EE: Thermic Effect of Alcohol (2005)

Citation:
 
Study Design:
Class:
- Click here for explanation of classification scheme.
Quality Rating:
Research Purpose:

To evaluate the effects of alcohol consumption, controlled for the energy in alcohol and chronic effects of smoking, on resting energy expenditure (REE) in college-aged female social drinkers.

Inclusion Criteria:
  1. Understand and give written consent
  2. female between the ages of 21 and 35
  3. moderate smokers, > or equal to 15 cigarettes/d
  4. moderate drinkers, drinking about 3 and 10 drinks /wk, determined by the Michigan
  5. Alcoholism Screening Test (MAST) short form

 

Exclusion Criteria:
  1. Refusal to consent
  2. Pregnant women, or those who suspected they were pregnant
  3. those who obtained a high score on the MAST
  4. females on other drugs
  5. those with a history of mental illness
  6. subjects for whom alcohol or smoking would present an increased health risk
  7. inappropriate amounts of cigarettes, indicated by inordinately low carbon monoxide concentrations (<10 ppm)

The four conditions in this within-subjects design consisted of 1) smoke 2 cigarettes and consume 29 mL pure grain alcohol in grapefruit juice, 2) only the 29 ml alcohol in grapefruit juice, 3) smoke 2 cigarettes and drink 207 mL cranberry juice [1054 kJ = 252 kcal], and 4) 2 cigarettes alone.

A random numbers table was used to determine the order of conditions for each subject.  Subjects were scheduled for 4 afternoon or evening time periods lasting ~ 3 h each.

Description of Study Protocol:

Steady state”- not discussed

ANTHROPOMETRIC:

Ht measured ? yes

Wt measured ? yes

Lean body mass? Not discussed

Clinical:

Monitored heart rate? Not discussed

Body temperature? Not discussed

Medications administered? not discussed

Resting energy expenditure:

IC type: canopy collection apparatus

Equipment of Calibration:  not discussed

Coefficient of variation using std gases:  not discussed

Rest before measure: not discussed

Measurement length: initial REE was a 25-min baseline; the second 105-min test provided an after-treatment measure

Steady state:

Not discussed

Fasting length: abstain from food 6 h prior to appointment; abstain from alcohol 24 h prior; abstain from smoking 2 h prior; and abstain from caffeine 2 h prior

Exercise restrictions: not discussed

Room temp:  not discussed

No. of measures within the measurement period:  1 25-minute continuous measure at baseline and the second 105-min continuous after-treatment measure.

Were some measures eliminated? First 5 min of each metabolic test was eliminated

Were a set of measurements averaged? Baseline 20 min (4) for that day was treated as one block and the second REE was divided into 10-min blocks of REE

Coefficient of variation in subjects measures?  not discussed

Training of measurer? not discussed

Subject training of measuring process?  not discussed; likely with first 5 minute elimination/adaptation

Dietary---no special dietary treatment

Intervening factor:  physical activity was not assessed

MEASUREMENT TIMING:

Sleep or rest—quietly resting; tapped and asked to raise a finger every 5 min to ensure that subjects remained

Statistical tests

Within-subjects multivariate analysis of variance (MANOVA) and a repeated-measures MANOVA; Dunnett’s multiple-comparison procedure;  P<0.05 was established as significant.

Data Collection Summary:

Outcome(s) and other measures

  1. Dependent variables: IC-measured VO2 (ml/min), VCO2 (ml/min),RQ & RM(kcal/d).

  2. Independent variables of gender height, weight

  3. Smoking and alcohol nonconsumption were assessed before baseline tests by carbon monoxide and breathalyzer measures.

Blinding used: Yes; by use of grapefruit juice to mask the taste of alcohol.

Description of Actual Data Sample:

N = 16 females

3 eliminated d/t inordinately low carbon monoxide concentrations (< 10 ppm, indicating that they were not moderate smokers (i.e., > or equal to 15/cigarettes/d)

N=13

Age range, y: 23-35

Mean age, y:  28.8 +/-3.67 y

Mean Cigarettes smoked/day, n: 22.5 +/- 5.9 (range 15-30)

Mean alcoholic drinks, n:  5.7 +/- 2.87 (range 3-10)

Mean carbon monoxide conc, ppm:   23 +/- 10.6 (range 16.5-40.25 ppm)

Mostly white women

Summary of Results:

ANTHROPOMETRIC

Women

Mean+SD

Range

Wt, kg

not provided

not provided

Ht, cm

not provided

not provided

BMI

23.96         

(18.10-36.36)

Interaction between time and treatment was significant (p<0.0001), as well as a significant effect between treatments (p<0.01).

Analyses indicated that alcohol significantly (p <0.05) increased REE for 55 min after administration and again from 76 to 85 min after administration.

Similarly, in the alcohol + smoking condition, the REE increased significantly (p <0.05) from baseline for 45 min after administration and again 76-95 min after administration. Although mean values were higher than baseline from 45 to 75 min, these differences were not significant.

Smoking + isoenergetic food load condition did not show significant (P>0.05)increases in REE above baseline; the effects of alcohol on REE were not related to the energy content of the alcoholic drink.

Within the smoking only condition, there were no significant differences between any time period and baseline, indicating that smoking had no significant effects on the REE of these subjects (P>0.05). 

In conclusion, analyses indicated that alcohol significantly (p <0.05) increased REE for up to 95 min after ingestion [increases of 29.6 – 68.4 kJ or 124 – 287 kcal/24h], increases that could not be accounted for by the energy content of the drink alone. Smoking and alcohol together also raised REE above baseline but not more than alcohol alone.

Author Conclusion:

Author’s Conclusions:

As stated by the author in body of report:

“The results of this investigation indicate that alcohol significantly increased metabolic rate in a sample of young women social drinkers. Both alcohol conditions significantly increased REE for most of the evaluation session. This increase in REE was not attributable to the potential thermic effects of the energy in the drink because the increases were greater than the isoenergetic food-load condition.

“The increase in REE observed after alcohol administration was not attributable to the potential confounding of smoking, given that many consumers of alcohol also smoke, because the smoking + alcohol condition did not increase REE more than did the alcohol-alone condition. If anything, smoking tended to blunt the thermic effects of alcohol.

“The findings are also consistent with initial studies reporting that alcohol increases REE.

“The current investigation is consistent with another recent study that suggests that energy wastage occurs even among healthy, young, social drinkers, and it appears that elevated metabolic rate is the mechanism of action for this excess energy expenditure.”

“Most studies find a significant increase in metabolic rate after food ingestion. However, the current food load, the energy equivalent of that found in the alcohol condition, was lower than is typically given in food studies and was in the form of simple carbohydrate, which typically does not produce as great of a thermic effect as other preloads.

Although the literature generally suggests that smoking increases metabolic rate, smoking two cigarettes after a 2-h abstinence probably is insufficient to produce sustained increases in metabolic rate.  There may be individual differences in metabolic rate, with some subjects not increasing, or even decreasing, metabolic rate as a function of smoking. Given that all subjects received all experimental procedures in the current study, the lack of consistent increase in the smoking and isoenergetic food-load condition serves to strengthen one’s confidence in the consistent pattern that alcohol increased metabolic rate among these subjects.”

“The results should nonetheless be viewed with some degree of caution. . . the current study used only women because the effects of alcohol on body weight are much greater in women relative to men. [and is unknown if] results will fully generalize to men. 

Additionally, . . . given the consistent observation that black women have higher rates of obesity than white women, the current findings [of white women] need to be extended to determine whether the effects replicate among various populations at risk for obesity.  

The research design would have been stronger had it included an isoenergetic-replacement-only treatment.  Addition of juice to the alcohol is not an optimal method of assessing the “pure” thermic effect of alcohol. However, the potential compromise was weighed against the desire to have subjects blinded to treatment condition. Given that both juices were identical in energy content, one can readily infer the thermic effect of alcohol.

[Another limitation is the] current study evaluated the metabolic effects of alcohol as a result of ingesting approximately two drinks.

“In summary, alcohol increased metabolic rate in a sample of young, nonalcoholic, healthy women."

Funding Source:
Government: NIDDK, State of Tennessee
University/Hospital: Memphis State University, University of Tennessee,
Reviewer Comments:

Strengths:

Randomized treatments

Limitations:

Small sample size

? generalizability; sample consisted of young, white women and nonalcoholics; may not be generalizable to men, older women or women of different ethnic backgrounds or chronic alcoholics

Alcohol commonly consumed with a meal (mixture of carbohydrate, protein and fat) rather than a beverage (simple carbohydrates); not known what effect of alcohol on REE would be with a meal

Accuracy of IC techniques such as machine machine calibration, steady state, and rest before measure were not addressed and may effect RMR measure

Physical activity of subjects not addressed

Quality Criteria Checklist: Primary Research
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? N/A
  1.2. Was (were) the outcome(s) [dependent variable(s)] clearly indicated? N/A
  1.3. Were the target population and setting specified? N/A
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? N/A
  2.2. Were criteria applied equally to all study groups? N/A
  2.3. Were health, demographics, and other characteristics of subjects described? N/A
  2.4. Were the subjects/patients a representative sample of the relevant population? N/A
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? 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? N/A
  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? N/A
  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? 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.) N/A
  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? 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? N/A
  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? No
  7.1. Were primary and secondary endpoints described and relevant to the question? N/A
  7.2. Were nutrition measures appropriate to question and outcomes of concern? N/A
  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? N/A
  7.5. Was the measurement of effect at an appropriate level of precision? N/A
  7.6. Were other factors accounted for (measured) that could affect outcomes? N/A
  7.7. Were the measurements conducted consistently across groups? N/A
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? N/A
  8.2. Were correct statistical tests used and assumptions of test not violated? N/A
  8.3. Were statistics reported with levels of significance and/or confidence intervals? N/A
  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)? N/A
  8.6. Was clinical significance as well as statistical significance reported? N/A
  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? N/A
  9.2. Are biases and study limitations identified and discussed? N/A
10. Is bias due to study's funding or sponsorship unlikely? Yes
  10.1. Were sources of funding and investigators' affiliations described? N/A
  10.2. Was the study free from apparent conflict of interest? N/A