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1 ation results in mothers who were overweight prepregnancy.
11 regnancy LDL-C levels compared with paternal prepregnancy and parental concurrent LDL-C levels in ass
13 7 y, we compared associations with maternal prepregnancy and postpartum BMI z scores and with patern
14 station (P = 0.003), and weight gain between prepregnancy and the postpartum examination (P = 0.03).
15 s the scope of midwifery practice, including prepregnancy, antenatal, labour, birth, and post-partum
19 ry for the prevention of SSI in obese women (prepregnancy BMI >/=30) who had received standard intrav
20 gnancy BMI (in kg/m(2)) <24.0] and 12 obese (prepregnancy BMI >30.0) mothers and their exclusively br
22 fects resulted in null associations for both prepregnancy BMI (beta = 0.03 units, 95% CI: -0.01, 0.07
23 ed in multivitamin users regardless of their prepregnancy BMI (HR: 0.83; 95% CI: 0.73, 0.95), with th
24 asting HM samples were collected from 18 NW [prepregnancy BMI (in kg/m(2)) <24.0] and 12 obese (prepr
25 tconception multivitamin use in women with a prepregnancy BMI (in kg/m(2)) <25 was associated with re
26 ostpartum, 68 lactating Swedish women with a prepregnancy BMI (in kg/m(2)) of 25-35 were randomly ass
28 ffspring were 3 years of age, using parental prepregnancy BMI (measured as weight in kilograms divide
29 t, higher paternal BMI (P < 0.001), maternal prepregnancy BMI (P < 0.001), and lower family socioecon
30 ger maternal age (P = 0.02), higher maternal prepregnancy BMI (P < 0.001), higher maternal weight gai
31 m PPWR and the percentage body fat varied by prepregnancy BMI (P-interaction </= 0.06); excessive GWG
35 - and 2-hour OGTT were positively related to prepregnancy BMI and blood pressure; HDL cholesterol was
36 C-reactive protein was positively related to prepregnancy BMI and diastolic blood pressure (P <0.05).
43 bust standard errors, adjusting for maternal prepregnancy BMI and sociodemographic and perinatal fact
51 ir intentions to breastfeed, women with high prepregnancy BMI had psychosocial characteristics associ
52 sity in offspring during childhood, but high prepregnancy BMI has a stronger influence than either ge
55 PWR (P < 0.001); however, for a woman with a prepregnancy BMI of 30, excessive GWG was associated wit
56 mposition may mediate the impact of maternal prepregnancy BMI on childhood obesity, which warrants fu
61 veloped for women with low, normal, and high prepregnancy BMI were shown to fit the original data.
63 nant women in Washington State, low and high prepregnancy BMI, compared with normal BMI, were associa
65 for potential confounders including maternal prepregnancy BMI, each 1-mmol/L increase in maternal fas
67 ellitus (GDM) that included fasting glucose, prepregnancy BMI, gestational weight gain, age, parity,
68 in addition to national recommendations for prepregnancy BMI, gestational weight gain, and postpartu
69 ted positive and independent associations of prepregnancy BMI, GWG, and percentile change in early ch
71 weight gain during pregnancy, regardless of prepregnancy BMI, is directly related to offspring adipo
72 were adjusted for age at outcome assessment, prepregnancy BMI, marital status and insurance at delive
73 ht z scores in a model adjusted for maternal prepregnancy BMI, mode of delivery, birthweight z score,
74 e, race/ethnicity, parity, education levels, prepregnancy BMI, previous history of preterm birth, mar
76 fter adjustment for covariates, particularly prepregnancy BMI, the majority of associations between A
88 ble factors were identified: healthy weight (prepregnancy BMI: 18.5-24.9 kg/m2) based on clinical mea
89 e; HDL cholesterol was negatively related to prepregnancy BMI; C-reactive protein was positively rela
90 ely), adjusting for age; maternal age, race, prepregnancy BMI; parity; smoking during pregnancy; and
91 cal bacteria of 91 pregnant women of varying prepregnancy BMIs and gestational diabetes status and th
92 Smoking (never, light, heavy), stratified by prepregnancy body mass index (BMI (weight (kg)/height (m
93 we examined the association of (i) maternal prepregnancy body mass index (BMI) and (ii) gestational
95 authors examined the association of maternal prepregnancy body mass index (BMI) and gestational weigh
96 e estimated the association between maternal prepregnancy body mass index (BMI) and the risk of still
97 l weight gain ranges were estimated for each prepregnancy body mass index (BMI) category by selecting
99 ctives were to determine whether 1) maternal prepregnancy body mass index (BMI) is associated with so
100 5% CI) (covariates: mother's age, education, prepregnancy body mass index (BMI), gestational diabetes
101 luenced by perinatal determinants, including prepregnancy body mass index (BMI), gestational weight g
104 tes and included an interaction term between prepregnancy body mass index (BMI; in kg/m(2)) and GWG.
108 y comparing the association between maternal prepregnancy body mass index (BMI; measured as weight in
109 However, the association was modified by prepregnancy body mass index (BMI; weight (kg)/height (m
110 s examined the associations between parental prepregnancy body mass index (BMI; weight (kg)/height (m
111 08), we examined the association of maternal prepregnancy body mass index (BMI; weight (kg)/height (m
112 2.1, 95% CI: 1.0, 4.2), and higher maternal prepregnancy body mass index (body mass index of 25-29 v
113 rent and adjusted for maternal age, maternal prepregnancy body mass index (kilograms per meter square
114 M2.5) and its joint effect with the mother's prepregnancy body mass index (MPBMI) on COWO remain uncl
115 ing evidence demonstrates that both maternal prepregnancy body mass index (mppBMI) and gestational we
116 he relation between gestational glycemia and prepregnancy body mass index (ppBMI) with offspring grow
117 els less than 30 nmol/L after adjustment for prepregnancy body mass index (weight (kg)/height (m)(2))
118 al hazards models adjusted for maternal age, prepregnancy body mass index (weight (kg)/height (m)(2))
119 95% confidence intervals, adjusting for age, prepregnancy body mass index (weight (kg)/height (m)(2))
120 and triglycerides in the association between prepregnancy body mass index (weight (kg)/height (m)2) a
122 echnology (ART) with preterm birth varies by prepregnancy body mass index and 2) whether the associat
123 l and race/ethnic-specific relations between prepregnancy body mass index and both preterm birth and
124 potential confounding factors, particularly prepregnancy body mass index and maternal diabetes, incr
126 ledge, the first representative estimates of prepregnancy body mass index and weight gain during preg
132 In addition, the interaction of group and prepregnancy body mass index was also evaluated, and no
133 from mothers with different food choices and prepregnancy body mass index were determined with two ta
134 in the full cohort and for maternal smoking, prepregnancy body mass index, and gestational weight gai
136 maternal age, height, education, ethnicity, prepregnancy body mass index, and plasma folate, vitamin
137 l adjustment for family history of diabetes, prepregnancy body mass index, and weight gain during pre
138 ng increased significantly with increases in prepregnancy body mass index, current body mass index, p
139 models and adjusted for covariates including prepregnancy body mass index, gestational weight gain, m
140 x, maternal demographics, parity, insurance, prepregnancy body mass index, pregnancy complications, a
143 food allergy, adjusting for maternal atopy, prepregnancy body mass index, smoking during pregnancy,
144 nal age, birth weight, maternal age, parity, prepregnancy body mass index, smoking, hypertension, dia
148 se in studying pregnant women with different prepregnancy body mass indexes, different gestational we
150 examined the associations between change in prepregnancy body-mass index (BMI) from the first to the
151 ere not significantly different from that at prepregnancy, but urinary calcium decreased to 1.87+/-1.
155 protective dose-response association between prepregnancy consumption of a Mediterranean-style dietar
156 ed mortality and morbidity warrant extensive prepregnancy counseling and centralization of care.
157 Suggestive associations included maternal prepregnancy diabetes (HR = 1.33, 95% CI: 0.89, 1.98) an
158 any perinatal mental illness associated with prepregnancy diabetes and identified how diabetes durati
160 ter controlling for changes in maternal age, prepregnancy diabetes mellitus, preterm preeclampsia, mu
161 ES; RR = 2.02; 95% CI: 1.28, 3.18), maternal prepregnancy diabetes or gestational diabetes (RR = 1.54
162 n was used to assess the association between prepregnancy diabetes or gestational diabetes and perina
163 with (n = 14,186) and without (n = 843,818) prepregnancy diabetes who had a singleton livebirth (Ont
166 the total amount and the type and source of prepregnancy dietary fats are related to risk of GDM.
170 rom previous studies on associations between prepregnancy dietary patterns and preterm birth and low
172 ing dyslipidemia is associated with maternal prepregnancy dyslipidemia in excess of measured lifestyl
175 d the increase is positively correlated with prepregnancy fatness, and 3) energy expenditure in activ
177 d data, including TTP, maternal age, parity, prepregnancy height and weight, maternal occupational st
178 Later ICP was more common in women with prepregnancy hepatitis C (OR 5.76; 1.30-25.44; P = 0.021
181 increased significantly with the recency of prepregnancy hospitalizations, number of previous hospit
183 nulliparous women with complete data and no prepregnancy hypertension or diabetes who were treated a
186 essing maternal educational immunity through prepregnancy immunization programs has potential for imp
190 e while pregnant compared with an equivalent prepregnancy interval was similar to that seen in pregna
192 g LDL-C levels were associated with maternal prepregnancy LDL-C levels after adjustment for family re
195 ts who had been exposed to elevated maternal prepregnancy LDL-C levels were at a 3.8 (95% CI, 1.5-9.8
196 lly during pregnancy but quickly drops below prepregnancy levels at birth and remains suppressed duri
197 sting for age, race, parental education, and prepregnancy lifestyle and CVD risk factors, preterm del
200 sitively associated with GDM risk, whereas a prepregnancy low-carbohydrate dietary pattern with high
201 o prospectively examine the association of 3 prepregnancy low-carbohydrate dietary patterns with risk
202 9-1.36), pre-eclampsia (RR 1.32, 1.20-1.45), prepregnancy maternal antidepressant use (RR 1.48, 1.29-
203 other confounding factors, considering that prepregnancy maternal antidepressant use was also convin
207 es substantially to the total effects of the prepregnancy Mediterranean diet on GDM and HDP risk.
208 direct, and natural indirect effects of the prepregnancy Mediterranean diet on incident GDM and HDP
209 widely from woman to woman depending on her prepregnancy nutrition, genetic determinants of fetal si
210 for maternal educational level, parity, and prepregnancy obesity (adjusted odds ratio, 2.36; 95% CI,
211 997-2009) to examine the association between prepregnancy obesity (body mass index, measured as weigh
212 rted by 33% of women and was associated with prepregnancy obesity (OR: 1.56; 95% CI: 1.07, 2.29), old
213 ored whether there is an association between prepregnancy obesity and periodontitis among pregnant fe
214 There is a positive association between prepregnancy obesity and periodontitis among pregnant fe
216 usted odds ratio for the association between prepregnancy obesity and spina bifida was 1.48 (95% conf
220 lmer et al., particularly their finding that prepregnancy obesity modifies the relationship between l
223 ion of risk factors such as hypertension and prepregnancy obesity that disproportionately affect Afri
224 In apparently healthy women of fertile age, prepregnancy obesity was associated with increased risks
226 race and ethnicity, smoking, stress, atopy, prepregnancy obesity) showed that increased PM2.5 exposu
227 adjusted for maternal age, race, education, prepregnancy obesity, atopy, and smoking status identifi
228 nd maternal receipt of public assistance and prepregnancy obesity, higher prenatal PAH exposures were
230 Measurements were made before conception (prepregnancy), once during each trimester of pregnancy (
231 f women who gave birth, 15.2% (n = 100) with prepregnancy or gestational diabetes and 8.5% (n = 886)
233 Exclusion criteria were BMI <30.0 or >39.9, prepregnancy or gestational diabetes, age <18 y, multipl
234 r the first birth, by women with and without prepregnancy or prenatal psychiatric hospitalization.
238 ultivitamin use and PTBs varied according to prepregnancy overweight status (P-interaction = 0.07).
242 y decreased during pregnancy relative to the prepregnancy period (odds ratios, 0.25-0.26), and they r
243 supplement use (compared with no use) in the prepregnancy period through the first trimester and asth
244 for race/ethnicity, marital status, parity, prepregnancy physical activity, and income in a multiple
245 Adjustment for prepregnancy body mass index, prepregnancy physical activity, and prepregnancy smoking
246 ical cords of infants born to normal-weight (prepregnancy [pp] BMI 21.1 +/- 0.3 kg/m(2); n = 15; NW-M
248 of cardiac events was compared during equal prepregnancy, pregnancy, and postpartum intervals (40 we
250 review of the literature showed that mainly prepregnancy proteinuria, hypertension, and high SCr are
252 to prevent anaphylaxis in pregnancy through prepregnancy risk assessment and risk reduction strategi
253 ific defects or lesions, imaging techniques, prepregnancy risk assessment,and can manage these patien
256 The r-AKI and control groups had similar prepregnancy serum creatinine measurements (0.70+/-0.20
257 s index, prepregnancy physical activity, and prepregnancy smoking attenuated the associations slightl
258 ociodemographics, pregnancy characteristics, prepregnancy smoking intensity, depression, behavioral s
259 ox proportional hazards model, adjusting for prepregnancy sociodemographic, lifestyle, reproductive,
261 during the periconceptional period (1 month prepregnancy through the third pregnancy month) were div
262 ion of calcium increased from 32.9+/-9.1% at prepregnancy to 49.9+/-10.2% at T2 and 53.8+/-11.3% at T
263 calcium increased from 4.32+/-2.20 mmol/d at prepregnancy to 6.21+/-3.72 mmol/d at T3 (P < 0.001), bu
264 at and long-term PPWR (change in weight from prepregnancy to 7 y postpartum)], adjusting for covariat
265 2 weeks preconception and during gestation), prepregnancy trained (housed with running wheels for 2 w
269 ncrease the percentages of women who reached prepregnancy weight (n = 261; 45.3% compared with 35.3%;
272 The mother's periodontal parameters, age, prepregnancy weight and height and body mass index (BMI)
275 ation to birth outcomes and whether maternal prepregnancy weight and infant sex modified the associat
277 significant effect on the odds of achieving prepregnancy weight at 12 mo postpartum (n = 331; 35.4%
278 he intervention women were at or below their prepregnancy weight at 2 mo postpartum compared with 12.
284 l second-trimester urinary arsenic, maternal prepregnancy weight through self-report, and birth outco
286 mates from random-effects multilevel models, prepregnancy weight was positively associated with all o
288 Maternal weight gain during pregnancy and prepregnancy weight were ascertained from medical record
289 ciation of gestational weight gain (GWG) and prepregnancy weight with offspring adiposity and cardiov
290 .1 years; Hispanic, 81.6%; mean weight above prepregnancy weight, 7.8 kg; mean months post partum, 5.
291 for maternal age, race, education, smoking, prepregnancy weight, gestational age at blood draw, and