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Aprilia Afifah Zahrani; Tutik Rahayu; Sri Wahyuni

Jurnal Inovasi Riset Ilmu Kesehatan 2025 Pusat Riset dan Inovasi Nasional

Ovarian cysts are a type of reproductive disease that often attacks women. Ovarian cysts are collections of fluid in the ovaries or fallopian tubes that accumulate and are surrounded by a membrane formed from the outer layer of the ovaries. Many people, especially women of childbearing age, do not know the factors that cause ovarian cysts themselves. Cyst Factor Analysis aims to increase public knowledge for early prevention. This research is a type of quantitative research using a cross sectional approach. The sample used was 109 respondents and anticipated drop out was 121 respondents in the work area of the Tlogosari Kulon Semarang Health Center. The sample was taken using a probability sampling technique with a simple random sampling type. The comparative test used was the Chi-Square test. The results of research using the Chi-Square test proved that the p value of the ovarian cyst factors was <0.05. This shows that there is a significant and strengthening relationship between age, menstrual cycle, genetic history, parity, economic status, history of previous cysts, menarche, hypothyroidism. There is a relationship between age, menstrual cycle, genetic history, parity, economic status, history of previous cysts, menarche, hypothyroidism on the incidence of ovarian cysts in women of childbearing age at the Tlogosari Kulon Semarang Community Health Center, and factors that have a significant influence are genetic history with a p-value <0.050.

Ernawati Napitupulu; Isyos Sari Sembiring; Titin Suherni; Elnia Elnia; Rizky Andriani

Jurnal Ventilator: Jurnal riset ilmu kesehatan dan Keperawatan 2023 Stikes Kesdam IV/Diponegoro Semarang, Indonesia

BACKGROUND The exact incidence of infertility is not yet known with certainty, it varies greatly depending on geographical conditions, culture and social status of the country. Women who marry at an old age or mature and work actively will greatly affect a woman's fertility. It is estimated that around 2 million new infertile couples appear every year and this number continues to increase. It is estimated that a healthy couple will get fertilized within 1 year (Nuparma, 2017). Infertility data in the world according to the World Health Organization (WHO) and other reports estimates that 8-12% of couples experience infertility problems during their reproductive years. If eight percent of the global population figure is around 60-80 million couples who have not had children. OBJECTIVE To analyze the factors that influence the occurrence of primary infertility in couples of childbearing age at the Pegajahan Community Health Center, Pegajahan District, Serdang Bedagai District in 2023. METHOD chi square test p value < 0.05 means H0 is rejected and Ha is accepted, the statistical test results show a significant relationship. RESULTS: There is a significant relationship between age, menstrual cycle and no history of PMS and employment with the incidence of infertility and is a risk factor that has a significant influence on the incidence of infertility. Suggestions are given for research and for research sites and for educational institutions regarding exclusive breastfeeding and the implementation of IMD for newborn babies

Nilawati Nilawati; Ninsah Mandala Putri Sembiring

Jurnal Riset Rumpun Ilmu Kesehatan 2022 Pusat riset dan Inovasi Nasional

Adolescence between the ages of 10-19 years, is a transitional period experienced by a person with physical and psychological changes. One of the health problems that occur in adolescents is anemia. This study aims to determine the incidence of anemia, the relationship between knowledge and menstrual history in the Working Area of ​​the Stungkit Health Center, Wampu District, in 2022. This type of research is an analytical survey with a cross sectional method approach. The number of samples used was 40 people. The data analysis technique uses the Chi Square test. the results obtained from 40 respondents, obtained a value of p = 0.001 (P> 0.05) this means that there is a relationship between knowledge and the incidence of anemia in young women. p value = 0.000 (P > 0.05) this means that there is a relationship between menstrual history and the incidence of anemia in young women.