Literature DB >> 31887126

The delay of motherhood: Reasons, determinants, time used to achieve pregnancy, and maternal anxiety level.

Leticia Molina-García1, Manuel Hidalgo-Ruiz2, Eva María Cocera-Ruíz3, Esther Conde-Puertas3, Miguel Delgado-Rodríguez4,5, Juan Miguel Martínez-Galiano5,6.   

Abstract

BACKGROUND: Fertility in recent decades in European countries such as Norway, Spain or United Kingdom has declined, while in others such as Portugal, it has remained relatively constant, and in others such as Germany fertility rated have risen. The determinants of this change in reproductive pattern can be explained by the cultural, social, and economic changes that took place in our society. Objective: to identify the principal reasons and independent determinants associated with the postponement of motherhood and document any association between the time taken to achieve successful pregnancy and maternal age, as well as the level of anxiety of these women.
METHODS: An observational study, including 326 women, was conducted in Spain with primiparous women, in which data was collected on sociodemographic, health, and pregnancy-related factors. Comparison of means (t-test or analysis of variance) and the analysis of covariance was used to estimate adjusted means for potential confounders.
RESULTS: Women in stable relationships became mothers at older ages (31.83±0.29) than those who were not (28.75±0.78) (p<0.001). Women who delayed motherhood for medical reasons had a mean age of 34.15 ± 0.88 years, compared to a mean of 30.52±0.36 years for personal reasons, and 27.51±1.39 years for other reasons. Mothers with an older age had a higher level of anxiety (p<0.05). The average time required to achieve pregnancy increased as maternal age increased, with an average time of 24 months for women with a mean age of 35.23±0.71 years compared to <3 months for women with a mean age of 29.44±0.39 years. Women ≥ 35 years were more likely to need medical assistance to achieve pregnancy (aOR = 12.07, 95% CI: 1.50-97.05; p = 0.019).
CONCLUSIONS: Medical reasons were among those cited for delaying motherhood. The postponement of motherhood was associated with difficulty to achieve a successful pregnancy and a higher level of anxiety.

Entities:  

Mesh:

Year:  2019        PMID: 31887126      PMCID: PMC6936780          DOI: 10.1371/journal.pone.0227063

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Fertility in recent decades in European countries such as Italy, Norway, Spain or United Kingdom has declined, while in others such as Portugal, it has remained relatively constant, and in others such as Germany or Lithuania fertility rated have risen [1]. The determinants of this change in reproductive pattern can be explained by the cultural, social, and economic changes that took place in our society, especially in the last third of the 20th century [2]. At present, there is no consensus for the appropriate age to achieve pregnancy. Some authors establish this age at 35 years [3-5], whereas others place it at 40 or even 44 years [2]. There is a definite increase in the number of women bearing children in the 30- and 40-year-old age groups. The total number of women who are 35 to 40 years in the United States is projected to increase 42%, and the percentage of births in this age group is projected to increase 37% [6]. Pregnancies in women with advanced age have increased in recent years. For example, in Spain in 2013, 27,875 births for women 40 years or older were recorded, which represented 6.7% of all births in Spain; and this percentage is increasing, with pregnancies in women 40 years and over accounting for 7.4% of all births in 2017. This situation is not unique to Spain, and pregnancy at an advanced age is also increasing in countries such as Japan, United Kingdom, Australia, and Chile, among others [7]. Pregnancy at an advanced maternal age is known to have consequences for maternal heathl and neonatal health [8,9]. One of the consequences that appears linked to late motherhood has to do with the biological limits of fertility such as the increase in infertility, miscarriage, and the use of assisted reproduction techniques [10-14]. The reasons that lead a woman to postpone the decision to be a mother have been explored by different studies [15-19]. Women plan to be mothers at a certain point in their life. For example, after obtaining work or training goals, and may delay the process over time in favor of economic, academic and professional stability [15-19]. In a 2018 National Fertility Survey of 14,446 women in Spain, it was found that 26.15% women over 35 who had not had children had delayed childbearing because they did not have a stable relationship, 3.25% because she was too young to be a mother, 13.27% had not wanted to be a mother, 3.08% had to continue studying, 17.94% for work reasons and reconciling family and work life, 10.56% for economic reasons, 17.57% for health reasons, and 8.18% for other reasons [15]. As mentioned above, other aspects of delayed maternity are the increase in time spent to successfully achieve pregnancy [13,20] and having to resort to assisted reproduction techniques [15,21-23]. In a population-based birth cohort study carried out with 4333 pregnant women in the urban area of Pelotas in Southern Brazil, mothers who used assisted reproductive technology were compared to mothers with spontaneous pregnancy; in general, women who required assisted reproductive technology were older than those with a spontaneous pregnancy [23]. Motherhood at an advanced age can lead to a higher level of anxiety during pregnancy and childbirth. Perinatal anxiety is highly prevalent and merits clinical attention. [24] Maternal anxiety has been associated with consequences for the health of the mother and the baby [25, 26]. The effect of maternal age on the level of anxiety is not clear in studies to date [26, 27]. The delay of motherhood has consequences for the mother and the newborn. The number of women who give birth at an older age is increasing. In order to confirm this trend, and thus be able to design adequate health policies aimed at prevention with the design of health programs in which these variables are taken into account in order to guarantee the best assistance to women, the following objectives were proposed: identify the main reasons reported by the women and independent determinants (objective factors) associated with the postponement of motherhood, as well as document whether there is an association between maternal age and the time taken to achieve successful pregnancy or the need for medical assistance, as well as the influence of maternal age on the level of anxiety.

Materials and methods

An analytic observational study was conducted on pregnant women who gave birth during 2017 (from January to December) simultaneously in different hospitals in South Spain. The inclusion criteria were: primiparous pregnant women, with a singleton pregnancy, and who were not minors (>18 years). Women that had difficulty communicating in Spanish (language barrier) and women whose pregnancy was unplanned were excluded.

Ethics approval and consent to participate

Ethical approval was obtained from the Ethics Committees of the hospitals participating in the study: Comité de Ética de la Investigación del Complejo Hospitalario Universitario de Granada (Committee of Ethics of Investigation of the Complejo Hospitalario Universitario de Granada), Comité de Ética de la Investigación del Hospital Reina Sofia de Córdoba (the Committee of Ethics of Investigation of the Reina Sofia Hospital), Comité de Ética de la Investigación del Complejo Hospitalario Universitario de Jaén; (the Committee of Ethics of Investigation of the Complejo Hospitalario Universitario de Jaén), Comité de Ética de la Investigación del Hospital de Úbeda (the Committee of Ethics of Investigation of the Ubeda Hospital) and Comité de Ética de la Investigación del Hospital de Linares (the Committee of Ethics of Investigation of the Linares Hospital). The informed consent was verbally obtained because no interventions were performed on the study. It was to answer a survey’s questions. It was more pragmatic to obtain a verbal consent. In order to obtain the verbal consent of the woman, first of all she was informed of the study, the objective of this. what was your participation (answer an interview), risks and the willingness of your participation. The woman raised the possible doubts that arose to solve them. If the woman verbally accepted it was included in the study. The different Ethics Committes authorized and were aware about verbally consent use on the study. Informed consent was obtained from the women, and the established protocols for the respective health centers were followed for access to medical records data and to conduct this type of study; with the objective to publish/disseminate the results to the scientific community. The results of this study are part of a larger study. The principal outcome of the larger study was the appearance of pregnancy-associated pathology. The sample size was based on the study by Heras Pérez et al. in 2011 [2], in which the incidence of pregnancy-associated pathology in women older than 35 years was 29.2% compared with 15.8% in women 35 years or younger. To detect a difference between these figures (29.2% and 15.8%) with a power of 80% and a statistical significance of 5%, it was estimated that a sample size of 302 women would be needed. Considering an expected drop-out rate of 15%, a final total of 373 women were recruited. Women were selected consecutively. Only 13 women refused to participate.

Data collection

Data were collected using a questionnaire which had previously been piloted. The questionnaire (closed and open items) was heteroadministered by qualified personnel (midwives) with knowledge of pregnancy, childbirth, and the puerperium, in the immediate postpartum period via an interview by the midwives who collaborated in the study. The majority of the data were obtained through the clinical interview conducted by a health professional following childbirth; the data were then completed with access to the clinical history and the pregnancy health document. Data were collected on the sociodemographic variables of the pregnant women, as well as on variables related to obstetric antecedents, the current pregnancy, and main reason women delayed motherhood. To assess the level of maternal anxiety, the Spanish version of the Hospital Anxiety and Depression Scale (HADS), developed by Zigmond and Snaith (1983) was used [28]. Of the 14 items that make up the scale, 7 assess anxiety and the rest evaluate depression: Only those items that assess the level of anxiety were chosen and applied. This modified scale had already previously been used in women of the same sociodemographic characteristics as those in the study. [29]

Data analysis

Continuous variables were assessed by comparison of means, t-test, or analysis of variance. The analysis of covariance was used to estimate adjusted means for potential confounders. For categorical variables, odds ratios (OR) and their 95% confidence intervals (95% CI) were calculated using logistic regression to adjust for confounding. Confounders were considered those variables which were non-intermediate variables and changed the coefficient of the main exposure (maternal age) by more than 10% in multivariate models. All analyses were performed using Stata 14 (College Station, TX).

Results

A total of 326 women participated in the study. The mean age of participating women was 31.13 ± 5.37 years. Almost all, 99.1% (323), were Spanish, and 68.4% (223) were married. The mean income of 42.4% (122) was between 1000–1999 Euros per month. Women with university education made up 40.2% (131) of the women participating in the study and around 72.7% (237) worked during pregnancy. A previous history of miscarriage was reported in 24.5% (80), and 12.3% (40) had some type of pathology prior to pregnancy. 14.1% (46) required medical assistance to achieve pregnancy: 34.8% (16) required in vitro fertilization, 21.7% (10) artificial insemination, 17.4% (8) the prescription of some type of medication, 15.2% (7) intracytoplasmic sperm injection, 8.7% (4) oocyte donation, and 2.2% (1) sperm donation (Table 1).
Table 1

Characteristics of the study population.

Variable
Mean age (SD)31.13 (5.37)
Civil status, n (%)
Single71 (21.8)
Married223 (68.4)
Defacto relationship29 (8.9)
Divorced3 (0.9)
Nationality
Spanish, n (%)323 (99.1)
Other3 (0.9)
Education level, n (%)
No education6 (1.8)
Primary22 (6.8)
Secondary84 (25.7)
Upper secondary*83 (25.5)
University131 (40.2)
Income, n (%)
< 1000 Euros72 (25.0)
1000–1999 Euros122 (42.4)
2000–2999 Euros64 (22.2)
≥ 3000 Euros30 (10.4)
Employed during pregnancy, n (%)
No89 (27.3)
Yes237 (72.7)
Illness, n (%)
No286 (87.7)
Yes40 (12.3)
Previous miscarriages, n (%)
No246 (75.5)
Yes80 (24.5)
Attended antenatal education, n (%)
No132 (40.5)
Yes194 (59.5)
Pregnancy follow-up, n (%)
Public system150 (46.0)
Private system6 (1.8)
In both170 (52.2)
Medical assistance to achieve pregnancy, n (%)
No280 (85.9)
Yes46 (14.1)
Gestation at birth, mean (SD)39.43 (1.41)

* Baccalaureate (equivalent of A levels)/Professional formation. Abbreviations: n, number; SD, standard deviation

* Baccalaureate (equivalent of A levels)/Professional formation. Abbreviations: n, number; SD, standard deviation Table 2 shows the association between maternal age and different sociodemographic variables. Women who had a partner became mothers at later ages (31.83 ± 0.29) than those who did not (28.75 ± 0.78) (p <0.001). In the same way, those with university studies were older (33.24 ± 0.38) compared to those with a lower level of education (p < 0.001). Unemployed women became mothers at a younger age (27.54 ± 0.58) than women who have any type of employment contract (p < 0.001). The increase in the level of monthly income was proportionally related to the increase in the maternal age at which the first child was born. Women with incomes lower than 1000 euros became mothers with a mean age of 28.06 ± 0.68 years, compared to 33.55 ± 0.79 years for those earning more than 3000 euros per month (p < 0.001).
Table 2

Association between maternal age and different sociodemographic variables.

VariableTotal nAge m ± SEMp-value
Marital status: Partner< 0.001
No7428.75 ± 0.78
Yes25231.83 ± 0.29
Level of education< 0.001
Primary2830.73 ± 1.44
Secondary16729.56 ± 0.39
University13133.24 ± 0.38
Monthly household income< 0.001
< 1000 Euros7228.06 ± 0.68
1000–1999 Euros12231.49 ± 0.45
2000–2999 Euros6432.22 ± 0.48
≥ 3000 Euros3033.55 ± 0.79
Employment type< 0.001
Unemployed8427.54 ± 0.58
Temporary contract5830.29 ± 0.61
Indefinite contract12432.70 ± 0.40
Own business/self-employed3833.08 ± 0.86
Other2134.57 ± 0.94

Abbreviations: m, mean; SEM, standard error of mean.

Abbreviations: m, mean; SEM, standard error of mean. Table 3 shows the main reasons cited by women for delaying childbearing. In the crude analysis, differences were found between the reasons given for the delay of maternity; for example, mothers who argued medical reasons had an average age of 35.05 ± 0.77 while those who claimed personal reasons had an average age of 30.47 ± 0.38 (p<0.001). The changes observed in the multivariable analysis included women who delayed motherhood for medical reasons with a mean age of 34.15 ± 0.88 years compared to a mean of 30.52 ± 0.36 years for women who had delayed for personal reasons, or for other reasons 27.51 ± 1.39 years–the youngest group. The association between maternal age and the different reasons for delaying motherhood was significant among the group that cited medical reasons (health problems resulting in recommendation against getting pregnant and infertility problems; for example: diseases, usually chronic such as autoimmune diseases, diabetic women with poor metabolic control, among others; women with pathological processes without definitive diagnosis, etc.”) (p < 0.001) and other reasons (p = 0.036) with respect to those who cited personal reasons (reference group). In women who indicated employment (reconciling work and family life) or economic reasons, the association was not significant (p > 0.05). Other reasons included 46.7% (7) indicating that it was not the right time before, 33.3% (5) not knowing the right person to have children with, and 20% (3) considering themselves as being too young to be a mother.
Table 3

Reasons reported by women for delaying childbearing and motherhood.

VariableTotal, nCrude AnalysisMultivariate Analysis
Age m, SEMp-valueAge ma*, SEMp-value
Reason for delaying motherhood<0.001
Personal21030.47 ± 0.3830.52 ± 0.36ref.
Employment (reconciling work and family life)5732.35 ± 0.5131.63 ± 0.700.156
Economic1230.11 ± 1.8131.56 ± 1.530.508
Medical problems3235.05 ± 0.7734.15 ± 0.88<0.001
Other1527.90 ± 1.2527.51 ± 1.390.036

* Adjusted for education level, income level, maternal smoking habit, history of previous miscarriage, and presence of medical pathology prior to pregnancy. Abbreviations: CI, confidence interval; m, mean; SEM, standard error of mean.

* Adjusted for education level, income level, maternal smoking habit, history of previous miscarriage, and presence of medical pathology prior to pregnancy. Abbreviations: CI, confidence interval; m, mean; SEM, standard error of mean. Table 4 analyzes the influence of maternal age on the time taken to achieve pregnancy successfully. The average time required to achieve pregnancy was greater as maternal age increased; with an average time of 24 months for women with a mean age of 35.38 ± 0.71 years compared to <3 months for women with a mean age of 29.27 ± 0.37 years. This association remained significant (p < 0.001) when adjusting for maternal education level, income level, maternal smoking habit, previous history of miscarriage, and presence of pathology prior to pregnancy.
Table 4

Influence of maternal age on the time taken to successfully achieve pregnancy.

VariableCrude AnalysisMultivariate Analysis
Age (years) m ± SEMp-valueAge (years) ma* ± SEMp-value
Duration (months)<33–6>6–12>12–24>24<33–6>6–12>12–24>24
29.27 ± 0.3730.53 ± 0.6532.32 ± 0.8333.58 ± 0.9935.38 ±0.71< 0.00129.44 ± 0.3930.58 ± 0.7231.77 ± 0.7332.45 ± 0.9035.23 ± 0.71< 0.001

* Adjusted for education level, income level, maternal smoking habit, history of previous miscarriage, and presence of medical pathology prior to pregnancy. Abbreviations: m, mean; SEM, standard error of mean

* Adjusted for education level, income level, maternal smoking habit, history of previous miscarriage, and presence of medical pathology prior to pregnancy. Abbreviations: m, mean; SEM, standard error of mean Table 5 shows the relationship between the need for medical assistance to achieve pregnancy and maternal age. Age was stratified into 4 groups: <25 years, 25–29 years, 30–34 years and ≥ 35 years. A positive association was established between maternal age and the need for medical assistance to achieve pregnancy. Women ≥ 35 years were more likely to need medical assistance to achieve a successful pregnancy than those of younger ages (aOR = 12.07, 95% CI: 1.50–97.05; p = 0.019), with maternal age acting as a risk factor in this case.
Table 5

Association between maternal age and the need for medical assistance to achieve successful pregnancy, stratified by age.

VariableTotal nAge (years)
< 25 n (%)25–29 n (%)30–34 n (%)≥ 35 n (%)
Medical Assistance
No28032 (96.97)69 (97.18)112 (89.60)67 (69.07)
Yes461 (3.03)2 (2.82)13 (10.40)30 (30.93)
OR (95% CI)1 ref.0.93 (0.08–10.61)3.71 (0.47–29.48)14.33 (1.87–109.80)
p-value0.9520.2140.010
aOR* (95% CI)1 ref.0.76 (0.07–8.85)3.03 (0.37–24.77)12.07 (1.50–97.05)
p-value0.8280.3010.019

* Adjusted for education level, income level, maternal smoking habit, history of previous miscarriage, and presence of medical pathology prior to pregnancy. Abbreviations: CI, confidence interval; n, number.

* Adjusted for education level, income level, maternal smoking habit, history of previous miscarriage, and presence of medical pathology prior to pregnancy. Abbreviations: CI, confidence interval; n, number. A significant association was detected between the level of anxiety presented by the mother and age (adjusted for maternal education level, income level, maternal smoking habit, previous history of miscarriage, and presence of pathology prior to pregnancy). The women with high anxiety had a mean age of 32.58 ± 0.83 years compared with those with lower anxiety levels, 30.48 ± 0.37 years (p = 0.022). Anxiety was assessed regarding the presence of a condition before pregnancy: it occurred in 39.5% of women with a chronic condition versus 33.6% of healthy women before pregnancy (OR = 1.29, 95% CI = 0.67–2.48). This OR was not modified after adjusting for age, income level, maternal smoking, previous history of miscarriage, and conditions during pregnancy (aOR = 1.29, 95% CI = 0.66–2.55). Anxiety was present in 37.8% of women needing assisted reproductive technology -ART- vs. 32.7% in the remaining women with a planned pregnancy (OR = 1.25, 95% CI = 0.65–2.40). After adjusting for the same variables above mentioned the relationship was not significant (aOR = 1.00, 95% CI = 0.47–2.10).

Discussion

Several objectives were proposed in this study, such as identifying the main reasons reported by the women for delaying maternity, identify independent determinants (objective factors) associated with the postponement of motherhood, as well as document whether there is an association between maternal age and the time taken to achieve successful pregnancy or the need for medical assistance, and evaluate the influence of maternal age on the level of anxiety. In our results, having a partner, university level education, a higher income level, and job stability (type of contract) was associated with motherhood at a later age. Women indicated medical reasons and other reasons, such as it not being the right time before, as reasons for delaying motherhood. An association was identified between maternal age and the time taken to achieve pregnancy once she decided to try. Furthermore, women who became mothers at an age older than 35 were more likely to need medical assistance to get pregnant. Women who became mothers at an older age were found to have a higher level of anxiety than younger women. Montilva, in a study carried out in South America, explored the reasons for delaying motherhood and identified the need for the development of a professional career for stability in the labor market and consolidation of academic training, as well as finding a stable relationship [17]; coinciding with the results of our study. Additionally, Alamillos Guardiola found that women face motherhood in a planned manner and delay the process in favor of economic and professional stability [16]; in line with our results. Youth unemployment, temporary contracts, and unstable labor market conditions generate a context of economic "insecurity" that leads to the postponement of the first birth, due to the impossibility of making long-term binding decisions [19, 30–32]. These findings are in line with our results, where an indefinite contract that gives stability is associated with motherhood at an older age. This may be because achieving this employment contract in the labor market takes time while the required work experience is acquired. Among the reasons cited by women for delaying motherhood were medical reasons; and this was the most prominent reason in relation to an advanced maternal age. This finding coincides with other published research [11,12,33]. As opposed to other studies [15], for the women participating in our study reasons related to employment (combining family and work) were not a significant reason for delaying motherhood. Our results, in which women delay motherhood for other reasons—such as that it was not the right time or not knowing the right person to have a child with—coincide with the National Fertility Survey carried out in Spain [15]. The time taken to achieve a successful pregnancy increased linearly with the increase in maternal age. This finding is consistent with that of Schmidt et al, who also found differences between the time taken to achieve pregnancy and age; with older women taking more time [13]. López Garrido et al., in a retrospective descriptive study of 491 pregnant women in Spain who achieved a desired spontaneous pregnancy, determined the influential factors on the mean time required to achieve pregnancy and highlighted a significant influence of maternal age [34]. They estimated a mean time of 6.8 cycles in women 35 years or younger and 10.9 cycles in those over 35 years, in other words, the older the women the more time it will take to achieve a pregnancy; in line with other authors [35] and with our results. Fisher et al. found, in an Australian study, that older women had fewer pregnancies achieved spontaneously than those who were mothers at a younger age [36]; in line with our results and other studies [15,21-23,37]. The mean age of the women with the highest anxiety level was higher than the mean age of those who presented lower levels; however, this association was only significant for the highest anxiety level. Similar results were obtained by Velásquez [38], who found a relationship between the maternal age of primiparous women and their level of anxiety, with a higher level of anxiety in the older primiparous women. In contrast to our results, Van Heyningen et al., in a cross-sectional study conducted in South Africa on 376 women, did not identify maternal age as a predictor of the pregnant woman's anxiety level [39]. The mode of conception (spontaneous or with medical help) was not associated in our results with the level of postpartum anxiety in line with the results of Lardon et al. [40] This may be due to the fact that once pregnancy and childbirth have been achieved, the possible anxiety that can result in not achieving pregnancy and childbirth decreases when the woman has achieved the goal that was set: having a child [41]. Therefore, we believe that this variable has not influenced the level of postpartum anxiety in mothers.

Strengths and weaknesses of the study

The present study has its strengths and weaknesses. One advantage of our sample is representative of a reference population. The questionnaire used to collect the information has been previously tested. It is unlikely that an information bias exists as the collected data and the way the developed questions were carried out did not require having a high level of education (understandable for all education levels) to could be understood by all the participants regardless of their level of education. In terms of weaknesses, we cannot discard a memory bias, but if present, we think it would be a non-differential bias because the type of information collected and the short time period at which the questionnaire was administered. A selection bias associated with non-responders is unlikely to have had an influence on the results, as the majority of women selected agreed to participate. Only 13 woman refused participation and nor was there any reason to believe that those who did not participate would have had performed differently to those who did.

Conclusion

A higher level of education, a higher level of income, job stability via an employment contract, as well as living as a couple, are determinants associated with motherhood at older ages. In addition, medical reasons are the among the reasons most cited by women for delaying motherhood. The delay in the decision to be a mother was associated with the difficulty to achieve pregnancy due to age and with the need for some kind of medical assistance, such as assisted reproduction techniques, to achieve a successful pregnancy.
  17 in total

1.  [Women age as a risk factor for maternal, fetal, neonatal and infant mortality].

Authors:  Enrique Donoso; Jorge A Carvajal; Claudio Vera; José A Poblete
Journal:  Rev Med Chil       Date:  2014-02       Impact factor: 0.553

Review 2.  Demographic and medical consequences of the postponement of parenthood.

Authors:  L Schmidt; T Sobotka; J G Bentzen; A Nyboe Andersen
Journal:  Hum Reprod Update       Date:  2011-10-11       Impact factor: 15.610

Review 3.  Why do people postpone parenthood? Reasons and social policy incentives.

Authors:  Melinda Mills; Ronald R Rindfuss; Peter McDonald; Egbert te Velde
Journal:  Hum Reprod Update       Date:  2011-06-07       Impact factor: 15.610

Review 4.  Prevalence of antenatal and postnatal anxiety: systematic review and meta-analysis.

Authors:  Cindy-Lee Dennis; Kobra Falah-Hassani; Rahman Shiri
Journal:  Br J Psychiatry       Date:  2017-03-16       Impact factor: 9.319

Review 5.  Reproductive potential in the older woman.

Authors:  P R Gindoff; R Jewelewicz
Journal:  Fertil Steril       Date:  1986-12       Impact factor: 7.329

6.  Partner support during the prenatal testing period after assisted conception.

Authors:  Joëlle Darwiche; Anne Milek; Jean-Philippe Antonietti; Yvan Vial
Journal:  Women Birth       Date:  2018-08-09       Impact factor: 3.172

7.  Socioeconomic variations in female fertility impairment: a study in a cohort of Portuguese mothers.

Authors:  Sofia Correia; Teresa Rodrigues; Henrique Barros
Journal:  BMJ Open       Date:  2014-01-02       Impact factor: 2.692

8.  Fertility postponement is largely due to rising educational enrolment.

Authors:  Máire Ní Bhrolcháin; Eva Beaujouan
Journal:  Popul Stud (Camb)       Date:  2012-08-14

9.  Age, mode of conception, health service use and pregnancy health: a prospective cohort study of Australian women.

Authors:  Jane Fisher; Karen Wynter; Karin Hammarberg; John McBain; Frances Gibson; Jacky Boivin; Catherine McMahon
Journal:  BMC Pregnancy Childbirth       Date:  2013-04-08       Impact factor: 3.007

10.  Lumbopelvic pain, anxiety, physical activity and mode of conception: a prospective cohort study of pregnant women.

Authors:  Emeline Lardon; Audrey St-Laurent; Véronique Babineau; Martin Descarreaux; Stephanie-May Ruchat
Journal:  BMJ Open       Date:  2018-11-01       Impact factor: 2.692

View more
  5 in total

1.  Expression of the histone lysine methyltransferases SETD1B, SETDB1, SETD2, and CFP1 exhibits significant changes in the oocytes and granulosa cells of aged mouse ovaries.

Authors:  Yesim Bilmez; Gunel Talibova; Saffet Ozturk
Journal:  Histochem Cell Biol       Date:  2022-04-20       Impact factor: 4.304

Review 2.  Current approaches to overcome the side effects of GnRH analogs in the treatment of patients with uterine fibroids.

Authors:  Mohamed Ali; Mohamed Raslan; Michał Ciebiera; Kornelia Zaręba; Ayman Al-Hendy
Journal:  Expert Opin Drug Saf       Date:  2021-10-20       Impact factor: 4.250

3.  Explaining the pattern of childbearing behaviors in couples: Protocol for a focused ethnographic study.

Authors:  Faranak Safdari-Dehcheshmeh; Mahnaz Noroozi; Fariba Taleghani; Soraya Memar
Journal:  J Educ Health Promot       Date:  2022-02-26

4.  Age-related differences in the translational landscape of mammalian oocytes.

Authors:  Edgar Del Llano; Tomas Masek; Lenka Gahurova; Martin Pospisek; Marketa Koncicka; Anna Jindrova; Denisa Jansova; Rajan Iyyappan; Kristina Roucova; Alexander W Bruce; Michal Kubelka; Andrej Susor
Journal:  Aging Cell       Date:  2020-09-20       Impact factor: 9.304

5.  Level of Job Burnout among Midwives Working in Labour Rooms in Barcelona Region: A Cross-Sectional Study.

Authors:  Pablo Rodríguez Coll; Rosa Cabedo Ferreiro; Roser Palau Costafreda; Laia Cantó Codina; Sergio García Perdomo; Noemí Obregón Gutiérrez; Ramón Escuriet Peiró
Journal:  Int J Community Based Nurs Midwifery       Date:  2021-07
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.