Literature DB >> 34611006

Impact of body weight on the outcome of pregnancy: A prospective cohort study.

Ettedal A Aljahdali1.   

Abstract

OBJECTIVES: To assess the impact of body weight and body mass index (BMI) on pregnancy outcome.
METHODS: This prospective cohort study included 3026 pregnant women attending Bakhsh Hospital, Jeddah, Saudi Arabia between July 2017 and June 2019. They were classified according to BMI into normal, overweight, and obese, and were followed up until delivery. The normal group was used as control. Fetal indicators (gestational age at delivery, birth weight, congenital anomalies, Apgar score at 1 and 5 minutes, and admission to neonatal intensive care unit), and maternal indicators (cesarian section, incomplete placental removal, and blood loss volume during labor) were compared between groups.
RESULTS: Prevalence rates of diabetes mellitus and hypertension were higher among overweight and obese women than women with normal BMI (p<0.001). Incidence rates of macrosomia (p=0.002), cesarean sections (p<0.001), incomplete and manual removal of placenta (p<0.011), and >300 ml blood loss (p<0.001) were higher among overweight and obese women than in women with normal BMI.
CONCLUSION: Overweight and obese pregnant women are at high risk of adverse pregnancy outcomes and need careful periconception, antenatal, in labor, and postpartum care. We also recommend weight control. Copyright: © Saudi Medical Journal.

Entities:  

Keywords:  Saudi Arabia; body mass index; fetal macrosomia; pregnancy outcome

Mesh:

Year:  2021        PMID: 34611006      PMCID: PMC9129251          DOI: 10.15537/smj.2021.42.10.20210293

Source DB:  PubMed          Journal:  Saudi Med J        ISSN: 0379-5284            Impact factor:   1.422


Female obesity has become one of the major public health concerns of the past century, due to its growing incidence and impact on pregnancy. Prevalence of female obesity in 2016 globally according to the World Health Organization was 15.1%. Obesity is rapidly increasing in all countries including Saudi Arabia. Elevated maternal body mass index (BMI) is associated with numerous adverse pregnancy outcomes such as pre-eclampsia, eclampsia, pre- and post-term birth, labor induction, macrosomia, childhood obesity, cesarean section, and postpartum hemorrhage. The National Academies Institute of Medicine in the United States proposed in 1990 that maternal weight gain during pregnancy should be based on pre-pregnancy BMI. This was updated in 2009. For women with an underweight BMI (<19.8 kg/m ), a weight gain of 12.5-18 kg was suggested; for women with a normal BMI (19.8-24.9 kg/m ), a weight gain of 11.5-16 kg; for women with an overweight BMI (25.0-29.9 kg/m ), a weight gain of 7-11.5 kg; and finally for women with an obesity BMI (>29.9 kg/m ), a weight gain of 5-9 kg was proposed. For many years the literature has advised an individualized approach to nutritional counseling concerning women’s access to food, socioeconomic status, race-ethnicity and cultural food choices, and BMI; although this was geared to uncomplicated pregnancies. Therefore, lifestyle modifications have been recognized as essential for a healthy peripartum period. Recently, more evidence on the ‘fetal programming hypothesis’ has improved understanding of the importance of the intrauterine environment in pregnancy continuity and neonatal outcomes. Its subsequent long-term impact on women’s health and offspring development has also been noted. In multiple publications, body weight has been identified as one of the core maternal factors influencing the intrauterine environment and its health. In this study, we investigate the impact of body weight and BMI on pregnancy course and outcome in patients attending Bakhsh Hospital, Jeddah, Kingdom of Saudi Arabia (KSA).

Methods

This prospective cohort study comprised 3026 pregnant women attending Bakhsh Hospitals in Jeddah, KSA from July 2017 to June 2019. Inclusion criteria included pregnant women aged 16-50 years. Those aged less than 16 and older than 50 years were excluded. They were classified according to BMI into normal (BMI <25), overweight (BMI 25-29.99) and obese (BMI ≥30) and were followed up until delivery. The normal BMI group was used as control. The fetal indicators were as follows: gestational age at termination of pregnancy, birth weight of the pregnancy outcome, congenital anomalies in the outcome, Apgar score at 1 and 5 minutes, and admission to the neonatal intensive care unit (NICU). The maternal indicators were: cesarian section (C/S), incomplete placental removal, and volume of blood lost during labor. Indicators were compared between normal BMI (<25 kg/m ) and overweight or obese (BMI ≥25 kg/m ) groups. The study was approved by the Department of Obstetrics and Gynecology in Bakhsh Hospital, and verbal consent was obtained from the patient. Study was carried out according to Helsinki declaration.

Statistical analysis

Data were analyzed using the Statistical Package for Social Sciences Version 21 (IBM Corp., Armonk, N.Y., USA). Categorical variables were presented as numbers and percentages, and compared using the Chi square or Monte Carlo test. Continuous variables before and after pregnancy were presented as means ± standard deviations and were compared using a paired t test. Relative risk was calculated to assess the impact of obesity on pregnancy outcome after classification according to BMI. All tests were 2-tailed, and p<0.05 was considered statistically significant. Correlations were tested using Spearman’s correlations.

Results

Of the women studied, 35.5% were normal, 32.9 overweight and 31.6 were obese (Table 1). The demographic characteristics of the sample are summarized in Table 2. More than half of the participants were in the age groups 26-30 and 31-35 years, with most of them in the normal BMI group (40.8% and 32.4%). Nearly 32% of both age groups were overweight, and 27% and 34% of both age groups respectively were obese. There was a significant difference between the 3 BMI groups (p<0.001). Most participants had been pregnant 2-4 times (gravidity 2-4) and of these 35.9% had a normal BMI, 33% were overweight, and 31% were obese. Nearly 42% of the primigravida had a normal BMI, and 30% were overweight with a significant difference regarding gravidity between the 3 groups (p<0.001). Most participants had delivered 2-4 times previously (parity 2-4), and of these 32% had a normal BMI, 33.5% overweight, 34% were obese. Of the nullipara, 40.7% had a normal BMI, 31% were overweight, and 28% were obese with a significant difference regarding parity between the 3 groups (p<0.001). More than 2/3 of participants had not previously had an abortion, and of these 37.7% had a normal BMI and 31.7% were overweight. Most of those who had previously had an abortion had undergone only one. Of those who, 36% were overweight and 33.7% were obese. Of those who had undergone 2-4 abortions, most were overweight (37.4%) and obese (36.2%) with a significant difference between the 3 groups (p=0.002). Most participants had not previously suffered a stillbirth. Of those who had previous history of stillbirth, 35.5% had a normal BMI, 32.8% were overweight and 31.7% were obese. Of those who had undergone 2-4 stillbirths, 50% were obese, 37.5% were overweight, and 12.5% had a normal BMI, but there was no significant difference between the groups (p=0.841). Most participants did not have any disease, although most participants with medical diseases had diabetes mellitus. Of these with diabetes, 39.3% were overweight, 36% were obese, and 24.6% had a normal BMI. Of those with hypertension, pre-eclampsia, and eclampsia, 59.2% were obese, 22.5% were overweight, and 18.3% had normal BMI, with a significant difference (p<0.001) between the groups (Table 2).
Table 1

- Prevalence of obesity among participants (N=3026).

Body mass index categoryn(%)
Normal1073(35.5)
Overweight996(32.9)
Obese958(31.6)
Table 2

- Demographic and medical characteristics of participants according to pre-pregnancy body mass index (N=3026).

VariableNormal (n=1073)Overweight (n=995)Obese (n=958) P-value
Age <0.001*
16-2025 (43.1)15 (25.9)18 (31.0) 
21-25240 (42.9)178 (31.8)142 (25.4) 
26-30388 (40.8)305 (32.0)259 (27.2) 
31-35264 (32.4)268 (32.8)284 (34.8) 
36-40127 (25.5)179 (35.9)193 (38.7) 
41-4527 (20.6)44 (33.6)60 (45.8) 
> 452 (20.0)6 (60.0)2 (20.0) 
Gravidity <0.001*
1299 (41.9)214 (30.0)200 (28.1) 
2 to 4639 (35.9)589 (33.1)551 (31.0) 
>5135 (25.3)192 (36.0)207 (38.8) 
Parity <0.001*
0344 (40.7)265 (31.3)237 (28.0) 
1328 (37.3)288 (32.7)264 (30.0) 
2 to 4379 (32.3)393 (33.5)400 (34.1) 
>522 (17.2)49 (38.3)57 (44.5) 
Abortions 0.002**
0847 (37.7)712 (31.7)689 (30.6) 
1158 (30.3)188 (36.0)176 (33.7) 
2 to 464 (26.3)91 (37.4)88 (36.2) 
>54 (30.8)4 (30.8)5 (38.5) 
Stillbirth 0.841**
01064 (35.5)984 (32.8)949 (31.7) 
14 (36.4)4 (36.4)3 (27.3) 
2 to 41 (12.5)3 (37.5)4 (50.0) 
>54 (40.0)4 (40.0)2 (20.0) 
Medical diseases <0.001**
None824 (39.9)678 (32.8)565 (27.3) 
DM97 (24.6)155 (39.3)142 (36.0) 
HTN, PET and eclampsia13 (18.3)16 (22.5)42 (59.2) 
Cardiac1 (20.0)2 (40.0)2 (40.0) 
Renal2 (33.3)4 (66.7)0 (0.0) 
CNS1 (50.0)1 (50.0)0 (0.0) 
DM + HTN12 (8.9)16 (11.9)107 (79.3) 
Others123 (35.5)123 (35.5)100 (28.9) 

Values are presented as number and percentage (%).

*Chi-square test was used,

**Monte Carlo test was used, The test of significance was carried out at the 0.05 level, significant results are in bold. DM: diabetes mellitus, HTN: hypertension, PET: pre-eclampsia toxemia, CNS: central nervous system

- Prevalence of obesity among participants (N=3026). - Demographic and medical characteristics of participants according to pre-pregnancy body mass index (N=3026). Values are presented as number and percentage (%). *Chi-square test was used, **Monte Carlo test was used, The test of significance was carried out at the 0.05 level, significant results are in bold. DM: diabetes mellitus, HTN: hypertension, PET: pre-eclampsia toxemia, CNS: central nervous system The highest mean pre-pregnancy and in labor weights were found in the 36-40 age group (71.47-78.81 kg) and the 41-45 group (75.46-82.08 kg). The largest weight increases were found in the 16-20 age group (13.7%) and the >40 group (13%) and these were statistically significant different in terms of BMI (p<0.001). As regards to stillbirth, the highest increase was in those who had not previously suffered a stillbirth (11.5%), and the difference was statistically significant (p=0.001). The highest pre-pregnancy and in labor weights were found in those who had both DM and hypertension (91.46-96.5 kg), but the highest increase was found in those free of medical diseases (12.4%), with a statistically significant difference (p<0.001) (Table 3).
Table 3

- Comparison of pre-pregnancy and in labor weight according to sample characteristics (n=3026).

VariablesPre-pregnancy weightIn labor weightPercent of change % P-value
MeanSDMeanSD
Age (years)
16-2062.614.971.214.213.7<0.001
21-2563.2515.771.414.812.8<0.001
26-3066.416.7574.215.611.8<0.001
31-3569.917.777.716.411.2<0.001
36-4071.516.878.816.010.4<0.001
41-4575.518.682.116.88.8<0.001
>4569.017.878.013.413<0.001
Gravidity
165.716.873.715.612.2<0.001
2 to 467.617.275.416.111.5<0.001
>572.017.079.315.910.2<0.001
Parity
066.016.773.915.512<0.001
167.017.5574.816.511.7<0.001
2 to 469.417.177.015.911<0.001
>574.016.4581.314.910<0.001
Abortions
067.117.375.016.111.8<0.001
169.516.777.115.411<0.001
2 to 472.316.879.615.910.1<0.001
>569.817.770.021.20.0030.949
Stillbirth
067.917.275.716.011.50.001
163.414.269.814.5100.002
2 to 483.819.687.515.84.50.080
>566.012.061.017.8-7.50.343
Medical diseases
None65.616.173.715.1512.4<0.001
DM70.415.478.014.310.8<0.001
HTN, PET, eclampsia80.619.387.316.78.4<0.001
Cardiac77.013.085.015.810.40.016
Renal66.74.148.35.2-270.002
CNS65.014.165.014.101
DM+HTN91.518.096.516.75.5<0.001
Others67.016.674.615.311.5<0.001

Values are presented as mean and standard deviation. A paired t test was used. The test of significance was carried out at the 0.05 level. Significant results are in bold, DM; diabetes mellitus, HTN: hypertension, PET: pre-eclampsia toxemia, CNS: central nervous system

- Comparison of pre-pregnancy and in labor weight according to sample characteristics (n=3026). Values are presented as mean and standard deviation. A paired t test was used. The test of significance was carried out at the 0.05 level. Significant results are in bold, DM; diabetes mellitus, HTN: hypertension, PET: pre-eclampsia toxemia, CNS: central nervous system In most participants, birth weight ranged from 2.6 to 3.5 kg. More than 40% of those who had babies with a birth weight < 2.5 kg had a normal BMI; 63% of those whose birth weight was 4.1-4.5 kg were overweight and 80% of those whose birth weight was >4.5 kg were obese. The difference between the 3 groups was significant (p<0.001). Most participants whose babies had a birth weight <3.5 kg had a normal BMI, but most participants where birth weight was >3.5 kg were obese or overweight (p value regarding birth weight <0.001) (Table 4, Figure 1).
Table 4

- The effect of maternal BMI on the outcome of pregnancy.

VariableNormal (n=1073)Overweight (n=995)Obese (n=958) P-value
Birth weight <0.001*‡
<2 kg29 (41.4)19 (27.1)22 (31.4) 
2-2.5126 (43.8)74 (25.7)88 (30.6) 
2.6-3422 (38.5)364 (33.2)310 (28.3) 
3.1-3.5403 (33.2)423 (34.8)389 (32.0) 
3.6-488 (27.8)106 (33.4)123 (38.8) 
4.1-4.55 (14.3)8 (22.9)22 (62.9) 
>4.50 (0.0)1 (20.0)4 (80.0) 
Gestational age (weeks) 0.466
<244 (33.3)5 (41.7)3 (25.0) 
24-297 (63.6)1 (9.1)3 (27.3) 
30-3533 (35.9)32 (34.8)27 (29.3) 
35-37172 (33.3)165 (32.0)179 (34.7) 
>38857 (35.8)792 (33.1)746 (31.1) 
Congenital anomalies 0.252
None1062 (35.3)994 (33.0)952 (31.6) 
Skeletal3 (60.0)0 (0.0)2 (40.0) 
Renal2 (66.7)0 (0.0)1 (33.3) 
Chromosomal2 (100.0)0 (0.0)0 (0.0) 
CNS0 (0.0)0 (0.0)1 (100.0) 
Others4 (57.1)1 (14.3)2 (28.6) 
Apgar score 1 minute 0.114
Normal1034 (35.3)971 (33.1)926 (31.6) 
Abnormal35 (41.2)24 (28.2)26 (30.6) 
Dead4 (40.0)0 (0.0)6 (60.0) 
Apgar score 5 minute 0.147
Normal1055 (35.4)986 (33.1)942 (31.6) 
Abnormal14 (42.4)9 (27.3)10 (30.3) 
Dead4 (40.0)0 (0.0)6 (60.0) 
Mode of delivery (26.9)<0.001*
Vaginal736 (41.7)552 (31.3)475 (40.5) 
Elective C/S181 (23.9)270 (35.6)307 (34.9) 
Emergency C/S156 (30.9)173 (34.3)176 
Admission 0.315
Nursery1029 (35.3)962 (33.0)923 (31.7) 
NICU for preterm15 (46.9)10 (31.3)7 (21.9) 
NICU for distress21 (33.9)21 (33.9)20 (32.3) 
NICU for anomalies2 (40.0)2 (40.0)1 (20.0) 
Dead6 (46.2)0 (0.0)7 (53.8) 
Placenta 0.036†‡
Complete1011 (36.1)919 (32.8)872 (31.1) 
Incomplete1 (50.0)1 (50.0)0 (0.0) 
Manual removal61 (27.5)75 (33.8)86 (38.7) 
Blood loss <0.001*
<100 ml7 (26.9)13 (50.0)6 (23.1) 
100-300 ml874 (38.3)745 (32.6)665 (29.1) 
301-500 ml165 (25.6)217 (33.6)263 (40.8) 
501-1000 ml27 (38.0)20 (28.2)24 (33.8) 

Values are presented as number and percentage (%).

*Chi-square test was used.

†Monte Carlo test was used The test of significance was carried out at the 0.05 level.

‡Significant resultst

Figure 1

- Birth weight in kg according to body mass index.

- Birth weight in kg according to body mass index. - The effect of maternal BMI on the outcome of pregnancy. Values are presented as number and percentage (%). *Chi-square test was used. †Monte Carlo test was used The test of significance was carried out at the 0.05 level. ‡Significant resultst There was no significant difference between the 3 groups as regards to gestational age, congenital anomalies, Apgar score at 1 and 5 minutes, or admission to NICU. Of those who delivered vaginally, 42% had a normal BMI. Of those who delivered by elective C/S (41%) and emergency C/S (35%) were obese; and the difference was significant (p<0.001). Of the participants with manual placental removal, 39% were obese and the difference between the 3 BMI groups was significant (p=0.036). Most of those who had a blood loss volume >300 ml were obese, with a significant difference between the 3 BMI groups (p<0.001) (Table 4). Macrosomia occurred 3.8 times more among overweight and obese pregnant women than in those with a normal BMI (p=0.002). There was no significant result between BMI groups for Apgar score at 1 and 5 minutes. Cesarean sections occurred 1.510 times (CI: 1.366-1.668) more among overweight and obese pregnant women than in those with normal BMI (p<0.001). Incomplete and manual removal of the placenta occurred 1.436 times (CI: 1.082-1.905) more among overweight and obese pregnant women than in those with normal BMI (p=0.011). Blood loss >300 ml occurred 1.499 times (CI: 1.294-1.738) more in overweight and obese pregnant women than in those with normal BMI (p<0.001) (Table 5).
Table 5

- Relative risk of adverse pregnancy outcome due to obesity.

OutcomeOverweight or obese (BMI >25)Normal BMI (<25)Relative risk (95% CI) P-value
Macrosomia35 (1.8)5 (0.5)3.846 (1.511-9.787)0.002*
Preterm415 (21.2)216 (20.1)1.056 (0.912-1.222)0.469
Apgar 1 min56 (2.9)39 (3.6)0.789 (0.528-1.1790.247
Apgar 5 min25 (1.3)18 (1.7)0.763 (0.418-1.392)0.377
Cesarean section926 (47.4)337 (31.4)1.510 (1.366-1.668)<0.001*
Incomplete and manual placenta removal162 (8.3)62 (5.8)1,436 (1.082-1.905)0.011*
>300 ml blood loss524 (26.8)192 (17.9)1.499 (1.294-1.738)<0.001*

Values are presented as number and percentage (%). Chi-square test was used. The test of significance was carried out at the 0.05 level.

*Significant results

- Relative risk of adverse pregnancy outcome due to obesity. Values are presented as number and percentage (%). Chi-square test was used. The test of significance was carried out at the 0.05 level. *Significant results

Discussion

Obesity in women is one of the major public health concerns of the past century due to growing evidence of the negative impact on maternal and fetal outcomes of pregnancy. Our study found similar results to other studies indicating major pregnancy complications due to obesity, including gestational diabetes, hypertension, C/S, fetal macrosomia and increased risk of later childhood obesity. Risks during pregnancy also include stillbirth and congenital anomalies. This study indicates that the incidence of macrosomic babies increased substantially in obese and overweight women, compared to women with a normal BMI. These results also support a study which suggested that babies from mothers with a higher BMI have higher risks for childhood obesity. This long-term impact of maternal body weight has also been supported by another study, which suggested the effect of maternal obesity on offspring health increasing the risk of coronary heart diseases, DM, asthma and childhood obesity. The Apgar score is a widely-used indicator of fetal wellbeing. It provides information about the prognosis of neonatal survival especially among preterm infants. The present study did not find significant differences in Apgar score at 1 and 5 minutes between groups of obese and overweight women compared to the group of women with normal BMI, unlike the existing literature. For example, 2 studies suggested that children from obese pregnant women had an increased risk of low Apgar scores at 1 and 5 minutes. Therefore, further research is needed to investigate possible reasons for this disparity. In addition, one study reported that maternal obesity could increase the risk of infants admitted to NICU. Moreover, this study also found Apgar score discrepancies that normalized within 10 minutes of delivery, which suggests a transient decrease in the condition of the neonate at the time of delivery. Increased incidences of fetal acidosis were observed in babies of mothers with morbid obesity compared to babies from non-obese mothers. These complications were suggested to result from conditions such as dysfunctional labor or placental insufficiency, which are more prevalent in obese mothers, as dysfunctional labor or placental insufficiency could increase the rates of fetal acidosis and consequently lower Apgar scores. Regarding the incidence of C/S, our study suggests that it increases with maternal BMI. There is a statistically significant relationship between maternal BMI and the number of C/S performed, as found by a study of 112,309 women in 2016. It concluded that women with a higher BMI than normal also had higher incidences of cesarian delivery, pre-labor cesarean delivery, intrapartum cesarean delivery, cesarean delivery after induction, and cesarean delivery after spontaneous labor. The authors also reported a higher incidence of induction of labor in cases of overweight and obese mothers. Our results also support a previous study which suggests an increased rate of C/S among obese mothers with odds ratio of 2:1. In our study, incomplete and manual removal of the placenta occurred more among overweight and obese pregnant women than in those with a normal BMI, with a statistically significant difference. Our study also found a significant relationship between maternal BMI and the amount of blood lost during and shortly after delivery. It further supports the current evidence that elevated BMI increases the incidence of postpartum hemorrhage which may differ according to the delivery mode. Another study suggest that obese women had higher quantities of blood loss, required more transfused blood units and had more severe morbidity although they had the same management as those with normal BMI. However, debate is still ongoing on other such outcomes resulting from pre-pregnancy obesity or obesity occurring throughout pregnancy. Studies described how obesity might predispose for maternal and fetal illnesses either before or during pregnancy. On contrary, a previous study suggested that pre-pregnancy obesity has a protective effect associated with longer gestation duration and lower risk of preterm or low birth weight. Insulin resistance increases during pregnancy especially during the last half of pregnancy. Maternal obesity is one of the factors causing this resistance. However, the causal mechanism is very complex and still not understood completely. If insulin resistance during pregnancy is severe, it may cause short or long term metabolic dysfunction both in the mother and offspring.

Study limitations

Feeding patterns during pregnancy were not studied, and neither was the knowledge of the sample about the impact of BMI on pregnancy outcomes. The study was carried out in a single tertiary care facility. Results are relevant only to Arab women in Saudi Arabia and those delivering within a tertiary care facility. In conclusion, overweight and obese pregnant women are at high risk of adverse pregnancy outcomes, such as diabetes mellitus, hypertension, macrosomia, C/S, incomplete and manual removal of the placenta, and high blood loss. They therefore require careful periconception, antenatal, in labor and postpartum care. Obesity in women is one of the few risk factors of adverse pregnancy outcome which is modifiable even before pregnancy, with a noticeable improvement in pregnancy outcome. This study therefore recommends weight loss before becoming pregnant to improve the health status of the mother and pregnancy outcome. Comprehensive interventions can be carried out to control the obesity epidemic through healthy diet, reducing sedentary life with more exercise and health education about obesity and its impact on maternal health and pregnancy outcome.
  20 in total

Review 1.  The Risks Associated With Obesity in Pregnancy.

Authors:  Johannes Stubert; Frank Reister; Steffi Hartmann; Wolfgang Janni
Journal:  Dtsch Arztebl Int       Date:  2018-04-20       Impact factor: 5.594

2.  Diet and Lifestyle Before and During Pregnancy - Practical Recommendations of the Germany-wide Healthy Start - Young Family Network.

Authors:  Berthold Koletzko; Monika Cremer; Maria Flothkötter; Christine Graf; Hans Hauner; Claudia Hellmers; Mathilde Kersting; Michael Krawinkel; Hildegard Przyrembel; Marianne Röbl-Mathieu; Ulrich Schiffner; Klaus Vetter; Anke Weißenborn; Achim Wöckel
Journal:  Geburtshilfe Frauenheilkd       Date:  2018-09-25       Impact factor: 2.915

Review 3.  Obesity and pregnancy: mechanisms of short term and long term adverse consequences for mother and child.

Authors:  Patrick M Catalano; Kartik Shankar
Journal:  BMJ       Date:  2017-02-08

4.  The Impact of Obesity on the Management and Outcomes of Postpartum Hemorrhage.

Authors:  Aleksandra Polic; Tierra L Curry; Judette M Louis
Journal:  Am J Perinatol       Date:  2020-10-14       Impact factor: 1.862

5.  Maternal body mass index, gestational weight gain, and the risk of overweight and obesity across childhood: An individual participant data meta-analysis.

Authors:  Ellis Voerman; Susana Santos; Bernadeta Patro Golab; Pilar Amiano; Ferran Ballester; Henrique Barros; Anna Bergström; Marie-Aline Charles; Leda Chatzi; Cécile Chevrier; George P Chrousos; Eva Corpeleijn; Nathalie Costet; Sarah Crozier; Graham Devereux; Merete Eggesbø; Sandra Ekström; Maria Pia Fantini; Sara Farchi; Francesco Forastiere; Vagelis Georgiu; Keith M Godfrey; Davide Gori; Veit Grote; Wojciech Hanke; Irva Hertz-Picciotto; Barbara Heude; Daniel Hryhorczuk; Rae-Chi Huang; Hazel Inskip; Nina Iszatt; Anne M Karvonen; Louise C Kenny; Berthold Koletzko; Leanne K Küpers; Hanna Lagström; Irina Lehmann; Per Magnus; Renata Majewska; Johanna Mäkelä; Yannis Manios; Fionnuala M McAuliffe; Sheila W McDonald; John Mehegan; Monique Mommers; Camilla S Morgen; Trevor A Mori; George Moschonis; Deirdre Murray; Carol Ní Chaoimh; Ellen A Nohr; Anne-Marie Nybo Andersen; Emily Oken; Adriëtte J J M Oostvogels; Agnieszka Pac; Eleni Papadopoulou; Juha Pekkanen; Costanza Pizzi; Kinga Polanska; Daniela Porta; Lorenzo Richiardi; Sheryl L Rifas-Shiman; Luca Ronfani; Ana C Santos; Marie Standl; Camilla Stoltenberg; Elisabeth Thiering; Carel Thijs; Maties Torrent; Suzanne C Tough; Tomas Trnovec; Steve Turner; Lenie van Rossem; Andrea von Berg; Martine Vrijheid; Tanja G M Vrijkotte; Jane West; Alet Wijga; John Wright; Oleksandr Zvinchuk; Thorkild I A Sørensen; Debbie A Lawlor; Romy Gaillard; Vincent W V Jaddoe
Journal:  PLoS Med       Date:  2019-02-11       Impact factor: 11.069

Review 6.  From conception to infancy - early risk factors for childhood obesity.

Authors:  Elvira Larqué; Idoia Labayen; Carl-Erik Flodmark; Inge Lissau; Sarah Czernin; Luis A Moreno; Angelo Pietrobelli; Kurt Widhalm
Journal:  Nat Rev Endocrinol       Date:  2019-07-03       Impact factor: 43.330

7.  Apgar Score and Risk of Neonatal Death among Preterm Infants.

Authors:  Sven Cnattingius; Stefan Johansson; Neda Razaz
Journal:  N Engl J Med       Date:  2020-07-02       Impact factor: 91.245

8.  Risk of major congenital malformations in relation to maternal overweight and obesity severity: cohort study of 1.2 million singletons.

Authors:  Martina Persson; Sven Cnattingius; Eduardo Villamor; Jonas Söderling; Björn Pasternak; Olof Stephansson; Martin Neovius
Journal:  BMJ       Date:  2017-06-14

9.  Prediction of stillbirth in women with overweight or obesity-A register-based cohort study.

Authors:  H Åmark; M Westgren; M Persson
Journal:  PLoS One       Date:  2018-11-19       Impact factor: 3.240

10.  Prepregnancy obesity status and risks on pregnancy outcomes in Shanghai: A prospective cohort study.

Authors:  Jie Shen; Zhiping Zhang; Ke Chen; Mei Lu; Qiao Qian; Pengfei Liu; Qingyun Gao; Chengfeng Zhang
Journal:  Medicine (Baltimore)       Date:  2018-10       Impact factor: 1.817

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.