Prediction equations for estimating body weight in older adults.

BACKGROUND: Assessing body weight in older adults may be challenging. Hence, the present study aimed to develop and cross-validate updated and reproducible equations to estimate body weight in a large sample of older adults, namely among the older-old. METHODS: In total, 1456 individuals aged ≥ 65 years, from the Nutrition UP 65 study, were included in the present analysis. The participants were randomly assigned to one of two sub-samples: development (n = 991) and validation samples (n = 465). Prediction equations using height, mid-upper arm circumference (MUAC), waist circumference (WC), calf circumference (CC) and triceps skinfold thickness (TST) were generated for the development sample using multiple regression analysis and then validated using the validation sample. RESULTS: The model with five predictor variables generated the following equations: females 65-79 years: -114.682 + 0.522 × height (cm) + 0.620 × MUAC (cm) + 0.517 × WC (cm) + 0.893 × CC (cm) + 0.111 × TST (mm) (adjusted r2  = 0.883, standard error of the estimate (SEE) = 4.4); females ≥ 80 years: -110.806 + 0.494 × height (cm) + 0.637 × MUAC (cm) + 0.500 × WC (cm) + 0.986 × CC (cm) + 0.021 × TST (mm) (adjusted r2  = 0.890, SEE = 3.9); males 65-79 years: -114.875 + 0.558 × height (cm) + 0.073 × MUAC (cm) + 0.671 × WC (cm) + 0.717 × CC (cm) + 0.182 × TST(mm) (adjusted r2  = 0.820, SEE=5.0); and males ≥ 80 years: -128.789 + 0.546 × height (cm) + 0.202 × MUAC (cm) + 0.612 × WC (cm) + 1.236 × CC (cm) + 0.093 × TST (mm) (adjusted r2  = 0.906, SEE = 3.5). CONCLUSIONS: Body weight can be estimated with good accuracy in older adults using these sex- and age-specific equations generated from regression models using three to five anthropometric predictor variables.

Sitting time and associated factors among Portuguese older adults: results from Nutrition UP 65.

Older adults are particularly susceptible to sedentary behaviours. Sitting time has been increasingly referred to as a potentially modifiable risk factor in the prevention of chronic diseases. Identifying factors associated with sitting time, particularly those that are modifiable, will allow for more effective public health strategies. This study aimed to describe sitting time among Portuguese older adults and to evaluate associated factors. A cross-sectional study including 1423 older adults ≥ 65 years old was conducted. Sitting time was assessed with the International Physical Activity Questionnaire. Socio-demographic, health, anthropometric and functional variables were collected. Bivariate and multivariate linear regression models were conducted to study the association between these variables and sitting time. The median of sitting time was 300 min/day (interquartile range = 240 min/day), which is equal to 5 h/day. The following factors were directly associated with longer sitting time: being male, age ≥ 80 years, living in Central or Southern Portugal, being retired from work, as well as presenting low physical activity, obesity or longer time to walk 4.6 metres. On the other hand, being married, having higher education and higher household income were inversely associated with longer sitting time. It can be concluded that Portuguese older adults spend a considerable amount of time sitting per day. Potentially modifiable risk factors associated with longer sitting time in this population were related to nutritional status and functional ability.

Nutritional Strategies Facing an Older Demographic: The Nutrition UP 65 Study Protocol.

BACKGROUND: The population of Portugal is aging. The lack of data on older adults' nutritional status and the lack of nutrition knowledge amongst health professionals, caregivers, and older adults themselves, remains a challenge. OBJECTIVE: The Nutrition UP 65 study aims to reduce nutritional inequalities in the older Portuguese adult population and improve knowledge regarding older Portuguese adults' nutritional status, specifically relating to undernutrition, obesity, sarcopenia, frailty, hydration, sodium, and vitamin D statuses. METHODS: A representative sample of older Portuguese adults was selected. Sociodemographic, lifestyle, anthropometric, functional, and clinical data were collected. Sodium excretion, hydration, and vitamin D statuses were assessed. RESULTS: Data collection (n=1500) took place between December, 2015 and June, 2016. Results will be disseminated in national and international scientific journals, and via Portuguese media. CONCLUSIONS: Nutrition UP 65 results will provide evidence for the design and implementation of effective preventive public health strategies regarding the elderly. These insights may represent relevant health gains and costs savings.