| Literature DB >> 33769300 |
Janine Paul1,2, Rati Jani2, Peter Davoren1, Catherine Knight-Agarwal2.
Abstract
BACKGROUND: Globally, the prevalence of type 1 diabetes mellitus (T1DM) is rising. In 2020, a total of 124,652 Australians had T1DM. Maintaining optimal glycemic control (hemoglobin A1c ≤7.0%, ≤53 mmol/mol) on a standard carbohydrate diet can be a challenge for people living with T1DM. The Diabetes Complications and Control Trial established that macrovascular and microvascular complications could be reduced by improving glycemic control. Recent studies have found that a very low or low carbohydrate diet can improve glycemic control. However, the overall evidence relating to an association between a very low or low carbohydrate diet and glycemic control in people living with T1DM is both limited and mixed. In addition, research has suggested that a reduced quality of life due to anxiety and depression adversely influences glycemic control. Despite a potential link between a very low or low carbohydrate diet and optimal glycemic control, to our knowledge, no research has examined an association between a low carbohydrate diet, quality of life, and glycemic control, making this study unique in its approach.Entities:
Keywords: HbA1c; adults; diet; low carbohydrate; quality of life; type 1 diabetes
Year: 2021 PMID: 33769300 PMCID: PMC8088871 DOI: 10.2196/25085
Source DB: PubMed Journal: JMIR Res Protoc ISSN: 1929-0748
Study phase 1: online Australian diabetes-specific quality of life questionnaire completed by adults with type 1 diabetes mellitus (n=25-30).
| Questionnaire section | Brief description of items | Source |
| Section 1: information sheeta | Overview of the study | N/Ab |
| Section 2: screening questionsc | Assessment of study eligibility | N/A |
| Section 3: consent forma | Signed by participant | N/A |
| Section 4: Australian diabetes-specific quality of life questionsd | A 28-item questionnaire containing 4 constructs measuring diabetes quality of life using a 10-point Likert scale from “very strongly disagree to “very strongly agree” | Adapted from [ |
| Section 5 | Data collection: gender, age, height, weight, diabetes duration, occupation, level of education, etc | Adapted from [ |
aParticipant information and consent form are to be completed online.
bN/A: not applicable.
cScreening questions are to be completed online. The response to each question is yes or no. The questions include the following: “I have type 1 diabetes mellitus,” “I am 18 years or older,” and “I have had type 1 diabetes mellitus for one year or longer.”
dAustralian diabetes-specific quality of life questions were developed using previously validated questionnaires [48,57]; input will be collected by the research team through one-to-one participant interviews.
Study phase 2a–initial validation: online Australian diabetes-specific quality of life questionnaire completed by adults with type 1 diabetes mellitus (N=364).
| Questionnaire section | Brief description of items | Source |
| Section 1: information sheeta | Overview of the study | N/Ab |
| Section 2: screening questionsc | Assessment of study eligibility | N/A |
| Section 3: consent forma | Signed by participant | N/A |
| Section 4: Australian diabetes-specific quality of life questionnaire | A 28-item questionnaire containing 4 constructs measuring diabetes quality of life using a 10-point Likert scale from “very strongly disagree” to “very strongly agree” | Adapted from [ |
| Section 5: sociodemographic covariates | Data collection: gender, age, height, weight, diabetes duration, occupation, level of education, etc | Adapted from [ |
aParticipant information and consent form are to be completed online.
bN/A: not applicable.
cScreening questions are to be completed online. The response to each question is yes or no. The questions include the following: “I have type 1 diabetes mellitus,” “I am 18 years or older,” and “I have had type 1 diabetes mellitus for one year or longer.”
Study phase 2b–subsequent validation: online Australian diabetes-specific quality of life, MOS SF-36, DQOL, and PAID-20 questionnaires completed by adults with type 1 diabetes mellitus (n=100).
| Questionnaire section | Brief description of items | Source |
| Section 1: information sheeta | Overview of the study | N/Ab |
| Section 2: screening questionsc | Assessment of study eligibility | N/A |
| Section 3: consent forma | Signed by participant | N/A |
| Section 4: Australian diabetes-specific quality of life questionnaire | A 28-item questionnaire containing 4 constructs measuring diabetes quality of life using a 10-point Likert scale from “very strongly disagree” to “very strongly agree” | Adapted from [ |
| Section 5: MOS SF-36d | Measures of physical and psychological constructs of general well-being with varying response scales | [ |
| Section 6: DQOLe | A 43-item instrument consisting of 4 constructs (satisfaction, impact, social/vocational worry, diabetes-related worry). A Likert response format from “very satisfied” to “not satisfied” for the satisfaction construct and from “never” to “always” for the other constructs. | [ |
| Section 7: PAID-20f | A 20-item questionnaire that measures diabetes-related distress. Each item addresses a different issue associated with diabetes. A 5-point response scale is used from “not a problem to “serious problem”. | [ |
| Section 8: sociodemographic covariates | Data collection: gender, age, height, weight, diabetes duration, occupation, level of education, etc | Adapted from [ |
aParticipant information and consent form are to be completed online.
bN/A: not applicable.
cScreening questions are to be completed online. The response to each question is yes or no. The questions include the following: “I have type 1 diabetes mellitus,” “I am 18 years or older,” and “I have had type 1 diabetes mellitus for one year or longer.”
dMOS SF-36: Medical Outcomes Study 36-Item Short Form Health Survey.
eDQOL: Diabetes Quality of Life Measure.
fPAID-20: Problem Areas in Diabetes.
Figure 1The association between adults living with type 1 diabetes mellitus, quality of life, and glycemic control. CDE: credentialed diabetes educator; CHO: carbohydrate; PO: primary outcome; T1DM: type 1 diabetes mellitus.
Brief statistical plan.
| Statistical objectives | Independent variable | Dependent variable | Statistical analysis |
| To develop and pilot the Australian diabetes-specific quality of life questionnaire | Australian diabetes-specific quality of life questionnaire | N/Aa | Transcribe, code, and identify common themes in the interview data |
| To validate the Australian diabetes-specific quality of life questionnaire (study developed) | Australian diabetes-specific quality of life questionnaire | Factorial validation indicators: root mean square error of approximation, comparative fit index, and Tucker-Lewis index | Exploratory factor analysis, confirmatory factor analysis, and structural equation modelling |
| To examine the association between a low carbohydrate diet and glycemic control | Low carbohydrate diet | Glycemic control | Bivariate: ANOVAb and correlations. |
| To examine the association between quality of life and a low carbohydrate diet | Low carbohydrate diet | Quality of life | Bivariate: ANOVA and correlations. |
| To investigate whether a low carbohydrate diet mediates the relationship between quality of life and glycemic control | Low carbohydrate diet | Glycemic control and quality of life | Bivariate: ANOVA and correlations. |
aN/A: not applicable
bANOVA: analysis of variance