Gianfrancesco Milena A, Acuna Brigid, Shen Ling, Briggs Farren B S, Quach Hong, Bellesis Kalliope H, Bernstein Allan, Hedstrom Anna K, Kockum Ingrid, Alfredsson Lars, Olsson Tomas, Schaefer Catherine, Barcellos Lisa F
Division of Epidemiology, Genetic Epidemiology and Genomics Laboratory, School of Public Health, University of California, Berkeley, CA, United States.
Kaiser Permanente Division of Research, Oakland, CA, United States.
Obes Res Clin Pract. 2014 Sep-Oct;8(5):e435-47. doi: 10.1016/j.orcp.2014.01.002. Epub 2014 Mar 6.
To investigate the association between obesity and multiple sclerosis (MS) while accounting for established genetic and environmental risk factors.
Participants included members of Kaiser Permanente Medical Care Plan, Northern California Region (KPNC) (1235 MS cases and 697 controls). Logistic regression models were used to estimate odds ratios (ORs) with 95% confidence intervals (95% CI). Body mass index (BMI) or body size was the primary predictor of each model. Both incident and prevalent MS cases were studied.
In analyses stratified by gender, being overweight at ages 10 and 20 were associated with MS in females (p<0.01). Estimates trended in the same direction for males, but were not significant. BMI in 20s demonstrated a linear relationship with MS (p-trend=9.60×10(-4)), and a twofold risk of MS for females with a BMI≥30kg/m(2) was observed (OR=2.15, 95% CI 1.18, 3.92). Significant associations between BMI in 20s and MS in males were not observed. Multivariate modelling demonstrated that significant associations between BMI or body size with MS in females persisted after adjusting for history of infectious mononucleosis and genetic risk factors, including HLA-DRB1*15:01 and established non-HLA risk alleles.
Results show that childhood and adolescence obesity confer increased risk of MS in females beyond established heritable and environmental risk factors. Strong evidence for a dose-effect of BMI in 20s and MS was observed. The magnitude of BMI association with MS is as large as other known MS risk factors.
在考虑既定的遗传和环境风险因素的情况下,研究肥胖与多发性硬化症(MS)之间的关联。
参与者包括北加利福尼亚地区凯撒医疗保健计划(KPNC)的成员(1235例MS病例和697例对照)。使用逻辑回归模型估计比值比(OR)及95%置信区间(95%CI)。体重指数(BMI)或体型是每个模型的主要预测因素。对新发和现患MS病例均进行了研究。
在按性别分层的分析中,10岁和20岁时超重与女性MS相关(p<0.01)。男性的估计结果趋势相同,但不显著。20多岁时的BMI与MS呈线性关系(p趋势=9.60×10⁻⁴),观察到BMI≥30kg/m²的女性患MS的风险增加两倍(OR=2.15,95%CI 1.18,3.92)。未观察到20多岁时的BMI与男性MS之间存在显著关联。多变量建模表明,在调整传染性单核细胞增多症病史和遗传风险因素(包括HLA-DRB1*15:01和既定的非HLA风险等位基因)后,女性中BMI或体型与MS之间的显著关联仍然存在。
结果表明,儿童期和青春期肥胖使女性患MS的风险增加,超出了既定的遗传和环境风险因素。观察到20多岁时BMI与MS存在剂量效应的有力证据。BMI与MS的关联程度与其他已知的MS风险因素一样大。