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      Clinical Interventions in Aging (submit here)

      This international, peer-reviewed Open Access journal by Dove Medical Press focuses on prevention and treatment of diseases in people over 65 years of age. Sign up for email alerts here.

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      Benefits and risks of weight-loss treatment for older, obese women

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          Abstract

          Background

          A key issue in the treatment of obesity in older adults is whether the health benefits of weight loss outweigh the potential risks with respect to musculoskeletal injury.

          Objective

          To compare change in weight, improvements in metabolic risk factors, and reported musculoskeletal adverse events in middle-aged (50–59 years) and older (65–74 years), obese women.

          Materials and methods

          Participants completed an initial 6-month lifestyle intervention for weight loss, comprised of weekly group sessions, followed by 12 months of extended care with biweekly contacts. Weight and fasting blood samples were assessed at baseline, month 6, and month 18; data regarding adverse events were collected throughout the duration of the study.

          Results

          Both middle-aged (n = 162) and older (n = 56) women achieved significant weight reductions from baseline to month 6 (10.1 ± 0.68 kg and 9.3 ± 0.76 kg, respectively) and maintained a large proportion of their losses at month 18 (7.6 ± 0.87 kg and 7.6 ± 1.3 kg, respectively); there were no significant differences between the two groups with respect to weight change. Older women further experienced significant reductions in systolic blood pressure, HbA 1c, and C-reactive protein from baseline to month 6 and maintained these improvements at month 18. Despite potential safety concerns, we found that older women were no more likely to experience musculoskeletal adverse events during the intervention as compared with their middle-aged counterparts.

          Conclusion

          These results suggest that older, obese women can experience significant health benefits from lifestyle treatment for obesity, including weight loss and improvements in disease risk factors. Further investigation of the impact of weight loss on additional health-related parameters and risks (eg, body composition, muscular strength, physical functioning, and injuries) in older adults is needed.

          Most cited references23

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          Excess deaths associated with underweight, overweight, and obesity.

          As the prevalence of obesity increases in the United States, concern over the association of body weight with excess mortality has also increased. To estimate deaths associated with underweight (body mass index [BMI] or =30) in the United States in 2000. We estimated relative risks of mortality associated with different levels of BMI (calculated as weight in kilograms divided by the square of height in meters) from the nationally representative National Health and Nutrition Examination Survey (NHANES) I (1971-1975) and NHANES II (1976-1980), with follow-up through 1992, and from NHANES III (1988-1994), with follow-up through 2000. These relative risks were applied to the distribution of BMI and other covariates from NHANES 1999-2002 to estimate attributable fractions and number of excess deaths, adjusted for confounding factors and for effect modification by age. Number of excess deaths in 2000 associated with given BMI levels. Relative to the normal weight category (BMI 18.5 to or =30) was associated with 111,909 excess deaths (95% confidence interval [CI], 53,754-170,064) and underweight with 33,746 excess deaths (95% CI, 15,726-51,766). Overweight was not associated with excess mortality (-86,094 deaths; 95% CI, -161,223 to -10,966). The relative risks of mortality associated with obesity were lower in NHANES II and NHANES III than in NHANES I. Underweight and obesity, particularly higher levels of obesity, were associated with increased mortality relative to the normal weight category. The impact of obesity on mortality may have decreased over time, perhaps because of improvements in public health and medical care. These findings are consistent with the increases in life expectancy in the United States and the declining mortality rates from ischemic heart disease.
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            Comparative validation of the Block, Willett, and National Cancer Institute food frequency questionnaires : the Eating at America's Table Study.

            Researchers at the National Cancer Institute developed a new cognitively based food frequency questionnaire (FFQ), the Diet History Questionnaire (DHQ). The Eating at America's Table Study sought to validate and compare the DHQ with the Block and Willett FFQs. Of 1,640 men and women recruited to participate from a nationally representative sample in 1997, 1,301 completed four telephone 24-hour recalls, one in each season. Participants were randomized to receive either a DHQ and Block FFQ or a DHQ and Willett FFQ. With a standard measurement error model, correlations for energy between estimated truth and the DHQ, Block FFQ, and Willett FFQ, respectively, were 0.48, 0.45, and 0.18 for women and 0.49, 0.45, and 0.21 for men. For 26 nutrients, correlations and attenuation coefficients were somewhat higher for the DHQ versus the Block FFQ, and both were better than the Willett FFQ in models unadjusted for energy. Energy adjustment increased correlations and attenuation coefficients for the Willett FFQ dramatically and for the DHQ and Block FFQ instruments modestly. The DHQ performed best overall. These data show that the DHQ and the Block FFQ are better at estimating absolute intakes than is the Willett FFQ but that, after energy adjustment, all three are more comparable for purposes of assessing diet-disease risk.
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              Health consequences of obesity in the elderly: a review of four unresolved questions.

              Obesity prevalence is growing progressively even among older age groups. Controversy exists about the potential harms of obesity in the elderly. Debate persists about the relation between obesity in old age and total or disease-specific mortality, the definition of obesity in the elderly, its clinical relevance, and about the need for its treatment. Knowledge of age-related body composition and fat distribution changes will help us to better understand the relationships between obesity, morbidity and mortality in the elderly. Review of the literature supports that central fat and relative loss of fat-free mass may become relatively more important than BMI in determining the health risk associated with obesity in older ages. Weight gain or fat redistribution in older age may still confer adverse health risks (for earlier mortality, comorbidities conferring independent adverse health risks, or for functional decline). Evaluation of comorbidity and weight history should be performed in the elderly in order to generate a comprehensive assessment of the potential adverse health effects of overweight or obesity. The risks of obesity in the elderly have been underestimated by a number of confounders such as survival effect, competing mortalities, relatively shortened life expectancy in older persons, smoking, weight change and unintentional weight loss. Identification of elderly subjects with sarcopenic obesity is probably clinically relevant, but the definition of sarcopenic obesity, the benefits of its clinical identification, as well as its relation to clinical consequences require further study. Studies on the effect of voluntary weight loss in the elderly are scarce, but they suggest that even small amounts of weight loss (between 5-10% of initial body weight) may be beneficial. In older as well as in younger adults, voluntary weight loss may help to prevent the adverse health consequences of obesity.
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                Author and article information

                Journal
                Clin Interv Aging
                Clinical Interventions in Aging
                Clinical Interventions in Aging
                Dove Medical Press
                1176-9092
                1178-1998
                2013
                2013
                11 February 2013
                : 8
                : 157-166
                Affiliations
                [1 ]Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
                [2 ]National Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, MD, USA
                [3 ]Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
                [4 ]Weight Control and Diabetes Research Center, Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University and The Miriam Hospital, Providence, RI, USA
                [5 ]Department of Statistics, University of Florida, Gainesville, FL, USA
                [6 ]Division of Statistics and Scientific Computation, University of Texas at Austin, Austin, TX, USA
                [7 ]College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA
                Author notes
                Correspondence: Michael G Perri, College of Public Health and Health Professions, University of Florida, PO Box 100185, Gainesville, FL, 32610-0185, USA, Tel +1 352 273 6214, Fax +1 352 273 6199, Email mperri@ 123456phhp.ufl.edu
                Article
                cia-8-157
                10.2147/CIA.S38155
                3573815
                23430455
                f37cbcf3-024d-4368-b2e8-5d7846633b91
                © 2013 Rossen et al, publisher and licensee Dove Medical Press Ltd.

                This is an Open Access article which permits unrestricted noncommercial use, provided the original work is properly cited.

                History
                Categories
                Original Research

                Health & Social care
                lifestyle intervention,adverse events,metabolic risk factors
                Health & Social care
                lifestyle intervention, adverse events, metabolic risk factors

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