Purpose: As diet quality indices (DQI) are likely to be influenced by disease background, adapting the existing indices for each disease is crucial. No study has been adapted a DQI for patients with type 2 diabetes. We aimed to adapt healthy eating index and assess its validity for Iranian patients with type 2 diabetes mellitus (T2DM).
Methods: In this cross-sectional study, the analysis was conducted on 489 adults with T2DM. We adapted HEI and assessed its validity using construct validity. Construct validity was assessed using a 168-item semi-quantitative food-frequency questionnaire (FFQ). General linear model was used to assess associations between adapted HEI scores and demographic characteristics, anthropometric indices, physical activity and food and nutrient intakes.
Results: Adapted HEI were examined on 489 subjects (163 men and 326 women). Findings showed that in older subjects the mean adapted HEI score was greater than the younger ones. However, it was significant only in women ( = 0.01). Women with higher education level obtained the greater score ( < 0.001). The greatest mean score of the adapted HEI score in men was related to non-smokers. The mean score in both genders were raised following the increase in physical activity level ( < 0.05). Moreover, a reduction in the mean score of adapted HEI was observed in men with higher BMI compared to those with the lower one ( = 0.001).
Conclusion: Adapted HEI could successfully discriminate diet quality in patients with T2DM. Older and high-educated women were adhered greatly to high quality diets. The adapted DQI linked with greater physical activity level and non-smokers diabetic men with lower BMI.
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http://dx.doi.org/10.1007/s40200-020-00601-5 | DOI Listing |
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College of Life Science and Technology, Harbin Normal University, Harbin, China.
Background: Lavandula angustifolia Mill., a valuable aromatic plant, often encounters low temperature stress during its growth in Northeast China. Understanding the mechanisms behind its resistance to low temperatures is essential for enhancing this trait.
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Sensors (Basel)
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College of Computer Science and Information Engineering, Harbin Normal University, Harbin 150025, China.
To mitigate the impact of network security on the production environment in the industrial internet, this paper proposes a confidence rule-based security assessment model for the industrial internet that uses selective modeling. First, a definition of selective modeling tailored to the characteristics of the industrial internet is provided. Based on this, the assessment process of the Selectable Belief Rule Base (BRB-s) model is introduced.
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Division of Plastic Surgery, Department of Surgery, McMaster University, Hamilton, ON, Canada.
Given the aging population, plastic surgeons are increasingly faced with the challenge of balancing procedural bleeding risk with thromboembolic risk in patients receiving antithrombotic therapies undergoing elective procedures. Guideline recommendations remain unclear in this population, which contributes to heterogeneity in clinical practices. We present a practical approach that summarizes guideline recommendations to facilitate the perioperative management of patients requiring surgery who are already on antithrombotic agents.
View Article and Find Full Text PDFBMC Public Health
November 2024
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