Profiles of sociodemographic, behavioral, clinical and psychosocial characteristics among primary care patients with comorbid obesity and depression

Jun Ma, Lan Xiao, Nan Lv, Lisa G Rosas, Megan A Lewis, Jeremy D Goldhaber-Fiebert, Elizabeth M Venditti, Mark B Snowden, Lenard Lesser, Elizabeth Ward, Jun Ma, Lan Xiao, Nan Lv, Lisa G Rosas, Megan A Lewis, Jeremy D Goldhaber-Fiebert, Elizabeth M Venditti, Mark B Snowden, Lenard Lesser, Elizabeth Ward

Abstract

The objective of this study is to characterize profiles of obese depressed participants using baseline data collected from October 2014 through December 2016 for an ongoing randomized controlled trial (n = 409) in Bay Area, California, USA. Four comorbidity severity categories were defined by interaction of the binary levels of body mass index (BMI) and depression Symptom Checklist 20 (SCL20) scores. Sociodemographic, behavioral, clinical and psychosocial characteristics were measured. Mean (SD) age was 51 (12.1) years, BMI 36.7 (6.4) kg/m2, and SCL20 1.5 (0.5). Participants in the 4 comorbidity severity categories had similar sociodemographic characteristics, but differed significantly in the other characteristics. Two statistically significant canonical dimensions were identified. Participants with BMI ≥ 35 and SCL20 ≥ 1.5 differed significantly from those with BMI < 35 and SCL20 < 1.5 on dimension 1, which primarily featured high physical health (e.g., central obesity, high blood pressure and impaired sleep) and mental health comorbidities (e.g., post-traumatic stress and anxiety), poor health-related quality of life (in general and problems specifically with obesity, anxiety, depression, and usual daily activities), and an avoidance problem-solving style. Participants with BMI < 35 and SCL20 ≥ 1.5 differed significantly from those with BMI ≥ 35 and SCL20 < 1.5 on dimension 2, which primarily included fewer Hispanics, less central obesity, and more leisure-time physical activity, but greater anxiety and post-traumatic stress and poorer obesity- or mental health-related quality of life. In conclusion, patients with comorbid obesity and depression of varying severity have different profiles of behavioral, clinical and psychosocial characteristics. This insight may inform analysis of treatment heterogeneity and development of targeted intervention strategies. Trial registration:ClinicalTrials.gov #NCT02246413.

Keywords: Behavior; Clinical characteristics; Depression; EHR, Electronic health record; EQ-5D-5 L, European Quality of Life-5 Dimension-5 Levels; GAD7, Generalized Anxiety Disorder Scale; MET, Metabolic equivalent of task; MINI, Mini-International Neuropsychiatric Interview; Obesity; PCPs, Primary care providers; PHQ, Patient Health Questionnaire; PTSD, Posttraumatic stress disorder; Psychosocial characteristics; SCL20, Depression Symptom Checklist 20; SF-8, Short Form-8 Health Survey; SPSI-R:S, Social Problem-Solving Inventory—Revised: Short Form.

Figures

Fig. 1
Fig. 1
Participant flow of the Research Aimed at Improving Both Mood and Weight (RAINBOW) trial in Bay Area, California, USA, 2014–2016. aTreatment assignments remain masked given that the trial is still ongoing at the time of this study, which uses only baseline data.
Fig. 2
Fig. 2
Canonical discriminant analysis results of baseline characteristics for participants in Bay Area, California, USA, 2014–2016. A. Distribution of participants' dimension scores according to the 4 comorbidity severity categories. Each dot represents an individual participant. Individual dots (participants) of one color belong to the ellipse of the same color denoting each comorbidity severity category: black, lowest severity; blue, depression-dominant intermediate severity; green, obesity-dominant intermediate severity; and red, highest severity. Each ellipse indicates an 80% confidence ellipse for the mean of each severity category marked by a star in the center of the ellipse. B. Correlation coefficients of individual characteristics in the 2 canonical dimensions. Abbreviations: AS, Avoidance Style; BMI, body mass index; DASH, Dietary Approaches to Stop Hypertension; DBP, diastolic blood pressure; EQ-5D-5L, European Quality of Life-5 dimensions-5 levels; ICS, impulsivity/carelessness style; Married, marital status, married/living with another person; MET, metabolic equivalent task; NPO, negative problem orientation; PPO, positive problem orientation; PROMIS, Patient-Reported Outcomes Measurement Information System; RPS, rational problem solving; SBP, systolic blood pressure; SCL20, Symptom Checklist-20; SF-8, Short Form 8 Health Survey; SPSI-R:S, Social Problem Solving Inventory -Revised: Short Form. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)

References

    1. American Psychiatric Association . Third ed. 2010. Practice Guideline for the Treatment of Patients with Major Depressive Disorder; p. 152. Arlington, VA.
    1. Badia X., Schiaffino A., Alonso J., Herdman M. Using the EuroQoI 5-D in the Catalan general population: feasibility and construct validity. Qual. Life Res. Int. J. Qual. Life Asp. Treat. Care Rehab. 1998;7:311–322.
    1. Blaine B. Does depression cause obesity?: a meta-analysis of longitudinal studies of depression and weight control. J. Health Psychol. 2008;13:1190–1197.
    1. Blair S.N., Haskell W.L., Ho P. Assessment of habitual physical activity by a seven-day recall in a community survey and controlled experiments. Am. J. Epidemiol. 1985;122:794–804.
    1. Conway J.M., Ingwersen L.A., Vinyard B.T., Moshfegh A.J. Effectiveness of the US Department of Agriculture 5-step multiple-pass method in assessing food intake in obese and nonobese women. Am. J. Clin. Nutr. 2003;77:1171–1178.
    1. Conway J.M., Ingwersen L.A., Moshfegh A.J. Accuracy of dietary recall using the USDA five-step multiple-pass method in men: an observational validation study. J. Am. Diet. Assoc. 2004;104:595–603.
    1. Derogatis L.R., Lipman R.S., Rickels K., Uhlenhuth E.H., Covi L. The Hopkins symptom checklist (HSCL): a self-report symptom inventory. Behav. Sci. 1974;19:1–15.
    1. D'Zurilla T.J., Chang E.C., Nottingham E.J., IV, Faccini L. Social problem-solving deficits and hopelessness, depression, and suicidal risk in college students and psychiatric inpatients. J. Clin. Psychol. 1998;54:1091–1107.
    1. Flegal K.M., Kruszon-Moran D., Carroll M.D., Fryar C.D., Ogden C.L. Trends in obesity among adults in the United States, 2005 to 2014. JAMA, J. Am. Med. Assoc. 2016;315:2284–2291.
    1. Glass R.M., Allan A.T., Uhlenhuth E.H., Kimball C.P., Borinstein D.I. Psychiatric screening in a medical clinic. An evaluation of a self-report inventory. Arch. Gen. Psychiatry. 1978;35:1189–1195.
    1. Goldberg D.P., Rickels K., Downing R., Hesbacher P. A comparison of two psychiatric screening tests. Br. J. Psychiatry J. Ment. Sci. 1976;129:61–67.
    1. Gonzalez H.M., Tarraf W., Whitfield K.E., Vega W.A. The epidemiology of major depression and ethnicity in the United States. J. Psychiatr. Res. 2010;44:1043–1051.
    1. Jensen M.D., Ryan D.H., Apovian C.M. 2013 AHA/ACC/TOS guideline for the management of overweight and obesity in adults: a report of the American College of Cardiology/American Heart Association task force on practice guidelines and the Obesity Society. Circulation. 2014;129:S102–38.
    1. Karlsson J., Taft C., Sjostrom L., Torgerson J.S., Sullivan M. Psychosocial functioning in the obese before and after weight reduction: construct validity and responsiveness of the obesity-related problems scale. Int. J. Obes. Relat. Metab. Disord. 2003;27:617–630.
    1. Katon W.J. Epidemiology and treatment of depression in patients with chronic medical illness. Dialogues Clin. Neurosci. 2011;13:7–23.
    1. Kroenke K., Spitzer R.L., Williams J.B. The PHQ-9: validity of a brief depression severity measure. J. Gen. Intern. Med. 2001;16:606–613.
    1. Ladwig K.H., Marten-Mittag B., Lowel H., Doring A., Wichmann H.E. Synergistic effects of depressed mood and obesity on long-term cardiovascular risks in 1510 obese men and women: results from the MONICA-KORA Augsburg cohort study 1984-1998. Int. J. Obes. 2006;30:1408–1414.
    1. Linde J.A., Simon G.E., Ludman E.J. A randomized controlled trial of behavioral weight loss treatment versus combined weight loss/depression treatment among women with comorbid obesity and depression. Ann. Behav. Med. 2011;41:119–130.
    1. Ludman E., Simon G.E., Ichikawa L.E. Does depression reduce the effectiveness of behavioral weight loss treatment? Behav. Med. 2010;35:126–134.
    1. Luppino F.S., de Wit L.M., Bouvy P.F. Overweight, obesity, and depression: a systematic review and meta-analysis of longitudinal studies. Arch. Gen. Psychiatry. 2010;67:220–229.
    1. Ma J., Xiao L. Obesity and depression in US women: results from the 2005-2006 National Health and nutritional examination survey. Obesity (Silver Spring) 2009
    1. Ma J., Yank V., Lv N. Research aimed at improving both mood and weight (RAINBOW) in primary care: a type 1 hybrid design randomized controlled trial. Control. Clin. Trials. 2015;43:260–278.
    1. Markowitz S., Friedman M.A., Arent S.M. Understanding the relation between obesity and depression: causal mechanisms and implications for treatment. Clin. Psychol. Sci. Pract. 2008;15:1–20.
    1. Measures from the PhenX Toolkit version February 4, 2011, Ver 4.2. (PhenX (consensus measures of Phenotypes and eXposures) is supported by NHGRI award No. U01 HG004597)
    1. Mellen P.B., Gao S.K., Vitolins M.Z., Goff D.C., Jr. Deteriorating dietary habits among adults with hypertension: DASH dietary accordance, NHANES 1988–1994 and 1999–2004. Arch. Intern. Med. 2008;168:308–314.
    1. Onyike C.U., Crum R.M., Lee H.B., Lyketsos C.G., Eaton W.W. Is obesity associated with major depression? Results from the third National Health and nutrition examination survey. Am. J. Epidemiol. 2003;158:1139–1147.
    1. Pagoto S., Schneider K.L., Whited M.C. Randomized controlled trial of behavioral treatment for comorbid obesity and depression in women: the be active trial. Int. J. Obes. 2013;37:1427–1434.
    1. Pickering T.G., Hall J.E., Appel L.J. Recommendations for blood pressure measurement in humans and experimental animals: part 1: blood pressure measurement in humans: a statement for professionals from the Subcommittee of Professional and Public Education of the American Heart Association Council on high blood pressure research. Hypertension. 2005;45:142–161.
    1. Pratt L.A., Brody D.J. Depression and obesity in the US adult household population, 2005–2010. NCHS Data Brief. 2014;167:1–8.
    1. Preiss K., Brennan L., Clarke D. A systematic review of variables associated with the relationship between obesity and depression. Obes. Rev.: an Offic. J. Intern Assoc. Stud. Obes. 2013;14:906–918.
    1. Roberts R.E., Kaplan G.A., Shema S.J., Strawbridge W.J. Are the obese at greater risk for depression? Am. J. Epidemiol. 2000;152:163–170.
    1. Roberts R.E., Deleger S., Strawbridge W.J., Kaplan G.A. Prospective association between obesity and depression: evidence from the Alameda County study. Int. J. Obes. Relat. Metab. Disord. 2003;27:514–521.
    1. SAMHSA . 2015. Behavioral Health Trends in the United States: Results from the 2014 National Survey on Drug use and Health. Accessed August 14, 2017.
    1. Sheehan K.H., Sheehan D.V. Assessing treatment effects in clinical trials with the discan metric of the Sheehan disability scale. Int. Clin. Psychopharmacol. 2008;23:70–83.
    1. Sheehan D.V., Lecrubier Y., Sheehan K.H. The mini-international neuropsychiatric interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. J. Clin. Psychiatry. 1998;59(Suppl. 20):22–33. (quiz 34–57)
    1. Spitzer R.L., Kroenke K., Williams J.B. Validation and utility of a self-report version of PRIME-MD: the PHQ primary care study. Primary care evaluation of mental disorders. Patient health questionnaire. JAMA, J. Am. Med. Assoc. 1999;282:1737–1744.
    1. Spitzer R.L., Kroenke K., Williams J.B., Lowe B. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch. Intern. Med. 2006;166:1092–1097.
    1. Ware J.E., Kosinski M., Dewey J.E., Gandek B. QualityMetric Incorporated; Lincoln RI: 2001. How to Score and Interpret Single-Item Health Status Measures: A Manual for Users of the SF-8 Health Survey.
    1. Weathers F.W., Litz B.T., Herman D.S., Huska J.A., Keane T.M. 1993. The PTSD Checklist: Reliability, Validity, and Diagnostic Utility, Paper Presented at the Annual Meeting of the International Society for Traumatic Stress Studies. (San Antonio, TX)
    1. Werrij M.Q., Mulkens S., Hospers H.J., Jansen A. Overweight and obesity: the significance of a depressed mood. Patient Educ. Couns. 2006;62:126–131.
    1. Wiltink J., Michal M., Wild P.S. Associations between depression and different measures of obesity (BMI, WC, WHtR, WHR) BMC Psychiatry. 2013;13:223.
    1. de Wit L., Luppino F., van Straten A., Penninx B., Zitman F., Cuijpers P. Depression and obesity: a meta-analysis of community-based studies. Psychiatry Res. 2010;178:230–235.
    1. Yu L., Buysse D.J., Germain A. Development of short forms from the PROMIS sleep disturbance and sleep-related impairment item banks. Behav. Sleep Med. 2011;10:6–24.

Source: PubMed

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