DM: Prevention of Type 2 Diabetes (2007)
The research purpose was to determine if a higher intake of dietary fats would be associated with a lower insulin sensitivity.
1. 40 to 69 yr of age
2. African-American, Hispanic or non-Hispanic white.
3. Normal glucose tolerance status or impaired glucose tolerance
Recruitment: The Insulin Resistance Atherosclerosis Study (IRAS) was conducted in 4 locations in 3 states. Subjects were recruited between October 1992 and April 1994. Subjects were recruited with a goal of including an equal distribution of ethnic groups, sex and age among the 4 clinical centers.
Design:
Cross-sectional analysis of OGTT results, insulin sensitivty measured by FSIGT, anthropometrics (height, weight, waist and hip circumference), physical activity, and dietary intake.
Blinding used (if applicable): Not applicable
Intervention: Not applicable
Statistical analysis:
Regression assumptions were evaluated in their data by using the rank transformation and log transformation. A regression model was constructed with total dietary fat as the independent variable with adjustment for potential confounders. Each type of dietary fat (g/d) was included in separate multiple-linear-regression models as the independent variable of interest, with adjustment for energy intake using total energy/d as a covariate. To evaluate whether associations between dietary fat and insulin sensitivity were independent of obesity, BMI and WHR were then added to the models.
Timing of Measurements
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2-hr, 75 g glucose OGTT to classify glucose status; those taking oral hypoglycemic agents at study entry were classified as diabetic.
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Insulin sensitivity: 50% glucose solution (0.3 g/kg body weight) andregular human insulin (0.03 U/kg) were injected at 0 and 20 minutes; blood samples were taken at –5, 2, 4, 8, 19, 22, 30, 40, 50, 70, 100 and 180 minutes; insulin sensitivity was calculated comparing the time course of glucose and the plasma insulin values.
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anthropometrics: height, weight, waist and hip circumference.
- medical history and health habit interviews
Dependent Variables:
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Insulin sensitvity as measured by an intravenous glucose tolerance test
Independent Variables:
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Dietary Fats
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physical activity: Questionnaire: usual frequency of vigorous activities and interviews to obtain detailed physical activities which were converted to METs.
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dietary intake: NCI-Health Habits and History Questionnaire was modified to include regional and ethnic foods
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Obesity
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Energy/day
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Sex
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Ethnicity
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Smoking status
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Self-report of a special diet
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Alcohol intake
Initial N: 1625
Attrition (Final N): 1173 subjects, 55% women
Age: 40-69 years
Ethnicity: 39% non-Hispanic white, 33% Hispanic, 28% African American (n=1173)
Other relevant demographics:
55% women; 57% had normal glucose tolerance, 28% had IGT, 15% had previously diagnosed undiagnosed NIDDM; 30% were sedentary and 52% were classified as obese using the National Center for Health Statistics cutpoints
Anthropometrics: 52% were obese; obese had a mean BMI of 33.0
Location:
Recruited from clinical centers in Los Angeles and Oakland, CA; San Luis Valley, CO; and San Antonio, TX
Insulin sensitivity measured by the FSIGT according to glucose tolerance status, 1992-1994
Other Findings:
Mean dietary intake:
1888 + 822 kcal
34.7% fat
12.2% saturated fat
6.7% PUFA
12.8% oleic acid
Percentage of dietary intake from fat was associated with rank of insulin sensitivity (r = - 0.06, P = 0.03) with log fasting insulin (r = 0.10, P <0.001) and with BMI (r = 0.10, P<0.001).
Higher fat intake was associated with lower insulin sensitivity in the obese (ß = -1.40, P = 0.03) but not among the nonobese (ß = 0.16, P = 0.80).
Insulin sensitivity (Si) by quintile of percentage of energy from total dietary fat, 1992-1994
Quintile | Fat | Si | Si (rank transformed) |
% of energy | (min-1 x pmol-1 x L) 10-5 | (min-1 x pmol-1 x L) 10-5 | |
1 (n=230) | 10.0-28.7 | 3.6±22.72 | 621.2 ± 333.2 |
2 (n=235) | 28.8-33.5 | 3.5 ± 18.5 | 617.2 ± 332.8 |
3 (n=239) | 33.6 -36.9 | 3.3 ± 23.7 | 578.1 ± 351.9 |
4 (n=236) | 37.0-40.7 | 2.8 ± 22.3 | 550.2 ± 331.5 |
5 (n-233) | 40.7-58.0 | 3.2 ± 23.5 |
569.2 ± 340.0
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Glucose Tolerance Status | Insulin Sensitivity |
(min-1 x pmol-1 x L) 10-5 | |
Normal glucose tolerance (n=667) | 4.4 (0-23.6) |
Impaired glucose tolerance (n=330) | 2.15 (0-13.7) |
Previously undiagnosed NIDDM2 (n=176) | 1.13 (0-16.2) |
All (n=1173) | 3.27 (0-23.6) |
Among individuals already at increased risk for insulin sensitivity due to obesity and perhaps a sedentary lifestyle, intakes of dietary fat, may worsen insulin sensitivity. This effect may be largely due to a mediating role of obesity in response to habitual consumption of a high fat diet.
Government: | NIH,NHLBI |
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) | N/A | |
3.2. | Were distribution of disease status, prognostic factors, and other factors (e.g., demographics) similar across study groups at baseline? | N/A | |
3.3. | Were concurrent controls or comparisons used? (Concurrent preferred over historical control or comparison groups.) | N/A | |
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? | Yes | |
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.) | Yes | |
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? | N/A | |
5. | Was blinding used to prevent introduction of bias? | No | |
5.1. | In intervention study, were subjects, clinicians/practitioners, and investigators blinded to treatment group, as appropriate? | N/A | |
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.) | No | |
5.3. | In cohort study or cross-sectional study, were measurements of outcomes and risk factors blinded? | No | |
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? | N/A | |
6.2. | In observational study, were interventions, study settings, and clinicians/provider described? | Yes | |
6.3. | Was the intensity and duration of the intervention or exposure factor sufficient to produce a meaningful effect? | N/A | |
6.4. | Was the amount of exposure and, if relevant, subject/patient compliance measured? | N/A | |
6.5. | Were co-interventions (e.g., ancillary treatments, other therapies) described? | N/A | |
6.6. | Were extra or unplanned treatments described? | N/A | |
6.7. | Was the information for 6.4, 6.5, and 6.6 assessed the same way for all groups? | N/A | |
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? | N/A | |
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? | N/A | |
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 | |