Abstract
<p class="MsoBodyTextIndent" style="margin: 0cm 12.7pt .0001pt 14.2pt; text-indent: 21.25pt; line-height: normal;"><span style="font-size: 10pt;" lang="en-us" xml:lang="en-us">The<strong> </strong></span><span style="font-size: 10pt;" lang="sv" xml:lang="sv">objectives of this research </span><span style="font-size: 10pt;">w</span><span style="font-size: 10pt;" lang="en-us" xml:lang="en-us">as</span><span style="font-size: 10pt;" lang="sv" xml:lang="sv"> to study social economy and body mass index of </span><span style="font-size: 10pt;">men</span><span style="font-size: 10pt;" lang="en-us" xml:lang="en-us"> and</span><span style="font-size: 10pt;" lang="sv" xml:lang="sv">it’s </span><span style="font-size: 10pt;">correlation</span><span style="font-size: 10pt;" lang="sv" xml:lang="sv"> with </span><span style="font-size: 10pt;">risk factor of coronary </span><span style="font-size: 10pt;" lang="sv" xml:lang="sv">heart disease in rural and urban of Bogor, West Java. The amount of samples </span><span style="font-size: 10pt;">were</span><span style="font-size: 10pt;" lang="sv" xml:lang="sv"> 100 adult men aged 25-39 of years. Samples were devided into two categories of expense which as &lt; Rp 500.000/capita/month (low income) and </span><span style="font-size: 10pt; font-family: Symbol;" lang="sv" xml:lang="sv">³</span><span style="font-size: 10pt;" lang="sv" xml:lang="sv"> Rp 500.000/cap/month,- (high income). </span><span style="font-size: 10pt;">Results of this study showed that </span><span style="font-size: 10pt;" lang="en-us" xml:lang="en-us">using independent t-test there was a significant difference between low income and high income samples in rural area in the case of family size, education level, income per capita, total expenditure, nutritional knowledge score and HDL cholesterol </span><span style="font-size: 10pt;">level</span><span style="font-size: 10pt;" lang="en-us" xml:lang="en-us">. In urban area, we found significance difference in the case of family size, education level, income per capita, total expenditure, total cholesterol level, LDL and HDL cholesterol level between low income and high income samples. Spearman rank correlation test in rural area showed significance correlation between education level, income per capita, total expenditure, and nutritional knowledge score with HDL cholesterol level. Income per capita and total expenditure correlated significantly with total cholesterol level and BMI correlate</span><span style="font-size: 10pt;">d</span><span style="font-size: 10pt;" lang="en-us" xml:lang="en-us"> significantly with level of trigl</span><span style="font-size: 10pt;">yc</span><span style="font-size: 10pt;" lang="en-us" xml:lang="en-us">erid</span><span style="font-size: 10pt;">e</span><span style="font-size: 10pt;" lang="en-us" xml:lang="en-us">. Meanwhile, in urban area we found significant correlation between education level, total expenditure, nutritional knowledge score, and BMI with total cholesterol level. Education level and nutritional knowledge score correlated significantly with LDL cholesterol level, and BMI correlated significantly with level of trigl</span><span style="font-size: 10pt;">yc</span><span style="font-size: 10pt;" lang="en-us" xml:lang="en-us">erid</span><span style="font-size: 10pt;">e</span><span style="font-size: 10pt;" lang="en-us" xml:lang="en-us">.</span></p>
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