Nutrition
-
Malnutrition in pulmonary fibrosis may influence clinical outcomes negatively. This project aimed to investigate if weight, unintended weight loss (UWL) at baseline and weight development, and signs of sarcopenia measured by the strength, assistance with the walking, rising from a chair, climbing stairs, and falls questionnaire (SARC-F) are associated with hospital admissions and mortality for idiopathic pulmonary fibrosis outpatients in ≤1 y as well as referral to pulmonary rehabilitation. ⋯ UWL at baseline was significantly associated with risk of hospital admissions and mortality in ≤1 y in idiopathic pulmonary fibrosis outpatients. Patients with signs of sarcopenia and body mass index ≥30 kg/m2 were most often referred to pulmonary rehabilitation.
-
Only a few studies have explored the prevalence of normal-weight obesity in young adults or the development of a simple evaluation index for body fat percentage. Therefore, this study aimed to examine the prevalence of normal-weight obesity in young Chinese adults and use anthropometric measurements to develop an evaluation index. ⋯ (Waist + hip)-to-height ratio can be used as a simple evaluation index for indicating abnormal body fat percentage when higher than 1.032 in male and 1.047 in female individuals. Downregulating the normal upper limit for body mass index to 24.4 and 23.8 kg/m2 in male and female individuals, respectively, is recommended. Body mass index combined with (waist + hip)-to-height ratio allowed for more accurate screening of normal-weight obesity as an easy and cost-free evaluation measure for abnormal body fat percentage.
-
This study aimed to investigate free sugar consumption (FSC) in relation to leisure screen time in children. ⋯ Exceeding the recommendation of screen time is associated with greater FSC in children. Future interventions should be directed toward restricting screen time and FSC in children.
-
The proper intake of nutrients is essential to the growth and maturation of youngsters. In sub-Saharan Africa, 1 in 7 children dies before age 5 y, and more than a third of these deaths are attributed to malnutrition. The main purpose of this study was to develop a majority voting-based hybrid ensemble (MVBHE) learning model to accelerate the prediction accuracy of malnutrition data of under-five children in sub-Saharan Africa. ⋯ The random forest algorithm demonstrated the highest prediction accuracy (81%) compared with the decision tree, eXtreme Gradient Boosting, and k-nearest neighbors algorithms. The accuracy was then enhanced to 96% using the MVBHE model. The MVBHE model is recommended by the present study as the best way to predict malnutrition in under-five children.
-
Undernutrition, particularly wasting, is continuing to be a major challenge in developing countries like Ethiopia. However, data on the geographic variations over time are limited. We aimed to investigate the spatiotemporal variation of wasting in Ethiopia using two decades of Ethiopia Demographic and Health Surveys data, from 2000 to 2019. ⋯ The reduction in the national prevalence of wasting among children was not as expected. Spatial clustering of wasting was observed in the northern, northeastern, eastern, and western parts of Ethiopia. Spatial clustering of wasting was associated with altitude, precipitation, population density, distance to health facilities, travel time to the nearest cities, and distance to a water body. Early screening and treatment of wasted children should be strengthened. Furthermore, outreach community awareness, especially in rural parts of the country, should be recommended through community health extension workers.