Displaying publications 41 - 44 of 44 in total

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  1. Wong HJ, Harith S, Lua PL, Ibrahim KA
    Malays J Med Sci, 2020 Jul;27(4):72-84.
    PMID: 32863747 MyJurnal DOI: 10.21315/mjms2020.27.4.7
    Background: The present study examined the prevalence and predictors of malnutrition risk among post-stroke patients.

    Methods: Post-stroke patients who attended the outpatient clinics in three hospitals of Peninsular Malaysia were enrolled in the study. The risk of malnutrition was assessed using the Malnutrition Risk Screening Tool-Hospital. Data including demographic characteristics, clinical profiles, dietary nutrients intake, body mass index (BMI) and hand grip strength were collected during the survey. The crude odds ratio (OR) and adjusted odds ratio (AOR) were reported for univariate and multivariate logistic regression analyses, respectively.

    Results: Among 398 patients included in the study, 40% were classified as high-risk for malnutrition. In the multivariable logistic regression, tube feeding (AOR: 13.16, 95% confidence interval [CI]: 3.22-53.77), loss of appetite (AOR: 8.15, 95% CI: 4.71-14.12), unemployment (AOR: 4.26, 95% CI: 1.64-11.12), wheelchair-bound (AOR: 2.23, 95% CI: 1.22-4.09) and BMI (AOR: 0.87, 95% CI: 0.82-0.93) were found to be significant predictors of malnutrition risk among stroke patients.

    Conclusion: The risk of malnutrition is highly prevalent among post-stroke patients. Routine nutritional screening, identification of risk factors, and continuous monitoring of dietary intake and nutritional status are highly recommended even after the stroke patient is discharged.

    Matched MeSH terms: Unemployment
  2. Mohd Sidik S, Rampal L, Afifi M
    Malays J Med Sci, 2004 Jan;11(1):52-9.
    PMID: 22977360 MyJurnal
    The prevalence of aging population is increasing not only in developed countries, but also in developing countries like Malaysia. The aim of this study was: (1) to determine the prevalence of physical and mental health problems, and (2) to determine the association of these health problems with socio demographic factors among the elderly in a rural community in Sepang, Selangor. A cross sectional study design was used. Five out of nine villages were selected via random sampling. The elderly in the selected villages were interviewed using a pre-tested structured questionnaire which included the GDS-30, ECAQ and Barthel Index. Out of 263 elderly residents (6.2% of the total population), 223 agreed to participate in the study giving a response rate of 84.8%. The mean age of the respondents was 69.7 + 6.8 years with a median of 68 years. The prevalence of physical health problems such as chronic illness and functional dependence were 60.1% and 15.7%, respectively. While the prevalence of mental health problems such as depression and cognitive impairment were 7.6% and 22.4%, respectively. Among the health problems studied, depression was found to be significantly associated with unemployment (p<0.05), where as cognitive impairment was significantly associated with age, gender, ethnicity, marital status and level of education (p<0.05).
    Matched MeSH terms: Unemployment
  3. Chua YC, Abdin E, Tang C, Subramaniam M, Verma S
    Schizophr Res, 2019 09;211:63-68.
    PMID: 31327504 DOI: 10.1016/j.schres.2019.07.009
    Most studies on predictors of vocational outcomes are cross-sectional and results are varied. This study aimed to examine the vocational rates of patients with first-episode psychosis (FEP), identify factors predicting a lack of engagement in age-appropriate roles, and evaluate the predictive ability of a model with baseline sociodemographic information and 2-year symptom and functioning trajectories on vocational outcomes. The Singapore Early Psychosis Intervention Program (EPIP) has maintained a standing database on patient clinico-demographic information. The primary outcome, vocational status, was operationalized as "meaningfully employed", that is, being gainfully employed or engaged in an age-appropriate role, and "unemployed". Using logistic regression, the predictive ability of the proposed model was evaluated. Vocational data was available for 1177 patients accepted into EPIP between 2001 and 2012. At the end of two years in the service, 829 (70.4%) patients were meaningfully employed and 348 (29.6%) patients were unemployed. The binary logistic regression model on the prediction of 2-year vocational outcomes yielded an AUC of 0.759 (SE = 0.016, p-value 
    Matched MeSH terms: Unemployment/statistics & numerical data*
  4. Mohd Azizi FS, Kew Y, Moy FM
    Vaccine, 2017 05 19;35(22):2955-2961.
    PMID: 28434687 DOI: 10.1016/j.vaccine.2017.04.010
    BACKGROUND: Vaccine hesitancy is a threat in combating vaccine-preventable diseases. It has been studied extensively in the Western countries but not so among Asian countries.

    OBJECTIVES: To assess the test-retest reliability of the Parent Attitudes about Childhood Vaccines (PACV) questionnaire in Malay language; to determine the prevalence of vaccine hesitancy among parents and its associations with parents' socio-demographic characteristics.

    METHODS: Forward and backward translation of PACV in Malay language was carried out. The reliability of the Malay-PACV questionnaire was tested among parents with children. The same questionnaire was used to study vaccine hesitancy among parents in a tertiary hospital in Kuala Lumpur. Information pertaining to socio-demographic characteristics, sources of information regarding vaccination and vaccine hesitancy were collected. Associations between vaccine hesitancy with socio-demographic factors were tested using Multivariable Logistic Regression.

    RESULTS: The Spearman correlation coefficient and Cronbach alpha for total PACV was 0.79 (p<0.001) and 0.79 respectively. The intra-class correlation coefficients of the subscales ranged from 0.54 to 0.90 demonstrating fair to excellent reliability. A total of 63 (11.6%) parents were noted to be vaccine hesitant. In the univariate analyses, vaccine hesitancy was associated with unemployed parents, parents who were younger, had fewer children and non-Muslim. In the multivariate model, pregnant mothers expecting their first child were four times more likely to be vaccine hesitant compared to those who already had one or more children (aOR: 3.91, 95% CI: 1.74-8.79) and unemployed parents were also more likely to be vaccine hesitant (aOR: 1.97, 95% CI: 1.08-3.59). The internet (65.6%) was the main source of information on vaccination followed by brochures (56.9%).

    CONCLUSION: The Malay-PACV questionnaire is reliable to be used. The prevalence of vaccine hesitancy among the multi-ethnic Malaysians was comparable with other populations. Pregnant mothers expecting their first child and unemployed parents were found to be more vaccine hesitant.

    Matched MeSH terms: Unemployment/psychology
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