背景：生命早期生长模式和体型对滤泡性淋巴瘤（FL）风险和生存率的影响尚不清楚。在这项研究中,我们的目的是调查胎龄之间的关系，童年时的成长，身体尺寸,随着时间的推移，身体形状的变化，和FL风险和生存。
方法：我们进行了一项基于人群的家庭病例对照研究，包括706例和490例对照。我们确定了胎龄，童年时的成长，使用问卷调查和随访病例（中位数=83个月）使用记录与国家死亡记录的联系的体型和体型。我们使用基于组的轨迹建模方法来识别5-70岁的身体形状轨迹。我们使用无条件逻辑回归分析了与FL风险的关联，并使用Cox回归评估了病例中体重指数（BMI）与全因死亡率和FL特异性死亡率之间的关联。
结果：我们发现胎龄之间没有关联，儿童身高和FL风险。我们观察到入组前5年肥胖患者的FL风险略有增加(OR=1.43,95CI=0.99-2.06;BMI≥30kg/m2),入组前5年BMI每增加5kg/m2(OR=1.14,95CI=0.99-1.31)。在登记前5年肥胖的额外风险中，吸烟者（OR=2.00，95CI=1.08-3.69）高于从不吸烟者（OR=1.14，95CI=0.71-1.84）。我们在入学时发现FL风险与BMI之间没有关联，体重指数为一生中最重的体重，成人体重或身高的最高类别，裤子尺寸,不同年龄的身体形状或身体形状轨迹。我们还观察到全因死亡率或FL特异性死亡率与入学时或之前的过度肥胖之间没有关联。
结论：我们观察到BMI升高与FL风险之间存在弱关联，与全因或FL特异性死亡率无关，与以前的研究一致。需要结合生物标志物的未来研究来阐明身体成分在FL病因中的作用的可能机制。
BACKGROUND: The influence of early-life growth pattern and body size on follicular lymphoma (FL) risk and survival is unclear. In this study, we aimed to investigate the association between gestational age, growth during childhood, body size, changes in body shape over time, and FL risk and survival.
METHODS: We conducted a population-based family
case-control study and included 706 cases and 490 controls. We ascertained gestational age, growth during childhood, body size and body shape using questionnaires and followed-up cases (median=83 months) using record linkage with national death records. We used a group-based trajectory modeling approach to identify body shape trajectories from ages 5-70. We examined associations with FL risk using unconditional logistic regression and used Cox regression to assess the association between body mass index (BMI) and all-cause and FL-specific mortality among cases.
RESULTS: We found no association between gestational age, childhood height and FL risk. We observed a modest increase in FL risk with being obese 5 years prior to enrolment (OR=1.43, 95 %CI=0.99-2.06; BMI ≥30 kg/m2) and per 5-kg/m2 increase in BMI 5 years prior to enrolment (OR=1.14, 95 %CI=0.99-1.31). The excess risk for obesity 5 years prior to enrolment was higher for ever-smokers (OR=2.00, 95 %CI=1.08-3.69) than never-smokers (OR=1.14, 95 %CI=0.71-1.84). We found no association between FL risk and BMI at enrolment, BMI for heaviest lifetime weight, the highest categories of adult weight or height, trouser size, body shape at different ages or body shape trajectory. We also observed no association between all-cause or FL-specific mortality and excess adiposity at or prior to enrolment.
CONCLUSIONS: We observed a weak association between elevated BMI and FL risk, and no association with all-cause or FL-specific mortality, consistent with previous studies. Future studies incorporating biomarkers are needed to elucidate possible mechanisms underlying the role of body composition in FL etiology.
