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All Journal Science Midwifery Narra X
Hajjah, Hajjah
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Biochemistry, Genetics & Molecular Biology Chemistry Dentistry Health Professions Immunology & microbiology Materials Science & Nanotechnology Medicine & Pharmacology Nursing Physics Public Health Veterinary

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Cancer in Indonesia: A bibliometric surveillance Iqhrammullah, Muhammad; Refin, Randa Y.; Rasmi, Rika I.; Andika, Fina F.; Hajjah, Hajjah; Marlina, Marlina; Ningsih, Ratna
Narra X Vol. 1 No. 2 (2023): August 2023
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narrax.v1i2.86

Abstract

Being archipelagic in geography and heterogenous in population contributes to the challenging comprehensive cancer surveillance in Indonesia. This present study analyzed the scientific publications on cancer epidemiology in Indonesia through bibliometric analysis aiming to complement the national survey data. The bibliometric data were retrieved from Scopus database on 9 May 2023 with pre-designed keyword combinations implying ‘cancer epidemiology in Indonesia’. The data were further presented in a table, distribution map, and visualized co-occurrence network. The visualization of co-occurring keywords was performed on VosViewer, and further analyzed qualitatively and quantitatively. We retrieved 1075 scientific records constituted of original articles (n=888, 82.6%), conference papers (n=102, 9.48%), and review articles (n=40, 3.72%) among others. The contributing affiliations are concentrated in Java Island, with Jakarta (n=603) as the province with the most publications. ‘Breast cancer’ (n=91) and ‘cervical cancer’ (n=39) emerged as the most frequently occurring keywords, and are assigned as the centers of research cluster, respectively. Keyword ‘breast cancer’ (total link strength, TLS=86) is connected with ‘colorectal cancer’, ‘metastasis’, ‘ovarian cancer’, and ‘prostate cancer’. Meanwhile, keyword ‘cervical cancer’ (TLS=35) is connected with ‘human papilloma virus’ and ‘knowledge’. The results are in line with the current epidemiological data of Indonesia, and they can provide different insights, especially on the research trend. Research and policy recommendations are presented in the last parts of this article.
The relationship between diabetes mellitus (DM) risk factors and random blood sugar levels (RBSL) in managerial and non-managerial positions in the local government of Bener Meriah Regency Hajjah, Hajjah; Ichwansyah, Fahmi; Zahara, Meutia; Aramico, Basri; Abdullah, Asnawi
Science Midwifery Vol 13 No 6 (2026): February: Health Sciences and related fields
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/midwifery.v13i6.2259

Abstract

Fasting Blood Sugar Level (FBSL) as one of the efforts to detect DM. The study aims to determine the risk factors of DM on FBSL in managerial and non-managerial positions (civil servants) in Bener Meriah Regency. The study used a cross-sectional design. The research sample consisted of 81 managerial and 102 non-managerial respondents. Purposive sampling was used. The study period was from February 20 to June 7, 2024. Data collection involved measurements (height, weight to calculate BMI), blood pressure checks, and KGDS. A questionnaire (IPAQ) was used for interviews on physical activity, and a questionnaire (Riskesdas) from 2018 was used for interviews on risk factors for low fiber consumption and high sugar, salt, and fat consumption. Analysis of Mann Whitney Test and Multiple Logistic Regression data. The results showed that there was a relationship between KGDS and BMI (OR= 2.48; 95%CI=2.48; p-value=0.007). There was no relationship between KGDS and blood pressure (OR= 1.66; 95%CI=0.82-3.35; p-value=0.1520). There is no relationship between KGDS and physical inactivity (OR=1.80; 95% CI=0.82-3.93 p-value=0.1307). There is no relationship between KGDS and low fiber consumption (OR=1.15; 95% CI=0.50-2.61 p-value=0.74). There was no association between KGDS and high sugar, salt, and fat intake (OR=0.90; 95% CI=0.41-1.94; p-value=0.7828). There was no association between group and KGDS occurrence (OR=1.39; 95% CI=0.76-2.53 p-value=0.272). There was no association between random blood glucose levels (KGDS) and blood pressure, physical activity, and dietary patterns. Regular KGDS testing and the implementation of physical activity and balanced nutrition are still recommended.
Co-Authors Andika, Fina F. Asnawi Abdullah Basri Aramico, Basri Fahmi Ichwansyah Iqhrammullah, Muhammad Marlina Marlina Meutia Zahara Ningsih, Ratna Rasmi, Rika I. Refin, Randa Y.