Correlatoin Between Indeks Mass Body with Premenstrual Syndrome on Female Students in Institute of Health Sciences of Karya Husada Kediri
Correlatoin Between Indeks Mass Body With Premenstrual Syndrome on female students in Institute of Health Sciences of Karya Husada Kediri
Siti Asiyaha*) Intan Nur Aulia Dame Sihombingb*)
a,b*) Institute of Health Sciences of KaryaHusada Kediri, soekarnoHattaStreet Number 07
Pare – Kediri, East Java, Indonesia
Teenagers who had menstruation can not be separated from the problem of pre menstrual syndrome, in addition to a variety of lifestyle factors make these symptoms worse. One of the risk factors of premenstrual syndrome is the body mass index. Women who have a body mass index scores> 30 had a threefold risk of premenstrual syndrome compared to women with a body mass index <30. The purpose of this study to know the relation of body mass index with the incidence of premenstrual syndrome.
This study was analytic correlative with case control approach. population in this study is college female students at STIKES Karya Husada Kediri. Total student population of 531, the number of samples overweight 31 female students and 83 normal college student, variable in this research is the independent variable is the body mass index and the dependent variable is Premenstrual Syndrome, instrument in this study using data collector sheet and questionnaire. The data collected were processed with statistical Spearman rank test.The study was conducted on 13-17 July 2016.
From the statistical test using Spearman Rank correlation with a p-value 0.001 <α r value of 0.01 and 0.628 hence Ho refused and H1 accepted which means there is a correlatoin between body mass index with pre menstrual syndrome.
The correlation of body mass index with premenstrual syndrome due to an imbalance of estrogen and progesterone. Increased levels of estrogen is directly proportional to the increase in the percentage of fat in the body means higher body mass index, the greater the risk of a woman to experience premenstrual syndrome.
Keywords: Body Mass Index, Pre Menstrual Syndrome