scholarly journals Association of individual and area-level socioeconomic conditions with quality of life and glycaemic control in 11- to 21-year-old adolescents with early-onset type 1 diabetes: a cross-sectional study

2018 ◽  
Vol 27 (12) ◽  
pp. 3131-3136 ◽  
Author(s):  
Christina Bächle ◽  
Anna Peneva ◽  
Werner Maier ◽  
Katty Castillo ◽  
Anna Stahl-Pehe ◽  
...  
Author(s):  
Dislene Nascimento dos Santos ◽  
Katia Nunes Sá ◽  
Fernanda C. Queirós ◽  
Alaí Barbosa Paixão ◽  
Kionna Oliveira Bernardes Santos ◽  
...  

2021 ◽  
Vol 84 (4) ◽  
pp. 552-558
Author(s):  
Gülsüm Şahin Bodur ◽  
Alev Keser ◽  
Zeynep Şıklar ◽  
Merih Berberoğlu

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1286-1286
Author(s):  
Nouf Altheyabi

Abstract Objectives Aim of the Study: (Instructions: state the goal you need to achieve) Evaluate the quality of life in children with type 1 diabetes. Specific Objectives: (Instructions: state the details of each objective that will finally lead to achievement of the goal) 1. To assess the quality of life in children and adolescents with type 1 diabetes using the HR-QOL questionnaire. 2. To determine the characteristics associated with quality of life in children with type 1 diabetes. Methods A descriptive cross-sectional study done in Pediatric Endocrinology clinic at the King Abdullah Specialist Children Hospital (KASCH). Quality of life was evaluated during a personal interview with each patient using the diabetes- specific quality of life (QOL) tool KINDL-R Diabetes Module (DM). The questionnaire consists of 41 items related to quality of life and diabetes. Demographics, anthropometric measurements, and HbA1c were reviewed from patient records. Results Overall quality of life was good with average score of (67.9%). There was no statistical difference between males and females in sub scale scores such as physical and emotional well-being. Also, there was no significant correlation between HbA1c, BMI and sub scale scores. Conclusions Poor glycemic control, BMI, and sex were not associated with worse QoL. Further studies to determine the optimal cut points for QoL scales are needed to identify T1D patients with poor QoL. Funding Sources in NGHA Riyadh.


2019 ◽  
Vol 35 (9) ◽  
pp. 1589-1595 ◽  
Author(s):  
Julio López-Bastida ◽  
Juan Pedro López-Siguero ◽  
Juan Oliva-Moreno ◽  
Luis Alberto Vázquez ◽  
Isaac Aranda-Reneo ◽  
...  

2018 ◽  
Vol 35 (11) ◽  
pp. 1523-1530 ◽  
Author(s):  
N. Saoji ◽  
M. Palta ◽  
H. N. Young ◽  
M. A. Moreno ◽  
V. Rajamanickam ◽  
...  

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