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  1. Ehab Helmy Abdel Malek Fahmy, Constance Liew Sat Lin, Alvin Oliver Payus, Rhanye Mac Guad, May Zaw Soe, Satishratnam Nagaratnam, et al.
    MyJurnal
    Dysmenorrhea is one of the leading causes of pelvic pain and menstrual disorder among women during childbearing age. The burden of dysmenorrhea is greater than any other gynaecological complaint. Some women have severe dysmenorrhea which renders them incapacitated for days each menstrual cycle requiring absence from study or duty, frequently requiring pain killer, restriction of daily performance, poor sleep, negative moods such as anxiety and depression. A 31-year-old female presented with severe dysmenorrhea and heavy menstrual bleeding (HMB) as a cause of multiple uterine fibroids, underwent surgeries to remove 100 fibroids from her uterus which has improved her quality of life, eliminating her dysmenorrhea and menstrual abnormalities
    Matched MeSH terms: Depression
  2. Yary T, Aazami S
    Lipids Health Dis, 2011;10:151.
    PMID: 21864357 DOI: 10.1186/1476-511X-10-151
    The incidence of depression is expected to increase over the next 20 years, and many people will have to deal with it. It has been reported that up to 40% of university students experience levels of depression. Several negative consequences are associated with depression symptoms, such as memory impairment, suicide, and substance abuse. Recently, researchers have been studying possible associations between depression and polyunsaturated fatty acids (PUFAs), which may modify depression symptoms. The aim of the present study was to find an association between PUFA levels and depression among Iranian postgraduate students in Malaysia.
    Matched MeSH terms: Depression/ethnology*; Depression/metabolism
  3. Ibrahim N, Sherina MS, Phang CK, Mukhtar F, Awang H, Ang JK, et al.
    Med J Malaysia, 2017 08;72(4):221-227.
    PMID: 28889133 MyJurnal
    No abstract available.
    Matched MeSH terms: Depression/etiology; Depression/epidemiology*
  4. Cheah, Y.K., Azahadi, M., Phang, S.N., Abd Manaf, N.H.
    JUMMEC, 2019;22(1):33-40.
    MyJurnal
    Background: Depression is a serious mental health illness worldwide. The purpose of the study was to
    investigate the relationships between depression and its risk factors of sociodemography, lifestyle, and health
    among the adults of the different ethnic groups in Malaysia.

    Method: A nationwide database with 10141 observations was used. Multivariable logistic regression analyses
    stratified by ethnicity were estimated.

    Results: Ethnicity and gender, age, education, marital status and self-rated health were correlated to the
    likelihood of having depression. Malay females and smokers (AOR: 2.083) were more likely to suffer from
    depression than Malay males (AOR: 0.305) and non-smokers. Higher-income Chinese displayed higher odds of
    having depression than lower-income Chinese (AOR: 1.009). Indians and others with secondary-level education
    displayed a lower likelihood of developing depression compared to those with primary-level education (AOR:
    0.587).

    Conclusion: This study could contribute significantly to the formulation and development of an effective
    policy directed towards reducing the prevalence of depression in the vulnerable. These were the adults, in
    the younger age group, with lower education, with self-rated poor health, being female, unmarried, Malay
    and Chinese, and Indians and others. A nationwide policy targeted towards the Malay females to reduce
    their depression, with attention to the Chinese with a high income, and to the Indians and others with poor
    educational background to improve their knowledge of mental health, would be worthy of consideration.
    Matched MeSH terms: Depression
  5. Chhoa KH, Zakaria H, Abd Rahman FN
    Pediatr Int, 2019 Mar;61(3):284-292.
    PMID: 30636372 DOI: 10.1111/ped.13789
    BACKGROUND: Alcohol consumption in the under-aged is one of the main concerns regarding Malaysian adolescents. There is no previous study on problematic alcohol use (PAU) in adolescents in Sarawak. The aim of this study was to determine the prevalence of PAU, its associated variables and its relationship with depression.

    METHODS: This was a cross-sectional study. A total of 327 secondary school students completed the Alcohol Use Disorder Identification Test and Children's Depression Inventory, and a sociodemographic questionnaire. Binary and multivariable logistic regression were used to examine the relationship between the different variables.

    RESULTS: A total of 42.2% of adolescents had PAU. Urban adolescents had a higher prevalence compared with rural adolescents (OR, 1.612; 95% CI: 1.036-2.508 P = 0.034). Female adolescents (56.8%) and Bumiputera Sarawak adolescents (76.8%) comprised a large proportion of the respondents with PAU. Cultural norm (78.3%) and curiosity (68.1%) were the two main reasons for PAU. Only family history of alcohol use (OR, 2.273; 95% CI: 1.013-5.107; P = 0.047), ever consumed alcohol (OR, 57.585; 95% CI: 21.885-151.525; P 

    Matched MeSH terms: Depression/etiology; Depression/epidemiology*
  6. Talwar P, Abd Rahman MF
    ASEAN Journal of Psychiatry, 2015;16(2):232-240.
    MyJurnal
    This study aims to assess the factor structure and reliability of the General Health Questionnaire (GHQ-12). Additionally, the study also attempts to evaluate the psychological well-being among university students using the GHQ-12 scale and thereby determine a relationship between select demographic variables and well-being. Methods: An exploratory cross-sectional survey was conducted among undergraduate students of a public university in Sarawak, Malaysia. A self administered questionnaire consisting of the demographic aspects and the GHQ 12 scale were utilized to assess the well-being of students, who were selected by convenience sampling technique. Results: Factorability of the GHQ-12 was examined and a three-factor model explaining 55% total variance was found to be the best fit. Internal consistency of the scale was 0.78, which is within the acceptable range. The results also suggest that considerable proportion (57%) of students had psychological distress. Participants who were susceptible to psychological distress in the present study were identified as students from low income families, with poor social support, in a relationship with partner as well as the student with Hindu’s religion and male students. By multiple regression analysis, variables that significantly predicted psychological distress were gender; income; area of residence; relationship with parents; negative life events; smoking; drinking and event with the overall model fit were 34%. Conclusion: Based on these findings, it may be foreseen that if prompt intervention is not provided to students in distress, they may be susceptible to depression, anxiety and stress. The findings have implications for teachers and counsellors, who are in a position to influence a wide range of students and provide support to improve the psychological well-being of students.
    Matched MeSH terms: Depression
  7. Wan Ismail WS, Sim ST, Tan KA, Bahar N, Ibrahim N, Mahadevan R, et al.
    Perspect Psychiatr Care, 2020 Oct;56(4):949-955.
    PMID: 32363648 DOI: 10.1111/ppc.12517
    PURPOSE: This cross-sectional study examined the cyber-psychological correlates of depression, anxiety, stress, and suicidality among public university students in Klang Valley, Malaysia.

    DESIGN AND METHODS: Participants were randomly selected using multi-stage sampling methods from three public universities in the study location. Participants completed measures of internet and smartphone addictions, depression, anxiety, stress, and suicidality, along with sociodemographic items.

    FINDINGS: At bivariate level, both internet and smartphone addictions were found to have significant positive correlations with depression, anxiety, stress, and suicidality. At multivariate level, only internet addiction emerged as a consistent significant predictor for depression, anxiety, stress, and suicidality.

    PRACTICE IMPLICATIONS: The present findings have implications for mental health professionals to routinely screen for psychological disturbance in young adults who have potential risks for internet addiction.

    Matched MeSH terms: Depression/epidemiology*
  8. Irfan M, Shahudin F, Hooper VJ, Akram W, Abdul Ghani RB
    Inquiry, 2021 11 23;58:469580211056217.
    PMID: 34802264 DOI: 10.1177/00469580211056217
    The objective of this article is to examine the impact of coronavirus disease 2019 (COVID-19) upon university students' anxiety level and to find the factors associated with the anxiety level in Malaysia. We collected data from 958 students from 16 different universities using an originally designed questionnaire. The Generalized Anxiety Disorder Scale 7-item (GAD-7) was used to estimate the anxiety. Then we applied the ordered logit model to calculate the odds ratios (OR) and factors associated with the anxiety level. We find that 12.3% of students were normal, whereas 30.5% were experiencing mild anxiety, 31.1% moderate anxiety, and 26.1% severe anxiety. Surprisingly, only 37.2% of students were aware of mental health support that was provided by their universities. However, age above 20 years (OR = 1.30), ethnicity Chinese (OR = 1.72), having any other disease (OR = 2.0), decreased family income (OR = 1.71), more time spent on watching COVID-19-related news (OR = 1.52), and infected relative or friends (OR = 1.62) were risk factors for anxiety among students. We conclude that the government of Malaysia should monitor the mental health of the universities' students more closely and universities should open online mental health support clinics to avoid the adverse impacts of anxiety.
    Matched MeSH terms: Depression
  9. Syed Masroor, A., Abdul Ghani, K.
    MyJurnal
    A Case Report on Gender Identity Disorder with Recurrent Depressive Disorder is presented. Individuals having this disorder often exhibit discomfort about their actual anatomic gender, and they may have wished to alter their bodies. Sex role-stereotypes adopted during childhood are the beliefs, characteristics and behaviors of individual cultures that are considered normal and appropriate for boys and girls to possess. These "norms" are influenced by one's family and friends, the mass-media, and their community. Since some cultures disapprove of cross-gender behavior, it often results in significant problems for affected individuals and those in close relationships with them. The importance of treatment is not only because of the high rate of mental-health problems, including Depression but with higher suicide rate among untreated transsexual people than in the general population. These problems are not usually related to the gender identity issues themselves, but the social and cultural responses to gender-deviated individuals. An example which classically illustrates Gender Identity Disorder is the case of a young man from Brunei Darussalam, who was seen and treated. This
    contribution will highlight the cultural and religious perspective of this Disorder.
    Matched MeSH terms: Depression
  10. Lee KW, Ching SM, Devaraj NK, Chong SC, Lim SY, Loh HC, et al.
    PMID: 32466479 DOI: 10.3390/ijerph17113767
    Previous literature has reported that patients with diabetes in pregnancy (DIP) are at risk of developing antepartum depression but the results have been inconsistent in cohort studies. We conducted a systematic review and performed a meta-analysis to quantify the association between DIP and risk of antepartum depression in cohort studies. Medline, Cinahl, and PubMed databases were searched for studies investigating DIP involving pregnant women with pre-existing diabetes and gestational diabetes mellitus and their risk of antepartum depression that were published in journals from inception to 27 December 2019. We derived the summary estimates using a random-effects model and reported the findings as pooled relative risks (RR) and confidence interval (CI). Publication bias was assessed using a funnel plot and was quantified by Egger and Begg's tests. Ten studies, involving 71,036 pregnant women were included in this meta-analysis. The pooled RR to develop antepartum depression was (RR = 1.430, 95% CI: 1.251-1.636) among women with gestational diabetes mellitus. Combining pregnant women with pre-existing diabetes mellitus and gestational diabetes mellitus, they had a significant increased risk of developing antepartum depression (RR = 1.431, 95% CI: 1.205-1.699) compared with those without it. In comparison, we found no association between pre-existing diabetes mellitus in pregnancy (RR = 1.300, 95% CI: 0.736-2.297) and the risk of developing antepartum depression. This study has a few limitations: first, different questionnaire and cut-off points were used in evaluation of depression across the studies. Second, there was a lack of data on history of depression prior to pregnancy, which lead to confounding bias that could not be solved by this meta-analysis. Third, data were dominated by studies in Western countries; this is due to the studies from Eastern countries failing to meet our inclusion criteria for statistical analysis. Women with gestational diabetes mellitus have an increased risk of developing antepartum depression compared to those without the disease. Therefore, more attention on the mental health status should be given on pregnant women diagnosed with pre-existing diabetes mellitus and gestational diabetes mellitus.
    Matched MeSH terms: Depression
  11. Chee Din MA, Mohd Fahmi Teng NI, Abdul Manaf Z
    Womens Health (Lond), 2023;19:17455057221147800.
    PMID: 36633122 DOI: 10.1177/17455057221147800
    BACKGROUND: Maternal depression may affect child feeding practices and growth.

    OBJECTIVE: The objective of this study is to determine the relationship between child feeding practices and current maternal depression with malnutrition among young children in a rural community.

    METHODS: This is a case-control study consisting of 52 Malay mothers of malnourished children (case) and 50 Malay mothers of well-nourished children (control) in Kuala Langat, Selangor, Malaysia. Structured questionnaires on child feeding practices and Beck Depression Inventory: Second Edition questionnaire were distributed to mothers.

    RESULTS: Depressed mothers stopped exclusive breastfeeding (2.8 ± 2.1 months) earlier than non-depressed mothers (3.7 ± 2.0 months; p = 0.045). Binary logistic regression analysis showed current maternal depression was a primary contributor associated with risk of malnutrition in children (adjusted odds ratio: 2.5, 95% confidence interval: 1.08-6.09), and followed by the number of children (adjusted odds ratio: 1.3, 95% confidence interval: 1.02-1.77).

    CONCLUSION: Mothers who experienced depression were twice as likely to have malnourished children. Each additional child in the family will increase the risk of malnutrition by 1.3 times. Maternal depression is associated with child feeding practices and malnutrition among young children in the studied population. Preliminary screening to identify depression symptoms should be conducted to all mothers as early as the first trimester to prevent the incidence of malnutrition in children.

    Matched MeSH terms: Depression/epidemiology
  12. Yusoff MS, Esa AR, Mat Pa MN, Mey SC, Aziz RA, Abdul Rahim AF
    Educ Health (Abingdon), 2013 Jan-Apr;26(1):39-47.
    PMID: 23823672 DOI: 10.4103/1357-6283.112800
    CONTEXT: There is considerable evidence that emotional intelligence, previous academic achievement (i.e. cumulative grade point average (GPA)) and personality are associated with success in various occupational settings. This study evaluated the relationships of these variables with psychological health of first year medical students during stressful periods.
    METHODS: A 1-year prospective study was done with students accepted into the School of Medical Sciences, Universiti Sains Malaysia. Information on emotional intelligence, GPA and personality traits were obtained prior to admission. The validated Universiti Sains Malaysia Emotional Quotient Inventory and Universiti Sains Malaysia Personality Inventory were used to measure emotional intelligence and personality traits, respectively. Stress, anxiety and depression were measured by the 21-item Depression Anxiety Stress Scale during the end-of-course (time 1) and final (time 2) examinations.
    RESULTS: At the less stressful period (time 1), stress level was associated with agreeableness and the final GPA, anxiety level was associated with emotional control and emotional conscientiousness and depression level was associated with the final GPA and extraversion. At the more stressful period (time 2), neuroticism associated with stress level, anxiety level was associated with neuroticism and emotional expression, and depression level was associated with neuroticism.
    CONCLUSIONS: This study found that neuroticism was the strongest associated factor of psychological health of medical students during their most stressful testing period. Various personality traits, emotional intelligence and previous academic performance were associated factors of psychological health during a less stressful period. These data suggest that early identification of medical students who are vulnerable to the stressful environment of medical schools might help them maintain psychological well-being during medical training.
    Matched MeSH terms: Depression/psychology
  13. Muhamad Saiful Bahri Yusoff, Mohd Jamil Yaacob, Nyi, Nyi Naing, Abdul Rahman Esa
    MyJurnal
    Many researchers have emphasized the importance of teaching stress management and self-care skills to medical students as they are vulnerable to develop psychological health problems. The researchers designed a 4-hour intervention based on the DEAL model to address these problems. This study aimed to determine outcomes of the DEAL-based intervention on medical students’ stress, anxiety and depression symptoms. Methods: A randomized controlled trial study was conducted on 171 medical students. Their stress, anxiety and depression symptoms were measured by the 21-item Depression Anxiety Stress Scale at five intervals; at 2 weeks before the intervention, and at 1 week, 8 weeks, 16 weeks and 32 weeks after the intervention. The mixed model ANCOVA was applied to determine the effect of the intervention on the participants’ psychological health at five intervals. Results: A total of 153 medical students (intervention = 73 and control = 80) completed this study. Results showed that the intervention group experienced significantly lower stress and depression symptoms than the control group. Although anxiety scores are consistently lower in the intervention group, no significant differences between groups were found. Conclusion: These results support the favourable outcomes of the intervention on psychological health of medical students. It is a promising intervention to be considered by medical schools as it consumes minimal amount of time, money, training and man power as well can be implemented easily.
    Matched MeSH terms: Depression
  14. Idris Z, Zakaria Z, Fitzrol DN, Ang SY, Yee SV, Ghani ARI, et al.
    Oper Neurosurg (Hagerstown), 2021 03 15;20(4):E281-E283.
    PMID: 33475706 DOI: 10.1093/ons/opaa473
    Matched MeSH terms: Depression
  15. Tajik E, Abd Latiff L, Adznam SN, Awang H, Yit Siew C, Abu Bakar AS
    J Sports Med Phys Fitness, 2017 Oct;57(10):1382-1387.
    PMID: 28004901 DOI: 10.23736/S0022-4707.16.06658-5
    BACKGROUND: Inadequate physical activity has adverse health consequences among adolescents. Mental health problem can be developed by lack of physical activity however it is controversial. The current study aimed to examine the association between level of physical activity with depression, anxiety and stress symptoms among adolescents.

    METHODS: A representative sample of 1747 adolescents (13-14 years) was randomly selected from 6 schools in a south part of Malaysia. Respondents were asked to fill consent form, and questionnaires including Depression Anxiety and Stress Scale-21 and Physical Activity Questionnaire for Adolescents.

    RESULTS: Majority of respondents (71.9%) was Malay and more than half of the adolescents had low physical activity. About 40% had depression symptoms, followed by anxiety symptoms (65.9%) and stress symptoms (38.5%). Level of physical activity was significantly associated with gender, anxiety and stress (P<0.001). There were no associations with race, religion and depression symptom.

    CONCLUSIONS: This study provides some evidence among school-going adolescents related to anxiety and stress symptoms and low physical activities. Further studies are needed to show the protection effects of higher physical activity for depression, anxiety and stress symptoms in adolescents.

    Matched MeSH terms: Depression/epidemiology*
  16. Abdollahi A, Abu Talib M
    Death Stud, 2015;39(10):579-83.
    PMID: 25924082 DOI: 10.1080/07481187.2015.1013163
    To examine the moderating role of spirituality between hopelessness, spirituality, and suicidal ideation, 202 Iranian depressed adolescent inpatients completed measures of patient health, suicidal ideation, hopelessness, and core spiritual experience. Structural equation modelling indicated that depressed inpatients high in hopelessness, but also high in spirituality, had less suicidal ideation than others. These findings reinforce the importance of spirituality as a protective factor against hopelessness and suicidal ideation.
    Matched MeSH terms: Depression/epidemiology; Depression/psychology
  17. Ay B, Yildirim O, Talo M, Baloglu UB, Aydin G, Puthankattil SD, et al.
    J Med Syst, 2019 May 28;43(7):205.
    PMID: 31139932 DOI: 10.1007/s10916-019-1345-y
    Depression affects large number of people across the world today and it is considered as the global problem. It is a mood disorder which can be detected using electroencephalogram (EEG) signals. The manual detection of depression by analyzing the EEG signals requires lot of experience, tedious and time consuming. Hence, a fully automated depression diagnosis system developed using EEG signals will help the clinicians. Therefore, we propose a deep hybrid model developed using convolutional neural network (CNN) and long-short term memory (LSTM) architectures to detect depression using EEG signals. In the deep model, temporal properties of the signals are learned with CNN layers and the sequence learning process is provided through the LSTM layers. In this work, we have used EEG signals obtained from left and right hemispheres of the brain. Our work has provided 99.12% and 97.66% classification accuracies for the right and left hemisphere EEG signals respectively. Hence, we can conclude that the developed CNN-LSTM model is accurate and fast in detecting the depression using EEG signals. It can be employed in psychiatry wards of the hospitals to detect the depression using EEG signals accurately and thus aid the psychiatrists.
    Matched MeSH terms: Depression/diagnosis*; Depression/physiopathology*
  18. Bhat S, Acharya UR, Hagiwara Y, Dadmehr N, Adeli H
    Comput Biol Med, 2018 11 01;102:234-241.
    PMID: 30253869 DOI: 10.1016/j.compbiomed.2018.09.008
    Parkinson's disease (PD) is a neurodegenerative disease of the central nervous system caused due to the loss of dopaminergic neurons. It is classified under movement disorder as patients with PD present with tremor, rigidity, postural changes, and a decrease in spontaneous movements. Comorbidities including anxiety, depression, fatigue, and sleep disorders are observed prior to the diagnosis of PD. Gene mutations, exposure to toxic substances, and aging are considered as the causative factors of PD even though its genesis is unknown. This paper reviews PD etiologies, progression, and in particular measurable indicators of PD such as neuroimaging and electrophysiology modalities. In addition to gene therapy, neuroprotective, pharmacological, and neural transplantation treatments, researchers are actively aiming at identifying biological markers of PD with the goal of early diagnosis. Neuroimaging modalities used together with advanced machine learning techniques offer a promising path for the early detection and intervention in PD patients.
    Matched MeSH terms: Depression
  19. Rafidah Aga Mohd Jaladin, Janet Ann Fernandez, Nur Ain Sumaiyah Abdullah, Adelina Asmawi
    MyJurnal
    Introduction: Single parent families, especially, those headed by single mothers are becoming increasingly common around the world especially in Malaysia. Single mothers generally suffer from poorer mental health, job discrimina- tion, abuse and neglect. Hence, they often experience high anxiety, depression, and stress. This calls for research to empower their mental wellbeing. The present study examined the effectiveness of creative group counselling in increasing self-compassion, and decreasing depression, anxiety and stress among single mothers. Methods: A qua- si experimental pre-test post-test design was employed in the study. Research participants consisted of 36 single mothers placed in two experimental and two control groups. The instruments used were Self-Compassion Scale and Depression Anxiety and Stress Scale. A self-compassion module was developed that comprised creative therapeutic activities which was administered to the participants in the experimental groups via a 7-session group counselling programme. Participants in the control groups, on the other hand, took part in guidance activities. Semi structured in- terviews were also performed to gather feedback on the impact of the creative intervention from three single mothers. Results: Findings revealed that creative group counselling successfully increased the level of self-compassion among single mothers. Additionally, the depression, stress and anxiety scores of single mothers were lower after joining the group counselling programme. Furthermore, three themes emerged from the present study which are i) be kind to oneself; ii) mistakes are part of life; and iii) self-transformation. Conclusion: It is evident that the implementation of creative group counselling improves the mental wellbeing of single mothers.
    Matched MeSH terms: Depression
  20. Tajik E, Latiff LA, Yit Siew C, Awang H, Adznam SNA
    Iran J Psychiatry, 2020 Jan;15(1):27-40.
    PMID: 32377212
    Objective: Most adolescents do not meet national recommendations for healthy lifestyle and reducing depressive symptom. A comprehensive educational program with its specified questionnaire is needed to improve healthy lifestyle to assess the lifestyle components. This study aimed to confirm the validity of a healthy lifestyle questionnaire to assess depressive symptoms among adolescents.
    Method: A descriptive predictive study using simple random sampling was performed in a secondary school in Kuala Lumpur, Malaysia, among 235 school-going adolescents (13-15 years old) with Malaysian nationality. The instrument consisted of a set of dual language (English and Malay) for both researcher-administered questionnaires (knowledge, attitude, eating behavior, and relaxation activities) and standard-validated questionnaires (Physical Activity questionnaire for Adolescents, Depression, Anxiety, and Stress Scale- 21, and Brief Copping). Data were analyzed using the kappa statistics (k) and the intraclass correlation coefficient test for reliability and Partial Least Squares (PLS) for validity.
    Results: The reliability of all variables was over the substantial level (ICC and/or k > 0.61). The model and construct variables were predictive of depressive symptoms by 49.4%. To analyze the validity of the questions, 11 questions were removed from the initial model for factorial loading less than 0.5. In convergent validity of theory of information-motivation-behavioral skills, AVE (average variance construct), the outer loading, was higher than 0.5.
    Conclusion: PLS confirmed the existence of sufficient correlations between different items of the construct. Thus, the weights of indicators appeared to be appropriate indicators for the model. The results proved that the information, motivation, and behavioral skills model was efficient for healthy lifestyle and can be a good base for further research.
    Matched MeSH terms: Depression*
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