N Padmapriya1, Liang Shen2, Shu-E Soh3,4, Zhe Shen5, Kenneth Kwek6, Keith M Godfrey7, Peter D Gluckman4,8, Yap-Seng Chong5,4, Seang-Mei Saw9, Falk Müller-Riemenschneider9,10. 1. Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore, Singapore. obgnp@nus.edu.sg. 2. Biostatistics Unit, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore, Singapore. 3. Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore. 4. Singapore Institute for Clinical Sciences, Agency for Science and Technology Research (A*STAR), Singapore, Singapore. 5. Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore, Singapore. 6. KK Women's and Children's Hospital, Singapore, Singapore. 7. MRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust and University of Southampton, Southampton, UK. 8. Liggins Institute, University of Auckland, Auckland, New Zealand. 9. Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore. 10. Institute for Social Medicine, Epidemiology and Health Economics, Charite University Medical Centre, Berlin, Germany.
Abstract
OBJECTIVES: To describe physical activity (PA) and sedentary behavior (SB) patterns before and during pregnancy among Chinese, Malay and Indian women. In addition, to investigate determinants of change in PA and SB during pregnancy. METHODS: The Growing Up in Singapore Towards healthy Outcomes cohort recruited first trimester pregnant women. PA and SB (sitting time and television time) before and during pregnancy were assessed as a part of an interview questionnaire at weeks 26-28 gestational clinic visit. Total energy expenditure (TEE) on PA and time in SB were calculated. Determinants of change in PA and SB were investigated using multiple logistic regression analysis. RESULTS: PA and SB questions were answered by 94 % (n = 1171) of total recruited subjects. A significant reduction in TEE was observed from before to during pregnancy [median 1746.0-1039.5 metabolic equivalent task (MET) min/week, p < 0.001]. The proportion of women insufficiently active (<600 MET-min/week) increased from 19.0 to 34.1 % (p <0.001). Similarly, sitting time (median 56.0-63.0 h/week, p < 0.001) and television time (mean 16.1-16.7 h/week, p = 0.01) increased. Women with higher household income, lower level of perceived health, nausea/vomiting during pregnancy and higher level of pre-pregnancy PA were more likely to reduce PA. Women with children were less likely to reduce PA. Women reporting nausea/vomiting and lower level of pre-pregnancy sitting time were more likely to increase sitting time. CONCLUSIONS FOR PRACTICE: Participants substantially reduced PA and increased SB by 26-28 weeks of pregnancy. Further research is needed to better understand determinants of change in PA and SB and develop effective health promotion strategies.
OBJECTIVES: To describe physical activity (PA) and sedentary behavior (SB) patterns before and during pregnancy among Chinese, Malay and Indian women. In addition, to investigate determinants of change in PA and SB during pregnancy. METHODS: The Growing Up in Singapore Towards healthy Outcomes cohort recruited first trimester pregnant women. PA and SB (sitting time and television time) before and during pregnancy were assessed as a part of an interview questionnaire at weeks 26-28 gestational clinic visit. Total energy expenditure (TEE) on PA and time in SB were calculated. Determinants of change in PA and SB were investigated using multiple logistic regression analysis. RESULTS: PA and SB questions were answered by 94 % (n = 1171) of total recruited subjects. A significant reduction in TEE was observed from before to during pregnancy [median 1746.0-1039.5 metabolic equivalent task (MET) min/week, p < 0.001]. The proportion of women insufficiently active (<600 MET-min/week) increased from 19.0 to 34.1 % (p <0.001). Similarly, sitting time (median 56.0-63.0 h/week, p < 0.001) and television time (mean 16.1-16.7 h/week, p = 0.01) increased. Women with higher household income, lower level of perceived health, nausea/vomiting during pregnancy and higher level of pre-pregnancy PA were more likely to reduce PA. Women with children were less likely to reduce PA. Women reporting nausea/vomiting and lower level of pre-pregnancy sitting time were more likely to increase sitting time. CONCLUSIONS FOR PRACTICE: Participants substantially reduced PA and increased SB by 26-28 weeks of pregnancy. Further research is needed to better understand determinants of change in PA and SB and develop effective health promotion strategies.
Entities:
Keywords:
Changes in pregnancy; Physical activity; Pregnancy; Sedentary behavior; Television
Authors: Michael D Schmidt; Penelope Pekow; Patty S Freedson; Glenn Markenson; Lisa Chasan-Taber Journal: J Womens Health (Larchmt) Date: 2006-10 Impact factor: 2.681
Authors: Curtis S Harrod; Lisa Chasan-Taber; Regina M Reynolds; Tasha E Fingerlin; Deborah H Glueck; John T Brinton; Dana Dabelea Journal: Obstet Gynecol Date: 2014-08 Impact factor: 7.661
Authors: Jennifer C Dempsey; Tanya K Sorensen; Michelle A Williams; I-Min Lee; Raymond S Miller; Edward E Dashow; David A Luthy Journal: Am J Epidemiol Date: 2004-04-01 Impact factor: 4.897
Authors: See Ling Loy; Poh Hui Wee; Marjorelee T Colega; Yin Bun Cheung; Izzuddin M Aris; Jerry Kok Yen Chan; Keith M Godfrey; Peter D Gluckman; Kok Hian Tan; Lynette Pei-Chi Shek; Yap-Seng Chong; Padmapriya Natarajan; Falk Müller-Riemenschneider; Ngee Lek; Victor Samuel Rajadurai; Mya-Thway Tint; Yung Seng Lee; Mary Foong-Fong Chong; Fabian Yap Journal: J Nutr Date: 2017-06-07 Impact factor: 4.798
Authors: See Ling Loy; Michelle Jia Hui Ng; Yin Bun Cheung; Keith M Godfrey; Philip C Calder; Ngee Lek; Fabian Yap; Falk Müller-Riemenschneider; Padmapriya Natarajan; Yap-Seng Chong; Kok Hian Tan; Lynette Pei-Chi Shek; Mary Foong-Fong Chong; Jerry Kok Yen Chan Journal: Am J Clin Nutr Date: 2017-03-22 Impact factor: 7.045
Authors: See Ling Loy; Tuck Seng Cheng; Marjorelee T Colega; Yin Bun Cheung; Keith M Godfrey; Peter D Gluckman; Kenneth Kwek; Seang Mei Saw; Yap-Seng Chong; Natarajan Padmapriya; Falk Müller-Riemenschneider; Ngee Lek; Fabian Yap; Mary Foong-Fong Chong; Jerry Kok Yen Chan Journal: Br J Nutr Date: 2016-03-07 Impact factor: 3.718
Authors: Tuck Seng Cheng; See Ling Loy; Jia Ying Toh; Yin Bun Cheung; Jerry Kok Yen Chan; Keith M Godfrey; Peter D Gluckman; Seang Mei Saw; Yap-Seng Chong; Yung Seng Lee; Ngee Lek; Mary Foong-Fong Chong; Fabian Yap Journal: Am J Clin Nutr Date: 2016-07-06 Impact factor: 7.045
Authors: Tuck Seng Cheng; See Ling Loy; Yin Bun Cheung; Keith M Godfrey; Peter D Gluckman; Kenneth Kwek; Seang Mei Saw; Yap-Seng Chong; Yung Seng Lee; Fabian Yap; Jerry Kok Yen Chan; Ngee Lek Journal: Prev Sci Date: 2016-11