Litt Jill S, Lambert Jeffrey Richard, Glueck Deborah H
Environmental Studies Program, University of Colorado Boulder, 4001 Discovery Drive, Boulder, CO 80303, United States.
Department of Biostatistics and Informatics, Colorado School of Public Health, 13001 E. 17th Place, Aurora, CO 80045, United States.
Prev Med Rep. 2017 Nov 2;8:221-225. doi: 10.1016/j.pmedr.2017.10.018. eCollection 2017 Dec.
This study examined whether gardening modifies the association between age and body mass index (BMI). We used data from the Neighborhood Environments and Health Survey, which was conducted in Denver (N = 469) between 2006 and 2007. We fit two general linear mixed models. The base model had BMI in kg/m as the outcome, and age, an indicator variable for non-gardening status and the age-by-non-gardening status interaction as predictors. The adjusted model included as covariates the potential confounders of education, ethnicity and self-reported health. We assessed self-selection bias and confounding. BMI was 27.18 kg/m for non-gardeners, 25.62 kg/m for home gardeners, and 24.17 kg/m for community gardeners. In the base model, a statistically significant association was observed between age and BMI for non-gardeners but not for the combined community and home gardening group (F = 9.27, ndf = 1, ddf = 441, p = 0.0025). In the adjusted model, the association between age and BMI in non-gardeners was not statistically significant (F = 1.72, ndf = 1, ddf = 431, p = 0.1908). Gardeners differed on social and demographic factors when compared to non-gardeners. The results from the base model are consistent with the hypothesis that gardening might offset age-related weight gain. However, the cross-sectional design does not permit differentiation of true causal effects from the possible effects of bias and confounding. As a follow-up study, to remove bias and confounding, we are conducting a randomized clinical trial of community gardening in Denver.
本研究探讨园艺活动是否会改变年龄与体重指数(BMI)之间的关联。我们使用了2006年至2007年在丹佛进行的邻里环境与健康调查数据(N = 469)。我们拟合了两个一般线性混合模型。基础模型以kg/m²为单位的BMI作为结果变量,年龄、非园艺状态的指示变量以及年龄与非园艺状态的交互作用作为预测变量。调整后的模型将教育程度、种族和自我报告的健康状况等潜在混杂因素作为协变量纳入。我们评估了自我选择偏差和混杂因素。非园艺者的BMI为27.18 kg/m²,家庭园艺者为25.62 kg/m²,社区园艺者为24.17 kg/m²。在基础模型中,观察到非园艺者的年龄与BMI之间存在统计学上的显著关联,但社区和家庭园艺者的组合组则不存在这种关联(F = 9.27,分子自由度=1,分母自由度=441,p = 0.0025)。在调整后的模型中,非园艺者的年龄与BMI之间的关联无统计学意义(F = 1.72,分子自由度=1,分母自由度=431,p = 0.1908)。与非园艺者相比,园艺者在社会和人口统计学因素方面存在差异。基础模型的结果与园艺活动可能抵消与年龄相关的体重增加这一假设一致。然而,横断面设计无法区分真正的因果效应与偏差和混杂因素的可能影响。作为后续研究,为了消除偏差和混杂因素,我们正在丹佛进行一项社区园艺的随机临床试验。