AIMS: This study aims to develop and evaluate the effectiveness of the safety and health programme TRIMOSH (Theory-Based Intervention Module on Occupational Safety and Health) in improving the knowledge, attitude, and practice among food industry workers.
METHODS: TRIMOSH intervention study is a two-arm randomised, single-blinded, controlled, parallel trial that will be conducted among food industry workers in Selangor, Malaysia. In a partnership with Food Handler Training Schools in Selangor, 10 pairs of Food Handler Training Schools with 12 participants per group (n = 240) will be recruited for balanced randomisation intervention and control conditions. Furthermore, data collection of all participants was conducted at four time points: baseline (T0), immediately (T1), one month (T2), and three months (T3) post-intervention. Generalised Linear Mixed Model (GLMM) will be conducted to determine the effects of intervention within and between study groups. Subsequently, the primary outcomes increase the knowledge, attitude, and practice (KAP) of safety and health at food premises. Clinical Trial Registry registration was approved by the ClinicalTrials.gov committee on October 2022 with the ClinicalTrials.gov Identifier: NCT05571995. This study has also been approved by the Ethics Committee for Research Involving Human Subjects of Universiti Putra Malaysia (JKEUPM-2022-346). All participants are required to provide consent prior to participation.
CONCLUSIONS: The characteristics of the respondents are expected to show no difference between the groups. It is hypothesised that TRIMOSH is effective in improving the knowledge, attitude, and practices of food industry workers in Selangor. The results will be reported and presented in international peer-reviewed journals, conferences, and other platforms. In addition, the TRIMOSH programme will be offered at the national level by the relevant authorities for the benefit of food industry workers.
METHODS: This study addressed communities of urban and rural Malaysia, including adults aged between 35 and 70 years old at the baseline recruitment. A series of standardised questionnaires were used to assess legume intake, history of comorbidities and socio-demographic information. Resting blood pressure measurements and physical examinations were performed to collect blood pressure and anthropometric data. Bivariate analysis was completed to determine the association between legume intake, socio-demographic characteristics and CVD prevalence. Moderation analysis was used to quantify the moderation effect of minimum daily legume intake on the relationship between BMI and CVD prevalence.
RESULTS: This study found that those who consume less than 3 servings of legumes per day benefit from protective effects against CVD risk (POR = 0.56, 95% CI = 0.37 - 0.85). Moderation analysis of a minimum of three servings/day for the relationship between BMI and CVD prevalence showed significant effects. The group that benefited the most from this effect was those with a BMI in the range of 26 to 34 kg/m2.
CONCLUSIONS: This study provides new insights into the recommendation for legume intake according to the relationship between BMI and the prevalence of CVD in Malaysian adults. This study recommends that those with a BMI of 26 to 34 kg/m2 should consume at least 3 servings of legumes per day to reduce the risk of CVD. Further prospective research is warranted to affirm these findings throughout the Malaysian population.
METHODOLOGY: This study was a part of the Prospective Urban Rural Epidemiology (PURE) study carried out among adults aged between 35 to 70 years old residing in urban and rural Malaysian communities. A standardised questionnaire was used to assess the socio-demographic information and physical activity level of respondents who provided written informed consent to participate in this study. HGS was measured using Jamar's dynamometer. A total of 3,446 healthy adults of Malay ethnic were included in this study. Descriptive data were used to derive the normative reference values for HGS using means and standard deviations stratified by age and gender. The predictors of HGS were determined using a general linear model (GLM).
RESULTS: Mean HGS ranged from 38.48 (± 9.40) kg for the dominant hand of men aged 35-40 years to 16.53 (± 5.69) kg for the non-dominant hand of women aged 61-70 years. The ANOVA indicated that there was a significant descending trend of HGS as age increased for both genders (p
METHODS: A cross-sectional study involving 7585 adults was performed covering the rural and urban areas. Respondents with systolic blood pressure (SBP) of 120-139 mmHg and/or diastolic blood pressure (DBP) of 80-89 mmHg were categorized as prehypertensive, and hypertensive categorization was used for respondents with an SBP of ≥140 mmHg and/or DBP of ≥90 mmHg.
RESULTS: Respondents reported to have prehypertension and hypertension were 40.7% and 38.0%, respectively. Those residing in a rural area, older age, male, family history of hypertension, and overweight or obese were associated with higher odds of prehypertension and hypertension. Unique to hypertension, the factors included low educational level (AOR: 1.349; 95% CI: 1.146, 1.588), unemployment (1.350; 1.16, 1.572), comorbidity of diabetes (1.474; 1.178, 1.844), and inadequate fruit consumption (1.253; 1.094, 1.436).
CONCLUSIONS: As the prehypertensive state may affect the prevalence of hypertension, proactive strategies are needed to increase early detection of the disease among specific group of those residing in a rural area, older age, male, family history of hypertension, and overweight or obese.
OBJECTIVE: To demonstrate Malaysia's experience in implementing ICD-11, from data collection to downstream data use applications.
METHOD AND IMPLEMENTATION: We describe improvements to existing data source systems and downstream data applications. For non-HIS and HIS (ICD-10) systems, data were manually entered into the health management information system equipped with ICD-11 or automatically mapped from ICD-10 to ICD-11. Following these system improvements, we collected and reported ICD-11 data from all hospitals nationwide, regardless of the individual systems' status in ICD-11 use.
DISCUSSION: Lessons learnt related to legacy systems; ICD-11 releases and system updates; mapping; reporting; human resources and related applications.
CONCLUSION: With careful planning, standardisation of the collection and use of ICD-11 data can be accomplished with limited resources and in a complex environment with heterogeneous systems.
IMPLICATIONS: Use of ICD-11 data in downstream data applications improves data quality to answer specific business or research questions.
METHODS: A cross-sectional study was conducted among the adult population aged 35-70 residing in rural and urban areas in Malaysia. Depressive symptoms were assessed using the short form Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DSM-IV) Composite International Diagnostic Interview (CIDI) questionnaire. Logistic regression models were fitted to identify the associated factors related to depressive symptoms.
RESULTS: About 3.7 % (95 % CI: 2.33-4.83) of the respondents reported having depressive symptoms. Younger adults aged 35-40 years old (AOR: 3.087; 95 % CI: 2.021-4.717), females (AOR: 2.318; 95 % CI: 1.669-3.219), widows and divorcees (AOR: 2.294; 95 % CI: 1.085-4.848), smokers (AOR: 1.843; 95 % CI: 1.334-2.545) and alcohol consumers (AOR: 1.843; 95 % CI: 1.264-2.688) showed a higher odds compared to their other counterparts. Underweight individuals (AOR: 1.899; 95 % CI: 1.177-3.065) and those diagnosed either with hypertension (AOR: 1.442; 95 % CI: 1.11-1.873), diabetes (AOR: 1.554; 95 % CI: 1.133-2.13), angina (AOR: 2.73; 95 % CI: 1.596-4.67), COPD (AOR: 4.187; 95 % CI: 1.528-11.472) or asthma (AOR: 1.906; 95 % CI: 1.309-2.774) were more likely to have depressive symptoms. Additionally, individuals with difficulty trusting people (AOR: 1.477; 95 % CI: 1.024-2.13) and those reported to experience either home or work-related stress (AOR: 2.584; 95 % CI: 2.003-3.331) were more prone to have depressive symptoms.
CONCLUSION: In this broad population-based study, about 3.7 % (95 % CI: 2.33-4.83) of respondents reported having depressive symptoms. Timely and well targeted collaborative intervention on the identified risk factors by the relevant authorities, would mitigate their effect on the quality of life and retard the progression into depression, especially among younger adults.