Table 2.
Author | Employment status pre-surgery |
Employment status post-surgery |
BMI (kg/m2) pre-surgery |
Weight loss post-surgery based on pre-surgical assessed employment status | Weight regain post-surgery |
---|---|---|---|---|---|
Courtney et al. [26] |
E: 444/746 (59.5%) U: 273/746 (36.6%) Retired: 29/746 (3.9%) |
E: 707/1011 (69.9%)1 U: 212/1011 (21.0%)1 Retired: 92/1011 (9.1%)1 43% was documented <6 months, 60% 7–18 months, 41% 19–30 months post-surgery |
E pre: 43 (30–68) U pre: 44 (28–72) Retired pre: 44 (34–54) |
E pre: EWL 66% (6–169) U pre: EWL 55% (−159–122) E post: EWL 65% (−7–169)2 U post: EWL 56% (−159–159)2 Weight loss was measured 2 years post-surgery |
Unknown |
Mancini et al. [27] |
E: 158/238 (66.4%) Disabled and retired patients for 2 years were excluded. |
E: 199/238 (83.6%)3 Documented 2 years post-surgery |
44.9^ (41–50) |
U pre (n = 80): BMI 31.9 ± 6.7 (= 28.9% ∆BMI), EWL 70.8% ± 28.2 Weight loss was measured 2 years post-surgery |
Unknown |
Jambhekar et al. [28] |
E: 300/713 (42.1%) U: 98/713 (13.7%) Retired: 16/713 (2.2%) Disabled: 34/713 (4.8%) Students: 23/713 (3.2%) |
Unknown |
E pre: 46.0 ± 5.8 U pre: 45.7 ± 6 Retired pre: 43.4 ± 5.2 Disabled pre: 46.4 ± 6.4 Students pre: 47.2 ± 4.9 |
E pre: 32.4 kg ±13.4 U pre: 33.5 kg ±14.3 Retired pre: 19.7 kg ±7.9 Disabled pre: 21.5 kg ±6.7 Students pre: 49.0 kg ± unknown Weight loss is based on lowest weight noted ≤2 years post-surgery |
E pre: 3.8 kg U pre: 5.4 kg Retired pre: 7.9 kg Disabled pre: 0.6 kg Students pre: 3.5 kg Weight noted 2 years post-surgery minus lowest weight |
Keith et al. [29] |
E: 468/586 (80.0%) U: 43/586 (7.0%) Retired: 26/586 (4.4%), Disabled: 34/586 (5.8%), Student: 14/586 (2.3%) |
Unknown | 48.0 (44–54) | Unknown |
Classified as >15% weight regain 1 year post-surgery E pre: 99/468 (21.2%) U pre: 11/43 (25.6%), Retired pre: 1/26 (3.9%) Disabled pre: 7/34 (20.6%) Student pre: 4/14 (28.6%) |
Hanvold et al. [30] |
E or student: 101/162 (62.3%) U: 61/162 (37.7%) |
E or student: 109/162 (66.7%) U: 54/162 (33.3%) Documented 2 years post-surgery |
44.3 ± 5.1 |
U pre: 9/28 (32.1%) <50% EWL, 45/134 (33.6%) ≥50% EWL U pre: 25/81 (31.3%) BMI ≥30, 29/84 (35.4%) BMI <30 Weight loss was measured 2 years post-surgery |
Unknown |
Author |
Employment status pre-surgery |
Employment status post-surgery |
BMI pre-surgery |
Weight loss post-surgery based on post-surgical or unknown assessed employment status | Weight regain post-surgery |
Reid et al. [31] | Unknown |
E: 19/48 (39.6%) U: 29/48 (60.4%) Disabled: 5/29 (17.2%) Retired: 6/29 (20.7%) Timing of documentation is unknown |
E post: 55.0 ± 14.6 U post: 50.2 ± 12.1 |
E post: nadir BMI 30.1 ± 9.6 (= 45.3% ∆BMI), EWL 68.6% ±25.2 U post: nadir BMI 28.1 ± 8.0 (= 44.0% ∆BMI), EWL 78.9% ±48.6 Timing of measurement weight loss is unknown |
E post: BMI 36.3 ± 10.9 (= 17.1% ∆BMI). Weight regain was measured 9 ± 3 years post-surgery U post-op: BMI 33.2 ± 9.5 (= 15.4% ∆BMI). Weight regain was measured 10 ± 3 years post-surgery |
Velcu et al. [32] |
E: 14/41 (34.1%) U: 27/41 (65.8%) |
E: 16/41 (39.0%) 1 year post-surgery, 18/41 (43.9%) 5 years post-surgery U: 25/41 (60.9%) 1 year post-surgery, 23/41 (56.1%) 5 years post-surgery |
E pre: 51.1 ± 5.6 U pre: 55.7 ± 8.3 |
E (pre or post is unknown): BMI 28.6 ± 3.8 (= 44.0% ∆BMI) U (pre or post is unknown): BMI 32.1 ± 5.9 (= 42.4% ∆BMI) Weight loss was measured 3 years post-surgery |
E (pre or post is unknown): BMI 30.1 ± 5.5 (= 5.0% ∆BMI). U (pre or post is unknown): BMI 32.5 ± 5.5 (= 1.2% ∆BMI). Weight regain was measured 5 years post-surgery |
Diaz- Guerra et al. [33] | Unknown | Unknown | 53.2 ± 10 |
U or housewife (pre or post is unknown): 6/9 (66.6%) <50% EWL, 28/66 (42.4%) ≥50% EWL4 Weight loss was measured 5 years post-surgery |
Unknown |
Abbreviations: E employed, U unemployed, BMI Body Mass Index, EWL excess weight loss, post employment status is based on post-surgical assessment, pre employment status is based on pre-surgical assessment
Data is expressed in mean, unless otherwise stated in median(^)
1 Significant differences in rate of employment, unemployment and retirement between pre- and post-operative (p < 0.05)
2 Significant difference in %EWL between employed and unemployed patients post-op (p < 0.05)
3 Significant difference in rate of employment between pre- and post-operative (p < 0.0001)
4 Significant difference in the amount of unemployed patients with <50% EWL and ≥ 50% EWL (p < 0.01)