We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
Associations between sugar-sweetened beverages before and during pregnancy and offspring overweight/obesity in Japanese women: the TMM BirThree Cohort Study.
- Authors
Aizawa, Misato; Murakami, Keiko; Yonezawa, Yudai; Takahashi, Ippei; Onuma, Tomomi; Noda, Aoi; Ueno, Fumihiko; Matsuzaki, Fumiko; Ishikuro, Mami; Obara, Taku; Kuriyama, Shinichi
- Abstract
Objective: The association between high sugar-sweetened beverages (SSB) intake during pregnancy and offspring overweight/obesity has been reported only from Western countries. The objective of this study was to examine the association between SSB intake before and during pregnancy and offspring overweight/obesity among Japanese women. Design: Japanese prospective birth cohort study. Setting: We analysed mother–offspring pairs who participated in the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study from 2013 to 2017. SSB intake during pregnancy was evaluated using the FFQ and classified into three groups: none (0 g/d), medium (<195 g/d) and high (>195 g/d). Overweight or obesity at 1 year of age in offspring was defined as having a BMI Z -score greater than 2 sd, calculated based on the BMI reference data for Japanese children. Multiple logistic regression analyses were performed to examine the associations between SSB intake before and during pregnancy and offspring overweight/obesity, after adjusting for covariates. Participants: Japanese mother–offspring pairs (n 7114). Results: The overweight/obesity rate of the offspring was 8·8 %. Pregnant women with a high intake of SSB in early to mid-pregnancy had a higher risk of overweight/obesity in their offspring compared with those who did not; the OR was 1·52 (95 % CI (1·09, 2·12)). Conclusions: High SSB intake in early to mid-pregnancy was associated with an increased risk of offspring overweight/obesity at 1 year of age.
- Subjects
JAPAN; OBESITY in women; JAPANESE women; OBESITY; JAPANESE people; MULTIPLE regression analysis; COHORT analysis
- Publication
Public Health Nutrition, 2023, Vol 26, Issue 6, p1222
- ISSN
1368-9800
- Publication type
Article
- DOI
10.1017/S1368980023000307