Risk Factors Related to Anemia in Oil Palm Plantation Workers in Ogan Komering Ilir Regency

Anemia is a common health problem worldwide, especially in developing countries. Oil palm plantation workers are at high risk of developing anemia due to various factors such as diet, working conditions, and pesticide exposure. This study analyzes the risk factors associated with anemia in oil palm plantation workers in Ogan Komering Ilir Regency. The research method used was an analytical survey with a cross-sectional approach. Data were collected through structured interviews and questionnaires with 33 oil palm plantation workers. The variables studied included age, occupation, level of knowledge, family support, and specific exposure. Statistical analysis was performed using the chi-square test. The results showed that the incidence of anemia in plantation workers reached 14.7%. Occupational factors (p = 0.011) and family support (p = 0.005) had a significant relationship with the incidence of anemia. However, no significant relationship was found between age (p = 0.414), level of knowledge (p = 1.000), and exposure (p = 0.634) with the incidence of anemia. This study concludes that occupational factors and family support contribute to the incidence of anemia in oil palm plantation workers. Further research is needed to explore other risk factors that may influence the incidence of anemia in this group.

Authors

Institutions

Publication Details

Journal
Sainmatika Jurnal Ilmiah Matematika dan Ilmu Pengetahuan Alam
Published
2025-03-05
DOI
https://doi.org/10.31851/sainmatika.v22i1.18176
Primary Topic
Public Health and Nutrition
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Risk Factors Related to Anemia in Oil Palm Plantation Workers in Ogan Komering Ilir Regency

Sri Wahyuningsih, Vivi Oktari, Wiwiet Wulandari
1 links
Sainmatika Jurnal Ilmiah Matematika dan Ilmu Pengetahuan Alam
Public Health and Nutrition
article

Risk Factors Related to Anemia in Oil Palm Plantation Workers in Ogan Komering Ilir Regency

Sri Wahyuningsih, Vivi Oktari, Wiwiet Wulandari
article en

Abstract

Anemia is a common health problem worldwide, especially in developing countries. Oil palm plantation workers are at high risk of developing anemia due to various factors such as diet, working conditions, and pesticide exposure. This study analyzes the risk factors associated with anemia in oil palm plantation workers in Ogan Komering Ilir Regency. The research method used was an analytical survey with a cross-sectional approach. Data were collected through structured interviews and questionnaires with 33 oil palm plantation workers. The variables studied included age, occupation, level of knowledge, family support, and specific exposure. Statistical analysis was performed using the chi-square test. The results showed that the incidence of anemia in plantation workers reached 14.7%. Occupational factors (p = 0.011) and family support (p = 0.005) had a significant relationship with the incidence of anemia. However, no significant relationship was found between age (p = 0.414), level of knowledge (p = 1.000), and exposure (p = 0.634) with the incidence of anemia. This study concludes that occupational factors and family support contribute to the incidence of anemia in oil palm plantation workers. Further research is needed to explore other risk factors that may influence the incidence of anemia in this group.

Sainmatika Jurnal Ilmiah Matematika dan Ilmu Pengetahuan AlamVol. 22(1)
Sriwijaya University (ID), Universitas Pembinaan Masyarakat Indonesia Medan (ID)
Openalex Percentile: Top 94%
Public Health and Nutrition
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.