METHODS: Hair cortisol concentration was measured in 307 autistic children and 282 non-autistic controls aged between 2 and 17 years recruited from four Australian states who participated in providing hair samples and demographic data to the Australian Autism Biobank. Independent samples t-test or one-way analysis of variance (ANOVA) were conducted to determine significant differences in the mean hair cortisol concentration (pg/mg) between potential covariates. Primary analysis included multivariable regression modelling of the collapsed sample to identify variables that were significantly associated with hair cortisol concentration after controlling for covariates. We also accounted for the potential interaction of multiple biological (e.g., age, sex, BMI) and psychosocial characteristics at the level of the child, the mother and the father, and the family unit.
RESULTS: Our findings suggest that the diagnosis of autism was not a significant predictor of chronic stress, as measured by hair cortisol concentration. However, findings of the multivariable regression analysis showed that key factors such as area of residence (Queensland vs Victorian state of residence) and decrease in child's age were significantly associated with higher hair cortisol concentration whereas lower family income was significantly associated with higher hair cortisol concentration.
CONCLUSION: To our knowledge, this is the first study to show that socioeconomic factors such as family annual income affect hair cortisol status in autistic children, indicating that the psychosocial environment may be a potential mediator for chronic stress in autistic children just as it has been demonstrated in non-autistic children.
OBJECTIVE: The objective of the study is to assess the psychometric properties of the Suffering Pictogram, a new suffering assessment instrument on a population of palliative care patients.
DESIGN AND SETTING: This is a validation study conducted at University of Malaya Medical Centre, Kuala Lumpur, Malaysia. Ninety one palliative care patients were recruited. Patients were interviewed with the Suffering Pictogram and FACIT-Sp.
RESULTS: The median completion time for the Suffering Pictogram was five minutes. The Suffering Pictogram showed good internal consistency, with a Cronbach's alpha of 0.836. The total scores of the Suffering Pictogram correlated strongly and negatively with FACIT-Sp total score (Spearman's Rho = -0.625, p
METHODS: A cross-sectional study design was conducted on 162 breast cancer survivors from various breast cancer support groups in Malaysia. Psychological distress status was assessed based on depression and anxiety scores by applying the Malay version of Patient Health Questionnaire (PHQ-9) and General Anxiety Disorder (GAD-7). Both instruments were self-administered along with a set of questionnaires comprising demographic, medical history, quality of life, and upper extremity function assessment. Outcomes from the PHQ-9 and GAD-7 were analyzed for severity level of psychological distress, and its association with relevant variables, arm morbidity symptoms, as well as the duration of cancer survivorship.
RESULTS: The univariate analysis showed that breast cancer survivors with arm morbidities after breast surgery had a higher score of depression (5.0 vs 4.0, p = 0.011) and anxiety (3.0 vs 1.0, p = 0.026) than those who did not. Besides that, receiving fewer post-rehabilitation treatments (p = 0.049) and having a family history of cancer (p = 0.022) were correlated with higher anxiety level. The level of depression and anxiety was inversely proportionate with quality of life and positively correlated with greater disability of the arm function (p
METHODS AND ANALYSIS: This cross-sectional study will recruit 459 postpartum mothers during their 4-week postnatal follow-up in five selected public health clinics in Perak from September 2019 to May 2020. Participants will be mothers aged 18 years and above at 4 weeks postdelivery who are able to understand the English and Malay languages. Non-Malaysians and mothers with known diagnosis of psychotic disorders will be excluded from the study. Sociodemographic information and possible risk factors of the participants will be captured via a set of validated questionnaires, postpartum depression (PPD) will be measured using the Edinburgh Postpartum Depression Scale questionnaire and general depressive symptoms, anxiety and stress will be measured using the 21-item Depression, Anxiety and Stress Scale. Data analysis will be conducted using SPSS V.25.0 (IBM). Besides descriptive statistics, multivariable regression analyses will be done to identify possible risk factors and their independent associations with depression (PPD and general depressive symptoms, combined and separately), anxiety and stress.
ETHICS AND DISSEMINATION: The study protocol was reviewed and approved by the Medical Research Ethics Committee, Ministry of Health Malaysia on 7 August 2019. Results of this study will be reported and shared with the local health stakeholders and disseminated through conference proceedings and journal publications.
REGISTRATION NUMBER: This study is registered in the Malaysian National Medical Research Register with the ID: NMRR-19-868-47647.