Ancy births, with an annual increase of 0.32 , and high explanatory power

Ancy births, with an annual PM01183 supplement increase of 0.32 , and high explanatory power for the model (r2 = 0.90). C-section birth showed a tendency Pan-RAS-IN-1MedChemExpress Pan-RAS-IN-1 towards increase, only among BL-8040 web Premature births, with an average annual increase of 2.38 (Table 3). It is noteworthy that C-section birth was carried out in 79.7 of all deliveries during that period. Table 3 further shows a decreasing trend of preterm births j.addbeh.2012.10.012 for children with Apgar score below 7 at 5 minutes (-0.19 per year) and low birth weight (-1.43 per year). Premature births of children with congenital malformations showed an increasing trend (0.20 per year).DiscussionThis study presents data consistent with those found in the literature, with a significant increase in preterm birth [14], which occurred especially in the moderate period. ExtremePLOS ONE | DOI:10.1371/journal.pone.purchase GSK343 0141852 November 3,5 /The Growing Trend of Preterm Births: Study in One Region of BrazilTable 2. Factors associated with preterm birth. Maring?PR, Brazil. 2000?002 Variables Mother Age < 20 20?4 35 Partner Yes No Education level <8 8 Parity Primigravida Multigravida Gestation and delivery Pregnancy type Single Multiple Type of delivery C-section Vaginal Prenatal visits <7 7 Delivery site Hospital Others Newborn Sex Female Male Apgar 1 <7 7 Apgar 5 <7 7 Birth weight < 2500 2500 Malformation Yes No 25.6 6.9 4.63 3.06?.01 29.4 11.6 3.18 2.14?.74 55.4 3.3 36.72 31.16?3.28 70.6 5.8 38.76 33.72?4.55 47.6 6.6 12.97 9.33?.02 58.1 11.3 10.88 7.71?5.36 26.2 5.8 5.78 4.84?.90 31.3 10.1 4.07 3.55?.67 7.3 6.9 0.94 0.82?.08 11.6 11.9 1.03 0.93?.13 7.1 10.3 1.45 0.53?.23 11.7 15.8 1.41 0.41?.85 13 5.2 2.76 2.40?.17 23 9.6 2.81 2.51?.15 6.6 8.4 0.77 0.66?.89 11.5 12.6 0.90 0.80?.09 6.4 36.9 8.56 6.67?0.99 10.4 65.9 16.64 13.24?0.92 7.6 6.4 1.21 1.05?.39 11.5 11.9 0.96 0.85?.06 8.2 6.5 1.28 1.11?.47 12.8 11.6 1.12 0.96?.31 6.8 7.6 1.13 0.98?.30 11.5 12.1 1.06 0.96?.17 8.6 6.6 8.5 1.31 1.06?.62 1.34 1.12?.59 12.5 11.4 12.9 1.15 0.10?.32 1.1 0.93?.31 < 37 OR (CI 95 ) < 37 2011?013 OR (CI 95 )doi:10.1371/journal.pone.0141852.tPLOS ONE | DOI:10.1371/journal.pone.0141852 November 3,6 /The Growing Trend of Preterm Births: Study in One Region of BrazilTable 3. Trend models for the rate of preterm births, according to variables of mother, gestation and delivery, and newborn. Maring?PR, Brazil, 2000 to 2013. Variables Mother Age < 20 20?4 35 Partner Yes No Education level <8 8 Parity Primigravida Multigravida Gestation and delivery Pregnancy type Single Multiple Type of delivery C-section Vaginal Prenatal visits <7 7 Delivery site Hospital Others Newborn Sex Female Male Apgar 1 <7 7 Apgar 5 <7 7 Birth weight < 2500 2500 Malformation Yes NoaModelRpTrenday = 16.17?.97x y = 69.84 + 0.71x y = 13.82 + 0.16x y = 57.68?.64x y = 44.40 + 0.85x--0.19x2 y = 16.77?.50x + 0.26x2?.02x3 y = 83.26 + 1.50x--0.28x2 + 0.02x3 y = 51.49?.25x y j.jebo.2013.04.005 = 48.50 + 0.25×0.81 0.76 0.29 0.36 0.59 0.99 0.99 0.09 0.<0.001 <0.001 0.068 0.038 0.007 <0.001 <0.001 0.353 0.# " # " # " -y = 83.86?.32x + 0.11x2 y = 16.14 + 0.32x--0.11x2 y = 67.99 + 2.38x + 0.24x2?.05x3 y = 32.01?.38x--0.24x2 + 0.05x3 y = 38.41?.12x y = 61.31 + 0.12x y = 99.68 + 0.02x y = 0.32?.02x0.90 0.90 0.90 0.90 0.96 0.96 0.21 0.<0.001 <0.001 <0.001 <0.001 <0.001 <0.001 0.136 0.# " " # # " -y = 48.47?.18x y = 51.50 + 0.18x y = 23.25?.26x y = 76.20 + 0.38x y = 5.92?.19x y = 93.58 + 0.31x y = 65.69?.43x--0.38x2 + 0.05x3 y = 34.30 + 1.44x + 0.37x2?.05x3 y = 1.89 + 0.20x + 0.04x2?.01x3 y = 98.18 + 0.53x--0.13x0.36.Ancy births, with an annual increase of 0.32 , and high explanatory power for the model (r2 = 0.90). C-section birth showed a tendency towards increase, only among premature births, with an average annual increase of 2.38 (Table 3). It is noteworthy that C-section birth was carried out in 79.7 of all deliveries during that period. Table 3 further shows a decreasing trend of preterm births j.addbeh.2012.10.012 for children with Apgar score below 7 at 5 minutes (-0.19 per year) and low birth weight (-1.43 per year). Premature births of children with congenital malformations showed an increasing trend (0.20 per year).DiscussionThis study presents data consistent with those found in the literature, with a significant increase in preterm birth [14], which occurred especially in the moderate period. ExtremePLOS ONE | DOI:10.1371/journal.pone.0141852 November 3,5 /The Growing Trend of Preterm Births: Study in One Region of BrazilTable 2. Factors associated with preterm birth. Maring?PR, Brazil. 2000?002 Variables Mother Age < 20 20?4 35 Partner Yes No Education level <8 8 Parity Primigravida Multigravida Gestation and delivery Pregnancy type Single Multiple Type of delivery C-section Vaginal Prenatal visits <7 7 Delivery site Hospital Others Newborn Sex Female Male Apgar 1 <7 7 Apgar 5 <7 7 Birth weight < 2500 2500 Malformation Yes No 25.6 6.9 4.63 3.06?.01 29.4 11.6 3.18 2.14?.74 55.4 3.3 36.72 31.16?3.28 70.6 5.8 38.76 33.72?4.55 47.6 6.6 12.97 9.33?.02 58.1 11.3 10.88 7.71?5.36 26.2 5.8 5.78 4.84?.90 31.3 10.1 4.07 3.55?.67 7.3 6.9 0.94 0.82?.08 11.6 11.9 1.03 0.93?.13 7.1 10.3 1.45 0.53?.23 11.7 15.8 1.41 0.41?.85 13 5.2 2.76 2.40?.17 23 9.6 2.81 2.51?.15 6.6 8.4 0.77 0.66?.89 11.5 12.6 0.90 0.80?.09 6.4 36.9 8.56 6.67?0.99 10.4 65.9 16.64 13.24?0.92 7.6 6.4 1.21 1.05?.39 11.5 11.9 0.96 0.85?.06 8.2 6.5 1.28 1.11?.47 12.8 11.6 1.12 0.96?.31 6.8 7.6 1.13 0.98?.30 11.5 12.1 1.06 0.96?.17 8.6 6.6 8.5 1.31 1.06?.62 1.34 1.12?.59 12.5 11.4 12.9 1.15 0.10?.32 1.1 0.93?.31 < 37 OR (CI 95 ) < 37 2011?013 OR (CI 95 )doi:10.1371/journal.pone.0141852.tPLOS ONE | DOI:10.1371/journal.pone.0141852 November 3,6 /The Growing Trend of Preterm Births: Study in One Region of BrazilTable 3. Trend models for the rate of preterm births, according to variables of mother, gestation and delivery, and newborn. Maring?PR, Brazil, 2000 to 2013. Variables Mother Age < 20 20?4 35 Partner Yes No Education level <8 8 Parity Primigravida Multigravida Gestation and delivery Pregnancy type Single Multiple Type of delivery C-section Vaginal Prenatal visits <7 7 Delivery site Hospital Others Newborn Sex Female Male Apgar 1 <7 7 Apgar 5 <7 7 Birth weight < 2500 2500 Malformation Yes NoaModelRpTrenday = 16.17?.97x y = 69.84 + 0.71x y = 13.82 + 0.16x y = 57.68?.64x y = 44.40 + 0.85x--0.19x2 y = 16.77?.50x + 0.26x2?.02x3 y = 83.26 + 1.50x--0.28x2 + 0.02x3 y = 51.49?.25x y j.jebo.2013.04.005 = 48.50 + 0.25×0.81 0.76 0.29 0.36 0.59 0.99 0.99 0.09 0.<0.001 <0.001 0.068 0.038 0.007 <0.001 <0.001 0.353 0.# " # " # " -y = 83.86?.32x + 0.11x2 y = 16.14 + 0.32x--0.11x2 y = 67.99 + 2.38x + 0.24x2?.05x3 y = 32.01?.38x--0.24x2 + 0.05x3 y = 38.41?.12x y = 61.31 + 0.12x y = 99.68 + 0.02x y = 0.32?.02x0.90 0.90 0.90 0.90 0.96 0.96 0.21 0.<0.001 <0.001 <0.001 <0.001 <0.001 <0.001 0.136 0.# " " # # " -y = 48.47?.18x y = 51.50 + 0.18x y = 23.25?.26x y = 76.20 + 0.38x y = 5.92?.19x y = 93.58 + 0.31x y = 65.69?.43x--0.38x2 + 0.05x3 y = 34.30 + 1.44x + 0.37x2?.05x3 y = 1.89 + 0.20x + 0.04x2?.01x3 y = 98.18 + 0.53x--0.13x0.36.Ancy births, with an annual increase of 0.32 , and high explanatory power for the model (r2 = 0.90). C-section birth showed a tendency towards increase, only among premature births, with an average annual increase of 2.38 (Table 3). It is noteworthy that C-section birth was carried out in 79.7 of all deliveries during that period. Table 3 further shows a decreasing trend of preterm births j.addbeh.2012.10.012 for children with Apgar score below 7 at 5 minutes (-0.19 per year) and low birth weight (-1.43 per year). Premature births of children with congenital malformations showed an increasing trend (0.20 per year).DiscussionThis study presents data consistent with those found in the literature, with a significant increase in preterm birth [14], which occurred especially in the moderate period. ExtremePLOS ONE | DOI:10.1371/journal.pone.0141852 November 3,5 /The Growing Trend of Preterm Births: Study in One Region of BrazilTable 2. Factors associated with preterm birth. Maring?PR, Brazil. 2000?002 Variables Mother Age < 20 20?4 35 Partner Yes No Education level <8 8 Parity Primigravida Multigravida Gestation and delivery Pregnancy type Single Multiple Type of delivery C-section Vaginal Prenatal visits <7 7 Delivery site Hospital Others Newborn Sex Female Male Apgar 1 <7 7 Apgar 5 <7 7 Birth weight < 2500 2500 Malformation Yes No 25.6 6.9 4.63 3.06?.01 29.4 11.6 3.18 2.14?.74 55.4 3.3 36.72 31.16?3.28 70.6 5.8 38.76 33.72?4.55 47.6 6.6 12.97 9.33?.02 58.1 11.3 10.88 7.71?5.36 26.2 5.8 5.78 4.84?.90 31.3 10.1 4.07 3.55?.67 7.3 6.9 0.94 0.82?.08 11.6 11.9 1.03 0.93?.13 7.1 10.3 1.45 0.53?.23 11.7 15.8 1.41 0.41?.85 13 5.2 2.76 2.40?.17 23 9.6 2.81 2.51?.15 6.6 8.4 0.77 0.66?.89 11.5 12.6 0.90 0.80?.09 6.4 36.9 8.56 6.67?0.99 10.4 65.9 16.64 13.24?0.92 7.6 6.4 1.21 1.05?.39 11.5 11.9 0.96 0.85?.06 8.2 6.5 1.28 1.11?.47 12.8 11.6 1.12 0.96?.31 6.8 7.6 1.13 0.98?.30 11.5 12.1 1.06 0.96?.17 8.6 6.6 8.5 1.31 1.06?.62 1.34 1.12?.59 12.5 11.4 12.9 1.15 0.10?.32 1.1 0.93?.31 < 37 OR (CI 95 ) < 37 2011?013 OR (CI 95 )doi:10.1371/journal.pone.0141852.tPLOS ONE | DOI:10.1371/journal.pone.0141852 November 3,6 /The Growing Trend of Preterm Births: Study in One Region of BrazilTable 3. Trend models for the rate of preterm births, according to variables of mother, gestation and delivery, and newborn. Maring?PR, Brazil, 2000 to 2013. Variables Mother Age < 20 20?4 35 Partner Yes No Education level <8 8 Parity Primigravida Multigravida Gestation and delivery Pregnancy type Single Multiple Type of delivery C-section Vaginal Prenatal visits <7 7 Delivery site Hospital Others Newborn Sex Female Male Apgar 1 <7 7 Apgar 5 <7 7 Birth weight < 2500 2500 Malformation Yes NoaModelRpTrenday = 16.17?.97x y = 69.84 + 0.71x y = 13.82 + 0.16x y = 57.68?.64x y = 44.40 + 0.85x--0.19x2 y = 16.77?.50x + 0.26x2?.02x3 y = 83.26 + 1.50x--0.28x2 + 0.02x3 y = 51.49?.25x y j.jebo.2013.04.005 = 48.50 + 0.25×0.81 0.76 0.29 0.36 0.59 0.99 0.99 0.09 0.<0.001 <0.001 0.068 0.038 0.007 <0.001 <0.001 0.353 0.# " # " # " -y = 83.86?.32x + 0.11x2 y = 16.14 + 0.32x--0.11x2 y = 67.99 + 2.38x + 0.24x2?.05x3 y = 32.01?.38x--0.24x2 + 0.05x3 y = 38.41?.12x y = 61.31 + 0.12x y = 99.68 + 0.02x y = 0.32?.02x0.90 0.90 0.90 0.90 0.96 0.96 0.21 0.<0.001 <0.001 <0.001 <0.001 <0.001 <0.001 0.136 0.# " " # # " -y = 48.47?.18x y = 51.50 + 0.18x y = 23.25?.26x y = 76.20 + 0.38x y = 5.92?.19x y = 93.58 + 0.31x y = 65.69?.43x--0.38x2 + 0.05x3 y = 34.30 + 1.44x + 0.37x2?.05x3 y = 1.89 + 0.20x + 0.04x2?.01x3 y = 98.18 + 0.53x--0.13x0.36.Ancy births, with an annual increase of 0.32 , and high explanatory power for the model (r2 = 0.90). C-section birth showed a tendency towards increase, only among premature births, with an average annual increase of 2.38 (Table 3). It is noteworthy that C-section birth was carried out in 79.7 of all deliveries during that period. Table 3 further shows a decreasing trend of preterm births j.addbeh.2012.10.012 for children with Apgar score below 7 at 5 minutes (-0.19 per year) and low birth weight (-1.43 per year). Premature births of children with congenital malformations showed an increasing trend (0.20 per year).DiscussionThis study presents data consistent with those found in the literature, with a significant increase in preterm birth [14], which occurred especially in the moderate period. ExtremePLOS ONE | DOI:10.1371/journal.pone.0141852 November 3,5 /The Growing Trend of Preterm Births: Study in One Region of BrazilTable 2. Factors associated with preterm birth. Maring?PR, Brazil. 2000?002 Variables Mother Age < 20 20?4 35 Partner Yes No Education level <8 8 Parity Primigravida Multigravida Gestation and delivery Pregnancy type Single Multiple Type of delivery C-section Vaginal Prenatal visits <7 7 Delivery site Hospital Others Newborn Sex Female Male Apgar 1 <7 7 Apgar 5 <7 7 Birth weight < 2500 2500 Malformation Yes No 25.6 6.9 4.63 3.06?.01 29.4 11.6 3.18 2.14?.74 55.4 3.3 36.72 31.16?3.28 70.6 5.8 38.76 33.72?4.55 47.6 6.6 12.97 9.33?.02 58.1 11.3 10.88 7.71?5.36 26.2 5.8 5.78 4.84?.90 31.3 10.1 4.07 3.55?.67 7.3 6.9 0.94 0.82?.08 11.6 11.9 1.03 0.93?.13 7.1 10.3 1.45 0.53?.23 11.7 15.8 1.41 0.41?.85 13 5.2 2.76 2.40?.17 23 9.6 2.81 2.51?.15 6.6 8.4 0.77 0.66?.89 11.5 12.6 0.90 0.80?.09 6.4 36.9 8.56 6.67?0.99 10.4 65.9 16.64 13.24?0.92 7.6 6.4 1.21 1.05?.39 11.5 11.9 0.96 0.85?.06 8.2 6.5 1.28 1.11?.47 12.8 11.6 1.12 0.96?.31 6.8 7.6 1.13 0.98?.30 11.5 12.1 1.06 0.96?.17 8.6 6.6 8.5 1.31 1.06?.62 1.34 1.12?.59 12.5 11.4 12.9 1.15 0.10?.32 1.1 0.93?.31 < 37 OR (CI 95 ) < 37 2011?013 OR (CI 95 )doi:10.1371/journal.pone.0141852.tPLOS ONE | DOI:10.1371/journal.pone.0141852 November 3,6 /The Growing Trend of Preterm Births: Study in One Region of BrazilTable 3. Trend models for the rate of preterm births, according to variables of mother, gestation and delivery, and newborn. Maring?PR, Brazil, 2000 to 2013. Variables Mother Age < 20 20?4 35 Partner Yes No Education level <8 8 Parity Primigravida Multigravida Gestation and delivery Pregnancy type Single Multiple Type of delivery C-section Vaginal Prenatal visits <7 7 Delivery site Hospital Others Newborn Sex Female Male Apgar 1 <7 7 Apgar 5 <7 7 Birth weight < 2500 2500 Malformation Yes NoaModelRpTrenday = 16.17?.97x y = 69.84 + 0.71x y = 13.82 + 0.16x y = 57.68?.64x y = 44.40 + 0.85x--0.19x2 y = 16.77?.50x + 0.26x2?.02x3 y = 83.26 + 1.50x--0.28x2 + 0.02x3 y = 51.49?.25x y j.jebo.2013.04.005 = 48.50 + 0.25×0.81 0.76 0.29 0.36 0.59 0.99 0.99 0.09 0.<0.001 <0.001 0.068 0.038 0.007 <0.001 <0.001 0.353 0.# ” # ” # ” -y = 83.86?.32x + 0.11×2 y = 16.14 + 0.32x–0.11×2 y = 67.99 + 2.38x + 0.24×2?.05×3 y = 32.01?.38x–0.24×2 + 0.05×3 y = 38.41?.12x y = 61.31 + 0.12x y = 99.68 + 0.02x y = 0.32?.02×0.90 0.90 0.90 0.90 0.96 0.96 0.21 0.<0.001 <0.001 <0.001 <0.001 <0.001 <0.001 0.136 0.# ” ” # # ” -y = 48.47?.18x y = 51.50 + 0.18x y = 23.25?.26x y = 76.20 + 0.38x y = 5.92?.19x y = 93.58 + 0.31x y = 65.69?.43x–0.38×2 + 0.05×3 y = 34.30 + 1.44x + 0.37×2?.05×3 y = 1.89 + 0.20x + 0.04×2?.01×3 y = 98.18 + 0.53x–0.13×0.36.

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