Abstract

<p class="MsoTitle" style="margin: 0cm 13.05pt 6pt 17.85pt; text-align: justify; text-indent: 26.95pt;"><span style="font-size: 10pt;" lang="en-us" xml:lang="en-us">The cross sectional design was used in this study to elaborate physical activity, </span><span style="font-size: 10pt;" lang="af" xml:lang="af">energy consumption</span><span style="font-size: 10pt;" lang="en-us" xml:lang="en-us">, and work productivity of </span><span style="font-size: 10pt;" lang="af" xml:lang="af">men workers</span><span style="font-size: 10pt;" lang="en-us" xml:lang="en-us">. The total number of sample is 72 men. The inclusion criteria of the sample is the head of household’s </span><span style="font-size: 10pt;" lang="af" xml:lang="af">women tea pickers at Tea Plantation PTPN VIII Bandung, West Java who have</span><span style="font-size: 10pt;" lang="en-us" xml:lang="en-us"> children 0-72 month age and willing to be interviewed. The place of the research was chose purposively. Malabar Plantation was chosen from the other five plantations (clusters) cause of its easier access and the homogenous characteristics inter cluster. </span><span style="font-size: 10pt;" lang="en-us" xml:lang="en-us">Data collected was analyzed statistically. In general, more than a half of samples had active or moderately physical activity level (PAL=1.89). The physical activity level of samples during work day (average PAL=1.93) was higher than holiday (average PAL=1.77) (p<0.05). The working hours during holiday were substituted by doing domestic chores and miscellaneous recreational activities. There are significant differences (p<0.05) of energy requirement based on three calculation (Schofield equation, Oxford equation, and energy RDI on WNPG (2004)). Average energy consumption of men workers were </span><span style="font-size: 10pt;" lang="af" xml:lang="af">87.2 - 121.2%.</span><span style="font-size: 10pt;" lang="en-us" xml:lang="en-us"> Majority of samples (76.4%) had wages per month below the regional minimum wages. The working hours of more than a half of samples were below seven hours per day and had wages per hour below standard regional minimum wage. Based on correlation analysis, there are significant correlation between 1) education level with physical activity level; 2) age, income per capita, and family size with wage per month; 3) age and physical activity level with working hours; and 4) age and income per capita with wages per hour.</span></p>

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