Investigating the Relationship between the General Health of Mothers and their Maternal Performance following Vaginal Childbirth

All published articles of this journal are available on ScienceDirect.

RESEARCH ARTICLE

Investigating the Relationship between the General Health of Mothers and their Maternal Performance following Vaginal Childbirth

The Open Public Health Journal 19 Sep 2024 RESEARCH ARTICLE DOI: 10.2174/0118749445342415240910050237

Abstract

Background

Birthing parents need to use specialized skills as the first caregivers of the newborn. Several factors may affect maternal performance, the general health of the birthing parent (e.g., mother) being one of them. Yet, there is a paucity of research in this area, particularly in Iran, and evidence remains inconsistent. Consequently, this study aimed to determine any correlations between maternal performance and the general health of mothers following vaginal childbirth in the context of Iran.

Methods

This cross-sectional study was conducted with people identifying as mothers (n = 450) who had given birth (< two months) and been referred for the vaccination of their newborn. The multi-stage sampling method was carried out from April 2022 to February 2023. Participants who met the inclusion criteria completed a demographic and obstetric information questionnaire, along with the Barkin maternal performance and general health questionnaire. To investigate the relationship between maternal performance and the general health of the mothers, an independent t-test analysis was conducted . The level of statistical significance was set at p < 0.05.

Results

The mean age of participants was 26.78, and the mean total score of maternal performance was 91.04 (0 - 120). The highest and lowest scores related to the ‘maternal competence’ and the ‘maternal needs’ domains, respectively. Overall, 76.89% of participants had a favorable general health condition (a score of less than 3.5 is considered favorable). There was no statistically significant difference identified in terms of maternal performance scores between those with a favorable and those with an unfavorable general health status.

Conclusion

Although the results of the present study did not show a significant relationship between the general health of mothers and maternal performance, this research builds on a growing body of evidence in the context of Iran. Despite recording high maternal performance scores in this sample, it will be important to enhance and maintain good mental health in all childbearing people, particularly following vaginal childbirth, as it is this which will enhance care and outcomes overall.

Keywords: General health, Maternal performance, Childbirth, Predictors, Postpartum, Pregnancy.

1. INTRODUCTION

The performance of the birthing person in the postpartum period is an important indicator of the successful transition in their role as a parent and predicts behavior, self-efficacy, and infant care behavior [1]. Childbirth itself is one of the most significant life events [2]. Yet the postpartum period can be particularly stressful, with sudden and severe changes in one's roles and responsibilities following childbirth [3]. Applying the specialized skills that birthing parents need to strengthen their role as the first caregiver of the baby, ensuring their health, and managing household affairs is often referred to as ‘maternal performance’ [4], though we recognize the need for future language to be gender inclusive [5]. Such performance is an important variable affecting infant care during the 12 months following birth and throughout parental life [6]. Postpartum maternal performance is a complex and multidimensional concept that includes self-care, care of the baby, infant feeding, family care, and social and occupational activities [7]. As this performance presents as stressful, there is a need to explore how the health of the birthing parent may correlate with performance in this context.

The performance of the birthing person (often a mother) is influenced by several factors [8]. In the postpartum period, influencing factors may include mode of birth [9], infant mood and night waking [10], social support [11], depression [12], and anxiety [13]. Considering that depression and anxiety are both factors affecting maternal performance in this context, we hypothesized that general health and/or mental health may also be an influencing factor.

According to the World Health Organization, health is defined as being not only the absence of disease or disability but also the optimal state of physical, mental, and social well-being, where mental health is the relative ability of a person to perform physical, mental and social roles [14]. General health is also one of the important indicators of personal and social health [15]. It has four subscales, including physical function, social function, anxiety, and depression [16]. People experience significant changes in their general health status during and after pregnancy and childbirth [15]. As such, studying general health in this context will be vital, particularly in the prevention of adverse outcomes associated with pregnancy and childbirth [16].

Previous studies have identified significant relationships between maternal performance following childbirth and mental health (e.g., anxiety, depression, behavior control, and positive affect) [17-20]. Indeed, some child bearers with depression and clinical problems may experience lower performance [8] and functioning [7] when acting as primary carers for their newborn. Postpartum depression following childbirth can also have a negative effect on bonding with the infant at one- and four months post-childbirth [21]. Conversely, performance following childbirth can increase following a decrease in depression [22]. Yet, in one study, no significant relationship was found between postpartum depression symptoms and the quality of infant care [23]. Such inconsistencies require further examination in a variety of contexts, particularly in Iran, where limited studies exist and birthing people are reportedly less prepared for parenthood following childbirth [17, 24]. It is also not clear how general health (as opposed to mental health) may relate to maternal performance in this context. Considering the above, we aimed to determine the relationship between the general health of the birthing person (e.g., mother) and maternal performance following vaginal childbirth in the context of Iran.

2. METHODS

2.1. Study Design and Setting

This cross-sectional study included participants attending health centers for their neonates to receive vaccinations two months following childbirth. Participants were recruited from health centers affiliated with the University of Medical Sciences in Tehran, Iran. Multi-stage sampling was used, and health centers affiliated with the university were first divided into two strata (west and northwest). Following the randomized selection of centers from each stratum, sampling occurred via the proportional allocation method. Continuous sampling was then used until the full sample size was reached among those who met the inclusion criteria. The share of each comprehensive health service center and the number of participants recruited to the study were determined by the total number of people who gave birth and were referred to the West and Northwest health centers overall. Information about the research and questionnaire was given to potential participants by one of the authors (M.CH.). Participants who gave their informed consent to participate were subsequently asked to complete the instruments in paper form. Sampling continued from April 2022 to February 2023.

2.2. Sample Size

Where the standard deviation of maternal performance was equal to 0.24, taking into account an accuracy of 0.03 and with a confidence limit of 95%, the sample size calculated for a similar study based on estimating averages has been equal to 246, rising to 450 after additionally taking into account the possibility of incomplete cases [25].

n = [(1.96) 2 × (0.24) 2] ÷ (0.03) 2 = 246

2.3. Inclusion and Exclusion Criteria

All participants who met the inclusion criteria were Iranian and had experienced vaginal births resulting from either a low-risk or a high-risk (e.g., due to either diabetes, anemia, hypothyroidism, blood pressure, preeclampsia, a body mass index above 29, age > 35 or < 18, low birth weight and/or premature birth) singleton pregnancy. Those who had experienced stressful events such as the death of a loved one in the last three months, instrumental vaginal birth or babies born with abnormalities, cesarean section, a history of alcohol, smoking and/or drug use, known psychological conditions, or underlying physical conditions (e.g., lupus, heart disease, and kidney disease) were excluded from participation, as these were considered to be factors which may influence performance independently.

2.4. Data Collection

Our data collection tool included a demographic and obstetric history questionnaire. Following this, the 12-item General Health questionnaire (GHQ) was administered. In this questionnaire, the following answers: “more than usual” and “in the normal range,” were given a score of zero, whereas the answers; “worse than usual” and “much worse than usual” were assigned a score of one. Accordingly, the minimum score was considered to be zero, and the maximum score was considered to be 12. The best cut point for the 12-question general health questionnaire is 3.5 [26]. In this study, the Likert scoring method was used (1-1-0-0). The Persian version of this questionnaire was translated in Iran by Tagharrobi et al. (2012), who previously designed and implemented a study with the aim of investigating the reliability and validity of a 12-item general health questionnaire with C-GHQ scoring style in Iran. With this scoring method, which varies between 0 (favorable) and 12 (unfavorable), a higher score indicates a more negative response [27].

The third part of our data collection tool contained the Barkin Index of Maternal Functioning (BIMF) instrument [28], which included 20 items. Each item was scored on a 7-point Likert scale (strongly disagree = 0 to strongly agree = 6). The minimum score was zero, and the maximum score was 120. A higher score was associated with a higher level of performance. This tool had two domains: the domain related to ‘maternal needs’ included 7 items (2, 6, 7, 8, 9, 11, and 13), and the domain related to ‘maternal competence’ included 13 items (1, 3-5, 10, 12, 14-20). In order to complete the questionnaire, participants were asked to indicate their performance experience during the last two weeks. Items 16 and 18 required reverse scoring. The reliability of the original version of this instrument was confirmed with a Cronbach’s alpha of 0.87 [28]. The validity of the Iranian version of the tool was confirmed via face and content validity, and its reliability was confirmed through Cronbach’s alpha coefficient [29]. Participants in the present study were given the opportunity to complete the entire data collection tool containing all questionnaires and their items within 30 minutes in a completely calm environment without being hurried or disturbed in any way.

2.5. Ethical Approval

This study was approved by the Ethics Committee at Iran University of Medical Sciences, Tehran, Iran (Number: IR.IUMS.REC. 1400.1083). Informed written consent was obtained from participants (> 18 years old), who were fully informed of the purpose and procedures of the study. Participants were also assured of the confidentiality of information. All methods were carried out in accordance with our study protocol, along with relevant guidelines and regulations associated with Iran University of Medical Sciences and professional regulatory bodies such as the Nursing and Midwifery Council. This research was conducted on humans by the Helsinki Declaration of 1975, as revised in 2013 (http://ethics.iit.edu/ecodes/node/3931).

2.6. Analyses

The data were analyzed using SPSS V.24 (SPSS). Following the assessment of skewness and kurtosis, the quantitative data were considered to be normally distributed. Descriptive statistics, including frequencies and percentages, mean and SD, were used to understand demographic and other variables associated with obstetric history. To compare the constructs of maternal performance, scores were normalized to a maximum score of 100. To calculate each construct’s normalized score, each score was subtracted from the minimum score related to that construct and then divided by the difference between the maximum and minimum score. The final result obtained was then multiplied by 100.

To investigate the relationship between maternal performance and general health, independent t-test analysis was conducted. The level of statistical significance was set at p < 0.05.

Table 1.
Frequency distribution of participants’ demographic characteristics.
Variable No Percent Min Max Mean SD
Age (Year) 25 ≥ 200 44.44 16 43 26.78 5.318
26-35 223 49.56
36 ≤ 27 6.00
Spouse’s age (Year) 25 ≥ 70 15.56 20 54 31.40 5.197
26-35 281 62.44
36 ≤ 99 22.00
Level of education Primary school 35 7.78 - - - -
Secondary School 60 13.33
Diploma 153 34.00
University education 202 44.89
Occupation Employed 103 22.89 - - - -
Housewife 347 77.11
Spouse’s level of education Primary school 25 5.56 - - - -
Secondary School 56 12.44
Diploma 169 37.56
University education 200 44.44
Spouse’s occupation Worker 82 18.22 - - - -
Employees 170 37.78
Self-employment 198 44.00
Ethnicity Turk 95 21.11 - - - -
Kurdish 41 9.11
Lur 68 15.11
Fars 132 29.33
Other 114 25.33
Financial status Undesirable 68 15.11 - - - -
Fairly favorable 243 54.00
Optimal 139 30.89

3. RESULTS

The inclusion and exclusion criteria were examined in 765 potential participants. Many (n = 315) were subsequently excluded. Some because they were not Iranian (n = 85), some because they gave birth via cesarean section (n = 175), some because they declined to participate (n = 40), and others because they had known psychological conditions or underlying physical conditions (e.g., lupus, heart disease, kidney disease) (n = 15) (Response rate = 59%). Of all eligible participants included in this study (n = 450), most participants were aged between 26 and 35 years, with a frequency of 223 (49.6%). The highest level of education of participants (n=202) was university level (44.9 percent), and the majority (n=347) were unemployed (77.1%). Most (n=273) gave birth in a public hospital (60.7%), and the majority (n=258) had experienced one previous pregnancy (57.3%). Many (n=299) had a previous history of vaginal childbirth (66.4%), and even more (n=363) reported no history of abortion (80.7%). The average gestational age of participants at the time of vaginal childbirth was 38.75 weeks. The demographic characteristics and obstetric history of the participants are presented in Tables 1 and 2.

Table 3 below presents results highlighting an average general health status of 1.86±2.306 for participants based on scores from 0 to 100. In reference to the variable related to maternal performance, competence had the highest average score.

Table 4 presents our finding that performance had no significant relationship with either the favorable or unfavorable general health status of participants (P=0.486).

Table 2.
Frequency distribution of participants’ fertility information.
Variable No Percent Min Max Mean SD
Place of birth Governmental hospital 273 60.67 - - - -
Private of hospital 177 39.33
Number of previous births 1 309 68.67 - - - -
2 122 27.11
3 ≤ 19 4.22
Number of abortions 0 363 80.67 - - - -
1 77 17.11
2 ≤ 10 2.22
Gestational age at the time of birth (weeks) < 37 41 9.11 31 41 38.75 1.255
37- 39 297 66.00
40 – 41 112 24.89
Wanted pregnancy Yes 394 87.56 - - - -
No 56 12.44
Pregnancy status Low risk 329 73.11 - - - -
High risk 121 26.89
Reason for pregnancy being high risk Diabetes 16 3.56 - - - -
Anemia 5 1.11
Hypothyroidism 23 5.11
Preeclampsia 5 1.11
BMI > 29 8 1.78
Participant’s age > 35 12 2.67
Participant’s age < 18 6 1.33
Low birth weight 5 1.11
Preterm birth 41 9.11
Frequency of receiving antenatal care < 4 60 13.33 1 20 7.03 2.640
5 – 10 352 78.22
11 ≤ 38 8.44
Place of antenatal care Hospital clinic 268 59.56 - - - -
Midwife’s office 58 12.89
Health center 124 27.56
Provider of antenatal care Midwife 182 40.44 - - - -
General physician 11 2.44
Obstetrician 257 57.11
Participation in childbirth preparation classes Yes 190 42.22 - - - -
No 260 57.78
Epidural or spinal anesthesia separate Yes 148 32.89 - - - -
No 302 67.11
Use of analgesics Yes 177 39.33 - - - -
No 273 60.67
Birth suite Single Occupancy 256 56.89 - - - -
Multiple Occupancy 194 43.11
Episiotomy Yes 343 76.22 - - - -
No 107 23.78
Lead professional during birth Obstetrician 129 28.67 - - - -
Midwife 108 24.00
Both 213 47.33
Length of hospitalization in the birth suite ≤ 4 122 27.11 2 12 5.92 1.755
5 - 8 314 69.78
≥ 9 14 3.11
Accompanying presence in the birth suite Yes 141 31.33 - - - -
No 309 68.67
Length of hospitalization (Day) 1 372 82.67 - - - -
2 66 14.67
3 12 2.67
Hospitalization of the neonate after birth in the intensive care unit Yes 33 7.33 - - - -
No 417 92.67
Duration of hospitalization of the neonate in the intensive care unit 0 417 92.67 - - - -
1 13 2.89
2 9 2.00
3 ≤ 11 2.44
Table 3.
Mean and standard deviation of performance and general health in participants.
Total Scores and Domains Max. Min. Mean SD Scores based on the 1-100
Max. Min. Mean SD
General health (0-12) 11 0 1.86 2.306 92 0 15.50 19.219
Maternal performance (0-120) 118 51 91.04 12.418 98 43 75.87 10.348
Domain 1: maternal needs (0-42) 42 9 30.58 6.272 100 21 72.81 14.933
Domain 2: Maternal competence (0-78) 78 39 60.46 7.383 100 50 77.51 9.465
Table 4.
Statistical indicators of participant performance according to general health status.
Variable Group NO (%) Performance Results
Mean SD
General health status* Favorable (< 3.5) 346 (76.89) 91.27 11.814 t= 697
df= 448
P= 0.486
Unfavorable (> 3.5) 104 (23.11) 90.30 14.281
Note: *Analysis with independent t-test.

4. DISCUSSION

This study has determined no relationship between general health and maternal performance in those referring to comprehensive health centers affiliated with the University of Medical Sciences in Tehran, Iran. The mean and standard deviation of general health scores were 1.86 and 2.306, respectively. Considering that the general health score varies between 0 (favorable) and 12 (unfavorable), our results demonstrate that many participants have favorable general health overall. In a previous study, the average rating scores of participants at 34 and 36 weeks of pregnancy and 6 weeks after vaginal childbirth were reported as 3.36 (SD = 2.69), 3.11 (SD = 2.58), and 3.12 (SD = 2.89), respectively [30]. Yet in Molly et al.'s (2013) study, the average score of the general health of those with children who had hearing impairments was 29.82 compared to those who did not (20.24). These averages indicate that the general health of those with children who had hearing impairments is somewhat favorable, and the general health of those who did not is favorable [31]. Considering these results are inconsistent with those presented in the present study, large meta-analyses may be indicated in the future.

The average general health score identified in a previous study conducted by Omidi et al. (2019) was 33.81 ± 16.27. The highest percentage of those studied (40%) had mild health disorders, and only a small percentage (3.7%) had severe health disorders [32]. Based on results reported by Mohajeri et al. (2015), the mean general health of participants in physical functioning areas (65.81 ± 24.12), social performance (61.62± 27.01), pain (62.12±27.01), mental Health (61.94 ± 20.14) was higher than other areas, and the lowest general health average was related to the impact of the role affected by emotional problems (44.38 ± 44.49). However, 23.2% in this area had a maximum general health score, and 32.1% had the lowest general health score. General health in those birthing with special educational needs was reported at a low level [33]. Moreover, birthing parents of children with disabilities also reportedly had low health levels [34]. Considering these inconsistencies with the results of the present study, it may be useful to take an intersectional approach in the future to account for how the characteristics of different birthing people intersect in this context.

5. MATERNAL PERFORMANCE

The mean and standard deviation of scores relating to maternal performance, maternal needs, and maternal competence were 91.04 ± 12.418, 30.58 ± 6.272, and 60.46 ± 7.383, respectively. A separate study conducted in Tabriz, Iran, reported an average maternal performance score of 97.4 [17]. Elsewhere, performance scores have been reported at 93.3 [35], 97.4 [36]. All the above studies used the same questionnaire, and the results aligned with those presented here. As such, this research contributes to a growing body of evidence in this regard. This is particularly interesting given that performance has been reported with an average score of 80 (range: 0-120) elsewhere, where participants screened positive for depression and other mental ill health conditions [37]. As in the present study, the highest scores related to competence have also been reported elsewhere more recently [38]. This further suggests that the field must now act on the growing body of evidence in this regard. Nevertheless, future studies may more usefully draw from alternate data collection tools such as the IFSAC tool [25, 39, 40] in order to make meta-analyses more feasible.

6. GENERAL HEALTH AND MATERNAL PERFORMANCE

We have identified no statistically significant difference in performance scores for those with favorable and unfavorable general health status following childbirth. This is somewhat surprising given that there is often a significant relationship reported between performance following childbirth alongside mental health and all its subscales (anxiety, depression, behavior control, and positive affect) [4, 17, 37, 38]. Yet our study excluded participants who did not self-report good mental health, and performance is known to increase in the absence of poor mental health [4, 6, 7, 8, 22]. Yet, considering the importance of family and the role of birthing parents in Iranian culture, some may attempt to maintain their role, strengthen family relationships, and maintain their performance despite ill health. Future studies could usefully explore these phenomena by employing more qualitative methodologies.

The implications of the findings presented suggest that those childbearing with poor general health may be overcompensating in caring for their newborns early on. The consequences of this may unfold later in parenthood, when maternal performance can no longer be sustained in the face of ill health. As such, it will be important that parental support continues to sustain childhood development in the long term, particularly as parental burnout may have detrimental consequences to both childhood development and parental well-being in the long term.

7. STRENGTHS, LIMITATIONS, AND SUGGESTIONS FOR FUTURE RESEARCH

The current study was rigorously conducted, and multi-stage sampling was used to reduce sampling errors and enhance representation. Nevertheless, a clear limitation is that only participants from the west and northwest regions of Tehran were included. Moreover, due to the design of this study, those who experienced birth via cesarean section were also excluded. Considering that not all participants with a high-risk pregnancy and/or birth were able to participate, results cannot be generalized to all high-risk pregnancies and births. Future research is required in other geographical areas of Tehran, examining maternal performance in those who have given birth via cesarean section and those who experience high-risk pregnancy and childbirth. It will also be important to compare scores with participants in other parts of the world and conduct more qualitative research to understand how people adapt to parenthood following childbirth in a variety of cultures and contexts.

CONCLUSION

No statistically significant difference in maternal performance score was identified for those with favorable and unfavorable general health status following vaginal childbirth. This builds upon a growing body of evidence in the context of Iran. Despite this sample having high performance scores, it will be important to enhance and maintain good mental health in all childbearing people, particularly following childbirth, as this will enhance care and outcomes overall.

AUTHORS’ CONTRIBUTION

The authors confirm their contribution to the paper as follows: M.CH. and L.A.F. designed the study. M.CH., S.PA. and L.A.F. analyzed and interpreted the data. N.I., S.P., and L.A.F. interpreted the findings and wrote and revised the paper. All authors reviewed the results and approved the final version of the manuscript.

LIST OF ABBREVIATIONS

GHQ = General Health questionnaire
BIMF = Barkin Index of Maternal Functioning

ETHICS APPROVAL AND CONSENT TO PARTICIPATE

This study was approved by the Ethics Committee at Iran University of Medical Sciences, Tehran, Iran (Number: IR.IUMS.REC. 1400.1083).

HUMAN AND ANIMAL RIGHTS

All methods were carried out in accordance with our study protocol, along with relevant guidelines and regulations associated with Iran University of Medical Sciences and professional regulatory bodies such as the Nursing and Midwifery Council. This research was conducted on humans by the Helsinki Declaration of 1975, as revised in 2013 (http://ethics.iit.edu/ecodes/node/3931).

CONSENT FOR PUBLICATION

Informed written consent was obtained from participants (> 18 years old), who were fully informed of the purpose and procedures of the study.

STANDARDS OF REPORTING

STROBE guidelines were followed.

AVAILABILITY OF DATA AND MATERIALS

The data and supportive information are available within the article.

FUNDING

The current study was funded and supported by Iran University of Medical Sciences.

CONFLICT OF INTEREST

The authors declare no conflict of interest, financial or otherwise.

ACKNOWLEDGEMENTS

The authors would like to thank all who participated in this study.

REFERENCES

1
Aydın R, Kukulu K. Adaptation of the Barkin scale of maternal functioning and examination of the psychometric properties. Health Care Women Int 2018; 39(1): 50-64.
2
Simpson M, Catling C. Understanding psychological traumatic birth experiences: A literature review. Women Birth 2016; 29(3): 203-7.
3
Slomian J, Emonts P, Vigneron L, et al. Identifying maternal needs following childbirth: A qualitative study among mothers, fathers and professionals. BMC Pregnancy Childbirth 2017; 17(1): 213.
4
Barkin JL, Beals L, Bridges CC, et al. Maternal Functioning and depression scores improve significantly with participation in visiting Moms® Program. J Am Psychiatr Nurses Assoc 2021; 27(1): 54-63.
5
Pezaro S, Pendleton J, van der Waal R, et al. Gender‐inclusive language in midwifery and perinatal services: A guide and argument for justice. Birth 2024; 00: birt.12844.
6
Gholizadeh Shamasbi S, Barkin JL, Ghanbari-Homayi S, Eyvazzadeh O, Mirghafourvand M. The relationship between maternal functioning and mental health after childbirth in Iranian women. Int J Environ Res Public Health 2020; 17(5): 1558.
7
Fathi F, Mohammad-Alizadeh-Charandabi S, Mirghafourvand M. Maternal self-efficacy, postpartum depression, and their relationship with functional status in Iranian mothers. Women Health 2018; 58(2): 188-203.
8
Cresswell JA, Barbour KD, Chou D, et al. Measurement of maternal functioning during pregnancy and postpartum: Findings from the cross-sectional WHO pilot study in Jamaica, Kenya, and Malawi. BMC Pregnancy Childbirth 2020; 20(1): 518.
9
Chamgurdani FK, Barkin JL, Esmaeilpour K, Malakouti J, Buoli M, Mirghafourvand M. The effect of counseling with a skills training approach on maternal functioning: a randomized controlled clinical trial. BMC Womens Health 2020; 20(1): 51.
10
King LS, Rangel E, Simpson N, Tikotzky L, Manber R. Mothers’ postpartum sleep disturbance is associated with the ability to sustain sensitivity toward infants. Sleep Med 2020; 65: 74-83.
11
Pourkhaleghi N, Askarizadeh G, Fazilat-pour M, et al. Predicting post-partum depression of nulliparous women: Role of social support and delivery type. J health care 2017; 19: 18-29.
12
Ghaedrahmati M, Kazemi M, Kheirabadi G, et al. Postpartum depression risk factors: A narrative review. J Educ Health Promot 2017; 6: 60.
13
Post C, Leuner B. The maternal reward system in postpartum depression. Arch Womens Ment Health 2019; 22(3): 417-29.
14
Global status report on alcohol and health 2018. 2018. Available from: https://who.int/publications/i/item/9789241565639
15
Shamsaei F, Maleki A, Shobeiri F, Soltani F, Ahmadi F, Roshanaei G. The relationship between general health and coping style with perceived stress in primigravida healthy pregnant women: Using the PATH model. Women Health 2019; 59(1): 41-54.
16
Mohamadzadeh Tabrizi Z, Navi nezhad M, Sharifzadeh M, et al. The effectiveness of self-care training on Covid 19 on the general health of pregnant mothers. J Sabzevar Univ Med Sci 2023; 29(6): 785-98.
17
Havizari S, Ghanbari-Homaie S, Eyvazzadeh O, Mirghafourvand M. Childbirth experience, maternal functioning and mental health: How Are they related? J Reprod Infant Psychol 2022; 1-13.
18
Phua DY, Kee MZL, Meaney MJ. Positive maternal mental health, parenting, and child development. Biol Psychiatry 2020; 87(4): 328-37.
19
Saharoy R, Potdukhe A, Wanjari M, Taksande AB. Postpartum depression and maternal care: Exploring the complex effects on mothers and infants. Cureus 2023; 15(7): e41381.
20
O’Dea GA, Youssef GJ, Hagg LJ, et al. Associations between maternal psychological distress and mother-infant bonding: A systematic review and meta-analysis. Arch Women Ment Health 2023; 26(4): 441-52.
21
Suetsugu Y, Haruna M, Kamibeppu K. A longitudinal study of bonding failure related to aspects of posttraumatic stress symptoms after childbirth among Japanese mothers. BMC Pregnancy Childbirth 2020; 20(1): 434.
22
Floyd James K, Smith BE, Robinson MN, Thomas Tobin CS, Bulles KF, Barkin JL. Factors associated with postpartum maternal functioning in Black women: A secondary analysis. J Clin Med 2023; 12(2): 647.
23
McLearn KT, Minkovitz CS, Strobino DM, Marks E, Hou W. Maternal depressive symptoms at 2 to 4 months post partum and early parenting practices. Arch Pediatr Adolesc Med 2006; 160(3): 279-84.
24
Vaziri F, Khademian Z, Behbahani BM. Qualitative investigation of experiences and perception of primiparous women regarding childbirth in women referring to educational hospitals of Shiraz University of Medical Sciences. Modern Care J 2012; 9(3)
25
Mirghafourvand M, Mohammad Alizadeh Charandabi S, Fathi F, Razzag S. Predictors Of maternal functional status during postpartum period. J Hayat 2020; 26: 396-408.
26
Goldberg D, Williams P. General Health Questionnaire (GHQ). Swindon: NFER-Nelson 2000.
27
Tagharrobi Z, Sharifi K, Sooky Z. Psychometric analysis of Persian Ghq-12 with C-GHQ Scoring style. Prev Care Nurs Midwif J (Pcnm) 2015; 4: 66-80.
28
Barkin JL, Wisner KL, Wisniewski SR. The psychometric properties of the Barkin index of maternal functioning. J Obstet Gynecol Neonatal Nurs 2014; 43(6): 792-802.
29
Mirghafourvand M, Barkin JL, Jafarabadi MA, Karami F, Ghanbari-Homayi S. The psychometric properties of the Barkin index of maternal functioning (BIMF) for the Iranian population. BMC Womens Health 2019; 19(1): 166.
30
Ip WY, Martin C. Psychometric properties of the 12-item General Health Questionnaire (GHQ-12) in Chinese women during pregnancy and in the postnatal period. Psychol Health Med 2006; 11(1): 60-9.
31
Gita Molly, Mehdi Abdulzadeh Rafi, Shahrouz Nemati. Comparison of general health of mothers of deaf and hearing children. 2013; 22(2): 34-9.
32
Omidi A, Mohammadi N, Nazari S Z, Tapak L. Investigating correlation between spiritual health and public health among mothers of mentally disabled children. Avicenna J Nurs Midwif Care 2019; 27(4): 242-9.
33
Mohajeri S, Yaghmaei F, Mehrabi Y. Health status of mothers of children with special needs. Iranian J Rehabil Res Nurs 2015; 2(1): 12-22.
34
McConnell D, Llewellyn G. Health of mothers of school‐age children with disabilities. Aust N Z J Public Health 2006; 30(6): 572-4.
35
Karami Chamgurdani F, Barkin JL, Curry CL, Mirghafourvand M. Comparison of maternal functioning between Iranian mothers with and without depressive symptoms: A case-control study. Int J Environ Res Public Health 2020; 17(10): 3350.
36
Albanese AM, Geller PA, Steinkamp JM, Barkin JL. In their own words: A qualitative investigation of the factors influencing maternal postpartum functioning in the United States. Int J Environ Res Public Health 2020; 17(17): 6021.
37
Barkin JL, Wisner KL, Bromberger JT, Beach SR, Wisniewski SR. Factors associated with postpartum maternal functioning in women with positive screens for depression. J Womens Health (Larchmt) 2016; 25(7): 707-13.
38
Ahmadpour P, Curry C, Jahanfar S, Nikanfar R, Mirghafourvand M. Family and spousal support are associated with higher levels of maternal functioning in a study of Iranian postpartum women. J Clin Med 2023; 12(7): 2718.
39
Soltanpoor S, Mirghafourvand M, Mohhamadalizadeh S, Asgharijafarabadi M, Aghamiri V, Bagherinia M. Physical activity during pregnancy and its relationship with the functional status of primiparous women six weeks after childbirth: A cohort study. J Clin Diagn Res 2018.
40
Choobdarnezhad M, Amiri-Farahani L, Pezaro S. Maternal performance after childbirth and its predictors: A cross sectional study. BMC Pregnancy Childbirth 2024; 24(1): 215.