Awareness and Knowledge of Chikungunya Virus Infection Among Healthcare Workers in Hulu Langat District.

As Chikungunya virus (CHIKV) infection continues to rise globally, including in Malaysia, it is essential for healthcare workers (HCWs) to have adequate knowledge about the disease for diagnostic accuracy and to improve public health surveillance systems. This study aimed to assess awareness and measure the level of knowledge of CHIKV infection among HCWs in the Hulu Langat district and explore associated sociodemographic and skill-related factors. This was a cross-sectional study in which the questionnaire was physically distributed to participants using the universal sampling method. All participants (100%) were aware of CHIKV infection, and most (80.1%) had knowledge of the disease. Furthermore, networks such as professional members, family, and friends (27.8%), followed by professional development programs (23.1%), were identified as the common platforms utilized by HCWs to access information regarding CHIKV infection. Ordinal logistic regression analysis further demonstrated that the level of education (odds ratio [OR] = 2.23, 95% confidence interval [CI] [1.14, 4.35]) and HCWs who attended Continuing Medical Education (CME)/courses on CHIKV infection (OR = 1.73, 95% CI [1.00, 3.01]) and had experience in handling the case (OR = 3.23, 95% CI [1.44, 7.28]) were significantly associated with awareness and knowledge of the disease. Implementing continuous education and training can enhance HCWs' understanding of CHIKV infection.

Spontaneous Preterm Births in Malaysia: Are There Modifiable Antenatal Risk Factors?

Background Spontaneous preterm birth (SPB) is a global public health concern with devastating health effects on SPB survivors. This study aimed to determine modifiable antenatal risk factors associated with SPB among women attending government healthcare facilities in Malaysia. Methodology A retrospective record review of 49,416 national obstetrics registry data from 2015 was conducted and analyzed using binary logistic regression based on six antenatal factor divisions. Results Mothers with pre-existing diabetes had higher odds (adjusted odds ratio (aOR) = 3.09) of delivering prematurely than mothers without diabetes. Mothers with chronic hypertension with superimposed pre-eclampsia (aOR = 2.51) and gestational hypertension (aOR = 1.44) had higher odds of experiencing preterm birth than mothers with no hypertension. Underweight mothers had higher odds (aOR = 1.27) of delivering prematurely than mothers with an ideal body mass index (18.5 to <25.0 kg/m2). Mothers with moderate anemia (hemoglobin level: 7 to <9 g/dL) had higher odds (aOR = 1.18) of preterm birth than mothers with normal hemoglobin levels (≥11 g/dL). Conclusions Maternal biomarkers, such as glucose level, blood pressure, BMI, and hemoglobin level, play an important role in reducing the rate of SPB in Malaysia. This study recommends strengthening pre-pregnancy, antenatal, and postpartum care through multidisciplinary and multi-agency team collaboration, addressing both modifiable and non-modifiable risk factors and adopting a dual approach that combines preventive and curative care.

Exploring the Interplay of Social Support, Depression, and Quality of Life of Community Older Adults Through Structural Equation Modeling.

Social support (SS) has been widely recognized to have a protective effect influencing older adults' emotional and psychological well-being. This study attempted to determine the relationships of structural SS and functional SS on depression and quality of life among the community-dwelling older adults in the rural and Asian context. A cross-sectional study was conducted among 2324 community older adults aged 60 years and above in Kuala Pilah, Malaysia. Participants were recruited via multistage sampling and interviewed face-to-face. The relationships were analyzed using structural equation modeling. Structural SS was associated with functional SS (ß = 0.05). Only functional SS (having a role, knowing what is going on, and having a confidant) was found to be significantly associated with depression (ß = -0.07) and quality of life (physical component [ß = 0.08], mental component [ß = 0.31]). In summary, functional SS and familial SS should be addressed to reduce depression and improve quality of life among older adults. Community initiatives to increase awareness in optimizing social support should be conducted for quality of life among community older adults.

Prevalence of diabetic kidney disease and the associated factors among patients with type 2 diabetes in a multi-ethnic Asian country.

The actual prevalence of diabetic kidney disease (DKD) in patients with type 2 diabetes (T2D) in Malaysia is unknown. We aimed to determine the prevalence of DKD and its associated risk factors among T2D patients in Malaysia. An analytical cross-sectional study was conducted using the year 2022 clinical audit dataset from the National Diabetes Registry. DKD was defined as albuminuria, a decreased glomerular filtration rate, or both. Among 80,360 patients, 62.2% were female, 68.4% were Malay, and the mean age was 61.4 years. A total of 56.7% (95% CI 56.4-57.1%) of patients were found to have DKD. Increasing age, male sex, Malay ethnicity, longer duration of diabetes, overweight, obesity, hypertension, diabetic retinopathy, diabetic foot ulcer, nontraumatic lower-extremity amputation, ischaemic heart disease, stroke, insulin, higher numbers of antihypertensive agents, antiplatelet agents, poorer HbA1c control, higher systolic blood pressure, non-achievement of triglyceride target, and non-attainment of HDL-cholesterol goal were independent risk factors associated with DKD. Clinicians, program managers, and health policymakers should target modifiable factors to manage DKD and prevent its progression to end-stage kidney disease in Malaysia.

Prevalence of Co-Occurrence of Physical Frailty and Malnutrition and Its Associated Factors Among Community-Dwelling Older Adults in a Rural District, Malaysia.

Frailty and malnutrition commonly co-occur but remains undetected and untreated in community settings. This study aimed to determine the prevalence of co-occurring frailty and malnutrition, and its associated factors among community-dwelling older adults in a rural setting in Malaysia. A cross-sectional study was conducted among adults aged ≥ 60 residing in Kuala Pilah district, Negeri Sembilan, Malaysia. Physical frailty and nutritional status were assessed using the Fried phenotype and the Mini Nutritional Assessment (MNA), respectively. Among 1855 participants, 6.4% had co-occurring frailty and at-risk/malnutrition and 11.3% had co-occurring prefrailty and at-risk/malnutrition. Older age, fair-to-poor self-rated health, long-term disease, polypharmacy, activities of daily living (ADLs) and instrumental ADLs' disabilities, cognitive impairment, and poor social support were associated with higher odds of co-occurring frailty and malnutrition. Therefore, beside early identification, targeted intervention is crucial to prevent or delay the progression of frailty and malnutrition in this population.

Machine learning based predictive model of Type 2 diabetes complications using Malaysian National Diabetes Registry: A study protocol.

Background: The prevalence of diabetes in Malaysia is increasing, and identifying patients with higher risk of complications is crucial for effective management. The use of machine learning (ML) to develop prediction models has been shown to outperform non-ML models. This study aims to develop predictive models for Type 2 Diabetes (T2D) complications in Malaysia using ML techniques. Design and methods: This 10-year retrospective cohort study uses clinical audit datasets from Malaysian National Diabetes Registry from 2011 to 2021. T2D patients who received treatment in public health clinics in the southern region of Malaysia with at least two data points in 10 years are included. Patients with diabetes complications at baseline are excluded to ensure temporality between predictors and the target variable. Appropriate methods are used to address issues related to data cleaning, missing data imputation, data splitting, feature selection, and class imbalance. The study uses 7 ML algorithms, including logistic regression, support vector machine, k-nearest neighbours, decision tree, random forest, extreme gradient boosting, and light gradient boosting machine, to develop predictive models for four target variables: nephropathy, retinopathy, ischaemic heart disease, and stroke. Hyperparameter tuning is performed for each algorithm. The model training is performed using a stratified k-fold cross-validation technique. The best model for each algorithm is evaluated on a hold-out dataset using multiple metrics. Expected impact of the study on public health: The prediction model may be a valuable tool for diabetes management and secondary prevention by enabling earlier interventions and optimal resource allocation, leading to better health outcomes.

Sarcopenia and All-Cause Mortality Risk in Community-Dwelling Rural Malaysian Older Adults.

Sarcopenia is associated with numerous adverse health outcomes, including frailty, disability, and mortality. Since the Asian Working Group for Sarcopenia 2019 guidelines, which were published in 2020, are relatively new, studies on the association between sarcopenia as defined by these guidelines and mortality are limited in the Asian region. Accordingly, this study aimed to examine the all-cause mortality risk associated with sarcopenia among community-dwelling older adults in rural Malaysia. This cohort study included 2404 older adults residing in Kuala Pilah District, Negeri Sembilan, Malaysia who were followed up for 83 months. The prevalence rates of sarcopenia and severe sarcopenia were 5.0% and 3.60%, respectively. Older adults with sarcopenia and severe sarcopenia had a 114% (hazard ratio [HR]: 2.14) and 146% (HR: 2.46) increased mortality risk compared with those without sarcopenia (HR: 2.14). Our findings indicate that early intervention is recommended to prevent sarcopenia in older adults.

Effect of supplementary private health insurance on out-of-pocket inpatient medical expenditure: evidence from Malaysia.

The vital role of healthcare financing in achieving universal health coverage is indisputable. However, most countries, including Malaysia, face challenges in establishing an equitable and sustainable healthcare financing system due to escalating healthcare costs, an ageing population and a growing disease burden. With desirable pre-payment and risk pooling features, private health insurance (PHI) is considered an alternative financing option to reduce out-of-pocket (OOP) medical expenditure. However, ongoing theoretical and empirical debates persist regarding the adequacy of financial risk protection provided by PHI largely because it depends on its role, the benefit design and the regulations in place. Our study aimed to investigate the effect of supplementary PHI on OOP inpatient medical expenditure in Malaysia. Secondary data analysis was conducted using the Malaysian National Health and Morbidity Survey 2019 dataset. A total of 983 respondents with a history of inpatient hospitalization in the past 12 months were included in the study. Instrumental variable analysis using a two-stage residual inclusion was performed to address endogeneity bias, with wealth status and education level as the instrumental variables. Tobit regression model was used in the second stage considering the censored distribution of the outcome variable. Missing data were handled using multiple imputation. About one-fifth of the respondents had PHI. In this study, we found that having PHI significantly increased OOP inpatient medical expenditure in all three marginal effects. Additionally, age, residential location, ethnicity (citizenship), being covered by government guarantee letter, government funding and employer-sponsored health insurance were other significant factors associated with OOP inpatient medical expenditure. Our findings undermine a key justification to advocate PHI uptake among the population, with a need for the Malaysian government to reassess the role of PHI in healthcare financing and reconsider PHI subsidization policy. Regulations should also be strengthened to enhance the financial risk protection provided by PHI.

Prevalence of type 2 diabetes mellitus and impaired fasting glucose, and their associated lifestyle factors among teachers in the CLUSTer cohort.

Background: Teachers are responsible for educating future generations and therefore play an important role in a country's education system. Teachers constitute about 2.6% of all employees in Malaysia, making it one of the largest workforces in the country. While health and well-being are crucial to ensuring teachers' work performance, reports on non-communicable diseases such as type 2 diabetes mellitus (T2DM) among Malaysian teachers are scarce. Hence, this study focused on the prevalence of T2DM, undiagnosed diabetes mellitus (DM), impaired fasting glucose (IFG), and underlying lifestyle factors associated with these outcomes among Malaysian teachers. Methods: This is a cross-sectional study from the CLUSTer cohort. There were 14144 teachers from the Peninsular Malaysia included in this study. The teachers' sociodemographic and lifestyle characteristics were described using a weighted complex analysis. A matched age group comparison was carried out between teachers and the Malaysian general population on T2DM, undiagnosed DM, and IFG status. Next, the researchers examined the association of lifestyle factors with T2DM and IFG using multivariable logistic regression. Results: The prevalence of T2DM, undiagnosed DM, and IFG among the Malaysian teachers were 4.1%, 5.1%, and 5.6%, respectively. The proportions of teachers with T2DM (both diagnosed and undiagnosed) and the IFG increased linearly with age. Teachers had a lower weighted prevalence of T2DM (known and undiagnosed) than the general population. However, teachers were more inclined to have IFG than the general population, particularly those aged 45 years and older. Among all lifestyle indicators, only waist circumference (aOR: 1.14, 95% CI: 1.08, 1.20) was found to be associated with T2DM, whereas waist circumference (aOR: 1.10, 95% CI: 1.05, 1.15) and physical activity [moderately active = (aOR: 0.71, 95% CI: 0.52, 0.98); highly active = (aOR: 0.56, 95% CI: 0.40, 0.80)] were associated with IFG. Conclusions: Modifiable lifestyle factors such as abdominal obesity and physical activity were associated with T2DM and IFG. Intervention programs targeting these factors could help reduce future treatment costs and increase productivity.

PROTOCOL: Psychometric properties of instruments for measuring elder abuse and neglect in community and institutional settings: A systematic review.

Background: The psychometric properties of elder abuse measurement instruments have not been well-studied. Poor psychometric properties of elder abuse measurement instruments may contribute to the inconsistency of elder abuse prevalence estimates and uncertainty about the magnitude of the problem at the national, regional, and global levels. Objectives: The present review will utilise the COSMIN taxonomy on the quality of outcome measures to identify and review the instruments used in measuring elder abuse, assess the instrument's measurement properties, and identify the definitions of elder abuse and abuse subtypes measured by the instrument. Search Methods: Searches will be conducted in the following online databases: Ageline, ASSIA, CINAHL, CNKI, EMBASE, Google Scholar, LILACS, Proquest Dissertation & Theses Global, PsycINFO, PubMed, SciELO, Scopus, Sociological Abstract and WHO Index Medicus. Relevant studies will also be identified by searching the grey literature from several resources such as OpenAIRE, BASE, OISter and Age Concern NZPotential studies by searching the references of related reviews. We will contact experts who have conducted similar work or are currently conducting ongoing studies. Enquiries will also be sent to the relevant authors if any important data is missing, incomplete or unclear. Selection Criteria: All quantitative, qualitative (that address face and content validity), and mixed-method empirical studies published in peer-reviewed journals or the grey literature will be included in this review. Studies will be included if they are primary studies that (1) evaluate one or more psychometric properties; (2) contain information on instrument development, or (3) perform content validity of the instruments designed to measure elder abuse in the community or institutional settings. Studies should describe at least one of the psychometric properties, such as reliability, validity and responsiveness. Study participants represent the population of interest, including males and females aged 60 or older in community or institutional settings (i.e., nursing homes, long-term care facilities, assisted living, residential care institutions, and residential facilities). Data Collection and Analysis: Screening of titles, abstracts, and full texts of the selected studies will be evaluated based on the preset inclusion criteria by two reviewers. Two reviewers will be assessing the quality appraisal of each study using the COSMIN Risk of Bias checklist and the overall quality of evidence of each psychometric property of the instrument against the updated criteria of good measurement properties. Any dispute between the two reviewers will be resolved through discussions or consensus with a third reviewer. The overall quality of the measurement instrument will be graded using a modified GRADE approach. Data extraction will be performed using the data extraction forms adapted from the COSMIN Guideline for Systematic Reviews of Outcome Measurement Instruments. The information includes the characteristic of included instruments (name, adaptation, language used, translation and country of origin), characteristics of the tested population, psychometric properties listed in the COSMIN criteria, including details on the instrument development, content validity, structural validity, internal consistency, cross-cultural validity/measurement invariance, reliability, measurement error, criterion validity, hypotheses testing for construct validity, responsiveness and interoperability. We will perform a meta-analysis to pool psychometric properties parameters (where possible) or summarise qualitatively.

Does Active Aging Reduce Mortality Risk Among Older Adults? A Survival Analysis in Malaysia.

Active aging is important for promoting the health, wellbeing, and participation of older adults. This study investigated the association between active aging and mortality risk among 2 230 respondents aged 60 and older. Principal component analysis extracted a five-factor structure from 15 indicators of active aging. The mean active aging score was 55.57 and the median was 53.33. The Kaplan-Meier curve showed that individuals with active aging scores of 53.33 and above had significantly longer survival than those below the median. Cox regression analysis indicated the significance of active aging in reducing mortality risk by 2.5% after adjusting for sex, marital status, age, ethnicity, chronic diseases, and risk factors. The active aging approach comprising health, economic, and social factors is crucial in improving survival among older adults. Hence, policies and programs that promote active aging should be encouraged to enhance the health and wellbeing of older adults and their engagement in society.

Gender differences in the associations between knee pain and urinary incontinence in older adults: Cross-sectional analysis from the Malaysian Elders Longitudinal Research Study (MELoR).

INTRODUCTION: The common assumption that urinary incontinence occurs in osteoarthritis (OA) due to poor mobility is supported by limited evidence. The influence of gender in such associations is also yet to be elucidated. OBJECTIVE: This study, therefore, identified any potential associations between knee OA symptoms and urinary incontinence and further explore sex differences in the associations. DESIGN: Cross-sectional study. SETTING: University Hospital. PARTICIPANTS: This was a cross-sectional study from a longitudinal research study comprising 1221 community-dwelling older persons (57% women), mean age (SD) 68.95 (7.49) years. MAIN OUTCOME MEASURE(S): Presence of urinary incontinence: mixed, stress and urge symptoms. Physical performance and C-reactive protein levels were also assessed. RESULTS: Two hundred and seventy-seven (22.83%) individuals reported the presence of urinary incontinence: mixed (41.5%), stress (30%), and urge (28.5%) symptoms. In an unadjusted analysis, stratified by gender, the association between knee pain and urinary incontinence was only present in women with mixed symptoms. After further adjustment of demographics differences and body mass index, the association between knee pain with any urinary incontinence and mixed symptoms remained significant with the odds ratios (95% confidence interval): 1.48 (1.02-2.15) and 1.73 (1.06-2.83), respectively. This relationship was attenuated after further adjustment for waist circumference and impaired lower limb mobility. CONCLUSION: Our study refutes previous assumptions that urinary incontinence in individuals with OA is attributed to impaired mobility alone, but introduces the role of abdominal obesity in this relationship, particularly in women. Future studies should assess the temporal relationship between body fat distribution and OA with urinary incontinence.

The Prevalence and Association Between Social Support and Physical Activity Among the Rural Community-Dwelling Older Women in a Southeast Asian Country.

While physical activity ensures healthy aging, rural community-dwelling older women tend to be more physically inactive compared with their counterparts in Malaysia. As social support is one of the key determinants of physical activity, this retrospective, cross-sectional study investigated the prevalence of physical activity and its association with social support among 1,221 rural community-dwelling older women in Kuala Pilah, Negeri Sembilan, Malaysia. The prevalence of physical activity among older women was 45.1% with the highest prevalence reported for housework domain (52.3%). The total mean Duke Social Support index score was 27.24 ± 3.40. Multivariate analysis reported age, employment status, and income level to demonstrate significant association with the physical activity after adjusting for confounders. Older women with an increase in social interaction score were more likely (odds ratio = 1.22; 95% confidence interval [1.10, 1.34]; p < .001) to have high physical activity when adjusted for sociodemographic, health, mental health, and physical disability. Contrarily, older women with an increase in one subjective social support score were less likely (odds ratio = 0.91; 95% confidence interval [0.87, 0.96]; p < .001) to have high physical activity when adjusted for confounders. The findings were insightful to tailor interventions on promoting social support for physical activity enhancement among older women.

Estimating excess mortalities due to the COVID-19 pandemic in Malaysia between January 2020 and September 2021.

Excess mortalities are a more accurate indicator of true COVID-19 disease burden. This study aims to investigate levels of excess all-cause mortality and their geographic, age and sex distributions between January 2020-September 2021. National mortality data between January 2016 and September 2021 from the Department of Statistics Malaysia was utilised. Baseline mortality was estimated using the Farrington algorithm and data between 1 January 2016 and 31 December 2019. The occurrence of excess all-cause mortality by geographic-, age- and sex-stratum was examined from 1 January 2020 to 30 September 2021. A sub-analysis was also conducted for road-traffic accidents, ethnicity and nationality. Malaysia had a 5.5-23.7% reduction in all-cause mortality across 2020. A reversal is observed in 2021, with an excess of 13.0-24.0%. Excess mortality density is highest between July and September 2021. All states and sexes reported excess trends consistent with the national trends. There were reductions in all all-cause mortalities in individuals under the age of 15 (0.4-8.1%) and road traffic accident-related mortalities (36.6-80.5%). These reductions were higher during the first Movement Control Order in 2020. Overall, there appears to be a reduction in all-cause mortality for Malaysia in 2020. This trend is reversed in 2021, with excess mortalities being observed. Surveillance of excess mortalities can allow expedient detection of aberrant events allowing timely health system and public health responses.

Effects of a Multicomponent Exercise and Therapeutic Lifestyle (CERgAS) Intervention on Gait Function in Lower-Income Urban-Dwelling Older Adults: A Cluster Randomized Controlled Trial.

This study aims to determine the effectiveness of a multicomponent exercise and therapeutic lifestyle (CERgAS) intervention at improving gait speed among older people in an urban poor setting in Malaysia. A total of 249 participants were divided into the intervention (n = 163) and control (n = 86) groups. The mean (SD) age of participants was 67.83 (6.37) and consisted of 88 (35.3%) males and 161 (64.7%) females. A generalized estimating equation with an intention-to-treat analysis was used to measure gait speed at four time points, baseline (T0), 6 weeks (T1), 3 months postintervention (T2), and 6 months postintervention (T3). The results showed significant changes for time between T0 and T3 (mean difference = 0.0882, p = .001), whereas no significant association were found for group (p = .650) and interaction (p = .348) effects. A 6-week intervention is inadequate to improve gait speed. Future efforts should introduce physical activity monitoring and increase exercise duration, frequency, and intensity.

Five-year LDL-cholesterol trend and its predictors among type 2 diabetes patients in an upper-middle-income country: a retrospective open cohort study.

Background: Patients with diabetes have increased risks of cardiovascular diseases (CVD), and their LDL-cholesterol (LDL-C) has to be treated to target to prevent complications. We aim to determine the LDL-C trend and its predictors among patients with type 2 diabetes (T2D) in Malaysia. Methods: This was a retrospective open cohort study from 2013 to 2017 among T2D patients in public primary health care clinics in Negeri Sembilan state, Malaysia. Linear mixed-effects modelling was conducted to determine the LDL-C trend and its predictors. The LDL-C target for patients without CVD was <2.6 mmol/L, whereas <1.8 mmol/L was targeted for those with CVD. Results: Among 18,312 patients, there were more females (55.9%), adults ≥60 years (49.4%), Malays (64.7%), non-smokers (93.6%), and 45.3% had diabetes for <5 years. The overall LDL-C trend reduced by 6.8% from 2.96 to 2.76 mmol/L. In 2017, 16.8% (95% CI: 13.2-21.0) of patients without CVD and 45.8% (95% CI: 44.8-46.8) of patients with CVD achieved their respective LDL-C targets. The predictors for a higher LDL-C trend were younger adults, Malay and Indian ethnicities, females, dyslipidemia, and diabetes treatment with lifestyle modification and insulin. Longer diabetes duration, obesity, hypertension, retinopathy, statin therapy, achievement of HbA1c target and achievement of BP target were independent predictors for a lower LDL-C trend. Conclusions: The LDL-C trend has improved, but there are still gaps between actual results and clinical targets. Interventions should be planned and targeted at the high-risk populations to control their LDL-C.

Long COVID and its associated factors among COVID survivors in the community from a middle-income country-An online cross-sectional study.

Patients with COVID-19 usually recover and return to normal health, however some patients may have symptoms that last for weeks or even months after recovery. This persistent state of ill health is known as Long COVID if it continues for more than three months and are not explained by an alternative diagnosis. Long Covid has been overlooked, especially in the low- and middle-income countries. Therefore, we conducted an online survey among the COVID-19 survivors in the community to explore their Long COVID symptoms, factors associated with Long COVID and how Long COVID affected their work. A total of 732 COVID-19 survivors responded, with 56% were without or with mild symptoms during their acute COVID-19 conditions. One in five COVID-19 survivors reported of experiencing Long COVID. The most commonly reported symptoms were fatigue, brain fog, depression, anxiety and insomnia. Females had 58% higher odds (95% CI: 1.02, 2.45) of experiencing Long COVID. Patients with moderate and severe levels of acute COVID-19 symptoms had OR of 3.01 (95% CI: 1.21, 7.47) and 3.62 (95% CI: 1.31, 10.03) respectively for Long COVID. Recognition of Long COVID and its associated factors is important in planning prevention, rehabilitation, clinical management to improve recovery from COVID-19.

Elder abuse and hospitalization in rural Malaysia.

Our study aims to describe and determine factors associated with hospitalization among victims of elder abuse and neglect (EAN) in rural Malaysia. A cross sectional study based on the baseline data of the Malaysian Elder Mistreatment Project (MAESTRO) collected from November 2013 until July 2014 involving 1927 older adults in Kuala Pilah, Negeri Sembilan was conducted. EAN was determined using the modified Conflict Tactics Scale (CTS) and hospitalization rates were determined based on self-report. The prevalence of overall EAN was 8.1% (95%CI 6.9-9.3). Among male respondents, 9.5% revealed history of abuse and among female respondents, 7.2% reported experiencing EAN. The annual hospitalization rates per 100 persons within the past one year among EAN victims and non-victims were 18 per 100 persons (SD = 46.1) and 15 per 100 persons (SD = 64.1) respectively. Among respondents with history of EAN, 16.0% (n = 21) had been hospitalized in the past 12 months while among respondents with no EAN experience, 10.2% (n = 153) were hospitalized. Multivariable analyses using Poisson regression did not show any significant association between EAN and hospitalization. This could be due to the complex interactions between medical and social circumstances that play a role in hospital admissions, factors affecting the health care system, and access to health care among EAN victims.