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Type 2 diabetes mellitus in relation to place of residence: evaluation of selected aspects of socio-demographic status, course of diabetes and quality of life--a cross-sectional study. | LitMetric

AI Article Synopsis

  • The study investigates how socio-demographic factors differ between type 2 diabetes patients living in urban vs. rural areas and how these differences affect metabolic control, complications, and quality of life.
  • A total of 274 patients were surveyed, with 28.2% from rural areas and 71.9% from urban areas, using self-reported questionnaires to gather data.
  • Results showed that rural residents had lower income and education levels, a higher body mass index, and shorter diabetes duration, but there were no significant differences in diabetes treatment methods, complications, metabolic control, or quality of life between the two groups.

Article Abstract

Introduction And Objective: This study aims at answering what are the differences in socio-demographic status of patients with type 2 diabetes living in the city and the countryside and what is the impact of a place of residence on the level of metabolic control, the incidence of complications of diabetes and quality of life (QoL).

Materials And Methods: 274 patients were divided into 2 groups: residents of rural areas-28.2% (n=77) and residents of urban areas-71.9% (n=197). Self-reported questionnaires was used: EQ-5D, DQL-BCI and DSC-R.

Results: The group of residents of the countryside was characterized by a lower income and education level and a higher number of persons with disability pension. Patients living in the country had a higher body mass index in comparison to town inhabitants (32.6 kg/m(2) vs 30.9 kg/m(2), p=0.008) and shorter diabetes duration (8.4 versus 11.3 years, p=0.008). There were no differences between residents of the countryside and towns in terms of the method of treatment (oral antidiabetic drugs: 70.1% and 65.5%, p=0.3, Insulin: 29.9% and 36.5%, p=0.3, respectively), occurring chronic complications of diabetes (retinopathy: 14.3% and 14.2%, neuropathy: 6.5% and 7.6%, coronary heart disease: 44.45 and 37.1%, respectively) and the availability of diabetologists. Patients living in the countryside did not differ from town inhabitants in metabolic control and QoL assessment (EQ-5D index: 0.80 vs 0.79, p=0.9, EQ-VAS: 56.2 vs 54.3, p=0.2, DQL-BCI: 56.0 vs 53.9, p=0.1, DSC-R: 29.6 vs 29.4, p=0.7).

Conclusions: The socio-demographic differences between groups dependent on the place of living did not exert a significant influence on the level of metabolic control of diabetes, the incidence of late complications or QoL assessment in the population studied.

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