Displaying publications 21 - 26 of 26 in total

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  1. Amin L, Azad MA, Gausmian MH, Zulkifli F
    PLoS One, 2014;9(1):e86174.
    PMID: 24489695 DOI: 10.1371/journal.pone.0086174
    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.
    Matched MeSH terms: Food Labeling
  2. Teh T, Dougherty MP, Camire ME
    J Food Sci, 2007 Sep;72(7):S516-21.
    PMID: 17995666
    Acceptance of healthful foods by consumers is not yet well understood. In this study, 3 formulations of frozen dessert bars were prepared containing both soy and wild blueberries. Soy content was controlled to provide an amount of soy protein that qualified for the health claim for soy and reduced risks for cardiovascular disease. Consumers were asked to complete the Health and Taste Attitude Scales (HTAS) and then evaluate the acceptability of the 3 frozen bar types using a 9-point hedonic scale. One week after the 1st session, the participants returned. Approximately half were given information to read regarding the health benefits of soy protein, the other participants were given no information. The samples were then presented a 2nd time and labeled with their soy protein content. Changes in hedonic scores between sessions were compared and correlated with HTAS ratings. Nutrition information generally did not affect acceptability scores.
    Matched MeSH terms: Food Labeling
  3. Rashidah Ambak, Balkish Mahadir Naidu, Mohd Azahadi Omar, Nor Azian Mohd Zaki, Syafinaz Mohd Sallehuddin, Tahir Aris
    Int J Public Health Res, 2014;4(2):449-456.
    MyJurnal
    Introduction Food labeling regulation has been implemented to enable consumers, including those with chronic diseases to make healthy informed choices before purchasing pre-packaged foods. The purpose of this study is to determine the prevalence of obese adults in Malaysia who practice reading food labels. It explored types of labels read and understanding of the information.
    Methods Findings presented in this study were captured from the secondary analysis of National Health and Morbidity Survey’s (NHMS, 2006) food label study which focused only on obese adults (BMI > 30 kg/m2) aged 18 and above. This nation-wide cross sectional study was conducted from April to August 2006 using an interview-based questionnaire. Complex data analysis was done using Stata version 12.0.
    Results There were 4565 obese respondents with the mean age of 33 ± 9.7 (18-60 years old). About 54.7% completed high-school and 9.9% were higher degree
    holders. Prevalence of obese adults who claimed to read label was 80.5% (95%CI: 79.3, 81.6). Findings showed significant results in reading and understanding labels among all age group categories, Malay, Indian and other Bumiputras, all education categories and married respondents. Expiry date was the highest percentage being read (74.5%), followed by fat content (15.3%), vitamin (11.8%) and carbohydrate (10.9%).
    Conclusions The obese population in Malaysia claimed to read and understand the food label but did not focus on specific macronutrients related to their health
    condition. Findings can be used to implement effective education programmes targeting the relevant groups to instill an awareness to read, understand and use the label information as one of the means in combating obesity.
    Study name: National Health and Morbidity Survey (NHMS-2006)
    Matched MeSH terms: Food Labeling
  4. Babji, A.S., Ghassem, M., Hong, P.K., Maizatul, S.M.S.
    ASM Science Journal, 2012;6(2):144-147.
    MyJurnal
    Research and development trends will continue to design innovative composite foods in which muscle proteins are combined with non-conventional animal products, non-meat proteins and functional food additives, many of which have lost their original inherent properties and characteristics. Composite food are products with meat, non-meat proteins, fats, carbohydrates and functional ingredients such as pre-emulsion, probiotics, enzymes, bioactives, peptides, hormones, emulsifiers, gelatin, animal fats/oils, alcohol and visceral tissues. Traceability of halal meat raw materials should start at the point of animal breeding, production to the stage of halal slaughter, processing operations and final point of consumption. Traceability of food additives used in the food industry remains a major hurdle for the Muslim community seeking halal food. The processes and technological advancements made in raw material processing, ingredient extractions, modifications, purification and resynthesized into many food ingredients make the question of traceability and solving of the materials and processes that are halal a monumental task. Food is only halal if the entire food chain from farm to table, is processed, handled and stored in accordance with the syariah and/or halal standards or guidelines, such as in the Jabatan Kemajuan Islam Malaysia (JAKIM): General guidelines, Malaysia Standards MS 1500:2009 and Codex Alimentarius (Food Labeling). Here lies the challenge and importance of traceability to verify the ‘wholesomeness’ of the sources of halal raw materials and final meat-based food products.
    Matched MeSH terms: Food Labeling
  5. Ng S, Swinburn B, Kelly B, Vandevijvere S, Yeatman H, Ismail MN, et al.
    Public Health Nutr, 2018 Dec;21(18):3395-3406.
    PMID: 30277185 DOI: 10.1017/S1368980018002379
    OBJECTIVE: To determine the degree of food environment policies that have been implemented and supported by the Malaysian Government, in comparison to international best practice, and to establish prioritised recommendations for the government based on the identified implementation gaps.

    DESIGN: The Healthy Food-Environment Policy Index (Food-EPI) comprises forty-seven indicators of government policy practice. Local evidence of each indicator was compiled from government institutions and verified by related government stakeholders. The extent of implementation of the policies was rated by experts against international best practices. Rating results were used to identify and propose policy actions which were subsequently prioritised by the experts based on 'importance' and 'achievability' criteria. The policy actions with relatively higher 'achievability' and 'importance' were set as priority recommendations for government action.

    SETTING: Malaysia.

    SUBJECTS: Twenty-six local experts.

    RESULTS: Majority (62 %) of indicators was rated 'low' implementation with no indicator rated as either 'high' or 'very little, if any' in terms of implementation. The top five recommendations were (i) restrict unhealthy food marketing in children's settings and (ii) on broadcast media; (iii) mandatory nutrition labelling for added sugars; (iv) designation of priority research areas related to obesity prevention and diet-related non-communicable diseases; and (v) introduce energy labelling on menu boards for fast-food outlets.

    CONCLUSIONS: This first policy study conducted in Malaysia identified a number of gaps in implementation of key policies to promote healthy food environments, compared with international best practices. Study findings could strengthen civil society advocacies for government accountability to create a healthier food environment.

    Matched MeSH terms: Food Labeling
  6. Deschasaux M, Huybrechts I, Murphy N, Julia C, Hercberg S, Srour B, et al.
    PLoS Med, 2018 Sep;15(9):e1002651.
    PMID: 30226842 DOI: 10.1371/journal.pmed.1002651
    BACKGROUND: Helping consumers make healthier food choices is a key issue for the prevention of cancer and other diseases. In many countries, political authorities are considering the implementation of a simplified labelling system to reflect the nutritional quality of food products. The Nutri-Score, a five-colour nutrition label, is derived from the Nutrient Profiling System of the British Food Standards Agency (modified version) (FSAm-NPS). How the consumption of foods with high/low FSAm-NPS relates to cancer risk has been studied in national/regional cohorts but has not been characterized in diverse European populations.

    METHODS AND FINDINGS: This prospective analysis included 471,495 adults from the European Prospective Investigation into Cancer and Nutrition (EPIC, 1992-2014, median follow-up: 15.3 y), among whom there were 49,794 incident cancer cases (main locations: breast, n = 12,063; prostate, n = 6,745; colon-rectum, n = 5,806). Usual food intakes were assessed with standardized country-specific diet assessment methods. The FSAm-NPS was calculated for each food/beverage using their 100-g content in energy, sugar, saturated fatty acid, sodium, fibres, proteins, and fruits/vegetables/legumes/nuts. The FSAm-NPS scores of all food items usually consumed by a participant were averaged to obtain the individual FSAm-NPS Dietary Index (DI) scores. Multi-adjusted Cox proportional hazards models were computed. A higher FSAm-NPS DI score, reflecting a lower nutritional quality of the food consumed, was associated with a higher risk of total cancer (HRQ5 versus Q1 = 1.07; 95% CI 1.03-1.10, P-trend < 0.001). Absolute cancer rates in those with high and low (quintiles 5 and 1) FSAm-NPS DI scores were 81.4 and 69.5 cases/10,000 person-years, respectively. Higher FSAm-NPS DI scores were specifically associated with higher risks of cancers of the colon-rectum, upper aerodigestive tract and stomach, lung for men, and liver and postmenopausal breast for women (all P < 0.05). The main study limitation is that it was based on an observational cohort using self-reported dietary data obtained through a single baseline food frequency questionnaire; thus, exposure misclassification and residual confounding cannot be ruled out.

    CONCLUSIONS: In this large multinational European cohort, the consumption of food products with a higher FSAm-NPS score (lower nutritional quality) was associated with a higher risk of cancer. This supports the relevance of the FSAm-NPS as underlying nutrient profiling system for front-of-pack nutrition labels, as well as for other public health nutritional measures.

    Matched MeSH terms: Food Labeling
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