OBJECTIVE: With the growing body of evidence supporting the use of eHealth interventions, the intention is to conduct a meta-analysis on various health outcomes of eHealth interventions among ischaemic heart disease (IHD) patients.
METHODS: Based on PRISMA guidelines, eligible studies were searched through databases of Web of Science, Scopus, PubMed, EBSCOHost, and SAGE (PROSPERO registration CRD42021290091). Inclusion criteria were English language and randomised controlled trials published between 2011 to 2021 exploring health outcomes that empower IHD patients with eHealth interventions. RevMan 5.4 was utilised for meta-analysis, sensitivity analysis, and risk of bias (RoB) assessment while GRADE software for generating findings of physical health outcomes. Non-physical health outcomes were analysed using SWiM (synthesis without meta-analysis) method.
RESULTS: This review included 10 studies, whereby, six studies with 895 participants' data were pooled for physical health outcomes. Overall, the RoB varied significantly across domains, with the majority was low risks, a substantial proportion of high risks and a sizeable proportion of unclear. With GRADE evidence of moderate to high quality, eHealth interventions improved low density lipoprotien (LDL) levels in IHD patients when compared to usual care after 12 months of interventions (SMD -0.26, 95% CI [-0.45, -0.06], I2 = 0%, p = 0.01). Significance appraisal in each domain of the non-physical health outcomes found significant findings for medication adherence, physical activity and dietary behaviour, while half of the non-significant findings were found for other behavioural outcomes, psychological and quality of life.
CONCLUSIONS: Electronic Health interventions are found effective at lowering LDL cholesterol in long-term but benefits remain inconclusive for other physical and non-physical health outcomes for IHD patients. Integrating sustainable patient empowerment strategies with the advancement of eHealth interventions by utilising appropriate frameworks is recommended for future research.
METHODS: For this descriptive-analytical study, we recruited the mothers of one-year-old children attending primary health centers in Gonbad-e-Kavoos city, Iran. The data was collected using a questionnaire comprising the World Health Organization Domestic Violence, Ages and Stages Questionnaire-12; and queries related to the participants' socio-economic, obstetrics, demographic, and anthropometric characteristics. The body mass index z (BMI z) scores of the children were divided into five categories based on the World Health Organization's classification: severely underweight (z < -3), underweight (-3 ≤ z < -2), normal (-2 ≤ z < 1), overweight (1 ≤ z ≤ 2), and obese (z > 2). The data were subjected to descriptive analysis, chi-square test, and regression.
RESULTS: A total of 596 of mother-child dyads were included in this study. The prevalence of psychological, physical, and sexual IPV was 29.5%, 7.4%, and 2.4%, respectively. Most children (91.7%) had normal weight while the rest were overweight or obese. Developmental problems were reported in 1.7% of children. The education level of the father was significantly related to IPV (p =0.001) while the type of his occupation was related to delay in child growth (p =0.020). There was no significant difference between BMI z-score and developmental disabilities in the children of women exposed and not exposed to any type of IPV.
CONCLUSIONS: The prevalence of psychological IPV was high while those of physical and sexual IPV were low. The rates of poor child growth and development were also low. The father's educational and socio-economic status influenced IPV and the children's growth deficits.
METHODS: This three-phase study was conducted among Malaysian population. Phase 1 involved forward and backward translations of the Scale to Malay language by four professional bilingual translators. In Phase 2, the new M-COVID-19-BS instrument was piloted on 30 participants who suggested minor lexical modifications. Phase 3 consisted of online recruiting of Malaysian citizens to answer a composite questionnaire comprising the M-COVID-19-BS, Copenhagen Burnout Inventory (CBI), World Health Organization Quality of Life Scale Abbreviated Version (WHOQOL-BREF), and Fear of COVID-19 Scale (FCV-19S). Data were statistically analyzed.
RESULTS: The composite four-part questionnaire in Malay was answered by N = 225 Malaysian citizens. The M-COVID-19-BS instrument demonstrated a good internal consistency (Cronbach's alpha = 0.926) and had a unidimensional factor structure. M-COVID-19-BS scores positively correlated with the three CBI subscales, showing evidence of convergent validity. Negative correlation was reported between M-COVID-19-BS and WHOQOL-BREF, achieving discriminant validity. M-COVID-19-BS also exhibited moderate positive correlations with the FCV-19S, thus supporting its concurrent validity.
CONCLUSIONS: Results demonstrate that M-COVID-19-BS is a valid and reliable instrument to assess burnout symptoms related to COVID-19 among Malay-speaking populations either collectively or as a self-care tool to detect burnout symptoms without needing to further burden the already overwhelmed Malaysian healthcare system.
METHODS: This was a cross-sectional study of the public in Yemen. The relationship between participants' sociodemographic factors and their responses was assessed by the chi-square test.
RESULTS: A total of 748 participants agreed to participate in the study. Regarding the nature of the diseases, nearly half of the participants (48.8%, n=352) believed that COVID-19 is a naturally occurring human virus that is a serious and fatal disease (61.2%, n=448). The majority (74.9%; n=518) did not agree that bacteria cause COVID-19. More than half of the participants (57.5%, n=423) believed this disease is transmitted to humans through a host animal. Regarding the vulnerable groups to develop severe COVID-19 infection, most of the participants pointed out that the elderly (94.3%, n=705), people with chronic diseases (89.9%, n=669), and pregnant women (53%, n=365) were more susceptible to severe diseases. Regarding symptoms, the majority (61.9%, n=458) of the participants agreed that the symptoms of COVID-19 are similar to those of seasonal influenza. Additionally, the majority (81.9%, n=579) agreed that some individuals develop more severe symptoms than seasonal influenza, particularly those with chronic illness. Gender, age, and education were found to be associated with participants' perceptions regarding the nature of the virus and susceptibility to severe disease.
CONCLUSION: Participants demonstrate a good understanding of the nature and susceptibility to complications associated with COVID-19 disease and its relationship to influenza. However, the respondents with a lower level of education might require additional educational campaigns to improve their awareness of the disease.
MATERIAL AND METHODS: In this cross-sectional study, 102 patients with suspected OSA underwent standard polysomnography. All patients with an apnea-hypopnea index (AHI) of ≥5 with symptoms were diagnosed as having OSA. A fasting blood sample was collected from all patients. Blood levels of triglycerides (TGs), total cholesterol (TC), high-density lipoprotein cholesterol (HDL), and low-density lipoprotein cholesterol (LDL) were measured. The relationship between the AHI and lipid profiles was analyzed, and linear regression analysis was performed to evaluate the effect of dyslipidemia on OSA.
RESULTS: The patients with OSA had a significantly higher TG level and a significantly lower HDL level than did those without OSA. The lipid abnormalities increased with OSA severity. The mean serum TG level was higher in the severe OSA group (175±46.5 vs. 153±42.45, mg/dl P = 0.048), and the mean serum HDL level was lower in the severe OSA group (38.43 ± 5.19 vs. 45.73 ± 4.98, mg/dl P = 0.004). Serum TG, cholesterol, and LDL levels were correlated with a BMI of <30 and a BMI of >30 in the OSA group. Linear regression analysis indicated that only age (β = 0.301, P = 0.000), BMI (β = 0.455, P = 0.000), serum HDL level (β = -0.297, P = 0.012), and serum LDL level (β = 0.429, P = 0.001) were the independent predictors of OSA.
CONCLUSION: OSA and obesity are potential risk factors for dyslipidemia. The diagnosis of hyperlipidemia was linked to OSA, and the association was more significant with OSA severity. Hyperlipidemia was well recognized in patients with OSA. LDL and HDL are the independent predictors of OSA.