METHODS: A cross-sectional study was conducted among 526 pregnant women with GDM in two tertiary hospitals in Malaysia. Diabetes-related QOL was assessed using the Asian Diabetes Quality of Life Scale (AsianDQoL). Socio-demographic characteristics, glucose monitoring treatments for GDM, past obstetric history, concurrent medical problems and a family history of diseases were captured from patient records. A multiple logistic regression was used for analysis.
RESULTS: A total of 526 respondents with GDM entered the analysis. The median age of the respondents was 32 (interquartile range = 7) while 82.3% were Malay women. More than half of the respondents (69.5%) received an oral hypoglycaemic agent (OHA), and/or diet modification in controlling their GDM. The study reported that 23.2% of the respondents had poor-to-moderate QOL. Those with a family history of depression and/or anxiety (adjusted Odds ratio [AOR] 6.934, 95% confidence interval [CI] 2.280-21.081), and a family history of GDM (AOR 1.814, 95% CI 1.185-2.778) were at higher odds of suffering from poor-to-moderate QOL compared to those without a family history. Similarly, those who received insulin, with or without OHA, and/or are on diet modification (AOR 1.955, 95% CI 1.243-3.074) were at higher odds of suffering from poor-to-moderate QOL compared to those receiving OHA and/or diet modification.
CONCLUSION: Nearly one-quarter of Malaysian women with GDM have poor-to-moderate QOL. GDM women with a family history of depression and/or anxiety, family history of GDM, and those who received insulin, with or without OHA, and/or are on diet modification were associated with poor-to-moderate QOL.
TRIAL REGISTRATION: NMRR-17-2264-37814.
Methods: Blood samples were collected from 132 T2DM patients and 133 controls. Genotyping of OCT1 (rs628031), OCT2 (rs145450955), OCT3 (rs3088442 and rs2292334) was performed using (PCR-RFLP).
Results: No association was observed for genotypic and allelic distributions in all the gene polymorphisms of OCT genes (P > 0.05). However, a logistic regression analysis stratified by gender in a dominant model showed a significant difference for OCT3 among males with T2DM (P = 0.006). Significant association was also observed for OCT3 when stratified to subjects aged > 45 years old (P = 0.009).
Conclusion: Based on these findings, the association of OCT3 (rs2292334) could be considered as a possible genetic risk factor for the development of T2DM among Indian males alone.
METHODS: A web-based cross-sectional study was conducted among 1280 healthcare providers aged 18 years and older from 30 primary care clinics in Selangor, Malaysia. In this study, the Copenhagen Burnout Inventory was used to assess burnout. The results were analyzed using multiple logistic regression.
RESULTS: The prevalence of personal burnout was 41.7%, followed by work-related burnout (32.2%) and client-related burnout (14.5%). The determinants for personal burnout in this study were younger age, being a doctor, higher COVID-19 exposure risk, do not know where to seek help, inability to handle stress, poorer sleep quality score, higher total COVID-19 fear score, higher total stress score, and lower total BRS score. The determinants of work-related burnout were younger age, being a doctor, longer years of working, higher COVID-19 exposure risk, do not know where to seek help, lower altruistic score, poorer sleep quality score, higher total stress score, and lower total brief resilience score (BRS) score. The determinants of client-related burnout were doctor, single/divorced, more than one attachment site, and higher satisfaction toward the infection control, inability to handle stress, higher total depression score, and lower total BRS score.
CONCLUSION: Every fourth out of ten suffered from personal burnout, one-third from work-related burnout, and one-seventh from client-related burnout among healthcare providers during the COVID-19 pandemic. Healthcare systems must take care of healthcare workers' physical and emotional depletion, reducing the risk of burnout.
METHODS: This was a multicenter cross-sectional study conducted in 10 neurologic clinics located in Tehran, Iran, over 2 years. The sample size was calculated as 189, including 63 migraine and 126 non-migraine patients.
RESULTS: A significant difference was observed in the mean score of the global Pittsburgh Sleep Quality Index (PSQI) between migraine and non-migraine groups (p-value = 0.002), and in the individual components of the PSQI. However, there were no significant differences in the frequency of different types of chronotype (p-value = 0.125, T = 1.541) or OSA risk between the two groups (p-value = 0.568, T = -0.573). The binary logistic regression model showed that the relationship between global PSQI and migraine was significant (p = 0.002).
CONCLUSION: Sleep quality is a problem for elderly migraine sufferers. Meanwhile, certain factors such as chronotype and OSA have no significant relationship with migraine among community-dwelling seniors. Further studies are required to enhance our understanding of this observation.
DESIGN: This was a cross-sectional study.
SETTING: Tertiary hospitals in Malaysia.
PARTICIPANTS: Mothers with gestational diabetes mellitus (n = 418) who deliver their neonates at two major tertiary hospitals in Malaysia.
MEASUREMENTS: Neonatal outcomes, such as low birth weight, preterm birth, macrosomia, metabolic and electrolyte disorders, neonatal respiratory distress and congenital anomalies were determined.
FINDINGS: Prevalence of low birth weight in neonates born to mothers with gestational diabetes mellitus was 14.6%, followed by metabolic and electrolyte disorders 10.5%, preterm birth 9.1%, macrosomia 4.8%, neonatal respiratory distress 5.8% and congenital anomalies (2.4%). Among the adverse neonatal outcomes, neonatal respiratory distress was significantly associated with the presence of depression symptoms in mothers with gestational diabetes mellitus using univariate analysis (p = 0.010). After controlling for confounding factors, predictors for neonatal respiratory distress at delivery were the presence of depression symptoms in mothers with gestational diabetes mellitus (Adjusted OR = 3.87, 95% CI = 1.32-11.35), living without a husband (Adjusted OR = 9.74, 95% CI = 2.04-46.51), preterm delivery (Adjusted OR = 7.20, 95% CI = 2.23-23.30), caesarean section (Adjusted OR = 3.33, 95% CI = 1.09-10.15), being nulliparous and primiparous (Adjusted OR = 3.62, 95% CI = 1.17-11.17) and having family history of diabetes (Adjusted OR = 3.20, 95% CI = 1.11-9.21).
KEY CONCLUSIONS: The findings of this study demonstrate the positive association of neonatal respiratory distress with the presence of depression symptoms in mothers with gestational diabetes mellitus.
IMPLICATIONS FOR PRACTICE: It is therefore important to identify depression symptoms after a diagnosis of gestational diabetes mellitus in pregnant mothers is made to enable early referral and interventions.
MATERIALS AND METHODS: One hundred thirty-five nAMD patients and 135 controls were recruited to determine the association of the -460 C/T, the -2549 I/D, and the +405 G/C polymorphisms with the VEGF gene. Genotyping was conducted using the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) approach, and association analyses were conducted using chi-square analysis and logistic regression analysis.
RESULTS: A significant association was observed between nAMD and the VEGF +405 G/C genotypes (p = 0.002) and alleles (odds ratio = 1.36, 95% confidence interval = 1.12-1.62, p = < 0.001) compared with the controls. This association was confirmed by logistic regression analyses, using two different genetic models (additive and dominant) resulting in p-values of p = 0.001 and p
METHOD: A cross-sectional study was conducted using the systematic sampling method in four government primary healthcare clinics in Sarawak. A self-administered questionnaire was used to obtain socio-demographic data and evaluate non-adherence. Blood pressure was measured, and relevant clinical variables were collected from medical records. Multivariate logistic regression was used to determine the determinants of medication non-adherence.
RESULTS: A total of 488 patients with uncontrolled hypertension were enrolled in this study. The prevalence of medication non-adherence was 39.3%. There were four predictors of medication non-adherence among the patients with uncontrolled hypertension: tertiary educational level (odds ratio [OR]=4.21, 95% confidence interval [CI] = 1.67-10.61, P=0.010), complementary alternative medication (0R=2.03, 95% CI=1.12-3.69, P=0.020), non-usage of calcium channel blockers (0R=1.57, 95% CI=1.02-2.41, P=0.039) and 1 mmHg increase in the systolic blood pressure (0R=1.03, 95% CI=1.00-1.05, P=0.006).
CONCLUSION: Because of the high prevalence of medication non-adherence among patients with uncontrolled hypertension, primary care physicians should be more vigilant in identifying those at risk of being non-adherent. Early intervention should be conducted to address non-adherence for blood pressure control.
RESULTS: Both single nucleotide polymorphisms (SNPs) recorded a significant association between nAMD and controls with HTRA1 rs11200638 at P = 0.018 (OR = 1.52, 95% CI = 1.07-215) and ARMS2 rs10490924 at P
METHODS: We systematically searched PubMed, Ovid, Scopus and ScienceDirect for observational studies in Asia from inception to August 2017. We selected cross sectional studies reporting the prevalence and risk factors for GDM. A random effects model was used to estimate the pooled prevalence of GDM and odds ratio (OR) with 95% confidence interval (CI).
RESULTS: Eighty-four studies with STROBE score ≥ 14 were included in our analysis. The pooled prevalence of GDM in Asia was 11.5% (95% CI 10.9-12.1). There was considerable heterogeneity (I2 > 95%) in the prevalence of GDM in Asia, which is likely due to differences in diagnostic criteria, screening methods and study setting. Meta-analysis demonstrated that the risk factors of GDM include history of previous GDM (OR 8.42, 95% CI 5.35-13.23); macrosomia (OR 4.41, 95% CI 3.09-6.31); and congenital anomalies (OR 4.25, 95% CI 1.52-11.88). Other risk factors include a BMI ≥25 kg/m2 (OR 3.27, 95% CI 2.81-3.80); pregnancy-induced hypertension (OR 3.20, 95% CI 2.19-4.68); family history of diabetes (OR 2.77, 2.22-3.47); history of stillbirth (OR 2.39, 95% CI 1.68-3.40); polycystic ovary syndrome (OR 2.33, 95% CI1.72-3.17); history of abortion (OR 2.25, 95% CI 1.54-3.29); age ≥ 25 (OR 2.17, 95% CI 1.96-2.41); multiparity ≥2 (OR 1.37, 95% CI 1.24-1.52); and history of preterm delivery (OR 1.93, 95% CI 1.21-3.07).
CONCLUSION: We found a high prevalence of GDM among the Asian population. Asian women with common risk factors especially among those with history of previous GDM, congenital anomalies or macrosomia should receive additional attention from physician as high-risk cases for GDM in pregnancy.
TRIAL REGISTRATION: PROSPERO (2017: CRD42017070104 ).
METHODS: A cross-sectional study was carried out using a systematic random sampling method in hypertensive patients who attended two government primary care clinics in Sarawak. The STOP-Bang questionnaire was used to screen for OSA, and social-demographic data was captured with a questionnaire. Multiple logistic regressions were used to examine the determinants of the OSA.
RESULTS: A total of 410 patients were enrolled in this study. The mean age of study population patients was 56.4 years, with more than half being female. The mean blood pressure was 136/82. The prevalence of probable OSA among patients with hypertension was 54.4%. According to multiple logistic regression analyses, smoking (odds ratio [OR] 14.37, 95% confidence interval [CI] 3.335-61.947), retirees (OR 3.20, 95% CI 1.675-6.113), and being Chinese (OR 2.21, 95% CI 1.262-3.863) had a significant positive association with probable OSA.
CONCLUSIONS: Because of the high prevalence of probable OSA among patients with hypertension, primary care physicians should be more vigilant in identifying hypertensive patients with OSA risk. Early detection and intervention would reduce disease complications and healthcare costs.
METHODS: Subjects age 18 to 60 years will undergo a baseline evaluation to establish the diagnosis of migraine based on the International Classification of Headache Disorder 3rd Edition (ICHD-3). Those who fulfil the ICHD-3 criteria for episodic migraine and compliant to the headache diary during a month run-in period will be enrolled. A total of 76 subjects will be randomised to receive either transcranial magnetic stimulation or sham stimulation for 5 sessions within 2 weeks duration. Follow-up sessions will be conducted monthly for three consecutive months. Prior to treatment, subjects will be required to fill up questionnaires and undergo few procedures such as electroencephalography, transcranial Doppler ultrasound and biochemical analysis for serum serotonin, serum calcitonin gene-related peptide and serum beta-endorphin. These procedures will be repeated at month 3 after receiving the last treatment. The primary outcome measure of this study is the difference in mean monthly migraine days at baseline and at months 1, 2 and 3 after treatment sessions.
DISCUSSION: Following evidence from previous studies showing restoration of dorsolateral prefrontal cortex (DLPFC) activation to almost normal level, the rTMS intervention will target left DLPFC in this study. An intermediate duration of treatment sessions is selected for this study. It is set to five treatment sessions given within 2 weeks duration.
TRIAL REGISTRATION: ClinicalTrials.gov NCT03556722 . Registered on 14 June 2018.
METHODS: This is a systematic review protocol describing essential reporting items based on the PRISMA for systematic review protocols (PRISMA-P) (Registration number: CRD42020220636). We aim to review the effectiveness, tolerability, and safety of hf-rTMS at DLPFC in randomised controlled trials (RCTs) as migraine prophylactic treatment. We will search Scopus, Cumulative Index to Nursing and Allied Health Literature Plus, PubMed, Cochrane Central Register of Controlled Trials and Biomed Central for relevant articles from randomised controlled clinical trials that used hf-rTMS applied at DLPFC for the treatment of migraine. The risk of bias will be assessed using the version 2 "Risk of bias" tool from Cochrane Handbook for Systematic Reviews of Interventions Version 6.1. We will investigate the evidence on efficacy, tolerability and safety and we will compare the outcomes between the hf-rTMS intervention and sham groups.
DISCUSSION: This systematic review will further determine the efficacy, safety, and tolerability of hf-rTMS applied at DLPFC for migraine prophylaxis. It will provide additional data for health practitioners and policymakers about the usefulness of hf-rTMS for migraine preventive treatment.