Medical Support Center of JECS Study, National Center for Child Health and Development, Tokyo1578535, Japan.
Public Health Nutr. 2023 Sep;26(9):1807-1814. doi: 10.1017/S1368980023000770. Epub 2023 May 2.
Pre-pregnancy weight status is related to offspring health and may influence dietary patterns during pregnancy. We aimed to evaluate the link between pre-pregnancy weight status and dietary patterns during pregnancy.
Dietary data were collected using a FFQ during middle or late pregnancy. Dietary patterns were identified using principal component analysis. Anthropometric data were extracted from medical charts. Multiple linear regression was used to assess associations between pre-pregnancy weight status (severely or moderately underweight, mildly underweight, normal weight, overweight and obese) and dietary patterns during pregnancy after adjusting for socio-demographic characteristics.
Nationwide Japan.
Pregnant Japanese women enrolled in the Japan Environment and Children's Study, a prospective birth cohort study ( 90 765).
We identified three dietary patterns. Compared with women with pre-pregnancy normal weight, those with pre-pregnancy obesity were less likely to habitually consume 'fruits and vegetables' pattern (coefficient, -0·18; 95 % CI, -0·21, -0·14) and 'confectionery' pattern (coefficient, -0·18; 95 % CI, -0·21, -0·14) and more likely to consume 'white rice and soy products' pattern (coefficient, 0·08; 95 % CI, 0·04, 0·11), and those with severely or moderately pre-pregnancy underweight were more likely to consume 'confectionery' pattern (coefficient, 0·06; 95 % CI, 0·03, 0·09) during pregnancy, after adjusting for confounders.
We found that moderately and severely pre-pregnancy underweight women and those with obesity had unhealthy dietary patterns compared to those with pre-pregnancy normal weight. Our findings suggest that prenatal dietary advice is important and should be based on the pre-pregnancy weight status.
孕前体重状况与后代健康有关，并且可能影响孕期的饮食模式。本研究旨在评估孕前体重状况与孕期饮食模式之间的关系。
在妊娠中期或晚期使用食物频率问卷收集饮食数据。使用主成分分析识别饮食模式。从病历中提取人体测量数据。在调整了社会人口特征后，使用多元线性回归评估了孕前体重状况（严重或中度体重不足、轻度体重不足、正常体重、超重和肥胖）与孕期饮食模式之间的关系。
日本全国。
参加日本环境与儿童研究的日本孕妇，这是一项前瞻性出生队列研究（90765 名）。
我们确定了三种饮食模式。与孕前正常体重的女性相比，孕前肥胖的女性习惯性摄入“水果和蔬菜”模式的可能性较小（系数为-0.18；95%CI，-0.21，-0.14）和“甜食”模式（系数，-0.18；95%CI，-0.21，-0.14），更有可能摄入“白米和豆制品”模式（系数，0.08；95%CI，0.04，0.11），而严重或中度孕前体重不足的女性更有可能在怀孕期间摄入“甜食”模式（系数，0.06；95%CI，0.03，0.09），在调整了混杂因素后。
与孕前正常体重的女性相比，我们发现中度和重度孕前体重不足的女性和肥胖的女性饮食模式不健康。我们的研究结果表明，产前饮食建议很重要，应该根据孕前体重状况来制定。
