Next, we extend the analysis by employing a Probit estimation, that models obesity as a function demographic, socioeconomic and lifestyle-related factors. This model explores the factors influencing the prevalence of overweight and obesity among urban children, using truncated data limited to only urban parents/heads of households. We model obesity as a function demographic, socioeconomic and lifestyle-related factors, based on the following general equation:
O_i=α+ Σ_(j=1)^4 〖β_j DF〗_i+ Σ_(j=1)^3 〖ρ_j SOE〗_i+ 〖〖Σ_(j=1)^3 δ〗_j LFS〗_(i ) +ε_i 1.3 1
where: - The dependent variable, O is proxied by either overweight or obese child, constructed as follows: 1: if the urban child is overweight, 0 otherwise; or 1: if the urban child is obese, …show more content…
The presence of health risk factor is established based on three risks – diabetes, hypertension and high cholesterol. If the HOH has at least one of these risks, he is considered to have health risk (1 for yes, 0 otherwise). The balanced diet variable is built from two dummy variables –whether or not respondent eats adequate fruits and vegetables. Based on the Malaysian Dietary Guideline, if the respondent has at least two servings of fruits and three servings of vegetables, its considered adequate. The final LFS factor is the BMI adult variable, which is a categorical – (1) Underweight -less than 18Kg/M2; (1) Normal -between 18 and 24.9 Kg/M2; (3) Overweight – between 25 and 29.9 Kg/M2; (4) Obese – more than 30 Kg/M2. We expect the HOH who are overweight/obese, with more health risks and poor dietary habits will likely be positively correlated with the number of overweight and obese children. The Probit analysis is executed using the STATA Statistical …show more content…
Most respondents are Malays (58.3%), followed by Chinese and Indians at 20.5% and 9.1% respectively. About 47.3% of the respondents are married while 24.1% are single. Common family size appears to be between two and six members. The socioeconomic variables consist of income groups, education and occupation. For the income groups, we refer to households within the Bottom40, poverty line index (PLI) and the urban vulnerable groups (UVG) income thresholds. Based on Table 1.4 1, we can infer that 54.3% of the total urban population is in the B40 category while 39% live below the PLI and 21.4% fall under the UVG. The national PLI threshold referred to in this paper is RM950/month and households under the UVG earn between the PLI and 2.5 times the PLI
O_i=α+ Σ_(j=1)^4 〖β_j DF〗_i+ Σ_(j=1)^3 〖ρ_j SOE〗_i+ 〖〖Σ_(j=1)^3 δ〗_j LFS〗_(i ) +ε_i 1.3 1
where: - The dependent variable, O is proxied by either overweight or obese child, constructed as follows: 1: if the urban child is overweight, 0 otherwise; or 1: if the urban child is obese, …show more content…
The presence of health risk factor is established based on three risks – diabetes, hypertension and high cholesterol. If the HOH has at least one of these risks, he is considered to have health risk (1 for yes, 0 otherwise). The balanced diet variable is built from two dummy variables –whether or not respondent eats adequate fruits and vegetables. Based on the Malaysian Dietary Guideline, if the respondent has at least two servings of fruits and three servings of vegetables, its considered adequate. The final LFS factor is the BMI adult variable, which is a categorical – (1) Underweight -less than 18Kg/M2; (1) Normal -between 18 and 24.9 Kg/M2; (3) Overweight – between 25 and 29.9 Kg/M2; (4) Obese – more than 30 Kg/M2. We expect the HOH who are overweight/obese, with more health risks and poor dietary habits will likely be positively correlated with the number of overweight and obese children. The Probit analysis is executed using the STATA Statistical …show more content…
Most respondents are Malays (58.3%), followed by Chinese and Indians at 20.5% and 9.1% respectively. About 47.3% of the respondents are married while 24.1% are single. Common family size appears to be between two and six members. The socioeconomic variables consist of income groups, education and occupation. For the income groups, we refer to households within the Bottom40, poverty line index (PLI) and the urban vulnerable groups (UVG) income thresholds. Based on Table 1.4 1, we can infer that 54.3% of the total urban population is in the B40 category while 39% live below the PLI and 21.4% fall under the UVG. The national PLI threshold referred to in this paper is RM950/month and households under the UVG earn between the PLI and 2.5 times the PLI