AWM: Eating Frequency and Patterns (2013)
To test whether individual eating styles are associated with overweight and obesity in a population sample of young adult twins and a sub-sample of monozygotic twins.
- Paraticipants in the FinnTwin16 study
- 16 years old at baseline.
Individuals with self-reported:
- Weight-affecting diseases
- Anorexia and bulimia nervosa
- Diabetes
- Inflammatory bowel disease
- Chronic diarrhea
- Celiac disease
- Hypo- or hyperthyroidism
- Lupus
- Mental retardation
- Malignancies
- Cerebral palsy
- Other mobility disorders.
Recruitment
Participants were recruited for the FinnTwin16 study. Recruitment methods were not outlined.
Design
Prospective cohort study.
Statistical Analysis
- Differences between eating styles and BMI and overweight/obesity categories were investigated using cross-tabulations, Pearson χ² test of independence and linear and logistic regression, all corrected for clustered sampling within twin pairs
- The relationship of categorical BMI at T4 and eating styles at T4 was assessed using polytomous logistic regression models, controlling for BMI at T1 and correcting for clustered sampling
- In twin analysis, Pearson and polychoric correlation coefficients were computed to assess intra-pair twin resemblance by zyosity group. Monozygotic twin pairs were compared using conditional logistic regression.
Timing of Measurements:
- Participants were assessed at baseline or T1 (16 years), age 17 (T2), 18.5 years (T3) and 22 to 27 years (T4) of age
- Data from responses at T1 and T4 were used in this study
- T1 was between 1991 and 1995
- Data was collected at T4 between 2000 and 2002.
Dependent Variables
BMI was calculated based on self-reported weight and height. Weight status was categorized based on BMI as follows:
- Normal weight: BMI less than 25kg/m2
- Mild overweight: BMI 25 to less than 27kg/m2
- Moderate overweight: BMI 27 to less than 30kg/m2
- Obesity: BMI 30kg/m2 or higher.
Independent Variables
- Eating styles as self-reported on questionnaire that assessed restrictive/overeating, snacking, health-conscious, emotional, and externally induced eating styles.
- Participants were asked to choose the one of four options that best characterized their eating styles.
Control Variables
Zygosity: Twins zygosity was determined by the baseline questionnaire and, when necessary, supplemented with photographs, fingerprints and DNA-marker studies. Twin pairs were classified as monozygotic, dizygotic or unknown zygosity.
- Initial N: 4,667 individuals (2,545 women and 2,122 men) were enrolled at baseline (T1)
- Attrition (final N): 4,393 individuals (2,333 women and 2,060 men) completed the study.
- 251 participants were excluded from the final data analysis because of exclusion factors identified at T4
- 23 individuals were excluded due to missing data on BMI at T4
- The sub-sample of monozygous twins included 358 female and 242 male twin pairs
- Age: 16 years at baseline
- Anthropometrics: BMI of the study population at baseline was not reported
- Location: Finland.
Key Findings
- Restrictive eating, overeating and alternating restricting/overeating at T4 were significantly more common in women than in men (P<0.0001) and significantly more common in obese than non-obese (P<0.0001)
- At T4, there was a lower likelihood of attempting to maintain a healthy eating style in overweight [mild overweight: OR women=0.6 (0.4 to 0.9, P<0.01); OR men=0.8 (0.6 to 1.0); moderate overweight: OR women= 0.4 (0.2 to 0.7, P<0.001); OR men=0.5 (0.4 to 0.7, P<0.001)] and obese [OR women=0.2 (0.1 to 0.3, P<0.001); OR men=0.4 (0.2 to 0.7, P<0.0001)] individuals compared to their normal-weight peers
- Restrictive eating, frequent snacking between meals, consuming food and snacks in the evening and avoiding fatty foods were associated with obesity in both men and women
- Both obese women (OR=4.4, 95% CI: 1.3 to 14.1, P<0.05) and overweight (OR=3.2, 95% CI: 1.3 to 7.9) men were significantly more likely to be prompted to eat by visual cues than their normal-weight peers
- When all eating styles were entered into a multi-variable model predicting obesity, controlling for gender and BMI at T1, restricting/overeating eating style at T4 was associated with obesity at T4 (OR=3.4, 95% CI: 2.2 to 5.3, P<0.001) and health-conscious eating style at T4 decreased the risk of obesity at T4 (OR=0.9, 95% CI: 0.8 to 1.0, P<0.01)
- When controlled for genetic background, restricting/overeating eating style was still statistically significantly associated with excess weight.
The Association of Regular, Restrictive and Overeating Eating Styles with Obesity
Regular Eating | Restrictive Eating | Frequent Overeating | Alternating Restricting/Overeating | |
Women | ||||
Mean BMI | 21.1 | 23.25 | 23.94 | 23.86 |
% Obese | 0.94 | 5.38 | 9.12 | 8.87 |
N | 1,376 | 260 | 449 | 124 |
Men | ||||
Mean BMI | 23.29 | 25.67 | 25.90 | 26.19 |
% Obese | 2.26 | 9.68 | 10.97 | 4.55 |
N | 1,590 | 62 | 383 | 22 |
Obesity is defined at BMI 30 or more.
The Association of Obesity and Eating Styles at T4, Adjusted for BMI at T1; Odds Ratios from the Best-fitting Multi-variable Logistic Regression Model
Both Genders N=4278 |
P-value | |
Odds Ratio (95% CI) | ||
Restrictive eating | 3.4 (2.2 to 5.3) | <0.001 |
Frequent overeating | 1.7 (0.9 to 3.4) | |
Alternating overeating and restricting | 2.6 (1.1 to 6.4) | |
Health-conscious eating | 0.9 (0.8 to 1.0) | <0.01 |
BMI at 16 years | 1.8 (1.7 to 1.9) | <0.001 |
Intra-pair Twin Correlations of BMI and Eating Styles by Twin Zygosity
Same-sex Twin Pairs | Opposite-sex Twin Pairs |
||||
Women | Men | ||||
MZ | DZ | MZ | DZ | ||
N (pairs)** | 358 | 297 | 242 | 288 | 614 |
BMI at T1 | 0.89 | 0.37 | 0.78 | 0.40 | 0.29 |
BMI at T4 | 0.79 | 0.42 | 0.79 | 0.26 | 0.24 |
Restrictive/overeating | 0.47 | 0.17 | 0.43 | * | 0.15 |
Frequent snacking between meals | 0.31 | 0.03 | 0.40 | 0.16 | 0.22 |
Frequent snacks replace meals | 0.45 | 0.33 | 0.36 | 0.23 | 0.00 |
Highest food consumption in the evening | 0.44 | 0.29 | 0.51 | 0.34 | 0.14 |
Grazing throughout the evening | 0.45 | 0.17 | 0.40 | 0.16 | 0.22 |
Eating while watching TV | 0.45 | 0.29 | 0.51 | 0.34 | 0.29 |
Health-conscious eating | 0.52 | 0.58 | 0.65 | 0.19 | 0.15 |
Avoiding fatty foods | 0.54 | 0.09 | 0.41 | 0.29 | 0.18 |
Avoiding calories | 0.42 | 0.20 | 0.40 | 0.33 | 0.15 |
Visual cues prompt eating | 0.49 | 0.37 | * | * | * |
Food used as a reward | 0.40 | 0.15 | 0.24 | 0.29 | 0.14 |
Comfort eating | 0.37 | 0.34 | 0.49 | 0.13 | 0.01 |
*Intra-pair correlation could not be computed because no twin pair was concordant for the presence of this trait.
**Only complete twin pairs of known zygosity who did not have chronic weight-affecting illnesses were included in the analysis (N=1,799 pairs).
- The authors conclude that eating styles of obese young adults differ markedly from their normal weight counterparts, with clear sex differences. Patterns of restrictive eating, overeating and alternating restrictive/overeating were most commonly associated with obesity.
- According to the authors, this study also implies that a genetic pre-disposition alone does not dictate body weight, but that environmentally influenced behavioral behavior patterns, such as eating styles and healthful eating choices, also make a difference.
Government: | European Union Frfty Framework Program, Academy of Finalnd | |
University/Hospital: | Helsinki University Central Hospital | |
Not-for-profit |
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- To identify healthy eating styles, an 11-item questionnaire was used. Five questions assessed snacking/grazing styles, three addressed health-conscious eating, two addressed emotional eating, and one addressed externally cued eating
- The data was based only on self-reported information and is subject to reporting error
- BMI was self-reported and subject to reporting error.
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? | ??? | |
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? | No | |
2.4. | Were the subjects/patients a representative sample of the relevant population? | ??? | |
3. | Were study groups comparable? | ??? | |
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? | ??? | |
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.) | 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? | 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? | ??? | |
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? | 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? | 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? | Yes | |
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? | ??? | |
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? | N/A | |
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? | No | |
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)? | 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? | 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 | |