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The Differences of Blood Sugar Levels Among Smoker Farmers and Non- Smoker Farmers: Data Analysis of the Integrated non-Communicable Disease Post (NCD) in Pakusari Public Health Centre of Jember Regency, Indonesia
Background: Farmers have to check their health status, including blood sugar levels. Diabetes mellitus is most commonly assessed using the fasting plasma glucose test. Aim: The objective of this study was to analyze the differences in blood sugar levels of smoker farmers and nonsmoker farmers in the...
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Published in: | International journal of caring sciences 2022-01, Vol.15 (1), p.561-569 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Online Access: | Get full text |
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Summary: | Background: Farmers have to check their health status, including blood sugar levels. Diabetes mellitus is most commonly assessed using the fasting plasma glucose test. Aim: The objective of this study was to analyze the differences in blood sugar levels of smoker farmers and nonsmoker farmers in the Posbindu report of Pakusari Health Center Jember. Material and Method: This study was a survey analysis, that used a cohort retrospective study design, which used secondary data. The population was all of the participants of Posbindu PTM at Pakusari health center Jember within inclusion criteria and who do not have any exclusion criteria with a number sample of 111 farmers. The data were analyzed from secondary data in the form of identity, smoking behavior, and the blood sugar level. The data of smoking behavior was used to perform smoking habits among farmers and their relationship with blood sugar level. The Chi-square test was used to answer the research questions. Results: The result showed that were no significant difference in blood sugar levels between smoker farmers and non-smoker farmers (X2=2.705; p-value >0.05 =1.000) but the analytical test used Mann Whitney Test get result significant relationship between age and smoking behavior (p-value = 0.026) and then this study shows there is significant relationship between gender and smoking behavior (p-value = 0.001). Conclusions: This study shows there is no difference in blood sugar levels between smoker farmers and nonsmoker farmers. Therefore, it is necessary to further identify the factors that affect blood sugar levels in farmers. |
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ISSN: | 1791-5201 1792-037X |