Pre-pregnancy overweight and obesity prevalence and relation to maternal and perinatal outcomes

Objective: To identify the prevalence of pre-pregnancy overweight/obesity in pregnant women and its relationship with socio-demographic factors and to describe the maternal and perinatal outcomes in a Barcelona hospital (Spain)


Introduction
Obesity is an increasingly more prevalent health problem in our society. 1Women who begin pregnancy with a Body Mass Index (BMI) > 25 kg/m 2 are at higher risk of maternal adverse outcomes. 2In Europe, the prevalence of pre-pregnancy overweight and obesity is between 26.8% and 54%. 3 However, there are scarce data concerning pre-pregnancy obesity women who lives in the Mediterranean region. 4 the same time, socio-demographic and obstetric factors seem to be related to women beginning pregnancy with overweight and obesity. 5he socio-demographic characteristics, as well as the diet and lifestyles of pregnant women of southern Europe, could differ from the women of central-northern Europe, and therefore, it could influence perinatal outcomes.
The aims of this study were to identify the prevalence of pre-pregnancy overweight/obesity in pregnant women and its relation with socio-demographic factors and to describe the maternal and perinatal outcomes in a hospital of Barcelona city (Spain).

Method Study design and setting.
We conducted a descriptive cross association study, with retrospective data collection, of all pregnant women who gave birth in a high maternity complexity hospital in ''Clinic Hospital of Barcelona'' from January 1, 2015 to December 31, 2016 in Barcelona (Spain).

Study population
The inclusion criteria were women with delivery after 23 weeks of gestational age (GA).Multiple pregnancies and women in whom the pre-pregnancy BMI was not available in the electronic medical record were excluded from the study.

Study variables
The following variables were collected: woman's age in complete years, pre-pregnancy BMI in kg/m 2 based on the weight reported by the woman herself 6 and classified into the following categories: underweight (BMI < 18.5 kg/m 2 ); normal weight (BMI between 18.5 and 24.9 kg/m 2 ); overweight (BMI between 25 and 29.9 kg/m 2 ) and obesity (BMI ≥ 30 kg/m 2 ), 7 country of origin (Spanish, foreign), educational level (primary, secondary, higher), employed (yes, no), previous births (yes, no), gestational diabetes was defined as women with diabetes onset during pregnancy, 8 preeclampsia was defined as women with hypertension onset during pregnancy, 9 type of onset of labour (induction, spontaneous, elective caesarean section), type of delivery (spontaneous vaginal birth, instrumental, caesarean section).The variable of GA of the newborn was categorised as premature (<37 GA), term (37---41.6GA) and post-term (≥42 GA). 10 The weight of the neonate was classified as underweight (<2500 g), normal weight (2500---3999 g) and macrosome (≥4000 g).

Data collection
The data was obtained, retrospectively, from the hospital's computerised medical record system.In February 2017, the hospital information area carried out an automated and anonymised extraction of all the records of women with labour assisted during the two years of study, and the data was downloaded in an ''Excel'' spreadsheet to which only the research team had access.

Statistical analysis
Descriptive data are presented as number and percentage, and the mean and standard deviation (SD).
Bivariate analysis was performed between the sociodemographic variables and the pre-pregnancy BMI.For the comparison of the categorical variables, Chi-Square test was used.To compare quantitative variables, variance analysis (ANOVA) was performed.
Adjusted multinomial logistic regression was performed with the objective of identifying the socio-demographic and obstetric factors related to the pre-pregnancy BMI, where BMI was assumed a nominal variable taking the normal weight category as the reference group of women.Logistic regression models were performed to evaluate the perinatal and maternal results related to pre-pregnancy BMI of pregnant women.Adjusted Odds Ratio (OR) and 95% confidence intervals (95% CI) were calculated for each model.All statistical tests were bilateral and p values <0.05 were considered significant Descriptive analyses were carried out with the statistical package IBM SPSS version 25 ® , and multivariate analyses were performed with the statistical package SAS version 9.4 ® (SAS Institute, Cary, NC, USA).

Ethical considerations
Authorisation was obtained from the Ethics and Clinical Research Committee of the Clinic Hospital of Barcelona, Code: HCB/2017/0309.At all times the anonymity and confidentiality of the data were preserved in accordance with the Spanish Organic Law 3/2018, of December 5, about Protection of Personal Data and guarantee of digital rights.The informed consent was exempt because the data were obtained from medical records.

Results
A sample of 6236 women who were assisted at delivery was obtained.Of these, 348 women with multiple births, 25 with delivery before 23 GA, and 416 women in whom the prepregnancy BMI did not appear in the computerised medical record were excluded.Finally, the data of 5447 pregnant women (87.3%) were analysed (Fig. 1).
Table 1 shows the socio-demographic and obstetric characteristics and their relationship with the pre-pregnancy weight status of the pregnant women included in the study.Table 2 shows the results of multinomial logistic regression between the socio-demographic and obstetric characteristics and pre-pregnancy BMI.
It was found that there was relationship between maternal age, country of origin, educational level, employment status, and having previous births, with women's prepregnancy BMI.
Pregnant women with a lower mean age were more frequently underweight.Foreign women had more frequently overweight compared to women of Spanish origin.Women with a secondary or higher education presented less frequently pre-pregnancy overweight and obese than pregnant  women with a primary education.Overweight or obese were also less frequent among employed women.Finally, women who had had previous births more frequently started pregnancy with pre-pregnancy overweight or obesity than nulliparous women (Table 2).
Regarding the relationship between BMI with maternal complications, gestational diabetes and preeclampsia during pregnancy were more frequent among women with pre-pregnancy overweight and obesity (Table 3).
Regarding labour outcomes, it was observed that women with pre-pregnancy overweight and obesity started labour, more frequently, by induction or by elective caesarean section (Table 4).
Concerning the perinatal outcomes, the prevalence of premature new-borns was higher in women with prepregnancy overweight and obesity.Concerning neonate weight, the new-borns of women with pre-pregnancy overweight more frequently presented macrosomia, while in  women with pre-pregnancy obesity neonates were more frequently underweight or presented macrosomia (Table 5).

Discussion
This exploratory study shows that the prevalence of women with pre-pregnancy overweight was 18.9% and with prepregnancy obesity was 8.4%, that is, that 27.3% of the women in this study had an inadequate BMI to start the pregnancy.
In concordance with previous studies, was observed that foreign women, unemployed women, or with lower educational level had more odds to present pre-pregnancy overweight and obesity.Moreover, perinatal complications were more frequent in women with a BMI > 25 kg/m 2 . 11ur prevalence of pre-pregnancy overweight of 18.9% and 8.4% of pre-pregnancy obesity were lower than the prevalence reported in other Spanish studies. 12---14Likewise, our prevalence of pre-pregnancy obesity was 8.4%, which was lower than the 9.6% of 301 women studied in Aragón, 12 the 17.1% of 6558 women in Canary Islands 13 and the 13.3% of 16 609 women in Basque Country. 14egarding the prevalence of overweight in other European countries, the value in the present study was like that reported in Croatia (19%). 3However, these values are much lower than those reported in Northern Ireland (29.8%). 3revalence of 8.4% of pre-pregnancy obesity in our study was higher than in Croatia (7.8%) but lower than the United Kingdom (20.4---25.6%). 3ike other studies, socio-demographic and obstetric factors were related with the pre-pregnancy BMI of women. 5,15n Spain, the BMI of adult Spanish women generally increases with age. 12,13In this study, foreign women presented more frequently pre-pregnancy overweight compared to Spanish women. 16In addition, women with a lower education level, or who were unemployed or who had had previous births were more frequently overweight and obese prepregnancy. 5,15egarding data on pregnancy complications, gestational diabetes and preeclampsia were more frequent among women with pre-pregnancy overweight or obesity as in the exploratory study of Yang 17 and in the cohort study of Schummers. 18egarding labour outcomes, it was observed that the probability of induction increased with an increase in prepregnancy BMI, reaching an OR of 1.94 in women with pre-pregnancy obesity, like what has been described in previous studies. 19,20n this study, the percentage of women with prepregnancy obesity who underwent caesarean section (43.9%) was higher than that in a retrospective cohort study conducted in Canary Islands (18.7%), 13 in a historical cohort study in Basque Country (25.7%) 14 and with a descriptive study conducted in Castilla-La Mancha (34.9%). 21n line with the results of a meta-analysis by Dai et al., in 2018, maternal pre-pregnancy overweight and obesity in our study increased the probability of macrosomia in the newborn 22 ; and the macrosomia increases the intrapartum complications and neonatal sequelae. 23As in the study by Kim et al., in 2017, prematurity being more frequent in women with pre-pregnancy overweight and obesity. 24The high rate of prematurity observed in our women could have increased the rates of underweight in our newborns, particularly in obese women who increased the probability of having an underweight neonate with an OR of 2.
Therefore, the identification of women with excess weight prior to conception should be implemented, and care should be adapted to the individual characteristics of women to improve maternal and perinatal outcomes.In addition, sensitive and proactive care must be provided, recognising and reporting possible risks to women, with counselling about diet and physical activity to facilitate an adequate weight before and during pregnancy seeking well-being in women. 25Thus, midwives and obstetricians should implement actions promoting health, 26 these include diet and physical activity to achieve optimal health conditions during pregnancy. 2,27t present, there is not much data available about pre-pregnancy overweight and obesity and its relation to maternal outcomes in Spain.The study has been carried out in a hospital that attends high obstetric complexity in Barcelona, a city that has a diverse cultural population.
To our knowledge, this is the largest study to describe prevalence in a Mediterranean city in Spain providing prepregnancy weight status of 5447 women and allowing comparison with other studies at an international level.
However, this study did not get data of 416 women (12.7% of the sample) in whom the pre-pregnancy BMI was not available in the electronic clinical records.In addition, although gestational weight gain is an independent factor that can influence maternal and perinatal outcomes, we were not able to provide this gain, because this variable was not always available, in the electronic clinical records, so caused heterogeneity of the hospital registry at the end of pregnancy. 28Therefore, we suggest improving the quality of our hospital records, and obstetricians and midwives should report data on pregnant women's weight gain. 29ince this was a descriptive study, a relationship was observed between socio-demographic and obstetric factors and the presentation of a high BMI, so the causal inference is limited.Indeed, studies on the multifactorial origin of obesity involve a prospective cohort design that allows controlling for other variables that may influence the results such as lifestyle, culture, or religion.
This results provide knowledge about the prevalence of women with pre-pregnancy overweight and obesity in a high maternity complexity hospital of Barcelona (Spain), and that this prevalence was lower than majority of countries on Europe.
This study shows the relationship between some sociodemographic factors with begin the pregnancy with an inadequate BMI, and the relationship between prepregnancy overweight or obesity with adverse maternal and perinatal outcomes.

Figure 1
Figure 1 Study flow chart.GA: gestational age; BMI: body mass index.

Table 1
Socio-demographic and obstetric characteristics and relationship with the pre-pregnancy weight status of pregnant women.

Table 2
Results of multinomial logistic regression between the socio-demographic and obstetric characteristics and prepregnancy BMI.

Table 3
Relationship between the pre-pregnancy weight status of pregnant women and the prevalence of gestational diabetes and preeclampsia.

Table 4
Relationship between pre-pregnancy weight status of pregnant women and labour outcomes.

Table 5
Relationship between pre-pregnancy weight status of pregnant women and perinatal outcomes.