FNOA: Assessment of Overweight/Obesity (2012)
To investigate visceral fat mass in a cross-sectional study of healthy aging individuals and relate quantitative visceral fat mass to both age and insulin sensitivity.
- Community-dwelling
- Ambulatory and normally active
- Considered healthy by medical history, physical exam, ECG, complete blood count, routine blood and urine chemistries and thyroid function tests.
- Non-community dwelling
- Non-ambulatory
- Considered not healthy by medical history, physical exam, ECG, complete blood count, routine blood and urine chemistries and thyroid function test
- Taking medication known to affect glucose metabolism, blood pressure or lipids
- Demonstrated a diabetic response according to World Health Organization criteria during the oral glucose tolerance test.
- Recruitment: 60 healthy community-dwelling subjects between the ages of 23 and 83 completed the study. The study was designed to evaluate equal numbers of subjects in each decade who were at least 125% and less than 125% of the ideal body weight. The method of recruiting and sampling is not reported.
- Design: Cross-sectional study
- Blinding used: Implied with measurements
- Intervention: None
- Statistical analysis: Descriptive statistics and multivariate regression. In regression models, insulin sensitivity and intra-abdominal fat were examined both with and without transformation.
Timing of Measurements
After recruitment and signed consent was received, subjects underwent a physical exam which included quantification of intra-abdominal fat and subcutaneous abdominal fat masses by MRI; a 75-gram oral glucose tolerance test performed after a 12-hour fast with blood samples taken at 30, 60, 120 and 180 minutes after glucose ingestion; and insulin-sensitivity testing, using the frequently-sampled intravenous tolerance test, using exogenous insulin administration.
Dependent Variables
Insulin sensitivity (frequently sampled intravenous tolerance test with exogenous insulin administration).
Independent Variables
- Intra-abdominal fat and subcutaneous abdominal fat (MRI)
- Age.
Control Variables
BMI (calculated with measured height and weight).
- Initial N: 60 participants (15 men and 45 women)
- Attrition (final N): All participants were included in the analysis
- Age: Range, 23 years to 83 years
- Ethnicity: Not reported
- Other relevant demographics: Not reported
- Anthropometrics: No significant difference was noted in BMI or weight, among the age categories at baseline (age categories: 20 to 40 years, 40 to 60 years, 60 to 80 years)
- Location: Bowman Gray School of Medicine, Wake Forest University, Winston-Salem, North Carolina, USA.
Key Findings
- No relationship was observed between age and insulin-sensitivity for men or women
- BMI and weight did not increase with age in this cohort, however waist-to-hip ratio tended to increase with age in both men (R=0.43, P=0.11) and women (R=0.31, P=0.039)
- Intra-abdominal fat, expressed as total area and total area per kilogram body weight, increased significantly with age in both men (R=0.58, P=0.022) and women (R=0.48, P=0.0008)
- No association with age was noted for subcutaneous fat or total fat
- Glucose tolerance was significantly related to age in men (R=0.60, P=0.019) and approached significance in women (R=0.29, P=0.056)
- Associations of intra-abdominal fat with insulin-sensitivity were significant in both men (R=-0.68, P=0.0001) and women (R=-0.44, P=0.0024)
- Associations of waist-to-hip ratio and insulin-sensitivity were only significant in women (R=0.57, P=0.001)
- No correlation was found of the intra-abdominal fat ratio to insulin-sensitivity in either women or men
- Intra-abdominal fat was significantly associated with the glucose AUC in both men (R=0.52, P=0.048) and women (R=0.44, P=0.0026)
- Waist-to hip ratio was significantly associated with glucose AUC in women only (R=0.42, P=0.004).
Multivariate Analysis
- Models including gender-fat interaction and log (intra-abdominal fat) explained 13% more of the variance in insulin-sensitivity than the model containing waist-to-hip ratio
- Models including gender, age, fat measurements and gender-age interactions; the model including intra-abdominal fat accounted for 51% of the variance in insulin-sensitivity.
- Our data indicate that aging is associated with changes in body composition reflected by an increase in waist-to-hip ratio, but more notably by the accumulation of intra-abdominal fat. This accumulation of intra-abdominal fat occurred despite controlling for the association of body weight and BMI with age in this study.
- The major finding of this study is that measures of body composition such as waist-to-hip ratio and intra-abodominal fat accounted for 28% and 51%, respectively, of the variance in insulin-sensitivity. Age accounted for approximately 1% of the variance.
Government: | National Institutes of Health |
University/Hospital: | Bowman Gray School of Medicine, Wake Forest University |
- The method of sampling and recruiting is unknown. The authors state that the study was designed to evaluate equal numbers of subjects in each decade who were at least 125% and less than 125% of ideal body weight. It is unknown how this was accomplished and whether the sampling method introduced bias.
- No demographics were reported for the participants. The age range suggests that the study was open to participants of any age (perhaps limited to adults), but that is unknown.
- Details of the statistical analysis performed are limited
- Sample size differences in men and women may account for some of the non-significant findings with regard to waist-to-hip ratio and insulin-sensitivity in men than showed an overall significant trend. No power calculation was reported.
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) | N/A | |
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) | N/A | |
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? | No | |
2. | Was the selection of study subjects/patients free from bias? | No | |
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? | No | |
2.2. | Were criteria applied equally to all study groups? | ??? | |
2.3. | Were health, demographics, and other characteristics of subjects described? | No | |
2.4. | Were the subjects/patients a representative sample of the relevant population? | ??? | |
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.) | 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%.) | N/A | |
4.3. | Were all enrolled subjects/patients (in the original sample) accounted for? | Yes | |
4.4. | Were reasons for withdrawals similar across groups? | N/A | |
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? | Yes | |
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.) | Yes | |
5.3. | In cohort study or cross-sectional study, were measurements of outcomes and risk factors blinded? | Yes | |
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? | No | |
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? | No | |
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? | N/A | |
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? | ??? | |
8.1. | Were statistical analyses adequately described and the results reported appropriately? | No | |
8.2. | Were correct statistical tests used and assumptions of test not violated? | ??? | |
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)? | N/A | |
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? | No | |
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 | |