Individuals receiving hemodialysis are at increased risk of malnutrition; however, regular diagnosis of malnutrition using subjective global assessment (SGA) is time-consuming. This study aimed to determine whether the Canadian Nutrition Screening Tool (CNST) or the Geriatric Nutrition Risk Index (GNRI) screening tools could accurately identify hemodialysis patients at risk for malnutrition. A retrospective medical chart review was conducted for in-centre day shift hemodialysis patients (n = 95) to obtain the results of the SGA assessment and the CNST screener and to calculate the GNRI score. Sensitivity and specificity analyses showed only a fair agreement between the SGA and CNST (sensitivity = 20%; specificity 96%; κ = .210 (95% CI, -0.015 to .435), p < .05) and between the SGA and GNRI (sensitivity = 35%; specificity = 88%; κ = .248 (95% CI, .017 to .479), p < .05). There was no significant statistical difference between the accuracy of either tool in identifying patients at risk of malnutrition (p = .50). The CNST and GNRI do not accurately screen for risk of malnutrition in the hemodialysis population; therefore, further studies are needed to determine an effective malnutrition screening tool in this population.

Purpose: To examine the social network factors associated with changes in nutrition risk scores, measured by SCREEN-8, over three years, in community-dwelling Canadians aged 45 years and older, using data from the Canadian Longitudinal Study on Aging (CLSA).Methods: Change in SCREEN-8 scores between the baseline and first follow-up waves of the CLSA was calculated by subtracting SCREEN-8 scores at follow-up from baseline scores. Multivariable linear regression was used to examine the factors associated with change in SCREEN-8 score.Results: The mean SCREEN-8 score at baseline was 38.7 (SD = 6.4), and the mean SCREEN-8 score at follow-up was 37.9 (SD = 6.6). The mean change in SCREEN-8 score was -0.90 (SD = 5.99). Higher levels of social participation (participation in community activities) were associated with increases in SCREEN-8 scores between baseline and follow-up, three years later.Conclusions: Dietitians should be aware that individuals with low levels of social participation may be at risk for having their nutritional status decrease over time and consideration should be given to screening them proactively for nutrition risk. Dietitians can develop and support programs aimed at combining food with social participation.

This study aimed to determine which social network, demographic, and health-indicator variables were able to predict the development of high nutrition risk in Canadian adults at midlife and beyond, using data from the Canadian Longitudinal Study on Aging. Multivariable binomial logistic regression was used to examine the predictors of the development of high nutrition risk at follow-up, 3 years after baseline. At baseline, 35.0 per cent of participants were at high nutrition risk and 42.2 per cent were at high risk at follow-up. Lower levels of social support, lower social participation, depression, and poor self-rated healthy aging were associated with the development of high nutrition risk at follow-up. Individuals showing these factors should be screened proactively for nutrition risk.

It is not known if nutrition risk screening of older adults should be a standard practice in primary care. The evidence in support of nutrition risk screening of older adults in primary care was examined and critically analyzed using an umbrella review. The peer reviewed and grey literature were searched for clinical practice guidelines (CPGs) and systematic reviews (SRs). Titles and abstracts were independently screened by the two authors. Resources were excluded if they did not apply to older adults, did not discuss nutrition/malnutrition risk screening, or were in settings other than primary care. Full texts were independently screened by both authors, resulting in the identification of six CPGs and three SRs that met the review criteria. Guidelines were appraised with the AGREE II tool and SRs with the AMSTAR 2 tool. The quality of the CPGs was high, while the quality of the SRs was low. The CPGs and SRs acknowledged a lack of high-quality research on the benefits of regular nutrition risk screening for older adults in primary care; however, CPGs recommended annual screening for older adults in primary care practices or other community settings. High-quality research investigating nutrition risk screening of older adults in primary care is needed.

OBJECTIVE: Exposure to gestational diabetes mellitus (GDM) in utero may impact nutritional intake and lifestyle habits in early childhood. However, it is unclear whether nutritional status predicts greater risk for metabolic disturbances, such as insulin resistance (IR). The primary objectives were: 1) to determine parent-reported nutritional risk scores in 2-year-old children born to women with and without GDM and 2) to assess whether these scores predict IR in 5-year-old children.
METHODS: Children exposed (n=34) and unexposed (n=46) to GDM were screened at 2 years of age using the Toddler version of the Nutrition Screening Tool for Every Preschooler (NutriSTEP). At a 5-year follow up, IR was assessed using the Homeostatic Model Assessment for Insulin Resistance (HOMA-IR).
RESULTS: Total NutriSTEP scores ranged from 6 to 33, with higher scores indicating greater risk. After controlling for infant birthweight, sex of the child, child ethnicity, maternal age at time of pregnancy, breastfeeding status and maternal prepregnancy body mass index, average NutriSTEP scores were higher in children exposed to GDM compared with those unexposed (13.8±1.1 vs 11.2±1.1, p=0.03). NutriSTEP scores at 2 years emerged as a positive independent predictor of HOMA-IR at 5 years. For each unit increase in NutriSTEP score, suggesting greater nutritional risk, we saw a 0.48 (95% confidence interval, 0.17 to 0.80; p=0.003) increase in score on the HOMA-IR.
CONCLUSIONS: Parent-reported nutritional risk is greater in GDM-exposed children, and these nutritional behaviours developed during the first years of life may predispose to metabolic disturbance in early childhood.

Approximately 30 per cent of those over the age of 65 living in the community fall at least once each year, and a similar proportion are at nutrition risk. Screening is an important component of prevention. The objective of this study was to understand how to add nutrition risk screening to a falls risk screening program in family health teams (FHTs). Interview participants (n = 31) were staff/management, regional representatives, and clients from six FHTs that had started integrating screening. Thematic analysis was conducted. Themes identified how to develop screening programs: setting up for successful screening, making it work, and following up with risk. An overarching theme recognized \"it\'s about building relationships\". Adding nutrition risk to a falls risk screening program takes effort, and is different for each FHT based on their work flow and client population. Determining how to integrate screening into the work flow and planning to address identified risk are necessary components.