Summary: | Background:Depression in elderly often hard to detect.
While depression can cause another problem that will
decrease their quality of life. Recently several studies
examined relationship between depression and BMI. The
researcher anticipated that BMI can predict depressive
symptoms.
Objective:To find out the correlation between depression
and level of Body Mass Index of elderly in Saturday Clinic
Faculty of Medicine UGM.
Method:The subjects of this study are elderly overweight
BMI who attend Saturday Clinic program in Faculty of
Medicine Universitas Gadjah Mada. Samples taken in this
study are 55 elderly people over 60 years old. The method
used are an analytic survey research with cross sectional
approach, the study try to explore how and why the health
phenomenon happens, then analyze the correlation between the
dynamics of the phenomenon, by means of approach,
observation or data collection. The analysis method used is
descriptive analysis and analysis of the Chi-Square (�2)
odds ratio.
Result and conclusion:Based on the analysis the depressed
elderly are 12 people (21%) and those without depression are
43 people (78%). BMI levels of underweight elderly are as
many as 5 people (9%), elderly with BMI normal are 31 people
(56%), elderly with overweight BMI are 15 people (27%), and
elderly with obesity BMI are 4 people (7%). The results of
the statistical test Chi-Square (�2) and the 95% confidence
level obtained p-value 0.004 with significant results,
meaning that there is a relationship between depression and
BMI. From the test results between depression and BMI
(underweight and obesity) is obtained p-value 0.635, meaning
that there is no correlation between depression and level of
underweight. From the test results between depression and
BMI (normal and obesity) is gained p-value 0.008, meaning
that there is a relationship between depression and normal
BMI. From the test results between depression and BMI of
(overweight and obesity) obtained p-value 0.003, meaning
that there is a relationship between depression and BMI
overweight.
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