Obesity and depression: results from the longitudinal Northern Finland 1966 Birth Cohort Study

OBJECTIVE: To examine the association between body size and depression in a longitudinal setting and to explore the connection between obesity and depression in young adults at the age of 31 years. DESIGN: This study forms part of the longitudinal Northern Finland 1966 Birth Cohort Study (N = 12,058). The follow-up studies were performed at 14 and 31 years. Data were collected by postal inquiry at 14 years and by postal inquiry and clinical examination at 31 years. SUBJECTS: A total of 8,451 subjects (4,029 men and 4,422 women) who gave a written informed consent and information on depression by three depression indicators at 31 years. MEASUREMENTS: Body size at 14 (body mass index (BMI) and 31 (BMI and waist-to-hip ratio (WHR)) years and depression at 31 years by three different ways: depressive symptoms by the HSCL-25-depression questionnaire (HSCL-25), the use of antidepressants and self-reported physician-diagnosed depression. RESULTS: Obesity at 14 years associated with depressive symptoms at 31 years; among male subjects using the cutoff point 2.01 in the HSCL-25 (adjusted odds ratio (OR) 1.97, 95% CI 1.06-3.68), among female subjects using the cutoff point 1.75 (adjusted OR 1.64, 95% CI 1.16-2.32). Female subjects who were obese both at baseline and follow-up had depressive symptoms relatively commonly (adjusted OR 1.40, 95% CI 1.06-1.85 at cutoff point 1.75); a similar association was not found among male subjects. The proportion of those who used antidepressants was 2.17-fold higher among female subjects who had gained weight compared to female subjects who had stayed normal-weighted (adjusted OR 2.17, 95% CI 1.28-3.68). In the cross-sectional analyses male subjects with abdominal obesity (WHR >or=85th percentile) had a 1.76-fold risk of depressive symptoms using the cutoff 2.01 in the HSCL-25 (adjusted OR 1.76, 95% CI 1.08-2.88). Abdominally obese male subjects had a 2.07-fold risk for physician-diagnosed depression (adjusted OR 2.07, 95% CI 1.23-3.47) and the proportion of those who used antidepressants was 2.63-fold higher among obese male subjects than among male subjects without abdominal obesity (adjusted OR 2.63, 95% CI 1.33-5.21). Abdominal obesity did not associate with depression in female subjects. CONCLUSION: Obesity in adolescence may be associated with later depression in young adulthood, abdominal obesity among male subjects may be closely related to concomitant depression, and being overweight/obese both in adolescence and adulthood may be a risk for depression among female subjects.     

Predictors of early inactive disease in a juvenile idiopathic arthritis cohort: Results of a Canadian multicenter,prospective inception cohort study

Objective

To determine early predictors of 6‐month outcomes in a prospective cohort of patients with juvenile idiopathic arthritis (JIA).

Methods

Patients selected were those enrolled in an inception cohort study of JIA, the Research in Arthritis in Canadian Children Emphasizing Outcomes Study, within 6 months after diagnosis. The juvenile rheumatoid arthritis core criteria set and quality of life measures were collected at enrollment and 6 months later. Outcomes evaluated included inactive disease, Juvenile Arthritis Quality of Life Questionnaire (JAQQ) scores, and Childhood Health Assessment Questionnaire (C‐HAQ) scores at 6 months.

Results

Thirty‐three percent of patients had inactive disease at 6 months. Onset subtype and most baseline core criteria set measures correlated with all 3 outcomes. Relative to oligoarticular JIA, the risks of inactive disease were lower for enthesitis‐related arthritis, polyarthritis rheumatoid factor (RF)–negative JIA, and polyarthritis RF‐positive JIA, and were similar for psoriatic arthritis. In multiple regression analyses, the baseline JAQQ score was an independent predictor of all 3 outcomes. Other independent baseline predictors included polyarthritis RF‐negative and systemic JIA for inactive disease; C‐HAQ score and polyarthritis RF‐positive JIA for the 6‐month C‐HAQ score; and active joint count, pain, and time to diagnosis for the 6‐month JAQQ score.

Conclusion

Clinical measures soon after diagnosis predict short‐term outcomes for patients with JIA. The JAQQ is a predictor of multiple outcomes. Time to diagnosis affects quality of life in the short term.