219 resultados para obese


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The increasing prevalence of obesity in developed countries is reflected in the chronic kidney disease, dialysis, and transplant populations. The added risk factor of obesity increases the risk of vascular events, inflammation, insulin resistance, blood pressure, dyslipidemia, and mortality risk. Nephrology center policies may exclude obese people from transplantation programs resulting in many years of dialysis. The case of a 215-kg Australian male who has successfully dialyzed at home for more than 8 years will be used to illustrate the important considerations and clinical support that these people require for successful home dialysis treatment. The aim of this paper is to report on a program that has successfully trained 23 obese (body mass index >30) people who commenced on home hemodialysis between 2001 and 2009. Body weight ranged between 94.0 and 215 kg (mean 126, SD 26.19) and body mass index ranged between 34.9 and 71 (mean 43.38, SD 9.99) at the start of home training. During the 8.5 years of follow-up, average time on home dialysis was 43.7 months. Home hemodialysis is a feasible treatment for obese people to facilitate longer and more frequent dialysis, resulting in improved hemodynamic stability and improved quality of life. For obese people with end-stage kidney disease, home hemodialysis has shown to be cost-effective and can result in greater treatment efficacy than in-center hospital dialysis.

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This study explores the impact of a cognitive behavioural lifestyle program, the CHOOSE HEALTH Program, on psychosocial wellbeing in overweight and obese adolescents. The sample comprised 29 male and 34 female adolescents aged 11.5 to 18.9 years (M = 14.3, SD = 1.9) and classified as overweight (n = 15) or obese (n=48). Participantswere randomly allocated to treatment or wait-list control conditions; participants allocated the wait-list condition were offered treatment after 6 months. Adolescents and parents completed self-report measures of psychopathology, psychosocial and family functioning. Treatment did not have detrimental effects on the psychosocial factors assessed. It resulted in significant improvements in weight control behaviour, impulse regulation, social support from family and parent–adolescent problem communication (p<.05). Similar results were obtained with completer and intention-to-treat analyses. Treatment acceptability was high, with all respondents indicating that they made progress. Combined, results indicate that treatment did not have detrimental effects on psychopathology, psychosocial functioning, or family functioning. Treatment resulted in significant improvements in impulse regulation, social support from family and parent–adolescent communication. Thus, parents and professionals can be assured that a comprehensive, multifaceted, parent-supported, cognitive behavioural intervention for overweight and obese adolescents does not cause psychological harm.

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This article reports four case studies illustrating the implementation of the CHOOSE HEALTH Program, a cognitive behavioural lifestyle intervention for overweight and obese adolescents. Participants were an overweight (12 years) and obese (15 years) female, and an overweight (14 years) and obese (12 years) male. The program was delivered by provisional psychologists with program specific training and supervision. All participants demonstrated improvements in body composition, and maintained or improved dietary quality and psychosocial wellbeing. The program had variable effects on physical activity and minimal effect on cardiovascular fitness for three of the four participants. While parents and adolescents required considerable assistance to develop and monitor long term program goals, these goals were a useful clinical tool to support the adolescent and parent to recognise the improvements they had made. Identification and monitoring of specific, measurable, and realistic behaviour change strategies was particularly important in assisting adolescents and their parents to translate session information into improved health behaviours. Results indicate that an adolescent overweight and obesity treatment program that promotes adolescent responsibility and autonomy, and emphasises the importance of parent support and family change is both effective and highly acceptable to both adolescents and parents.

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This study explored eating disorder risk factors and possible psychosocial predictors of this risk in overweight and obese treatment-seeking adolescents. Prior to commencing treatment 108 overweight and obese adolescents aged 11 to 17 years (M = 14.31, SD = 1.57; 55% female) completed self-report measures of psychosocial factors. Females reported elevated levels of bulimic tendencies, body dissatisfaction, drive for thinness (p ≤ .001) and males reported elevated body dissatisfaction (p < .001). Age, sex and BMI-for-age z-score explained 15% (p < .001) of the variance in eating disorder risk and psychosocial predictors an additional 25%. Sex did not have a moderating effect on these relationships (p = .21). Among overweight and obese treatment-seeking adolescents, those experiencing lower self-esteem and elevated depression and anxiety symptomatology are at increased eating disorder risk. This highlights the need to consider psychosocial factors in preventing and treating overweight and obesity.

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Objectives: To investigate obese men's health behaviors and strategies for change. Methods: Qualitative interviews with 36 men (BMI 30 and over). Results: All men felt personally responsible for their weight gain. Sedentary lifestyles, stress, lack of worklife balance and weight-based stigma were all significant causes of weight gain and barriers to weight loss. These factors also contributed to men's unwillingness to seek help for their overweight. Conclusion: Addressing the self-blame and stigma associated with obesity is important in developing strategies to improve the health and well-being of obese men.

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Aims: Patients’ perceptions about weight-related stigma and discrimination were assessed in 2 groups of patients, obese and laparoscopic adjustable gastric banding (LAGB).

Methods: Seven focus group sessions were held including a total of 32 women, 8 obese (body mass index 35+) and 24 who had lost 50&percnt; of excess weight following bariatric surgery. During the sessions, participants were asked to consider their experiences in situations including general, family, friends, work place, medical, and educational settings.

Results: Whilst perceptions of discrimination and stigmatisation were common and affected many life situations, they were less prevalent than previous reports. It appeared that it was not the frequency or number of events which affected an individual but the intensity of the experience. Younger women reported greater discrimination than older women and felt the social consequences of obesity to a greater extent. Older women were more concerned about the consequences of being overweight on their health.

Conclusions: Women who had lost weight considered that aspects of their own behaviours when obese contributed to their experiences of discrimination and stigmatisation. Perceptions of discrimination and stigmatisation appear to be influenced by age and current weight status.

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Background : The Beck Depression Inventory (BDI) is frequently employed as measure of depression in studies of obesity. The aim of the study was to assess the factorial structure of the BDI in obese patients prior to bariatric surgery.

Methods : Confirmatory factor analysis was conducted on the current published factor analyses of the BDI. Three published models were initially analysed with two additional modified models subsequently included. A sample of 285 patients presenting for Lap-Band® surgery was used.

Results : The published bariatric model by Munoz et al. was not an adequate fit to the data. The general model by Shafer et al. was a good fit to the data but had substantial limitations. The weight loss item did not significantly load on any factor in either model. A modified Shafer model and a proposed model were tested, and both were found to be a good fit to the data with minimal differences between the two. A proposed model, in which two items, weight loss and appetite, were omitted, was suggested to be the better model with good reliability.

Conclusions : The previously published factor analysis in bariatric candidates by Munoz et al. was a poor fit to the data, and use of this factor structure should be seriously reconsidered within the obese population. The hypothesised model was the best fit to the data. The findings of the study suggest that the existing published models are not adequate for investigating depression in obese patients seeking surgery.

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Background: Depression and obesity, the two common ailments of modern society, are associated with increased risk of coronary artery disease and raised C-reactive protein (CRP) levels. Are the effects of depression and obesity related or do they influence CRP levels independently?

Objective: In 493 consecutive patients presenting for obesity surgery, we explored the relationship between symptoms of depression and raised CRP levels after controlling for confounding factors.

Methods and Procedures: Depression was measured using the Beck Depression Inventory (BDI). Confounding variables were age, gender, BMI, waist and hip measures, smoking and alcohol habits, medications, biochemical measures of the metabolic syndrome, and indirect measures of insulin resistance. General linear regression sought variables independently associated with CRP levels.

Results: These patients had a BMI range from 31 to 91 kg/m2, participants age ranged from 14 to 71 years, and 76% were women. The median CRP concentration was 7.7 mg/l (interquartile range: 3.9–14), 40% had an abnormally raised concentration (>10 mg/l). The mean BDI score was 17.0 ± 9.0, indicating symptoms of moderate depression. We found five independent factors associated with raised CRP levels. In order of strength of association, these were: higher BMI (β = 0.36, P < 0.001), female gender (β = −0.19, P < 0.001), estrogen therapy (β = 0.18, P < 0.001), higher BDI score (β = 0.11, P = 0.01), and insulin resistance index (β = 0.11, P = 0.01), and with a combined R 2 = 0.24, (P < 0.001). Discussion: In obese patients, symptoms of depression were associated with raised CRP levels after controlling for confounding variables. Obese women on estrogen therapy are at risk of high CRP levels.

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Background: Gestational Diabetes Mellitus (GDM) has well recognised adverse health implications for the  mother and her newborn that are both short and long term. Obesity is a significant risk factor for developing GDM and the prevalence of obesity is increasing globally. It is a matter of public health importance that clinicians have evidence based strategies to inform practice and currently there is insufficient evidence regarding the impact of dietary and lifestyle interventions on improving maternal and newborn outcomes. The primary aim of this study is to measure the impact of a telephone based intervention that promotes positive lifestyle modifications on the incidence of GDM. Secondary aims include: the impact on gestational weight gain; large for gestational age babies; differences in blood glucose levels taken at the Oral Glucose Tolerance Test (OGTT) and selected factors relating to self-efficacy and psychological wellbeing. 


Method/design:
 A randomised controlled trial (RCT) will be conducted involving pregnant women who are  overweight (BMI >25 to 29.9 k/gm2) or obese (BMI >30kgm/2), less than 14 weeks gestation and recruited from the Barwon South West region of Victoria, Australia. From recruitment until birth, women in theintervention group will receive a program informed by the Theory of Self-efficacy and employing Motivational Interviewing. Brief ( less than 5 minute) phone contact will alternate with a text message/email and will involve goal setting, behaviour change reinforcement with weekly weighing and charting, and the provision of health  information. Those in the control group will receive usual care. Data for primary and secondary outcomes will be collected from medical record review and a questionnaire at 36 weeks gestation. 

Discussion:
 Evidence based strategies that reduce the incidence of GDM are a priority for contemporary maternity care. Changing health behaviours is a complex undertaking and trialling a composite intervention that can be adopted in various primary health settings is required so women can be accessed as early in pregnancy as possible. Using a sound theoretical base to inform such an intervention will add depth to our understanding of this approach and to the interpretation of results, contributing to the evidence base for practice and policy. 

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Heart rate (HR) variability and large arterial compliance can be improved using fish oils. DHA, a component of fish oil, has cardiovascular health benefits, but its effect on HR variability (HRV) and arterial compliance is yet to be quantified. Sixty-seven overweight or obese adults (thirty-six males and thirty-one females; 53 (sem 2) year; BMI 31·7 (sem 1·1) kg/m2) were randomly allocated to consume either 6 g/d sunola oil (control; n 17), fish oil (260 mg DHA+60 mg EPA per g) at doses of 2 g/d (n 16), 4 g/d (n 17) or 6 g/d (n 17). Blood pressure, HR and compliance of large and small arteries were measured while supine at baseline and after 12 weeks in all participants, and HRV was assessed in a subgroup of forty-six participants. There was no effect of fish oil on blood pressure, small artery compliance or HR. However, the low frequency:high frequency ratio of HRV decreased with increasing doses of fish oil (r − 0·34, P = 0·02), while large artery compliance increased (r 0·34, P = 0·006). Moreover, the changes in these biomarkers were significantly correlated (r − 0·31, P = 0·04) and may reflect fish oil-induced improvements in arterial function and cardiac autonomic regulation.

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Aim
To examine the emotional well-being of severely obese Australians with type 2 diabetes, along with markers of social and economic disadvantage, using the Diabetes MILES – Australia dataset.
Methods
Diabetes MILES – Australia was a national survey of 3338 adults with diabetes that focused on psychosocial issues; 1795 had type 2 diabetes and reported BMI. We extracted data regarding depression (PHQ-9), anxiety (GAD-7), obesity- and diabetes- related comorbidities, and demographics. The severely obese group (SOG) (BMI ≥ 35; median BMI = 41.6) constituted 530 (30%) of the type 2 diabetes respondents and was matched with 530 controls (CG) (BMI < 35; median BMI = 28.2). Within- and between- group trends were examined.
Results
The SOG had higher depression scores (median (IQR) 6.0 (3–12)) than CG (5.0 (2–10)); p < 0.001, and were more likely to report moderate-severe depressive symptoms (37% versus 27%; p < 0.001). The groups did not differ on anxiety. The SOG, compared with the CG, were more likely to live alone (21% versus 17%), receive a disability pension (21% versus 15%), earn ≤$40.000/year (51% versus 41%; all p < 0.05), and were less likely to be employed (46% versus 53%), university or higher educated (17% versus 26%), or have health insurance (50% versus 60%; all p ≤ 0.01). Moderate-severe depression was positively associated with cumulative stressors of severe obesity, socioeconomic disadvantage, and obesity- and diabetes- related comorbidity.
Conclusions
Severely obese people living with type 2 diabetes have cumulative stressors related to health, disability, demographic and socioeconomic factors, and impaired emotional well-being.

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 Anxiety is the most prevalent type of mental disorder and a significant health concern. Crosssectional
studies have detected a positive association between obesity and anxiety. What is less
clear is whether weight loss can reduce anxiety. We sought to answer three questions:
1. Can weight loss improve symptoms of anxiety in the overweight and obese population?
2. Does the macronutrient content of energy-restricted diets that induce weight loss affect
anxiety?
3. Is the change in anxiety related to the amount of weight lost?
We investigated the findings from seven interventional studies, which induced weight loss by
dietary intervention, in overweight and obese individuals, using established anxiety assessment
tools. Mean weight loss ranged from 0.7 to 18.6 kg (SD 4.5) and in three of the studies, anxiety fell
by 9.2% to 11.4% and did not change in four studies. When macronutrient content was considered,
only one of four interventional studies and one pilot study reported a beneficial effect of a
moderate-fat diet on anxiety. There appears to be no strong evidence to indicate that diet-induced
weight loss has a beneficial effect on anxiety, however, none of the diet-induced weight loss
studies assessed had a detrimental effect on anxiety.