Prevalence and associate factors for striae gravidarum

Objective: To determine the prevalence and associate factors for striae gravidarum in Thai pregnant women Study design: Cross-sectional study Material and Method: Two hundred and eighty women who gave first birth and were admitted to the postpartum wards in Siriraj Hospital were recruited. All of th...

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Main Authors: Ratree J-orh, Vitaya Titapant, Prakong Chuenwattana, Pornpen Tontisirin
Other Authors: Mahidol University
Format: Article
Published: 2018
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Online Access:https://repository.li.mahidol.ac.th/handle/123456789/19716
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spelling th-mahidol.197162018-07-12T09:44:27Z Prevalence and associate factors for striae gravidarum Ratree J-orh Vitaya Titapant Prakong Chuenwattana Pornpen Tontisirin Mahidol University Medicine Objective: To determine the prevalence and associate factors for striae gravidarum in Thai pregnant women Study design: Cross-sectional study Material and Method: Two hundred and eighty women who gave first birth and were admitted to the postpartum wards in Siriraj Hospital were recruited. All of them were assessed during the immediate postpartum period for having striae gravidarum or not by the physician. The questionnaire was used to interview the participants for all of the information needed in the present study. The participants with striae gravidarum and the other without striae gravidarum were compared to characteristics of women using unpaired student t test and Chisquare tests. Results: Seventy-seven percent of the study participants had developed striae gravidarum. Women who developed striae gravidarum were significantly younger (22.8 yr ± 4.0 yr vs. 26.6 yr ± 6.0 yr; p < 0.05), higher pre-pregnancy BMI (21.2 kg/m2± 4.1 kg/m2vs. 19.8 kg/m2± 4.8 kg/m2; p < 0.05), higher maternal BMI at pregnancy (27.3 kg/m2± 4.7 kg/m2vs. 25.6 kg/m2± 6.0 kg/m2; p < 0.05), higher gestational age at delivery (39.1wk ± 1.3wk vs. 38.6 wk ± 1.1 wk; p < 0.05), higher birth weight of baby (3,078.8 g ± 411.4g vs. 2,895.8g ± 339.2g; p < 0.05), alcoholic drinker (91.4% vs. 8.6%; p < 0.05), had a little water intake (7.4 glasses ± 2.7 glasses vs. 8.3 glasses ± 3.1 glasses; p < 0.05), and had a family history of striae gravidarum (82.8% vs. 17.2%; p < 0.05) were associated with striae gravidarum. Conclusion: Maternal age, pre- pregnancy BMI, maternal BMI at delivery, gestational age at delivery, birth weight of baby, alcoholic drinking, water intake and family history were associated with striae gravidarum. 2018-07-12T02:44:27Z 2018-07-12T02:44:27Z 2008-04-01 Article Journal of the Medical Association of Thailand. Vol.91, No.4 (2008), 445-451 01252208 01252208 2-s2.0-44249119104 https://repository.li.mahidol.ac.th/handle/123456789/19716 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=44249119104&origin=inward
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
topic Medicine
spellingShingle Medicine
Ratree J-orh
Vitaya Titapant
Prakong Chuenwattana
Pornpen Tontisirin
Prevalence and associate factors for striae gravidarum
description Objective: To determine the prevalence and associate factors for striae gravidarum in Thai pregnant women Study design: Cross-sectional study Material and Method: Two hundred and eighty women who gave first birth and were admitted to the postpartum wards in Siriraj Hospital were recruited. All of them were assessed during the immediate postpartum period for having striae gravidarum or not by the physician. The questionnaire was used to interview the participants for all of the information needed in the present study. The participants with striae gravidarum and the other without striae gravidarum were compared to characteristics of women using unpaired student t test and Chisquare tests. Results: Seventy-seven percent of the study participants had developed striae gravidarum. Women who developed striae gravidarum were significantly younger (22.8 yr ± 4.0 yr vs. 26.6 yr ± 6.0 yr; p < 0.05), higher pre-pregnancy BMI (21.2 kg/m2± 4.1 kg/m2vs. 19.8 kg/m2± 4.8 kg/m2; p < 0.05), higher maternal BMI at pregnancy (27.3 kg/m2± 4.7 kg/m2vs. 25.6 kg/m2± 6.0 kg/m2; p < 0.05), higher gestational age at delivery (39.1wk ± 1.3wk vs. 38.6 wk ± 1.1 wk; p < 0.05), higher birth weight of baby (3,078.8 g ± 411.4g vs. 2,895.8g ± 339.2g; p < 0.05), alcoholic drinker (91.4% vs. 8.6%; p < 0.05), had a little water intake (7.4 glasses ± 2.7 glasses vs. 8.3 glasses ± 3.1 glasses; p < 0.05), and had a family history of striae gravidarum (82.8% vs. 17.2%; p < 0.05) were associated with striae gravidarum. Conclusion: Maternal age, pre- pregnancy BMI, maternal BMI at delivery, gestational age at delivery, birth weight of baby, alcoholic drinking, water intake and family history were associated with striae gravidarum.
author2 Mahidol University
author_facet Mahidol University
Ratree J-orh
Vitaya Titapant
Prakong Chuenwattana
Pornpen Tontisirin
format Article
author Ratree J-orh
Vitaya Titapant
Prakong Chuenwattana
Pornpen Tontisirin
author_sort Ratree J-orh
title Prevalence and associate factors for striae gravidarum
title_short Prevalence and associate factors for striae gravidarum
title_full Prevalence and associate factors for striae gravidarum
title_fullStr Prevalence and associate factors for striae gravidarum
title_full_unstemmed Prevalence and associate factors for striae gravidarum
title_sort prevalence and associate factors for striae gravidarum
publishDate 2018
url https://repository.li.mahidol.ac.th/handle/123456789/19716
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