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  1. Gan WY, Sulaiman N, Law LS, Zalbahar N, Ahmad Fuzi SF, Wilkes MA
    PMID: 31947907 DOI: 10.3390/ijerph17010348
    Access to food has been determined to be a factor that strongly influences the dietary intake and eating habit of indigenous people (Orang Asli, OA). This study explored food acquisition and the barriers in obtaining traditional and market foods among the Jahai subtribe (within the Negrito ethnic group) via a qualitative approach. Twenty-eight OA (14 males and 14 females) from Gerik, Perak, Malaysia participated in four focus group discussions (FGDs; two male-only and two female-only groups; seven informants in each FGD). Thematic analysis was adopted to analyse the gathered data. The results found that the Jahai applied both modern (buying and receiving food assistance) and traditional (gathering, farming, fishing, and hunting) methods in obtaining food. The barriers they faced in gathering sufficient food supply included low purchasing power, high demand for food, high transport costs, depletion of food supplies in their surroundings, threats from wild animals on the farm and during food searching activities, and food sharing. Food preparation methods practiced by the OA include roasting and grilling, frying, simmering (gulai), and boiling. In conclusion, this study enhances our understanding of the dietary behaviour of the Jahai subtribe and highlights restricted food access among the OA, which demands urgent attention.
    Matched MeSH terms: Cooking/statistics & numerical data*
  2. Sansuddin N, Ramli NA, Yahaya AS, Yusof NF, Ghazali NA, Madhoun WA
    Environ Monit Assess, 2011 Sep;180(1-4):573-88.
    PMID: 21136287 DOI: 10.1007/s10661-010-1806-8
    Malaysia has experienced several haze events since the 1980s as a consequence of the transboundary movement of air pollutants emitted from forest fires and open burning activities. Hazy episodes can result from local activities and be categorized as "localized haze". General probability distributions (i.e., gamma and log-normal) were chosen to analyze the PM(10) concentrations data at two different types of locations in Malaysia: industrial (Johor Bahru and Nilai) and residential (Kota Kinabalu and Kuantan). These areas were chosen based on their frequently high PM(10) concentration readings. The best models representing the areas were chosen based on their performance indicator values. The best distributions provided the probability of exceedances and the return period between the actual and predicted concentrations based on the threshold limit given by the Malaysian Ambient Air Quality Guidelines (24-h average of 150 μg/m(3)) for PM(10) concentrations. The short-term prediction for PM(10) exceedances in 14 days was obtained using the autoregressive model.
    Matched MeSH terms: Cooking/statistics & numerical data
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