Despite effective vaccination strategies, measles remains a global public health challenge. The study explored individual and contextual factors associated with measles infection in Malaysia from 2018 to 2022, informing the development of targeted public health interventions. Methods: This cross-sectional study utilised data from the Ministry of Health, the Department of Statistics, and the Department of Environment Malaysia. Multilevel logistic regression analysis was employed to examine individual-level factors, including age, sex, ethnicity, nationality, contact history, travel history, and vaccination status. Concurrently, contextual factors were assessed, encompassing district-level determinants such as population density, median household income, urbanisation, the number of health and rural clinics, vaccination rates, fine particulate matter less than 2.5 μm (PM2.5) levels, relative humidity, and temperature, to determine their impact on measles infection risk. Results: Measles infection was significantly associated with various individual factors. These included age (adjusted odds ratio [aOR], 1.02; 95% confidence interval [CI], 1.02–1.03), ethnicity, non-Malaysian nationality (aOR, 34.53; 95% CI, 8.42– 141.51), prior contact with a measles case (aOR, 2.36; 95% CI, 2.07–2.69), travel history (aOR, 2.30; 95% CI, 1.13–4.70), and vaccination status (aOR, 0.76; 95% CI, 0.72–0.79). Among contextual factors, urbanisation (aOR, 1.56; 95% CI, 1.16– 2.10) and the number of clinics (aOR, 0.98; 95% CI, 0.97–0.99) were significant determinants. Conclusion: This multilevel logistic regression analysis illuminates the complexities of measles transmission, advocating public health interventions tailored to individual and contextual vulnerabilities. The findings highlight the need for a synergistic approach that combines vaccination campaigns, healthcare accessibility improvements, and socioeconomic interventions to effectively combat measles.

Despite effective vaccination strategies, measles remains a global public health challenge. The study explored individual and contextual factors associated with measles infection in Malaysia from 2018 to 2022, informing the development of targeted public health interventions. Methods: This cross-sectional study utilised data from the Ministry of Health, the Department of Statistics, and the Department of Environment Malaysia. Multilevel logistic regression analysis was employed to examine individual-level factors, including age, sex, ethnicity, nationality, contact history, travel history, and vaccination status. Concurrently, contextual factors were assessed, encompassing district-level determinants such as population density, median household income, urbanisation, the number of health and rural clinics, vaccination rates, fine particulate matter less than 2.5 μm (PM2.5) levels, relative humidity, and temperature, to determine their impact on measles infection risk. Results: Measles infection was significantly associated with various individual factors. These included age (adjusted odds ratio [aOR], 1.02; 95% confidence interval [CI], 1.02–1.03), ethnicity, non-Malaysian nationality (aOR, 34.53; 95% CI, 8.42– 141.51), prior contact with a measles case (aOR, 2.36; 95% CI, 2.07–2.69), travel history (aOR, 2.30; 95% CI, 1.13–4.70), and vaccination status (aOR, 0.76; 95% CI, 0.72–0.79). Among contextual factors, urbanisation (aOR, 1.56; 95% CI, 1.16– 2.10) and the number of clinics (aOR, 0.98; 95% CI, 0.97–0.99) were significant determinants. Conclusion: This multilevel logistic regression analysis illuminates the complexities of measles transmission, advocating public health interventions tailored to individual and contextual vulnerabilities. The findings highlight the need for a synergistic approach that combines vaccination campaigns, healthcare accessibility improvements, and socioeconomic interventions to effectively combat measles.

Despite effective vaccination strategies, measles remains a global public health challenge. The study explored individual and contextual factors associated with measles infection in Malaysia from 2018 to 2022, informing the development of targeted public health interventions. Methods: This cross-sectional study utilised data from the Ministry of Health, the Department of Statistics, and the Department of Environment Malaysia. Multilevel logistic regression analysis was employed to examine individual-level factors, including age, sex, ethnicity, nationality, contact history, travel history, and vaccination status. Concurrently, contextual factors were assessed, encompassing district-level determinants such as population density, median household income, urbanisation, the number of health and rural clinics, vaccination rates, fine particulate matter less than 2.5 μm (PM2.5) levels, relative humidity, and temperature, to determine their impact on measles infection risk. Results: Measles infection was significantly associated with various individual factors. These included age (adjusted odds ratio [aOR], 1.02; 95% confidence interval [CI], 1.02–1.03), ethnicity, non-Malaysian nationality (aOR, 34.53; 95% CI, 8.42– 141.51), prior contact with a measles case (aOR, 2.36; 95% CI, 2.07–2.69), travel history (aOR, 2.30; 95% CI, 1.13–4.70), and vaccination status (aOR, 0.76; 95% CI, 0.72–0.79). Among contextual factors, urbanisation (aOR, 1.56; 95% CI, 1.16– 2.10) and the number of clinics (aOR, 0.98; 95% CI, 0.97–0.99) were significant determinants. Conclusion: This multilevel logistic regression analysis illuminates the complexities of measles transmission, advocating public health interventions tailored to individual and contextual vulnerabilities. The findings highlight the need for a synergistic approach that combines vaccination campaigns, healthcare accessibility improvements, and socioeconomic interventions to effectively combat measles.

Despite effective vaccination strategies, measles remains a global public health challenge. The study explored individual and contextual factors associated with measles infection in Malaysia from 2018 to 2022, informing the development of targeted public health interventions. Methods: This cross-sectional study utilised data from the Ministry of Health, the Department of Statistics, and the Department of Environment Malaysia. Multilevel logistic regression analysis was employed to examine individual-level factors, including age, sex, ethnicity, nationality, contact history, travel history, and vaccination status. Concurrently, contextual factors were assessed, encompassing district-level determinants such as population density, median household income, urbanisation, the number of health and rural clinics, vaccination rates, fine particulate matter less than 2.5 μm (PM2.5) levels, relative humidity, and temperature, to determine their impact on measles infection risk. Results: Measles infection was significantly associated with various individual factors. These included age (adjusted odds ratio [aOR], 1.02; 95% confidence interval [CI], 1.02–1.03), ethnicity, non-Malaysian nationality (aOR, 34.53; 95% CI, 8.42– 141.51), prior contact with a measles case (aOR, 2.36; 95% CI, 2.07–2.69), travel history (aOR, 2.30; 95% CI, 1.13–4.70), and vaccination status (aOR, 0.76; 95% CI, 0.72–0.79). Among contextual factors, urbanisation (aOR, 1.56; 95% CI, 1.16– 2.10) and the number of clinics (aOR, 0.98; 95% CI, 0.97–0.99) were significant determinants. Conclusion: This multilevel logistic regression analysis illuminates the complexities of measles transmission, advocating public health interventions tailored to individual and contextual vulnerabilities. The findings highlight the need for a synergistic approach that combines vaccination campaigns, healthcare accessibility improvements, and socioeconomic interventions to effectively combat measles.

Despite effective vaccination strategies, measles remains a global public health challenge. The study explored individual and contextual factors associated with measles infection in Malaysia from 2018 to 2022, informing the development of targeted public health interventions. Methods: This cross-sectional study utilised data from the Ministry of Health, the Department of Statistics, and the Department of Environment Malaysia. Multilevel logistic regression analysis was employed to examine individual-level factors, including age, sex, ethnicity, nationality, contact history, travel history, and vaccination status. Concurrently, contextual factors were assessed, encompassing district-level determinants such as population density, median household income, urbanisation, the number of health and rural clinics, vaccination rates, fine particulate matter less than 2.5 μm (PM2.5) levels, relative humidity, and temperature, to determine their impact on measles infection risk. Results: Measles infection was significantly associated with various individual factors. These included age (adjusted odds ratio [aOR], 1.02; 95% confidence interval [CI], 1.02–1.03), ethnicity, non-Malaysian nationality (aOR, 34.53; 95% CI, 8.42– 141.51), prior contact with a measles case (aOR, 2.36; 95% CI, 2.07–2.69), travel history (aOR, 2.30; 95% CI, 1.13–4.70), and vaccination status (aOR, 0.76; 95% CI, 0.72–0.79). Among contextual factors, urbanisation (aOR, 1.56; 95% CI, 1.16– 2.10) and the number of clinics (aOR, 0.98; 95% CI, 0.97–0.99) were significant determinants. Conclusion: This multilevel logistic regression analysis illuminates the complexities of measles transmission, advocating public health interventions tailored to individual and contextual vulnerabilities. The findings highlight the need for a synergistic approach that combines vaccination campaigns, healthcare accessibility improvements, and socioeconomic interventions to effectively combat measles.

Flood disaster is the commonest natural disaster with huge impact on healthcare services in Malaysia. TheFloodDMQ-BM©questionnairewasdeveloped as a tool to assess the knowledge, attitude, and practice of healthcare providers regarding patient management during a flood disaster. We aimto further validate the FloodDMQ-BM©questionnaire by using Confirmatory Factor Analysis (CFA) and Item Response Theory (IRT).Thiscross-sectional studyinvolved doctors, nurses and paramedics workingin the Emergency Department of Hospital Universiti Sains Malaysia, Hospital Raja Perempuan Zainab II and Hospital Kuala Krai. Respondents were required to complete the FloodDMQ-BM©questionnaire. The responseswereanalysed by using CFA and IRT to establish its validity and reliability. A total of 215respondents participatedin this study. CFA analysiswith Maximum Likelihood Robust as the estimation method, on the attitude and practice components resulted in good factor loadings (>0.5) in nearly all items and excellent modelfit indices values (CFI = 0.96-0.98, TLI = 0.95-0.96, SRMR = 0.04-0.05, RMSEA = 0.07).Meanwhile, IRT analysis on the knowledge section showed a good two-way marginal fit based on S-X2, and a good model fit with RMSEA of 0.08. Based on the 2PL model by using the IRT assessment of the knowledge section, one item in the knowledge section (K3) was removed (chi-squared residual >4) resulting in improved model fit. The included items had well-standardized loadings (>0.3) and marginal reliability of 0. 651.Ourresults confirmed that the FloodDMQ-BM©questionnaire displayed valid and reliable psychometric properties.

Introduction: The integration of infant and young child feeding into childcare settings is important to the overall wellbeing of a community. To our knowledge, there is no questionnaire at the national context specifically on the knowledge, attitude and practice (KAP) of infant and young child feeding among childcare providers. Preexisting questionnaires are unsatisfactory due to different target populations and validation approaches. This study aims to develop a new questionnaire for assessing the KAP regarding infant and young child feeding among childcare providers in Malaysia. Methods: A new questionnaire on childcare providers’ KAP was developed using literature review, expert opinions, and a theoretical framework. It was developed using a modified Delphi technique in five phases: 1. Identification of the domains, 2. Verification of the identified domains, 3. Definition of the domains, 4. Identification of relevant and representative items for each domain, and 5. Final verification of the domains and items, followed by a pre-survey evaluation. Results: The final items were verified by experts with references to relevant literatures, other questionnaires, and experts’ experiences. A total of 236 items were selected after consideration of their relevancy and representativeness: 104, 90, 42 items addressing knowledge, attitude, and practice, respectively. The questionnaire was named Borang Kaji Selidik Pemakanan Bayi dan Kanak-kanak dalam kalangan Pengasuh, or IYCFCCPQ. Conclusion: The IYCF-CCPQ is a newly developed questionnaire to measure childcare providers’ KAP regarding infant and young child feeding.

The flood disaster in Kelantan in 2014 had resulted in substantial health implications including increased cases of communicable diseases. There was a lack of community preparedness including customized health educations in the prevention and control of flood-related communicable diseases in the affected areas. The research was aimed to evaluate the effectiveness of community-based health education modules on flood-related communicable diseases among communities in Kelantan. Health education modules focusing on major food-related diseases were developed. A non-randomized community-controlled trial using the modules were conducted. Outcomes were assessed on knowledge, attitude and preventive practice scores to flood-related communicable diseases using a pre-validated questionnaire. Independent t test was used to compare mean scores between the intervention community (Tumpat) and the control community (Bachok) at 1-month post intervention. One-way independent ANOVA test was done to compare score differences at baseline (pre), post 1-month and post 2-month from repeated surveys among random samples within the intervention community. There were significant improvements in all knowledge components from 9.4% to 52.6% with 10% increment in attitude scores toward preventing behaviours on flood-related communicable diseases. When compared against the control community at one-month post-intervention, there were significantly higher knowledge on types of diseases, symptoms and risk factors as well as practice scores of drinking safe water and protective habits. This research demonstrated that community-based health education is effective in improving relevant knowledge, attitude and preventive practices among affected communities as part of their preparedness toward communicable diseases related to flood.

Background: Self-efficacy (SE) is a person’s belief in his or her own capability to perform and accomplish a task that could produce a favourable outcome, despite facing obstacles. This study aimed to confirm the validity and reliability of an SE scale among undergraduate students at the Health Campus of the Universiti Sains Malaysia. Methods: A cross-sectional study was conducted among the undergraduate students using a self-administered questionnaire. After using a purposive sampling method, 562 students completed the questionnaire. Mplus 8 was employed to conduct the confirmatory factor analysis on the psychometric properties of Bandura’s 18-item SE scale with three factors (internal feeling, competing demands and situational). Then, the composite reliability was calculated for each factor. Results: Most of the students were Malay (73.3%) females (79.0%) who exercised 2.62 times a week for an average of 43.37 min per session. The final measurement model was obtained after removing six problematic items, and the model was deemed fit based on several indices [Root Mean Square Error of Approximation (RMSEA) = 0.067, Standardised Root Mean Square Residual (SRMR) = 0.004, Comparative Fit Index (CFI) = 0.924]. The composite reliability values of the three factors were acceptable (0.65 to 0.84). Conclusion: The simplified 12-item SE scale with three factors displayed good fit indices with regard to the data, and they were considered to be acceptable for the current sampl

Background: Many questionnaires have been developed to measure dental anxiety andfear. Among them is the Index of Dental Anxiety and Fear Scale (IDAF-4C+), which consists of adental anxiety and fear module (IDAF-4C), a phobia module (IDAF-P) and a stimulus module(IDAF-S). The objective of this research was to report the adaptation and validation of the IDAF-4C+ for Malaysian secondary school children.Methods: This was a cross‑sectional validation study. The original English version of theIDAF-4C+ was translated into Malay, back-translated, and then sent for content validation via anexpert validation and face validation by the target student population. Three hundred and seventyquestionnaires were then distributed among 16-year-old school children. Confirmatory factoranalysis (CFA) was conducted for the IDAF-4C module using a bootstrapped maximum likelihoodestimator. Spearman’s rank correlation was used to assess the relationship between the IDAF‑Sand IDAF-4C modules. Intraclass correlation (ICC) was used to determine the stability of theIDAF-S and IDAF-4C modules, while kappa values were used for the IDAF-P module.Results: The response rate was 86.5% for CFA and 76.9% for stability. CFA showed theexistence of only one factor with a reliability estimate of 0.921, obtained via Raykov’s procedure.All items in the IDAF-S module were significantly correlated with the IDAF-4C module (P <0.001). The IDAF-S and IDAF-4C modules were stable, as determined via a two-way mixed modelwith absolute agreement, a single measure and a Case 3 ICC (A, 1). The IDAF-P module showedsatisfactory stability, as assessed via kappa values.Conclusion: The Malay version of the IDAF-4C+ is valid and reliable in measuring dentalanxiety and fear among Malaysian secondary school children.