The Relationship Between Basal Metabolism Index and Blood Sugar Levels Among Farmers: a Secondary Data Analysis of Non-Communicable Disease  in Public Health Center of Pakusari, Jember Regency, Indonesia

Rizki Rama Aji; Tantut Susanto; Latifa Aini Susumaningrum; Mokhlas Kholidi; Rismawan Adi Yunanto

doi:10.58545/jrcnp.v1i1.76

Authors

Rizki Rama Aji Undergraduate Nursing Program, Faculty of Nursing, Universitas Jember, Jember, Indonesia
Tantut Susanto Department of Community, Family and Geriatric Nursing, Faculty of Nursing, Universitas Jember, Indonesia https://orcid.org/0000-0002-9685-9869
Latifa Aini Susumaningrum Department of Community, Family and Geriatric Nursing, Faculty of Nursing, Universitas Jember, Indonesia https://orcid.org/0000-0002-0619-7700
Mokhlas Kholidi Community Health Nurses, Pakusari Health Center, Departement of Health of Jember Regency, Jember Indonesia
Rismawan Adi Yunanto Department of critical & emergency Nurses, Pakusari Health Center, Faculty of Nursing, Universitas Jember, Indonesia https://orcid.org/0000-0001-9668-8046

DOI:

https://doi.org/10.58545/jrcnp.v1i1.76

Abstract

Obesity is a risk factor for hyperglycemia. Farmers are a group of people at risk of obesity and hyperglycemia due to a lifestyle that consumes foods high in fat and carbohydrates. The aim of this study wants to analyze the relationship between body mass index and blood sugar levels of farmers in the report of Integrated Development Post of Non-Communicable Disease (Posbindu PTM) Pakusari Jember Health Center. The survey analysis study used a retrospective cohort study. A design was used to analyze secondary data of Posbindu PTM Pakusari Jember Health Center registered from January to October 2020 among 345 farmers. A population of 345 farmers was selected by purposive sampling to be used as research samples. Characteristics of participants, height and weight, and random blood sugar levels were measured through a health monitoring book (KMS Posbindu PTM). The chi-Square test was used to answer the objective of the study. Among 146 farmers identified that 46.6% were obese and 45.9% were hyperglycemia. There was a relationship between body mass index and blood sugar levels in farmers (p-value = 0.000). Indirectly, body mass index affects blood sugar levels, manifesting as diabetes mellitus and other complications. Therefore, obesity should be identified as a risk factor associated with farmers' blood sugar levels.

Keywords:

Blood Sugar Levels, Body Mass Index, Obesity, Farmers

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References

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