric intake (via food frequency questionnaire). RESULTS: Over the first 6 months, women with a decrease in depression score were more likely to lose 5 kg or more than women without a significant decrease in depression (38% vs. 22%, odds ratio=2.20, 95% CI=1.09 to 4.44). Over the same period, improvement in depression was associated with increase in physical activity but not with change in caloric intake. Change in depression and change in weight were not significantly associated over later intervals (between 6 and 12 months or between 12 and 24 months). CONCLUSIONS: Among women with co-occurring obesity and depression, short-term improvement in depression is associated with weight loss.

IS SUCCESS IN WEIGHT LOSS TREATMENT CONTAGIOUS (DO ATTENDANCE AND OUTCOMES CLUSTER WITHIN TREATMENT GROUPS)?

Data from a trial of a 26-session structured group behavioral weight loss intervention were used to examine how group attendance, weight loss, and changes in depression clustered within therapy groups. Participants were recruited via a population-based survey of female health plan members aged 40 to 65. The sample included 143 women attending 13 therapy groups. Average number of sessions attended was 15.9 (st. dev. 7.2) and average weight loss over 12 months was 4.24 kg (st. dev. 7.79 kg). In hierarchical (random effects) linear models predicting attendance and weight loss, attendance did cluster significantly within therapy groups (F=2.83, df=12, p=.002; ICC = .14) but weight loss (F=0.89, df=12, p=.56; ICC = .00) and change in depressive symptoms (F=0.25, df=12, p=.99; ICC = .00) did not. Accounting for baseline characteristics of group participants had no significant effect on these findings. Relatively small average weight loss in this sample may have limited our ability to detect clustering of weight loss within groups. We conclude that clinicians should consider addressing the effects of drop-out on other group members and that researchers should consider the impact of clustering in analyses of data regarding group treatments.

Breast and cervical cancer screening specific effects of depression and obesity.

BACKGROUND: Obesity and depression may each be associated with lower rates of cervical and breast cancer screening. Studies have examined obesity or depression alone, but not together, despite the established link between them. PURPOSE: This article aims to disentangle the effects of depression and obesity on receipt of breast and cervical cancer screening. METHODS: A stratified sampling design was used to recruit women aged 40-65 years with information on BMI from an integrated health plan in Washington State in 2003-2005. A telephone survey included the Patient Health Questionnaire-9 for depression, weight, and height. Automated data assessed Paps for 3097 women over a 3-year period and screening mammograms over a 2-year period for 2163 women aged > or =51 years. Logistic regression models (conducted in 2008) examined the association between obesity and depression and receipt of screening tests. RESULTS: In univariate logistic regression models, women were less likely to receive a Pap if they were obese (OR=0.53, 95% CI=0.41, 0.69) or depressed (OR=0.60, 95% CI=0.42, 0.87). Further, women were less likely to receive a screening mammogram if they were depressed (OR=0.45, 95% CI=0.30, 0.67). In multivariable models, only obesity remained significantly associated with a lower likelihood of Pap screening (OR=0.67, 95% CI=0.0.49, 0.93), and only depression remained significantly associated with lower rates of screening mammography (OR=0.49, 95% CI=0.31, 0.76). Obesity and depression did not interact significantly in either model. CONCLUSIONS: Obesity and depression appear to have specific effects on receipt of different cancer-screening tests.

Does depression reduce the effectiveness of behavioral weight loss treatment?

Limited evidence suggests that depression is associated with poorer outcomes in behavioral weight loss programs; however, people with major depression are typically excluded from weight loss intervention trials. This study examined the effect of depression on women's participation and weight loss in behavioral treatment. Non-treatment seeking obese women over 40 years of age with major depressive disorder (MDD, n = 65) and without MDD (n = 125) were recruited into a 26-session group intervention. Primary analyses compared participants' mean weight change from baseline to 6 and 12 months; at 6 months, women with MDD lost a mean of 3.8 kg vs 4.3 kg for women without MDD (t = 0.54, p = .59). At 12 months, women with MDD lost 3.0 kg and women without MDD lost 3.6 kg (t = 0.44, p =.66). Women who attended at least 12 treatment sessions lost more weight than women who attended fewer sessions, regardless of depression status (ie, there was no significant interaction between depression and session attendance). Results suggest that depression should not be an exclusion criterion for weight loss intervention programs.

Is success in weight loss treatment contagious (do attendance and outcomes cluster within treatment groups)?

SUMMARY: Data from a trial of a 26-session structured group behavioral weight loss intervention were used to examine how group attendance, weight loss, and changes in depression clustered within therapy groups. Participants were recruited via a population-based survey of female health plan members aged 40-65. The sample included 143 women attending 13 therapy groups. Average number of sessions attended was 15.9 (S.D. 7.2) and average weight loss over 12 months was 4.24 kg (S.D. 7.79 kg). In hierarchical (random effects) linear models predicting attendance and weight loss, attendance did cluster significantly within therapy groups (F = 2.83, df = 12, p = .002; ICC = .14) but weight loss (F = 0.89, df = 12, p = .56; ICC = .00) and change in depressive symptoms (F = 0.25, df = 12, p = .99; ICC = .00) did not. Accounting for baseline characteristics of group participants had no significant effect on these findings. Relatively small average weight loss in this sample may have limited our ability to detect clustering of weight loss within groups. We conclude that clinicians should consider addressing the effects of drop-out on other group members and that researchers should consider the impact of clustering in analyses of data regarding group treatments.:

Are comparisons of consumer satisfaction with providers biased by nonresponse or case-mix differences?

OBJECTIVE: This study examined how consumer satisfaction ratings differ between mental health care providers to determine whether comparison of ratings is biased by differences in survey response rates or consumer characteristics. METHODS: Consumer satisfaction surveys mailed by a mixed-model prepaid health plan were examined. Survey data were linked to computerized records regarding consumers' demographic (age, sex, and type of insurance coverage) and clinical (primary diagnosis and initial versus return visit) characteristics. Statistical models examined probabilities of returning the survey (N=8,025 returned surveys) and of giving an excellent satisfaction rating. Variability was separated into within-provider effects and between-provider effects. RESULTS: The overall response rate was 33.8%, and 49.9% of responders reported excellent satisfaction. Neither response rate nor satisfaction rating was related to primary diagnosis. Within the practices of individual providers, response rate and receiving an excellent rating were significantly associated with female sex, older age, longer enrollment in the health plan, and making a return visit. Analyses of between-provider effects, however, found that only a higher proportion of return visitors was significantly associated with higher response rates and higher satisfaction ratings. CONCLUSIONS: There was little evidence that differences in response rate or in consumers served biased comparison of satisfaction ratings between mental health providers. Bias might be greater in a setting with more heterogeneous consumers or providers. Returning consumers gave higher ratings than first-time visitors, and analyses of satisfaction ratings may need to account for this difference. Extremely high or low ratings should be interpreted cautiously, especially for providers with a small number of surveys.

Associations of child sexual and physical abuse with obesity and depression in middle-aged women.

OBJECTIVE: Examine whether (1) childhood maltreatment is associated with subsequent obesity and depression in middle-age; (2) maltreatment explains the associations between obesity and depression; and (3) binge eating or body dissatisfaction mediate associations between childhood maltreatment and subsequent obesity. METHODS: Data were obtained through a population-based survey of 4641 women (mean age=52 years) enrolled in a large health plan in the Pacific Northwest. A telephone survey assessed child sexual and physical abuse, obesity (BMI>or=30), depressive symptoms, binge eating, and body dissatisfaction. Data were analyzed using logistic regression models incorporating sampling weights. RESULTS: Both child sexual and physical abuse were associated with a doubling of the odds of both obesity and depression, although child physical abuse was not associated with depression for the African American/Hispanic/American Indian subgroup. The association between obesity and depression (unadjusted OR=2.82; 95% CI=2.20-3.62) was reduced somewhat after controlling for sexual abuse (adjusted OR=2.54; 1.96-3.29) and for physical abuse (adjusted OR=2.63; 2.03-3.42). Controlling for potential mediators failed to substantially attenuate associations between childhood maltreatment and obesity. CONCLUSIONS: This study is the first to our knowledge that compares associations of child abuse with both depression and obesity in adults. Although the study is limited by its cross-sectional design and brief assessments, the fact that child abuse predicted two debilitating conditions in middle-aged women indicates the potential long-term consequences of these experiences.

Severity of mood symptoms and work productivity in people treated for bipolar disorder.

OBJECTIVE: To evaluate the relationship between mood symptoms and work productivity in people with bipolar disorder. METHODS: A total of 441 outpatients treated for bipolar disorder were enrolled from mental health clinics of a health plan in Washington State. A baseline assessment included confirmation of diagnosis (using the Structured Clinical Interview for DSM-IV) as well as assessment of employment status, functional impairment, and days missed from work. Eight follow-up interviews over 24 months included self-reported employment status, self-reported days missed from work due to illness, and assessment of current and interval mood symptoms using the Longitudinal Interval Follow-up Examination. RESULTS: Averaged over four assessments, patients with current major depression were 15% less likely to be employed than those without significant depressive symptoms [odds ratio (OR) = 0.84, 95% confidence interval (CI): 0.76-0.92]. Manic or hypomanic symptoms were not significantly associated with probability of employment (OR = 0.93, CI: 0.83-1.04). Among those employed, major depression was associated with 4.06 additional days of work missed per month (CI: 1.05-7.06) compared to those without significant depressive symptoms. Meeting criteria for manic or hypomanic episode was associated with a similar number of missed work days, but this difference was not statistically significant (adjusted difference = 4.11 days, CI: -0.18-8.40). CONCLUSIONS: Among patients with bipolar disorder, depression is strongly and consistently associated with decreased probability of employment and more days missed from work due to illness. Symptoms of mania or hypomania have more variable effects on work productivity.

Does clinical depression affect the accuracy of self-reported height and weight in obese women?

OBJECTIVE: Recent research from a self-report survey showed a strong association between obesity and clinical depression in women. The present analysis assessed whether differential bias in self-reports of height and weight as a function of depression influences the apparent strength of the association. METHODS: Accuracy of self-reported height and weight was assessed in 250 obese (mean BMI=38.7 kg/m(2)) women, 135 of whom met the American Psychiatric Association DSM-IV diagnostic criteria for clinical depression. RESULTS: Depressed and non-depressed women underreported their weight by 1.5 and 1.2 kg, respectively. They underreported their height by 0.002 and 0.003 m, respectively. DISCUSSION: Bias in self-reports of body weight and height is similar in depressed and non-depressed obese women. The underreporting of weight in both groups is similar in magnitude to that seen in normal weight women. Thus, using self-reports of height and weight seems unlikely to bias estimates of the association between obesity and clinical depression in women.

Association between obesity and depression in middle-aged women.

OBJECTIVE: Evaluate the association between obesity and depression among middle-aged women. METHODS: A total of 4641 female health plan enrollees aged 40-65 years completed a structured telephone interview including self-reported height and weight, the Patient Health Questionnaire (PHQ) assessment of depression; a brief measure of rate was 62%. RESULTS: Prevalence of moderate or severe depression increased from 6.5% among those with body mass index (BMI) under 25 to 25.9% among those with BMI over 35. Prevalence of obesity increased from 25.4% among those with no depressive symptoms to 57.8% among those with moderate to severe depression. Independent of obesity, depression was associated with significant reductions in frequency of moderate (4.6 vs. 5.4 times per week) or vigorous (2.8 vs. 3.7 times per week) physical activity. Depression was associated with significantly higher daily caloric intake (1831 vs. 1543) among those with BMI over 30. CONCLUSIONS: Among middle-aged women, depression is strongly and consistently associated with obesity, lower physical activity and (among the obese) higher caloric intake. Public health approaches to reducing the burden of obesity or depression must consider the strong association between these two common conditions.