J Agric Med Community Health.  2017 Sep;42(3):119-131. 10.5393/JAMCH.2017.42.3.119.

The Level of Diabetes Management of Agriculture, Forestry, and Fishery Workers

Affiliations
  • 1Department of Preventive Medicine & Institute of Wonkwang Medical Science, Wonkwang University School of Medicine, Iksan, Korea. lyh8275@hanmail.net
  • 2Regional Cardiocerebrovascular Center, Wonkwang University Hospital, Iksan, Korea.

Abstract


OBJECTIVES
The purpose of this study was to compare the diabetic management indicators between agriculture, forestry, and fishery workers (AFF) and other occupational adults (non-AFF) in community-dwelling diabetes.
METHODS
The study population consisted of 22,127 diabetic population ≥19 years who participated in the 2015 Community Health Survey. Chi-square test and logistic regression analysis was used to compare the diabetic management indicators between AFF and non-AFF. Socioeconomic characteristics such as age, gender, education level, monthly household income, National Basic Livelihood Security status, and marital status was sequentially adjusted.
RESULTS
Among total diabetic population, 3,712 people (16.8%) was AFF and 18,415 people (83.2%) was non-AFF. The fully-adjusted odds ratio [OR] (95% confidence interval [CI]) of current non-medical treatment (0.72, 0.66-0.79), measurement of hemoglobin A1c (0.61, 0.55-0.67), screening for diabetic retinopathy (0.76, 0.70-0.83), screening for diabetic nephropathy (0.75, 0.70-0.81), non-alcoholic or moderate drinking (0.70, 0.64-0.78), nutrition label reading (0.83, 0.71-0.98), low salt preference (0.85, 0.78-0.93), dental examination (0.60, 0.54-0.66), scaling experience (0.84, 0.77-0.93), regular toothbrushing (0.66, 0.58-0.76), and diabetes management education (0.84, 0.77-0.92) was significantly lower in AFF compared to non-AFF. In contrast, the fully-adjusted OR (95% CI) of AFF's low stress level (1.39, 1.26-1.52) and adequate sleep duration (1.22, 1.13-1.32) was significantly higher than non-AFF, which are better indicators of diabetic management in AFF.
CONCLUSIONS
Overall, the level of diabetes management of AFF was not as good as that of non-AFF. In order to improve the level of diabetes management of AFF, a delicate diabetes intervention strategy considering the occupational characteristics of AFF will be needed.

Keyword

Behavior; Diabetes Mellitus; Disease management; Farmers

MeSH Terms

Adult
Agriculture*
Diabetes Mellitus
Diabetic Nephropathies
Diabetic Retinopathy
Disease Management
Drinking
Education
Family Characteristics
Farmers
Fisheries*
Forestry*
Health Surveys
Humans
Logistic Models
Marital Status
Mass Screening
Odds Ratio
Toothbrushing
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