Risk of Malnutrition in Adults Who Have Undergone Sleeve Gastrectomy: A Retrospective Study
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Design
2.2. Samples and Location
2.3. Data Collection and Instruments
2.4. Data Analysis
3. Results
3.1. Patients’ Characteristics
3.2. Gastrointestinal Symptoms and Nutritional Supplement Intake
3.3. Postoperative Change in BMI and Its Key Predictors
3.4. Postoperative Change in PNI and Its Key Predictors
3.5. Postoperative Change in Hemoglobin and Its Key Predictors
4. Discussion
4.1. Postoperative Change in BMI and Its Key Predictors
4.2. Postoperative Change in PNI and Its Key Predictors
4.3. Postoperative Change in Hemoglobin and Its Key Predictors
4.4. Gastrointestinal Symptoms and Nutritional Supplement Intake
4.5. Study Limitations
5. Conclusions and Recommendations
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Variables | n | % | |
---|---|---|---|
Sex | |||
Male | 52 | 43.3 | |
Female | 68 | 56.7 | |
Education level | |||
Middle school and below | 10 | 8.3 | |
High school | 37 | 30.8 | |
College and above | 73 | 60.9 | |
Diagnosis | |||
Morbid obesity | 120 | 100 | |
Sleep apnea | 56 | 46.7 | |
Fatty liver | 73 | 60.8 | |
Polycystic ovary syndrome | 9 | 7.5 | |
Mean | SD | Range | |
Age | 36.5 | 8.4 | 20–55 |
Charlson Comorbidity Index | 1.6 | 1.0 | 0–4 |
Number of outpatient visits | 6.0 | 1.4 | 3–10 |
Number of nutritional consultations | 3.6 | 0.8 | 3–6 |
Variable | T0 | T1 | T2 | T3 | Chi-Square |
---|---|---|---|---|---|
n (%) | n (%) | n (%) | n (%) | ||
Abdominal bloating | - | 117 (97.5) | 102 (85) | 36 (30) | |
Reflux symptoms | - | 97 (80.8) | 86 (71.7) | 33 (27.5) | |
Nausea | - | 87 (72.5) | 46 (38.3) | 6 (5.0) | |
Vomit | - | 13 (10.8) | 10 (8.3) | 3 (2.5) | |
Constipation | - | 3 (2.5) | 3 (2.5) | 2 (1.7) | |
Diarrhea | - | 0 | 1 (0.8) | 1 (0.8) | |
Multivitamin intake | - | 5 (4.2) | 25 (20.8) | 35 (29.2) | |
Iron supplement intake | - | 0 (0) | 1 (0.8) | 5 (4.2) | |
Protein powder intake | - | 2 (1.7) | 5 (4.2) | 4 (3.3) | |
Level of obesity | - | 294.4 *** | |||
Underweight | 0 | 0 | 0 | 1 (0.8) | |
Healthy weight | 0 | 0 | 13 (10.8) | 23 (19.2) | |
Overweight | 0 | 3 (2.5) | 18 (15.0) | 35 (29.2) | |
Pre-obese | 0 | 13 (10.8) | 28 (23.3) | 33 (27.5) | |
Obese class I | 15 (12.5) | 37 (30.8) | 45 (37.5) | 21 (17.5) | |
Obese class II | 43 (35.8) | 38 (31.7) | 11 (9.2) | 4 (3.3) | |
Obese class III | 62 (51.7) | 29 (24.2) | 5 (4.2) | 3 (2.5) | |
Nutritional risk | 21.7 ** | ||||
Normal | 116 (96.7) | 112 (93.3) | 108 (90) | 96 (80) | |
Moderate | 3 (2.5) | 6 (5.0) | 11 (9.2) | 20 (16.7) | |
Severe | 1 (0.8) | 2 (1.7) | 1 (0.8) | 4 (3.3) | |
Anemia status | 12.8 * | ||||
Nonanemic | 109 (90.8) | 107 (89.2) | 101 (84.2) | 91 (75.8) | |
Anemic | 11 (9.2) | 13 (10.8) | 19 (15.8) | 29 (24.2) |
Variable | Time | Mean | SD | Range | GEE | |
---|---|---|---|---|---|---|
B | 95%CI | |||||
Body mass index | T3 | 27.7 | 5.0 | 18.0–49.6 | −13.5 *** | −14.1~−12.9 |
T2 | 30.2 | 5.3 | 21.10–53.5 | −10.9 *** | −11.5~−10.3 | |
T1 | 36.6 | 6.1 | 25.0–57.6 | −4.6 *** | −5.1~−4.0 | |
T0 | 41.0 | 6.2 | 32.4–65.7 | 0 | ||
PNI | T3 | 41.7 | 4.1 | 30.1–50.2 | −4.6 *** | −5.5~−3.7 |
T2 | 43.1 | 3.6 | 32.1–52.2 | −3.2 *** | −4.0~−2.5 | |
T1 | 45.7 | 3.8 | 30.2–53.1 | −0.6 * | −1.1~−0.1 | |
T0 | 46.3 | 3.6 | 34.0–54.2 | 0 | ||
Hemoglobin | T3 | 13.2 | 2.0 | 6.2–16.8 | −0.8 *** | −1.1~−0.5 |
T2 | 13.6 | 1.6 | 8.6–17.7 | −0.4 *** | −0.7~−0.2 | |
T1 | 13.8 | 1.5 | 9.3–16.9 | −0.2 | −0.5~−0.0 | |
T0 | 14.0 | 1.7 | 9.0–17.4 | 0 |
Independent Variable | Body Mass Index | Prognostic Nutritional Index | Hemoglobin | |||
---|---|---|---|---|---|---|
Dependent Variable | B | SE | B | SE | B | SE |
Intercept | 44.1 *** | 2.6 | 48.1 *** | 1.3 | 14.7 *** | 0.5 |
T3 vs. T0 | −11.0 *** | 0.9 | −3.3 ** | 1.1 | −1.2 *** | 0.3 |
T2 vs. T0 | −8.2 *** | 0.9 | −1.5 | 1.2 | −0.8 ** | 0.3 |
T1 vs. T0 | −1.7 | 0.9 | 1.4 | 1.1 | −0.6 | 0.3 |
Age | −0.1 | 0.1 | −0.0 | 0.0 | 0.0 | 0.0 |
Sex (female vs. male) | −0.6 | 1.0 | −0.8 | 0.5 | −1.7 *** | 0.2 |
Charlson Comorbidity Index | 1.0 | 0.6 | 0.2 | 0.3 | 0.1 | 0.1 |
Outpatient visits | −0.2 * | 0.1 | −0.1 | 0.1 | 0.0 | 0.0 |
Nutritional consultations | −0.3 | 0.2 | −0.2 | 0.2 | 0.1 | 0.1 |
Bloating (yes vs. no) | −0.7 | 0.5 | −0.5 | 0.5 | −0.2 | 0.2 |
Reflux symptoms (yes vs. no) | 0.1 | 0.3 | −0.7 | 0.5 | 0.0 | 0.2 |
Nausea (yes vs. no) | 0.1 | 0.4 | −0.2 | 0.4 | 0.1 | 0.1 |
Vomit (yes vs. no) | 0.4 | 0.5 | −0.3 | 0.8 | −0.2 | 0.3 |
Constipation (yes vs. no) | −0.3 | 0.6 | 1.6 * | 0.8 | −0.2 | 0.4 |
Diarrhea (yes vs. no) | 1.7 ** | 0.5 | 3.0 *** | 0.6 | −1.5 *** | 0.2 |
Multivitamin (yes vs. no) | 0.5 | 0.5 | 0.7 | 0.6 | −0.0 | 0.2 |
Iron supplement (yes vs. no) | 1.7 | 0.9 | −0.3 | 1.3 | −1.8 * | 0.8 |
Protein powder (yes vs. no) | 1.3 | 1.4 | 1.1 | 0.7 | 0.1 | 0.3 |
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Liao, W.-C.; Wang, T.-J.; Liu, C.-Y.; Liu, T.-P.; Liang, S.-Y.; Chang, K.-S. Risk of Malnutrition in Adults Who Have Undergone Sleeve Gastrectomy: A Retrospective Study. Nutrients 2023, 15, 3858. https://doi.org/10.3390/nu15173858
Liao W-C, Wang T-J, Liu C-Y, Liu T-P, Liang S-Y, Chang K-S. Risk of Malnutrition in Adults Who Have Undergone Sleeve Gastrectomy: A Retrospective Study. Nutrients. 2023; 15(17):3858. https://doi.org/10.3390/nu15173858
Chicago/Turabian StyleLiao, Wan-Chun, Tsae-Jyy Wang, Chieh-Yu Liu, Tsang-Pai Liu, Shu-Yuan Liang, and Ko-Shih Chang. 2023. "Risk of Malnutrition in Adults Who Have Undergone Sleeve Gastrectomy: A Retrospective Study" Nutrients 15, no. 17: 3858. https://doi.org/10.3390/nu15173858
APA StyleLiao, W. -C., Wang, T. -J., Liu, C. -Y., Liu, T. -P., Liang, S. -Y., & Chang, K. -S. (2023). Risk of Malnutrition in Adults Who Have Undergone Sleeve Gastrectomy: A Retrospective Study. Nutrients, 15(17), 3858. https://doi.org/10.3390/nu15173858