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1.
International e-Journal of Science, Medicine and Education ; : S61-S68, 2012.
Article in English | WPRIM | ID: wpr-629282

ABSTRACT

It is estimated that more than 1.1 billion adults and 115 million children worldwide are overweight. In Malaysia, the second and third National Health and Morbidity Surveys in 1996 and 2006 respectively reported a three-fold increase in obesity prevalence among adults, surging from 4.4% to 14% over the 10-year period. Evidence of rising childhood obesity has also emerged. The aim of this article is to gather evidence from food availability data for an insight into population shifts in dietary patterns that may help explain the rising obesity in this country. The nutrition transition was delineated in conjunction with the epidemiologic transition in order to explain the convergence of dietary practices, and the high prevalence of obesity and diet-related non-communicable diseases worldwide. The Food Balance Sheets for Malaysia from 1967 to 2007 were used to provide estimates and trends for the availability of foods and calories. Evidence is generated that indicate at least two major upward shifts in the dietary patterns in Malaysia in the past 4 decades. These shifts have led to the rising availability of calories from animal products, and from sugar and sweeteners. These major dietary shifts, together with increased sedentariness, constitute core public health challenges faced in addressing the country’s obesity and noncommunicable diseases (NCD) conundrum.

2.
Nutrition Research and Practice ; : 85-92, 2008.
Article in English | WPRIM | ID: wpr-48003

ABSTRACT

The present study was conducted to develop a Multi-dimensional Body Image Scale for Malaysian female adolescents. Data were collected among 328 female adolescents from a secondary school in Kuantan district, state of Pahang, Malaysia by using a self-administered questionnaire and anthropometric measurements. The self-administered questionnaire comprised multiple measures of body image, Eating Attitude Test (EAT-26; Garner & Garfinkel, 1979) and Rosenberg Self-esteem Inventory (Rosenberg, 1965). The 152 items from selected multiple measures of body image were examined through factor analysis and for internal consistency. Correlations between Multi-dimensional Body Image Scale and body mass index (BMI), risk of eating disorders and self-esteem were assessed for construct validity. A seven factor model of a 62-item Multi-dimensional Body Image Scale for Malaysian female adolescents with construct validity and good internal consistency was developed. The scale encompasses 1) preoccupation with thinness and dieting behavior, 2) appearance and body satisfaction, 3) body importance, 4) muscle increasing behavior, 5) extreme dieting behavior, 6) appearance importance, and 7) perception of size and shape dimensions. Besides, a multidimensional body image composite score was proposed to screen negative body image risk in female adolescents. The result found body image was correlated with BMI, risk of eating disorders and self-esteem in female adolescents. In short, the present study supports a multi-dimensional concept for body image and provides a new insight into its multi-dimensionality in Malaysian female adolescents with preliminary validity and reliability of the scale. The Multi-dimensional Body Image Scale can be used to identify female adolescents who are potentially at risk of developing body image disturbance through future intervention programs.


Subject(s)
Adolescent , Female , Humans , Body Image , Body Mass Index , Diet , Eating , Feeding and Eating Disorders , Factor Analysis, Statistical , Malaysia , Muscles , Surveys and Questionnaires , Reproducibility of Results , Thinness
3.
Nutrition Research and Practice ; : 26-34, 2008.
Article in English | WPRIM | ID: wpr-128304

ABSTRACT

This cross-sectional study assessed household food insecurity among low-income rural communities and examined its association with demographic and socioeconomic factors as well as coping strategies to minimize food insecurity. Demographic, socioeconomic, expenditure and coping strategy data were collected from 200 women of poor households in a rural community in Malaysia. Households were categorized as either food secure (n=84) or food insecure (n=116) using the Radimer/Cornell Hunger and Food Insecurity instrument. T-test, Chi-square and logistic regression were utilized for comparison of factors between food secure and food insecure households and determination of factors associated with household food insecurity, respectively. More of the food insecure households were living below the poverty line, had a larger household size, more children and school-going children and mothers as housewives. As food insecure households had more school-going children, reducing expenditures on the children's education is an important strategy to reduce household expenditures. Borrowing money to buy foods, receiving foods from family members, relatives and neighbors and reducing the number of meals seemed to cushion the food insecure households from experiencing food insufficiency. Most of the food insecure households adopted the strategy on cooking whatever is available at home for their meals. The logistic regression model indicates that food insecure households were likely to have more children (OR=1.71; p<0.05) and non-working mothers (OR=6.15; p<0.05), did not own any land (OR=3.18; p<0.05) and adopted the strategy of food preparation based on whatever is available at their homes (OR=4.33; p<0.05). However, mothers who reported to borrow money to purchase food (OR=0.84; p<0.05) and households with higher incomes of fathers (OR=0.99; p<0.05) were more likely to be food secure. Understanding the factors that contribute to household food insecurity is imperative so that effective strategies could be developed and implemented.


Subject(s)
Child , Female , Humans , Cooking , Cross-Sectional Studies , Family Characteristics , Fathers , Food Supply , Health Expenditures , Hunger , Logistic Models , Malaysia , Meals , Mothers , Poverty , Rural Population , Socioeconomic Factors
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