Impact of food insecurity and its influencing factors on the risk of malnutrition among COVID-19 patients.

INTRODUCTION: Few studies focused on the impact of food insecurity severity on the risk of malnutrition among COVID-19 patients in Saudi Arabia. OBJECTIVES: This study described the prevalence of food insecurity among COVID-19 patients, its severity, and its associated factors. Additionally, the impact of the severity of food insecurity on the risk of malnutrition was determined. It is hypothesized that food insecurity is associated with an increased risk of malnutrition among COVID-19 patients. METHOD: A cross-sectional study was conducted in Al Madinah Al Munawarah in Saudi Arabia. Patients with confirmed COVID-19 and acute severe or nonsevere illness were enrolled. The Food Insecurity Experience Scale was used to determine the severity of food insecurity, and risk of malnutrition was assessed using the Malnutrition Screening Tool. Demographic characteristics, history of medical conditions, food intake, and body mass index (BMI) were assessed. RESULTS: A total of 514 patients were enrolled, with 391 (76%) having acute nonsevere COVID-19 symptoms. A total of 14.2% of patients suffered from food insecurity. Of these, 17% had severe symptoms. The severity of food insecurity was influenced by patients' education (P = 0.02, 95% CI 0.019-0.225), weight loss (P = 0.0001, 95% CI 0.252-0.752), and loss of appetite (P = 0.0001, 95% CI 0.293-0.604). Fifteen percent of patients were at risk of malnutrition. Many obese patients suffered from severe COVID-19 symptoms (P = 0.029, 95% CI 0.02-0.539). The risk of malnutrition was associated with the severity of food insecurity (P = 0.001, 95% CI -0.056- -0.014), BMI (P = 0.049, 95% CI 0.000-0.042), and employment status (P = 0.034, 95% CI 0.002-0.048). CONCLUSION: Food insecurity and the risk of malnutrition among COVID-19 patients should be assessed to prevent adverse health outcomes.

The prevalence and nutritional status of adolescent Saudi girls with disordered eating.

This study on adolescents was intended to assess the prevalence of disordered eating attitudes and the nutritional status of adolescent girls in Saudi Arabia. Disordered eating attitudes and behaviour were assessed using the EAT-26. The type of eating disorder (ED) was determined using Diagnostic statistical manual of mental disorders, fifth edition. The nutritional status of the adolescent girls was determined by measuring their weight and height twice using standard protocols. The BMI-for-age and height-for-age were defined using WHO growth charts. Comparisons between adolescent girls with and without EDs were conducted using SPSS version 26. Eating disorders (EDs) were prevalent among 10⋅2 % of these girls. Other specified feeding or EDs were the most prevalent ED (7⋅6 %), followed by unspecified feeding or eating disorder (2⋅4 %). Anorexia nervosa was common among 0⋅3 % of the girls. The eating disordered adolescents were either overweight (7⋅7 %), obese (10⋅3 %), stunted (7⋅7 %) or severely stunted (2⋅6 %). ANOVA revealed that the BMI-for-age was influenced by age (P = 0⋅028), the type of ED (P = 0⋅019) and the EAT-26 (P < 0⋅0001). Pearson's correlation showed that the EAT-26 score increased significantly with the BMI (r 0⋅22, P = 0⋅0001), height (r 0⋅12, P = 0⋅019) and weight (r 0⋅22, P = 0⋅0001). The early detection of EDs among adolescents is highly recommended to reduce the risk associated with future impaired health status. Nutrition professionals must target adolescents, teachers and parents and provide nutritional education about the early signs and symptoms of ED and the benefits of following a healthy dietary pattern.

Atherogenic Index of Plasma and Anthropometric Measurements among Osteoporotic Postmenopausal Sudanese Women: Possible Risk for Cardiovascular Disease.

Introduction: Data examining the health of menopausal women and the prevalence of osteoporosis remain to be limited in Africa, especially in sub-Saharan countries. Thus, in this current study, we aimed to assess the atherogenic index of plasma (AIP) and anthropometric measurements of osteoporotic postmenopausal women and determine their risk for cardiovascular disease (CVD). Methods: This is a cross-sectional, community-based study. Postmenopausal women (n = 300), aged ≥45 years, were recruited from Khartoum state, Sudan. Dual-energy X-ray absorptiometry was used to assess bone density. Weight, height, and waist circumference were measured twice. Fasting blood samples (5 ml) were collected to determine total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C). AIP was calculated as an indicator of CVD risk. Results: The mean age of the postmenopausal women was 61.6 ± 10.2 years (range 47-90 years). Women (n = 80) had the normal T-score, and an equal number had osteoporosis (n = 110) and osteopenia (n = 110). The prevalence of osteoporosis was 36.7%. Many postmenopausal women with normal T-scores suffered from general (71.2%) and central (94%) obesity. Postmenopausal women had high TC (24.4%), TG (25.6%), LDL-C (13.7%), and low HDL-C (76.0%) levels. Osteoporotic women (36.4%) were found to have a medium to high risk of CVD as determined by AIP. Women with normal T-scores had a higher number of CVD risk factors. A positive correlation was noted between AIP and TC among osteopenic (r = 0.292; P=0.002) and osteoporotic women (r = 0.265; P < 0.001). Conclusion: Osteoporosis was prevalent among Sudanese postmenopausal women who also had an increased risk for CVD. Public health education about osteoporosis and CVD risk is thus recommended.