Karakteristik Wanita dengan Penderita Kista Ovarium

Ovarian cysts are one of the reproductive organ diseases in women. This study aims to determine the characteristics of women with ovarian cysts at Hospital X in Jakarta from 2022 to June 2025. This research uses a case series study design with a sample size of 70 women diagnosed with ovarian cysts. The sampling technique used is total sampling. Data will be analyzed using univariate analysis. This study will be conducted from May to August 2025. The univariate results show that the highest proportion of respondents is aged 20-49 years (70.0%), with a classification of neoplastic cysts (100.0%), respondents with the highest education level being high school/vocational school (65.7%), the highest parity category being multipara (77.1%), the category of women with irregular menstrual cycles being (75.5%), and the highest employment category being working women (64.5%). Additionally, women using hormonal contraceptives (71.4%) and those with a family history of ovarian cysts (71.4%) were noted. The highest menarche age category was among women who experienced menarche at <12 years (62.9%) and women who are obese (61.4%). Based on the results of this study, it is hoped that women will undergo screening for the early detection of ovarian cyst disease

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Publication Details

Journal
Termometer Jurnal Ilmiah Ilmu Kesehatan dan Kedokteran
Published
2025-09-26
DOI
https://doi.org/10.55606/termometer.v3i4.5509
Primary Topic
Food and Agricultural Sciences
Type
article
Field-Weighted Citation Impact
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article

Karakteristik Wanita dengan Penderita Kista Ovarium

Rini Handayani, Ira Marti Ayu, Mayumi Nitami, Deybi Julianti Napitu
Termometer Jurnal Ilmiah Ilmu Kesehatan dan Kedokteran
Food and Agricultural Sciences
article

Karakteristik Wanita dengan Penderita Kista Ovarium

Rini Handayani, Ira Marti Ayu, Mayumi Nitami, Deybi Julianti Napitu
article en

Abstract

Ovarian cysts are one of the reproductive organ diseases in women. This study aims to determine the characteristics of women with ovarian cysts at Hospital X in Jakarta from 2022 to June 2025. This research uses a case series study design with a sample size of 70 women diagnosed with ovarian cysts. The sampling technique used is total sampling. Data will be analyzed using univariate analysis. This study will be conducted from May to August 2025. The univariate results show that the highest proportion of respondents is aged 20-49 years (70.0%), with a classification of neoplastic cysts (100.0%), respondents with the highest education level being high school/vocational school (65.7%), the highest parity category being multipara (77.1%), the category of women with irregular menstrual cycles being (75.5%), and the highest employment category being working women (64.5%). Additionally, women using hormonal contraceptives (71.4%) and those with a family history of ovarian cysts (71.4%) were noted. The highest menarche age category was among women who experienced menarche at <12 years (62.9%) and women who are obese (61.4%). Based on the results of this study, it is hoped that women will undergo screening for the early detection of ovarian cyst disease

Termometer Jurnal Ilmiah Ilmu Kesehatan dan KedokteranVol. 3(4)
Universitas Esa Unggul (ID)
Openalex Percentile: Top 68%
Food and Agricultural Sciences
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