971 resultados para Weight-loss measurement


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Body dissatisfaction is often associated with negative psychological functioning, such as depression, and maladaptive behaviors, such as unhealthy eating and extreme weight loss behaviors, which have serious negative implications for women’s health and well-being, and potentially also for the unborn fetus during pregnancy. This article summarizes contemporary research in the area of body image during pregnancy, showing the development of knowledge in this area with increasing research interest in this topic in more recent times.

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Electrochemical impedance spectroscopy (EIS) was used to study and evaluate commercial batch treatment inhibitors which are used for protecting oil wells, gas wells, and pipelines from CO2 corrosion, focusing on the evaluation of inhibitor film persistency. It was found that theformation and deterioration of batch treatment inhibitor films were accompanied by typical impedance spectral changes. During the formation of inhibitor films, electrode impedance showed a rapid increase and the Bode phase angle plots also showed a sudden change. Thus, the formation of inhibitor film was a very fast process. During the deterioration of inhibitor films, electrode impedance showed a gradual decrease and the Bode phase angle plots showed changes which characterised the three stages of the inhibitor film deterioration process. The relationships between EIS and corrosion rate are discussed, including comparisons with weight loss measurements. Based on the experimental findings in the present work, a method is suggested for estimating the persistency of inhibitor films by monitoring the characteristic changes in the Bode phase angle plots and by measuring electrochemical charge transfer resistance at the second and third stages of the inhibitor film deterioration process.

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Context Bariatric surgery results in sustained weight loss; reduced incidence of diabetes, cardiovascular events, and cancer; and improved survival. The long-term effect on health care use is unknown.

Objective To assess health care use over 20 years by obese patients treated conventionally or with bariatric surgery.

Design, Setting, and Participants
The Swedish Obese Subjects study is an ongoing, prospective, nonrandomized, controlled intervention study conducted in the Swedish health care system that included 2010 adults who underwent bariatric surgery and 2037 contemporaneously matched controls recruited between 1987 and 2001. Inclusion criteria were age 37 years to 60 years and body mass index of 34 or higher in men and 38 or higher in women. Exclusion criteria were identical in both groups.

Interventions Of the surgery patients, 13% underwent gastric bypass, 19% gastric banding, and 68% vertical-banded gastroplasty. Controls received conventional obesity treatment.

Main Outcome Measures Annual hospital days (follow-up years 1 to 20; data capture 1987-2009; median follow-up 15 years) and nonprimary care outpatient visits (years 2-20; data capture 2001-2009; median follow-up 9 years) were retrieved from the National Patient Register, and drug costs from the Prescribed Drug Register (years 7-20; data capture 2005-2011; median follow-up 6 years). Registry linkage was complete for more than 99% of patients (4044 of 4047). Mean differences were adjusted for baseline age, sex, smoking, diabetes status, body mass index, inclusion period, and (for the inpatient care analysis) hospital days the year before the index date.

Results In the 20 years following their bariatric procedure, surgery patients used a total of 54 mean cumulative hospital days compared with 40 used by those in the control group (adjusted difference, 15; 95% CI, 2-27; P = .03). During the years 2 through 6, surgery patients had an accumulated annual mean of 1.7 hospital days vs 1.2 days among control patients (adjusted difference, 0.5; 95% CI, 0.2 to 0.7; P < .001). From year 7 to 20, both groups had a mean annual 1.8 hospital days (adjusted difference, 0.0; 95% CI, −0.3 to 0.3; P = .95). Surgery patients had a mean annual 1.3 nonprimary care outpatient visits during the years 2 through 6 vs 1.1 among the controls (adjusted difference, 0.3; 95% CI, 0.1 to 0.4; P = .003), but from year 7, the 2 groups did not differ (1.8 vs 1.9 mean annual visits; adjusted difference, −0.2; 95% CI, −0.4 to 0.1; P = .12). From year 7 to 20, the surgery group incurred a mean annual drug cost of US $930; the control patients, $1123 (adjusted difference, −$228; 95% CI, −$335 to −$121; P < .001).

Conclusions Compared with controls, surgically treated patients used more inpatient and nonprimary outpatient care during the first 6-year period after undergoing bariatric surgery but not thereafter. Drug costs from years 7 through 20 were lower for surgery patients than for control patients.

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Since women living in socioeconomically disadvantaged neighborhoods are more likely to be physically inactive and engage in higher levels of sedentary behavior than women living in more advantaged neighborhoods, it is important to develop and test the feasibility of strategies aimed to promote physical activity and reduce sedentary behavior amongst this high-risk target group. Thirty-seven women (aged 19–85) living in a disadvantaged neighborhood, and five key stakeholders, received a suite of potential intervention materials and completed a qualitative questionnaire assessing the perceived feasibility of strategies aimed to increase physical activity and reduce sedentary behavior. Thematic analyses were performed. Women perceived the use of a locally-relevant information booklet as a feasible strategy to increase physical activity and reduce sedentary behavior. Including weight-loss information was suggested to motivate women to be active. Half the women felt the best delivery method was mailed leaflets. Other suggestions included reference books and websites. Many women mentioned that an online activity calendar was motivational but too time-consuming to commit to. Most women preferred the information booklet as a strategy to increase physical activity/reduce sedentary behavior, yet several suggested that using the booklet together with the online calendar may be more effective. These findings make an important contribution to research informing the development of intervention strategies to increase physical activity and reduce sedentary behavior amongst women living in disadvantaged neighborhoods.

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Background
The successful Greater Green Triangle Diabetes Prevention Program (GGT DPP), a small implementation trial, has been scaled-up to the Victorian state-wide ‘Life!’ programme with over 10,000 individuals enrolled. The Melbourne Diabetes Prevention Study (MDPS) is an evaluation of the translation from the GGT DPP to the Life! programme. We report results from the preliminary phase (pMDPS) of this evaluation.
Methods
The pMDPS is a randomised controlled trial with 92 individuals aged 50 to 75 at high risk of developing type 2 diabetes randomised to Life! or usual care. Intervention consisted of six structured 90-minute group sessions: five fortnightly sessions and the final session at 8 months. Participants underwent anthropometric and laboratory tests at baseline and 12 months, and provided self-reported psychosocial, dietary, and physical activity measures. Intervention group participants additionally underwent these tests at 3 months. Paired t tests were used to analyse within-group changes over time. Chi-square tests were used to analyse differences between groups in goals met at 12 months. Differences between groups for changes over time were tested with generalised estimating equations and analysis of covariance.
Results
Intervention participants significantly improved at 12 months in mean body mass index (−0.98 kg/m2, standard error (SE) = 0.26), weight (−2.65 kg, SE = 0.72), waist circumference (−7.45 cm, SE = 1.15), and systolic blood pressure (−3.18 mmHg, SE = 1.26), increased high-density lipoprotein-cholesterol (0.07 mmol/l, SE = 0.03), reduced energy from total (−2.00%, SE = 0.78) and saturated fat (−1.54%, SE = 0.41), and increased fibre intake (1.98 g/1,000 kcal energy, SE = 0.47). In controls, oral glucose at 2 hours deteriorated (0.59 mmol/l, SE = 0.27). Only waist circumference reduced significantly (−4.02 cm, SE = 0.95).

Intervention participants significantly outperformed controls over 12 months for body mass index and fibre intake. After baseline adjustment, they also showed greater weight loss and reduced saturated fat versus total energy intake.

At least 5% weight loss was achieved by 32% of intervention participants versus 0% controls.
Conclusions
pMDPS results indicate that scaling-up from implementation trial to state-wide programme is possible. The system design for Life! was fit for purpose of scaling-up from efficacy to effectiveness.

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The aim of this study was to explore the relationship between the quantity and quality of self-monitoring and per cent fat loss in overweight and obese adolescents participating in a weight-loss intervention. Participants were 55 (33F) overweight and obese adolescents taking part in a 20-week cognitive–behavioural intervention aimed at improving eating and physical activity behaviours. Food and physical activity self-monitoring from the first 9 weeks of the intervention was coded using 24 components assessing the quantity (20) and quality (4) of selfmonitoring. Those who completed treatment (n = 42) were split into groups: Losers (n = 30) and Gainers (n = 12) of per cent body fat as measured by DXA. Group analyses showed that Losers and Gainers could be differentiated by both quantitative and qualitative measures of self-monitoring. The strongest associations were with the classifications of food and drink items into food groups. The number of days monitored and the average number of items recorded did not differentiate the groups. Quantity and quality measures of self-monitoring completed early in treatment could also differentiate those who completed treatment and those who did not complete treatment (n = 13), and the strongest associations were with the amounts of food and drink items recorded, an association not found with treatment outcome. The results indicate that both quantity and quality of self-monitoring may be important predictors of both treatment completion and outcome. Based on these findings a framework of self-monitoring requirements is offered to reduce homework burden while maximising treatment efficacy.

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Background : The Beck Depression Inventory (BDI) is one of the most commonly used instruments to assess depression in persons with obesity. While it has been validated in normal and psychiatric populations, in obese populations, its validity remains uncertain. This study aimed to investigate the validity and reliability of the BDI-IA and BDI-II in severely obese bariatric surgery candidates.

Methods : Consecutive new candidates at a bariatric surgery clinic were invited to participate in the study by their consulting surgeon. All candidates were assessed using the Structured Clinical Interview for DSM-IV Disorders (SCID-I); 118 completed the BDI-IA and 83 completed the BDI-II. Two hundred one patients (response rate, 88 %) participated in the study. The current sample (82 % female) had an average body mass index of 42.83 ± 6.34 and an average age of 45 ± 12 years.

Results : Based on the SCID-I, 54 candidates (26.9 %) met the criteria for a mood disorder, with 37 meeting the criteria for current major depressive disorder. Individuals diagnosed with a clinical mood disorder had significantly higher scores on the BDI (BDI-IA, 23.59 ± 9.69 vs. 12.76 ± 8.29; BDI-II, 22.93 ± 5.22 vs. 11.25 ± 8.44). Our results indicated that, as a screening tool for a clinical mood disorder, the BDI-II had an optimal cutoff of 13, with a sensitivity of 100 and specificity of 67.75.

Conclusions : Results indicated that the BDI-IA should not be used as a tool to measure depressive symptomatology in obese bariatric surgery candidates. No cutoff was identified with adequate sensitivity and specificity, and over 20 % of patients were misclassified. As a screening tool for a clinical mood disorder, the BDI-II was adequate; however, prevalence rates were significantly overestimated.

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Background : The Beck Depression Inventory (BDI) has been frequently employed as a measure of depression in studies of obesity, with the majority of studies reporting an improvement in scores following weight loss. Given the potential similarity in obesity-related and depressive symptoms, it is uncertain whether all components of depression would improve equally with weight loss.

Method : The study included obese patients who had undergone laparoscopic adjustable gastric banding (LAGB) surgery and had completed BDIs at baseline and 1 year after surgery. Two groups of patients were included, a general background group (N = 191, mean age = 41 ± 9, mean BMI = 43 ± 8) and a group identified as experiencing elevated depressive symptoms based on BDI scores ≥23 (EDS group; (N = 67, mean age = 40 ± 9, mean BMI = 45 ± 7).

Results : Overall, BDI scores fell for both groups, background group at baseline 17 ± 9–8 ± 7 at 1 year and for the EDS group at baseline 30 ± 5–14 ± 10 at 1 year. Patient scores on the negative self-attitude subscale were significantly greater than the two other subscales and showed the greatest improvement 1 year following LAGB. Preexisting antidepressant therapy had little or no association on the BDI scores or on its change following weight loss.

Conclusion : High rates of depression are continually reported in obesity, as is a remarkable decrease in depressive symptoms following weight loss. Negative attitudes towards one’s self appears to be driving elevated BDI scores rather than the overlap in physical symptoms between obesity and depression.

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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
Worldwide, type 2 diabetes (T2DM) prevalence has more than doubled over two decades. In Australia, diabetes is the second highest contributor to the burden of disease. Lifestyle modification programs comprising diet changes, weight loss and moderate physical activity, have been proven to reduce the incidence of T2DM in high risk individuals.

As part of the Council of Australia Governments, the State of Victoria committed to develop and support the diabetes prevention program ‘Life! Taking action on diabetes’ (Life!) which has direct lineage from effective clinical and implementation trials from Finland and Australia. The Melbourne Diabetes Prevention Study (MDPS) has been set up to evaluate the effectiveness and cost-effectiveness of a specific version of the Life! program.

Methods/design
We intend to recruit 796 participants for this open randomized clinical trial; 398 will be allocated to the intervention arm and 398 to the usual care arm. Several methods of recruitment will be used in order to maximize the number of participants. Individuals aged 50 to 75 years will be screened with a risk tool (AUSDRISK) to detect those at high risk of developing T2DM. Those with existing diabetes will be excluded. Intervention participants will undergo anthropometric and laboratory tests, and comprehensive surveys at baseline, following the fourth group session (approximately three months after the commencement of the intervention) and 12 months after commencement of the intervention, while control participants will undergo testing at baseline and 12 months only.

The intervention consists of an initial individual session followed by a series of five structured-group sessions. The first four group sessions will be carried out at two week intervals and the fifth session will occur eight months after the first group session. The intervention is based on the Health Action Process Approach (HAPA) model and sessions will empower and enable the participants to follow the five goals of the Life! program.

Discussion

This study will determine whether the effect of this intervention is larger than the effect of usual care in reducing central obesity and cardiovascular risk factors and thus the risk of developing diabetes and cardiovascular disease. Also it will evaluate how these two options compare economically.

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In 2003, the National Heart Foundation of Australia published a position statement on psychosocial risk factors and coronary heart disease (CHD). This consensus statement provides an updated review of the literature on psychosocial stressors, including chronic stressors (in particular, work stress), acute individual stressors and acute population stressors, to guide health professionals based on current evidence. It complements a separate updated statement on depression and CHD.

Perceived chronic job strain and shift work are associated with a small absolute increased risk of developing CHD, but there is limited evidence regarding their effect on the prognosis of CHD. Evidence regarding a relationship between CHD and job (in)security, job satisfaction, working hours, effort-reward imbalance and job loss is inconclusive.

Expert consensus is that workplace programs aimed at weight loss, exercise and other standard cardiovascular risk factors may have positive outcomes for these risk factors, but no evidence is available regarding the effect of such programs on the development of CHD.

Social isolation after myocardial infarction (MI) is associated with an adverse prognosis. Expert consensus is that although measures to reduce social isolation are likely to produce positive psychosocial effects, it is unclear whether this would also improve CHD outcomes. Acute emotional stress may trigger MI or takotsubo ("stress") cardiomyopathy, but the absolute increase in transient risk from an individual stressor is low. Psychosocial stressors have an impact on CHD, but clinical significance and prevention require further study.

Awareness of the potential for increased cardiovascular risk among populations exposed to natural disasters and other conditions of extreme stress may be useful for emergency services response planning. Wider public access to defibrillators should be available where large populations gather, such as sporting venues and airports, and as part of the response to natural and other disasters.

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Objective
The Australian lifestyle intervention program Life! is only the second reported, large-scale diabetes prevention program. This paper describes the genesis and the successful establishment of Life! and its key outcomes for participants and implementation.

Research
Design and Methods Life!, a behavior change intervention, comprises six group sessions over eight months. The Victorian Department of Health funded Diabetes Australia-Victoria to implement the program. Experience of the Greater Green Triangle diabetes prevention implementation trial was used for intervention design, workforce development, training and infrastructure. Clinical and anthropometric data from participants, used for program evaluation, was recorded on a central database.

Results
Life! has a state-wide workforce of 302 trained facilitators within 137 organizations. 29,000 Victorians showed interest in Life! and 15,000 individuals have been referred to the program. In total, 8,412 participants commenced a Life! program between October 2007 and June 2011. 37% of the original participants completed the eight month program. Participants completing sessions one to five lost an average of 1·4 kg weight (p<0·001) and waist circumference of 2·5cm (p<0.001). Those completing six sessions lost an average of 2·4 kg weight (p<0·001) and waist circumference of 3·8 cm (p<0·001). The weight loss of 2.4 kg represents 2.7% of participants’ starting body weight.

Conclusion
The impact of Life! is attributable to applying available evidence for the systems design of the intervention, and collaboration between policy makers, implementers and evaluators using the principles of continuous quality improvement to support successful, large scale recruitment and implementation.

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Objective : To explore associations among quality indicators (QI; e.g. pressure ulcers, falls and/or fractures, physical restraint, use of multiple medications, unplanned weight loss) of the Victorian Public Sector Residential Aged Care Services (VPSRACS) with other demographic and health-related factors.

Methods : Data for 380 residents over a 3-month period were extracted retrospectively from client databases at four VPSRAC facilities.

Results : Four significant logistic regression models were developed. The strongest models related to falls and polypharmacy. Significant associations for these models included the following: (1) residents with a higher body mass index were 6% less likely (95% confidence interval (CI) 1%–11%) to fall, whereas high levels of cognitive impairment increased the risk of falling by 8% (95% CI 2%–14%); (2) being ambulant with a gait aid more than doubled the risk of falling compared with non-ambulant residents (95% CI 19%–546%); and (3) higher cognitive impairment was associated with a 6% (95% CI 1%–11%) reduction in the likelihood of polypharmacy.

Conclusions :
Identification of significant relationships between the VPSRACS QI and other demographic and health-related factors is a preliminary step towards a more in-depth understanding of the factors that influence the QI and predict adverse events.

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Objective
Emerging evidence suggests that psychosocial stress may influence weight gain. The relationship between stress and weight change and whether this was influenced by demographic and behavioral factors was explored.

Design and Methods
A total of 5,118 participants of AusDiab were prospectively followed from 2000 to 2005. The relationship between stress at baseline and BMI change was assessed using linear regression.

Results
Among those who maintained/gained weight, individuals with high levels of perceived stress at baseline experienced a 0.20 kg/m2 (95% CI: 0.07-0.33) greater mean change in BMI compared with those with low stress. Additionally, individuals who experienced 2 or ≥3 stressful life events had a 0.13 kg/m2 (0.00-0.26) and 0.26 kg/m2 (0.14-0.38) greater increase in BMI compared with people with none. These relationships differed by age, smoking, and baseline BMI. Further, those with multiple sources of stressors were at the greatest risk of weight gain.

Conclusion
Psychosocial stress, including both perceived stress and life events stress, was positively associated with weight gain but not weight loss. These associations varied by age, smoking, obesity, and multiple sources of stressors. Future treatment and interventions for overweight and obese people should consider the psychosocial factors that may influence weight gain.