Depression, smoking, activity level, and health status: Pretreatment predictors of attrition in obesity treatment

Clark, Matthew M.; Niaura, Raymond; King, Teresa; Pera, Vincent

doi:10.1016/0306-4603(95)00081-x

Cited by 108 publications

(121 citation statements)

References 15 publications

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“…In previous studies, depression appeared a negative prognostic marker for weight reduction. 3,4 Obese patients with depression are at high risk of attrition in comprehensive obesity treatment, including VLCD and behavior therapy programs. 3 In the Diabetes Prevention Program, the weight loss self-efficacy correlated negatively with depression.…”

Section: Discussionmentioning

confidence: 99%

“…3,4 Obese patients with depression are at high risk of attrition in comprehensive obesity treatment, including VLCD and behavior therapy programs. 3 In the Diabetes Prevention Program, the weight loss self-efficacy correlated negatively with depression. 4 Moreover, depressed mood has been described as a trigger for dietary disinhibition, 26 which promotes weight gain.…”

Section: Discussionmentioning

confidence: 99%

“…Previous studies revealed that scores on the Beck Depression Inventory (BDI) 2 were related to body weight loss during obesity treatment. [3][4][5] Eating related motivation is frequently evaluated by the Three Factor Eating Questionnaire also known as the Eating Inventory (EI), which was developed by Stunkard and Messick. 6 The EI assesses dietary restraint, disinhibition and perceived hunger.…”

Section: Introductionmentioning

confidence: 99%

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Psychobehavioral and nutritional predictors of weight loss in obese women treated with sibutramine

et al. 2004

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OBJECTIVE:To reveal whether baseline body mass index (BMI), and psychobehavioral and nutritional markers were significant predictors of the change in BMI observed after 4 and 12 months in obese women enrolled in a weight reduction program, including low-energy diet, increased physical activity, cognitive behavior therapy and sibutramine. The impact of changes in psychobehavioral and nutritional markers observed after 4 and 12 months of treatment on BMI changes was also investigated. DESIGN: During a double-blind placebo-controlled 4-month period, subjects received either sibutramine (10 mg/day) or placebo. Then, an open phase with sibutramine administered to all patients continued until month 12. SUBJECTS: In total, 80 obese women (age: 43.9710.6 y, BMI: 36.774.8 kg/m 2 ). MEASUREMENTS: The dependent variable was change in BMI while baseline BMI, mode of treatment, the Beck depression score, the three items (dietary restraint, disinhibition and perceived hunger) of the Eating Inventory (EI), energy and macronutrient intakes were independent variables. At 1-week dietary records were analyzed using a computer software for assessing energy and macronutrient intake. RESULTS: Multiple regression analysis revealed that the BMI loss at month 4 was significantly influenced by mode of treatment and initial BMI, whereas a borderline negative relationship was observed with the baseline restraint score. Baseline BMI, depression score, restraint score and total energy intake predicted weight loss at month 12. These predictive variables accounted for 43.8% of the variance in BMI loss at 12 months. When relationships between the BMI loss and changes in all included psychobehavioral and nutritional parameters were considered after 12 months of treatment, a drop in the disinhibition score of the EI appeared the only significant factor affecting the BMI decrease. CONCLUSIONS: Our results suggest that psychobehavioral and nutritional characteristics can be used as predictors of weight loss in response to a comprehensive weight management program including pharmacological treatment with sibutramine.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Psychobehavioral and nutritional predictors of weight loss in obese women treated with sibutramine

et al. 2004

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“…Younger individuals may feel less vulnerable to disease or less benefit from long-term involvement in research studies [10]. Those who smoke or have depression may be less likely to engage in health-focused interventions in general [18,19] and lack of study completion may be an extension of this. Additionally, smoking and depression likely put individuals at greater risk of recurrence of coronary events.…”

Section: Discussionmentioning

confidence: 99%

Factors Associated With Study Completion in Patients With Premature Acute Coronary Syndrome

Austin¹,

Pelletier²,

Rabi³

et al. 2014

Canadian Journal of Cardiology

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“…Weight loss studies have often excluded people with a mental health diagnosis. There is some evidence to suggest that depression predicts higher attrition from weight loss programs [20,21] but that depression is not necessarily associated with less weight loss for those individuals able to complete the program [20,22]. The relationship between weight loss and maintenance in obese individuals with other mental health conditions such as anxiety or PTSD is unknown.…”

Section: Program Implementationmentioning

confidence: 99%

MOVE! multidisciplinary programs: Challenges and resources for weight management treatment in VHA

Rosenberger

Ruser

Kashaf

2011

Behav. Med. Pract. Policy Res.

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The MOVE! program has been a successful weight management and physical activity initiative from the Veteran's Health Administration. While it embraces a multicomponent approach to weight management, local facilities have primarily focused on the implementation of delivery of MOVE! educational materials to groups or individuals. We discuss additional MOVE!-related weight management efforts within VHA that reflect treatment strategies beyond delivery of these educational materials. First, we present a case study that highlights the special challenges associated with the Veteran overweight/ obese population. Second, we describe the implementation of our local, multidisciplinary, individualized weight management clinic as an example of on-the-ground provision of a higher treatment intensity program as part of MOVE!'s multicomponent model. Third, we present program outcomes and consider challenges to program sustainability. KEYWORDSObesity, Overweight, Weight loss, Weight management, Primary care, Veterans CASE PRESENTATIONA 60-year-old white male Veteran with diabetes, hypertension, long-standing depression, and knee osteoarthritis presents to a VA multidisciplinary weight loss clinic upon referral by his primary care physician. He has already attended MOVE! educational group visits presenting information on nutrition, physical activity, and behavioral changes necessary for weight management and has made some changes but is frustrated that he has lost only 2 pounds. He has struggled with his weight for over 20 years with a few pounds gained per year, until it accelerated to 30 pounds gained over the past several years with the initiation of insulin therapy and starting an antidepressant. His current weight is 240 pounds with a body mass index (BMI) of 42 and waist circumference of 52 in. He has pain in both knees and reports that his pain score is a six out of ten. The Veteran is retired and has a limited budget for food. He has hypoglycemia several times a week and believes that it is necessary to drink juice and snack on peanut butter crackers frequently in order to prevent low blood sugars. He also endorses daytime fatigue, snoring, and mentions that his wife has noted that at times he stops breathing while he is sleeping. He limits his walking due to knee pain but reports more walking in the past month accompanied by exertional shortness of breath. He has a past diagnosis of major depression. The Veteran's medications include 70/30 insulin 55u twice a day, hydrochlorothiazide/lisinopril, amlodipine, sertraline, simvastatin, and aspirin. His recent labs include normal thyroid testing and diabetes that is only moderately well-controlled. BACKGROUNDObesity is recognized as an independent predictor of mortality [1,2] as well as a risk factor for countless other medical conditions including congestive heart failure, cancer, osteoarthritis, sleep apnea, metabolic syndrome, and diabetes [3][4][5]. Estimates show that obesity accounts for nearly 400,000 deaths annually [4]. The epidemiologic data and medical bur...

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Depression, smoking, activity level, and health status: Pretreatment predictors of attrition in obesity treatment

Cited by 108 publications

References 15 publications

Psychobehavioral and nutritional predictors of weight loss in obese women treated with sibutramine

Psychobehavioral and nutritional predictors of weight loss in obese women treated with sibutramine

Factors Associated With Study Completion in Patients With Premature Acute Coronary Syndrome

MOVE! multidisciplinary programs: Challenges and resources for weight management treatment in VHA

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