Methods: Data from the National Health and Morbidity Survey (NHMS) 2018 was analysed. This survey applied a multistage stratified cluster sampling design to ensure national representativeness. Malnutrition was identified using a validated Mini Nutrition Assessment-Short Form (MNA-SF). Variables on sociodemographic, health status, and dietary practices were also obtained. The complex sampling analysis was used to determine the prevalence and associated factors of at-risk or malnutrition among the elderly.

Result: A total of 3,977 elderly completed the MNA-SF. The prevalence of malnutrition and at-risk of malnutrition was 7.3% and 23.5%, respectively. Complex sample multiple logistic regression found that the elderly who lived in a rural area, with no formal or primary level of education, had depression, Instrumental Activity of Daily Living (IADL) dependency, and low quality of life (QoL), were underweight, and had food insecurity and inadequate plain water intake were at a significant risk of malnutrition (malnutrition and at-risk), while Chinese, Bumiputra Sarawak, and BMI more than 25 kgm-2 were found to be protective.

MATERIALS AND METHODS: A cross sectional study adopting the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30) was conducted. All cancer patients attending Penang General Hospital between August-November 2011 were approached. Descriptive statistics were used to assess demographic and disease related characteristics of the patients. All analyses were performed using SPSS v 16.0.

RESULTS: Three hundred and ninety three cancer patients met the inclusion criteria and were enrolled in the study. The mean age was 53.9 (SD±13) years. The cohort was dominated by females (n=260, 66.2%). Nearly half (n=190, 48.3%) of the participants were of Malay ethnicity, practicing Islam as their religion (n=194, 49.4%). Two hundred and ninety six (n=296, 75.3%) had beene diagnosed with cancer within six months to 3 years previously. The most common primary cancer site was breast (n=143, 36.4%). The mean Global Health Status (GHS) score was 60.7 (SD=21.3). Females (mean GHS score of 62.3, p=0.035) with Malay ethnicity (mean GHS score of 63.8, p=0.047), practicing Islam as their religion (mean GHS score of 63.0, p=0.011) had better GHS scores. Patients having medical insurance had good scores (mean 65.6, p=0.021). Marital status was significantly associated with GHS scores (p=0.022). Bone cancer patientshad the lowest mean GHS score of 49.2 (p=0.044). Patients at very advanced stages of cancer featured a low GHS mean score of 52.2 (p<0.001).

METHODS: A cross sectional study by adopting European Quality of Life scale (EQ-5D) for the assessment of HRQoL was conducted. All registered HB patients attending two public hospitals in Quetta, Pakistan were approached for study. Descriptive statistics were used to describe demographic and disease related characteristics of the patients. HRQoL was scored using values adapted from the United Kingdom general population survey. EQ-5D scale scores were compared with Mann-Whitney and Kruskal-Wallis test. Standard multiple regression analysis was performed to identify predictors of HRQoL. All analyses were performed using SPSS v 16.0.

METHODS: We used data spanning 2010-2018 from children aged 2-12 years within the Chicago Area Patient-Centered Outcomes Research Network-an electronic health record network. Four clinical systems comprised the derivation sample and a fifth the validation sample. Body mass index, blood pressure, cholesterol, and blood glucose were categorized as ideal, intermediate, and poor using clinical measurements, laboratory readings, and International Classification of Diseases diagnosis codes and summed for an overall CVH score. Group-based trajectory modeling was used to create CVH score trajectories which were assessed for classification accuracy in the validation sample.

RESULTS: Using data from 122,363 children (47% female, 47% non-Hispanic White) three trajectories were identified: 59.5% maintained high levels of clinical CVH, 23.4% had high levels of CVH that declined, and 17.1% had intermediate levels of CVH that further declined with age. A similar classification emerged when the trajectories were fitted in the validation sample.

METHODS: A total sample of 300 subjects aged 6 to 23 months was recruited from urban suburbs of Kuala Lumpur and Putrajaya. Compliance with each IYCF indicator was computed according to WHO recommendations. Dietary intake based on two-day weighed food records was obtained from a sub-group (N = 119) of the total sample. The mean adequacy ratio (MAR) value was computed as an overall measure of dietary intake adequacy. Contributions of core IYCF indicators to MAR were determined by multinomial logistic regression.

RESULTS: Generally, the subjects showed high compliance for (i) timely introduction of complementary foods at 6 to 8 months (97.9%); (ii) minimum meal frequency among non-breastfed children aged 6 to 23 months (95.2%); (iii) consumption of iron-rich foods at 6 to 23 months (92.3%); and minimum dietary diversity (78.0%). While relatively high proportions achieved the recommended intake levels for protein (87.4%) and iron (71.4%), lower proportions attained the recommendations for calcium (56.3%) and energy (56.3%). The intake of micronutrients was generally poor. The minimum dietary diversity had the greatest contribution to MAR (95% CI: 3.09, 39.87) (p = 0.000) among the core IYCF indicators.