Arief Wibowo
Biostatistics And Demography Department, Master’s Degree Of Public Health Department, Faculty Of Public Health, Universitas Airlangga, Indonesia

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Perspektif Ibu Hamil dan Penyedia Layanan Antenatal terkait Peningkatan Berat Badan Ibu dan Kebutuhan Gizi Selama Kehamilan: Sistematik Review: Perspectives of Pregnant Women and Antenatal Service Providers Regarding Gestational Weight Gain and Nutritional Needs: Systematic Review Nur Anisah Rahmawati; Eighty Mardiyan Kurniawati; Arief Wibowo; Diah Indriani; Vina Firmanty Mustofa
Amerta Nutrition Vol. 7 No. 1SP (2023): AMERTA NUTRITION SUPPLEMENTARY EDITION Big Data Seminar
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/amnt.v7i1SP.2023.47-58

Abstract

Background: Gestational weight gain that does not follow the standards can cause long-term problems for maternal and fetal outcomes. Research has found that most pregnant women cannot achieve gestational weight gain according to health standards. Objectives: This review explores the perspectives of pregnant women and antenatal care providers regarding gestational weight gain and nutritional needs. Methods: A systematic review follows the PRISMA guidelines. Several databases were accessed, namely PubMed, Google Scholar, and ScienceDirect databases, using a combination of the following Medical Subject Heading terms and relevant keywords. The inclusion criteria applied were studies written in English, evaluating the relevant topics, providing full text, and the study was published starting in 2019-2023. Results: A total of 12 articles were reviewed. Respondents were midwives, family doctors, obstetricians, health trainers, administrative officers, and pregnant and postpartum women. The nutritional status of pregnant women studied included normal and obese pregnant women. Obstacles encountered in counseling are patient attitudes, sociocultural issues (sensitive issues), accessibility of resources, and lack of communication training with patients and across professions. Sociocultural, economic status, and interpersonal factors such as social support influence patient beliefs, attitudes, and experiences. Patients may remember their positive experiences in health facilities, but there is also a fear of discrimination they face. Conclusions: This study finds the need for training in counseling and cross-professional communication techniques to health service providers regarding gestational weight gain. Appropriate counseling increases patient comfort during pregnancy and prevents adverse effects that arise during and after pregnancy.
Faktor yang Mempengaruhi Tingkat Fertilitas di Indonesia: Review Literatur Ni Wayan Yustika Agustin Darki; Arief Wibowo
Media Gizi Kesmas Vol 12 No 1 (2023): MEDIA GIZI KESMAS (JUNI 2023)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/mgk.v12i1.2023.530-536

Abstract

Background: TFR in Indonesia in 2017 amounted to 2.4, meaning that the average child born to a woman during her childbearing age is 2-3 children. However, this figure has not met the RPJMN target in 2015, which is 2.1. The high fertility rate of a region has a negative impact such as population explosion, diminishing land, even causing food shortages, and increasing crime rates. Purpose: To identify factors related to fertility rates in Indonesia. Method: The method used was literature review by studying 11 points according to predetermined topics and themes. The databases used were Google Scholar, ScienceDirect, Pubmed, and DOAJ. Discussion: Factors that affect fertility were age, education, first marriage age, income, contraceptive use, maternal working status, etc. The higher the age of the mother was the greater the number of children born. Inversely proportional to age, the lower the age of first marriage was the higher the number of children born. While the higher the education was the smaller the number of children born. Conclusion: factors that affected fertility rate of age, education level, age of first marriage, income, number of family members, and use of contraceptives. This was inseparable from several other influencing factors such as norms and beliefs, socio-economic, environmental, and also demographic factors.
Perceived Behavior Model for Heart Disease Prevention in BPJS Mandiri Participants: A Health Belief Approach Yeni Riza; Wasis Budiarto; Setya Haksama; Kuntoro Kuntoro; Ririh Yudhastuti; Arief Wibowo; Hari Basuki Notobroto; Fitri Rachmillah Fadmi
Health Dynamics Vol 2, No 7 (2025): July 2025
Publisher : Knowledge Dynamics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33846/hd20705

Abstract

Background: Heart disease remains a leading cause of death globally and is increasingly prevalent in Indonesia. Preventive behavior plays a crucial role in reducing the burden of this disease, especially among populations with limited healthcare access. This study aims to develop a Perceived Behavior Model based on the Health Belief Model combined with WHO's STEPWise approach to enhance health quality related to heart disease prevention behaviors. Methods: This observational cross-sectional study examined demographic factors, perceived susceptibility, seriousness, barriers, benefits, self-efficacy, and cues to action regarding heart disease preventive behavior. Participants adopted preventive measures such as maintaining a healthy diet, refraining from smoking, avoiding alcohol consumption, and staying physically active. The study surveyed 435 individuals from the total 82,232 BPJS Mandiri (self-paying participants of Indonesia’s National Health Insurance system) members in Banjarmasin, Indonesia, without any intervention. Data analysis was conducted using the Partial Least Square (PLS) method with SmartPLS software version 3.29. The full model of structural equation modeling and theory confirmation also examined the presence or absence of relationships between latent variables. Result: The study found a direct and positive effect of demographic factors on perceived susceptibility, perceived seriousness, perceived benefits, perceived barriers, and self-efficacy, as well as on perceived susceptibility and seriousness regarding heart disease preventive behaviour. Conclusions: Understanding these cultural influences can guide policymakers in strengthening prevention strategies within Indonesia’s Social Security Agency of Health system, reducing financial burdens, and improving public health outcomes. These insights may also inform global discussions on culturally tailored health interventions.