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Objectives: This paper examines the ethnic and gender differentials in high blood pressure (HBP), diabetes, coronary heart disease (CHD), arthritis and asthma among older people in Malaysia, and how these diseases along with other factors affect self-rated health. Differentials in the prevalence of non-communicable diseases among older people are examined in the context of socio-cultural perspectives in multi-ethnic Malaysia. Methods: Data for this paper are obtained from the 2004 Malaysian Population and Family Survey. The survey covered a nationally representative sample of 3,406 persons aged 50 and over, comprising three main ethnic groups (Malays, Chinese and Indians) and all other indigenous groups. Bivariate analyses and hierarchical logistic regression were used in the analyses. Results: Arthritis was the most common non-communicable disease (NCD), followed by HBP, diabetes, asthma and CHD. Older females were more likely than males to have arthritis and HBP, but males were more likely to have asthma. Diabetes and CHD were most prevalent among Indians, while arthritis and HBP were most prevalent among the Indigenous groups. Older people were more likely to report poor health if they suffered from NCD, especially CHD. Controlling for socio-economic, health and lifestyle factors, Chinese were least likely to report poor health, whereas Indians and Indigenous people were more likely to do so. Chinese that had HBP were more likely to report poor health compared to other ethnic groups with the same disease. Among those with arthritis, Indians were more likely to report poor health. Conclusion: Perceived health status and prevalence of arthritis, HBP, diabetes, asthma and CHD varied widely across ethnic groups. Promotion of healthy lifestyle, early detection and timely intervention of NCDs affecting different ethnic groups and gender with socio-cultural orientations would go a long way in alleviating the debilitating effects of the common NCDs among older people. [ABSTRACT FROM AUTHOR]

The objective of this paper is to assess the attitude of Malaysian stakeholders to genetically modified (GM) salmon and to identify the factors that influence their acceptance of GM salmon using a structural equation model. A survey was carried out on 434 representatives from various stakeholder groups in the Klang Valley region of Malaysia. Public attitude towards GM salmon was measured using self-developed questionnaires with seven-point Likert scales. The findings of this study have confirmed that public attitudes towards GM salmon is a complex issue and should be seen as a multi-faceted process. The most important direct predictors for the encouragement of GM salmon are the specific application-linked perceptions about religious acceptability of GM salmon followed by perceived risks and benefits, familiarity, and general promise of modern biotechnology. Encouragement of GM salmon also involves the interplay among other factors such as general concerns of biotechnology, threatening the natural order of things, the need for labeling, the need for patenting, confidence in regulation, and societal values. The research findings can serve as a database that will be useful for understanding the social construct of public attitude towards GM foods in a developing country. [ABSTRACT FROM AUTHOR]

The Water-associated Disease Index (WADI) was developed to identify and visualize vulnerability to different water-associated diseases by integrating a range of social and biophysical determinants in map format. In this study vulnerability is used to encompass conditions of exposure, susceptibility, and differential coping capacity to a water-associated health hazard. By assessing these conditions, the tool is designed to provide stakeholders with an integrated and long-term understanding of subnational vulnerabilities to water-associated disease and contribute to intervention strategies to reduce the burden of illness. The objective of this paper is to describe and validate the WADI tool by applying it to dengue. A systemic ecohealth framework that considers links between people, the environment and health was applied to identify secondary datasets, populating the index with components including climate conditions, land cover, education status and water use practices. Data were aggregated to create composite indicators of exposure and of susceptibility in a Geographic Information System (GIS). These indicators were weighted by their contribution to dengue vulnerability, and the output consisted of an overall index visualized in map format. The WADI was validated in this Malaysia case study, demonstrating a significant association with dengue rates at a sub-national level, and illustrating a range of factors that drive vulnerability to the disease within the country. The index output indicated high vulnerability to dengue in urban areas, especially in the capital Kuala Lumpur and surrounding region. However, in other regions, vulnerability to dengue varied throughout the year due to the influence of seasonal climate conditions, such as monsoon patterns. The WADI tool complements early warning models for water-associated disease by providing upstream information for planning prevention and control approaches, which increasingly require a comprehensive and geographically broad understanding of vulnerability for implementation. [ABSTRACT FROM AUTHOR]

Objective: The study aims to evaluate the predictors of non-prescription medicine purchasing patterns among pharmacy patrons in Malaysia. Methods: A cross-sectional nationwide study was undertaken in 2011 in sixty randomly selected community pharmacies across 14 Malaysian states. A pharmacy exit survey was conducted over a 6-month period across Malaysia. A one-stage random cluster sampling technique was employed as there was no national sampling framework available for conducting this survey. Face-to-face interviews using a validated and pre-tested questionnaire were conducted by trained data collectors. The non-prescription medicine purchasing pattern was explored and analysed descriptively. Chi-square/Fisher exact test was used to determine the association between study variables. Multinomial logistic regression analysis was used to determine the predictors of type of non-prescription medicine purchased. Results: A total of 2729 pharmacy patrons agreed to participate in 60 selected pharmacy outlets. A total of 3462 non-prescription medicine were purchased during the study period with an average of 1.3 medicines per participant. Most of the non-prescription medicine purchased was meant for alimentary tract and metabolism (31.8%), followed by respiratory system (19.4%) and musculoskeletal system (15.8%) usage. Factors found to be associated with the choice of non-prescription medicine purchased were age group [χ2 = 170.75, (df = 57), p<0.01], locality [χ2 = 48.16, (df = 19), p<0.01], gender [χ2 = 32.93, (df = 13), p = 0.002], ethnic group [χ2 = 118.89, (df = 39), p<0.01] and type of occupation [χ2 = 222.434, (df = 117), p<0.01]. Non-prescription medicine purchased defined about 20% of the variance in the combination of predictors such as locality, gender, age, ethnicity, type of occupation and household income. Conclusion: The predictors for selection of non-prescription medicine were locality (urban or rural), gender, age, ethnicity, type of occupation and household income per month. Future studies need to explore the safety and effectiveness of using these non-prescription medicines. [ABSTRACT FROM AUTHOR]