Meng Ying, Groth Susan W, Stewart Patricia, Smith Joyce A
1 Clinical and Translational Science Institute, University of Rochester, Rochester, NY, USA.
2 School of Nursing, University of Rochester, Rochester, NY, USA.
Biol Res Nurs. 2018 Mar;20(2):118-125. doi: 10.1177/1099800417743326. Epub 2017 Nov 21.
Excessive gestational weight gain (GWG) has a long-term impact on women's body weight and contributes to the development of obesity in the mother and her child. Many risk factors for GWG have been identified, but to date, only 6-33.8% of the variance in GWG has been explained. The purpose of this study was to evaluate the overall variance of GWG that can be explained by including weight-adjusted resting metabolic rate (aRMR) and a genetic risk score constructed on obesity-related genes in addition to sociodemographic and lifestyle factors.
In this observational study involving 55 African American women, data collected/measured during pregnancy included sociodemographic factors, medical information, lifestyle factors, aRMR, and seven obesity-related genes. Multivariable linear regression was performed to evaluate the variance in GWG explained by the potential risk factors listed above.
The mean GWG was 15 kg (±7.5 kg), and 63.6% of women gained more than the Institute of Medicine's GWG recommendations. The final regression model explained 53.3% of the variance in GWG. Higher genetic risk score, lower aRMR, and higher dietary intake of total energy and percentage of fat were significantly associated with increased GWG ( p < .05). These factors explained 18% additional variance in GWG over that explained by significant sociodemographic and lifestyle factors in the analysis (i.e., maternal age, prepregnancy body mass index, parity, illegal drug use, and education).
Overall, our results indicate that the genetic risk score, aRMR, and dietary intake have a substantial impact on GWG in African American women.
孕期体重过度增加(GWG)对女性体重有长期影响,并促使母亲及其子女肥胖的发展。已经确定了许多GWG的风险因素,但迄今为止,GWG中只有6%-33.8%的变异可得到解释。本研究的目的是评估除社会人口统计学和生活方式因素外,纳入体重调整静息代谢率(aRMR)和基于肥胖相关基因构建的遗传风险评分后,GWG的总体变异情况。
在这项涉及55名非裔美国女性的观察性研究中,孕期收集/测量的数据包括社会人口统计学因素、医疗信息、生活方式因素、aRMR以及7个肥胖相关基因。进行多变量线性回归以评估上述潜在风险因素所解释的GWG变异情况。
平均GWG为15千克(±7.5千克),63.6%的女性体重增加超过了美国医学研究所的GWG建议值。最终回归模型解释了GWG变异的53.3%。较高的遗传风险评分、较低的aRMR以及较高的总能量和脂肪百分比的饮食摄入量与GWG增加显著相关(p < 0.05)。这些因素在分析中比显著的社会人口统计学和生活方式因素(即母亲年龄、孕前体重指数、产次、非法药物使用和教育程度)所解释的GWG变异额外增加了18%。
总体而言,我们的结果表明遗传风险评分、aRMR和饮食摄入量对非裔美国女性的GWG有重大影响。