The data were computerized using Epidata 3.1 and analyzed using R software version 2.9.1 (The R Foundation for Statistical Computing 2008, Austria). The total daily intake of macronutrients and micronutrients was described using means and quartiles. Percentage of RDA (the actual quantities of nutrients divided by the RDA levels multiplied by 100) and percentage of inadequacy were computed. Logistic regression models using backward stepwise selection were fit to the data to estimate the effect of individual and community level factors onnutrient intake. The results were shown as odds ratios with 95% confidence intervals (95% CI). Statistical significance was considered for p values less than 0.05.District CharacteristicsTable 1 shows the community characteristics in eachstudy district in 2008. Ra-Ngae had the highest population while Chi-Irong had the highest population density.Ra-Ngae district had the highest average householdincome and violence rate compared to the other districts. The districts with a high violence rate (per100,000 population) also had high injury and deathrates. The most common violent events were bombblasts and shootings.Participant characteristicsOf 462 eligible women approached, 400 (86.5%) consented to participate in the study. Individual characteristics of these participants are presented in Table 2.Approximately one-third of participants were agedbetween 25 and 29 years. Half of them were housewivesand had completed secondary school. The majority wereMuslim and were in poor economic status with monthlyincome lower than 156 USD. Underweight (BMI <18.5kg/m2) was detected in 16.8% of the participants.Characteristics of nutrients intakesTable 3 describes nutrient intake among the participantscompared to the Thai RDA. Carbohydrate, protein, fat,calories, calcium, phosphorus, iron, thiamine, riboflavin,retinol, niacin, vitamin C, folic acid and iodine inadequacy was 86.8%, 59.2%, 78.0%, 83.5%, 55.0%, 29.5%,45.2%, 85.0%, 19.2%, 3.8%, 43.2%, 0.8%, 0.0% and 0.8%
การแปล กรุณารอสักครู่..
