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Background/objectives: Little is known about factors associated with weight change post discharge from hospital; yet poor nutritional status in the transition from hospital to community can result in readmission. This exploratory study aimed to determine the factors associated with weight change 30 days post discharge defined as weight gain (WG; 5+ pounds), weight loss (WL; 5+pounds) or weight stable (WS)., Subjects/methods: A total of 922 medical or surgical patients were recruited from 16 acute care hospitals in 8 Canadian provinces. Telephone interviews were completed with 747 (81%) participants 30 days post discharge using a standardized questionnaire that included: self-reported weight change, assessment of appetite, usage of healthcare services and supports for food-related activities of daily living. Covariates collected during hospitalization, including nutritional status at discharge evaluated by subjective global assessment (SGA), were used in logistic regressions., Results: Among the 747 patients, 26% reported WL, 16.7% had WG and 57.2% were WS. Those with WG were: younger (odds ratio (OR) 0.77 (0.69, 0.85)), male (OR 1.71 (1.12, 2.61)), malnourished at discharge (SGA B OR 2.13 (1.36, 3.33), SGA C OR 2.76 (1.19, 6.62)), and had a good appetite based on the low OR for fair/poor appetite (OR 0.28 (0.11, 0.66)). WL was associated with being on a special diet (OR 1.45 (1.07,1.96)) and reporting fair/poor appetite (OR 2.67 (1.76, 4.07))., Conclusions: Weight change was relatively common with WL predominating. Several variables were identified to be predictors of WL or weight gain, with appetite being common to both. Future work to further define and confirm these associations is warranted.

Background/objectives: Nutrition screening should be initiated on hospital admission by non-dietitians. This research aimed to validate and assess the reliability of the Canadian Nutrition Screening Tool (CNST) in the 'real-world' hospital setting., Subjects/methods: Adult patients were admitted to surgical and medical wards only (no palliative patients). Study 1--Nutrition Care in Canadian Hospitals (n=1014): development of the CNST (3 items: weight loss, decrease food intake, body mass index (BMI)) and exploratory assessment of its criterion and predictive validity. Study 2--Inter-rater reliability and criterion validity assessment of the tool completed by untrained nursing personnel or diet technician (DT) (n=150). Subjective Global Assessment performed by site coordinators was used as a gold standard for comparison., Results: Study 1: The CNST completed by site coordinators showed good sensitivity (91.7%) and specificity (74.8%). Study 2: In the subsample of untrained personnel (160 nurses; one DT), tool's reliability was excellent (Kappa=0.88), sensitivity was good (>90%) but specificity was low (47.8%). However, using a two-item ('yes' on both weight change and food intake) version of the tool improved the specificity (85.9%). BMI was thus removed to promote feasibility. The final two-item tool (study 1 sample) has a good predictive validity: length of stay (P<0.001), 30-day readmission (P=0.02; X(2) 5.92) and mortality (P<0.001)., Conclusions: The simple and reliable CNST shows good sensitivity and specificity and significantly predicts adverse outcomes. Completion by several untrained nursing personnel confirms its utility in the nursing admission assessment.

Objective: We examined longitudinal associations between weight dissatisfaction, weight changes, anorexia of aging, and obesity among 1,793 seniors followed over 4 years between 2003 and 2009., Method: Obesity prevalence (body mass index [BMI] ≥ 30) and prevalence/incidence of weight dissatisfaction, anorexia of aging (self-reported appetite loss), and weight changes ≥5% were assessed. Predictors of weight loss ≥5%, anorexia of aging, and weight dissatisfaction were examined using logistic regressions., Results: Half of seniors experienced weight dissatisfaction (50.6%, 95% confidence interval [CI] = [48.1, 53.1]). Anorexia of aging and obesity prevalence was 7.0% (95% CI = [5.7, 8.3]) and 25.1% (95% CI = [22.9, 27.3]), whereas incidence of weight gain/loss ≥5% was 6.6% (95% CI = [1.3, 11.9]) and 8.8% (95% CI = [3.3, 14.3]). Weight gain ≥5% predicts men's subsequent weight dissatisfaction (odds ratio [OR] = 6.66, 95% CI = [2.06, 21.60]). No other association was observed., Discussion: Weight dissatisfaction is frequent but not associated with subsequent eating disorders. In men, weight gain predicted weight dissatisfaction. Seniors' weight dissatisfaction does not necessarily equate weight changes. Due to its high prevalence, it is of public health interest to understand how seniors' weight dissatisfaction may impact health., (© The Author(s) 2014.)

Weight loss is prevalent in the elderly population, with deleterious health consequences, notably loss of lean body mass and subsequent functional decline. Protein intake below the current RDA [0.8 g/(kg · d)] is also common in older adults; however, the link between the 2 has received little attention. Our objective was to assess the relation between protein intake and incident 1-y weight loss ≥5% in community-dwelling older adults. We conducted a nested, prospective, case-control study in 1793 community-living elderly participants of the Quebec Longitudinal Study of Nutrition as a Determinant of Successful Aging (NuAge). We studied 211 incident cases of 1-y weight loss (≥5%) and 211 weight-stable controls (±2%) matched by sex and age category (70 ± 2, 75 ± 2, and 80 ± 2 y). Diet was measured by 3 nonconsecutive 24-h recalls. ORs (95% CIs) for the association between protein intake and weight loss were computed by using conditional logistic regression. After adjustment for body mass index, energy intake, appetite, smoking status, physical activity level, physical function, chronic diseases and medications, depressive symptoms, and serum albumin and ultrasensitive C-reactive protein, the ORs of weight loss in participants with low protein intakes [<0.8 g/(kg · d)] were 2.56 (95% CI: 1.01, 6.50) compared with participants with very high protein intakes [≥1.2 g/(kg · d)]. Corresponding numbers were 2.15 (95% CI: 1.02, 4.56) in participants with moderate protein intakes [0.8-<1.0 g/(kg · d)] and 1.33 (95% CI: 0.77, 2.28) in participants with high protein intakes [1.0-1.2 g/(kg · d)]. Our results suggest that protein intakes >1.0 g/(kg · d) are protective against weight loss in healthy older adults. These findings add epidemiologic evidence in support of higher optimal protein intakes than the current guidelines for healthy older adults.

Objectives: Weight change in older adults affects physical function (PF). However, data suggest that, conversely, PF may be a determinant of weight change. Our objective was to assess the role of baseline PF as a predictor of 2-year weight loss (WL) and weight gain (WG) ≥ 5% among healthy well-functioning community-dwelling older adults., Methods: The NuAge cohort (67-84 years) was classified into three groups according to the percent weight change over a 2-year follow-up: weight stable (weight change ≤ 2%; n = 629), WL ≥ 5% (n = 189), and WG ≥ 5% (n = 111). A summary measure of baseline PF was computed (sum of biceps, quadriceps, and grip strength, timed up and go, chair stand, normal and maximal gait speed, and balance performance scores [individual test score range = 0-4]; PF score range = 0-32). Multivariable logistic regression models separately assessed the relationships between baseline PF and 2-year WL and WG ≥ 5%., Results: Baseline PF was worse in both the WL (p < .001) and the WG (p = .001) groups compared with the weight stable group. In models adjusting for sex, age, body mass index, energy intake, depressive symptoms, and other significantly associated covariates, each 1-unit increase in standard deviation of PF was associated with decreased risk of either 2-year WL (odds ratio = 0.79, 95% CI = 0.63-0.99, p = .043) or WG (odds ratio = 0.74, 95% CI = 0.55-0.99, p = .041)., Conclusions: Low baseline PF was an independent common predictor of 2-year WL and WG ≥ 5% in the healthy well-functioning community-dwelling elderly population. Whether PF is an early cause or marker of weight change in this population remains to be determined.

Unintentional weight loss, or the involuntary decline in total body weight over time, is common among elderly people who live at home. Weight loss in elderly people can have a deleterious effect on the ability to function and on quality of life and is associated with an increase in mortality over a 12-month period. A variety of physical, psychological and social conditions, along with age-related changes, can lead to weight loss, but there may be no identifiable cause in up to one-quarter of patients. We review the incidence and prevalence of weight loss in elderly patients, its impact on morbidity and mortality, the common causes of unintentional weight loss and a clinical approach to diagnosis. Screening tools to detect malnutrition are highlighted, and nonpharmacologic and pharmacologic strategies to minimize or reverse weight loss in older adults are discussed.

Background: Numerous studies of the elderly population have indicated that body weight and weight changes are related to mortality, but the one group at particularly high risk of nutritional inadequacies--frail elders receiving home help services--has not been studied., Methods: A prospective cohort of 288 frail elders (81 men; 207 women; mean age: 78.2 +/- 7.6 yrs) receiving home support services was followed for 3-5 years. Nutritional variables included baseline body mass index (BMI), weight loss prior to baseline, and energy and protein intake. Covariates included age, gender, smoking, and health and functional status. Cox's multivariate survival analysis was used to identify independent predictors of mortality., Results: There were 102 deaths (35.4%) over the follow-up period. Univariate predictors included age, sex, BMI, weight loss, and functional status. In multivariate analysis, weight loss at baseline was a significant predictor of mortality, RR = 1.76 (95% CI: 1.15-2.71), as was male gender, RR = 2.71 (95% CI: 1.73-4.24), and age at baseline, RR = 1.40 (95% CI: 1.06-1.86)., Conclusion: Among free-living frail elders, weight loss is a predictor of early mortality after controlling for smoking, and functional and health status indicators. From our observations, however, we cannot conclude that prevention of weight loss would lead to increased survival. This needs to be explored in an intervention study.

Abstract: Background: Transitions out of hospital can influence recovery. Ideally, malnourished patients should be followed by someone with nutrition expertise, specifically a dietitian, post discharge from hospital. Predictors of dietetic care post discharge are currently unknown. The present study aimed to determine the patient factors independently associated with 30‐days post hospital discharge dietetic care for free‐living patients who transitioned to the community. Methodology: Nine hundred and twenty‐two medical or surgical adult patients were recruited in 16 acute care hospitals in eight Canadian provinces on admission. Eligible patients could speak English or French, provide their written consent, were anticipated to have a hospital stay of ≥2 days and were not considered palliative. Telephone interviews were completed with 747 (81%) participants using a standardised questionnaire to determine whether dietetic care occurred post discharge; 544 patients discharged to the community were included in the multivariate analyses, excluding those who were admitted to nursing homes or rehabilitation facilities. Covariates during and post hospitalisation were collected prospectively and used in logistic regression analyses to determine independent patient‐level predictors. Results: Dietetic care post discharge was reported by 61/544 (11%) of participants and was associated with severe malnutrition [Subjective Global Assessment category C: odd's ratio (OR) 2.43 (1.23–4.83)], weight loss post discharge [(OR 2.86 (1.45–5.62)], comorbidity [(OR 1.09 (1.02–1.17)] and a dietitian consultation on admission [(OR 3.41 (1.95–5.97)]. Conclusions: Dietetic care post discharge occurs in few patients, despite the known high prevalence of malnutrition on admission and discharge. Dietetic care in hospital was the most influential predictor of post‐hospital care. [ABSTRACT FROM AUTHOR]