Prevalence and Determinants of Undernutrition in A Sample of Dutch Community-Dwelling Older Adults: Results from Two Online Screening Tools.
Jos W BorkentElke NaumannEmmelyne VasseEllen van der HeijdenMarian A E de van der SchuerenPublished in: International journal of environmental research and public health (2019)
To stimulate undernutrition screening among Dutch community-dwelling adults, a website was developed with general information on healthy eating for healthy aging and self-tests. Based on cross-sectional data obtained from the self-tests, we studied nutritional risk factors (early determinants) as well as risk of undernutrition (late symptoms). SCREEN II (n = 2470) was used to asses nutritional risk factors. This tool consists of 16 items regarding nutritional intake, perception of body weight, appetite, oral health and meal preparation. An adjusted SNAQ65+ (n = 687) was used to assess risk of undernutrition. This four-item tool contains questions on weight loss, appetite, walking stairs and body mass index. Differences between age-groups (65-74, 75-84, ≥85) were tested by logistic regression. Overall prevalence of nutritional risk factors was 84.1%, and increased risk of undernutrition was 56.8%. Participants aged ≥85 scored worst on almost all items of the SCREEN II and the SNAQ65+. In conclusion: A large proportion of older adults reported early determinants for increased nutrition risk, while a smaller, yet remarkable proportion scored positive on undernutrition risk. Internet screening may be a useful, contemporary, and easy, accessible way to reach older adults who are at nutritional risk and may thus contribute to early identification and prevention of undernutrition.
Keyphrases
- risk factors
- weight loss
- body weight
- physical activity
- body mass index
- cross sectional
- bariatric surgery
- community dwelling
- health information
- oral health
- high throughput
- healthcare
- social media
- machine learning
- electronic health record
- skeletal muscle
- roux en y gastric bypass
- high resolution
- lower limb
- solid state
- artificial intelligence
- data analysis