Displaying publications 381 - 400 of 9184 in total

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  1. Hock CB
    Med J Malaya, 1971 Sep;26(1):34-41.
    PMID: 4258573
    Matched MeSH terms: Depression/epidemiology*; Schizophrenia/epidemiology
  2. Bisseru B
    Med J Malaya, 1968 Sep;23(1):35-40.
    PMID: 4237554
    Matched MeSH terms: Ascariasis/epidemiology*; Zoonoses/epidemiology*
  3. Loncin H
    Med J Malaya, 1965 Jun;19(4):321-3.
    PMID: 4220862
    Matched MeSH terms: Diabetes Mellitus/epidemiology*; Heart Diseases/epidemiology*
  4. Kok A, Robinson MJ
    Lancet, 1976 Sep 18;2(7986):633.
    PMID: 61371
    Matched MeSH terms: Asthma/epidemiology*; Parasitic Diseases/epidemiology*
  5. Lim BL, Abu Bakar bin Ibrahim
    Med J Malaya, 1970 Dec;25(2):128-41.
    PMID: 4251134
    Matched MeSH terms: Bites and Stings/epidemiology*; Snake Bites/epidemiology
  6. Thiruchelvam L, Dass SC, Zaki R, Yahya A, Asirvadam VS
    Geospat Health, 2018 05 07;13(1):613.
    PMID: 29772882 DOI: 10.4081/gh.2018.613
    This study investigated the potential relationship between dengue cases and air quality - as measured by the Air Pollution Index (API) for five zones in the state of Selangor, Malaysia. Dengue case patterns can be learned using prediction models based on feedback (lagged terms). However, the question whether air quality affects dengue cases is still not thoroughly investigated based on such feedback models. This work developed dengue prediction models using the autoregressive integrated moving average (ARIMA) and ARIMA with an exogeneous variable (ARIMAX) time series methodologies with API as the exogeneous variable. The Box Jenkins approach based on maximum likelihood was used for analysis as it gives effective model estimates and prediction. Three stages of model comparison were carried out for each zone: first with ARIMA models without API, then ARIMAX models with API data from the API station for that zone and finally, ARIMAX models with API data from the zone and spatially neighbouring zones. Bayesian Information Criterion (BIC) gives goodness-of-fit versus parsimony comparisons between all elicited models. Our study found that ARIMA models, with the lowest BIC value, outperformed the rest in all five zones. The BIC values for the zone of Kuala Selangor were -800.66, -796.22, and -790.5229, respectively, for ARIMA only, ARIMAX with single API component and ARIMAX with API components from its zone and spatially neighbouring zones. Therefore, we concluded that API levels, either temporally for each zone or spatio- temporally based on neighbouring zones, do not have a significant effect on dengue cases.
    Matched MeSH terms: Dengue/epidemiology*; Malaysia/epidemiology
  7. Arheiam AA, Elareibi I, Elatrash A, Baker SR
    Dent Traumatol, 2020 Apr;36(2):185-191.
    PMID: 31743570 DOI: 10.1111/edt.12529
    BACKGROUND/AIMS: No previous epidemiological study has investigated the prevalence and associated factors of traumatic dental injuries (TDIs) among Libyan children. Such information is required for the planning and evaluation of health services. The aim of this study was to assess the prevalence of TDIs and associated factors among 12-year-old schoolchildren in Benghazi, Libya.

    METHODS: Data for this study were collected as part of a comprehensive, cross-sectional survey investigating oral health status and treatment needs of 12-year-old schoolchildren in Benghazi, Libya, between December 2016 and May 2017. Sociodemographic information was collected through a dental health questionnaire. The children were assessed for oral health status, including TDIs according to modified World Health Organization (WHO) classification criteria, in their classroom by trained and calibrated examiners. Anthropometric measures, lip competence and overjet were all assessed and reported. History of TDIs was sought among those affected. Logistic regression models were applied for TDIs as an outcome variable. The statistical significance for all tests was ≤0.05.

    RESULTS: Data from 1134 participants were included in this study. TDIs were observed in 10.3% of the sample. Most of these TDIs were enamel fractures only (55.6%) and enamel and dentine fractures (35.9%). "Falling" was the most common cause of TDIs, accounting for 51% of cases. While increased overjet appeared to be associated with higher risk of TDIs (OR: 1.92; 95% CI: 1.29-2.86), being female (OR: 0.34; 95% CI: 0.22-0.53) and overweight (OR: 0.33; 95% CI: 0.13-0.83) were also associated with lower risk of having TDIs.

    CONCLUSIONS: This survey showed that a considerable proportion (10.3%) of 12-year-old Libyan children had TDIs, with relatively high unmet treatment needs. More efforts are required to develop effective prevention programmes and to enhance the provision of dental treatment of TDIs for Libyan children.

    Matched MeSH terms: Libya/epidemiology; Tooth Injuries/epidemiology*
  8. Ullah S, Daud H, Dass SC, Fanaee-T H, Kausarian H, Khalil A
    PMID: 32098247 DOI: 10.3390/ijerph17041413
    The number of tuberculosis (TB) cases in Pakistan ranks fifth in the world. The National TB Control Program (NTP) has recently reported more than 462,920 TB patients in Khyber Pakhtunkhwa province, Pakistan from 2002 to 2017. This study aims to identify spatial and space-time clusters of TB cases in Khyber Pakhtunkhwa province Pakistan during 2015-2019 to design effective interventions. The spatial and space-time cluster analyses were conducted at the district-level based on the reported TB cases from January 2015 to April 2019 using space-time scan statistics (SaTScan). The most likely spatial and space-time clusters were detected in the northern rural part of the province. Additionally, two districts in the west were detected as the secondary space-time clusters. The most likely space-time cluster shows a tendency of spread toward the neighboring districts in the central part, and the most likely spatial cluster shows a tendency of spread toward the neighboring districts in the south. Most of the space-time clusters were detected at the start of the study period 2015-2016. The potential TB clusters in the remote rural part might be associated to the dry-cool climate and lack of access to the healthcare centers in the remote areas.
    Matched MeSH terms: Pakistan/epidemiology; Tuberculosis/epidemiology*
  9. Jayaraj VJ, Avoi R, Gopalakrishnan N, Raja DB, Umasa Y
    Acta Trop, 2019 Sep;197:105055.
    PMID: 31185224 DOI: 10.1016/j.actatropica.2019.105055
    Dengue is fast becoming the most urgent health issue in Malaysia, recording close to a 10-fold increase in cases over the last decade. With much uncertainty hovering over the recently introduced tetravalent vaccine and no effective antiviral drugs, vector control remains the most important strategy in combating dengue. This study analyses the relationship between weather predictors including its lagged terms, and dengue incidence in the District of Tawau over a period of 12 years, from 2006 to 2017. A forecasting model purposed to predict future outbreaks in Tawau was then developed using this data. Monthly dengue incidence data, mean temperature, maximum temperature, minimum temperature, mean relative humidity and mean rainfall over a period of 12 years from 2006 to 2017 in Tawau were retrieved from Tawau District Health Office and the Malaysian Meteorological Department. Cross-correlation analysis between weather predictors, lagged terms of weather predictors and dengue incidences established statistically significant cross-correlation between lagged periods of weather predictors-namely maximum temperature, mean relative humidity and mean rainfall with dengue incidence at time lags of 4-6 months. These variables were then employed into 3 different methods: a multivariate Poisson regression model, a Seasonal Autoregressive Integrated Moving Average (SARIMA) model and a SARIMA with external regressors for selection. Three models were selected but the SARIMA with external regressors model utilising maximum temperature at a lag of 6 months (p-value:0.001), minimum temperature at a lag of 4 months (p-value:0.01), mean relative humidity at a lag of 2 months (p-value:0.001), and mean rainfall at a lag of 6 months (p-value:0.001) produced an AIC of 841.94, and a log-likelihood score of -413.97 establishing it as the best fitting model of the methodologies utilised. In validating the models, they were utilised to develop forecasts with the model selected with the highest accuracy of predictions being the SARIMA model predicting 1 month in advance (MAE: 7.032, MSE: 83.977). This study establishes the effect of weather on the intensity and magnitude of dengue incidence as has been previously studied. A prediction model remains a novel method of evidence-based forecasting in Tawau, Sabah. The model developed in this study, demonstrated an ability to forecast potential dengue outbreaks 1 to 4 months in advance. These findings are not dissimilar to what has been previously studied in many different countries- with temperature and humidity consistently being established as powerful predictors of dengue incidence magnitude. When used in prognostication, it can enhance- decision making and allow judicious use of resources in public health setting. Nevertheless, the model remains a work in progress- requiring larger and more diverse data.
    Matched MeSH terms: Dengue/epidemiology*; Malaysia/epidemiology
  10. Segun OE, Shohaimi S, Nallapan M, Lamidi-Sarumoh AA, Salari N
    PMID: 32429373 DOI: 10.3390/ijerph17103474
    Background: despite the increase in malaria control and elimination efforts, weather patterns and ecological factors continue to serve as important drivers of malaria transmission dynamics. This study examined the statistical relationship between weather variables and malaria incidence in Abuja, Nigeria. Methodology/Principal Findings: monthly data on malaria incidence and weather variables were collected in Abuja from the year 2000 to 2013. The analysis of count outcomes was based on generalized linear models, while Pearson correlation analysis was undertaken at the bivariate level. The results showed more malaria incidence in the months with the highest rainfall recorded (June-August). Based on the negative binomial model, every unit increase in humidity corresponds to about 1.010 (95% confidence interval (CI), 1.005-1.015) times increase in malaria cases while the odds of having malaria decreases by 5.8% for every extra unit increase in temperature: 0.942 (95% CI, 0.928-0.956). At lag 1 month, there was a significant positive effect of rainfall on malaria incidence while at lag 4, temperature and humidity had significant influences. Conclusions: malaria remains a widespread infectious disease among the local subjects in the study area. Relative humidity was identified as one of the factors that influence a malaria epidemic at lag 0 while the biggest significant influence of temperature was observed at lag 4. Therefore, emphasis should be given to vector control activities and to create public health awareness on the proper usage of intervention measures such as indoor residual sprays to reduce the epidemic especially during peak periods with suitable weather conditions.
    Matched MeSH terms: Malaria/epidemiology*; Nigeria/epidemiology
  11. Abir T, Osuagwu UL, Kalimullah NA, Yazdani DMN, Husain T, Basak P, et al.
    Health Secur, 2021 08 03;19(5):468-478.
    PMID: 34348050 DOI: 10.1089/hs.2020.0205
    The COVID-19 pandemic has generated fear, panic, distress, anxiety, and depression among many people in Bangladesh. In this cross-sectional study, we examined factors associated with different levels of psychological impact as a result of COVID-19 in Bangladesh. From April 1 to 30, 2020, we used a self-administered online questionnaire to collect data from 10,609 respondents. Using the Impact of Event Scale-Revised to assess the psychological impact of the COVID-19 pandemic on respondents, we categorized the levels of impact as normal, mild, moderate, or severe. Ordinal logistic regression was used to examine the associated factors. The prevalence of mild, moderate, and severe psychological impact was 10.2%, 4.8%, and 45.5%, respectively. Multivariate analysis revealed that the odds of reporting normal vs mild, moderate, or severe psychological impact were 5.9 times higher for people living in the Chittagong Division, 1.7 times higher for women with lower education levels, 3.0 times higher among those who were divorced or separated, 1.8 times higher for those working full time, and 2.4 times higher for those living in shared apartments. The odds of reporting a psychological impact were also higher among people who did not enforce protective measures inside the home, those in self-quarantine, those who did not wear face masks, and those who did not comply with World Health Organization precautionary measures. Increased psychological health risks due to COVID-19 were significantly higher among people who experienced chills, headache, cough, breathing difficulties, dizziness, and sore throat before data collection. Our results showed that 1 in 2 respondents experienced a significant psychological impact as a result of the COVID-19 pandemic. Public health researchers should consider these factors when targeting interventions that would have a protective effect on the individual's psychological health during a pandemic or future disease outbreak.
    Matched MeSH terms: Bangladesh/epidemiology; Depression/epidemiology
  12. Ong SG, Ding HJ
    Med J Malaysia, 2021 07;76(4):466-473.
    PMID: 34305106
    INTRODUCTION: Pregnancy in women with systemic lupus erythematosus (SLE) is known to be associated with adverse pregnancy outcomes (APO). We aimed to determine the frequency of APO, the associated variables and predictors.

    MATERIALS AND METHODS: This retrospective study included all pregnancies seen at the SLE Clinic, Kuala Lumpur Hospital from January 2008 to May 2020. Maternal outcomes included SLE flare during pregnancy, preeclampsia and eclampsia. Foetal outcomes included foetal loss, preterm birth and small-for-gestational age (SGA) neonates. Clinical and laboratory variables were examined. Variables from univariate analysis were entered into logistic regression model. Odds ratio and 95% confidence interval were reported.

    RESULTS: Of the 131 pregnancies, 106 (80.9%) were live births. Twenty-six (24.5%) babies were born preterm and 35 (33%) neonates were SGA. Twenty-four (18.3%) women had disease flare during pregnancy, with the majority (22/24) being mild to moderate flares. Four women experienced preeclampsia while none had eclampsia. Predictors of adverse maternal outcomes included high SLEDAI-2K score, proteinuria and hypocomplementemia within 6 months before conception and during pregnancy; history of lupus nephritis (LN), pre-existing hypertension, antiphospholipid syndrome (APS), antiphospholipid antibodies, anti-Ro antibody and anti-RNP antibody. Predictors of adverse foetal outcomes comprised APS, preeclampsia, anti-Sm antibody, history of neuropsychiatric systemic lupus erythematosus (NPSLE) and azathioprine use.

    CONCLUSION: Pregnancy in SLE women is best deferred until disease activity is in remission for at least 6 months before conception. A history of LN is associated with a 3-fold risk of renal flare during pregnancy. Haematological abnormalities are rare in disease flare during pregnancy.

    Matched MeSH terms: Malaysia/epidemiology; Pregnancy Outcome/epidemiology
  13. Tan MM, Su TT, Ting RS, Allotey P, Reidpath D
    Aging Ment Health, 2021 11;25(11):2116-2123.
    PMID: 32741203 DOI: 10.1080/13607863.2020.1799939
    OBJECTIVES: Religion and spirituality gain importance as a person ages. Research has shown that religion has a salutary effect on mental health, and it is associated with health differently across ethnic groups. The current study examined ethnic differences in the association between religion and mental health among older adults in a predominantly Muslim population and multicultural setting.

    METHODS: Data of 7068 participants (4418 Malays, 2080 Chinese and 570 Indians) aged ≥55 years that were collected as part of the community health survey conducted in 2013 in the South East Asia Community Observatory (SEACO) were analyzed using bivariate and multiple regressions. Analyses were stratified by ethnicity.

    RESULTS: The importance of having an enriched religious/spiritual life was associated with higher scores of depression, anxiety and stress among Chinese and higher score of depression among Malays, while belief in a higher power was associated with better mental health among Malays, Chinese and Indians.

    CONCLUSION: The current study showed that there were ethnic variations in the associations between religion and mental health, and the associations depended on the religious variable included in the analysis. The findings of this study showed that religion could be another potential channel to improve mental health among older adults by accommodating and understanding their religious beliefs.

    Matched MeSH terms: Anxiety/epidemiology; Malaysia/epidemiology
  14. Looi LM, Zubaidah Z, Cheah PL, Cheong SK, Gudum HR, Iekhsan O, et al.
    Malays J Pathol, 2004 Jun;26(1):13-27.
    PMID: 16190103
    Cancer is a major morbidity and mortality concern in Malaysia. Based on National Cancer Registry data, the Malaysian population is estimated to bear a cancer burden of about 40,000 new cases per year, and a cumulative lifetime risk of about 1:4. Cancer research in Malaysia has to consider needs relevant to our population, and resources constraints. Hence, funding bodies prioritise cancers of high prevalence, unique to our community and posing specific clinical problems. Cancer diagnosis is crucial to cancer management. While cancer diagnosis research largely aims at improvements in diagnostic information towards more appropriate therapy, it also impacts upon policy development and other areas of cancer management. The scope of cancer diagnosis upon which this paper is based, and their possible impact on other R&D areas, has been broadly categorized into: (1) identification of aetiological agents and their linkages to the development of precancer and cancer (impact on policy development, cancer prevention and treatment), (2) cancer biology and pathogenesis (impact on cancer prevention, treatment strategies and product development), (3) improvements in accuracy, sensitivity and specificity in cancer detection, monitoring and classification (impact on technology development) and (4) prognostic and predictive parameters (impact on treatment strategies). This paper is based on data collected by the Working Group on Cancer Diagnosis Research for the First National Conference on Cancer Research Coordination in April 2004. Data was collated from the databases of Institutions/Universities where the authors are employed, the Ministry of Science, Technology and Innovation (MOSTI) and targeted survey feedback from key cancer researchers. Under the 7th Malaysia Plan, 76 cancer projects were funded through the Intensified Research in Priority Areas (IRPA) scheme of MOSTI, amounting to almost RM15 million of grant money. 47(61.8%) of these projects were substantially in cancer diagnosis, accounting for 65.6% (RM 9.7 million) of cancer project funds. The 8th Malaysia Plan saw a change in research strategy. The IRPA agency fielded several top-down projects which encouraged a multicentre and multidisciplinary approach. This resulted in larger funding per project i.e. RM32 million for 49 projects. There was also a surge of interest in drug development and natural products. Because of this shift in direction, cancer diagnosis projects constituted only 51% of IRPA-funded cancer projects. Nonetheless funding for cancer diagnosis research has exceeded that of the 7th Malaysia Plan, being RM12.5 million by March 2004. The majority of such research is carried out at the Universities, engaging a large number of young scientists and postgraduate students (51 MSc and 21 PhD). A lot of research findings presented at scientific meetings have not yet been published and there is a glaring shortage of patents and commercialization of research findings (such as creation of test kits). Because diagnosis is very much a part of clinical practice, many researchers felt satisfied and confident that their work will be translated into practice and will significantly improve diagnostic services in Malaysia. National guidelines and consensus development on at least three malignancies i.e. breast cancer, oral cancer and lymphoma, have substantial basis in local R&D work. Problems encountered in research included (1) insufficient funding to realize research objectives, (2) lack of local expertise (most research assistants are inexperienced BSc graduates with no or minimal research experience), (3) inadequate technical support from vendors during equipment failure, (4) inexperienced Institutional development units to assist in product development, (5) lack of venture capital for commercialization of findings, and (6) inadequate incentives to undertake research. Researchers pointed out that plans to promote research should include the establishment of (1) regional and national cancer tissue banks, (2) a National Cancer Research Institute, (3) a dedicated cancer research fund, (4) a registry of cancer researchers, (5) national research coordinators, (6) improved coverage by the National Cancer Registry, (7) more international collaboration, (8) a better career structure for researchers, (9) improved Institutional support for product realization, and (10) better recognition for cancer researchers.
    Matched MeSH terms: Malaysia/epidemiology; Neoplasms/epidemiology
  15. Sugiarto SR, Baird JK, Singh B, Elyazar I, Davis TME
    Malar J, 2022 Nov 14;21(1):327.
    PMID: 36372877 DOI: 10.1186/s12936-022-04366-5
    Kalimantan is a part of Indonesia, which occupies the southern three-quarters of the island of Borneo, sharing a border with the Malaysian states of Sabah and Sarawak. Although most areas of Kalimantan have low and stable transmission of Plasmodium falciparum and Plasmodium vivax, there are relatively high case numbers in the province of East Kalimantan. Two aspects of malaria endemicity in Kalimantan differentiate it from the rest of Indonesia, namely recent deforestation and potential exposure to the zoonotic malaria caused by Plasmodium knowlesi that occurs in relatively large numbers in adjacent Malaysian Borneo. In the present review, the history of malaria and its current epidemiology in Kalimantan are examined, including control and eradication efforts over the past two centuries, mosquito vector prevalence, anti-malarial use and parasite resistance, and the available data from case reports of knowlesi malaria and the presence of conditions which would support transmission of this zoonotic infection.
    Matched MeSH terms: Indonesia/epidemiology; Malaysia/epidemiology
  16. Haider S, Hassali MA, Iqbal Q, Anwer M, Saleem F
    Lancet Infect Dis, 2016 12;16(12):1333.
    PMID: 27998597 DOI: 10.1016/S1473-3099(16)30452-2
    Matched MeSH terms: Hemorrhagic Fever, Crimean/epidemiology*; Pakistan/epidemiology
  17. Ong JY, Yee A, Amer Nordin AS, Danaee M, Azwa RI
    Int J STD AIDS, 2022 Sep;33(10):880-889.
    PMID: 35801969 DOI: 10.1177/09564624221106528
    BACKGROUND: This study estimates prevalence of depression and anxiety among adults living with Human Immunodeficiency Virus (HIV) in University Malaya Medical Centre (UMMC) and determines its associated factors.

    METHODS: This cross-sectional study was conducted between August 2020 and January 2021, in the Infectious Disease clinic and ward. One hundred ninety-one patients were recruited via convenience sampling. Patients' sociodemographic were obtained, followed by Depression, Anxiety, Stress Scale -21 (DASS-21), Multidimensional Scale of Perceived Social Support (MSPSS), and M.I.N.I. international neuropsychiatric interview (M.I.N.I.) The cut off DASS-21 point for depression is ≥5, for anxiety, ≥ 4. Mann-Whitney U and Chi square test were used to analyse the association between variables, and logistic regression to find predictability.

    RESULTS: Of the 191 participants, 89.5% outpatient, mean age 40 years (SD 0.742), 91.1% male, 65.4% single, 71.2% working, 46.1% Malaysian Chinese, 59.8% non- heterosexual, mean 6 years of being HIV positive; mean CD4 count 449/μL; mean viral load 116,690 (median = 20). 85.9% were taking antiretroviral therapy. The prevalence of depression was 35.1% (n = 67); anxiety was 42.9% (n = 82). Regression analysis revealed anxiety and stress increased odds of depression by 3.8 times (p = .001) and 12 times (p < .001) respectively. Those 40 years old and younger had 2.3 times odds of anxiety (p = .048). Increased social support from friends increased odds of anxiety by 1.7 times (p = .018). Depression and stress increased odds of anxiety by 4.4 times (p = .001) and 3.7 times (p = .008) respectively.

    CONCLUSIONS: Depression and anxiety among people with HIV is often under-recognised. Early identification and treatment of the mental illness is warranted. Screening with DASS-21 is useful to detect depression in patients with HIV.

    Matched MeSH terms: Anxiety/epidemiology; Malaysia/epidemiology
  18. Balakrishnan V, Ng KS, Kaur W, Govaichelvan K, Lee ZL
    J Affect Disord, 2022 Feb 01;298(Pt B):47-56.
    PMID: 34801606 DOI: 10.1016/j.jad.2021.11.048
    BACKGROUND: This systematic review and meta-analysis aim to synthesize the extant literature reporting the effects of COVID-19 pandemic based on the pooled prevalence of depression among affected populations in Asia Pacific, as well as its risk factors.

    METHOD: A systematic review and meta-analysis approach was adopted as per the PRISMA guidelines, targeting articles published in PubMed, Google Scholar and Scopus from January 2021 to March 30, 2021. The screening resulted in 82 papers.

    RESULTS: The overall pooled depression prevalence among 201,953 respondents was 34% (95%CI, 29-38, 99.7%), with no significant differences observed between the cohorts, timelines, and regions (p > 0.05). Dominant risk factors found were fear of COVID-19 infection (13%), gender (i.e., females; 12%) and deterioration of underlying medical conditions (8.3%), regardless of the sub-groups. Specifically, fear of COVID-19 infection was the most reported risk factor among general population (k = 14) and healthcare workers (k = 8). Gender (k = 7) and increased workload (k = 7) were reported among healthcare workers whereas education disruption among students (k = 7).

    LIMITATION: The review is limited to articles published in three electronic databases. Conclusion The pandemic has caused depression among the populations across Asia Pacific, specifically among the general population, healthcare workers and students. Immediate attention and interventions from the concerned authorities are needed in addressing this issue.

    Matched MeSH terms: Asia/epidemiology; Depression/epidemiology
  19. Wan KS, Sundram ER, Abdul Haddi AA, Dashuki AR, Ahad A, John R, et al.
    PeerJ, 2023;11:e14742.
    PMID: 36915663 DOI: 10.7717/peerj.14742
    BACKGROUND: Long COVID is new or ongoing symptoms at four weeks or more after the start of acute COVID-19. However, the prevalence and factors associated with long COVID are largely unknown in Malaysia. We aim to determine the proportion and factors associated with long COVID among COVID-19 patients in Port Dickson, Malaysia. The positive outcomes of our long COVID active detection initiative were also described.

    METHODS: This was a retrospective analysis of long COVID data collected by the Port Dickson District Health Office between 1 September 2021 to 31 October 2021. Monitoring long COVID symptoms was our quality improvement initiative to safeguard residents' health in the district. The study population was patients previously diagnosed with COVID-19 who resided in Port Dickson. The inclusion criteria were adults aged 18 years and above and were in the fifth week (day 29 to 35) post-COVID-19 diagnosis during the data collection period. We called all consecutive eligible patients to inquire regarding long COVID symptoms. Long COVID was defined as new or ongoing symptoms lasting more than 28 days from the date of positive SARS-CoV-2 by polymerase chain reaction test. Binary multivariate logistic regression was conducted to determine factors associated with long COVID.

    RESULTS: Among 452 patients, they were predominantly male (54.2%), Malays (68.8%) and aged 18-29 years (58.6%). A total of 27.4% (95% CI [23.4-31.8]) of patients experienced long COVID symptoms and were referred to government clinics. The most frequent long COVID symptoms experienced were fatigue (54.0%), cough (20.2%), muscle pain (18.5%), headache (17.7%) and sleep disturbance (16.1%). Females, patients with underlying cardiovascular disease, asthma and chronic obstructive airway disease, those who received symptomatic care, and patients with myalgia and headaches at COVID-19 diagnosis were more likely to have long COVID. Three patients with suspected severe mental health problems were referred to the district psychologist, and ten patients with no/incomplete vaccination were referred for vaccination.

    CONCLUSION: Long COVID is highly prevalent among COVID-19 patients in Port Dickson, Malaysia. Long-term surveillance and management of long COVID, especially among the high-risk groups, are needed as we transition to living with COVID-19.

    Matched MeSH terms: Malaysia/epidemiology; Myalgia/epidemiology
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