MNT: Disorders of Lipid Metabolism (2015)
Citation:
Adachi M, Yanaoka K, Watanabe M, Nishikawa M, Kobayashi I, Hida E, Tango T. Effects of lifestyle education program for type 2 diabetes patients in clinics: a cluster randomized controlled trial. BMC Public Health. 2013; 13: 467.
PubMed ID: 23672733
Study Design:
Cluster Randomized Trial
Class:
A - Click here for explanation of classification scheme.
Quality Rating:

Research Purpose:
To examine the effect of lifestyle education using the structured individual-based education (SILE) program provided by registered dietitians for type 2 diabetes patients in primary care clinics by assessing changes in HbA1c levels, other clinical data and dietary intakes.
Inclusion Criteria:
- Age 20 to 79 years
- Type 2 diabetes
- HbA1c at least 6.5% (NGSP)
- Received treatment in medical clinics.
Exclusion Criteria:
Not reported.
Description of Study Protocol:
Recruitment
Volunteer general practitioners who agreed with the study purposes and procedures were recruited.
Design
- Six-month cluster randomized controlled trial with randomization at the practice level and two intervention arms
- General practitioners representing a primary care clinic were randomly assigned to either the Intervention Group (IG) or Control Group (CG) with the use of a randomization list.
Blinding Used
Patients were blinded to the assignment of education.
Intervention
Intervention Group (IG)
- The IG received structured individual-based lifestyle education that focused on the reduction in energy intake at dinner and an increase in vegetable intake at breakfast and lunch
- The program was structured in four steps
- Basic information on glycemic control
- Actions for glycemic control
- Daily activities for glycemic control
- Management of stress for glycemic control.
- Support for self-management of glycemic control, including diet, exercise and stress management, was provided by trained registered dietitians in three or four sessions
- Sedentary participants were encouraged to increase basal physical activity.
Control Group (CG)
The CG received general information and advice on dietary intake and glycemic control from registered dietitians.Statistical Analysis
- Intention-to-treat (ITT) analysis was conducted
- Last observation carried forward (LOCF) method and multiple imputation (MI) method were used for handling missing data. Per-protocol analysis with the complete data set was conducted as a sensitivity analysis.
- Mixed-effects linear models were used to exam the effects of the treatment and cluster effect:
- Model One: Crude model
- Model Two: Baseline-adjusted model
- Model Three: Baseline, gender, age and BMI-adjusted model
- Model Four: Multi-variate-adjusted model.
Data Collection Summary:
Timing of Measurements
Measurements of HbA1c, BMI, BP, lipid profile and dietary intake were made at baseline, at three months and at six months (end-point).
Dependent Variables
- HbA1c
- BMI
- BP
- FPG
- LDL
- HDL
- TG
- Dietary intake, including energy, vegetable, dietary fiber, carbohydrate, protein and fat (assessed using the FFQW82, a food frequency questionnaire developed consisting of a list of 82 foods).
Independent Variables
IG or CG.
Control Variables
- Medication use
- Physical activity.
Description of Actual Data Sample:
Initial N
193 (84 male, 109 female)
Attrition (Final N)
- 154 (84 in IG; 70 in CG)
- Overall dropout rate of 20% (20% for IG and 25% for CG).
Mean Age
61.3 years (60.4 years for IG and 62.3 years for CG).
Ethnicity
Not described
Anthropometrics
Not described.
Location
Japan.
Summary of Results:
Key Findings
- IG showed a significantly greater mean change in HbA1c from baseline compared with CG (-0.7% vs. -0.2%, -0.5% difference; P=0.004)
- A tendency toward improvement was observed for the other clinical outcome measures (BMI, FPG, systolic BP diastolic BP, LDL-cholesterol, HDL-cholesterol and TG), but the improvement was not statistically significant
- IG showed a significantly greater mean change in energy intake at dinner compared with the CG (-23kcal vs. -4kcal, -19 difference; P=0.031)
- IG showed a significantly greater mean change in vegetable intake for whole day compared with CG (35.1g vs. -0.2g, 35.3 difference; P=0.000), (LOCF, Model 1)
- IG showed a significantly greater mean change in vegetable intake for breakfast compared with CG (16.0g vs. -0.3g, 16.3 difference; P=0.001; LOCF, Model 1)
- IG showed a significantly greater mean change in vegetable intake for lunch compared with CG (13.1g vs. 0.5g, 9.5 difference; P=0.009; LOCF, Model 1).
Author Conclusion:
The structured individual-based lifestyle education by registered dietitians for glycemic control in primary care settings has the potential to improve HbA1c levels in patients with type 2 diabetes.
Funding Source:
Government: | Ministry of Education, Culture, Sports, Science and Technology in Japan Grant-in-Aid for Scientific Research | |
Not-for-profit |
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Reviewer Comments:
Strengths
- Cluster randomization design eliminates the possibility of contamination bias between intervention and control participants in the same clinic
- Use of FFQW82 helped to facilitate problem-solving and goal-setting strategies
- Proportions of patients using insulin were similar in each group, which could eliminate a significant bias.
- Only patients were blinded to the assignment of education
- Enrollment of seven to 13 patients per clinic was permitted, despite protocol requirement of 10 patients.
- Diabetes medication of some patients may have been changed during study period, which would bring about a bias
- Success of program was to some degree dependent on skills of dietitians
- Earlier assessment could be biased as a result of changes made only because subjects were conscious of being studied.
Quality Criteria Checklist: Primary Research
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Relevance Questions | |||
1. | Would implementing the studied intervention or procedure (if found successful) result in improved outcomes for the patients/clients/population group? (Not Applicable for some epidemiological studies) | Yes | |
2. | Did the authors study an outcome (dependent variable) or topic that the patients/clients/population group would care about? | Yes | |
3. | Is the focus of the intervention or procedure (independent variable) or topic of study a common issue of concern to dieteticspractice? | Yes | |
4. | Is the intervention or procedure feasible? (NA for some epidemiological studies) | Yes | |
Validity Questions | |||
1. | Was the research question clearly stated? | Yes | |
1.1. | Was (were) the specific intervention(s) or procedure(s) [independent variable(s)] identified? | Yes | |
1.2. | Was (were) the outcome(s) [dependent variable(s)] clearly indicated? | Yes | |
1.3. | Were the target population and setting specified? | Yes | |
2. | Was the selection of study subjects/patients free from bias? | Yes | |
2.1. | Were inclusion/exclusion criteria specified (e.g., risk, point in disease progression, diagnostic or prognosis criteria), and with sufficient detail and without omitting criteria critical to the study? | Yes | |
2.2. | Were criteria applied equally to all study groups? | Yes | |
2.3. | Were health, demographics, and other characteristics of subjects described? | Yes | |
2.4. | Were the subjects/patients a representative sample of the relevant population? | Yes | |
3. | Were study groups comparable? | Yes | |
3.1. | Was the method of assigning subjects/patients to groups described and unbiased? (Method of randomization identified if RCT) | Yes | |
3.2. | Were distribution of disease status, prognostic factors, and other factors (e.g., demographics) similar across study groups at baseline? | Yes | |
3.3. | Were concurrent controls or comparisons used? (Concurrent preferred over historical control or comparison groups.) | Yes | |
3.4. | If cohort study or cross-sectional study, were groups comparable on important confounding factors and/or were preexisting differences accounted for by using appropriate adjustments in statistical analysis? | N/A | |
3.5. | If case control study, were potential confounding factors comparable for cases and controls? (If case series or trial with subjects serving as own control, this criterion is not applicable.) | N/A | |
3.6. | If diagnostic test, was there an independent blind comparison with an appropriate reference standard (e.g., "gold standard")? | N/A | |
4. | Was method of handling withdrawals described? | Yes | |
4.1. | Were follow-up methods described and the same for all groups? | Yes | |
4.2. | Was the number, characteristics of withdrawals (i.e., dropouts, lost to follow up, attrition rate) and/or response rate (cross-sectional studies) described for each group? (Follow up goal for a strong study is 80%.) | Yes | |
4.3. | Were all enrolled subjects/patients (in the original sample) accounted for? | Yes | |
4.4. | Were reasons for withdrawals similar across groups? | Yes | |
4.5. | If diagnostic test, was decision to perform reference test not dependent on results of test under study? | Yes | |
5. | Was blinding used to prevent introduction of bias? | Yes | |
5.1. | In intervention study, were subjects, clinicians/practitioners, and investigators blinded to treatment group, as appropriate? | Yes | |
5.2. | Were data collectors blinded for outcomes assessment? (If outcome is measured using an objective test, such as a lab value, this criterion is assumed to be met.) | Yes | |
5.3. | In cohort study or cross-sectional study, were measurements of outcomes and risk factors blinded? | N/A | |
5.4. | In case control study, was case definition explicit and case ascertainment not influenced by exposure status? | N/A | |
5.5. | In diagnostic study, were test results blinded to patient history and other test results? | N/A | |
6. | Were intervention/therapeutic regimens/exposure factor or procedure and any comparison(s) described in detail? Were interveningfactors described? | Yes | |
6.1. | In RCT or other intervention trial, were protocols described for all regimens studied? | Yes | |
6.2. | In observational study, were interventions, study settings, and clinicians/provider described? | N/A | |
6.3. | Was the intensity and duration of the intervention or exposure factor sufficient to produce a meaningful effect? | Yes | |
6.4. | Was the amount of exposure and, if relevant, subject/patient compliance measured? | Yes | |
6.5. | Were co-interventions (e.g., ancillary treatments, other therapies) described? | Yes | |
6.6. | Were extra or unplanned treatments described? | Yes | |
6.7. | Was the information for 6.4, 6.5, and 6.6 assessed the same way for all groups? | Yes | |
6.8. | In diagnostic study, were details of test administration and replication sufficient? | Yes | |
7. | Were outcomes clearly defined and the measurements valid and reliable? | Yes | |
7.1. | Were primary and secondary endpoints described and relevant to the question? | Yes | |
7.2. | Were nutrition measures appropriate to question and outcomes of concern? | Yes | |
7.3. | Was the period of follow-up long enough for important outcome(s) to occur? | Yes | |
7.4. | Were the observations and measurements based on standard, valid, and reliable data collection instruments/tests/procedures? | Yes | |
7.5. | Was the measurement of effect at an appropriate level of precision? | Yes | |
7.6. | Were other factors accounted for (measured) that could affect outcomes? | Yes | |
7.7. | Were the measurements conducted consistently across groups? | Yes | |
8. | Was the statistical analysis appropriate for the study design and type of outcome indicators? | Yes | |
8.1. | Were statistical analyses adequately described and the results reported appropriately? | Yes | |
8.2. | Were correct statistical tests used and assumptions of test not violated? | Yes | |
8.3. | Were statistics reported with levels of significance and/or confidence intervals? | Yes | |
8.4. | Was "intent to treat" analysis of outcomes done (and as appropriate, was there an analysis of outcomes for those maximally exposed or a dose-response analysis)? | Yes | |
8.5. | Were adequate adjustments made for effects of confounding factors that might have affected the outcomes (e.g., multivariate analyses)? | Yes | |
8.6. | Was clinical significance as well as statistical significance reported? | Yes | |
8.7. | If negative findings, was a power calculation reported to address type 2 error? | Yes | |
9. | Are conclusions supported by results with biases and limitations taken into consideration? | Yes | |
9.1. | Is there a discussion of findings? | Yes | |
9.2. | Are biases and study limitations identified and discussed? | Yes | |
10. | Is bias due to study's funding or sponsorship unlikely? | Yes | |
10.1. | Were sources of funding and investigators' affiliations described? | Yes | |
10.2. | Was the study free from apparent conflict of interest? | Yes | |