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Gong HJ, Tang X, Zhou JB. The association between weight change patterns and obesity-related complex multimorbidity: evidence from NHANES. Front Endocrinol (Lausanne) 2024; 15:1400204. [PMID: 38974571 PMCID: PMC11224475 DOI: 10.3389/fendo.2024.1400204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Accepted: 05/31/2024] [Indexed: 07/09/2024] Open
Abstract
Objective Obesity is a major risk factor for non-communicable diseases (NCDs), which has been the leading cause of death nowadays. The aim of this study is to examine the association between total changes in body mass index (BMI) across adulthood and the risk of obesity-related complex multimorbidity in elderly, characterizing the capacity of BMI waves in predicting major chronic diseases. Methods In this retrospective study, 15,520 participants were analyzed from the National Health and Nutrition Examination Survey (NHANES) from 1999 and 2018. BMI was categorized as obesity (≥30.0 kg/m²), overweight (25.0-29.9 kg/m²), normal weight (18.5-24.9 kg/m²), and underweight (<18.5 kg/m²). Odds ratios (ORs) with 95% confidence interval (CIs) for the relationship between BMI change patterns and major health outcomes included hypertension, cancer, chronic obstructive pulmonary disease, cardiovascular disease, and diabetes, and population attributable fractions (PAFs) of BMI were evaluated. Results In comparison with participants who remained non-obese, those who are stable obese showed the highest risks of developing at least one chronic disease in later life, with odds ratios of 2.76 (95% CI: 2.20 to 3.45) from age 25 years to 10 years before baseline, 2.90 (2.28 to 3.68) from age 25 years to baseline, and 2.49 (2.11 to 2.95) in the 10-year period before baseline. Moving from non-obese to obese weight-change pattern in all periods (from age 25 years to 10 years before baseline: OR = 1.82; 95% CI, 1.57 to 2.11; from age 25 years to baseline: OR = 1.87; 95% CI, 1.59 to 2.19; from 10 years before baseline to baseline: OR = 1.62; 95% CI, 1.26 to 2.08) and moving from obese to non-obese, the 10-year period before baseline (OR = 1.89; 95% CI, 1.39 to 2.57) was associated with increased risk of chronic diseases. Midlife obesity status can explain the 8.6% risk of occurrence of the chronic diseases in elderly. Conclusions Maintaining a stable healthy weight and losing weight in early adulthood and midlife are important for better life quality during the aging process. More effective strategies and policies to reduce the prevalence of obesity are needed.
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Affiliation(s)
- Hong-Jian Gong
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Xingyao Tang
- Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Jian-Bo Zhou
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
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Katsoulis M, Lai AG, Kipourou DK, Gomes M, Banerjee A, Denaxas S, Lumbers RT, Tsilidis K, Kostara M, Belot A, Dale C, Sofat R, Leyrat C, Hemingway H, Diaz-Ordaz K. On the estimation of the effect of weight change on a health outcome using observational data, by utilising the target trial emulation framework. Int J Obes (Lond) 2023; 47:1309-1317. [PMID: 37884665 PMCID: PMC10663146 DOI: 10.1038/s41366-023-01396-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 09/17/2023] [Accepted: 10/10/2023] [Indexed: 10/28/2023]
Abstract
BACKGROUND/OBJECTIVES When studying the effect of weight change between two time points on a health outcome using observational data, two main problems arise initially (i) 'when is time zero?' and (ii) 'which confounders should we account for?' From the baseline date or the 1st follow-up (when the weight change can be measured)? Different methods have been previously used in the literature that carry different sources of bias and hence produce different results. METHODS We utilised the target trial emulation framework and considered weight change as a hypothetical intervention. First, we used a simplified example from a hypothetical randomised trial where no modelling is required. Then we simulated data from an observational study where modelling is needed. We demonstrate the problems of each of these methods and suggest a strategy. INTERVENTIONS weight loss/gain vs maintenance. RESULTS The recommended method defines time-zero at enrolment, but adjustment for confounders (or exclusion of individuals based on levels of confounders) should be performed both at enrolment and the 1st follow-up. CONCLUSIONS The implementation of our suggested method [adjusting for (or excluding based on) confounders measured both at baseline and the 1st follow-up] can help researchers attenuate bias by avoiding some common pitfalls. Other methods that have been widely used in the past to estimate the effect of weight change on a health outcome are more biased. However, two issues remain (i) the exposure is not well-defined as there are different ways of changing weight (however we tried to reduce this problem by excluding individuals who develop a chronic disease); and (ii) immortal time bias, which may be small if the time to first follow up is short.
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Affiliation(s)
- M Katsoulis
- MRC Unit for Lifelong Health and Ageing, Institute of Cardiovascular Science, University College London, London, UK.
| | - A G Lai
- Institute of Health Informatics, University College London, London, UK
| | - D K Kipourou
- Inequalities in Cancer Outcomes Network, Department of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
- AstraZeneca, London, UK
| | - M Gomes
- Department of Applied Health Research, University College London, London, UK
| | - A Banerjee
- Institute of Health Informatics, University College London, London, UK
- University College London Hospitals NHS Trust, London, UK
- Barts Health NHS Trust, The Royal London Hospital, London, UK
| | - S Denaxas
- Institute of Health Informatics, University College London, London, UK
- Alan Turing Institute, London, UK
| | - R T Lumbers
- Institute of Health Informatics, University College London, London, UK
| | - K Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Maria Kostara
- Department of Pediatrics, University Hospital of Ioannina, Ioannina, Greece
| | - A Belot
- Inequalities in Cancer Outcomes Network, Department of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | - C Dale
- Department of Pharmacology and Therapeutics, University of Liverpool, Liverpool, UK
| | - R Sofat
- Department of Pharmacology and Therapeutics, University of Liverpool, Liverpool, UK
| | - C Leyrat
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK
| | - H Hemingway
- Institute of Health Informatics, University College London, London, UK
| | - K Diaz-Ordaz
- Dept of Statistical Science, Faculty of Maths & Physical Sciences, University College London, London, UK
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Shadyab AH, Manson JE, Allison MA, Laddu D, Wassertheil-Smoller S, Van Horn L, Wild RA, Banack HR, Tabung FK, Haring B, Sun Y, LeBlanc ES, Wactawski-Wende J, LeBoff MS, Naughton MJ, Luo J, Schnatz PF, Natale G, Ostfeld RJ, LaCroix AZ. Association of Later-Life Weight Changes With Survival to Ages 90, 95, and 100: The Women's Health Initiative. J Gerontol A Biol Sci Med Sci 2023; 78:2264-2273. [PMID: 37642339 PMCID: PMC10692416 DOI: 10.1093/gerona/glad177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Indexed: 08/31/2023] Open
Abstract
BACKGROUND Associations of weight changes and intentionality of weight loss with longevity are not well described. METHODS Using longitudinal data from the Women's Health Initiative (N = 54 437; 61-81 years), we examined associations of weight changes and intentionality of weight loss with survival to ages 90, 95, and 100. Weight was measured at baseline, year 3, and year 10, and participants were classified as having weight loss (≥5% decrease from baseline), weight gain (≥5% increase from baseline), or stable weight (<5% change from baseline). Participants reported intentionality of weight loss at year 3. RESULTS A total of 30 647 (56.3%) women survived to ≥90 years. After adjustment for relevant covariates, 3-year weight loss of ≥5% vs stable weight was associated with lower odds of survival to ages 90 (OR, 0.67; 95% CI, 0.64-0.71), 95 (OR, 0.65; 95% CI, 0.60-0.71), and 100 (OR, 0.62; 95% CI, 0.49-0.78). Compared to intentional weight loss, unintentional weight loss was more strongly associated with lower odds of survival to age 90 (OR, 0.83; 95% CI, 0.74-0.94 and OR, 0.49; 95% CI, 0.44-0.55, respectively). Three-year weight gain of ≥5% vs stable weight was not associated with survival to age 90, 95, or 100. The pattern of results was similar among normal weight, overweight, and obese women in body mass index (BMI)-stratified analyses. CONCLUSIONS Weight loss of ≥5% vs stable weight was associated with lower odds of longevity, more strongly for unintentional weight loss than for intentional weight loss. Potential inaccuracy of self-reported intentionality of weight loss and residual confounding were limitations.
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Affiliation(s)
- Aladdin H Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, California, USA
| | - JoAnn E Manson
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Matthew A Allison
- Department of Family Medicine, School of Medicine, University of California, San Diego, La Jolla, California, USA
| | - Deepika Laddu
- Department of Physical Therapy, College of Applied Science, University of Illinois Chicago, Chicago, Illinois, USA
| | - Sylvia Wassertheil-Smoller
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Linda Van Horn
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Robert A Wild
- Division of Reproductive Endocrinology and Infertility, Departments of Obstetrics and Gynecology, and Biostatistics and Epidemiology, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - Hailey R Banack
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Fred K Tabung
- Division of Medical Oncology, Department of Internal Medicine, College of Medicine and Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, USA
| | - Bernhard Haring
- Department of Medicine III, Saarland University Hospital, Homburg, Saarland, Germany
- Department of Medicine I, University of Wurzburg, Wurzburg, Germany
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Yangbo Sun
- Department of Preventive Medicine, College of Medicine, The University of Tennessee Health Science Center, Memphis, Tennessee, USA
| | - Erin S LeBlanc
- Kaiser Permanente, Center for Health Research, Portland, Oregon, USA
| | - Jean Wactawski-Wende
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo – SUNY, Buffalo, New York, USA
| | - Meryl S LeBoff
- Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Michelle J Naughton
- Division of Cancer Prevention and Control, Department of Internal Medicine, The Ohio State University, Columbus, Ohio, USA
| | - Juhua Luo
- Department of Epidemiology and Biostatistics, School of Public Health, Indiana University Bloomington, Bloomington, Indiana, USA
| | - Peter F Schnatz
- Department of Obstetrics/Gynecology and Internal Medicine, Reading Hospital/Tower Health, West Reading, Pennsylvania, USA
| | - Ginny Natale
- Department of Family, Population, and Preventive Medicine, Program in Public Health, Stony Brook University, Stony Brook, New York, USA
| | - Robert J Ostfeld
- Division of Cardiology, Montefiore Health System, Bronx, New York, USA
| | - Andrea Z LaCroix
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, California, USA
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Major Depressive Disorder in the Older Adult Associated With Globus Pharyngeus and Weight Loss - An Indication for Electroconvulsive Therapy. Am J Geriatr Psychiatry 2022; 30:235-239. [PMID: 34801384 DOI: 10.1016/j.jagp.2021.10.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 10/13/2021] [Accepted: 10/19/2021] [Indexed: 12/18/2022]
Abstract
Aspiration pneumonia and extreme weight loss are risks whenever globus pharyngeus (GP) complicates major depressive disorder (MDD) in the older adult. The timely administration of electroconvulsive therapy (ECT) may reverse GP in this context. We review cases of GP in depressed older adults and describe both successful outcomes, as well as a fatal outcome associated with delays in offering ECT. MDD in the older adult complicated by GP and marked weight loss, or repeated aspiration, should be considered an urgent indication for ECT.
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Kawakami Y, Hamano J. Mortality risks of body mass index and energy intake trajectories in institutionalized elderly people: a retrospective cohort study. BMC Geriatr 2022; 22:85. [PMID: 35100993 PMCID: PMC8805326 DOI: 10.1186/s12877-022-02778-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Accepted: 01/20/2022] [Indexed: 12/01/2022] Open
Abstract
Background Many factors can identify the mortality risks of institutionalized elderly people; among all such factors, body mass index (BMI) and energy intake (EI) can be employed as independent predictors. The objective of this study was to elucidate about the mortality risks and the trajectory of two parameters obtained from continuously monitored data. Methods This retrospective cohort study targeted 218 elderly people who were admitted to a nursing home for at least 6 months between 2007 and 2020 and passed away at the nursing home. BMI and EI (kcal) per body weight (BW) were continuously measured until death. Results BMI continued to decrease for 5 years until death. The rate of change of BMI significantly increased for 3 years before death (P = 0.004). In contrast, the rate of change of EI per BW significantly increased after 1 year before death (P < 0.001); in addition, 2 months before death, this rate of change significantly exceeded that of BMI (P = 0.007). In the four risk groups that were examined, a BMI of <18.0 + EI per BW of <29.2 and a BMI of <17.3 + EI per BW of <28.3 were significantly correlated with a high risk of death (log-rank test: P < 0.001, P = 0.002, respectively). There was no significant difference in the hazard ratio based on the age at the time of admission; however, when EI per BW was <23.8, the risk of death was significantly higher [hazard ratio = 4.36; 95% confidence interval: 2.31–8.24]. Conclusions Elderly people in the current study presented a tendency toward decreasing BMI starting 60 months prior to death even if EI per BW remained constant. In the 1 year before death, EI per BW rapidly decreased. When the rate of change of EI per BW exceeded the rate of decrease of BMI, it was considered to be the point of no return when death was imminent. Our study showed that identifying mortality risks from the relationship between the trajectories of the two parameters that were continuously measured for several months to years is possible.
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Affiliation(s)
- Yoshiaki Kawakami
- Department of Nursing, Tokyo Ariake University of Medical and Health Sciences, Tokyo, Japan.
| | - Jun Hamano
- Division of Clinical Medicine, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan
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Pagidipati NJ, Phelan M, Page C, Clowse M, Henao R, Peterson ED, Goldstein BA. The importance of weight stabilization amongst those with overweight or obesity: Results from a large health care system. Prev Med Rep 2021; 24:101615. [PMID: 34976671 PMCID: PMC8684020 DOI: 10.1016/j.pmedr.2021.101615] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2021] [Revised: 10/14/2021] [Accepted: 10/22/2021] [Indexed: 10/28/2022] Open
Abstract
Data on patterns of weight change among adults with overweight or obesity are minimal. We aimed to examine patterns of weight change and associated hospitalizations in a large health system, and to develop a model to predict 2-year significant weight gain. Data from the Duke University Health System was abstracted from 1/1/13 to 12/31/16 on patients with BMI ≥ 25 kg/m2 in 2014. A regression model was developed to predict patients that would increase their weight by 10% within 2 years. We estimated the association between weight change category and all-cause hospitalization using Cox proportional hazards models. Of the 37,253 patients in our cohort, 59% had stable weight over 2 years, while 24% gained ≥ 5% weight and 17% lost ≥ 5% weight. Our predictive model had reasonable discriminatory capacity to predict which individuals would gain ≥ 10% weight over 2 years (AUC 0.73). Compared with stable weight, the risk of hospitalization was increased by 37% for individuals with > 10% weight loss [adj. HR (95% CI): 1.37 (1.25,1.5)], by 30% for those with > 10% weight gain [adj. HR (95% CI): 1.3 (1.19,1.42)], by 18% for those with 5-10% weight loss [adj. HR (95% CI): 1.18 (1.09,1.28)], and by 10% for those with 5-10% weight gain [adj. HR (95% CI): 1.1 (1.02,1.19)]. In this examination of a large health system, significant weight gain or loss of > 10% was associated with increased all-cause hospitalization over 2 years compared with stable weight. This analysis adds to the increasing observational evidence that weight stability may be a key health driver.
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Affiliation(s)
- Neha J. Pagidipati
- Duke University School of Medicine, Durham, NC, USA
- Duke Clinical Research Institute, Durham, NC, USA
| | | | | | - Megan Clowse
- Duke University School of Medicine, Durham, NC, USA
| | - Ricardo Henao
- Duke University School of Medicine, Durham, NC, USA
- Duke Clinical Research Institute, Durham, NC, USA
| | | | - Benjamin A. Goldstein
- Duke University School of Medicine, Durham, NC, USA
- Duke Clinical Research Institute, Durham, NC, USA
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The Role of Diet, Alcohol, BMI, and Physical Activity in Cancer Mortality: Summary Findings of the EPIC Study. Nutrients 2021; 13:nu13124293. [PMID: 34959845 PMCID: PMC8709081 DOI: 10.3390/nu13124293] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Revised: 11/22/2021] [Accepted: 11/24/2021] [Indexed: 02/07/2023] Open
Abstract
Evidence on the impact of diet, alcohol, body-mass index (BMI), and physical activity on mortality due to cancer and other cancer-related outcomes is still scarce. Herein, we reviewed the contribution of the European Prospective Investigation into Cancer and Nutrition (EPIC) study to the current state of the art on the role of these factors in cancer mortality. We identified 45 studies using a rapid systematic review methodology. Dietary factors associated with reduced cancer mortality included raw vegetable intake; dietary fiber intake; the Mediterranean diet; other dietary scores; other diet patterns including low meat eaters, vegetarians/vegans, or fish eaters; dietary intake (or biomarkers) of some vitamins (e.g., vitamin D, vitamin K2, or Vitamin C); and intake of lignans. Physical activity and following healthy lifestyle recommendations also reduced cancer mortality risk. In contrast, dietary factors associated with higher cancer mortality risk included poor diet quality, consumption of alcohol and soft drinks including juice, and, to a lesser extent, intake of some fatty acids. Excess weight and obesity also increased the risk of cancer mortality. The EPIC study holds valuable information on diet and lifestyle factors and offers a unique opportunity to identify key diet-related factors for cancer mortality prevention.
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Muñoz Fernandez SS, Garcez FB, Alencar JCGD, Cederholm T, Aprahamian I, Morley JE, de Souza HP, Avelino da Silva TJ, Ribeiro SML. Applicability of the GLIM criteria for the diagnosis of malnutrition in older adults in the emergency ward: A pilot validation study. Clin Nutr 2021; 40:5447-5456. [PMID: 34653825 DOI: 10.1016/j.clnu.2021.09.024] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 09/02/2021] [Accepted: 09/13/2021] [Indexed: 01/07/2023]
Abstract
BACKGROUND & AIMS Acutely ill older adults are at higher risk of malnutrition. This study aimed to explore the applicability and accuracy of the GLIM criteria to diagnose malnutrition in acutely ill older adults in the emergency ward (EW). METHODS We performed a retrospective secondary analysis, of an ongoing cohort study, in 165 participants over 65 years of age admitted to the EW of a Brazilian university hospital. Nutrition assessment included anthropometry, the Simplified Nutritional Assessment Questionnaire (SNAQ), the Malnutrition Screening Tool (MST), and the Mini-Nutritional Assessment (MNA). We diagnosed malnutrition using GLIM criteria, defined by the parallel presence of at least one phenotypic [nonvolitional weight loss (WL), low BMI, low muscle mass (MM)] and one etiologic criterion [reduced food intake or assimilation (RFI), disease burden/inflammation]. We used the receiver operating characteristic (ROC) curves and Cox and logistic regression for data analyses. RESULTS GLIM criteria, following the MNA-SF screening, classified 50.3% of participants as malnourished, 29.1% of them in a severe stage. Validation of the diagnosis using MNA-FF as a reference showed good accuracy (AUC = 0.84), and moderate sensitivity (76%) and specificity (75.1%). All phenotypic criteria combined with RFI showed the best metrics. Malnutrition showed a trend for an increased risk of transference to intensive care unit (OR = 2.08, 95% CI 0.99, 4.35), and severe malnutrition for in-hospital mortality (HR = 4.23, 95% CI 1.2, 14.9). CONCLUSION GLIM criteria, following MNA-SF screening, appear to be a feasible approach to diagnose malnutrition in acutely ill older adults in the EW. Nonvolitional WL combined with RFI or acute inflammation were the best components identified and are easily accessible, allowing their potential use in clinical practice.
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Affiliation(s)
| | - Flavia Barreto Garcez
- Geriatrics Division, Faculty of Medicine, University of Sao Paulo, São Paulo, Brazil
| | - Julio César García de Alencar
- Disciplina de Emergencias Clínicas, Departamento de Clínica Médica, Faculty of Medicine, University of Sao Paulo, São Paulo, Brazil
| | - Tommy Cederholm
- Clinical Nutrition and Metabolism, Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden; Karolinska University Hospital, Stockholm, Sweden
| | - Ivan Aprahamian
- Geriatrics Division, Faculty of Medicine, University of Sao Paulo, São Paulo, Brazil
| | - John Edward Morley
- Division of Geriatric Medicine, School of Medicine, Saint Louis University, St. Louis, MO, USA
| | - Heraldo Possolo de Souza
- Disciplina de Emergencias Clínicas, Departamento de Clínica Médica, Faculty of Medicine, University of Sao Paulo, São Paulo, Brazil
| | | | - Sandra Maria Lima Ribeiro
- Nutrition Department, School of Public Health, University of Sao Paulo, São Paulo, Brazil; School of Arts, Science, and Humanity, University of Sao Paulo, São Paulo, Brazil
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Leung AYM, Sun Q, Kwan RYC, Lam SC, Deng R. Moderating effect of age on the relationships between pre-frailty and body measures. HEALTH & SOCIAL CARE IN THE COMMUNITY 2021; 29:515-525. [PMID: 32746506 DOI: 10.1111/hsc.13114] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Revised: 06/28/2020] [Accepted: 07/02/2020] [Indexed: 06/11/2023]
Abstract
This study aims to investigate the relationship between body measures and the presence of two frailty-related phenotypes, and the moderating effect of age on this relationship. This is a secondary data analysis of the baseline data of an interventional study. The participants were residents of seven districts in Hong Kong, aged 55 or older, able to ambulate independently and to function well cognitively. Pre-frailty refers to the presence of two frailty-related phenotypes: low physical activity or poor handgrip strength or both. Included in the study were 199 individuals with a mean age of 73.43 (SD 7.54). Regression models showed that body weight (OR = 0.95, 95% CI 0.92-0.99, p < .05) was significantly associated with pre-frailty, as was body height (OR = 0.88, 95% CI 0.83-0.94, p < .001). Age is a significant moderator of the relationship between pre-frailty and body weight and body height. The effect of body weight (beta = -0.044, p < .05) and height (beta = -0.16, p < .001) on pre-frailty was significant and negative in the younger age groups. The findings indicate that raw body measures (i.e. body weight, body height) are more predictive of pre-frailty than BMI in older Chinese people. However, in the old-old group, these measures are not significant predictors of pre-frailty in Chinese community-dwelling adults. Practitioners should consider adopting body measures as predictors of pre-frailty in the younger-old population.
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Affiliation(s)
- Angela Yee Man Leung
- Centre for Gerontological Nursing, School of Nursing, The Hong Kong Polytechnic University, Hong Kong, China
- Sau Po Centre on Ageing, Department of Social Work and Social Administration, The University of Hong Kong, Hong Kong, China
| | - Qian Sun
- Sau Po Centre on Ageing, Department of Social Work and Social Administration, The University of Hong Kong, Hong Kong, China
- Faculty of Social Security, School of Public Administration, Hebei University of Business and Economics, Shijiazhuang, China
| | - Rick Yiu Cho Kwan
- Centre for Gerontological Nursing, School of Nursing, The Hong Kong Polytechnic University, Hong Kong, China
| | - Simon Ching Lam
- Centre for Gerontological Nursing, School of Nursing, The Hong Kong Polytechnic University, Hong Kong, China
| | - Renli Deng
- Nursing Department, The 5th Affiliated Hospital of Zunyi Medical University, Zhuhai, China
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Huang YY, Jiang CQ, Xu L, Zhang WS, Zhu F, Jin YL, Thomas GN, Cheng KK, Lam TH. Adiposity change and mortality in middle-aged to older Chinese: an 8-year follow-up of the Guangzhou Biobank Cohort Study. BMJ Open 2020; 10:e039239. [PMID: 33277280 PMCID: PMC7722382 DOI: 10.1136/bmjopen-2020-039239] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
OBJECTIVE To examine the associations of change in body mass index (BMI) and waist circumference (WC) over an average of 4 years with subsequent mortality risk in middle-aged to older Chinese. DESIGN Prospective cohort study based on the Guangzhou Biobank Cohort Study. SETTING Community-based sample. PARTICIPANTS 17 773 participants (12 956 women and 4817 men) aged 50+ years. PRIMARY AND SECONDARY OUTCOME MEASURES Primary outcome measure was all-cause mortality. Secondary outcome measures were cardiovascular disease (CVD) and cancer mortality. Causes of death were obtained via record linkage, and coded according to the International Classification of Diseases (tenth revision). RESULTS 1424 deaths (53.4% women) occurred in the 17 773 participants (mean age 61.2, SD 6.8 years) during an average follow-up of 7.8 (SD=1.5) years, and 97.7% of participants did not have an intention of weight loss . Compared with participants with stable BMI, participants with BMI loss (>5%), but not gain, had a higher risk of all-cause mortality (HR=1.49, 95% CI 1.31 to 1.71), which was greatest in those who were underweight (HR=2.45, 95% CI 1.31 to 4.59). Similar patterns were found for WC. In contrast, for participants with a BMI of ≥27.5 kg/m2, BMI gain, versus stable BMI, was associated with 89% higher risk of all-cause mortality (HR=1.89, 95% CI 1.25 to 2.88), 72% higher risk of CVD mortality (HR=1.72, 95% CI 0.80 to 3.72) and 2.27-fold risk of cancer mortality (HR=2.27, 95% CI 1.26 to 4.10). CONCLUSION In older people, unintentional BMI/WC loss, especially in those who were underweight was associated with higher mortality risk. However, BMI gain in those with obesity showed excess risks of all-cause and cancer mortality, but not CVD mortality. Frequent monitoring of changes in body size can be used as an early warning for timely clinical investigations and interventions and is important to inform appropriate health management in older Chinese.
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Affiliation(s)
- Ying Yue Huang
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Chao Qiang Jiang
- Molecular Epidemiology Research Centre, Guangzhou No.12 Hospital, Guangzhou, China
| | - Lin Xu
- School of Public Health, Sun Yat-sen University, Guangzhou, China
- School of Public Health, the University of Hong Kong, Hong Kong, China
| | - Wei Sen Zhang
- Molecular Epidemiology Research Centre, Guangzhou No.12 Hospital, Guangzhou, China
| | - Feng Zhu
- Molecular Epidemiology Research Centre, Guangzhou No.12 Hospital, Guangzhou, China
| | - Ya Li Jin
- Molecular Epidemiology Research Centre, Guangzhou No.12 Hospital, Guangzhou, China
| | - G Neil Thomas
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Kar Keung Cheng
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Tai Hing Lam
- Molecular Epidemiology Research Centre, Guangzhou No.12 Hospital, Guangzhou, China
- School of Public Health, the University of Hong Kong, Hong Kong, China
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11
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Barazzoni R, Sulz I, Schindler K, Bischoff SC, Gortan Cappellari G, Hiesmayr M. A negative impact of recent weight loss on in-hospital mortality is not modified by overweight and obesity. Clin Nutr 2020; 39:2510-2516. [DOI: 10.1016/j.clnu.2019.11.007] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Revised: 10/23/2019] [Accepted: 11/02/2019] [Indexed: 01/06/2023]
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12
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Deossa Restrepo G, Restrepo Betancur LF, Velásquez Vargas JE. Muertes por desnutrición en América del Sur en los últimos veinte años. NOVA 2020. [DOI: 10.22490/24629448.3925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Introducción. El hambre es uno de los principales referentes en la política mundial de seguridad alimentaria. Sin embargo, cada año mueren miles de personas a causa de la falta de ingesta de alimentos. Objetivo. Evaluar el número de fallecimientos por desnutrición en América del Sur, en un periodo correspondiente a los últimos veinte años de información. Materiales y métodos. Se empleó el modelo lineal general, incorporando la prueba de Tukey con base en un nivel de significancia estadístico del 5%. Adicionalmente, se llevó a cabo la técnica multivariada clúster. Resultados. El mayor número de muertes por desnutrición ocurrió en los niños menores de cuatro años y en adultos mayores. El mayor porcentaje de muertes por desnutrición en niños menores de un año se presentó en Venezuela (23,9% mujeres; 25,4% hombres). Chile tiene el menor porcentaje de muertes por desnutrición en menores de un año (0,4% mujeres; 0,5% hombres). Conclusión. A pesar de que los países de América del Sur presentan gran disponibilidad de alimentos, las muertes por hambre siguen siendo prevalentes en parte de la región.
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13
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Rosendahl-Riise H, Dierkes J, Ådnanes S, Skodvin VA, Strand E, Ranhoff AH. Weight changes and mobility in the early phase after hip fracture in community-dwelling older persons. Eur Geriatr Med 2020; 11:545-553. [PMID: 32557251 PMCID: PMC7438288 DOI: 10.1007/s41999-020-00342-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Accepted: 06/02/2020] [Indexed: 11/26/2022]
Abstract
Aim To investigate body weight changes and their effect on mobility during the first two months following a hip fracture. Findings The loss of body weight was observed in three out of four patients in the early phase after hip fracture and was associated with decreased mobility measured by the NMS. Message Bodyweight loss is common and may further reduce mobility in hip fracture patients, but these findings need more research. Purpose Hip fractures in older persons are associated with reduced mobility and loss of independence. Few studies address the nutritional status and mobility in the early phase after hip fracture. The objective of the present study was, therefore, to investigate weight changes and their effect on mobility during the first two months following hip fracture in community-dwelling older persons without dementia. Methods Patients (> 60 years) admitted for a first hip fracture were recruited from two tertiary referral hospitals in Bergen, Norway. The patients' weights and dietary intakes were determined in the hospital and at home after two months. Mobility was assessed based on the New Mobility Score (NMS) (scale 0–9, with values > 5 regarded as sufficient mobility). Results We included 64 patients (median age 80 years, 48 women, 16 men) with information on weight collected in the hospital. Follow-up measurements were available for 32 patients, corresponding to an attrition rate of 50%. The patients had a median weight loss of 1.8 kg (IQR = − 3.7, 0 kg). Most of them had reduced mobility at two months after the surgery [median NMS = 5 (IQR = 3–6)]. Both age and the weight change after surgery were predictors of the NMS at follow-up. Conclusion Bodyweight loss was observed in three out of four patients in the early phase after hip fracture and was associated with decreased mobility measured by the NMS. The results should be interpreted with caution as half of the patients dropped out of the study and did not participate in the follow-up visit.
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Affiliation(s)
- Hanne Rosendahl-Riise
- Mohn Nutrition Research Laboratory, Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Jutta Dierkes
- Center for Nutrition, Mohn Nutrition Research Laboratory, Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Laboratory Medicine and Pathology, Haukeland University Hospital, Bergen, Norway
| | - Svanhild Ådnanes
- Center for Nutrition, Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Vilde Aabel Skodvin
- Center for Nutrition, Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Elin Strand
- Department of Clinical Science, University of Bergen, Bergen, Norway
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14
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Son KY, Kwon H, Park JH, Joh HK, Hwang SE, Cho SH, Han K, Cho B, Park YG. Association between weight change over a period of 4 years and mortality in Korean older adults. Geriatr Gerontol Int 2020; 20:474-481. [PMID: 32196904 DOI: 10.1111/ggi.13908] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Revised: 02/06/2020] [Accepted: 02/28/2020] [Indexed: 11/30/2022]
Abstract
AIM This study aimed to evaluate the association between weight change and mortality in Korean older adults. METHODS We collected data pertaining to National Screening Program participants aged ≥65 years from the Korean National Health Insurance Corporation records during 2005-2011. To this data, we included mortality data, such as the date of death, of these patients (up to and including 2017) from Statistics Korea. We defined weight change as a difference in bodyweight measured in the National Screening Program over a period of 4 years. Cox proportional hazards models were used to evaluate the association between weight change and mortality. RESULTS The study population consisted of 1 100 256 participants, and a total of 46 415 deaths were observed during a mean follow-up period of 3.2 ± 0.8 years (maximum 5.0 years). For 3 531 585 person-year follow up, the mortality rate for stable weight was 10.79 per 1000 person-years (PY). Weight loss increased the mortality rate by 68%, whereas weight gain increased the rate by 10% compared with stable weight (weight loss: mortality rate 20.28 per 1000 PY, adjusted hazard ratio 1.68, 95% confidence interval 1.65-1.72; weight gain: mortality rate 12.86 per 1000 PY, adjusted hazard ratio 1.10, 95% confidence interval 1.07-1.13). However, in subgroup analysis, for participants who were underweight at baseline, current cigarette smokers or heavy alcohol drinkers, weight gain did not increase the mortality rate. CONCLUSIONS In Korean older adults, regardless of the risk factors, both weight loss and weight gain increased the mortality rate compared with stable weight. Geriatr Gerontol Int 2020; 20: 474-481.
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Affiliation(s)
- Ki Young Son
- Department of Family Medicine, Asan Medical Center, Seoul, Korea
| | - Hyuktae Kwon
- Department of Family Medicine, Seoul National University Hospital, Seoul, Korea.,Health Promotion Center, Seoul National University Hospital, Seoul, Korea.,Department of Family Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Jin Ho Park
- Department of Family Medicine, Seoul National University Hospital, Seoul, Korea.,Health Promotion Center, Seoul National University Hospital, Seoul, Korea.,Department of Family Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Hee-Kyung Joh
- Department of Family Medicine, Seoul National University Hospital, Seoul, Korea.,Department of Family Medicine, Seoul National University College of Medicine, Seoul, Korea.,Department of Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Seo Eun Hwang
- Department of Family Medicine, Seoul National University Hospital, Seoul, Korea.,Health Promotion Center, Seoul National University Hospital, Seoul, Korea.,Department of Family Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Su Hwan Cho
- Department of Family Medicine, Seoul National University Hospital, Seoul, Korea
| | - Kyungdo Han
- Department of Biostatistics, The Catholic University of Korea College of Medicine, Seoul, Korea
| | - Belong Cho
- Department of Family Medicine, Seoul National University Hospital, Seoul, Korea.,Health Promotion Center, Seoul National University Hospital, Seoul, Korea.,Department of Family Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Yong-Gyu Park
- Department of Biostatistics, The Catholic University of Korea College of Medicine, Seoul, Korea
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15
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Yano T, Kabayama M, Kamide K. [Associations of weight loss and low serum albumin with death in community-dwelling elderly and related factors -A systematic review]. Nihon Ronen Igakkai Zasshi 2020; 57:60-71. [PMID: 32074562 DOI: 10.3143/geriatrics.57.60] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
OBJECTIVES We examined the associations of weight loss and low serum albumin level with death in community-dwelling elderly, as well as related factors by a systematic review with a meta-analysis. METHODS We searched MEDLINE, Cochrane Library (CENTRAL), Web of Science, and CHINAL for articles on cohort studies investigating the association of weight loss and low serum albumin with death in community-dwelling elderly and extracted a total of 3,812 published articles. We also investigated the factors associated with this relationship. Relative risk ratios and 95% confidence intervals were cultivated. RESULTS Based on our search for articles related to weight loss, we extracted 1,180 cases and finally analyzed 11 cases. The meta-analysis revealed that the risk ratio (RR) for mortality was 1.69 times higher than that in the weight loss group. Based on our search for articles related to low serum albumin, we extracted 2,632 cases and finally analyzed 10 cases. The mortality RR was 1.92 times higher than that in the maintenance group albumin low level group. Overall, the degree of heterogeneity in the analyzed studies was high. There were some influencing factors influencing the associations; however, the feeding behaviors, swallowing function and food eating patterns were not fully investigated. CONCLUSIONS Our meta-analysis of the relevant literature revealed that the RR for mortality was significantly high in community dwelling elderly with weight loss or low serum albumin. Based on these results, the maintenance of body weight and serum albumin would be important for preventing death and serious diseases in the community dwelling elderly.
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Affiliation(s)
- Tomoko Yano
- Bukkyo University School of Health Science.,Osaka University Gradurate School Medicine Division of Health Science
| | - Mai Kabayama
- Osaka University Gradurate School Medicine Division of Health Science
| | - Kei Kamide
- Osaka University Gradurate School Medicine Division of Health Science
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16
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Min JY, Hackstadt AJ, Griffin MR, Greevy RA, Chipman J, Grijalva CG, Hung AM, Roumie CL. Evaluation of weight change and hypoglycaemia as mediators in the association between insulin use and death. Diabetes Obes Metab 2019; 21:2626-2634. [PMID: 31373104 PMCID: PMC7055153 DOI: 10.1111/dom.13846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2019] [Revised: 07/16/2019] [Accepted: 07/29/2019] [Indexed: 12/01/2022]
Abstract
AIM To evaluate whether weight change or hypoglycaemia mediates the association between insulin use and death. MATERIALS AND METHODS In a retrospective cohort of veterans who filled a new prescription for metformin and added insulin or sulphonylurea (2001-2012), we assessed change in body mass index (BMI) and hypoglycaemia during the first 12 months of treatment intensification. Cox proportional hazards models compared the risk of death between treatment groups. Using the difference method, we estimated the indirect effect and proportion mediated through each mediator. A sensitivity analysis assessed mediators in the first 6 months of intensified therapy. RESULTS Among 28 892 patients surviving 12 months, deaths per 1000 person-years were 15.4 for insulin users and 12.9 for sulphonylurea users (HR 1.20, 95% CI 0.87, 1.64). Change in BMI and hypoglycaemia mediated 13% (-98, 98) and -1% (-37, 71) of this association, respectively. Among 30 214 patients surviving 6 months, deaths per 1000 person-years were 34.8 for insulin users and 21.3 for sulphonylurea users (HR 1.66, 95% CI 1.28, 2.15). Change in BMI and hypoglycaemia mediated 9% (1, 23) and 0% (-9, 4) of this association, respectively. CONCLUSIONS We observed an increased risk of death among metformin users intensifying treatment with insulin versus sulphonylurea and surviving 6 months of intensified therapy, but not among those surviving 12 months. This association was mediated in part by weight change.
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Affiliation(s)
- Jea Young Min
- Veterans Health Administration (VHA) Tennessee Valley
Healthcare System, Geriatric Research and Education Clinical Center (GRECC),
HSR&D Center, Nashville, Tennessee, USA
- Department of Health Policy, Vanderbilt University Medical
Center, Nashville, Tennessee, USA
| | - Amber. J. Hackstadt
- Veterans Health Administration (VHA) Tennessee Valley
Healthcare System, Geriatric Research and Education Clinical Center (GRECC),
HSR&D Center, Nashville, Tennessee, USA
- Department of Biostatistics, Vanderbilt University Medical
Center, Nashville, Tennessee, USA
| | - Marie R. Griffin
- Veterans Health Administration (VHA) Tennessee Valley
Healthcare System, Geriatric Research and Education Clinical Center (GRECC),
HSR&D Center, Nashville, Tennessee, USA
- Department of Health Policy, Vanderbilt University Medical
Center, Nashville, Tennessee, USA
- Department of Medicine, Vanderbilt University Medical
Center, Nashville, Tennessee, USA
| | - Robert A. Greevy
- Veterans Health Administration (VHA) Tennessee Valley
Healthcare System, Geriatric Research and Education Clinical Center (GRECC),
HSR&D Center, Nashville, Tennessee, USA
- Department of Biostatistics, Vanderbilt University Medical
Center, Nashville, Tennessee, USA
| | - Jonathan Chipman
- Veterans Health Administration (VHA) Tennessee Valley
Healthcare System, Geriatric Research and Education Clinical Center (GRECC),
HSR&D Center, Nashville, Tennessee, USA
- Department of Biostatistics, Vanderbilt University Medical
Center, Nashville, Tennessee, USA
| | - Carlos G. Grijalva
- Veterans Health Administration (VHA) Tennessee Valley
Healthcare System, Geriatric Research and Education Clinical Center (GRECC),
HSR&D Center, Nashville, Tennessee, USA
- Department of Health Policy, Vanderbilt University Medical
Center, Nashville, Tennessee, USA
| | - Adriana M. Hung
- Veterans Health Administration (VHA) Tennessee Valley
Healthcare System, Geriatric Research and Education Clinical Center (GRECC),
HSR&D Center, Nashville, Tennessee, USA
- Department of Medicine, Vanderbilt University Medical
Center, Nashville, Tennessee, USA
| | - Christianne L. Roumie
- Veterans Health Administration (VHA) Tennessee Valley
Healthcare System, Geriatric Research and Education Clinical Center (GRECC),
HSR&D Center, Nashville, Tennessee, USA
- Department of Medicine, Vanderbilt University Medical
Center, Nashville, Tennessee, USA
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17
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Gelhorn HL, Gries KS, Speck RM, Duus EM, Bourne RK, Aggarwal D, Cella D. Comprehensive validation of the functional assessment of anorexia/cachexia therapy (FAACT) anorexia/cachexia subscale (A/CS) in lung cancer patients with involuntary weight loss. Qual Life Res 2019; 28:1641-1653. [PMID: 30796591 DOI: 10.1007/s11136-019-02135-7] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/07/2019] [Indexed: 01/06/2023]
Abstract
PURPOSE Comprehensive (qualitative and quantitative) assessments of the 12-item functional assessment of anorexia/cachexia therapy (FAACT) anorexia/cachexia subscale (A/CS) and relevant subscales were undertaken for use in constructing potential endpoints in clinical trials of non-small cell lung cancer (NSCLC) with involuntary weight loss. METHODS Eleven participants (≥ 18 years) from six clinical sites with a diagnosis of stage III unresectable or stage IV NSCLC and involuntary weight loss (either ≥ 5% body weight loss within six months prior to screening or screening BMI < 20 kg/m2) were interviewed to evaluate the content validity of the A/CS domain. A psychometric evaluation was conducted on the A/CS domain, and symptoms and concerns subscales, using data from previously completed phase III clinical trials (ROMANA1 [N = 474] and ROMANA2 [N = 488]). RESULTS Anorexia-related symptoms were highly relevant to participants and had important impacts on their lives including energy levels, and physical, social, and psychological functioning. The majority of participants endorsed the A/CS domain items and found them to be easily understood, relevant, and comprehensive. Confirmatory factor analyses established that the A/CS symptoms and concerns subscales provided an acceptable fit as single factor models in ROMANA1 and ROMANA2. Reliability, validity, and responsiveness were established for the 12item A/CS domain, 5item anorexia symptoms subscale, and 4-item anorexia concerns subscale. CONCLUSIONS These scales have good content validity, favorable psychometric properties, and can be used for characterizing the effect of treatment on anorexia symptoms and/or anorexia-related concerns in patients with NSCLC.
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Affiliation(s)
- Heather L Gelhorn
- Patient-Centered Research, Evidera, 7101 Wisconsin Avenue, Suite 1400, 20814, Bethesda, MD, USA.
| | - Katharine S Gries
- Patient-Centered Research, Evidera, 7101 Wisconsin Avenue, Suite 1400, 20814, Bethesda, MD, USA
| | - Rebecca M Speck
- Patient-Centered Research, Evidera, 7101 Wisconsin Avenue, Suite 1400, 20814, Bethesda, MD, USA
| | - Elizabeth M Duus
- Helsinn Therapeutics (US), Inc, 170 Wood Avenue South, 5th Floor, Iselin, NJ, 08830, USA
| | - Richard K Bourne
- Helsinn Therapeutics (US), Inc, 170 Wood Avenue South, 5th Floor, Iselin, NJ, 08830, USA
| | - Dimple Aggarwal
- Helsinn Therapeutics (US), Inc, 170 Wood Avenue South, 5th Floor, Iselin, NJ, 08830, USA
| | - David Cella
- Feinberg School of Medicine, Northwerstern University, 633 N. Saint Clair Street, 19th Floor, Chicago, IL, 60611, USA
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18
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Tymoszuk U, Kumari M, Batterham R, Stafford M. Social support and trajectories of body mass index and waist to hip ratio from mid-adulthood to old age. J Epidemiol Community Health 2018; 73:111-116. [PMID: 30381465 DOI: 10.1136/jech-2018-210525] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Revised: 09/26/2018] [Accepted: 10/11/2018] [Indexed: 11/03/2022]
Abstract
BACKGROUND Although social networks' influence on obesity has been increasingly recognised, it remains unclear if different dimensions of social support, for example, emotional or practical support, received from one's closest relationship are associated with weight outcomes over mid-life and old age. METHODS Using linear mixed models we examined whether person-level body mass index (BMI) and waist to hip ratio (WHR) trajectories vary according to levels of emotional, practical and negative aspects of social support in a large UK-based cohort of healthy civil servant workers (n=5460) with objectively measured anthropometry data on five occasions over two decades (1989-1990 to 2012-2013). RESULTS We found that gender modified the associations, with more consistent patterns found in men. In men, high negative aspects of support compared with low were consistently associated with steeper increase in BMI (0.024, 95% CI 0.001 to 0.047 kg/m2) and WHR (0.00020, 95% CI -0.00001 to 0.00040) after adjustment for demographic and socioeconomic covariates, mental health, health behaviours and long-standing illness. We found that low emotional support, compared with high, was associated with steeper BMI gain in men (0.024, 95% CI 0.0001 to 0.047 kg/m2). CONCLUSIONS Low levels of negative aspects of the relationships with the closest person and high levels of emotional support may be protective against weight gain over time, particularly in men. If replicated in other studies, these results would suggest that the quality of social support in close relationships has been an overlooked risk factor for weight gain in an ageing population.
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Affiliation(s)
- Urszula Tymoszuk
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Meena Kumari
- Department of Epidemiology and Public Health, University College London, London, UK.,Institute for Social and Economic Research (ISER), University of Essex, Colchester, UK
| | - Rachel Batterham
- Department of Medicine, Centre for Obesity Research, Rayne Institute, University College London, London, UK.,University College London Hospital (UCLH) Bariatric Centre for Weight Management and Metabolic Surgery, London, UK.,National Institute of Health Research, UCLH Biomedical Research Centre, London, UK
| | - Mai Stafford
- MRC Unit for Lifelong Health and Ageing at UCL, UCL, London, UK
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19
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Pourhassan M, Cuvelier I, Gehrke I, Marburger C, Modreker MK, Volkert D, Willschrei HP, Wirth R. Prevalence of Risk Factors for the Refeeding Syndrome in Older Hospitalized Patients. J Nutr Health Aging 2018; 22:321-327. [PMID: 29484344 DOI: 10.1007/s12603-017-0917-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
OBJECTIVES The incidence of refeeding syndrome (RFS) in older patients is not well-known. The aim of the study was to determine the prevalence of known risk factors for RFS in older individuals during hospitalization at geriatric hospital departments. DESIGN AND SETTING 342 consecutive older participants (222 females) who admitted at acute geriatric hospital wards were included in a cross-sectional study. We applied the National Institute for Health and Clinical Excellence (NICE) criteria for determining patients at risk of RFS. In addition, Mini Nutritional Assessment Short Form (MNA®-SF) was used to identify patients at risk of malnutrition. Weight and height were assessed. The degree of weight loss was obtained by interview. Serum phosphate, magnesium, potassium, sodium, calcium, creatinine and urea were analyzed according to standard procedures. RESULTS Of 342 older participants included in the study (mean age 83.1 ± 6.8, BMI range of 14.7-43.6 kg/m2), 239 (69.9%) were considered to be at risk of RFS, in which 43.5% and 11.7% were at risk of malnutrition and malnourished, respectively, according to MNA-SF. Patients in the risk group had significantly higher weight loss, lower phosphate and magnesium levels. In a multivariate logistic regression analysis, low levels of phosphate and magnesium followed by weight loss were the major risk factors for fulfilling the NICE criteria. CONCLUSION The incidence of risk factors for RFS was relatively high in older individuals acutely admitted in geriatric hospital units, suggesting that, RFS maybe more frequent among older persons than we are aware of. Patients with low serum levels of phosphate and magnesium and higher weight loss are at increased risk of RFS. The clinical characteristics of the older participants at risk of RFS indicate that these patients had a relatively poor nutritional status which can help us better understand the potential scale of RFS on admission or during the hospital stay.
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Affiliation(s)
- M Pourhassan
- Maryam Pourhassan, Department of Geriatric Medicine, Marien Hospital Herne, Ruhr-University Bochum, Germany, Hölkeskampring 40, D- 44625 Herne, Germany,
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20
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Weight change and 15 year mortality: results from the European Prospective Investigation into Cancer in Norfolk (EPIC-Norfolk) cohort study. Eur J Epidemiol 2017; 33:37-53. [PMID: 29264789 PMCID: PMC5803289 DOI: 10.1007/s10654-017-0343-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2017] [Accepted: 12/09/2017] [Indexed: 11/24/2022]
Abstract
Studies have reported a higher mortality risk associated with weight loss, particularly in middle-aged and older adults, although some of these studies did find that gaining weight was also associated with an increased mortality risk. We examined changes in weight in relation to mortality in a prospective population-based cohort study of men and women, resident in Norfolk, UK. Participants were assessed at baseline (1993–1997) and at a second examination (1998–2000), as part of the European Prospective Investigation into Cancer and Nutrition (EPIC-Norfolk) study, and followed up to 2015 for mortality. Participants with a self-reported history of cancer or cardiovascular disease, body mass index < 18.5 kg/m2 or missing data on adjustment variables, at either time-point were excluded, leaving 12,580 participants, aged 39–78 in 1993–1997, eligible for analyses. Cox proportional hazards models were used to determine Hazard Ratios (HRs) for all-cause (2603 deaths), cardiovascular (749 deaths), cancer (981 deaths), respiratory (226 deaths) and other causes of mortality (647 deaths) by categories of weight change. After multivariate adjustment, the HRs (95% CIs) for all-cause mortality for men and women who lost more than 5 kg were 1.85 (1.48–2.31) and 1.64 (1.31–2.05) respectively. Higher hazards were also found for specific causes of mortality and weight loss > 5 kg. Similar associations were observed after excluding deaths in the first 5 years of follow-up. Results for weight gain were inconclusive. We conclude that objectively measured weight loss, but not weight gain, was associated with subsequent higher mortality risk in this population-based study of middle-aged and elderly men and women. However, undiagnosed, pre-existing disease and the inability to account for weight cycling need to be remembered when interpreting these results. Unravelling the causal pathways underlying this association will require more detailed studies, including that of changes in body composition.
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21
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Schaap LA, Quirke T, Wijnhoven HAH, Visser M. Changes in body mass index and mid-upper arm circumference in relation to all-cause mortality in older adults. Clin Nutr 2017; 37:2252-2259. [PMID: 29195733 DOI: 10.1016/j.clnu.2017.11.004] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2017] [Revised: 11/07/2017] [Accepted: 11/09/2017] [Indexed: 10/18/2022]
Abstract
BACKGROUND & AIMS The assessment of weight loss as an indicator of poor nutritional status in older persons is currently widely applied to establish risk of mortality. Little is known about the relationship between changes in mid-upper arm circumference (MUAC) and mortality in older individuals. The aim of the present study was to examine the association between 3-year change in MUAC and 20-year mortality in community-dwelling older adults and compare this to the association between body mass index (BMI) change and mortality. METHODS Data on changes in MUAC (cm) and BMI (kg/m2), covariates, and mortality were available for 1307 Dutch older adults (49.7% men) aged 65 years and older in 1995/96 (mean 75.6 years, SD 6.5) from Longitudinal Aging Study Amsterdam (LASA). Anthropometric measurements were performed in 1992/93 with repeated measurements in 1995/96 (baseline), and a mortality follow up until July 2015. BMI and MUAC change were divided into quintiles, with the quintile including zero defined as the reference category. Cox regression analyses were performed to examine the associations of 3-year changes in MUAC and BMI with subsequent 20-year all-cause mortality, adjusted for demographic and health factors. Age, sex and initial measurement of BMI and MUAC (1992/93) were tested for effect modification (P = <0.10). RESULTS Mean baseline BMI was 26.7 kg/m2 (SD 4.2) with a 3-year change of -0.2 (SD 1.5). Mean baseline MUAC was 30.5 cm (SD 3.5) with a 3-year change of -0.8 (SD 1.6). Age, sex, and BMI and MUAC 3 years prior were effect modifiers in the associations between change in anthropometric measurement and mortality. Decrease in MUAC was not associated with mortality in persons with a higher initial MUAC (≥31 cm), while for persons with a lower initial MUAC, a decrease in MUAC of ≤-2.15 was associated with increased mortality risk (HR 1.54; 95% CI: 1.14-2.09), also when further stratified on median age and sex. In stratified analysis of BMI change for median initial BMI (26.5) and additionally stratified for median age and sex, the associations between a BMI decrease of ≤-1.19 and mortality fluctuated, mostly statistically not significant. No associations were found for gain in MUAC or BMI. CONCLUSIONS Given that MUAC loss is more strongly and consistently associated with an increased mortality risk in older individuals with a low initial MUAC compared to BMI loss, this may be a more recommendable measure to use in clinical practice for assessing poor nutritional status, instead of weight loss.
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Affiliation(s)
- Laura A Schaap
- Department of Health Sciences, Faculty of Earth & Life Sciences, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, The Netherlands.
| | - Tara Quirke
- Department of Health Sciences, Faculty of Earth & Life Sciences, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, The Netherlands
| | - Hanneke A H Wijnhoven
- Department of Health Sciences, Faculty of Earth & Life Sciences, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, The Netherlands
| | - Marjolein Visser
- Department of Health Sciences, Faculty of Earth & Life Sciences, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, The Netherlands; Department of Nutrition and Dietetics, Internal Medicine, VU University Medical Center, Amsterdam, The Netherlands
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Sparre-Sørensen M, Kristensen GN. Malnutrition related deaths. Clin Nutr ESPEN 2017; 15:63-68. [PMID: 28531786 DOI: 10.1016/j.clnesp.2016.06.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2015] [Accepted: 06/09/2016] [Indexed: 10/21/2022]
Abstract
BACKGROUND AND AIMS Studies have shown that malnutrition increases the risk of morbidity, mortality, the length of hospital stay, and costs in the elderly population. Approximately one third of all patients admitted to geriatric wards in Denmark are malnourished according to the Danish Geriatric database. The aim of this study is to describe and examine the sudden increase in deaths due to malnutrition in the elderly population in Denmark from 1999 and, similarly, the sudden decline in malnutrition related deaths in 2007. METHOD A descriptive epidemiologic study was performed. All Danes listed in the national death registry who died from malnutrition in the period from 1994 to 2012 are included. RESULTS The number of deaths from malnutrition increased significantly during the period from 1999 to 2007, especially in the age group 70 years and over. Additionally, we document a surprising similarity between the development in excess mortality from malnutrition in the five Danish regions during the same period. CONCLUSIONS During the period 1999-2007 malnutrition was the direct cause of 340 extra deaths, and probably ten times more registered under other diseases. This development in excess mortality runs parallel in all five Danish regions over time.
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Li ZB, Wang ML, Dong SY, Sun BR, Miao XY, Fang FS, Dai ZX, Li CL, Tian H. Effects of body mass index and weight change on mortality in older men with impaired glucose regulation. Exp Gerontol 2017; 89:87-92. [DOI: 10.1016/j.exger.2016.12.022] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2016] [Revised: 12/28/2016] [Accepted: 12/30/2016] [Indexed: 11/26/2022]
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Haugsgjerd TR, Dierkes J, Vollset SE, Vinknes KJ, Nygård OK, Seifert R, Sulo G, Tell GS. Association between Weight Change and Mortality in Community Living Older People Followed for Up to 14 Years. The Hordaland Health Study (HUSK). J Nutr Health Aging 2017; 21:909-917. [PMID: 28972244 DOI: 10.1007/s12603-016-0866-z] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
OBJECTIVES To study the importance of weight change with regard to mortality in older people. DESIGN Prospective cohort study. PARTICIPANTS The cohort includes participants in the Hordaland Health Study, Norway, 1997-99 (N=2935, age 71-74 years) who had previously participated in a survey in 1992-93. MEASUREMENTS Participants with weight measured at both surveys were followed for mortality through 2012. Cox proportional hazards models were used to calculate risk of death according to changes in weight. Hazard ratios (HR) with 95% confidence intervals (CIs) for people with stable weight (± <5% weight change) were compared to people who lost (≥5%) or gained (≥5%) weight. Cox regression with penalized spline was used to evaluate the association between weight change (in kg) and mortality. Analyses were adjusted for age, sex, physical activity, smoking, diabetes, hypertension, and previous myocardial infarction or stroke. Participants with cancer were excluded. RESULTS Compared to those with stable weight, participants who lost ≥5% weight had an increased mortality risk (HR 1.59 [95% CI: 1.35-1.89]) while the group with weight gain ≥5% did not (HR 1.07 [95% CI 0.90-1.28]). Penalized spline identified those who lost more than about three kg or gained more than about 12 kg as having increased risk of death. CONCLUSION Even a minor weight loss of ≥5% or >3 kg were significantly associated with increased risk of mortality. Thus, weight should be routinely measured in older adults.
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Affiliation(s)
- T R Haugsgjerd
- Teresa Risan Haugsgjerd, Department of Global Public Health and Primary Care, University of Bergen, Kalfarveien 31, 5018 Bergen, Norway; , Tel: +47 40634711
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Graf CE, Herrmann FR, Spoerri A, Makhlouf AM, Sørensen TI, Ho S, Karsegard VL, Genton L. Impact of body composition changes on risk of all-cause mortality in older adults. Clin Nutr 2016; 35:1499-1505. [DOI: 10.1016/j.clnu.2016.04.003] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2015] [Revised: 02/16/2016] [Accepted: 04/01/2016] [Indexed: 12/26/2022]
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Janszky I, Romundstad P, Laugsand LE, Vatten LJ, Mukamal KJ, Mørkedal B. Weight and weight change and risk of acute myocardial infarction and heart failure - the HUNT Study. J Intern Med 2016; 280:312-22. [PMID: 27046302 DOI: 10.1111/joim.12494] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVES To delineate the association of weight with cardiovascular health throughout adulthood. METHODS We conducted a population-based prospective cohort study of 26 097 community-dwelling individuals who were followed for 11.4 years with measurements of cardiovascular risk factors and common chronic disorders. Body weight and height were directly measured at baseline in 1995-1997 as they had been 10 and 30 years prior to baseline. From these measurements, we estimated average body mass index (BMI) over time and calculated weight change. RESULTS The association of average BMI with acute myocardial infarction (AMI) became weaker with adjustment for the most recent BMI measurement, whilst this adjustment had a more limited effect on associations with heart failure (HF) risk. For example, the multi-adjusted hazard ratios for AMI in a comparison of individuals with average BMI until baseline ≥35 kg m(-2) and between 18.5 and 22.4 kg m(-2) decreased from 1.75 [95% confidence interval (CI) 1.04-2.95] to 1.32 (0.73-2.40). The corresponding numbers for HF were 3.12 (1.85-5.27) and 2.95 (1.53-5.71), respectively. The associations between weight change and risk of AMI and HF were U-shaped, with stable weight showing the lowest risk. CONCLUSION Sustained overweight or obesity over time is associated with increased risk of HF, even after adjustment for the most recent BMI. For AMI risk, the most recent BMI appears to be the most important. Weight change also increases risks for both outcomes beyond the effects of BMI. Our results suggest that a global epidemic of obesity is likely to increase the incidence of HF, even if BMI in middle age can be controlled.
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Affiliation(s)
- I Janszky
- Department of Public Health and General Practice, Norwegian University of Science and Technology, Trondheim, Norway.,Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden
| | - P Romundstad
- Department of Public Health and General Practice, Norwegian University of Science and Technology, Trondheim, Norway
| | - L E Laugsand
- Department of Public Health and General Practice, Norwegian University of Science and Technology, Trondheim, Norway.,Department of Cardiology, St. Olavs Hospital, Trondheim, Norway
| | - L J Vatten
- Department of Public Health and General Practice, Norwegian University of Science and Technology, Trondheim, Norway
| | - K J Mukamal
- Division of General Medicine and Primary Care, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - B Mørkedal
- Department of Public Health and General Practice, Norwegian University of Science and Technology, Trondheim, Norway.,Vestfold Hospital Trust, Tønsberg, Norway
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Jang SY, Shin YI, Kim DY, Sohn MK, Lee J, Lee SG, Oh GJ, Lee YS, Joo MC, Han EY, Chang WH, Kang C, Kim YH. Effect of obesity on functional outcomes at 6 months post-stroke among elderly Koreans: a prospective multicentre study. BMJ Open 2015; 5:e008712. [PMID: 26685024 PMCID: PMC4691741 DOI: 10.1136/bmjopen-2015-008712] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
OBJECTIVES We examined whether obesity based on body mass index (BMI) was a predictor of functional independence measure (FIM) at 6 months after ischaemic stroke onset while adjusting for stroke risk factors and covariates and stratifying by age group. DESIGN This is an interim report of the Korean Stroke Cohort for Functioning and Rehabilitation that was designed as a nested case study within a nationwide hospital-based cohort. SETTING We identified all patients who were admitted to nine representative hospitals in Korea from 2012 until 2014 under a diagnosis of acute first-ever ischaemic stroke. The hospitals were selected from the metropolitan district, mid-sized cities and a small-sized city. PARTICIPANTS The sample included 2057 patients with acute ischaemic stroke who were at least 18 years old. PRIMARY AND SECONDARY OUTCOME MEASURES We divided participants into two age levels (<65 and ≥ 65 years). Participants were classified into five groups according to their baseline BMI at admission: underweight (BMI<18.5), normal (18.5 ≤ BMI<23), overweight (23 ≤ BMI<25), obese (25 ≤ BMI<30) and extremely obese (30 ≤ BMI). RESULTS The proportion of patients who were aged ≥ 65 years was 55.0%. The proportions of underweight, normal, overweight, obese and extremely obese patients were 2.6%, 24.3%, 29.6%, 37.2% and 6.3%, respectively, in the <65 years group and 5.5%, 34.5%, 27.9%, 28.8% and 3.3%, respectively, in the ≥ 65 years group. In a multiple linear regression, the 6-month FIM after stroke in the elderly group was significantly associated with being extremely obese (7.95, p<0.05) after adjusting for confounding variables. In the <65 years group, the 6-month FIM was not associated with any weight category. CONCLUSIONS This nationwide hospital-based cohort study showed that extreme obesity is a predictor of a good 6-month FIM, especially in patients with ischaemic stroke who are at least 65 years of age.
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Affiliation(s)
- Shin Yi Jang
- Heart Vascular Stroke Imaging Center, Heart Vascular Stroke Institute, Samsung Medical Center, Seoul, Korea
| | - Yong-Il Shin
- Department of Rehabilitation Medicine, Pusan National University School of Medicine, Pusan National University Yangsan Hospital, Pusan, Korea
| | - Deog Young Kim
- Department and Research Institute of Rehabilitation Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Min Kyun Sohn
- Department of Rehabilitation Medicine, School of Medicine, Chungnam National University, Daejeon, Korea
| | - Jongmin Lee
- Department of Rehabilitation Medicine, Konkuk University School of Medicine and Konkuk University Medical Center, Seoul, Korea
| | - Sam-Gyu Lee
- Department of Physical and Rehabilitation Medicine, Chonnam National University Medical School, Gwangju, Korea
| | - Gyung-Jae Oh
- Department of Preventive Medicine, Wonkwang University School of Medicine, Iksan, Korea
| | - Yang-Soo Lee
- Department of Rehabilitation Medicine, Kyungpook National University School of Medicine, Kyungpook National University Hospital, Daegu, Korea
| | - Min Cheol Joo
- Department of Rehabilitation Medicine, Wonkwang University School of Medicine, Iksan, Korea
| | - Eun Young Han
- Department of Rehabilitation Medicine, Jeju National University Hospital, Jeju National University, School of Medicine, Jeju, Korea
| | - Won Hyuk Chang
- Department of Physical and Rehabilitation Medicine, Center for Prevention and Rehabilitation, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Chung Kang
- Department of Physical and Rehabilitation Medicine, Center for Prevention and Rehabilitation, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Yun-Hee Kim
- Heart Vascular Stroke Imaging Center, Heart Vascular Stroke Institute, Samsung Medical Center, Seoul, Korea
- Department of Physical and Rehabilitation Medicine, Center for Prevention and Rehabilitation, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
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Anderson AS, Key TJ, Norat T, Scoccianti C, Cecchini M, Berrino F, Boutron-Ruault MC, Espina C, Leitzmann M, Powers H, Wiseman M, Romieu I. European Code against Cancer 4th Edition: Obesity, body fatness and cancer. Cancer Epidemiol 2015; 39 Suppl 1:S34-45. [PMID: 26205840 DOI: 10.1016/j.canep.2015.01.017] [Citation(s) in RCA: 82] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2014] [Revised: 01/09/2015] [Accepted: 01/11/2015] [Indexed: 01/22/2023]
Abstract
It is estimated that over half the population of the European Union (EU) is overweight or obese due to an imbalance between energy expenditure and energy intake; this is related to an obesogenic environment of sociocultural, economic and marketing challenges to the control of body weight. Excess body fat is associated with nine cancer sites - oesophagus, colorectum, gall bladder, pancreas, postmenopausal breast, endometrium, ovary, kidney and prostate (advanced) - and 4-38% of these cancers (depending on site and gender) can be attributed to overweight/obesity status. Metabolic alterations which accompany excess body weight are accompanied by increased levels of inflammation, insulin, oestrogens and other hormonal factors. There are some indications that intentional weight loss is associated with reduced cancer incidence (notably in postmenopausal breast and endometrial cancers). Excess body weight is also a risk factor for several other diseases, including diabetes and heart disease, and is related to higher risk of premature death. In reviewing the current evidence related to excess body fat and cancer, the European Code against Cancer Nutrition Working Group has developed the following recommendation: 'Take action to be a healthy body weight'.
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Affiliation(s)
- Annie S Anderson
- Centre for Research into Cancer Prevention and Screening, Level 7, Mailbox 7, Ninewells Hospital & Medical School, Dundee, DD1 9SY, Scotland, United Kingdom
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - Teresa Norat
- Department of Epidemiology and Biostatistics, School of Public Health Imperial College London, St Mary's Campus, London W2 1PG, United Kingdom
| | - Chiara Scoccianti
- International Agency for Research on Cancer (IARC), 150 Cours Albert Thomas, 69372 Lyon Cedex 08, France
| | - Michele Cecchini
- Health Policy Analyst OECD, 2 rue André Pascal, 75775 Paris Cedex 16, France
| | - Franco Berrino
- Fondazione IRCSS Istituto Nazionale dei Tumori, 1 via Venezian, 20133 Milan, Italy
| | | | - Carolina Espina
- International Agency for Research on Cancer (IARC), 150 Cours Albert Thomas, 69372 Lyon Cedex 08, France
| | - Michael Leitzmann
- Department of Epidemiology and Preventive Medicine, Regensburg University, 93042 Regensburg, Germany
| | - Hilary Powers
- Human Nutrition Unit, The Medical School, Beech Hill Road, Sheffield, S10 2RX, United Kingdom
| | - Martin Wiseman
- World Cancer Research Fund International, Second Floor, 22 Bedford Square, London WC1B 3HH, United Kingdom
| | - Isabelle Romieu
- International Agency for Research on Cancer (IARC), 150 Cours Albert Thomas, 69372 Lyon Cedex 08, France.
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30
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Rakıcıoğlu N, Aksoy B, Tamer F, Yıldız EA, Samur G, Pekcan G, Besler HT. Nutritional status and eating habits of the institutionalised elderly in Turkey: a follow-up study. J Hum Nutr Diet 2015; 29:185-95. [PMID: 26036607 DOI: 10.1111/jhn.12320] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
BACKGROUND As the elderly population increases in Turkey, so do the associated health and nutritional problems. The main purpose of the present study was to determine the nutritional status of elderly individuals who live in institutions. METHODS A total of 102 elderly volunteers was recruited from seven residential homes of the Ministry of Family and Social Policies in Ankara. In the consecutive years of 2007, 2008 and 2009, dietary intake was assessed using a 24-h food recall. Nutritional status was screened using a questionnaire from the Mini-Nutritional Assessment, basic characteristics were determined and anthropometric measurements were assessed. RESULTS The percentage of elderly participants who were malnourished or at risk for malnutrition increased by the completion of the follow-up (P < 0.05). It was found that energy, total protein, animal proteins, carbohydrates, niacin, vitamin C, vitamin E and zinc intake of men decreased significantly over the years studied (P < 0.05). A significant decrease occurred among women in animal protein, vitamin B1 , niacin and the percentage of energy from proteins (P < 0.05); however, an increase in energy from fat (P < 0.05) was determined. Within the years studied, the percentage of nutrients meeting the Turkish recommended daily allowances decreased from 2007 to 2009 both in men and women. During the years 2007 to 2009, the percentage of waist circumferences >102 cm for men was 46.4%, 45.6% and 48.1%, respectively, and the percentage of waist circumferences for women >88 cm was 75.6%, 75.6% and 81.8%, respectively. CONCLUSIONS During the follow-up, significant nutritional changes were determined. To prevent malnutrition, periodical screening of nutritional status should be a priority and a standard policy for elderly people, especially for those institutionalised.
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Affiliation(s)
- N Rakıcıoğlu
- Department of Nutrition and Dietetics, Hacettepe University, Faculty of Health Science, Ankara, Turkey
| | - B Aksoy
- Department of Nutrition and Dietetics, Hacettepe University, Faculty of Health Science, Ankara, Turkey
| | - F Tamer
- Department of Nutrition and Dietetics, Hacettepe University, Faculty of Health Science, Ankara, Turkey
| | - E Akal Yıldız
- Department of Nutrition and Dietetics, Hacettepe University, Faculty of Health Science, Ankara, Turkey
| | - G Samur
- Department of Nutrition and Dietetics, Hacettepe University, Faculty of Health Science, Ankara, Turkey
| | - G Pekcan
- Department of Nutrition and Dietetics, Hacettepe University, Faculty of Health Science, Ankara, Turkey
| | - H T Besler
- Department of Nutrition and Dietetics, Hacettepe University, Faculty of Health Science, Ankara, Turkey
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Zajacova A, Huzurbazar S, Greenwood M, Nguyen H. Long-Term BMI Trajectories and Health in Older Adults: Hierarchical Clustering of Functional Curves. J Aging Health 2015; 27:1443-61. [PMID: 25953813 DOI: 10.1177/0898264315584329] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
OBJECTIVE This project contributes to the emerging research that aims to identify distinct body mass index (BMI) trajectory types in the population. We identify clusters of long-term BMI curves among older adults and determine how the clusters differ with respect to initial health. METHOD Health and Retirement Study cohort (N = 9,893) with BMI information collected in up to 10 waves (1992-2010) is analyzed using a powerful cutting-edge approach: hierarchical clustering of BMI functions estimated via the Principal Analysis by Conditional Expectations (PACE) algorithm. RESULTS Three BMI trajectory clusters emerged for each gender: stable, gaining, and losing. The initial health of the gaining and stable groups in both genders was comparable; the losing cluster experienced significantly poorer health at baseline. DISCUSSION BMI trajectories among older adults cluster into distinct types in both genders, and the clusters vary substantially in initial health. Weight loss but not gain is associated with poor initial health in this age group.
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Cheng FW, Gao X, Jensen GL. Weight Change and All-Cause Mortality in Older Adults: A Meta-Analysis. J Nutr Gerontol Geriatr 2015; 34:343-368. [PMID: 26571354 DOI: 10.1080/21551197.2015.1090362] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
This meta-analysis of observational cohort studies examined the association between weight change (weight loss, weight gain, and weight fluctuation) and all-cause mortality among older adults. We used Pub Med (MEDLINE), Web of Science, and Cochrane Library to identify prospective studies published in English from inception to November 2014. Seventeen prospective studies met the inclusion criteria and were included in this meta-analysis. Higher all-cause mortality risks were noted with weight change: weight loss (pooled RR, 1.67; 95% CI, 1.51-1.85; p < 0.001 for heterogeneity), weight gain (pooled RR, 1.21; 95% CI, 1.09-1.33; p = 0.03 for heterogeneity), and weight fluctuation (pooled RR, 1.53; 95% CI, 1.36-1.72; p = 0.43 for heterogeneity). Similar results were observed with stricter criteria for sensitivity analyses. None of the study characteristics had statistically significant effects on the pooled RR, except for study quality on weight loss. Weight change is associated with higher mortality risk among community-dwelling adults 60 years and older.
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Affiliation(s)
- Feon W Cheng
- a Department of Nutritional Sciences , The Pennsylvania State University , University Park , Pennsylvania , USA
| | - Xiang Gao
- a Department of Nutritional Sciences , The Pennsylvania State University , University Park , Pennsylvania , USA
| | - Gordon L Jensen
- a Department of Nutritional Sciences , The Pennsylvania State University , University Park , Pennsylvania , USA
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Karahalios A, Simpson JA, Baglietto L, MacInnis RJ, Hodge AM, Giles GG, English DR. Change in body size and mortality: results from the Melbourne collaborative cohort study. PLoS One 2014; 9:e99672. [PMID: 24988430 PMCID: PMC4079561 DOI: 10.1371/journal.pone.0099672] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2013] [Accepted: 05/17/2014] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND The association between change in weight or body mass index, and mortality is widely reported, however, both measures fail to account for fat distribution. Change in waist circumference, a measure of central adiposity, in relation to mortality has not been studied extensively. METHODS We investigated the association between mortality and changes in directly measured waist circumference, hips circumference and weight from baseline (1990-1994) to wave 2 (2003-2007) in a prospective cohort study of people aged 40-69 years at baseline. Cox regression, with age as the time metric and follow-up starting at wave 2, adjusted for confounding variables, was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for change in body size in relation to mortality from all causes, cardiovascular disease and cancer. RESULTS There were 1465 deaths (109 cancer, 242 cardiovascular disease) identified during an average 7.7 years of follow-up from 21 298 participants. Compared to minimal increase in body size, loss of waist circumference (HR: 1.26; 95% CI: 1.09-1.47), weight (1.80; 1.54-2.11), or hips circumference (1.35; 1.15-1.57) were associated with an increased risk of all-cause mortality, particularly for older adults. Weight loss was associated with cardiovascular disease mortality (2.40; 1.57-3.65) but change in body size was not associated with obesity-related cancer mortality. CONCLUSION This study confirms the association between weight loss and increased mortality from all-causes for older adults. Based on evidence from observational cohort studies, weight stability may be the recommended option for most adults, especially older adults.
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Affiliation(s)
- Amalia Karahalios
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria, Australia
- * E-mail:
| | - Julie A. Simpson
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Laura Baglietto
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Robert J. MacInnis
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Allison M. Hodge
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Graham G. Giles
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Dallas R. English
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria, Australia
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Winter JE, MacInnis RJ, Wattanapenpaiboon N, Nowson CA. BMI and all-cause mortality in older adults: a meta-analysis. Am J Clin Nutr 2014; 99:875-90. [PMID: 24452240 DOI: 10.3945/ajcn.113.068122] [Citation(s) in RCA: 468] [Impact Index Per Article: 46.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Whether the association between body mass index (BMI) and all-cause mortality for older adults is the same as for younger adults is unclear. OBJECTIVE The objective was to determine the association between BMI and all-cause mortality risk in adults ≥65 y of age. DESIGN A 2-stage random-effects meta-analysis was performed of studies published from 1990 to 2013 that reported the RRs of all-cause mortality for community-based adults aged ≥65 y. RESULTS Thirty-two studies met the inclusion criteria; these studies included 197,940 individuals with an average follow-up of 12 y. With the use of a BMI (in kg/m2) of 23.0-23.9 as the reference, there was a 12% greater risk of mortality for a BMI range of 21.0-21.9 and a 19% greater risk for a range of 20.0-20.9 [BMI of 21.0-21.9; HR (95% CI): 1.12 (1.10, 1.13); BMI of 20.0-20.9; HR (95% CI): 1.19 (1.17, 1.22)]. Mortality risk began to increase for BMI >33.0 [BMI of 33.0-33.9; HR (95% CI): 1.08 (1.00, 1.15)]. Self-reported anthropometric measurements, adjustment for intermediary factors, and exclusion of early deaths or preexisting disease did not markedly alter the associations, although there was a slight attenuation of the association in never-smokers. CONCLUSIONS For older populations, being overweight was not found to be associated with an increased risk of mortality; however, there was an increased risk for those at the lower end of the recommended BMI range for adults. Because the risk of mortality increased in older people with a BMI <23.0, it would seem appropriate to monitor weight status in this group to address any modifiable causes of weight loss promptly with due consideration of individual comorbidities.
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Affiliation(s)
- Jane E Winter
- School of Exercise and Nutrition Sciences, Deakin University, Burwood, Melbourne, Australia (JEW, NW, and CAN); the Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Australia (RJM); and the Centre for MEGA Epidemiology, University of Melbourne, Melbourne, Australia (RJM)
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Paquereau J, Allart E, Romon M, Rousseaux M. The long-term nutritional status in stroke patients and its predictive factors. J Stroke Cerebrovasc Dis 2014; 23:1628-33. [PMID: 24680090 DOI: 10.1016/j.jstrokecerebrovasdis.2014.01.007] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2013] [Revised: 01/07/2014] [Accepted: 01/08/2014] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Malnutrition is common in the first few months after stroke and contributes to a poor overall outcome. We analyzed long-term weight changes and their predictive factors. METHODS A total of 71 first-ever stroke patients were included in the study and examined (1) their weight on admission to the acute stroke unit (usual weight [UW]), on admission to the rehabilitation unit, on discharge from the rehabilitation unit, and then 1 year or more after the stroke (median time: 2.5 years), (2) the presence of malnutrition after stroke, and (3) possible predictive factors, namely, sociodemographic factors, clinical characteristics (concerning the stroke, the patient's current neurologic status and the presence of diabetes mellitus and depression), and the present nutritional state (including eating difficulties, anorexia, and changes in food intake and food preferences). RESULTS Body weight fell (4.0 kg) during the patients' stay in the stroke unit, increased moderately in the rehabilitation unit (2.0 kg), and returned to the UW by the long-term measurement. However, at the last observation, 40.1% of the patients weighed markedly less than their UW, 38.0% weighed markedly more, and 21.1% were relatively stable. Predictors of weight change were a change in preferences for sweet food products and a change in food intake. Malnutrition was frequent (47.9%) and associated with reduced food intake, residence in an institution, and diabetes mellitus. CONCLUSIONS Malnutrition was highly prevalent, with an important role of change in food intake and food preferences, which could result from brain lesions and specific regimens. Living in an institution needs consideration, as its negative effects can be prevented.
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Affiliation(s)
- Julie Paquereau
- Department of Neurological Rehabilitation, University Medical Center and University of Lille, Lille, France
| | - Etienne Allart
- Department of Neurological Rehabilitation, University Medical Center and University of Lille, Lille, France
| | - Monique Romon
- Department of Nutrition, University Medical Center and University of Lille, Lille, France
| | - Marc Rousseaux
- Department of Neurological Rehabilitation, University Medical Center and University of Lille, Lille, France.
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Wijnhoven HAH, van Zon SKR, Twisk J, Visser M. Attribution of Causes of Weight Loss and Weight Gain to 3-Year Mortality in Older Adults: Results From the Longitudinal Aging Study Amsterdam. J Gerontol A Biol Sci Med Sci 2014; 69:1236-43. [DOI: 10.1093/gerona/glu005] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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Ghaem Maralani H, Tai BC, Wong TY, Tai ES, Li J, Wang JJ, Mitchell P. The prognostic role of body mass index on mortality amongst the middle-aged and elderly: a competing risk analysis. Diabetes Res Clin Pract 2014; 103:42-50. [PMID: 24382466 DOI: 10.1016/j.diabres.2013.11.025] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2013] [Revised: 06/25/2013] [Accepted: 11/25/2013] [Indexed: 10/25/2022]
Abstract
AIMS To determine the relationship between body mass index (BMI) including its 5-year changes and mortality, and compare the results obtained using Cox and competing risks models. METHODS Our study subjects included 2216 persons aged ≥49 years who participated in the Blue Mountains Eye Study, Australia between 1992 and 1994, and returned for further follow-up examinations between 1997 and 1999. We examined the relationship between BMI and mortality using cubic spline. The Cox and competing risks models were used to assess the associations between baseline BMI and its 5-year changes with all-cause and cause-specific mortality. RESULTS Amongst subjects aged ≤70 years, the relationship between BMI and all-cause mortality was U-shaped. For those aged >70 years, an L-shaped relationship was seen with no elevation in risk amongst the overweight/obese. Based on the competing risks model, obesity at baseline was associated with increased risk of cardiovascular death and reduction in BMI at 5-year was linked to an increase risk of cancer death amongst those aged ≤70 years. The cause-specific Cox model showed that reduction in BMI at 5-year was associated with cancer-death regardless of age, and with cardiovascular deaths among subjects aged ≤70 years. Cox regression model showed larger magnitude of effect with wider confidence interval as compared with competing risks model. CONCLUSIONS Conditions associated with obesity are more likely to affect mortality among subjects aged ≤70 years, but not among those aged over 70 years. Cox model shows larger magnitude of effect in comparison with competing risks model.
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Affiliation(s)
- Haleh Ghaem Maralani
- Saw Swee Hock School of Public Health, National University of Singapore, National University Health System, Singapore
| | - Bee Choo Tai
- Saw Swee Hock School of Public Health, National University of Singapore, National University Health System, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore.
| | - Tien Y Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore; Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore; Duke-NUS Graduate Medical School, Singapore
| | - E Shyong Tai
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore
| | - Jialiang Li
- Department of Statistics and Applied Probability, National University of Singapore, Singapore
| | - Jie Jin Wang
- Centre for Vision Research, University of Sydney, Sydney, Australia; Centre for Eye Research Australia, University of Melbourne, Royal Victorian Eye and Ear Hospital, Victoria, Australia
| | - Paul Mitchell
- Centre for Vision Research, University of Sydney, Sydney, Australia
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Abstract
PURPOSE OF REVIEW Strategies for weight management in older adults remain controversial as overweight may protect them against mortality whereas weight loss may have harmful effects by promoting sarcopenia and bone loss. It has been suggested that weight management for obese older adults should focus more on maintaining weight and improving physical function than promoting weight loss. This review aims to specify whether intentional weight loss in older adults is a useful or a wasting disease generating strategy. RECENT FINDINGS Recent randomized controlled studies have shown that a supervised, moderate caloric restriction coupled with regular exercise (both aerobic and resistance) in obese older adults do not increase mortality risk and may conversely reduce insulin resistance, metabolic complications, and disabilities without exacerbating lean mass and bone mineral density loss. SUMMARY In obese older adults, moderate weight loss may have beneficial effects on comorbidities, functional performances, and quality of life provided that regular physical activity can be associated. An individual approach considering life expectancy, chronic comorbidities, functional status, personal motivation, and social support should be preferred. More research is needed to define the circumstances in which cautious dietary restrictions are reasonably justified in older adults. In any case, in the oldest (≥80 years) as in frail individuals, it seems reasonable to abstain from recommending weight loss.
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Affiliation(s)
- Patrice Darmon
- Department of Nutrition, Metabolic Diseases and Endocrinology, Sainte-Marguerite University Hospital, INRA UMR1260/INSERM UMR1062, Nutrition, Obesity and Risk of Thrombosis, Aix-Marseille University, Marseille, France.
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Zajacova A, Ailshire J. Body mass trajectories and mortality among older adults: a joint growth mixture-discrete-time survival analysis. THE GERONTOLOGIST 2013; 54:221-31. [PMID: 23355450 DOI: 10.1093/geront/gns164] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
PURPOSE OF THE STUDY The aim of this study was to investigate heterogeneity in body weight trajectories among older adults and their association with mortality risks. DESIGN AND METHODS Information on body mass index (BMI) and survival come from nine waves of the Health and Retirement Study, a 16-year survey of adults aged 51-61 at baseline (N = 9,703). We used a sex-stratified joint growth mixture-discrete time survival model to characterize BMI trajectory groups and their associated mortality. RESULTS Three distinct classes of BMI trajectories were identified: "stable overweight," "obese gaining," and "obese losing." Relative to the stable overweight class, which comprised about 90% of the sample, the obese gaining class had approximately 50% higher mortality risk; the highest mortality was found in the obese losing category (OR > 2.7, p < .001). The results were similar for men and women. IMPLICATIONS The findings highlight substantial heterogeneity in weight trajectories of older Americans, as well as large survival differentials across the classes. The direction of weight changes appears inextricably linked to the overall BMI level in terms of predicting older adults' longevity. Weight loss is associated with particularly high mortality risk even when the typical BMI change is from obesity to overweight.
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Affiliation(s)
- Anna Zajacova
- Address correspondence to Anna Zajacova, University of Wyoming, Dept. 3293, 1000 E University Ave., Laramie, WY. E-mail:
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de Hollander EL, Bemelmans WJE, de Groot LCPGM. Associations between changes in anthropometric measures and mortality in old age: a role for mid-upper arm circumference? J Am Med Dir Assoc 2012; 14:187-93. [PMID: 23168109 DOI: 10.1016/j.jamda.2012.09.023] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2012] [Revised: 09/19/2012] [Accepted: 09/19/2012] [Indexed: 10/27/2022]
Abstract
OBJECTIVES In elderly individuals, little is known about changes in different anthropometric measures with respect to mortality. We examined the association between changes in eight anthropometric measures and mortality in an elderly population. DESIGN Longitudinal study including baseline measurements in 1988-1990 and repeated measures in 1993. SETTING European towns. PARTICIPANTS A total of 1061 older adults born in 1913-1918 from the Survey in Europe on Nutrition and the Elderly, A Concerted Action study were included in this study. MEASUREMENTS Weight, body mass index, waist circumference, waist to hip ratio, waist to height ratio, mid-upper arm circumference (MUAC), triceps skinfold thickness, and corrected arm muscle area were taken during both measurements. RESULTS A Cox regression model was used to examine the association between anthropometric changes (divided into quintiles, smallest change = reference category) and all-cause and cardiovascular disease mortality over approximately 6 years of follow-up, adjusted for baseline measurement of application, age, sex, smoking, education, physical activity, and major chronic diseases. A decrease in weight (≥3.2 kg), waist circumference (≥3.1 cm), and MUAC (≥1.6 cm and 0.6-1.6 cm) were (near) significantly associated with an all-cause mortality risk of 1.48 (95% CI: 0.99-2.20), 1.52 (95% CI: 1.01-2.31), 1.81 (95% CI: 1.17-2.79), and 1.66 (95% CI: 1.10-2.49), respectively. Also for MUAC, an increase (≥1.3 cm) was significantly associated with an increased all-cause and cardiovascular disease mortality risk [hazard ratio, 1.52 (95% CI: 1.00-2.31) and 1.94 (95% CI: 1.00-3.75), respectively]. CONCLUSION Associations were observed for decreases in only 3 of 8 anthropometric measures and all-cause mortality. Decreases in MUAC had the strongest association with mortality and was the only measure in which an increase also was associated with mortality. This suggests a role for MUAC in the prediction of mortality in elderly individuals.
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Affiliation(s)
- Ellen L de Hollander
- Centre for Prevention and Health Services Research, National Institute for Public Health and the Environment, Bilthoven, The Netherlands.
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Zekry D, Herrmann FR, Vischer UM. The Association Between the Body Mass Index and 4-Year All-Cause Mortality in Older Hospitalized Patients. ACTA ACUST UNITED AC 2012; 68:705-11. [DOI: 10.1093/gerona/gls207] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
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de Hollander EL, Bemelmans WJ, Boshuizen HC, Friedrich N, Wallaschofski H, Guallar-Castillón P, Walter S, Zillikens MC, Rosengren A, Lissner L, Bassett JK, Giles GG, Orsini N, Heim N, Visser M, de Groot LC. The association between waist circumference and risk of mortality considering body mass index in 65- to 74-year-olds: a meta-analysis of 29 cohorts involving more than 58 000 elderly persons. Int J Epidemiol 2012; 41:805-17. [PMID: 22467292 DOI: 10.1093/ije/dys008] [Citation(s) in RCA: 104] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND For the elderly, the association between waist circumference (WC) and mortality considering body mass index (BMI) remains unclear, and thereby also the evidence base for using these anthropometric measures in clinical practice. This meta-analysis examined the association between WC categories and (cause-specific) mortality within BMI categories. Furthermore, the association of continuous WC with lowest and increased mortality risks was examined. METHODS Age- and smoking-adjusted relative risks (RRs) of mortality associated with WC-BMI categories and continuous WC (including WC and WC(2)) were calculated by the investigators and pooled by means of random-effects models. RESULTS During a 5-year-follow-up of 32 678 men and 25 931 women, we ascertained 3318 and 1480 deaths, respectively. A large WC (men: ≥102 cm, women: ≥88 cm) was associated with increased all-cause mortality RRs for those in the 'healthy' weight {1.7 [95% confidence interval (CI): 1.2-2.2], 1.7 (95% CI: 1.3-2.3)}, overweight [1.1(95% CI: 1.0-1.3), 1.4 (95%: 1.1-1.7)] and obese [1.1 (95% CI: 1.0-1.3), 1.6 (95% CI: 1.3-1.9)] BMI category compared with the 'healthy' weight (20-24.9 kg/m(2)) and a small WC (<94 cm, men; <80 cm, women) category. Underweight was associated with highest all-cause mortality RRs in men [2.2 (95% CI: 1.8-2.8)] and women [2.3 (95% CI: 1.8-3.1]. We found a J-shaped association for continuous WC with all-cause, cardiovascular (CVD) and cancer, and a U-shaped association with respiratory disease mortality (P < 0.05). An all-cause (CVD) mortality RR of 2.0 was associated with a WC of 132 cm (123 cm) in men and 116 cm (105 cm) in women. CONCLUSIONS Our results showed increased mortality risks for elderly people with an increased WC-even across BMI categories- and for those who were classified as 'underweight' using BMI. The results provide a solid basis for re-evaluation of WC cut-points in ageing populations.
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Affiliation(s)
- Ellen L de Hollander
- Centre for Prevention and Health Services Research, National Institute for Public Health and the Environment, Bilthoven, The Netherlands.
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Stehr MD, von Lengerke T. Preventing weight gain through exercise and physical activity in the elderly: a systematic review. Maturitas 2012; 72:13-22. [PMID: 22381255 DOI: 10.1016/j.maturitas.2012.01.022] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2012] [Accepted: 01/28/2012] [Indexed: 12/23/2022]
Abstract
This review examines the role of exercise and physical activity for preventing weight gain in older people. A structured search using MeSH-vocabulary and Title/Abstract-searches was conducted in PubMed for January 2000 to June 2011, identifying weight gain and exercise or physical activity as study topics, and aged adults as target group. In study selection, all types of exercise and physical activity and any measure of weight change in aged adults (≥65 years) or postmenopausal women were considered. N=9 primary studies were identified. All were conducted in the US, with one study additionally including samples from Canada and the UK. Three studies focused on aged adults, while six concentrated specifically on postmenopausal women. Forms of exercise or physical activity comprised self-reported exercise history in four studies and low, moderate or high intensity exercise interventions in five studies. Four studies combined exercise with a hypocaloric diet and included comparison groups receiving either diet only, health education, stretching or a delayed intervention (one study each). Exercise was associated with weight loss (1.1-6 kg) in all intervention studies, all of which studied an overweight sample, and with weight maintenance in most observational studies, all of which studied a general population or otherwise overweight-unspecific sample. In sum, exercise and physical activity can effectively prevent weight gain in older adults and postmenopausal women either in terms of weight loss or maintenance. They can preserve lean body mass and thus are important for the balance between potentially positive and negative effects of weight reduction in later life. In addition, since all intervention studies were conducted with an overweight sample, it seems that primordial prevention (in terms of preventing the development of risk factors such as excess weight in the first place) might be a neglected issue in geriatric and postmenopausal prevention.
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Affiliation(s)
- Mareike D Stehr
- Hannover Medical School, Centre for Public Health and Healthcare, Medical Psychology Unit, Hannover, Germany.
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Taing KY, Ardern CI, Kuk JL. Effect of the timing of weight cycling during adulthood on mortality risk in overweight and obese postmenopausal women. Obesity (Silver Spring) 2012; 20:407-13. [PMID: 21760629 DOI: 10.1038/oby.2011.207] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Inconsistent results exist for whether or not weight cycling (WgtC) and weight variability (WgtV) increase mortality risk. The aim of this study was to examine the effect of WgtC and WgtV during adulthood on mortality risk. Data was obtained from the Women's Health Initiative (WHI) observational study (OS) dataset, acquired from the National Heart, Lung and Blood Institute (N = 47,473 overweight and obese women; age 50-79 years). Women were categorized (stable; WgtV: weight-gainer or loser; or WgtC) based on weight changes during early (18-35 years), mid (35-50 years), and late (50 years to current age) adulthood. Those with weight changes of <5% during all three time-periods were classified as being stable-weight. Weight-gainers were those with at least one period of weight-gain (≥5%) without a period of weight-loss (≥5%), and weight-losers were those with at least one period of loss without a period of gain during all time-periods. Those who experienced both a period of weight-gain and loss (≥5%) were categorized as WgtC. Compared to stable-weight individuals, WgtC and WgtV across adulthood were not significantly associated with mortality risk when the age-period of weight change was not considered. However, when considering the age period, increased mortality risk was observed for every 5 kg of weight-gain during early (hazard ratio (HR) = 1.04 (1.00-1.07)) or mid-adulthood (HR = 1.05 (1.02-1.08)), or for every 5 kg of weight-loss since mid (HR = 1.12 (1.01-1.24)) or late-adulthood (HR = 1.12 (1.04-1.20)). In conclusion, merely investigating WgtC and WgtV by weight changes across adulthood may not be sufficient to fully describe mortality risk, and the age at which the weight change occurred might be as important to consider.
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Affiliation(s)
- Kevin Y Taing
- Faculty of Health, School of Kinesiology and Health Science, York University, Toronto, Ontario, Canada
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Woods JL, Iuliano-Burns S, Walker KZ. Weight loss in elderly women in low-level care and its association with transfer to high-level care and mortality. Clin Interv Aging 2011; 6:311-7. [PMID: 22267919 PMCID: PMC3257887 DOI: 10.2147/cia.s27334] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
Background The purpose of this study was to determine whether unintentional weight loss in older women predicts an imminent transition out of low-level care (either to higher-level care or by mortality). Methods Fifty-three Australian women, ambulatory while living in low-level care and requiring minimal assistance, were studied. At baseline, when the women were aged (mean ± standard deviation) 86.2 ± 5.3 years, body composition was assessed by dual energy X-ray absorptiometry, dietary intake was determined by a three-day weighed food record, a venous blood sample was taken, and both muscle strength and physical functioning were measured. The women were then followed up for 143 weeks to record the composite outcome of transfer to high-level care or mortality. Results During follow-up, unintended loss of body weight occurred in 60% of the women, with a mean weight loss of −4.6 ± 3.6 kg. Seven women (13.2%) died, and seven needed transfer to high-level care. At baseline, those who subsequently lost weight had a higher body mass index (P < 0.01) because they were shorter (P < 0.05) but not heavier than the other women. Analysis of their dietary pattern revealed a lower dietary energy (P < 0.05) and protein intake (P < 0.01). The women who lost weight also had lower hip abductor strength (P < 0.01), took longer to stand and walk (P < 0.05), and showed a slower walking speed (P < 0.01). Their plasma C-reactive protein was higher (P < 0.05) and their serum albumin was lower (P < 0.01) than women who did not lose weight. Nonintentional weight loss was a significant predictor of death or transfer to high care (hazards ratio 0.095, P = 0.02). Conclusion Weight loss in older women predicts adverse outcomes, so should be closely monitored.
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Affiliation(s)
- Julie L Woods
- Department of Nutrition and Dietetics, Monash University, Clayton, Australia
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Santos DA, Silva AM, Baptista F, Santos R, Gobbo LA, Mota J, Sardinha LB. Are cardiorespiratory fitness and moderate-to-vigorous physical activity independently associated to overweight, obesity, and abdominal obesity in elderly? Am J Hum Biol 2011; 24:28-34. [PMID: 22121086 DOI: 10.1002/ajhb.21231] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2011] [Revised: 09/21/2011] [Accepted: 10/07/2011] [Indexed: 12/30/2022] Open
Abstract
OBJECTIVES This study aimed to examine the independent association of cardiorespiratory fitness (CRF) and physical activity (PA) with overweight and total and abdominal obesity in an elderly population. METHODS A total of 112 males and 185 females, 65-103 years, were assessed for PA with accelerometers and results from six-minute walk test were used as a CRF marker. Waist circumference was dichotomized into normal or abdominal obesity and BMI was categorized into normal, overweight, or obesity. Binary logistic regression models were performed. RESULTS Binary logistic regressions showed that, moderate-to-vigorous PA (MVPA) predicted OR for abdominal obesity (OR = 1.4%; P = 0.026), obesity (OR = 2.9%; P < 0.001), and both conditions coupled (OR% = 4.0%; P < 0.001). Even adjusting for CRF, MVPA remained a significant predictor. CRF was associated with OR for abdominal obesity (OR = 0.4%; P = 0.001). CONCLUSION In conclusion, higher CRF is associated with lower risk for abdominal obesity in elderly. Independently MVPA predicts OR for obesity, abdominal obesity, and the cluster of both conditions.
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Affiliation(s)
- Diana A Santos
- Exercise and Health Laboratory, Faculty of Human Kinetics, Technical University of Lisbon, 1495-688 Cruz-Quebrada, Portugal
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