Aisy, Jihan Rohadatul
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The Associations between Parity, Family Income, Residence, and Abortion Incidence: A Meta-Analysis Putri, Annessa Marknalia Sasqia; Soraya, Mira Mashita; Aisy, Jihan Rohadatul; Murti, Bhisma; Munawaroh, Siti Mar'atul
Journal of Maternal and Child Health Vol. 9 No. 3 (2024)
Publisher : Masters Program in Public Health, Universitas Sebelas Maret, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/thejmch.2024.09.03.03

Abstract

Background: Abortion is a complex and controversial issue found across the country. The decision to terminate a pregnancy involves many aspects in terms of medical, ethical, moral, religious, social, economic, and legal. Understanding the factors that influence the incidence of abortion is critical to developing strategies to effectively address this issue. This study aims to analyze and estimate the magnitude of the effects of parity, family income, and residence with the incidence of abortion. Subjects and Method: Systematic review and meta-analysis studies were conducted according to the PRISMA flowchart and PICO model. Population: women of childbearing age. Intervention: multipara, high income, and urban residence. Comparison: primapara, low income, and rural residence. Outcome: The incidence of abortion. The basic data used involved Google Scholar, PubMed, BMC, Elsivier, ScienceDirect, and Springer Link. The inclusion criteria are full-text articles with observational study design using multivariate analysis that attaches aOR values and is published from 2014-2023. Data analysis using Review Manager 5.3 application. Results: Ten case control studies and nine cross-sectional studies from the Americas, Africa, and Asia were selected for the meta-analysis. Multiparous (aOR= 1.12; CI 95%= 0.54 to 2.34; p= 0.750), high family income (aOR= 0.55; CI 95%= 0.22 to 1.34; p= 0.190), and urban dwellings (aOR= 1.17; CI 95%= 0.88 to 1.55; p = 0.270) increases the risk of abortion in women of childbearing age, but is not statistically significant. Conclusion: Multipara, high family incomes, and urban residences increase the risk of the likelihood of having an abortion in women of childbearing age, but are not statistically significant.
Factors Affecting Age of Menarche: A Cross-Sectional Aisy, Jihan Rohadatul; Pamungkasari, Eti Poncorini; Murti, Bhisma
Journal of Maternal and Child Health Vol. 9 No. 4 (2024)
Publisher : Masters Program in Public Health, Universitas Sebelas Maret, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/thejmch.2024.09.04.07

Abstract

Background: Early menarche or first menstruation has been associated with increased risk of breast cancer and cardiovascular disease. Understanding the factors that influence the age of menarche is very important to provide promotive and preventive actions that can be carried out by schools and families. This study aims to analyze the factors that influence the age of menarche. Subjects and Method: This study used an observational analytical study with a cross-sectional design. The subjects in this study were 125 female students at 5 public elementary schools in Malang City, East Java, Indonesia. The dependent variable was the age of menarche. The independent variables were nutritional status (BMI), stress, parenting patterns, and parenting pattern dominance. Data analysis used univariate, bivariate, and multivariate models with multiple linear regression methods. Results: Age of menarche decreased with stress (b = -0.50; 95% CI = -0.70 to -0.29; p <0.001), BMI ≥25 (b= -9.00; 95% CI = -16.75 to -1.25; p = 0.023), authoritarian parenting style (b = -1.05; 95% CI = -1.53 to -0.58; p<0.001), and the dominance of parenting patterns by single parents or guardians (b= -4.92; 95% CI = -9.42 to -0.42; p = 0.032). The age of menarche was higher in adolescents with a lower BMI than a normal BMI (b = 4.78; 95% CI = 1.20 to 8.36; p = 0.009). This multiple linear regression analysis model showed moderate model suitability with an Adj R-Squared value of 46.81%. Conclusion: Multiple linear regression analysis showed a relationship between stress factors, authoritarian parenting patterns, dominant parenting patterns, and BMI with a decrease in the age of menarche which was statistically significant.