Prevalence and factors associated with postpartum depression during the COVID-19 pandemic among women in Guangzhou, China: a cross-sectional study

DOI: https://doi.org/10.21203/rs.3.rs-27560/v2

Abstract

Background: The 2019 coronavirus disease (COVID-19) is a public health emergency of international concern. To date, there are limited studies that have investigated the impact of COVID-19 pandemic on mental health among female population. Therefore, the study aims to investigate the prevalence of postpartum depression (PPD) and it’s related factors among women in Guangzhou, China, during the COVID-19 pandemic.

Methods: A cross-sectional study was performed from 30th March 2020 to 13th April 2020 using anonymous online questionnaire among 864 women at 6-12 weeks postpartum. The Chinese version of Edinburgh Postnatal Depression Scale and a questionnaire regarding associated factors were administered to all participants. Multivariate logistic regression was used to determine factors that were significantly associated with PPD.

Results: The prevalence of PPD among women at 6-12 weeks postpartum was 30.0%. A multivariate logistic regression model identified significant factors as: immigrant women, persistent fever, poor social support, concerns about contracting COVID-19 and certain precautionary measures.

Conclusions: The findings suggest the need for policies and interventions to not only mitigate the psychological impacts but also targeting disadvantaged sub-groups of women following childbirth during the COVID-19 pandemic.

Background

The 2019 coronavirus disease (COVID-19) is a highly infectious disease and have posed a global health threat[1]. Since the emergence of COVID-19 infection in Wuhan, China on December 2019, it has rapidly spread across China and other countries around the world[2]. On January 30th 2020, the World Health Organization (WHO) declared the outbreak of the COVID-19 as a public health emergency of international concern[3]. Since the outbreak, the Chinese government has taken a swift move to retard the spread of the virus. As of 19th March, zero domestic infection was recorded for the first time since it's outbreak in China[4].

The ongoing COVID-19 pandemic is not only threatening people’s physical health but also inducing fear and helplessness. Previous research has explored such psychological effect during the outbreaks of infection[5-7]. During the Severe Acute Respiratory Syndrome (SARS) outbreak, 17.3% of heath workers had experienced mental symptoms[5]. During one influenza break, around 10~30% of general population were concerned about the possibility of contracting the disease[6]. Similarly, the impacts of COVID-19 pandemic on mental health including depression and negative assessment have also been recorded[7]. Risk factors such as being female, student status, specific physical symptoms, poor self-rated health status and increased self-blame were associated with a higher risk of COVID-19-related post-traumatic stress symptoms[7]. For women, the transition to motherhood is a challenging period and has been considered a window of increased vulnerability for the development of mental illness[8]. Therefore, it’s essential to understand the potential psychological changes caused by COVID-19 among perinatal women.

During the postpartum period, women are vulnerable to clinical depression characterized by depressed mood, agitation, disappointment and sleep disorders[9]. Prior research has identified a number of biological, psychological, socioeconomic, and cultural factors that were associated with the development of postpartum depression (PPD)[8]. For example, women with limited financial means are more prone to report PPD[10], perhaps due to a high amount of stress for the mother to raise an infant. In addition, transportation, cost, and childcare barriers related to low socioeconomic resources may also increase the likelihood of PPD resulting from limited accessibility to professional mental health care. During the COVID-19 pandemic, it’s imperative to understand the complex interplay of these factors in the development of PPD in Chinese context. Affected by COVID-19, people behave in a more reticent and conservative way such as staying at home with family and reducing get-togethers with friends and relatives[11]. It indicated that people were more likely to gain more support from their relatives. These positive impacts may have helped them cope with other negative impacts on mental health, including depression after delivery. Alternatively, an increase in financial and family stress resulting from restricted travel policy and self-isolation regulations would have led to a more passive lifestyle and a worsened mental health. To date, there’re limited studies that have investigated how severe the impact of COVID-19 pandemic is on mental health of women after delivery.

This study aims to investigate the prevalence of PPD among women in Guangzhou, China, and to explore the related factors of the occurrence of PPD during the COVID-19 pandemic.

Methods

This study was conducted in Guangzhou, the capital city of Guangdong province and one of the largest metropolitans in south China. The city of Guangzhou had a population of more than 16 million, 50% of which were internal migrants[12]. Patients were recruited from the obstetrics unit in the Third Affiliated Hospital of Southern Medical University, a 1000-bed tertiary teaching hospital in Guangzhou, China. In 2019, annual delivery in this unit reached about 4000.

A cross-sectional study was carried out from 30th March 2020 to 13th April 2020 in our hospital using anonymous online questionnaire. The effect size was assumed to be 0.30, referring the study of Gaskin, et al[13]. To achieve 80% power with an effect size of 0.5 and an alpha of 0.05, a total sample size of 367 was needed. We recruited women at 6-12 weeks after childbirth, 1) Chinese nationality; 2) be living in Guangzhou, China over a month during the COVID-19 period. The COVID-19 period refers to the period from January 2020 until April 2020; 3) providing informed consent in the online questionnaire. Women who had a history of family history of psychiatric disorders were excluded. Women who returned incomplete questionnaires were also excluded. A total of 887 candidates were invited to participate; 23 women refused to be enrolled in and 19 women returned incomplete questionnaire, resulting 845 eligible  women. This study included 845 women, allowing detection of significant differences with a power of 0.88 calculated by GPower software.

Data were collected using an anonymous structured questionnaire. The Chinese version of Edinburgh Postnatal Depression Scale (EPDS) was employed to assess PPD with a threshold of 10. The sensitivity and specificity of Chinese version have been found to be 0.82 and 0.86 respectively which were comparable to the original scale[14]. Women with a score of 10 or more were then experienced severity evaluation using Hamilton Depression Rating Scale for depression. A score of ≥7,  ≥17 and ≥24 were used to identify mild, moderate and severe depression respectively[15].

Based on literature[8]and expert consultation, structured questionnaires consisted of questions that covered information including: 1) socio-demographic factors such as age, employment, annual household income, household registration place; 2) obstetric data and physical symptom variables such as parity, mode of delivery, pregnancy associated diseases, delivery associated diseases, fever, cough, sore throat, as well as persistent fever and cough or difficulty breathing; 3) social factors such as perceived family income sufficiency, family socio-economic status, social support and marital relationship. Social support was ascertained by Likert scale with a range from 12 to 60. The scale consists of three subscales: informational support, emotional support and household activity support. This scale demonstrated acceptable reliability and validity in a previous study[16]; 4) concerns about COVID-19 variables such level of confidence in diagnosis, self and other family members contracting COVID-19 and likelihood of surviving if infected with COVID-19; 5) Precautionary measures against COVID-19 variables such as avoidance of sharing of utensils (e.g., chopsticks) during meals, covering mouth when coughing and sneezing, and the average number of hours staying at home per day to avoid COVID-19.

As the Chinese government recommended the public to isolate themselves at home, women were asked to complete an online questionnaire through an online survey platform. The data collection phase was completed with the help of six nurses and 4 post-graduates. They were trained for one afternoon by the principal investigator covering quality control, completeness of information and research ethics. All completed questionnaires were checked for completeness and consistency.

Ethics approval was obtained from the Research Ethics Board of Southern Medical University.

The primary data was entered into Epidata 3.0 before being exported to SPSS16.0. Chi-square test (for qualitative data) or Student’s t test (for quantitative data) was used to assess the differences in socio-demographic characteristics, obstetric data and physical symptoms, social profiles and COVID-19-related factors between women who had PPD and those who did not. The independent variables that were significantly associated ( P<0.05 ) with PPD were considered as possible contributing factors and entered into a multivariate logistic regression model. The model controlled for household registration in Guangzhou, persistent fever, social support, likelihood of contracting COVID-19 during the current outbreak, and avoiding sharing of utensils. Odds Ratios (ORs) with 95% confidence intervals (95%CIs) were calculated to measure the strength of association. A P value <0.05 was considered significant in the analysis.

Results

Of the 845 women who were enrolled in the assessment, we have reported that 253 women screened positive for PPD with EPDS at a cut-off point of 10, thus resulting in a prevalence of 30.0%. The number of women who had mild, moderate and severe PPD were 125 (14.8%), 91(10.8%), 37(4.4%).

Of all respondents, 42.0% were aged between 25 and 29 years. More than three-quarters (79.7%) of the participants had senior high school or college level education. 73.1% of the participants were unmarried. 47.2% of participants reported annual household income of 15000-19999 dollars. Distribution by place of household registration shows that 52.1% of the participants were immigrants.

The association between socio-demographic characteristics and PPD is presented in Table1. Immigrant women were significantly more likely to report PPD compared with their local counterparts.

Table1 Socio-demographic features of women with PPD

Factors 

EPDS<10

(592)       

 

EPDS≥10

(253)

χ2

P

n     %     

 

n

%

Age

 

 

 

 

 

0.153

0.985

  ≤24

95

16.0

 

41

16.2

 

 

  25~29

248

41.9

 

107

42.3

 

 

30~34

161

27.2

 

70

27.7

 

 

≥35

88

14.9

 

35

13.8

 

 

Educational level

 

 

 

 

 

0.054

0.973

Junior high school or less

121

20.4

 

50

19.8

 

 

Senior high school

203

34.3

 

88

34.8

 

 

College or more

268

45.3

 

115

45.4

 

 

Employment

 

 

 

 

 

0.264

0.612

Yes 

436

73.6

 

182

71.9

 

 

No

156

26.4

 

71

28.1

 

 

Annual household income

 

 

 

 

 

0.240

0.971

   $10000~14999 

141

23.8

 

58

22.9

 

 

   $15000~19999

278

47.0

 

121

47.8

 

 

   $ 20000~24999

122

20.6

 

54

21.3

 

 

≥$25000

51

8.6

 

20

7.9

 

 

Household registration in Guangzhou

 

 

 

 

 

4.597

0.035

  Yes

298

50.3

 

107

42.3

 

 

No

294

49.7

 

146

57.7

 

 








































Analysis of obstetric data, physical symptoms with the past 14 days and probable PPD was shown in Table2. Women who reported persistent fever were significantly more likely to develop PPD.

Table 2 Obstetric data and physical symptoms of women with PPD

Factors 

EPDS<10

(592)       

 

EPDS≥10

(253)

χ2

P

n     %     

 

n         %

Parity

 

 

 

 

 

0.000

1.000

1

278

46.9

 

119

47.0

 

 

 ≥2

314

53.1

 

134

53.0

 

 

Mode of delivery

 

 

 

 

 

0.070

0.817

Vaginal

364

61.5

 

158

62.5

 

 

Caesarean

228

38.4

 

95

37.5

 

 

Pregnancy related disease

 

 

 

 

 

0.212

0.632

  Yes 

109

18.4

 

50

19.8

 

 

No

483

81.6

 

203

80.2

 

 

Delivery related disease

 

 

 

 

 

0.351

0.607

  Yes

91

15.4

 

43

17.0

 

 

No

501

84.6

 

210

83.0

 

 

Persistent fever(>37.4℃ for at least one day)

 

 

 

 

 

709.1

0.000

  Yes

18

3.0

 

241

95.3

 

 

No

574

97.0

 

12

4.7

 

 

Cough

 

 

 

 

 

0.025

0.867

  Yes

163

27.5

 

71

28.1

 

 

No

429

72.5

 

182

71.9

 

 

Sore throat

 

 

 

 

 

0.072

0.806

  Yes

408

68.9

 

172

68.0

 

 

No

184

31.1

 

81

32.0

 

 

Persistent fever and cough or difficulty in breathing

 

 

 

 

 

1.388

0.235

  Yes

36

6.1

 

21

8.3

 

 

No

556

93.9

 

232

91.7

 

 


For social profiles, Table3 showed lower social support was significantly associated with the development of PPD.

Table3 Social profiles of women with PPD

Factors 

EPDS<10

(592)       

 

EPDS≥10

(253)

χ2/t

P

n     %     

 

n      %

Perceived family income sufficiency

 

 

 

 

 

0.066

0.967

  Not enough

232

39.2

 

100

39.5

 

 

  Just enough

318

53.7

 

134

53.0

 

 

  More than enough

42

7.1

 

19

7.5

 

 

Family socio-economic status

 

 

 

 

 

0.187

0.911

  Low

108

18.2

 

45

17.8

 

 

Middle

264

44.6

 

110

43.5

 

 

  High

220

37.2

 

98

38.7

 

 

Social support

  41.03±6.78

 

  38.70±9.16

-18.004

0.000

Marital relationship

 

 

 

 

 

0.271

0.873

  Poor

89

15.0

 

36

14.2

 

 

Moderate

367

62.0

 

155

61.3

 

 

  Satisfying

136

23.0

 

62

24.5

 

 


Table4 represented the relationship between concerns about COVID-19 and PPD. Variables were not associated with PPD, with the exception of concerning on contracting COVID-19 during the current outbreak which was significantly associated with PPD.

Table 4 Association between concerns about COVID-19 and PPD

Factors 

EPDS<10

(592)       

 

EPDS≥10

(253)

χ2

P

n     %     

 

n

%

Level of confidence in doctor’s ability to diagnose or recognize

 

 

 

 

 

1.129

0.569

High

314

53.1

 

136

53.8

 

 

 Middle

228

38.5

 

101

39.9

 

 

  Low

50

8.4

 

16

6.3

 

 

Likelihood of contracting COVID-19 during the current outbreak

 

 

 

 

 

104.1

0.000

High

105

17.7

 

112

44.3

 

 

 Middle

174

29.4

 

96

37.9

 

 

  Low

313

52.9

 

45

17.8

 

 

Concerns about other family members contracting COVID-19

 

 

 

 

 

0.103

0.960

High

211

35.6

 

90

35.6

 

 

 Middle

200

33.8

 

88

34.8

 

 

  Low

181

30.6

 

75

29.6

 

 

Likelihood of surviving if infected with COVID-19

 

 

 

 

 

0.438

0.803

High

479

80.9

 

206

81.4

 

 

 Middle

94

15.9

 

41

16.2

 

 

  Low

19

3.2

 

6

2.4

 

 


Regarding the precautionary measures adopted by the respondents, avoiding the sharing of utensils (e.g, chopsticks) during meals was significantly associated with the lower rates of PPD (Table5).

Table 5 Association between precautionary measures and PPD

Factors 

EPDS10

(592)       

 

EPDS≥10

(253)

χ2

P

n     %     

 

n

%

Covering mouth when coughing or sneezing

 

 

 

 

 

0.501

0.778

Always

409

69.1

 

178

70.4

 

 

 Sometime

140

23.6

 

60

23.7

 

 

  Occasionally 

43

7.3

 

15

5.9

 

 

Washing hands with soap

 

 

 

 

 

0.255

0.881

Always

396

66.9

 

170

67.2

 

 

 Sometime

168

28.4

 

73

28.8

 

 

  Occasionally 

28

4.7

 

10

4.0

 

 

Wearing a mask regardless of the presence or absence of symptoms

 

 

 

 

 

0.089

0.967

Always

486

82.1

 

209

82.6

 

 

 Sometime

95

16.0

 

40

15.8

 

 

  Occasionally 

11

1.9

 

4

1.6

 

 

Avoiding sharing of utensils (e.g, chopsticks) during meals

 

 

 

 

 

145.3

0.000

Always

318

53.7

 

41

16.2

 

 

 Sometime

173

29.2

 

75

29.6

 

 

  Occasionally 

101

17.1

 

137

54.2

 

 

Average number of hours staying at home per day to avoid COVID-19

 

 

 

 

 

0.399

0.819

  2024 hours

189

31.9

 

82

32.4

 

 

  1019hours

293

49.5

 

120

47.4

 

 

  09hours

110

18.6

 

51

20.2

 

 


Table6 shows the factors associated with PPD during COVID-19 pandemic in the study site. Immigrant women were 3.1 times significantly more likely to develop PPD compared to local women (OR=3.135, 95%CI: 2.759~3.428). In relation to physical symptoms, women who reported persistent fever were 2.1 times significantly more likely to develop PPD compared to women who had no fever (OR=2.084, 95%CI: 1.737~2.539). Similarly, women who had lower social support were at greater risk of PPD (OR=3.478, 95%CI: 2.259~3.701). In relation to concerns about COVID-19, women who perceived higher likelihood of contracting COVID-19 during the current outbreak were 3.3 times significantly more likely to develop PPD compared to women who perceived their likelihood of contraction was low (OR=3.276, 95%CI: 2.611~3.589). The likelihood of PPD is also varied by their dining customs. Women who preferred to using serving utensils (e.g, chopsticks) during meals were 37% significantly less likely to develop PPD compared to those who used sharing utensils (OR=0.672, 95%CI: 0.251~0.907).

Table 6 Multivariate logistic regression analysis of impact factor of PPD 

Covariates

B

S.E

Wald

  P

 OR

95%CI

Household registration place in Guangzhou

 

 

 

 

 

 

  Yes

21.049

No

0.067

0.236

28.730

0.000

3.135

2.759~3.428

Persistent fever (>37.4℃ for at least one day)

 

 

 

 

 

 

  Yes

0.018

0.225

11.341

0.000

2.084

1.737~2.539

No

8.709

Social support

0.615

0.349

35.012

0.000

3.478

2.259~3.701

Likelihood of contracting COVID-19 during the current outbreak

 

 

 

 

 

 

High

0.541

0.133

21.085

0.000

3.276

2.611~3.589

 Middle

0.677

0.435

18.018

0.721

1.549

0.608~2.133

  Low

26.547

Avoiding sharing of utensils (e.g, chopsticks) during meals

 

 

 

 

 

 

Always

0.097

0.169

15.044

0.013

0.627

0.251~0.907

 Sometime

0.008

0.136

29.820

0.156

1.349

0.886~1.835

  Occasionally 

31.472

 

Discussion

To our knowledge, this study was among one of the first studies with respect to the psychological responses of the delivery women in mainland China. The prevalence rate of PPD was as high as 30.0%. The present figure was higher than the prevalence of PPD reported in other studies carried out in China using the EPDS scale[17-19]. For example, in Hebei province of north China, 20.3% of women had elevated levels of postpartum depressive symptoms[17]. In Shanghai of east China, 6 weeks after delivery, the estimated prevalence of PPD was 11.8%[18]. In Guangzhou of south China, the rate of reporting PPD was 27.4%[19]. However, our result is consistent with reports in Asian countries which indicated the prevalence of PPD ranged from 3.5% to 63.3%[20]. Another cross-sectional study in Brazil found a similar prevalence of PPD (27.9%) among low income women[10]. Higher rates of PPD in this study may be explained by two evident differences between other studies and the current one. First, the present data were obtained during the COVID-19 pandemic. Although the COVID-19 outbreak in Guangzhou may not be regarded as severe, the number of imported cases is increasing during the time the study was conducted. According to Behavioral Immune System theory, people are likely to develop negative emotions and avoidant behaviors when faced with public health emergencies[11]. The uncertainty and unpredictability of COVID-19 may cause cognitive dissonance and insecurity, thus providing a feeling of mental discomfort. In addition, with the closure of schools and business as well as social-distancing regulations, negative emotions experienced by individuals are compounded. Therefore, these COVID-19 related factors have helped to add the stressful impact on women’s mental health. Second, the present study was entirely drawn from Guangzhou, one of the most affluent metropolitant in south China. As Guangzhou is one of the major air transportation hub with more than 130 international flight connecting main countries in the world, the potential impact of global COVID-19 outbreaks is high. Moreover, with the lockdowns eased gradually to ensure smooth resumption of work and production, a large number of internal immigrants who were originally from the poor and rural areas in the western and central inland provinces migrated to the southern developed regions for better job opportunities and income. Guangzhou is one of the favorite destinations. The convenience of long-distance travel could increase the incidence of local cases through respiratory droplets (e.g., from exhalation sneeze) and contact routes[21]. And the possibility of transmission by asymptomatic carriers could further enhance it's spread[21]. Such occurrence of both imported and domestically transmitted cases has significant potential for psychological contagion, resulting in widespread fear, helplessness, and a variety of adverse mental health outcomes[7].

The findings of this study show that immigrant women were significantly more likely to develop PPD compared to local women, which is consistent with the findings of previous studies that immigrant women were at increased risk of depression prenatally and postnatally[22]. Because the utility and allocation of public resources are based on household registration policy, immigrants do not have the same rights and benefits as local residents in a variety of areas, such as healthcare, social services, off-spring education and housing. Social exclusion resulting from this policy as well as other economic and cultural factors contribute to the adverse mental health consequences of immigrants. We also reported a strong association between social support and PPD which is consistent with a previous study [19]. One possible reason was that during the pandemic, the pace of the whole society was slowed down. This could have been created more opportunities and time among family member to support and care for each other. In addition, there was increased communication with community members and friends because people were asked to avoid going to public places and stay at home. These positive impacts may have helped women cope with the challenges surrounding the postpartum period.

In addition, we explored the relationship between mental health and physical symptoms as well as concerns about COVID-19 among delivery women during the pandemic. The presence of a persistent fever was significantly associated with PPD. Similarly, a higher perceived likelihood of contracting COVID-19 during the current outbreak was significantly associated with PPD. Amid this moment, women were bombarded with various discomforting network information about COVID-19, including clinical signs, routes of transmission, medicines or vaccines, et al. After presentation to the clinic with a fever, they may be sent home, hospitalized for further observation, or quarantined. Some evidence suggests that up-to-date and accurate information during the pandemic are responsible for lower levels of stress, anxiety and depression[7]. Moreover, higher satisfaction with the health information received by the whole population is contributing to reduce the impact of rumors and this may avoid adverse psychological reactions.

Also, our findings suggest that precautionary measures adopted to prevent the spread of COVID-19 have had a positive psychological effect. Women who had avoided the sharing of utensils (e.g, chopsticks) during meals were significantly less likely to develop PPD. There has been no evidence to suggest the reason for the difference, but saliva is one of the most common ways for food-borne diseases to spread. Communal eating habits have been a part of Chinese culture for centuries. Chinese people prefer to use chopsticks to pick up food commonly shared in the table during meal times to show their respect and cleanness. The experiences of the SARS-COV epidemic in 2013 may have changed the perception of the general public towards precautionary measures. Many cities in China have already launched initiatives to order separate meals. As this healthy habit is related to people's health and safety during the pandemic, it's not unexpected that avoidance of sharing utensils during meals is significantly associated with less psychological impact on women.

Our findings will provide vital guidance for health care professionals to tackle mental health issues among delivery women during a pandemic. First, health authorities need to identify high-risk groups such as immigrants for early intervention. Second, accurate and up-to-date health information during the pandemic need to be provided, especially on the number of recovered individuals to alleviate the concern and reduce the impact of rumors. Third, government and health authorities need to expand public awareness of healthy lifestyle.

This study has several limitations. First, the cross-sectional study using snowballing sampling strategy did not allow for establishing causal relationships between PPD and the factors associated with it. Second, a self-reported scale was employed to define PPD instead of clinician administered structured interview. Participants might have provided responses they feel socially desirable. Third, the short time frame might not allow us to observe it's long-term impacts on mental health among delivery women.

Conclusion

During the COVID-19 pandemic in China, about one-third of the women reported PPD. Immigrants, persistent fever, lower social support and higher level of concerning about contracting COVID-19 were associated with higher risk of PPD. Certain precautionary measures was associated with a lower risk of PPD. Since the COVID-19 is going on, our findings can be used to formulate psychological interventions to minimize depression and improve psychological resilience among women following childbirth.

Abbreviations

COVID-19: 2019 Coronavirus Disease; PPD: postpartum depression; EPDS: Edinburgh Postnatal Depression Scale; WHO: World Health Organization;  SARS: Severe Acute Respiratory Syndrome

Declarations

Ethics approval and consent to participate

Ethical approval was obtained from the Research Ethics Board of Southern Medical University on March 10th, 2020. Participants were provided with online information sheet and asked to sign a consent form prior to the investigations being undertaken.

Consent for publication

Not applicable

Availability of data and materials

The datasets used and/or analyzed during the current study are available

from the corresponding author on reasonable request.

Competing interests

The authors declare that they have no competing interests.

Funding

Not applicable

Authors’ contributions

Conceptualization, YL, PL and RX; Data curation, YL, PL and RX; Formal analysis, YL, PL and RX; Methodology, YL; Project administration, RX; Resources, YW; Supervision, YL and RX; Visualization, SS; Writing – original draft, PL; Writing – review & editing, RX. All authors have read and approved the manuscript.

Acknowledgements

We are grateful to the delivery women who took their time to participate in the study.

References

  1. Wang C, Horby PW, Hayden FG, Gao GF. A novel coronavirus outbreak of global health concern. Lancet. 2020; 395: 470-3.
  2. Nishiura H, Jung SM, Linton NM, Kinoshita R, Yang Y, Hayashi K,Et al. The extent of transmission of novel coronavirus in Wuhan, China, 2020. J Clin Med. 2020; 9(2).
  3. Mahase E. China coronavirus: WHO declares international emergency as death toll exceeds 200. BMJ. 2020; 368: m408.
  4. National Health Commission of People’s Republic of China. National Health Commission’s Briefing on the Pneumonia Epidemic Situation. Available online: http://www.nhc.gov.cn/xcs/yqfkdt/gzbd_index.shtml (accessed on 19 March 2020).
  5. Lu YC, Shu BC, Chang YY, Lung FW. The mental health of hospital workers dealing with severe acute respiratory syndrome. Psychother Psychosom. 2006;75: 370-5.
  6. Rubin GJ, Potts HW, Michie S. The impact of communications about swine flu (influenza A H1N1v) on public responses to the outbreak: results from 36 national telephone surveys in the UK. Health Technol Assess. 2010; 14(34):183-266.
  7. Wang C, Pan R, Wan X, Tan Y, Xu L, Ho CS, Ho RC. Immediate psychological responses and associated factors during the initial stage of the 2019 coronavirus disease (COVID-19) epidemic among the general population in China. Int J Environ Res Public Health. 2020; 17.
  8. Yim IS, Tanner Stapleton LR, Guardino CM, Hahn-Holbrook J, Dunkel Schetter C. Biological and psychosocial predictors of postpartum depression: systemic review and call for integration. Annu Rev Clin Psycho. 2015; 11:99-137.
  9. Abdollahi F, Zarghami M. Effect of postpartum depression on women's mental and physical health four years after childbirth. EastMediterr Health J. 2018; 24:1002-1009.
  10. Faisal-Cury A, Menezes PR, d'Oliveira AF, Schraiber LB, Lopes CS. Temporal relationship between intimate partner violence and postpartum depression in a sample of low income women. Matern Child Health J. 2013; 17(7):1297-1303.
  11. Schaller M, Murray DR, Bangerter A. Implications of the behavioral immune system for social behavior and human health in the modern world. Philos. Trans. Biol. Sci. 2015; 370(1669): 1-10.
  12. Guangdong statistical information: The data of the Sixth National
    Population Census of Guangzhou city. http://www.gzstats.gov.cn/pchb/
    rkpc6/. (Accessed on 4 Jan 2020).
  13. Gaskin CJ, Happell B. Power, effects, confidence, and significance: an investigation of statistical practices in nursing research. Int J Nurs Stud.
    2014;51(5):795-806.
  14. Lee DT, Yip SK, Chiu HF, Leung TY, Chan KP, Chau IO, et al. Detecting postnatal depression in Chinese women. Validation of the Chinese version of the Edinburg Postnatal Depression Scale. Br J Psychiatry. 1998; 172: 433-437.
  15. Uher R, Farmer A, Maier W, Rietchel M, Hauser J, Marusic A, et al. Measuring depression:comparison and intergration of three scales in the GENDEP study. Psychol Med. 2008; 38(2): 289-300.
  16. Chen TL, Tai CJ, Chu YR, Han KC, Lin KC, Chien LY. Cultural factors and social support related to breastfeeding among immigrant mothers in Taipei City, Taiwan. J Hum Lact. 2011; 27(1):41-48.
  17. Armony-Sivan R, Shao J, Zhao G, Xu G, Zhou M, Zhan J, et al. No relationship between maternal iron status and postpartum depression in two samples in China. J Pregnancy. 2012; 2012:521431.
  18. Ding G, Niu L, Vinturache A, Zhang J, Lu M, Gao Y, et al. "Doing the month" and postpartum depression among Chinese women: A Shanghai prospective cohort study. Women Birth. 2020; 33(2):e151-e158.
  19. Deng AW, Xiong RB, Jiang TT, Luo YP, Chen WZ. Prevalence and risk factors of postpartum depression in a population-based sample of women in Tangxia community, Guangzhou. Asian Pac J TropMed. 2014; 7(3): 244-249.
  20. Klainin P, Arthur DG. Postpartum depression in Asian culture: a literature review. Int J Nurs Stud. 2009; 16(10): 1355-1373.
  21. Chen LD. Effect of ambient temperature and humidity on droplet lifetime-A perspective of exhalation sneeze droplets with COVID-19 virus transmission. Int J Hyg Environ Health. 2020; 229:113568.
  22. Chen J, Cross WM, Plummer V, Lam L, Tang S. A systematic review of prevalence and risk factors of postpartum depression in Chinese immigrant women. Women Birth. 2019; 32:487-92.