| Title |
Long-Term Relationship Between Tobacco Use and Weight Loss after Sleeve Gastrectomy
|
|---|---|
| Published in |
Obesity Surgery, April 2018
|
| DOI | 10.1007/s11695-018-3217-9 |
| Pubmed ID | |
| Authors |
Franco José Signorini, Virginia Polero, Germán Viscido, Luciano Navarro, Lucio Obeide, Federico Moser |
| Abstract |
Smoking cessation had been typically associated with weight gain. We have reported that there is no relationship between tobacco use and weight loss after bariatric surgery in the short term. The objective of this study was to establish the relationship between weight loss and the smoking habit in patients undergoing bariatric surgery and to analyze weight loss on severe smokers and on those patients who stopped smoking during the long-term postoperative period. One hundred eighty-four patients included in our previous study were contacted by phone at 7 years after sleeve gastrectomy. They were again divided into three groups: (A) smokers, (B) ex-smokers, and (C) non-smokers. Demographics and weight loss at 6, 12, 24, and 7 years were analyzed. Smokers were subdivided for further analysis into the following: group A1: heavy smokers, group A2: non-heavy smokers, group A3: active smokers after surgery, and group A4: quitters after surgery. Student test was used for statistics. One hundred two patients were included. The follow-up was 80.74 ± 7.25 month. Group A: 29 patients, group B: 34 patients, and group C: 39 patients. Mean BMI was 34.35 ± 8.44 kg/m2and the %EWL was 56.95 ± 27. The subgroup analysis showed the following composition: group A1: 6 patients, group A2: 23 patients, group A3: 23 patients, and group A4: 6 patients. Weight loss difference among groups and subgroups was statistically non-significant. This study reaffirms the hypothesis that weight loss among bariatric patients is independent from smoking habit even at long-term follow-up and regardless from cessation. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 11% |
| Student > Master | 2 | 7% |
| Student > Postgraduate | 2 | 7% |
| Student > Doctoral Student | 2 | 7% |
| Researcher | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 15 | 54% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 14% |
| Psychology | 3 | 11% |
| Nursing and Health Professions | 2 | 7% |
| Unspecified | 1 | 4% |
| Unknown | 18 | 64% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 April 2018.
All research outputs
#18,601,965
of 23,041,514 outputs
Outputs from Obesity Surgery
#2,570
of 3,410 outputs
Outputs of similar age
#255,561
of 328,966 outputs
Outputs of similar age from Obesity Surgery
#46
of 61 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,410 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 328,966 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.