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  1. Article: [Study on the influence of pregnancy-induced hypertension on neonatal birth weight and its interaction with other factors].

    He, Yue / Wen, Shiwu / Tan, Hongzhuan / Zhou, Shujin / Guo, Yawei / Wang, Shaya / Shen, Lin / Liu, Yi / Hu, Li

    Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi

    2014  Volume 35, Issue 4, Page(s) 397–400

    Abstract: Objective: To research the influence of pregnancy-induced hypertension (PIH) on neonatal birth weight and its interaction with other factors.: Methods: A retrospective cohort study was conducted in this study. 14 townships were randomly selected by ... ...

    Abstract Objective: To research the influence of pregnancy-induced hypertension (PIH) on neonatal birth weight and its interaction with other factors.
    Methods: A retrospective cohort study was conducted in this study. 14 townships were randomly selected by cluster random sampling method from 37 townships in Liuyang city, Hunan province. All pregnant women from these 14 townships with pregnancy care manual and delivery record, during April 1st, 2008 to March 31st, 2011 were selected as subjects of this study. Blood pressure during pregnancy and neonatal birth weight were recorded. Multinomial logistic regression model was used to adjust the confounding factors. Addictive effects model was used for interaction analysis.
    Results: Data from 6 102 subjects were collected, including 418 (6.9%) pregnant women with PIH, 166 (2.7%) infants with low birth weight and 333 (5.5%) with fetal macrosomia. Results from the Multinomial logistic regression analysis showed significant association between neonatal birth weight and PIH, premature birth, BMI <18.5 before pregnancy, and weight gain ≥ 16 kg during pregnancy. Data from the Interaction analysis showed that there was strong positive interactions between PIH and premature birth to low birth weight infants (RERI = 35.08, API = 0.435, S = 1.7), and between PIH and BMI<18.5 before pregnancy to low birth weight infants. However, no significant interaction was found between PIH and weight gain.
    Conclusion: Factors as PIH, premature birth, BMI before pregnancy and weight gain showed impact on low birth weight or fetal macrosomia. PIH also showed significant interaction on neonatal birth weight with premature birth as well as BMI before pregnancy, respectively.
    MeSH term(s) Adolescent ; Adult ; Birth Weight ; Female ; Fetal Macrosomia/etiology ; Humans ; Hypertension, Pregnancy-Induced ; Infant, Low Birth Weight ; Logistic Models ; Pregnancy ; Retrospective Studies ; Young Adult
    Language Chinese
    Publishing date 2014-04
    Publishing country China
    Document type English Abstract ; Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 645026-x
    ISSN 0254-6450
    ISSN 0254-6450
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: [Postpartum change of blood pressure and its risk factors in patients with hypertensive disorders in pregnancy].

    Shen, Lin / Tan, Hongzhuan / Zhou, Shujin / Liu, Yi / He, Yue / Hu, Li / Luo, Meiling / Wang, Shaya / Guo, Yawei / Cai, Chang

    Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences

    2014  Volume 39, Issue 3, Page(s) 239–244

    Abstract: Objective: To investigate the change of blood pressure in patients with hypertensive disorders in pregnancy after delivery and the risk factors.: Methods: In a retrospective cohort study, we collected subjects from villages and towns in Liuyang by ... ...

    Abstract Objective: To investigate the change of blood pressure in patients with hypertensive disorders in pregnancy after delivery and the risk factors.
    Methods: In a retrospective cohort study, we collected subjects from villages and towns in Liuyang by cluster sampling method. Before enrolling in this cohort, all had established health records from January 2010 to December 2011. We collected the medical records and maternal health care manuals of this cohort as our data materials, focusing on the blood pressure records as well as related features. We compared the differences of recovery rate of postpartum blood pressure in different kinds of antenatal blood pressure groups with χ2 test. In order to explore the main factors influencing the recovery rate of blood pressure of patients with hypertensive disorders in pregnancy, we conducted univariate and multivariate analysis by χ2 test and unconditional logistic regression analysis.
    Results: Among the 460 women with hypertensive disorders in pregnancy in our analysis, the recovery rate of postpartum blood pressure reached 88.7%. Multivariate analysis showed that the risk factors influencing the recovery rate of postpartum blood pressure included advanced age (OR=0.436), higher degree of hypertensive disorders in pregnancy (OR=0.436), and hypertension with simultaneously high systolic and diastolic blood pressures (OR=0.192).
    Conclusion: For most patients with hypertensive disorders in pregnancy, the blood pressure may decrease to normal level 42 days after delivery. Women with advanced age, higher degree of hypertensive disorders in pregnancy and hypertension with simultaneously high systolic and diastolic blood pressures should be given more attention.
    MeSH term(s) Blood Pressure ; Diastole ; Female ; Humans ; Hypertension, Pregnancy-Induced/epidemiology ; Hypertension, Pregnancy-Induced/physiopathology ; Postpartum Period ; Pregnancy ; Retrospective Studies ; Risk Factors ; Systole
    Language Chinese
    Publishing date 2014-03
    Publishing country China
    Document type English Abstract ; Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2168533-2
    ISSN 1672-7347
    ISSN 1672-7347
    DOI 10.11817/j.issn.1672-7347.2014.03.003
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: [Changes in blood pressure and related determinants before and during normal pregnancy].

    Wang, Sha-ya / Zhou, Shu-jin / Wen, Shi-wu / Tan, Hong-zhuan / Luo, Mei-ling / Guo, Ya-wei / Cai, Chang / He, Yue / Liu, Yi / Hu, Li / Shen, Lin

    Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi

    2013  Volume 34, Issue 3, Page(s) 241–244

    Abstract: Objective: To study the longitudinal changes of blood pressure (BP) and its related determinants before and during normal pregnancy.: Methods: 14 townships were randomly selected by cluster random sampling method from 37 townships in Liuyang city, ... ...

    Abstract Objective: To study the longitudinal changes of blood pressure (BP) and its related determinants before and during normal pregnancy.
    Methods: 14 townships were randomly selected by cluster random sampling method from 37 townships in Liuyang city, Hunan province. Subjects are all women at childbearing age in these 14 townships registered from April 2008 to December 2011. When the subjects visited to the local maternity and child-care agencies for pre-marital check, they were face-to-face interviewed and asked to fill out the questionnaire and finish the medical examination. Following-up program was carried out until delivery, with BP and other pregnancy information checked and collected. Analysis on variance of data regarding repeated measurements were used to investigate the changes of BP and related determinants.
    Results: A total of 611 cases with complete data were recruited, after excluding 41 cases who were diagnosed as pregnancy-induced hypertension. Finally, data on 570 healthy women with singleton pregnancies was analyzed. Systolic blood pressure (SBP) at pre-pregnancy, first trimester, second trimester and third trimester were (109.9 ± 12.9) mm Hg, (100.6 ± 9.6) mm Hg, (102.6 ± 10.1) mm Hg, (107.8 ± 10.9) mm Hg, respectively while the diastolic blood pressure (DBP) of pre-pregnancy, first trimester, second trimester and third trimester were (71.1 ± 9.0) mm Hg, (64.3 ± 6.6) mm Hg, (65.1 ± 6.8) mm Hg, (68.3 ± 8.1) mm Hg, respectively. The pre-pregnancy BP was lower than the three periods after pregnancy. BP of the third trimester was higher than that of the ones at first or second trimesters, with the difference statistically significant. SBP and DBP both indicated that there were statistically significant changes in the four periods and the linear trend test showed statistically significant. Pre-pregnancy BMI, pre-pregnancy waist circumference and annual per capita income were determinants which affecting the changes of BP. Higher pre-pregnancy body mass index (BMI), wider pre-pregnancy waist circumference and higher annual per capita income were associated with higher BP, while annual per capita income mainly affecting the pre-pregnancy BP.
    Conclusion: BP of the three periods after pregnancy were lower than that of pre-pregnancy. BP of the third trimester was higher than both the first and second trimesters'. Pre-pregnancy BMI, pre-pregnancy waist circumference and annual per capita income were determinants which affecting the changes of BP.
    MeSH term(s) Adult ; Blood Pressure/physiology ; Body Mass Index ; Cohort Studies ; Female ; Humans ; Pregnancy/physiology ; Pregnancy Trimester, First ; Pregnancy Trimester, Second ; Pregnancy Trimester, Third ; Prospective Studies ; Young Adult
    Language Chinese
    Publishing date 2013-03
    Publishing country China
    Document type English Abstract ; Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 645026-x
    ISSN 0254-6450
    ISSN 0254-6450
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: [Pre-conceptive factors on the birth ponderal index].

    Cai, Chang / Zhou, Shu-jin / Wen, Shi-wu / Guo, Ya-wei / Tan, Hong-zhuan / Wang, Sha-ya / Luo, Mei-ling / Hu, Li / He, Yue / Liu, Yi / Shen, Lin

    Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi

    2013  Volume 34, Issue 4, Page(s) 342–345

    Abstract: Objective: To analyze the pre-conceptive factors on birth ponderal index (PI).: Methods: Fourteen towns were selected randomly from the 37 towns of Liuyang county, Hunan province, through cluster sampling in a prospective cohort study. Information ... ...

    Abstract Objective: To analyze the pre-conceptive factors on birth ponderal index (PI).
    Methods: Fourteen towns were selected randomly from the 37 towns of Liuyang county, Hunan province, through cluster sampling in a prospective cohort study. Information was collected on all the women registered at the Maternity and Child Care Departments, and were planning to give birth in the coming year plus willing to receive a blood test and then followed-up until delivery. Single factor analysis would involve chi-square test and correlation analysis, while the multiple-factor analysis would adopt binary logistic regression method.
    Results: A total of 1368 women were recruited in the cohort and 611 of them had a delivery of one child. Means of birth weight, birth length, and birth PI were (3.26 ± 0.43) kg, (50 ± 0.46) cm and 26.08 ± 3.43, respectively. Data from the multiple stepwise regression analysis showed that income (OR = 6.920, 95%CI: 1.089 - 43.974) and cortisone levels (OR = 5.121, 95%CI: 0.886 - 29.611) were related to low PI, while LDL-C (OR = 3.736, 95%CI: 0.848 - 16.461), waistline (OR = 6.846, 95%CI: 1.441 - 32.532), education (OR = 0.169, 95%CI: 0.029 - 0.995), and insulin (OR = 0.141, 95%CI: 0.016 - 1.277) were related to high PI.
    Conclusion: Birth PI was associated with income, waistline, education, insulin, cortisone, and LDL-C. Before conception, women should go through necessary tests and keep a good physical condition to reduce their neonates of having abnormal PI.
    MeSH term(s) Adolescent ; Adult ; Birth Weight ; Body Mass Index ; Cohort Studies ; Factor Analysis, Statistical ; Female ; Humans ; Infant, Newborn ; Logistic Models ; Pregnancy ; Prospective Studies
    Language Chinese
    Publishing date 2013-04
    Publishing country China
    Document type English Abstract ; Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 645026-x
    ISSN 0254-6450
    ISSN 0254-6450
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: [A population based study on incidence and determinants of preterm birth in Liuyang Hunan].

    Guo, Yawei / Tan, Hongzhuan / Zhou, Shujin / Luo, Meiling / Wang, Shaya / Cai, Chang / Hu, Li / He, Yue / Liu, Yi / Shen, Lin / Wen, Shiwu

    Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences

    2013  Volume 38, Issue 4, Page(s) 413–418

    Abstract: Objective: To describe the incidence and to discuss the risk factors of premature birth in rural areas of Liuyang.: Methods: We collected subjects from villages and towns in Liuyang through cluster sampling method. Before enrolling in this cohort, ... ...

    Abstract Objective: To describe the incidence and to discuss the risk factors of premature birth in rural areas of Liuyang.
    Methods: We collected subjects from villages and towns in Liuyang through cluster sampling method. Before enrolling in this cohort, all of them had established health records from January 2010 to December 2011. We followed up the early, middle and late stages of pregnancy until delivery, and collected medical records and maternal health care manual of this cohort as our data materials. We explored the main influence factors of premature delivery by χ2 test and unconditional logistic regression analysis for single factor and multivariate analysis.
    Results: Among 6270 women who enrolled in our cohort, 259 were diagnosed as premature birth. The incidence (4.13%) was lower than the national average level. Non-conditional logistic regression analysis showed that the risk factors of premature birth were as follows: OR of placental abruption was 7.678 (95% CI: 2.249-26.215), that of premature rupture of fetal membranes (PROM) was 5.177 (95% CI: 3.945-6.793), that of uterine abnormal and deformity was 2.675 (95% CI: 1.007-7.107), that of placenta anomaly was 2.633 (95% CI: 1.666-4.162), that of hypertension in pregnancy was 2.172 (95% CI: 1.044-4.521), that of pregnancy complications was 1.806 (95% CI: 1.033-3.157), that of male fetus was 1.429 (95% CI: 1.086-1.881). Protective factors of preterm birth were too frequent prenatal examination (OR=0.502, 95% CI: 1.033-3.157) and single pregnancy (OR=0.155, 95% CI: 0.075-0.319).
    Conclusion: Preterm delivery is caused by complicated factors, such as placental abruption, PROM and male fetus. Comprehensive measures should be taken to reduce preterm birth.
    MeSH term(s) Abruptio Placentae/etiology ; Adult ; China/epidemiology ; Female ; Fetal Membranes, Premature Rupture/etiology ; Humans ; Incidence ; Logistic Models ; Pregnancy ; Premature Birth/epidemiology ; Premature Birth/etiology ; Risk Factors ; Rural Population ; Sampling Studies ; Young Adult
    Language Chinese
    Publishing date 2013-04
    Publishing country China
    Document type English Abstract ; Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2168533-2
    ISSN 1672-7347
    ISSN 1672-7347
    DOI 10.3969/j.issn.1672-7347.2013.04.013
    Database MEDical Literature Analysis and Retrieval System OnLINE

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