METHODS: An electronic data search in Web of Science, SCOPUS, and PubMed for relevant papers; those written in English; those reporting quantitative data; and those including more than one hundred patients who received just chemotherapy were included. Studies involving participants that received other kinds of anti-neoplastic therapies were excluded.
RESULTS: A total of 35 papers published between January 2000 and December 2021 were retrieved from the search databases of which (11612 patients) met the inclusion criteria. Findings showed that fatigue negatively affected QOL with a pooled prevalence of 49% (95% CI; 25.00-74.00) and the significant heterogeneity between articles was (I²=98%, P <0.001). Further, breast cancer contributed to the majority of selected articles with about 55 % (95%CI; 9:00- 94:00), followed by cancer (unspecified) 44% (95%CI; 5:00 - 92:00). Most studies (71%) (95%CI; 4:00 - 99:00) used the brief fatigue inventory (BFI) tool to assess severity of fatigue and 39% (95%CI; 17:00 -68:00) employed the European Organisation for the Research and Treatment of Cancer Quality of Life Questionnaire to evaluate QOL among cancer survivors.
CONCLUSION: The prevalence of fatigue in cancer patients is high and fatigue has a negative impact on QOL of cancer patients receiving chemotherapy. Directionality, fatigue needs to be addressed and treated properly for better improvement of health status and QOL in cancer patients.
METHODS: A cross-sectional study was conducted on T2DM patients at a tertiary hospital outpatient using the Malay and English version of the EQ-5D-5L questionnaire. Health utility values were derived using the Malaysian EQ-5D-5L value set. Ordinary least squares (OLS) multivariable regression model was used to estimate the health utility decrements associated with T2DM-related complications and clinical characteristics.
RESULTS: A total of 513 T2DM patients were recruited. Overall, pain was the most affected of all five EQ-5D-5L dimensions. Patients with foot ulcer, amputation, severe heart failure and frequent hypoglycemia reported more problems collectively in all EQ-5D-5L dimensions. Older age, lower education level, longer duration of T2DM, urine protein creatine index (UPCI) > 0.02 g/mmol, and injection therapy were significantly associated with lower EQ-5D-5L utility values (p
METHODS: We queried the Centers for Disease Control and Prevention's Wide-Ranging Online Data for Epidemiologic Research database among adults aged ≥25 from 1999 to 2019. Heart failure/cardiomyopathy were listed as the main causes of death, with obesity as a contributing cause. We calculated age-adjusted mortality rates (AAMR) per 100,000 individuals and estimated the average annual percent change (AAPC). We also evaluated the social vulnerability of United States counties (2014-2018).
RESULTS: There were 29,334 deaths related to heart failure/cardiomyopathy among patients with comorbid obesity. The overall AAMR increased from 0.41 in 1999 to 0.94 in 2019, with an AAPC of 3.78 (95 % CI, 3.41-4.14). The crude mortality rate increase for heart failure/cardiomyopathy was greater in individuals with comorbid obesity than in those without. Males had a higher AAMR than females (0.78 vs 0.55). African Americans also had higher AAMR than Whites (1.35 vs 0.62). The AAMR was higher in rural areas than in urban regions (0.76 vs 0.66). The overall AAMR was higher in counties with social vulnerability index-Quartile 4 (SVI-Q4) (most vulnerable) (1.08) compared to SVI-Q1 (least vulnerable) (0.63) with a risk ratio of 1.71 (95 % CI: 1.61-1.83).
CONCLUSION: Heart failure/cardiomyopathy mortality in individuals with comorbid obesity was rising. Males, African Americans, and individuals from rural regions had higher AAMR than their counterparts.
METHODS: Cross-sectional data from a multicenter cohort of 419 HF outpatients were used. Both direct and indirect mapping approaches were attempted using 5 sets of explanatory variables and 8 models (ordinary least squares, Tobit, censored least absolute deviations, generalized linear model, 2-part model [TPM], beta regression-based model, adjusted limited dependent variable mixture model, and multinomial ordinal regression [MLOGIT]). The models' predictive performance was assessed through 10-fold cross-validated mean absolute error [MAE] and root mean squared error [RMSE]). Potential prediction bias was also examined graphically. The best-performing models, with the lowest RMSE and no bias, were then identified.
RESULTS: Among the models evaluated, TPM, which included age, sex, and 5 AQoL-6D dimension scores as predictors, appears to be the best-performing model for directly predicting EQ-5D-5L HSUVs from AQoL-6D. TPM yielded the lowest MAE (0.0802) and RMSE (0.1116), and demonstrated predictive accuracy for HSUVs >0.2 without significant bias. A MLOGIT model developed for response mapping had suboptimal predictive accuracy.
CONCLUSIONS: This study developed potentially useful mapping algorithms for generating Malaysian EQ-5D-5L HSUVs from AQoL-6D responses among patients with HF when direct EQ-5D-5L data are unavailable.
OBJECTIVE: This study aimed to retrospectively evaluate the impact of a digital behavioral coaching program on year-to-year changes in employee health status in a cohort of Indonesian employees.
METHODS: This retrospective real-world exploratory analysis of secondary health data followed 774 employees of an Indonesian company who completed company-sponsored health screenings between 2021 and 2022 and were given access to Naluri (Naluri Hidup Sdn Bhd), a holistic digital therapeutics platform offering digital behavioral health coaching and self-help tools. Participants were retrospectively classified as those who received active coaching (n=177), passive coaching (n=108), and no coaching (n=489). Linear mixed-effects models were used to evaluate the year-to-year changes in health outcomes across the 3 employee groups, with post hoc analyses evaluating within-group differences between the 2 time points and between-group differences at follow-up.
RESULTS: Significant time×group interaction effects were detected for body weight, BMI, hemoglobin A1c, low-density lipoprotein, total cholesterol, and systolic and diastolic blood pressure. Post hoc pairwise comparisons revealed significant improvements in hemoglobin A1c (mean difference [Mdiff]=-0.14, P=.008), high-density lipoprotein (Mdiff=+2.14, Phealth outcomes throughout the 2 time points. At follow-up, those who received active coaching between 2021 and 2022 reported significantly lower body weight (Phealth status. Given the rising burden of NCDs in the Southeast Asian region, our findings underscore the role that workplace digital health interventions can play in preventing and managing chronic disease risk factors.
KEY MESSAGES: A number of findings with a translational and clinical focus have already emerged. In the mothers, we found that changes and differences in food consumption varied across ethnic groups, with persistence of traditional beliefs, during pregnancy and the postpartum period. During pregnancy, higher maternal glucose levels, even in the absence of gestational diabetes mellitus, had graded relations with infant adiposity. Relations between maternal emotional health and birth outcomes and neurodevelopment have been identified. Genotype (25%) and in particular gene × environment interactions (75%) shape interindividual variations in the DNA methylome at birth. The complex effects of fixed genetic variations and different in utero environments can influence the epigenetic status at birth and the later-life phenotype.
CONCLUSIONS: The richness of the clinical data in 3 ethnicities, the extent of the biospecimen collection, and the extensive infancy and preschool follow-up have allowed us to study the biological pathways that link fetal development to health outcomes. In the coming years, more sophisticated analyses of epigenotype-phenotype relationships will become possible as the children grow and develop. Our studies will lead to the development of clinical and population-based interventions to reduce the burden of NCD.