| Literature DB >> 32470098 |
Toyohiro Hamaguchi1,2, Jun Tayama2,3, Makoto Suzuki4, Naoki Nakaya1,2, Hirokazu Takizawa1, Kohei Koizumi1, Yoshifumi Amano1, Motoyori Kanazawa3, Shin Fukudo3.
Abstract
Irritable bowel syndrome (IBS) is a common bowel disorder that manifests as unexplained abdominal pain or discomfort and bowel habit changes in the form of diarrhea, constipation, or alternating patterns of the two. Some evidences demonstrate that increased physical activity improves IBS symptoms. Hence, daily exercise is recommended in these patients. In this study, we aimed to investigate the relationship between physical activity and gastrointestinal symptoms in 101 university students (female = 78) with IBS. Participants were examined by Gastrointestinal Symptoms Rating Scale (GSRS), and gait steps were measured for 1 week using a pedometer. The association between the GSRS score and pedometer counts was determined by ordinal logistic modeling analysis. The ordinal logistic regression model for GSRS and locomotor activity showed a significant stepwise fit (z = -3.05, p = 0.002). The logistic curve separated GSRS score of 5 points (moderately severe discomfort) from 2 points (minor discomfort) by locomotor activity. The probability for daily locomotor activity to discriminate between 5 and 4 points of GSRS (i.e., likely to have reverse symptoms) decreased in accordance with increment of steps per day: 78% probability for 4000 steps, 70% probability for 6000 steps, 59% probability for 8000 steps, and 48% probability for 10000 steps. This study demonstrated that the severity of GSRS is associated with the amount of walking in younger people with IBS. These results may be used as a measure to determine the daily step count to reduce the severity of gastrointestinal symptoms in individuals with IBS.Entities:
Mesh:
Year: 2020 PMID: 32470098 PMCID: PMC7259724 DOI: 10.1371/journal.pone.0234089
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Selection process of the study population and study design.
The survey was distributed to a total of 1240 university students during the study period. Data from 101 students who met the inclusion criteria were collected and statistically analyzed.
Participant characteristics.
| All | Female | Male | Statistics | |||
|---|---|---|---|---|---|---|
| Participants (n) | 101 | 78 | 23 | V = 0.12 | ||
| Age (years) | 20 ± 2 | 20 ± 2 | 20 ± 2 | t = -0.59 | ||
| Locomotor | 8126 ± 2570 | 7627 ± 2426 | 8272 ± 2608 | t = 1.37 | ||
| GSRS score | 2.6 ± .9 | 2.6 ± .9 | 2.7 ± .8 | t = -0.77 | ||
The locomotor activity is the number of daily step counts measured using a LifeCorder GS pedometer that participants carried for 1 week. The Gastrointestinal Symptoms Rating Scale (GSRS) score is adjusted by dividing the total score by the number of questions.
Fig 2Logistic probability plots of the relationship between GSRS score and pedometer counts.
(A) Scatterplots of Gastrointestinal Symptoms Rating Scale (GSRS) scores and daily pedometer counts in university students with IBS (n = 101). GSRS scores range from 7 indicating “very severe discomfort” to 1 “no discomfort at all.” Plots were realigned by GSRS scores and the one-week pedometer counts in participants with irritable bowel syndrome (IBS). (B) Logistic curves separated by GSRS scores of 5 (moderately severe discomfort) and 2 (broken line: minor discomfort), GSRS scores of 5 and 4 (solid line), and GSRS scores of 4 and 3 (chain line) were in a stepwise fit. Ordinal logistic regression model, z = -3.05, stepwise fit p = 0.002.
Fig 3Logistic probability plots of the relationship between GSRS score and pedometer counts in female participants.
(A) Scatterplots of Gastrointestinal Symptoms Rating Scale (GSRS) score and daily pedometer counts in female participants with irritable bowel syndrome (IBS) (n = 78). (B) Logistic curves separated by GSRS scores of 5 (moderately severe discomfort) and 2 (broken line: minor discomfort), GSRS scores of 5 and 4 (solid line), and GSRS scores of 4 and 3 (chain line) were in a stepwise fit. Ordinal logistic regression model, z = -2.44, stepwise fit p = 0.01.