Weight Change in Old Age and its Association with Mortality

Newman, Anne B.; Yanez, David; Harris, Tamara B.; Duxbury, Andrew; Enright, Paul; Fried, Linda P.

doi:10.1046/j.1532-5415.2001.49258.x

Cited by 493 publications

(359 citation statements)

References 35 publications

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“…The majority (23) defined weight maintenance using absolute weight change as the metric although several used percent baseline weight. 21,22,27,33,35,36,38,49,50 The metrics percent BMI, 18 absolute BMI unit change 28 and weight change per All are cohort studies, except Crawford 2000, which was a weight gain prevention intervention. The majority of the studies in Table 2 were observational, but the Pound of Prevention Study tested an intervention to promote weight maintenance.…”

Section: Precedents Set In Published Researchmentioning

confidence: 99%

The definition of weight maintenance

et al. 2005

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There is currently no consensus on the definition of weight maintenance in adults. Issues to consider in setting a standard definition include expert opinion, precedents set in previous studies, public health and clinical applications, comparability across body sizes, measurement error, normal weight fluctuations and biologic relevance. To be useful, this definition should indicate an amount of change less than is clinically relevant, but more than expected from measurement error or fluctuations in fluid balance under normal conditions. It is an advantage for the definition to be graded by body size and to be easily understood by the public as well as scientists. Taking all these factors into consideration, the authors recommend that long-term weight maintenance in adults be defined as a weight change of o3% of body weight.

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Section: Precedents Set In Published Researchmentioning

confidence: 99%

The definition of weight maintenance

et al. 2005

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“…Further potential nutritional risk factors included were medications (antipsychotics, antidepressants, and antianxiety/hypnotics) (18), cancer, Parkinson's disease, congestive heart failure and stroke, infections and any psychiatric diagnosis (19,20,21,22), including Alzheimer's disease and other dementia (6).…”

Section: Other Health and Functional Status Indicatorsmentioning

confidence: 99%

Unintended weight loss in the elderly living at home: The aged in home care project (ADHOC)

Sørbye¹,

Schroll

Finne-Soveri³

et al. 2008

The Journal of nutrition, health and aging

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Abstract:Objective: To describe associations between unintended weight loss (UWL) and characteristics of nutritional status. Design: A comparative cross-sectional assessment study at 11 sites in Europe. The target population was a stratified random sample of 4,455 recipients of home care (405 in each random sample from 11 urban areas) aged 65 years and older. Measurements: the Resident Assessment Instrument for Home Care, version 2.0. Epidemiological and medical characteristics of clients and service utilisation were recorded in a standardized, comparative manner. UWL was defined as information of 5% or more weight loss in the last 30 days (or 10% or more in the last 180 days). Results: The final sample consisted of 4,010 persons; 74% were female. The mean ages were 80.9 ± 7.5 years (males) and 82.8 ± 7.3 years (females). No associations were found between single diagnoses and UWL, except for cancer. Cancer patients were excluded from further analyses. Persons with a Cognitive Performance Scale value (CPS) > 3 (impaired) had increased risk of UWL (OR = 2.0) compared with those scoring < 3 (less impaired). Only in the oldest group did we find a significant association between UWL and reduction in ADL and IADL functions, comparing those who scored 3 or less with those who scored more than 3 (disabled). A binary logistic regression model explained 26% of UWL: less than one meal/day, reduced appetite, malnutrition, reduced social activity, experiencing a flare-up of a recurrent or chronic problem, and hospitalisation were important indicators. Conclusion: We recommend a regular comprehensive assessment in home care to identify clients with potential risk factors for weight loss and malnutrition, in particular those discharged from hospital, and those with physical dependency or cognitive problems. This study may provide incentives to create tailored preventive strategies.

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“…Weight loss could accelerate sarcopenia in elder adults [19]. The significant association between unintentional weight loss and reduction in ADL and IADL functions could also be found [20].…”

Section: Introductionmentioning

confidence: 68%