| Literature DB >> 27896232 |
Cristian Petri1, Laura Stefani1, Vittorio Bini2, Nicola Maffulli3, Stefania Frau2, Gabriele Mascherini1, Massimiliano De Angelis2, Giorgio Galanti1.
Abstract
PURPOSE: Lifestyle analysis is often used for primary and secondary prevention in many chronic metabolic diseases, including diabetes. Questionnaires are simple and common methods for first investigation risk of factors related to the perception of quality of life (QoL). The present study evaluates the feasibility to use questionnaires for first investigation of risk factors, and ascertain whether the results of such questionnaires are associated with the perception of QoL.Entities:
Keywords: diabetes; dietary habits; lifestyle; quality of life; questionnaires
Year: 2016 PMID: 27896232 PMCID: PMC5120755
Source DB: PubMed Journal: Transl Med UniSa ISSN: 2239-9747
Figure 1Frequency of consumption of different kind of food.
Figure 2QoL perception analysis and lifestyle habits.
Figure 3Score of Self perception of quality of life.
Questionnaire regarding knowledge of diabetes.
| Glycemia | Therapy | Diabetic foot | Qol | Total Score | |
|---|---|---|---|---|---|
| Man | 5.7 | 2.1 | 3.3 | 3.0 | 14.1 |
| Women | 5.1 | 1.7 | 5.0 | 3.0 | 14.8 |
| Total group | 5.4 | 1.9 | 4.0 | 3.0 | 14.4 |
Association between of haematological parameters and anthropometrics measurements
| hb% | chol | HDL | LDL | |||
|---|---|---|---|---|---|---|
| Spearman’s rho | hb% | Correlation Coefficient | 1.000 | −.218 | −.316 | −.076 |
| Sig. (2-tailed) | .083 | .012 | .562 | |||
| N | 74 | 64 | 62 | 60 | ||
| chol | Correlation Coefficient | −.218 | 1.000 | .280 | .805 | |
| Sig. (2-tailed) | .083 | .026 | .000 | |||
| N | 64 | 65 | 63 | 61 | ||
| HDL | Correlation Coefficient | −.316 | .280 | 1.000 | .110 | |
| Sig. (2-tailed) | .012 | .026 | .401 | |||
| N | 62 | 63 | 63 | 61 | ||
| LDL | Correlation Coefficient | −.076 | .805 | .110 | 1.000 | |
| Sig. (2-tailed) | .562 | .000 | .401 | |||
| N | 60 | 61 | 61 | 61 | ||
Correlation is significant at the 0.05 level (2-tailed).
Correlation is significant at the 0.01 level (2-tailed).