Importance of early weight loss and other predictors of lower weight loss in a commercial program: A secondary data analysis
Abstract Objective There is substantial inter‐individual variability in response to weight loss interventions and emerging evidence suggests that weight loss during the early weeks of an intervention may be predictive of longer‐term weight loss. This secondary analysis of data from a commercial prog...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-02-01
|
| Series: | Obesity Science & Practice |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/osp4.724 |
| _version_ | 1797294342663045120 |
|---|---|
| author | Christopher D. Coleman Jessica R. Kiel Liana L. Guarneiri Marjorie Bell Meredith L. Wilcox Kevin C. Maki Jessica L. Unick Satya S. Jonnalagadda |
| author_facet | Christopher D. Coleman Jessica R. Kiel Liana L. Guarneiri Marjorie Bell Meredith L. Wilcox Kevin C. Maki Jessica L. Unick Satya S. Jonnalagadda |
| author_sort | Christopher D. Coleman |
| collection | DOAJ |
| description | Abstract Objective There is substantial inter‐individual variability in response to weight loss interventions and emerging evidence suggests that weight loss during the early weeks of an intervention may be predictive of longer‐term weight loss. This secondary analysis of data from a commercial program therefore examined 1) the associations between early weight loss (i.e., week 4) with final visit weight loss and duration on the program, and 2) other predictors of lower weight loss at final visit. Methods Client charts of adults with overweight or obesity (N = 748) were analyzed. Clients were stratified into categories of weight loss at the week 4 (< and ≥2%, 3% and 4%) and final visits (< and ≥5% and 10%). Multivariate logistic regression was used to assess predictors of <5% and <10% final visit weight loss. Results The odds ratios for losing <5% or <10% of weight at the final visit were higher (49.0 (95% CI: 13.84, 173.63) and 20.1 (95% CI: 6.96, 58.06)) for clients who lost <2% or <3% compared to those who lost ≥2% or ≥3% at week 4. Other predictors of not losing a clinically relevant amount of weight included female sex, use of higher calorie meal plans and shorter time in the program, among others. Those who lost ≥2% at week 4 also had a significantly greater percent program completion (109.2 ± 75.2% vs. 82.3 ± 82.4, p < 0.01) compared with those who did not meet the 2% threshold. Conclusions Lower 4‐week weight loss was identified as a strong predictor of not losing a clinically relevant amount of weight. These results may be useful for the early identification of individuals who can be targeted for additional counseling and support to aid in attaining weight loss goals. |
| first_indexed | 2024-03-07T21:28:50Z |
| format | Article |
| id | doaj.art-83d1cff981f548bb932811c0adc2a0d7 |
| institution | Directory Open Access Journal |
| issn | 2055-2238 |
| language | English |
| last_indexed | 2024-03-07T21:28:50Z |
| publishDate | 2024-02-01 |
| publisher | Wiley |
| record_format | Article |
| series | Obesity Science & Practice |
| spelling | doaj.art-83d1cff981f548bb932811c0adc2a0d72024-02-27T03:30:31ZengWileyObesity Science & Practice2055-22382024-02-01101n/an/a10.1002/osp4.724Importance of early weight loss and other predictors of lower weight loss in a commercial program: A secondary data analysisChristopher D. Coleman0Jessica R. Kiel1Liana L. Guarneiri2Marjorie Bell3Meredith L. Wilcox4Kevin C. Maki5Jessica L. Unick6Satya S. Jonnalagadda7Department of Scientific and Clinical Affairs Medifast, Inc. Baltimore Maryland USADepartment of Scientific and Clinical Affairs Medifast, Inc. Baltimore Maryland USAMidwest Biomedical Research Addison Illinois USAMidwest Biomedical Research Addison Illinois USAMidwest Biomedical Research Addison Illinois USAMidwest Biomedical Research Addison Illinois USAThe Miriam Hospital's Weight Control and Diabetes Research Center Warren Alpert Medical School at Brown University Providence Rhode Island USADepartment of Scientific and Clinical Affairs Medifast, Inc. Baltimore Maryland USAAbstract Objective There is substantial inter‐individual variability in response to weight loss interventions and emerging evidence suggests that weight loss during the early weeks of an intervention may be predictive of longer‐term weight loss. This secondary analysis of data from a commercial program therefore examined 1) the associations between early weight loss (i.e., week 4) with final visit weight loss and duration on the program, and 2) other predictors of lower weight loss at final visit. Methods Client charts of adults with overweight or obesity (N = 748) were analyzed. Clients were stratified into categories of weight loss at the week 4 (< and ≥2%, 3% and 4%) and final visits (< and ≥5% and 10%). Multivariate logistic regression was used to assess predictors of <5% and <10% final visit weight loss. Results The odds ratios for losing <5% or <10% of weight at the final visit were higher (49.0 (95% CI: 13.84, 173.63) and 20.1 (95% CI: 6.96, 58.06)) for clients who lost <2% or <3% compared to those who lost ≥2% or ≥3% at week 4. Other predictors of not losing a clinically relevant amount of weight included female sex, use of higher calorie meal plans and shorter time in the program, among others. Those who lost ≥2% at week 4 also had a significantly greater percent program completion (109.2 ± 75.2% vs. 82.3 ± 82.4, p < 0.01) compared with those who did not meet the 2% threshold. Conclusions Lower 4‐week weight loss was identified as a strong predictor of not losing a clinically relevant amount of weight. These results may be useful for the early identification of individuals who can be targeted for additional counseling and support to aid in attaining weight loss goals.https://doi.org/10.1002/osp4.724meal replacementsnon‐responderweight loss |
| spellingShingle | Christopher D. Coleman Jessica R. Kiel Liana L. Guarneiri Marjorie Bell Meredith L. Wilcox Kevin C. Maki Jessica L. Unick Satya S. Jonnalagadda Importance of early weight loss and other predictors of lower weight loss in a commercial program: A secondary data analysis Obesity Science & Practice meal replacements non‐responder weight loss |
| title | Importance of early weight loss and other predictors of lower weight loss in a commercial program: A secondary data analysis |
| title_full | Importance of early weight loss and other predictors of lower weight loss in a commercial program: A secondary data analysis |
| title_fullStr | Importance of early weight loss and other predictors of lower weight loss in a commercial program: A secondary data analysis |
| title_full_unstemmed | Importance of early weight loss and other predictors of lower weight loss in a commercial program: A secondary data analysis |
| title_short | Importance of early weight loss and other predictors of lower weight loss in a commercial program: A secondary data analysis |
| title_sort | importance of early weight loss and other predictors of lower weight loss in a commercial program a secondary data analysis |
| topic | meal replacements non‐responder weight loss |
| url | https://doi.org/10.1002/osp4.724 |
| work_keys_str_mv | AT christopherdcoleman importanceofearlyweightlossandotherpredictorsoflowerweightlossinacommercialprogramasecondarydataanalysis AT jessicarkiel importanceofearlyweightlossandotherpredictorsoflowerweightlossinacommercialprogramasecondarydataanalysis AT lianalguarneiri importanceofearlyweightlossandotherpredictorsoflowerweightlossinacommercialprogramasecondarydataanalysis AT marjoriebell importanceofearlyweightlossandotherpredictorsoflowerweightlossinacommercialprogramasecondarydataanalysis AT meredithlwilcox importanceofearlyweightlossandotherpredictorsoflowerweightlossinacommercialprogramasecondarydataanalysis AT kevincmaki importanceofearlyweightlossandotherpredictorsoflowerweightlossinacommercialprogramasecondarydataanalysis AT jessicalunick importanceofearlyweightlossandotherpredictorsoflowerweightlossinacommercialprogramasecondarydataanalysis AT satyasjonnalagadda importanceofearlyweightlossandotherpredictorsoflowerweightlossinacommercialprogramasecondarydataanalysis |