| Literature DB >> 22121419 |
Mostafa Abdel-Monhem Amr1, Tarek Tawfik Amin, Omar Ahmed Al-Omair.
Abstract
INTRODUCTION: Increased life expectancy due to recent medical advances has increased the need to understand more fully the quality of life (QoL) in patients with sickle cell disease (SCD) and factors predicting disease adaptation .The objectives of this study were to assess the impairment of health related quality of life (HRQoL) domains in a sample of Saudi Arabian adolescents with SCD.Entities:
Keywords: HRQoL; Sickle cell disease; adolescents; auality of life; disease complications; socio-demographics
Mesh:
Year: 2011 PMID: 22121419 PMCID: PMC3201577 DOI: 10.4314/pamj.v8i1.71057
Source DB: PubMed Journal: Pan Afr Med J
Sample characteristics of the included adolescents with sickle cell disease (SCD) and their comparable healthy adolescents
| 14-15 | 68(37.8) | 53(26.2) | 121(31.7) | 0.183 |
| 16-17 | 71(39.4) | 81(40.1) | 152(39.8) | |
| 18 | 57(31.7) | 68(33.7) | 125(32.7) | |
| Urban | 132(73.3) | 158(78.2) | 290(75.9) | 0.265 |
| Rural | 48(26.7) | 44(21.8) | 92(24.1) | |
| Primary | 27(15.0) | 4(2.0) | 31(8.1) | 0.008† |
| preparatory | 81(45.0) | 39(19.3) | 120(31.4) | |
| Secondary | 72(40.0) | 159(78.7) | 231(60.5) | |
| < Secondary | 101(56.1) | 94(46.5) | 195(51.0) | 0.0480 |
| Secondary or higher | 78(43.9) | 108(53.5) | 186(49.0) | |
| < Secondary | 106(58.9) | 109(54.0) | 215(56.3) | 0.332 |
| Secondary or higher | 74(41.1) | 93(46.0) | 167(43.7) | |
| < 2500 | 26(14.4) | 28(13.9) | 54(14.1) | 0.395 |
| 2500- < 6000 | 97(53.9) | 96(47.5) | 193(50.5) | |
| ≥ 6000 | 57(31.7) | 78(38.6) | 135(35.3) | |
| Hb SS | 146(81.1) | - | - | |
| Sickle-β+ Thalasemia | 26(14.4) | - | - | |
| Sickle-β0 Thalasemia | 5(2.8) | - | - | |
| Hb SC | 3(1.7) | - | - | |
| Vaso-occulsive | 29(43.3) | - | - | |
| Infections | 24(35.8) | - | - | |
| Acute chest syndrome | 3(4.4) | - | - | |
| Brain infarction | 6(9.0) | - | - | |
| Cholethiasis | 5(7.5) | - | - | |
| More than one complication | 27(40.3) | - | - | |
| 46(25.5) | - | - | ||
| 46(25.5) | - | - |
aChi Square
Comparison of Health related quality of life “SF36 subscales” between adolescents with sickle cell disease (SCD) and the comparison group
| P value | ||||||
| 58.34±20.76 | 0.849 | 80.25±23.45 | 0.901 | 0.988 | 0.001 | |
| 23.10±33.70 | 0.852 | 76.36±33.85 | 0.801 | -1.570 | 0.001 | |
| 43.04±41.43 | 0.870 | 51.32±41.27 | 0.803 | -0.200 | 0.051 | |
| 33.74±27.23 | 0.731 | 81.26±20.30 | 0.783 | -1.978 | 0.001 | |
| 46.51±18.03 | 0.714 | 54.73±17.60 | 0.812 | -0.461 | 0.001 | |
| General health | 37.58±22.04 | 0.694 | 66.81±14.65 | 0.781 | -1.562 | 0.001 |
| 53.89±18.32 | 0.740 | 61.19±18.32 | 0.801 | -0.398 | 0.001 | |
| 44.73±24.75 | 0.710 | 62.31±20.77 | 0.721 | -0.769 | 0.001 | |
SD=Standard Deviation, aChronbach’s alpha correlation coefficient
Health related quality of life domains (mean ±SD) among the included adolescents in relation to presence of sickle cell disease (SCD) and gender
| 59.96±21.23 | 79.48±24.27 | -0.856 | 0.001 | 53.41±18.58 | 84.67±17.95 | -1.711 | 0.001 | |
| 20.65±32.94 | 79.10±31.84 | -1.804 | 0.001 | 30.68±35.30 | 60.83±40.83 | -0.789 | 0.001 | |
| 43.72±42.77 | 55.23±40.69 | -0.275 | 0.061 | 48.82±12.93 | 42.89±27.90 | 0.273 | 0.199 | |
| 35.33±28.66 | 82.97±19.00 | -1.959 | 0.001 | 28.75±21.72 | 71.50±24.68 | -1.838 | 0.001 | |
| 46.59±18.86 | 57.12±16.12 | -0.600 | 0.001 | 46.25±15.33 | 41.00±19.63 | 0.289 | 0.201 | |
| 39.02±22.96 | 68.72±13.67 | -1.571 | 0.001 | 33.07±18.37 | 55.83±15.49 | -1.339 | 0.001 | |
| 55.51±18.62 | 63.33±17.35 | -0.435 | 0.001 | 48.81±12.93 | 48.93±19.19 | -0.007 | 0.975 | |
| 45.10±25.75 | 64.84±18.13 | -0.435 | 0.001 | 43.69±21.55 | 47.83±23.83 | -0.182 | 0.449 | |
SD=Standard Deviation
Health related quality of life scores (mean ±SD) in relation to presence of diseaserelated complications among adolescents with sickle cell disease
| 56.06±21.21 | 62.69±19.51 | -0.325 | 0.041 | |
| 16.95±31.33 | 34.92±35.22 | -0.539 | 0.001 | |
| 35.88±41.61 | 56.61±38.16 | -0.519 | 0.001 | |
| 32.41±24.44 | 36.55±31.94 | -0.145 | 0.333 | |
| 44.87±17.64 | 49.60±18.63 | -0.261 | 0.094 | |
| 35.04±21.54 | 42.46±22.47 | -0.337 | 0.031 | |
| 51.69±17.42 | 58.16±17.43 | -0.371 | 0.019 | |
| 43.39±24.84 | 47.62±24.53 | -0.171 | 0.275 | |
SD=Standard Deviation, aIncludes; vaso-occlusive crises, infections, acute chest syndrome, brain infarction, cholethiasis and others
Linear regression analysis models between mean scores of SF36 domains and sociodemographic and diseaserelated characteristics in adolescents with sickle cell disease (N=180)
| -.136(0.771) | -.146(0.157) | -.136(0.190) | -.175(0.026) | -.162(0.038) | -.198(0.011) | -.303(0.001) | -.250(0.016) | |
| .118(0.105) | -.141(0.144) | -.058(0.550) | .021(0.780) | -.168(0.024) | -.112(0.127) | .051(0.482) | .092(0.340) | |
| .088(0.224) | .130(0.137) | -.029(0.763) | .151(0.042) | .043(0.556) | .216(0.003) | -.077(0.107) | .020(0.638) | |
| .047(0.539) | .050(0.748) | .192(0.030) | .112(0.145) | .043(0.655) | .041(0.674) | .023(0.685) | .047(0.683) | |
| .147(0.041) | .137(0.121) | .081(0.831) | .051(0.873) | .126(0.091) | .025(0.831) | .093(0.481) | .143(0.098) | |
| -.159(0.012) | -.150(0.040) | -.023(0.631) | -.087(0.739) | -.182(0.033) | .152(0.033) | -.126(0.461) | -.167(0.041) | |
| -.121(0.214) | -.121(0.206) | -.095(0.323) | -.075(0.444) | -.024(0.801) | .052(0.577) | -.141(0.361) | -.090(0.672) | |
| -.162(0.011) | -.234(0.008) | -.271(0.004) | -.100(0.177) | -.141(0.052) | -.101(0.132) | -.095(0.300) | -.182(0.043) | |
| .201 | .235 | .132 | 0.099 | .129 | .171 | .190 | .137 | |
| 6.441 | 5.680 | 4.407 | 2.760 | 2.547 | 3.543 | 4.039 | 2.732 | |
| 67.7 | 58.168 | 97.76 | 63.32 | 85.65 | 77.38 | 110.98 | 90.77 | |
Age and frequency of hospital admissions were entered as continuous variables. Gender (0=female, 1=male), residence (0=rural, 1=urban), educational status (0=primary, 1=intermediate, 2=secondary).Family income (0= < 6000, 1= 6000 or more Saudi Riyals), genotype (0=SS, 1=others), complications (0=no 1=yes).