Too Many Couch Potatoes Among Middle-Aged Inflammatory Bowel Disease Patients: Findings from the “BE-FIT-IBD-2” Study
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Design, Setting, and Ethical Considerations
2.2. Description of Data Collection for the Study Variables, Including PA Levels
2.3. Statistical Analysis
3. Results
3.1. Baseline Characteristics and PA Levels Across Age Groups
3.2. The Patient-Reported Disease Activity Through the PRO-2 Tool Does Not Appear to Differentiate the Levels of PA Based on Belonging or Not Belonging to Middle Age and Beyond
3.3. Factors Hindering PA and Willingness to Discuss PA with Their IBD Specialist in Both Groups
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Variable | Younger Patients (<50 Years, n = 149) | Middle-Aged and Older Adults (≥50 Years, n = 88) | p 1 |
---|---|---|---|
Age (y) | 33 (26–42) | 57 (54–61.75) | <0.0001 |
Gender | 0.08 2 | ||
Male | 73 (48.99%) | 54 (61.4%) | |
Female | 76 (51%) | 34 (38.6%) | |
IBD type | 0.786 2 | ||
Crohn’s disease | 62 (41.6%) | 39 (44.3%) | |
Ulcerative colitis | 87 (58.4%) | 49 (55.7%) | |
BMI (Kg/m2) | 23.84 (21.21–26.45) | 24.23 (21.48–26.6) | 0.316 |
Education level | 0.523 | ||
Primary | 43 (28.9%) | 20 (22.7%) | |
Secondary | 86 (57.7%) | 53 (60.2%) | |
Degree | 20 (13.4%) | 15 (17%) | |
Job status | 0.641 | ||
Unemployed | 69 (46.3%) | 41 (46.6%) | |
Employee | 35 (23.5%) | 24 (27.3%) | |
Entrepreneur | 19 (12.8%) | 12 (13.6%) | |
Worker | 9 (6%) | 5 (5.7%) | |
Student | 17 (11.4%) | 6 (6.8%) | |
Smoking status | 0.201 | ||
Active | 23 (15.4%) | 19 (21.6%) | |
Past smoker | 30 (20.1%) | 19 (21.6%) | |
Never | 96 (64.4%) | 50 (56.8%) | |
Alcohol consumer 3 (yes) | 11 (7.4%) | 12 (13.6%) | 0.172 2 |
Biologics/small molecules (yes) | 104 (69.8%) | 61 (69.3%) | 0.999 2 |
Previous biologics failure (yes) | 31 (20.8%) | 27 (30.7%) | 0.117 2 |
Steroids active use (yes) | 12 (8.1%) | 2 (2.3%) | 0.088 2 |
Steroids dose (mg) | 7.5 (5–18.5) | 12.5 (10) | 0.072 |
Major comorbidity | 0.998 | ||
Arthritis 4 | 40 (26.8%) | 34 (38.6%) | |
Hypertension | 17 (11.4%) | 23 (26.1%) | |
Dyslipidaemia | 28 (18.8%) | 30 (34.1%) | |
Diabetes | 7 (4.7%) | 12 (13.6%) | |
Nephropathy | 7 (4.7%) | 6 (6.8%) | |
Pneumopathy | 4 (2.7%) | 4 (4.5%) | |
Thyroid disease | 17 (11.4%) | 6 (6.8%) | |
Previous surgery | 67 (45%) | 31 (35.2%) | 0.172 2 |
Stable partner (yes) | 103 (69.1%) | 67 (76.1) | 0.297 2 |
Question Domain | Younger Patients (<50 Years, n = 149) | Middle-Aged and Older Adults (≥50 Years, n = 88) | p-Value 1 | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
CA | PA | IR | PD | CD | CA | PA | IR | PD | CD | ||
IBD as a block to PA | 5 (3.4%) | 39 (26.2%) | 44 (29.5%) | 22 (14.8%) | 39 (26.2%) | 17 (19.3%) | 27 (30.7%) | 21 (23.9%) | 6 (6.8%) | 17 (19.3%) | 0.04 |
IBD treatment as a block to PA | 2 (1.3%) | 12 (8.1%) | 49 (32.9%) | 12 (8.1%) | 74 (49.7%) | 6 (6.8%) | 5 (5.7%) | 37 (42%) | 4 (4.5%) | 36 (40.9%) | 0.670 |
PA as a trigger of IBD activity | 37 (24.8%) | 12 (8.1%) | 28 (18.8%) | 15 (10.1%) | 57 (38.3%) | 31 (35.2%) | 16 (18.2%) | 15 (17%) | 4 (4.5%) | 22 (25%) | 0.532 |
PA as an inducer of IBD complications | 9 (6%) | 15 (10.1%) | 27 (18.1%) | 21 (14.1%) | 77 (51.7%) | 9 (10.2%) | 11 (12.5%) | 21 (23.9%) | 9 (10.2%) | 38 (43.2%) | 0.918 |
PA can improve IBD | 21 (14.1%) | 60 (40.3%) | 35 (23.5%) | 5 (2.4%) | 28 (18.8%) | 7 (8%) | 29 (33%) | 32 (36.4%) | 3 (3.4%) | 17 (19.3%) | 0.977 |
PA can prevent IBD relapse | 19 (12.8%) | 66 (44.3%) | 42 (28.2%) | 13 (8.7%) | 9 (6%) | 6 (6.8%) | 23 (26.1%) | 46 (52.3%) | 7 (8%) | 6 (6.8%) | 0.126 |
My GP informed me about PA/IBD | 41 (27.5%) | 41 (27.5%) | 25 (16.8%) | 7 (4.7%) | 35 (23.5%) | 11 (12.5%) | 15 (17%) | 21 (23.9%) | 12 (13.6%) | 29 (33%) | 0.110 |
My IBDologist informed me about PA/IBD | 59 (39.6%) | 52 (34.9%) | 16 (10.7%) | 7 (4.7%) | 15 (10.1%) | 24 (27.3%) | 29 (33%) | 16 (18.2%) | 5 (5.7%) | 14 (15.9%) | 0.318 |
My social network stimulated me to do PA | 68 (45.6%) | 48 (32.2%) | 13 (8.7%) | 9 (6%) | 11 (7.4%) | 24 (27.3%) | 21 (23.9%) | 13 (14.8%) | 21 (23.9%) | 21 (23.9%) | 0.181 |
My social network dissuade me from doing PA | 0 (0%) | 22 (14.8%) | 22 (14.8%) | 17 (11.4%) | 88 (59.1%) | 0 (0%) | 15 (17%) | 15 (17%) | 10 (11.4%) | 48 (54.5%) | 0.568 |
Before my IBD diagnosis, I had a greater tendency to engage in regular PA | 25 (16.8%) | 32 (21.5%) | 31 (20.8%) | 8 (5.4%) | 53 (35.6%) | 18 (20.5%) | 13 (14.8%) | 26 (29.5%) | 5 (5.7%) | 26 (29.5%) | 0.669 |
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Gravina, A.G.; Pellegrino, R.; Palladino, G.; Zanini, A.; Federico, A.; Zingone, F. Too Many Couch Potatoes Among Middle-Aged Inflammatory Bowel Disease Patients: Findings from the “BE-FIT-IBD-2” Study. Gastroenterol. Insights 2024, 15, 963-975. https://doi.org/10.3390/gastroent15040067
Gravina AG, Pellegrino R, Palladino G, Zanini A, Federico A, Zingone F. Too Many Couch Potatoes Among Middle-Aged Inflammatory Bowel Disease Patients: Findings from the “BE-FIT-IBD-2” Study. Gastroenterology Insights. 2024; 15(4):963-975. https://doi.org/10.3390/gastroent15040067
Chicago/Turabian StyleGravina, Antonietta Gerarda, Raffaele Pellegrino, Giovanna Palladino, Annalisa Zanini, Alessandro Federico, and Fabiana Zingone. 2024. "Too Many Couch Potatoes Among Middle-Aged Inflammatory Bowel Disease Patients: Findings from the “BE-FIT-IBD-2” Study" Gastroenterology Insights 15, no. 4: 963-975. https://doi.org/10.3390/gastroent15040067
APA StyleGravina, A. G., Pellegrino, R., Palladino, G., Zanini, A., Federico, A., & Zingone, F. (2024). Too Many Couch Potatoes Among Middle-Aged Inflammatory Bowel Disease Patients: Findings from the “BE-FIT-IBD-2” Study. Gastroenterology Insights, 15(4), 963-975. https://doi.org/10.3390/gastroent15040067