METHODS: This was a descriptive, cross-sectional study of 526 women with GDM. Depressive, anxiety and stress symptoms are defined as the final score in mild to extremely severe risk in the severity rating scale. Data analysis was performed using SPSS v.21, while multiple logistic regression was used to identify predictors of depressive, anxiety and stress symptoms.
RESULTS: Prevalence of anxiety symptoms was highest (39.9%), followed by depressive symptoms (12.5%) and stress symptoms (10.6%) among women with GDM. According to multiple logistic regression analyses, younger age (OR = 0.955, 95% CI = 0.919-0.993), comorbidity with asthma (OR = 2.436, 95% CI = 1.219-4.870) and a family history of depression and anxiety (OR = 4.782, 95% CI = 1.281-17.853) had significant associations with antenatal anxiety symptoms. Being non-Muslim (OR = 2.937, 95% CI = 1.434-6.018) and having a family history of depression and anxiety (OR = 4.706, 95% CI = 1.362-16.254) had significant associations with antenatal depressive symptoms. Furthermore, being non-Muslim (OR = 2.451, 95% CI = 1.273-4.718) had a significant association with antenatal stress symptoms.
CONCLUSIONS: Within a population of women with GDM in Malaysia, those at higher risk of having depressive, anxiety and stress symptoms can be identified from several baseline clinical characteristics. Clinicians should be more alert so that the high-risk patients can be referred earlier for further intervention.
OBJECTIVE: This study aims to assess the mean prevalence and associated sociodemographic and clinical factors of anxiety symptoms in women newly diagnosed with breast cancer. It also aims to determine independent predictors of anxiety risk.
METHODS: An analysis of 162 newly diagnosed breast cancer patients at the oncology institute in Almaty was performed. Data were collected using a structured questionnaire on social, demographic, and clinical information, as well as the Beck Anxiety Inventory. In addition, multiple regression analysis was used to model the relationship between anxiety risk and independent predictors.
RESULTS: The average age of the patients was 54.41 years (SD=8.1; min.-max: 32-75). The majority of the patients were married (52%), employed or self-employed (51%), had children (91%), had a bachelor's or a graduate degree (50%), lived in an urban area (54%), did not drink (41%), did not smoke (67%), did not engage in physical activity (54%), and had social support (91%). A total of 48% of patients had symptoms of moderate anxiety, and 33% had symptoms of severe anxiety. Based on the multivariate analysis, factors associated with a lower risk of anxiety symptoms included higher household income (OR -2.21 (95 CI: -1.35, -3.07)) and having reliable social support (OR -2.93 (95% CI: -2.25, -3.61)).
CONCLUSION: The prevalence of anxiety symptoms is very high among newly diagnosed breast cancer patients. Anxiety is more likely to develop in patients from low-income households and those without reliable social support.
AIMS: To determine levels of work engagement and to identify psychological and work-related characteristics predicting work engagement in employees in Malaysia.
METHODS: We recruited 5235 employees from 47 public and private organizations in Malaysia who responded to an online health survey. We assessed work engagement with the 9-item Utrecht Work Engagement Scale (UWES-9) and psychological distress using the 6-item Kessler scale. We performed multiple linear regression to determine predictors of work engagement.
RESULTS: Employee mean age was 33.8 years (standard deviation [SD] ± 8.8). The mean work engagement score on the UWES-9 was 3.53 (SD ± 0.94). Eleven of 18 variables on multiple regression predicted work engagement, F(18, 4925) = 69.02, P < 0.001, R2 = 0.201. Factors that predicted higher work engagement were age, marital status, education level, job type, job permanency, longer sleep duration, lower psychological distress and no history of workplace bullying.
CONCLUSIONS: Key factors associated with poorer work engagement in Malaysian employees include inadequate sleep, psychological distress and a history of workplace bullying. These are modifiable factors that individuals and employers can target to improve work engagement, ideally tailored according to occupational type.