Predicting diabetes-related conditions in need of intervention: Lolland-Falster Health Study, Denmark.

ABSTRACT: In the Danish population, about one-in-ten adults have prediabetes, undiagnosed, poorly or potentially sub-regulated diabetes, for short DMRC. It is important to offer these citizens relevant healthcare intervention. We therefore built a model for prediction of prevalent DMRC. Data were derived from the Lolland-Falster Health Study undertaken in a rural-provincial area of Denmark with disadvantaged health. We included variables from public registers (age, sex, age, citizenship, marital status, socioeconomic status, residency status); from self-administered questionnaires (smoking status, alcohol use, education, self-rated health, dietary habits, physical activity); and from clinical examinations (body mass index (BMI), pulse rate, blood pressure, waist-to-hip ratio). Data were divided into

SUBMITTER: Lophaven S 

PROVIDER: S-EPMC10201856 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature