Background <p>Considering the increasing prevalence of diabetes, we aimed to evaluate the risk of diabetes in our sample and its relationship with sociodemographic and nutrition-related factors.</p> Methods <p>We conducted the study in Afyonkarahisar province of Turkiye with participants aged 18–65 years. In this face-to-face study, we used a questionnaire on sociodemographic information and general dietary habits and the FINDRISC screening tool. We also recorded participants’ 24-hour food recall and assessed anthropometric measurements. We analyzed epidemiological data using binary logistic regression models to assess possible risk factors associated with the presence of diabetes risk.</p> Results <p>Overall, this study included 3,990 participants, 50.03% (<i>n</i> = 1996) and 49.97% (<i>n</i> = 1994) of whom were males and females, respectively. The FINDRISC score was higher in females (<i>p</i> = 0.001), married individuals (<i>p</i> &lt; 0.001), those with lower education levels (<i>p</i> &lt; 0.001), and participants diagnosed with the disease by a doctor (<i>p</i> &lt; 0.001). Additionally, having a body mass index (BMI) of &gt; 30&#xa0;kg/m<sup>2</sup> increased the risk by 7.33 folds compared with having a BMI of &lt; 25&#xa0;kg/m<sup>2</sup>. Significant but very low correlation coefficients were found between main meal consumption, energy, lipid and iron intake and diabetes risk (<i>p</i> &lt; 0.001).</p> Conclusions <p>Our findings suggest that increasing age, increasing BMI, lower education level, and having a disease diagnosis can be significant risk factors for diabetes. However, more studies are needed to clarify risk factors, especially those related to nutrition.</p>

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Evaluation of sociodemographic and nutrition-related factors for type 2 diabetes risk: a sample from Turkiye

  • K. Esen Karaca-Çelik,
  • Dilek Toprak,
  • Murat Baş,
  • Leyla Tevfikoğlu,
  • Meryem Kahrıman,
  • Merve İnce-Palamutoglu,
  • Nurhan Doğan,
  • Dilşat Baş

摘要

Background

Considering the increasing prevalence of diabetes, we aimed to evaluate the risk of diabetes in our sample and its relationship with sociodemographic and nutrition-related factors.

Methods

We conducted the study in Afyonkarahisar province of Turkiye with participants aged 18–65 years. In this face-to-face study, we used a questionnaire on sociodemographic information and general dietary habits and the FINDRISC screening tool. We also recorded participants’ 24-hour food recall and assessed anthropometric measurements. We analyzed epidemiological data using binary logistic regression models to assess possible risk factors associated with the presence of diabetes risk.

Results

Overall, this study included 3,990 participants, 50.03% (n = 1996) and 49.97% (n = 1994) of whom were males and females, respectively. The FINDRISC score was higher in females (p = 0.001), married individuals (p < 0.001), those with lower education levels (p < 0.001), and participants diagnosed with the disease by a doctor (p < 0.001). Additionally, having a body mass index (BMI) of > 30 kg/m2 increased the risk by 7.33 folds compared with having a BMI of < 25 kg/m2. Significant but very low correlation coefficients were found between main meal consumption, energy, lipid and iron intake and diabetes risk (p < 0.001).

Conclusions

Our findings suggest that increasing age, increasing BMI, lower education level, and having a disease diagnosis can be significant risk factors for diabetes. However, more studies are needed to clarify risk factors, especially those related to nutrition.