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Title: | Preconception health and lifestyle behaviours of women planning a pregnancy: A cross-sectional study. | Authors: | Boyle J.A.;Teede H.J. ;Lang A.Y.;Chivers B.R.;Harrison C.L.;Moran L.J. | Monash Health Department(s): | Diabetes and Vascular Medicine | Institution: | (Chivers, Boyle, Lang, Teede, Moran, Harrison) Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, VIC 3168, Australia (Teede) Department of Diabetes and Vascular Medicine, Monash Health, Clayton, VIC 3168, Australia | Issue Date: | 15-Jun-2020 | Copyright year: | 2020 | Publisher: | MDPI AG (Postfach, Basel CH-4005, Switzerland. E-mail: rasetti@mdpi.com) | Place of publication: | Switzerland | Publication information: | Journal of Clinical Medicine. 9 (6) (no pagination), 2020. Article Number: 1701. Date of Publication: June 2020. | Journal: | Journal of Clinical Medicine | Abstract: | Preconception care and lifestyle behaviours significantly influence health outcomes of women and future generations. A cross-sectional survey of Australian women in preconception, stratified by pregnancy planning stage (active planners (currently trying to conceive) vs. non-active planners (pregnancy planned within 1-5 years)), assessed health behaviours and their alignment to preconception care guidelines. Overall, 294 women with a mean (SD) age of 30.7 (4.3) years were recruited and 38.9% were overweight or obese. Approximately half of women (54.4%) reported weight gain within the previous 12 months, of which 69.5% gained >= 3kg. The vast majority of women (90.2%) were unaware of reproductive life plans, and 16.8% over the age of 25 had not undertaken cervical screening. Of active planners (n = 121), 47.1% had sought medical/health advice in preparation for pregnancy and 81.0% had commenced supplementation with folic acid, iodine or a preconception multivitamin. High-risk lifestyle behaviours including cigarette smoking (7.3%), consumption of alcohol (85.3%) and excessive alcohol consumption within three months (56.3%), were frequently reported in women who were actively trying to conceive. Results indicate that women who are actively planning a pregnancy require support to optimise health and lifestyle in preparation for pregnancy to improve alignment with current preconception care recommendations.Copyright © 2020 by the authors. Licensee MDPI, Basel, Switzerland. | DOI: | http://monash.idm.oclc.org/login?url=http://dx.doi.org/10.3390/jcm9061701 | ISSN: | 2077-0383 (electronic) | URI: | https://repository.monashhealth.org/monashhealthjspui/handle/1/29285 | Type: | Article | Subjects: | physical activity *pregnancy pregnancy diabetes mellitus prenatal care *prepregnancy care prospective study puerperium self report sexual intercourse thyroid function test folic acid multivitamin vitamin D obesity alcohol abstinence alcohol consumption article body mass body weight gain cross-sectional study dietary intake female gestational age human infertility therapy iodine deficiency *lifestyle modification low birth weight male nonhuman nutritional assessment papillomavirus infection physical activity pregnancy pregnancy diabetes mellitus prenatal care prepregnancy care puerperium self report sexual intercourse thyroid function test folic acid multivitamin vitamin D obesity alcohol abstinence alcohol consumption body mass body weight gain dietary intake gestational age infertility therapy iodine deficiency lifestyle modification low birth weight nutritional assessment papillomavirus infection gestational age iodine deficiency *lifestyle modification low birth weight male nonhuman nutritional assessment obesity papillomavirus infection physical activity *pregnancy pregnancy diabetes mellitus prenatal care *prepregnancy care prospective study puerperium self report sexual intercourse thyroid function test human alcohol consumption Article body mass body weight gain cross-sectional study dietary intake female infertility therapy alcohol abstinence |
Type of Clinical Study or Trial: | Observational study (cohort, case-control, cross sectional or survey) |
Appears in Collections: | Articles |
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