| Literature DB >> 25409962 |
Fernanda Cristina Carvalho Mattos Magno1, Monique Silveira da Silva2, Larissa Cohen1, Luciana d'Abreu Sarmento1, Eliane Lopes Rosado1, João Régis Ivar Carneiro1.
Abstract
BACKGROUND: Along with the augmentation in obesity rates in recent years, the demand for bariatric surgery has startlingly increased. Nutritional counseling in the preoperative period is very important because it contributes to higher success rate in the post-operative period. AIM: To assess the nutritional status of patients in a multidisciplinary program for the treatment of severe obesity and pre-operatively for bariatric surgery, characterizing the consumption of healthy nutrients.Entities:
Mesh:
Year: 2014 PMID: 25409962 PMCID: PMC4743515 DOI: 10.1590/s0102-6720201400s100008
Source DB: PubMed Journal: Arq Bras Cir Dig ISSN: 0102-6720
Characteristics of studied population
|
| % (n) |
| Female | 73 (22) |
| Male | 27 (8) |
|
| % (n) |
| Primary | 40 (12) |
| Secondary | 46 (14) |
| Bachelor's or equivalent | 14 (4) |
|
| % (n) |
| Diabetes mellitus type 2 | 40 (12) |
| Hypertension | 74 (22) |
| Dyslipidemia | 34 (10) |
|
| % (n) |
| 30 – 34,9 | 10 (3) |
| 35 – 39,9 | 44 (13) |
| 40 – 49,9 | 34 (10) |
| 50 – 60 | 12 (4) |
|
| % (n) |
| Yes | 50 (15) |
| No | 50 (15) |
|
| % (n) |
| Childhood | 3,3 (1) |
| Adolescence | 33,3 (10) |
| Adulthood | 63,3 (19) |
BMI=body mass index; %=percentage; n=patient number
Population anthropometric data expressed in means and standard deviation
| AC (cm) | |||
|---|---|---|---|
| 1st Appointment | 133,8 kg±32,3 | 50,8±14,5 | 128,8±23,6 |
| 2nd Appointment | 133,7 kg±39,1 | 51,4±16,8 | 127,7±30,6 |
| 3rd Appointment | 132,6 kg±42,2 | 50,9±18,3 | 125,5±18,7 |
| 4th Appointment | 136,2 kg±29,7 | 51,6±12,1 | 131,3±23,2 |
| 5th Appointment | 129,7 kg±12,8 | 49,5±2,9 | 128,5±16,4 |
BMI=body mass index; Kg=kilograms; Kg/m2=kilogram per square meter; AC=abdomen circumference; HQ=hip circumference; cm=centimeters
Unpaired t-Test (p<0,05) comparing 1st and 2nd appointments during pre-op
Caloric intake evaluation (means and standard deviation)
| Caloric intake (Kcal) | |
|---|---|
| 1st Appointment | 3658 ± 673 |
| 2nd Appointment | 2680 ± 309[ |
| 3rd Appointment | 2040 ± 194[ |
| 4th Appointment | 2220 ± 220[ |
| 5th Appointment | 2170 ± 199[ |
Kcal=kilolocalorie; ANOVA test with post hoc Bonferroni with 5% probability, where:
p<0.05 vs. 1st appointment,
p<0.05 vs 2nd appointment,
p<0.05 vs 3rd appointment,
p<0.05 vs 4th appointment
Figure 1Patient distribution along appointments vs meals per day
Figure 2Patient distribution vs fruit consumption along appointments
Patient distribution according to vegetable, greens and wholegrain product consumption along appointments
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| Yes | 80% | 61% | 100% | 80% | 90% |
| No | 20% | 39% | -- | 20% | 10% |
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| Yes | 60% | 82% | 91% | 90% | 94% |
| No | 40% | 18% | 9% | 10% | 6% |
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| Yes | 3% | 3% | 9% | 24% | 30% |
| No | 97% | 97% | 91% | 76% | 70% |