Abstract

Background:

This study aimed to evaluate the effect of raising awareness of obesity-related complications through a brochure among pregnant women with obesity and overweight to promote healthy lifestyle behaviors and improve maternal and fetal health.

Methods:

A prospective longitudinal study was conducted from November 2021 to November 2023 at three health centers in Marrakech, Morocco. A total of 100 women with obesity and overweight were followed up throughout their 9 months of pregnancy. They were divided randomly into two groups: an intervention group (50 participants) that received advice from the brochure and a control group (50 participants). The brochure provided guidance on gestational weight gain, maternal obesity risks and six tips for healthy pregnancy. The gestational weight gain (GWG) and pregnancy outcomes were evaluated in every trimester.

Results:

The intervention group showed a reduction in GWG compared with the control group; however, this difference was not statistically significant (p = 0.075). Regarding lifestyle behaviors during pregnancy, no significant differences were observed between the two groups, except for snacking and the number of meals, both of which showed a statistically significant increase in the control group during the third trimester (p < 0.05). The pregnancy and neonatal outcomes were comparable in both groups, and the intervention had no major impact on these outcomes.

Conclusion:

This interventional study aimed to raise awareness about the risks of maternal obesity through a brochure that helped women control their weight during pregnancy. However, it did not significantly affect pregnancy outcomes or lifestyle behaviors such as dietary habits and physical activity.

1. Introduction

Obesity has emerged as a significant public health challenge faced by healthcare providers worldwide. The World Health Organization is deeply concerned about the escalating prevalence of overweight and obesity. Recent estimates from the United States indicate that 39.6% of American adults are classified as obese [1], and similar trends have been observed in various European countries. Data on the prevalence of overweight and obesity among adults from 20 European countries revealed the highest rates in Slovenia (20.8%), Estonia (19.7%), and the United Kingdom (19.2%) [2].

Africa is also grappling with the growing issue of overweight and obesity. Between 1993 and 2004, the prevalence of obesity among women of reproductive age doubled or tripled in 12 African countries [3]. North African countries, particularly Egypt, exhibited high obesity rates, reaching 48.2% [4]. In Morocco, obesity is three times more prevalent in women (29%) compared with men (11.0%) [5].

Obesity in pregnant women is a common obstetric risk factor leading to several complications in mothers and infants. Women with overweight and obesity face antenatal risks such as gestational diabetes [6], hypertension, and preeclampsia [7]. A high pre-pregnancy body mass index (BMI) is associated with peripartum complications, including cesarean delivery and hemorrhage. Additionally, overweight and obesity are strong predictors of postpartum morbidity. The offspring of women with obesity are at an increased risk of being macrocosmic [8] and large for their gestational age at birth. Furthermore, maternal obesity can raise the risk of the offspring developing metabolic and cardiovascular diseases later in life [9]. Certain types of congenital disabilities, like spina bifida, are more likely in the offspring of mothers with obesity [10, 11]. Maternal obesity can increase the risk of childhood obesity [12].

Therefore, pregnant women must monitor their gestational weight gain (GWG) to ensure it is within the recommended range. The Institute of Medicine (IOM) recommends that healthy women gain between 11.5 kg and 16 kg during pregnancy. In contrast, women with obesity or overweight should gain between 5 kg and 9 kg, and women who are underweight should gain between 12.5 kg and 18 kg [13].

Despite the increasing attention given to maternal obesity, there are limited studies on women with obesity and overweight to investigate the effectiveness of lifestyle interventions aimed at controlling GWG and improving pregnancy outcomes. Existing evidence suggests that interventions focused on dietary habits and physical activity may positively reduce the incidence of pregnancy complications such as gestational diabetes [14, 15]. However, the outcomes of such interventions in women with obesity and overweight vary, with some studies showing limited success in improving pregnancy outcomes and reducing GWG [16, 17].

In Moroccan society, the issue of obesity is compounded by its perception among women as a symbol of beauty and well-being. We observed a lack of awareness among pregnant women regarding the risks associated with maternal obesity. Accordingly, our objective was to investigate the effects of an awareness-raising intervention through a brochure on the risks of maternal obesity. We also aimed to encourage positive behavioral changes among women with obesity and overweight, including improved dietary habits, increased physical activity, and better weight management during pregnancy. The ultimate goal was to enhance the overall maternal and fetal health outcomes.

2. Methods
2.1 Study Design and Participants

This study was conducted in three highly populated health centers in Marrakech between November 2021 and November 2023. Eligible participants included women with obesity and overweight (BMI >24.9 kg/m2), aged 18 years or older, and receiving prenatal care. Recruitment occurred before 16 weeks of gestation and each participant provided oral consent to participate. The exclusion criteria were the presence of chronic medical disorders, twin pregnancies, late prenatal consultation (after 16 weeks of gestation), and refusal to participate (2 women).

Using the G-power software (ver. 3.1.9.4; Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany), we determined that we needed to recruit at least 39 participants in each group to achieve a statistical power of 70% (one-sided α = 0.05) with an effect size of 0.5 between the two groups. To account for potential dropouts, we decided to recruit 50 participants in each group.

Eligible women were randomly assigned to the control group, which received routine prenatal care, or the intervention group, which received a specially designed brochure during their first prenatal care visit this was done through a simple randomization process. The brochure provided information about the IOM guidelines for GWG, risks associated with maternal obesity, six principal tips, and graphs to help women maintain a healthy pregnancy. We explained these tips in Moroccan Arabic to ensure the women perfectly understood them.

The tips were as follows:

1. Avoid overeating.

2. Maintain a balanced diet rich in essential nutrients.

3. Engage in regular, moderate exercise.

4. Stay hydrated by drinking plenty of water.

5. Manage stress levels.

6. Ensure quality sleep by aiming for 7–8 hours per night.

2.2 Data Collection Procedures

The intervention and control groups were followed up in the first trimester until delivery. Data on sociodemographic characteristics and pregnancy lifestyle, such as dietary habits and physical activity, were obtained through face-to-face interviews during pregnancy. Pre-pregnancy weight was self-reported, and height was measured at the first visit. To compare all variables within the same week, GWG and pregnancy lifestyle parameters were assessed on weeks 14, 25, and 37. The total GWG was evaluated according to the IOM recommendations. Maternal outcomes evaluated included anemia, gestational hypertension, gestational diabetes, and delivery mode. Neonatal outcomes, including birth weight, macrosomia, and admission to the neonatal intensive care unit (NICU), were obtained after birth through telephone calls or birth records.

2.3 Statistical Analysis

Descriptive statistics were used to characterize the sample. Quantitative variables are expressed as means ± standard deviation (SD) if normally distributed, and as median (Q1, Q3) if non-normally distributed (where SD exceeded half of the mean). Qualitative variables are presented as numbers and percentages. The Mann-Whitney U test was used for group comparisons of non-normally distributed variables. Baseline characteristics were compared using t-tests for continuous variables and Chi-square tests for categorical variables, with Fisher’s exact test applied when cell counts were <5. A p-value of <0.05 was considered statistically significant.

All statistical analyses were performed using the Statistical Package for Social Sciences (SPSS) version 26 (IBM Corp., Armonk, NY, USA).

3. Results

The baseline characteristics of the intervention and control groups are shown in Table 1. The intervention group had a significantly higher BMI, indicating a higher proportion of women with obesity (p < 0.05). No significant differences were observed between the groups for any other variables.

Table 1. Characteristics of study participants.
Characteristic Intervention group Control group p value
(N = 50) (N = 50)
Maternal age (years) 31 ± 6 30 ± 6 0.407
Gravidity
1 10 (20.0%) 13 (26.0%) 0.476
2 40 (80.0%) 37 (74.0%)
Education level
Illiterate 2 (4.0%) 7 (14.0%)
Primary school 21 (42.0%) 18 (36.0%) 0.358
Secondary 24 (48.0%) 23 (46.0%)
University 3 (6.0%) 2 (4.0%)
BMI before pregnancy (kg/m2) 32.47 ± 3.68 30.36 ± 5.83 0.036*
Overweight (25 BMI < 30) 13 (26.0%) 22 (44.0%) 0.059
Obesity (BMI 30) 37 (74.0%) 28 (56.0%)

BMI, body mass index; *Significant (p < 0.05).

Table 2 shows an increase in vitamin use in both groups between the first and third trimesters, but without statistical significance (p = 0.542, p = 0.424). Similar changes in dietary habits and snacking were observed between the two groups, with no statistically significant differences in dietary habits (p > 0.05). However, snacking in the third trimester showed a statistically significant difference, with the control group reporting a slight increase (p < 0.05). Additionally, the number of meals increased slightly in the control group during the third trimester, and this difference was statistically significant. Sports practice was comparable between the two groups in the first trimester (p = 0.204) but increased in the intervention group during the third trimester. However, this difference was not statistically significant (p > 0.05).

Table 2. Lifestyle behaviors during pregnancy of groups.
Variables Intervention group Control group p value
(N = 50) (N = 50)
Vitamin use
First trimester
Yes 28 (56.0%) 31 (62.0%) 0.542
No 22 (44.0%) 19 (38.0%)
Third trimester
Yes 40 (80.0%) 43 (86.0%) 0.424
No 10 (20.0%) 7 (14.0%)
Change dietary habits
First trimester
Yes 27 (54.0%) 30 (60.0%) 0.545
No 23 (46.0%) 20 (40.0%)
Third trimester
Yes 13 (26.0%) 20 (60.0%)
No 37 (74.0%) 30 (40.0%) 0.137
Snacking
First trimester
Yes 8 (16.0%) 12 (24.0%) 0.317
No 42 (84.0%) 38 (76.0%)
Third trimester
Yes 5 (10.0%) 17 (34.0%)
No 45 (90.0%) 33 (66.0%) 0.004*
Number of meals
First trimester
1 3 (6.0%) 0 (0.0%)
2 18 (36.0%) 0 (0.0%)
3 25 (50.0%) 45 (90.0%) 0.350
4 4 (8.0%) 5 (10.0%)
Third trimester
1 0 (0.0%) 0 (0.0%)
2 8 (16.0%) 0 (0.0%)
3 40 (80.0%) 44 (88.0%) 0.006*
4 2 (4.0%) 6 (12.0%)
Practicing sports
First trimester
Yes 5 (10.0%) 1 (2.0%) 0.204
No 45 (90.0%) 49 (98.0%)
Third trimester 0.160
Yes 15 (30.0%) 9 (18.0%)
No 35 (70.0%) 41 (82.0%)

*Significant (p < 0.05).

GWG, obstetric and neonatal outcomes are presented in Table 3. The intervention affected GWG, with the intervention group showing a lower median (range) GWG compared to the control group, although the difference was not statistically significant (p = 0.075).

Table 3. GWG, obstetric, and neonatal outcomes.
Variables Intervention group Control group p value
(N = 50) (N = 50)
GWG (kg) 6.0 (3.0–8.5) 7.0 (3.75–12.0) 0.075
Gestational weeks
37 and <42 49 (98.0%) 49 (98.0%) 1.000
42 1 (2.0%) 1 (2.0%)
Gestational diabetes N (%)
First trimester
Yes 7 (14.0%) 13 (26.0%)
No 43 (86.0%) 37 (74.0%) 0.134
Third trimester
Yes 6 (12.0%) 9 (18.0%)
No 44 (88.0%) 41 (82.0%) 0.401
Gestational Hypertension N (%)
First trimester
Yes 2 (4.0%) 0 (0.0%)
No 48 (96.0%) 50 (100.0%) 0.475
Third trimester
Yes 9 (18.0%) 5 (10.0%)
No 41 (82.0%) 45 (90.0%) 0.249
Anemia N (%)
First trimester
Yes 5 (10.0%) 2 (4.0%) 0.433
No 45 (90.0%) 48 (96.0%)
Third trimester
Yes 1 (2.0%) 2 (4.0%) 1.000
No 49 (98.0%) 48 (96.0%)
Mode delivery N (%)
Vaginal delivery 35 (70.0%) 30 (60.0%) 0.295
Cesarean section 15 (30.0%) 20 (40.0%)
Birth weight (kg) 3.464 ± 0.560 3.358 ± 0.490 0.316
Birth weight >4000 g 7 (14.0%) 6 (12.0%) 0.766
Admission to NICU N (%)
Yes 2 (4.0%) 1 (2.0%) 1.000
No 48 (96.0%) 49 (98.0%)

GWG, gestational weight gain; NICU, neonatal intensive care unit.

The incidence of gestational diabetes, hypertension, anemia, mode of delivery and the distribution of gestational weeks was comparable between the two groups without statistical differences (p > 0.05).

Although birth weight was slightly higher in the intervention group, resulting in more children with macrosomia, the difference was not statistically significant (p > 0.05).

Admission to the NICU was comparable between the two groups and was not statistically significant (p > 0.05).

4. Discussion

Few studies have evaluated the effects of lifestyle interventions on GWG and pregnancy outcomes, and even fewer have focused on mothers with overweight or obesity. To the best of our knowledge, this is the first longitudinal study in Morocco to detect the effects of raising awareness among pregnant women with overweight or obesity regarding the risks associated with maternal obesity. The goal was to encourage participants to maintain their weight within the recommended range through a balanced diet and regular physical activity by increasing their knowledge, understanding, and consciousness of these risks.

This intervention did not significantly affect lifestyle behaviors during pregnancy in either group, except for the number of meals and snacking. Additionally, we noticed that the intervention group became slightly more active in the third trimester than in the first trimester, emphasizing the importance of physical activity during pregnancy in the brochure. However, the difference remained statistically insignificant; most participants maintained a sedentary lifestyle.

Several studies exploring the effects of lifestyle interventions on nutrition and physical activity in pregnant women have yielded inconsistent findings [16, 18]. For instance, one study involving women with overweight and obesity found that lifestyle interventions based on a brochure and active education were effective in improving nutritional habits but did not significantly impact physical activity or GWG [16]. Conversely, another study that implemented community-based group exercise sessions, home exercise instructions, and dietary counseling demonstrated increased physical activity, improved dietary habits, and reduced excessive GWG in pregnant women living in an urban setting [18].

In our study, GWG decreased in the intervention group, although this reduction was not statistically significant. This trend is consistent with findings from a meta-analysis that reported a successful reduction in GWG by modulating diet and physical activity during pregnancy [19]. In contrast, recent studies have found no effect on GWG [20, 21, 22].

The Pregnancy and neonatal outcomes were comparable in both groups, and the intervention had no major impact on these outcomes. These findings align with previous studies [21, 23, 24, 25].

Our findings have significant implications for primary care physicians involved in the care of women with obesity or overweight. Promoting awareness of maternal obesity risks and healthy lifestyle behaviors during pregnancy does not substantially improve physical activity levels or overall lifestyle patterns. However, it remains imperative for physicians to guide patients in prioritizing the maintenance of a healthy prenatal BMI, which is crucial for mitigating obstetric complications and enhancing maternal and neonatal health outcomes. Moreover, our study underscores the challenge of implementing effective lifestyle interventions in this population, prompting the consideration of innovative strategies such as personalized dietary counseling and supervised exercise programs. These findings highlight the complexity of addressing lifestyle behaviors in this population and emphasize the necessity for tailored and multidisciplinary interventions, underscoring the pivotal role of primary care physicians in supporting these women throughout pregnancy.

Strengths and Limitations

The strength of this study lies in its longitudinal design, which allowed us to assess the GWG and pregnancy outcomes across trimesters. Furthermore, the data were prospectively collected using validated self-reported questionnaires to ensure the reliability and validity of the results. These methodological strengths provided a robust foundation for the study’s conclusions, increasing confidence in the reliability of the findings.

This study has some limitations. First, the limited sample size might have hindered the ability to detect significant differences. Second, the intervention consisted of providing advice through a brochure, which might not have been sufficient to induce meaningful changes in lifestyle behaviors or pregnancy outcomes. Third, the reliance on self-reported data to assess pre-pregnancy weight and neonatal outcomes might have limited the effectiveness and accuracy of the findings.

5. Conclusion

Our research intervention led to a reduction in GWG in the intervention group; however, this reduction was not statistically significant. The intervention did show a significant effect on snacking habits and the number of meals but was otherwise ineffective in changing other lifestyle behaviors or improving pregnancy and neonatal outcomes.

Although the sample size was small, these findings suggest that while interventions during pregnancy can have some benefits, they may not be sufficient for achieving comprehensive lifestyle changes. Therefore, there is a need to emphasize pre-pregnancy interventions to promote dietary and lifestyle changes more effectively before conception. Further research with a larger study population is still required to evaluate these interventions and to assess their short and long-term effects.

Abbreviations

BMI, body mass index; GWG, gestational weight gain; NCIU, neonatal intensive care unit.

Availability of Data and Materials

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Author Contributions

SL, ML and SS designed the research study, SS performed the research and analyzed the data. All authors contributed to editorial changes in the manuscript. All authors read and approved the final manuscript. All authors have participated sufficiently in the work and agreed to be accountable for all aspects of the work.

Ethics Approval and Consent to Participate

The study was approved by the regional delegation of the Moroccan Ministry of Health (Approval number 4269 delivered on 02 June 2021). Oral consent was obtained from participants after being informed about the study objectives with assurance of the anonymity and confidentiality of the women’s responses. Although the study does not involve clinical interventions or medical procedures, it was conducted in accordance with the ethical principles of the Declaration of Helsinki.

Acknowledgment

We want to thank all the participants in this study for their valuable contributions. We are also very grateful for the cooperation and support of the local health centers staff.

Funding

This research received no external funding.

Conflict of Interest

The authors declare no conflict of interest.

References

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