Melola Discovery

← Melola Discovery

Jurnal

Hubungan Indeks Massa Tubuh dengan Kejadian Premenstrual Syndrome pada Mahasiswi Fakultas Kedokteran Universitas Halu Oleo Angkatan 2012-2013

MEDULA (JURNAL ILMIAH FAKULTAS KEDOKTERAN UNIVERSITAS HALU OLEO) · Vol. 3 No. 2 (2017)

DOI
10.46496/medula.v3i2.2549
ISSN
2443-0218, 2339-1006
Published
2017-07-08
Publisher
Halu Oleo University
Language
eng

Abstract

Background: Premenstrual syndrome (PMS) refers to a set of physical, psychological and emotional sympstoms during a part of a woman’s menstrual cycle. About 80-95% productive woman has experience with premenstrual syndrome could effect several aspects in their life. Several factor could cause premenstrual syndrome is increase level of estrogen hormone. Basic material of esterogen is fat, especially peripheral fat. that could be predicted by measuring the body mass index. The aim of the study is to examine the relationship between body mass index (BMI) and Premenstrual syndrome at female medical faculty, 2012-2013 of Haluoleo University. This study was an analytic observasional with cross sectional design. Samples in this study were 133 respondents from the female of Medical Faculty, of Halu Oleo University. Samples were obtained by proportional stratified random sampling. This study using American Psikiatry Assosoation (APA) questionnaire to diagnose premenstrual syndrome. Data were analyzed with chi-square. In this study, 55.6% of respondents having a Premenstrual Syndrome, in which 96.15% incidence of premenstrual syndrome occurred in overweight group. There is a significant relationship between body mass index with the incidence of premenstrual syndrome with p value = 0,000 (p α = 0.05) in which increasing a person's weight, the tendency to experience incidence of premenstrual syndrome will also increase. There is a relationship between body mass index with the incidence of premenstrual syndrome on the female of Medical Faculty, 2012-2013 of Halu Oleo University.Keywords: Body Mass Index, Female Medical Students, Premenstrual syndrome

Collaboration network of the authors

40 authors · 109 co-authorship links · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universitas Halu Oleo
  • Universitas Nusantara PGRI Kediri
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Sufiah Asri MulyawatiAffiliation unknown6
Satrio WicaksonoAffiliation unknown5
Nur Indah PurnamasariAffiliation unknown3
Yenti PurnamasariAffiliation unknown3
Asmarani AsmaraniAffiliation unknown3
Waode Sitti Asfiah UduAffiliation unknown2
Indria HafizahAffiliation unknown2
Lianawati LianawatiAffiliation unknown2
Steven RidwanAffiliation unknown2
Zida Maulina AiniAffiliation unknown2
Jamaluddin JamaluddinAffiliation unknown2
I Putu SudayasaAffiliation unknown2
Saida SaidaUniversitas Halu Oleo1
Parawansah ParawansahUniversitas Halu Oleo1
Nurul Afifah YusranUniversitas Halu Oleo1
Wa Ode Chesaria F.AUniversitas Halu Oleo1
Indriyati IndriyatiUniversitas Halu Oleo1
Nuzul Aulia Fajarwati BUniversitas Halu Oleo1
Puteri Febriyanthi RachmanUniversitas Halu Oleo1
Husnul MahmudahAffiliation unknown1
Kurniasari KurniasariAffiliation unknown1
Asmarani Dian PratiwiAffiliation unknown1
La RangkiAffiliation unknown1
Ashaeryanto AshaeryantoAffiliation unknown1
Alfi LailaUniversitas Nusantara PGRI Kediri1
Ilyas RaupongAffiliation unknown1
Miranty Aditya HadiniAffiliation unknown1
Sri Hasriani HarisAffiliation unknown1
Fedelia RayaAffiliation unknown1
Nur JanaAffiliation unknown1
Heny HastutiAffiliation unknown1
Monovalentino YohanisAffiliation unknown1
Monovalentino MonovalentinoAffiliation unknown1
Yusmiati YusmiatiAffiliation unknown1
Dwi PascawitasariAffiliation unknown1
Sapto RaharjoAffiliation unknown1
Agus SaifuddinAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://ojs.uho.ac.id/index.php/medula/oai, first harvested 31 Okt 2026, last seen 1 Nov 2026.
Original metadata (oai_dc)
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en-US">Hubungan Indeks Massa Tubuh dengan Kejadian Premenstrual Syndrome pada Mahasiswi Fakultas Kedokteran Universitas Halu Oleo Angkatan 2012-2013</dc:title>
	<dc:creator>Eso, Amiruddin</dc:creator>
	<dc:creator>Saimin, Juminten</dc:creator>
	<dc:creator>Nimandana, Luphyta</dc:creator>
	<dc:description xml:lang="en-US">Background: Premenstrual syndrome (PMS) refers to a set of physical, psychological and emotional sympstoms during a part of a woman’s menstrual cycle. About 80-95% productive woman has experience with premenstrual syndrome could effect several aspects in their life. Several factor could cause premenstrual syndrome is increase level of estrogen hormone. Basic material  of esterogen is fat, especially peripheral fat.  that could be predicted by measuring the body mass index. The aim of the study is to examine the relationship between body mass index (BMI) and Premenstrual syndrome at female medical faculty, 2012-2013 of Haluoleo University. This study was an analytic observasional with cross sectional design. Samples in this  study were 133 respondents from the female of Medical Faculty, of Halu Oleo University. Samples were obtained by proportional stratified random sampling. This study using American Psikiatry Assosoation (APA) questionnaire to diagnose premenstrual syndrome. Data were analyzed with chi-square. In this study, 55.6% of respondents having a Premenstrual Syndrome, in which 96.15% incidence of premenstrual syndrome occurred in overweight group. There is a significant relationship between body mass index with the incidence of premenstrual syndrome with p value = 0,000 (p α = 0.05) in which increasing a person's weight, the tendency to experience incidence of premenstrual syndrome will also increase. There is a relationship between body mass index with the incidence of premenstrual syndrome on the female of Medical Faculty, 2012-2013 of Halu Oleo University.Keywords : Body Mass Index, Female Medical Students, Premenstrual syndrome</dc:description>
	<dc:publisher xml:lang="en-US">Halu Oleo University</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2017-07-08</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ojs.uho.ac.id/index.php/medula/article/view/2549</dc:identifier>
	<dc:identifier>10.46496/medula.v3i2.2549</dc:identifier>
	<dc:source xml:lang="en-US">MEDULA (JURNAL ILMIAH FAKULTAS KEDOKTERAN UNIVERSITAS HALU OLEO); Vol 3, No 2 (2016)</dc:source>
	<dc:source>2443-0218</dc:source>
	<dc:source>2339-1006</dc:source>
	<dc:source>10.46496/medula.v3i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs.uho.ac.id/index.php/medula/article/view/2549/1897</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2017 Medula</dc:rights>
</oai_dc:dc>