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1.
J Pregnancy ; 2016: 5871313, 2016.
Article in English | MEDLINE | ID: mdl-27747104

ABSTRACT

The objective of this study is to understand the relationships between prepregnancy obesity and excessive gestational weight gain (GWG) and adverse maternal and fetal outcomes. Pregnancy risk assessment monitoring system (PRAMS) data from Maine for 2000-2010 were used to determine associations between demographic, socioeconomic, and health behavioral variables and maternal and infant outcomes. Multivariate logistic regression analysis was performed on the independent variables of age, race, smoking, previous live births, marital status, education, BMI, income, rurality, alcohol use, and GWG. Dependent variables included maternal hypertension, premature birth, birth weight, infant admission to the intensive care unit (ICU), and length of hospital stay of the infant. Excessive prepregnancy BMI and excessive GWG independently predicted maternal hypertension. A high prepregnancy BMI increased the risk of the infant being born prematurely, having a longer hospital stay, and having an excessive birth weight. Excessive GWG predicted a longer infant hospital stay and excessive birth weight. A low pregnancy BMI and a lower than recommended GWG were also associated with poor outcomes: prematurity, low birth weight, and an increased risk of the infant admitted to ICU. These findings support the importance of preconception care that promotes achievement of a healthy weight to enhance optimal reproductive outcomes.


Subject(s)
Fetal Macrosomia/epidemiology , Hypertension, Pregnancy-Induced/epidemiology , Obesity/epidemiology , Pregnancy Complications/epidemiology , Premature Birth/epidemiology , Social Class , Adult , Educational Status , Female , Humans , Income , Infant, Low Birth Weight , Infant, Newborn , Intensive Care Units, Neonatal/statistics & numerical data , Length of Stay/statistics & numerical data , Logistic Models , Maine/epidemiology , Male , Multivariate Analysis , Odds Ratio , Pregnancy , Thinness/epidemiology , Weight Gain , Young Adult
2.
Rural Remote Health ; 15(3): 3278, 2015.
Article in English | MEDLINE | ID: mdl-26195158

ABSTRACT

INTRODUCTION: Rural residents may face health challenges related to geographic barriers to care, physician shortages, poverty, lower educational attainment, and other demographic factors. In maternal and child health, these disparities may be evidenced by the health risks and behaviors of new mothers, the health of infants born to these mothers, and the care received by both mothers and infants. METHODS: To determine the impact of rurality on maternal and child health in Maine, USA, 11 years of data (2000-2010) for the state of Maine from the Pregnancy Risk Assessment Monitoring System (PRAMS) project were analyzed. PRAMS is a national public health surveillance system that uses questionnaires to survey women who had delivered live infants in the previous 2-4 months. Using a geographic information system, each questionnaire response was assigned a rurality tier (urban, suburban, large rural town, or isolated rural community) based on the rural-urban commuting area code of the town of residence of the mother. Results from the four rurality tiers were compared using the survey procedures in Statistical Analysis Software to adjust for the complex sampling strategy of the PRAMS dataset. Means (for continuous variables) and percentages (for categorical variables) were calculated for each rurality tier, along with 95% confidence intervals. Significant differences between rurality tiers were tested for using F-tests or χ2 tests. If significant differences between rurality tiers existed (p<0.05), specific tiers were judged to be different from each other if their 95% confidence intervals did not overlap. RESULTS: A total of 12 600 mothers responded to the PRAMS questionnaire during the study period. Compared to mothers from more urban areas, rural mothers were younger (10.5% of mothers from isolated rural areas were teenagers compared to 6.2% of mothers from urban areas), less well educated, less likely to be married, and more likely to live in lower income households (39.6% of isolated rural mothers had household incomes ≤US$20 000/year vs 28.8% of urban mothers). Rural mothers had higher pre-pregnancy body mass indexes (BMIs; average BMI 26.1 for isolated rural women vs 25.3 for urban women) and were more likely to smoke but less likely to drink alcohol (both before and during pregnancy). Compared to mothers from more urban areas, rural mothers were not sure they were pregnant until a later gestational age but received prenatal care just as early and were just as likely to receive prenatal care as early as they wished. There were no differences among rurality tiers in Caesarean section rates, rates of premature births (<37 weeks gestation), or rates of underweight births (<2500 g). However infants born to rural mothers were less likely to be breastfed (52.9% of isolated rural vs 60.9% of urban infants breast fed for ≥8 weeks). CONCLUSIONS: These results show that, while rural women face significant demographic and behavior challenges, their access to prenatal care, the care they receive while pregnant, and the outcomes of their pregnancies are similar to those of urban women. These results highlight areas where focused pre-pregnancy and prenatal education may improve maternal and child health in rural Maine.


Subject(s)
Health Status Indicators , Infant Health/statistics & numerical data , Maternal Health/statistics & numerical data , Rural Health/standards , Rural Population/statistics & numerical data , Urban Population/statistics & numerical data , Adolescent , Adult , Body Mass Index , Female , Gestational Age , Health Behavior , Healthcare Disparities/statistics & numerical data , Humans , Infant Health/standards , Maine , Maternal Health/standards , Models, Statistical , Population Surveillance , Pregnancy , Pregnancy Outcome , Pregnancy in Adolescence/statistics & numerical data , Risk Assessment , Socioeconomic Factors , Young Adult
3.
J Pregnancy ; 2014: 780626, 2014.
Article in English | MEDLINE | ID: mdl-25485153

ABSTRACT

The objective of this study is to understand health and demographic trends among mothers and infants in Maine relative to the goals of Healthy People 2020. Pregnancy risk assessment monitoring system (PRAMS) data from Maine for 2000-2010 were used to determine yearly values of pregnancy-related variables. Means (for continuous variables) and percentages (for categorical variables) were calculated using the survey procedures in SAS. Linear trend analysis was applied with study year as the independent variable. The slope and significance of the trend were then calculated. Over the study period, new mothers in Maine became better educated but the fraction of households with incomes <$20,000/year remained stagnant. Maternal prepregnancy BMI increased. Average pregnancy weight gain decreased but the number of women whose pregnancy weight gain was within the recommended range was unchanged. The rates of smoking and alcohol consumption (before and during pregnancy) increased. The Caesarean section rate rose and the fraction of infants born premature (<37 wks gestation) or underweight (<2500 gms) remained unchanged. The fraction of infants who were breast-fed increased. These results suggest that, despite some positive trends, Maine faces significant challenges in meeting Healthy People 2020 goals.


Subject(s)
Health Status Indicators , Pregnancy Outcome/epidemiology , Adult , Alcohol Drinking/epidemiology , Breast Feeding/statistics & numerical data , Cesarean Section/statistics & numerical data , Female , Health Surveys , Healthy People Programs , Humans , Infant, Premature , Infant, Small for Gestational Age , Maine/epidemiology , Pregnancy , Smoking/epidemiology , Socioeconomic Factors , Surveys and Questionnaires
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