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Caspian Journal of Internal Medicine logoLink to Caspian Journal of Internal Medicine
. 2019 Spring;10(2):115–124. doi: 10.22088/cjim.10.2.115

The association between anemia and postpartum depression: A systematic review and meta-analysis

Milad Azami 1,2, Gholamreza Badfar 3, Zahra Khalighi 4, Parvin Qasemi 5, Masoumeh Shohani 6, Ali Soleymani 7, Shamsi Abbasalizadeh 2,*
PMCID: PMC6619471  PMID: 31363389

Abstract

Background:

The association between anemia and postpartum depression (PPD) has been reported to be controversial in different studies. Therefore, this study aimed to provide a comprehensive assessment of anemia and PPD.

Methods:

This review study was conducted according to the MOOSE protocol and results have been reported according to the PRISMA guideline. We searched epidemiologic studies published until January 2018 in nine English databases including Scopus, PubMed/Medline, Science Direct, Embase, Web of Science, CINAHL, Cochrane Library, EBSCO and Google Scholar using English MeSH keywords. The heterogeneity of the studies was assessed using the Cochran’s Q test and I2 index. Data were analyzed using a random effects model and comprehensive meta-analysis (CMA) software version 2.

Results:

In the 10 studies, the association between postpartum anemia and PPD was significant (heterogeneity test: P<0.001, I2=74.62%), and RR=1.887 (95%CI: 1.255-2.838, P=0.002). In 8 studies, anemia during pregnancy significantly increased the risk of postpartum depression (heterogeneity test: P=0.116, I2=36.422%), RR=1.240 (1.001-1.536, P=0.048). The subgroup analysis of postpartum anemia and PPD was not significant for the variables of quality of studies, study design, and the period of evaluating depression and anemia. The subgroup analysis of anemia during pregnancy and PPD was not significant for the period of evaluating depression. Publication bias did not affect the results of the studies.

Conclusion:

Meta-analysis results showed anemia during pregnancy and after pregnancy that significantly increased the risk of postpartum depression. Therefore, prevention, identification and treatment of anemia in pregnant women seem necessary.

Key Words: Anemia, Postpartum Depression, Meta-Analysis.


Anemia is one of the most important public health issues worldwide, which has a great impact on the physical, mental ability of people at work, and is the most common type of iron-deficiency anemia (1); about 80% of non-physiologic anemia during pregnancy occurs due to iron deficiency (2). Therefore, paying attention to the nutritional status of women during pregnancy is very important. The prevalence of anemia in pregnant women is affected by geographical region, lifestyle, and diet, and is reported to be between 14-80% in different societies (3-5). The effect of anemia on the adverse pregnancy outcomes, including pre-eclampsia, premature rupture of membranes, low birth weight, preterm birth, fetal and maternal deaths have been shown in various studies (6-8). Depression during pregnancy and PPD are one of the most common problems in pregnant women (9).

The cause of this problem is associated with genetics, history of mental illness, and physiological, psychological and social changes, hormonal changes, physical discomfort such as nausea and vomiting, fatigue, sudden pain during pregnancy, and is also associated with the health of the fetus and even the mode of delivery (10). Depression has short-term and long-term effects on mother and fetus, including high-risk behaviors, preeclampsia, negative pregnancy outcomes such as low birth weight, prematurity, small head circumference and increased PPD (11-14). Additionally, depression during pregnancy is also related to a range of other negative outcomes such as social isolation (10), marital conflicts (15), delayed motor skills or intellectual development in the infant (16), embryonic growth restriction, and high stress response in newborn at delivery (17, 18). Various studies have investigated the association between anemia and PPD, and the results of these studies are diverse (19-23) and no meta-analysis on this topic is available. Thus, a systematic review and meta-analysis seems necessary.

Obviously, in meta-analytical methods, by collecting data from several studies, the number of samples is greater and therefore, the range of variations and probabilities is reduced. As a result, the significance of statistical findings increases (24-27). On the other hand, the motto of the World Health Organization in 2017 (Depression: Let's Talk) emphasizes global attention to the issue of depression. The present study aimed to investigate the association between anemia and PPD.

Methods

Study protocol : This review study was conducted on the basis of the Meta-analysis of observational studies in epidemiology (MOOSE) protocol and results were reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline for systematic review and meta-analysis (27). All the steps of study were taken by two researchers independently. In cases of disagreement, a third researcher helped reach an agreement.

Search strategy : We searched epidemiologic studies published until January 2018 without time limit in nine English databases including Scopus, PubMed/Medline, Science Direct, Embase, Web of Science (ISI), CINAHL, Cochrane Library, EBSCO and Google Scholar search engine using English MeSH keywords: Anemia, Anaemia, Hemoglobin, Ferritin, Pregnancy, Pregnant Woman, Prenatal Care, Complications of Pregnancy, Postpartum Depression, Mental Disorders, and Mental Health. A combination of words was used with functions “AND” and “OR”. An example of the PubMed search strategy is shown in Appendix 1. A manual search was also done using the reference list of articles searched on the above-mentioned websites.

Inclusion and exclusion criteria : Inclusion criteria according to PICO (related to evidence-based medicine) (28): 1) Population: epidemiologic studies (cross-sectional, cohort and case studies) that investigated the association between anemia during pregnancy or postpartum anemia and PPD; 2) Intervention: hematological test to confirm anemia and questionnaire to confirm PPD; 3) Comparison: That shows the rate of PPD prevalence in anemic patients compared to non-anemic patients; 4) Outcome: Estimate the association between anemia and PPD.

Exclusion criteria were: 1) sample size other than pregnant women or postpartum women; 2) sample size with a history of mental illness or use of antidepressants; 3) letters to the Editor without original data, review and case report and 4) duplicate studies.

Qualitative assessment : The modified Newcastle Ottawa Scale (NOS) for cross-sectional studies (29) was used to assess the quality of the studies. The quality of the studies was divided into three categories: unsatisfactory (less than 5 points), satisfactory (5-6 points) and good or very good (7-10 points). Finally, the points given to the articles were compared by two researchers and a general discussion was carried out in cases of disagreement. The minimum score for entering the meta-analysis process was 5.

Data extraction : For data extraction, a premade checklist, including the name of the author (s), year of study, place of study, study design, sample size (total, case and control), mean and SD (standard deviation) for hemoglobin in case and control groups, P-value for correlation, age (mean±SD), gestational age (mean±SD), anemia cut-off point, depression diagnostic tool, depression cut-off point, and odds ratio (OR) or relative risk (RR) with 95% confidence interval (CI) was used.

Grading of evidence: We categorized the overall methodological quality of each distributed analysis using the Grading of Recommendations Assessment, Development and Evaluation (short GRADE), while taking into account study limitations (risk of bias), inconsistency, imprecision, and indirectness, and publication bias (30). Then, the quality of evidence was divided into high, moderate, low or very low.

Statistical analysis : The results of the study were analyzed using Comprehensive Meta-Analysis (CMA) Version 2. For calculating RR and 95% CI, we used: 1) Event rate and total sample size for each of the groups (case and control) in the studies of Parhizkar (31), Akbari (32), Eckerdal (33), Paterson (34); 2) P-value and sample size for correlation in the studies of Goshtasebi (20) and Corwin (21); 3) Mean, SD and sample size for each of the groups in the study of Armony (22); and 4) in the study of Alharbi (23), RR and 95% CI were reported. Finally, the RRS and 95% CI were combined for meta-analysis. The heterogeneity of the studies was assessed using the Cochran’s Q test and I2 index. In this regard, interpretation was as follows: (0-24% may not be important, 25-49% may indicate moderate heterogeneity, 50-75% indicate substantial heterogeneity and over 75% indicate considerable heterogeneity) (35). Therefore, we observed statistical heterogeneity, and thus, random effects model was used (36). A subgroup analysis was conducted to find out the cause of heterogeneity. Sensitivity analysis was also performed. The Begg and Egger’s tests were used to assess the publication bias. The significance level of the test was considered to be p<0.05.

Results

Study characteristics and methodological quality : The process of study selection is shown in figure 1. In this systematic study, 348 articles were identified based on an initial search by two researchers. 174 duplicate studies were excluded. 150 irrelevant studies were excluded. After final evaluation and review, 14 studies were excluded due to: sample size other than pregnant women or postpartum women (N=9); sample size with a history of mental illness or the use of antidepressants (N=2); letters to the editor without original data, reviews and case reports (N=3). Finally, 10 studies [10 studies for postpartum anemia and PD and 8 studies for anemia during pregnancy and PPD] entered the quantitative meta-analysis process. The mean age of the participants in the study was 28.16 years (95% CI: 25.30 - 31.03). Other characteristics of studies are summarized in table 1.

Figure 1.

Figure 1

PRISMA flowchart

Table 1.

Summary characteristics of studies entered into the meta-analysis

Ref First author, Published year Survey Design Place Sample size Tool for depression Time point of Cut-off point RR/ OR * (95%CI) * Quality
Case Control postpartum depression Anemia depression anemia Lower Upper
(20) Goshtasebi, 2013 1 Cohort Iran 14 240 EPDS At 4-6 W 4-6 W postpartum 13 11 3.746 1.178 11.906 Satisfactory
(21) Corwin, 2003 1 Cohort America 8 29 CES-D At 4 W At 7 and 14 days postpartum 16 12 5.846 1.337 25.56 Satisfactory
(22) Armony, 2012 1 Cohort China 140 124 EPDS At 24–48 h At 3th days postpartum 10 11 1.0 0.645 1.55 Good
(22) Armony, 2012** 1 Cohort China 130 118 EPDS At 6 W At 3 days postpartum 10 11 0.797 0.507 1.253 Good
(31) Parhizkar, 2012 1 Cross sectional Iran 316 84 EPDS At 4 W At 7th day postpartum 10 12 2.016 1.23 3.305 Satisfactory
(23) Alharbi, 2014 1 Cohort Saudi Arabia 166 186 EPDS 8- 12 W At 8–12 W postpartum 10 11 1.7 1.05 2.74 Good
(32) Akbari, 2008 1 Cohort Iran 28 81 EPDS At 4 W At 7th postpartum day 10 11 3.22 1.494 6.941 Good
(32) Akbari, 2008 1 Cohort Iran 29 96 EPDS At 4 W At 4 W postpartum 10 11 6.591 2.962 14.667 Good
(33) Eckerdal, 2016 2 Cohort Sweden 106 340 EPDS At 6 W At 6-8 W postpartum 12 11 1.107 0.371 3.296 Good
(34) Paterson, 1994 1 Cross sectional United kingdom 251 598 EPDS At 10th day At 10th day postpartum 14 10.5 1.331 0.791 2.241 Satisfactory
(22) Armony, 2012 2 Cohort China 12 125 EPDS At 6 W Early/mid pregnancy 10 11 1.278 0.436 3.744 Good
(22) Armony, 2012 2 Cohort China 54 81 EPDS 6 W Late pregnancy 10 11 1.278 0.684 2.389 Good
(22) Armony, 2012 2 Cohort China 72 483 EPDS At 24–48 h Early/mid pregnancy 10 11 0.919 0.584 1.439 Good
(22) Armony, 2012 2 Cohort China 71 417 EPDS At 6 W Early/mid pregnancy 10 11 0.736 0.466 1.162 Good
(22) Armony, 2012 2 Cohort China 181 366 EPDS At 24–48 h Late pregnancy 10 11 1.35 0.977 1.865 Good
(22) Armony, 2012 2 Cohort China 165 315 EPDS At 6 W Late pregnancy 10 11 1.247 0.886 1.756 Good
(32) Akbari, 2008 1 Cohort Iran EPDS At 4 W 38-40 W pregnancy 10 11 1.8 1.2 2.7 Good
(33) Eckerdal, 2016 1 Cohort Sweden 31 412 EPDS At 6 W During pregnancy 11 12 1.782 0.963 3.3 Good

1: Postpartum anemia on postpartum depression; 2: Anemia during pregnancy and postpartum depression. RR; Relative risk, OR; Odds ratio, CI: Confidence interval, W; week, H; hours,

*

RR/ OR and 95% CI was estimated.

**

Repetitive studies have been included and estimate the relation between anemia and postpartum depression for more than survey (anemia during pregnancy or postpartum anemia), more than one sample size or also different time point of postpartum depression or anemia.

T he association between postpartum anemia and PPD: In 10 studies, PPD was significantly higher in anemic women than non-anemic women based on the random effects model (heterogeneity test: P< 0.001, I2 = 74.62%), and RR= 1.887 (95% CI: 1.255-2.838, P= 0.002) (figure 2-A). In figure 2-B, this association is shown by omitting one study at a time, and the results showed that the overall estimate was strong (sensitivity analysis).

Figure 2.

Figure 2

The association of postpartum anemia and postpartum depression (A) and sensitivity analysis with removed one study (B). Random effects model. CI; Confidence interval

The association between anemia during pregnancy and PPD : In 8 studies, anemia during pregnancy significantly increased the risk of PPD (heterogeneity test: P= 0.116, I2 = 36.422%), RR= 1.240 (95% CI: 1.001-1.536, P= 0.048) (figure 2). Figure 3-B shows the sensitivity analysis and the results showed that the overall estimate was strong.

Figure 3.

Figure 3

The association of anemia during pregnancy and postpartum depression (A) and sensitivity with one study removed analysis (B), Random effects model. CI: Confidence interval

Subgroup analysis: The subgroup analysis of postpartum anemia and PPD was not significant for the variables of geographic regions (P=0.113), study design (P=0.545), quality of the studies (P=0.604), and the period of evaluating depression (P=0.604) and anemia (P= 0.261) (table 2). The subgroup analysis of anemia during pregnancy and PPD was not significant for the period of evaluating depression (P= 0.588) (table 2).

Table 2.

Subgroup analysis of anemia and postpartum depression

PValue RR 95% CI Heterogeneity Study(N) Variable
I 2 (%) PValue df Q
0.009 1.973 1.185-3.285 81.054 < 0.001 6 31.668 7 Asia Regions Postpartum anemia
0.019 5.846 1.337-25.561 0 - 0 0 1 America
0.294 1.286 0.804-2.058 0 0.765 1 0.089 2 Europe
Test for subgroup differences: Q= 4.366, df(Q)= 2, P= 0.113
0.10 2.038 1.182-3.514 79.399 < 0.001 7 33.979 8 Cohort Study design
0.016 1.652 1.100-2.481 22.172 22.172 1 1.285 2 Cross sectional
Test for subgroup differences: Q= 0.366, df(Q)= 1, P= 0.545
0.070 1.716 0.957-3.076 82.115 < 0.001 5 27.957 6 Good Quality of the studies
0.004 2.107 1.264-3.510 44.465 0.145 3 5.402 4 Satisfactory
Test for subgroup differences: Q= 0.270, df(Q)= 1, P= 0.604
0.280 1.392 0.764-2.538 66.217 0.031 3 8.880 4 ≤ 4 W Time point of postpartum depression
0.004 2.312 1.310-4.080 78.412 <0.0001 5 23.161 6 > 4 W
Test for subgroup differences: Q= 1.447, df(Q)= 1, P= 0.229
0.017 2.604 1.188-5.705 71.653 0.014 3 10.583 4 ≤ 2 W Time point of postpartum anemia
0.061 1.548 0.980-2.444 72.569 0.003 5 18.228 6 > 2 W
Test for subgroup differences: Q= 1.261, df(Q)= 1, P= 0.261
0.312 1.167 0.866-1.572 32.994 0.201 4 5.970 5 ≤ 4 W Time point of postpartum depression Anemia during pregnancy*
0.112 1.324 0.936-1.872 57.667 0.094 2 4.724 3 > 4 W
Test for subgroup differences: Q= 0.294, df(Q)= 1, P= 0.588

N; Number, RR; relative risk, W; week, CI; Confidence interval, Q; Q test for heterogeneity, df; degrees of freedom, and I2; I square.

*

We could not do other subgroup analysis

Publication bias : Publication bias for postpartum anemia and PPD was shown as a funnel plot, and p-value for Egger and Begg’s tests were 0.0528 and 0.0736, respectively, indicating that publication bias did not affect the results of the studies. Egger (p=0.710) and Begg’s (p=0.956) tests were not significant for anemia during pregnancy and PPD (figure 4).

Figure 4.

Figure 4

Publication bias for studies of postpartum anemia (A) and anemia during pregnancy (B) on postpartum depression

Grading of evidence: According to GRADE summaries, we considered the quality of the evidence to be moderate for all outcomes. GRADE summaries were provided in table 3.

Table 3.

GRADE assessment of confidence in effect estimates

Outcome Risk of bias Consistency Directness Precision Publication bias Quality
postpartum anemia on PPD No serious limitations Serious limitationsa No serious limitations No serious limitations No serious limitations Moderate
Anemia during pregnancy on PPD No serious limitations Serious limitationsb No serious limitations No serious limitations No serious limitations Moderate

GRADE; Grading of Recommendations Assessment, Development and Evaluation

a

Considerable heterogeneity: I2 = 74.62%

b

Moderate heterogeneity: I2 = 36.42%

Discussion

The present study is the first systematic review and meta-analysis of the association between anemia and PPD. The results of the association between anemia and PPD were not similar in different studies; in the studies of Armony et al. (2012) (22), Eckerdal et al. (2016) (33) and Paterson et al. (1994) (34), this association was not significant, but it was significant in the studies of Akbari et al. (2008) (32), Alharbi et al. (2014) (23) and Corwin et al. (2003) (21). Based on the results of this study, PPD was significantly higher in anemic women versus non-anemic women with RR= 1.887 and P=0.002. Moreover, the association between anemia during pregnancy and PPD was significant (RR= 1.39 [1.15-1.68], P=0.001). Although these are primary studies in this field, the final decision on whether or not anemia has been associated with depression in women during pregnancy and after pregnancy has not been made. In this study, according to the systematic review of all the documents and their combination by meta-analysis, this association was investigated, which indicated the existence of the association. Subgroup analysis to find out the cause of heterogeneity revealed that quality of studies, study design, timing of depression and anemia are not the influenced factors. Some studies indicated the depression during pregnancy and PPD were associated with thyroid disorders and gestational diabetes (37-39). Anemia during pregnancy and after pregnancy significantly increased the risk of postpartum depression. Hemoglobin decline may change the function of neurotransmitters and subsequently alter the cellular, oxidative and thyroid hormones metabolism. In addition, the reduction of inflammatory cytokines, such as interleukin 2, as causative agents for anemia, can be an influencing factor in depression. Therefore, anemia during pregnancy and after pregnancy may be one of the causes of depression by altering inflammatory cytokines (21). However, according to the findings of this study, PPD was significantly higher in anemic women versus non-anemic women, and there was a significant association between anemia during pregnancy and PPD. Although, the main causes of PPD in clinical sciences are not yet known (21, 37-40). In another study, the symptoms of depression ranged from 48 hours after pregnancy to 32 weeks after pregnancy were examined in 821 women with low serum ferritin levels. They showed that if serum ferritin was about 1 μg, the risk of PPD would increase by 3.98 times (41). In another study, bleeding more than 1000 ml after childbirth increased the chance of anemia and increased the risk of depression by 2.1 times (34).

In other studies, fatigue has been mentioned as one of the causes of depression; fatigue indicates a decrease in body energy levels and, consequently, the level of activity decreases to reduce energy consumption and to achieve balance. Increasing metabolic needs can explain the fatigue associated with pregnancy and postpartum period, and in this case, the higher the fatigue of the mother, the greater the likelihood of depression (42, 43). In investigation of the role of hormones in depression in pregnant and postpartum women, no major physiological hormone differences have been observed in women with PPD (21). In addition to physiological changes, sexual abuse, history of neurodegenerative disease or depression among relatives, especially close relatives, neglect from the spouse and relatives of the pregnant woman, fear of childbirth, marital problems, especially emotional and economic problems, low age of mother, marriage forced by parents, disinterest toward spouse and unwanted pregnancy can be other causes of depression during pregnancy and after childbirth (21, 44, 45). Publication bias for postpartum anemia on PPD studies has been shown as a funnel graph, and p-value for Egger’s and Begg’s tests were 0.06 and 0.08, respectively, indicating that publication bias did not affect the results of the studies. For anemia during pregnancy and PPD, Egger (0.826) and Begg’s (0.999) tests were not significant. It is assumed that the observed differences are due to different sampling and also the difference in the measured parameters in different societies. According to the World Health Organization's motto in 2017 (Depression: Let's talk), depression is a common emotional disorder and should be considered as a global health problem in all countries and societies. Family quality of life, early diagnosis of the disease in early weeks after delivery and early treatment are important (20, 46). Therefore, the study and treatment of anemia during pregnancy and after pregnancy can be an important preventive and therapeutic measure.

One of the limitations of this study is the lack of access to the Gray literature of different countries for the collection of more basic studies and more detailed examination.

In Conclusion, Meta-analysis results showed a significant association between anemia (during pregnancy and postpartum) and PPD. Therefore, prevention, identification and treatment of anemia in pregnant women seem necessary.

Appendix 1: PubMed search strategy

  1. Anemia [Title, Abstract]

  2. Anaemia [Title, Abstract]

  3. Hemoglobin [Title, Abstract]

  4. Ferritin [Title, Abstract]

  5. Pregnancy [Title, Abstract]

  6. Pregnant Woman [Title, Abstract]

  7. Prenatal Care [Title, Abstract]

  8. Complications of Pregnancy [Title, Abstract]

  9. Depression [Title, Abstract]

  10. Postpartum Depression [Title, Abstract]

  11. Mental Disorders [Title, Abstract]

  12. Mental Health [Title, Abstract]

  13. 1 OR 2 OR 3 OR 4

  14. 5 OR 6 OR 7 OR 8

  15. 9 OR 10 OR 11 OR 12

  16. 13 AND 14

  17. 13 AND 15

  18. 15 AND 16

References

  • 1.Kisioglu A, Ozturk M, Cakmak A, Özguner F. Anaemia prevalence and its affecting factors in pregnant women of Isparta Province. Biomed Res. 2005;16:11–14. [Google Scholar]
  • 2.Massot C, Vanderpas J. A survey of iron deficiency anaemia during pregnancy in Belgium: analysis of routine hospital laboratory data in Mons. Acta Clin Belg. 2003;58:169–77. doi: 10.1179/acb.2003.58.3.004. [DOI] [PubMed] [Google Scholar]
  • 3.Azami M, Darvishi Z, Sayehmiri K. Systematic Review and meta-analysis of the prevalence of anemia among pregnant Iranian women (2005-2015) Shiraz E-Med J. 2016;17:e38462. [Google Scholar]
  • 4.Sayehmiri K, Darvishi Z, Azami M, Qavam S. The prevalence of anemia in first, second and third trimester of pregnancy in Iran: a systematic review and meta-analysis. Iran J Obstet Gynecol. 2015;18:7–15. [Google Scholar]
  • 5.Stevens GA, Finucane MM, De-Regil LM, et al. Global, regional, and national trends in haemoglobin concentration and prevalence of total and severe anaemia in children and pregnant and non-pregnant women for 1995-2011: a systematic analysis of population-representative data. Lancet Glob Health. 2013;1:e16–25. doi: 10.1016/S2214-109X(13)70001-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Badfar G, Shohani M, Soleymani A, Azami M. Maternal anemia during pregnancy and small for gestational age: a systematic review and meta-analysis. J Matern Fetal Neonatal Med. 2019;32:1728–1734. doi: 10.1080/14767058.2017.1411477. [DOI] [PubMed] [Google Scholar]
  • 7.Rahmati S, Delpishe A, Azami M, Hafezi Ahmadi M R, Sayehmiri K. Maternal Anemia during pregnancy and infant low birth weight: A systematic review and Meta-analysis. IJRM. 2017;15(3):125–134. [PMC free article] [PubMed] [Google Scholar]
  • 8.Rahmati S, Azami M, Badfar G, Parizad N, Sayehmiri K. The relationship between maternal anemia during pregnancy with preterm birth: a systematic review and meta-analysis. J Matern Fetal Neonatal Med . 2019:1–11. doi: 10.1080/14767058.2018.1555811. [DOI] [PubMed] [Google Scholar]
  • 9.Azami M, Badfar G, Shohani M, Mansouri A, Soleymani A, et al. The Prevalence of Depression in Pregnant Iranian Women: A Systematic Review and Meta-Analysis. Iran J Psychiatry Behav Sci. 2018;12(3):e9975. [Google Scholar]
  • 10.Campagne DM. The obstetrician and depression during pregnancy. Eur J Obstet Gynecol Reprod Biol. 2004;116:125–30. doi: 10.1016/j.ejogrb.2003.11.028. [DOI] [PubMed] [Google Scholar]
  • 11.Avalos LA, Chen H, Li DK. Antidepressant medication use, depression, and the risk of preeclampsia. CNS Spectr. 2015;20:39–47. doi: 10.1017/S1092852915000024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Grote NK, Bridge JA, Gavin AR, et al. A meta-analysis of depression during pregnancy and the risk of preterm birth, low birth weight, and intrauterine growth restriction. Arch Gen Psychiatry. 2010;67:1012–24. doi: 10.1001/archgenpsychiatry.2010.111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Dayan J, Creveuil C, Marks MN, et al. Prenatal depression, prenatal anxiety, and spontaneous preterm birth: a prospective cohort study among women with early and regular care. Psychosom Med. 2006;68:938–46. doi: 10.1097/01.psy.0000244025.20549.bd. [DOI] [PubMed] [Google Scholar]
  • 14.Hobel CJ, Goldstein A, Barrett ES. Psychosocial stress and pregnancy outcome. Clin Obstet Gynecol. 2008;51:333–48. doi: 10.1097/GRF.0b013e31816f2709. [DOI] [PubMed] [Google Scholar]
  • 15.Brummelte S, Schmidt KL, Taves MD, Soma KK, Galea LA. Elevated corticosterone levels in stomach milk, serum, and brain of male and female offspring after maternal corticosterone treatment in the rat. Dev Neurobiol. 2010;70:714–25. doi: 10.1002/dneu.20805. [DOI] [PubMed] [Google Scholar]
  • 16.Leinonen JA, Solantaus TS, Punamäki RL. Parental mental health and children's adjustment: the quality of marital interaction and parenting as mediating factors. J Child Psychol Psychiatry. 2003;44:227–41. doi: 10.1111/1469-7610.t01-1-00116. [DOI] [PubMed] [Google Scholar]
  • 17.Goodman SH, Rouse MH, Long Q, Ji S, Brand SR. Deconstructing antenatal depression: What is it that matters for neonatal behavioral functioning? Infant Ment Health J. 2011;32:339–61. doi: 10.1002/imhj.20300. [DOI] [PubMed] [Google Scholar]
  • 18.Gaynes BN, Gavin N, Meltzer-Brody S, et al. Perinatal depression: Prevalence, screening accuracy, and screening outcomes. Evid Rep Technol Assess (Summ) 2005;119:1–8. doi: 10.1037/e439372005-001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Lewis AJ, Austin E, Galbally M. Prenatal maternal mental health and fetal growth restriction: a systematic review. J Dev Orig Health Dis. 2016;7:416–28. doi: 10.1017/S2040174416000076. [DOI] [PubMed] [Google Scholar]
  • 20.Goshtasebi A, Alizadeh M, Gandevani SB. Association between maternal anaemia and postpartum depression in an urban sample of pregnant women in Iran. J Health Popul Nutr. 2013;31:398–402. doi: 10.3329/jhpn.v31i3.16832. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Corwin EJ, Murray-Kolb LE, Beard JL. Low hemoglobin level is a risk factor for postpartum depression. J Nutr. 2003;133:4139–42. doi: 10.1093/jn/133.12.4139. [DOI] [PubMed] [Google Scholar]
  • 22.Armony-Sivan R, Shao J, Li M, et al. No relationship between maternal iron status and postpartum depression in two samples in China. J Pregnancy. 2012;2012:521431. doi: 10.1155/2012/521431. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Alharbi AA, Abdulghani HM. Risk factors associated with postpartum depression in the Saudi population. Neuropsychiatr Dis Treat. 2014;10:311–6. doi: 10.2147/NDT.S57556. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Azami M, Sharifi A, Norozi S, Mansouri A, Sayehmiri K. Prevalence of diabetes, impaired fasting glucose and impaired glucose tolerance in patients with thalassemia major in Iran: A meta-analysis study. Caspian J Intern Med. 2017;8:1–15. [PMC free article] [PubMed] [Google Scholar]
  • 25.Sayehmiri K, Tavan H. Systematic Review and Meta- analysis Methods Prevalence of Peptic ulcer in IRAN. Journal of Govaresh. 2015;20(4):250–258. doi: 10.4103/jrms.JRMS_1035_16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Sayehmiri K, Abangah G, Kalvandi G, Tavan H, Aazami S. Prevalence of peptic ulcer in Iran: Systematic review and meta-analysis methods. J Res Med Sci. 2018;23:8. doi: 10.4103/jrms.JRMS_1035_16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Shamseer L, Moher D, Clarke M, et al. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: elaboration and explanation. BMJ. 2015;349:g7647. doi: 10.1136/bmj.g7647. [DOI] [PubMed] [Google Scholar]
  • 28.Richardson WS, Wilson MC, Nishikawa J, Hayward RS. The well-built clinical question: a key to evidence-based decisions. ACP J Club. 1995;123:A12–3. [PubMed] [Google Scholar]
  • 29.Wells GA, Shea B, O’Connell D, et al. The Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomized studies in meta-analyses. 2011. [[cited 2012 Nov 25]]. Available at: http://www.ohri.ca/programs/clinical_epidemiology/oxford.asp.
  • 30.Guyatt GH, Oxman AD, Vist GE, et al. GRADE: an emerging consensus on rating quality of evidence and strength of recommendations. BMJ. 2008;336:924–6. doi: 10.1136/bmj.39489.470347.AD. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Parhizkar A. The relation between anemia and postpartum depression in pregnant women who referred to health and medical centers of Sanandaj in 2011-2012. Life Sci J. 2013;10:308–12. [Google Scholar]
  • 32.Akbari AA, Kariman NS, Asl Toughiri M, Ghaleheiha A, Alavi Majd H. Study of the realtionship between anemia and postpartum depression. J Sabzevar Univ Med Sci. 2008;15:33–9. [Google Scholar]
  • 33.Eckerdal P, Kollia N, Löfblad J, et al. Delineating the association between heavy postpartum haemorrhage and postpartum depression. Plos One. 2016;11:e0144274. doi: 10.1371/journal.pone.0144274. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Paterson JA, Davis J, Gregory M, et al. A study on the effects of low haemoglobin on postnatal women. Midwifery. 1994;10:77–86. doi: 10.1016/s0266-6138(05)80249-9. [DOI] [PubMed] [Google Scholar]
  • 35.Guyatt GH, Oxman AD, Kunz R, et al. GRADE guidelines 6 Rating the quality of evidence--imprecision. J Clin Epidemiol. 2011;64:1283–93. doi: 10.1016/j.jclinepi.2011.01.012. [DOI] [PubMed] [Google Scholar]
  • 36.Ades AE, Lu G, Higgins JP. The interpretation of random-effects meta-analysis in decision models. Med Decis Making. 2005;25:646–54. doi: 10.1177/0272989X05282643. [DOI] [PubMed] [Google Scholar]
  • 37.Bodnar LM, Siega-Riz AM, Miller WC, Cogswell ME, McDonald T. Who should be screened for postpartum anemia? An evaluation of current recommendations. Am J Epidemiol. 2002;156:903–12. doi: 10.1093/aje/kwf134. [DOI] [PubMed] [Google Scholar]
  • 38.Myint AM, Leonard BE, Steinbusch HW, Kim YK. Th1, Th2, and Th3 cytokine alterations in major depression. J Affect Disord. 2005;88:167–73. doi: 10.1016/j.jad.2005.07.008. [DOI] [PubMed] [Google Scholar]
  • 39.Azami M, Badfar G, Soleymani A, Rahmati S. The association between gestational diabetes and postpartum depression: A systematic review and meta-analysis. Diabetes Res Clin Pract. 2019;149:147–155. doi: 10.1016/j.diabres.2019.01.034. [DOI] [PubMed] [Google Scholar]
  • 40.Bergman M, Bessler H, Salman H, et al. In vitro cytokine production in patients with iron deficiency anemia. Clin Immunol. 2004;113:340–4. doi: 10.1016/j.clim.2004.08.011. [DOI] [PubMed] [Google Scholar]
  • 41.Albacar G, Sans T, Martín-Santos R, et al. An association between plasma ferritin concentrations measured 48 h after delivery and postpartum depression. J Affect Disord. 2011;131:136–42. doi: 10.1016/j.jad.2010.11.006. [DOI] [PubMed] [Google Scholar]
  • 42.Mayberry LJ, Gennaro S, Strange L, Williams M, De A. Maternal fatigue: implications of second stage labor nursing care. J Obstet Gynecol Neonatal Nurs. 1999;28:175–81. doi: 10.1111/j.1552-6909.1999.tb01982.x. [DOI] [PubMed] [Google Scholar]
  • 43.World Health Organization. Disease control priorities related to mental, neurological, developmental and substance abuse disorders. Geneva: Disease Control Priorities Project, Department of Mental Health and Substance Abuse. WHO; 2006. at: http://www.who.int/substance_abuse/publications/en/Neuroscience.pdf. [Google Scholar]
  • 44.Kiani F, Khadivzadeh T, Sargolzaee M, Behnam HR. Relationship between marital satisfaction during pregnancy and postpartum depression (PPD) Iran J Obstet Gynecol Infertil. 2010;13:37–44. [Google Scholar]
  • 45.Modabernia MJ, Shodjaei Tehrani H. Survey the frequency of depression in the last third months of pregnancy. J Guilan Univ Med Sci. 2009;18:19–25. [Google Scholar]
  • 46.Azimi Lolati H, Danesh MM, Hosseini SH, Khalilian A, Zarghami M. Postpartum depression in clients at health care centers in Sari. Iran J Psychiatry Clin Psychol. 2005;11:31–42. [Google Scholar]

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