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Factors Associated with Mental Health Status of Pregnant Women Eliyana Eliyana; Bambang Setiaji; Dian Utama Pratiwi Putri; Endang Budiati
Indonesian Journal of Global Health Research Vol. 8 No. 3 (2026): Indonesian Journal of Global Health Research
Publisher : GLOBAL HEALTH SCIENCE GROUP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37287/ijghr.v8i3.1592

Abstract

Mental health of pregnant women is an important aspect of efforts to improve the health status of mothers and children. South Lampung Regency still faces low achievement in mental health screening of pregnant women (22.27%). This study aims to determine the factors associated with the mental health status of pregnant women in South Lampung Regency in 2025. This study employed a quantitative approach with a cross-sectional analytical design. The study population consisted of all pregnant women attending nine selected community health centers in South Lampung Regency, with a total sample of 415 respondents selected using proportional random sampling. The dependent variable, namely the mental health status of pregnant women, was measured using the Edinburgh Postnatal Depression Scale (EPDS), which has been validated in the Indonesian population and demonstrated good reliability, with Cronbach’s alpha ranging from 0.78 to 0.85, indicating satisfactory internal consistency. A cut-off score of ≥10 was applied to classify pregnant women as being at risk of depression, as this threshold is considered sensitive for community-based screening in primary health care settings. The independent variables maternal age, gestational age, residence, spousal support, frequency of antenatal care (ANC) visits, and history of mental disorders were measured using a structured questionnaire. Data analysis was conducted using univariate, bivariate (Chi-Square test), and multivariate (multiple logistic regression) analyses. The results of the chi-square test showed a significant relationship between the age of the pregnant woman (p=0.000; OR=2.755), gestational age (p=0.014; OR=1.684), place of residence (p=0.004; OR=0.544), spousal support (p=0.000; OR=0.462), frequency of ANC visits (p=0.026; OR=0.625), and history of mental disorders (p=0.000; OR=3.595) with the mental health status of pregnant women. Multiple logistic regression analysis showed that the dominant factor associated with the mental health status of pregnant women was a history of mental disorders in the family (OR=4.453).  In conclusion, there is a relationship between the age of pregnant women, gestational age, place of residence, spousal support, frequency of ANC visits, and history of mental disorders with the mental health status of pregnant women. The dominant influencing variable is a family history of mental disorders.
Factors Associated with Treatment Compliance among Hypertension Patients Miniarti Miniarti; Aila Karyus; Bambang Setiaji; Dewi Rahayu; Dian Utama Pratiwi Putri
Health Dynamics Vol 2, No 8 (2025): August 2025
Publisher : Knowledge Dynamics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33846/hd20805

Abstract

Background: Hypertension, often referred to as a “silent killer,” is a major health problem because it frequently presents without symptoms. Poor adherence to antihypertensive treatment can lead to uncontrolled blood pressure, resulting in complications and damage to vital organs. This study aimed to identify factors associated with treatment compliance among hypertension patients in Pesisir Barat Regency in 2025. Methods: This quantitative research employed a cross-sectional design with data collected through questionnaires. The study involved hypertension patients aged 45–70 years and was conducted from February 20 to March 22, 2025. Data included demographic characteristics and factors related to treatment compliance. Bivariate analysis was conducted using the chi-square test, while multivariate analysis was performed using multiple logistic regression. Results: The duration of hypertension was not significantly associated with treatment compliance (p = 0.080). In contrast, significant associations were found with knowledge about hypertension (p = 0.000), motivation to seek treatment (p = 0.000), family support (p = 0.002), role of health workers (p = 0.000), accessibility of health services (p = 0.001), family history of hypertension (p = 0.008), and treatment history (p = 0.005). Conclusion: Several factors were identified as significantly influencing treatment compliance, with the role of health workers emerging as the most dominant factor. Strengthening the role of health workers, alongside family-based interventions and improved access to health services, is recommended to enhance treatment compliance among hypertension patients.