Dear Editor,
My coauthors and I thank you for your comments and suggestions concerning our manuscript
“Determinants of breastfeeding self-efficacy among postpartum women in rural China:
A cross-sectional study” (No: PONE-D-21-31115). We also deeply appreciate the thoughtful
comments from the reviewers, which have improved the paper.
We have studied the comments carefully and have revised our paper accordingly. This
letter provides point-by-point responses to each comment and summarizes relevant changes
in the manuscript. These changes are highlighted yellow in the revised manuscript.
Primary changes to the paper include the following:
• We have revised the title of the manuscript to “Determinants of breastfeeding self-efficacy
among postpartum women in rural China: A cross-sectional study” and replaced “predictors”
with “determinants” throughout the revised manuscript.
• We have reworked the Introduction section to ensure a brief literature gap and bring
the landscapes of Chinese postpartum women’s breastfeeding self-efficacy.
• We have updated a detailed description of the process of selecting the actual participants
of the study in the Methods section.
• We have reworked the Conclusion section to make it clearly according to our findings.
• We have also obtained the assistance of an editor to correct language usage flaws
including punctuations, wordings, spelling and grammar errors throughout the manuscript.
The material in the manuscript has not and will not be offered elsewhere for possible
publication as long as it is under consideration by PLOS ONE.
Once again, we are very grateful for your consideration of our work. We look forward
to receiving your feedback on the updated manuscript.
With best regards,
Huan Zhou
Professor, Chair, Department of Health Behavior and Social Medicine
West China School of Public Health, Sichuan University
Email: zhouhuan@scu.edu.cn
Editor’s comments to author:
Editor Comment: Dear authors on your scholarly work; you have brought an important
study. However, the manuscript has some language usage flaws including punctuations,
wordings, spelling and grammar errors. These problems are found throughout the manuscript.
Moreover, there are several methodological limitations as the reviewer raised. Therefore,
kindly address all the reviewers’ concerns and also please make repeated proof-reading
before resubmitting the manuscript. This would help increase the readership of the
manuscript if published.
Response to Editor Comment:
Thank you for your time and consideration. We have addressed each reviewer comment
and have revised the manuscript according to the reviewers’ comments. Specifically,
we have:
• Revised the title of the manuscript to “Determinants of breastfeeding self-efficacy
among postpartum women in rural China: A cross-sectional study” and replaced “predictors”
with “determinants” throughout the revised manuscript;
• Reworked the Introduction section to include a brief literature review on the current
research landscape of women’s breastfeeding self-efficacy in China and more clearly
identify gaps in the literature;
• Added a detailed description of our process for selecting study participants in
the Methods section;
• Reworked the Conclusion section to speak more closely to the specific findings of
our study.;
• Obtained the assistance of an editor to correct language usage flaws including punctuations,
wordings, spelling and grammar errors throughout the manuscript.
In the following pages, we provide a point-by-point response to the reviewers’ comments,
including specific changes made to the revised manuscript. All changes are highlighted
yellow in the revised manuscript.
Response to Reviewer 1
General Comment1: First I want to thank you for the chance to review this interesting
manuscript entitled “Predictors of breastfeeding self-efficacy among postpartum women
in rural China: A cross-sectional study”. The study presented in this manuscript is
on an important and timely topic. It presents pertinent information for the audience
of this journal and would be of interest to its readership. I will first make some
general comments and then add specific areas under each section suggested for revision.
Response to General Comment:
Thank you for your comments and recognizing the value of our research. We have carefully
considered your comments and revised our paper accordingly.
General Comment2: Before publication, the manuscript will need clearness in the methods
and results sections. The authors could use the assistance of an editor for basic
grammar and sentence structure corrections as well.
Response to General Comment:
Thank you for pointing this out. We have reworked the Methods and Results sections
to ensure clearness (for specific changes, please see our responses to comment 2 in
“Response to Reviewer 1” and comments 5-12 in “Response to Reviewer 2”). We have also
obtained the assistance of an editor to correct errors in grammar and sentence structure
throughout the manuscript. Every change in the manuscript has been highlighted in
yellow.
Comment 1: Introduction: Several sections of the introduction need an attention. Readers
will expect to see in brief, the literature gap that authors wanted to fill. Additionally,
please rewrite and modify your introduction part by removing the frequently misused
words.
Response: Thank you for pointing this out. We have modified the Introduction part
to remove misused words. All changes are highlighted yellow in the revised manuscript.
We have also clarified the gaps in the existing literature that our study seeks to
fill in Introduction section of the revised manuscript on page 6-8, lines 111-166
(revised text in italics):
“Empirical studies have found evidence linking factors such as positive breastfeeding
experiences, breastfeeding knowledge, breastfeeding attitude, social support, and
postpartum depression, to BSE [10,11]. However, negative performance accomplishments
(i.e., difficulties in successfully breastfeeding) have been less studied internationally,
leaving a gap to be filled in the literature.
In addition, because cultural context may influence self-efficacy and related factors,
there is a need for more studies of BSE in various LMIC settings, particularly those
with documented low rates of breastfeeding. One understudied setting with low rates
of breastfeeding is rural China. China is the most populous country in the world,
and more than 60% of the country’s population lives in rural areas. Although the weighted
prevalence for breastfeeding in China is 79.6%, only 20.8% of infants are breastfed
exclusively for six months [12]. In rural China, exclusive breastfeeding rates among
children younger than six months are even lower: a survey in 26 poor, rural counties
of China found that the rate of exclusive breastfeeding was only 58.3% among newborn
infants, declining further to 29.1% in those aged three to four months and 13.6% in
those aged five to six months [13].
Little is known about BSE in rural China; however, previous studies have measured
the level of BSE among postpartum women in urban areas of China. These studies have
found that the mean scores of items on the Breastfeeding Self-Efficacy Scale in Hong
Kong, Shanghai and Guangzhou were 3.92 [14], 3.67 [15] and 3.38 [16], respectively.
Interventions targeting BSE have also been shown to be effective in promoting breastfeeding
practices among postpartum women in urban areas in China [17,18]. Because self-efficacy
is a psychological category that is related to many socio-cultural factors, however,
the results of international studies and studies in China’s urban areas are not necessarily
representative of rural China, and the lack of studies examining BSE among postpartum
women in rural China presents another gap in the existing literature. Given the low
rates of breastfeeding in rural China and the important role that BSE plays in breastfeeding
behavior in the international literature, research on BSE in rural China is needed
to inform public health policies and improve breastfeeding outcomes. Therefore, this
study aims to describe the BSE of postpartum women in rural China, and to identify
the determinants of BSE among postpartum women in rural China based on the Dennis
BSE framework.”
REFERENCES:
14. Ip WY, Gao LL, Choi KC, Chau JPC, Xiao Y. The Short Form of the Breastfeeding
Self-Efficacy Scale as a Prognostic Factor of Exclusive Breastfeeding among Mandarin-Speaking
Chinese Mothers. J Hum Lact. 2016;32(4):711–20. PMID: 27474407
15. Li T, Guo N, Jiang H, Eldadah M. Breastfeeding Self-Efficacy Among Parturient
Women in Shanghai: A Cross-Sectional Study. J Hum Lact. 2019 Aug 5;35(3):583–91. http://journals.sagepub.com/doi/10.1177/0890334418812044 PMID: 30517822
16. Dai X, Dennis CL. Translation and validation of the breastfeeding Self-Efficacy
Scale into Chinese. J Midwifery Women’s Heal. 2003;48(5):350–6. https://doi.org/10.1016/s1526-9523(03)00283-6 PMID: 14526349
17. Wu DS, Hu J, Mccoy TP, Efird JT. The effects of a breastfeeding self-efficacy
intervention on short-term breastfeeding outcomes among primiparous mothers in Wuhan,
China. J Adv Nurs. 2014;70(8):1867–79. https://doi.org/10.1111/jan.12349 PMID: 24400967
18. Liu Y, Li N, Mei Z, Li Z, Ye R, Zhang L, et al. Effects of prenatal micronutrients
supplementation timing on pregnancy-induced hypertension: Secondary analysis of a
double-blind randomized controlled trial. Matern Child Nutr. 2021;(January):e13157.
https://doi.org/10.1111/mcn.13157 PMID: 33594802
Comment 2: Methods: The method part needs more amendment. Particularly, the measurement
part should be revised and shortened for more simplicity. Regarding the data collection,
you have mention whether questionnaire is adapted or adopted, and say something about
the validity and reliability of your tool.
Response: Thank you for bringing this to our attention. We have shortened the measurement
part of the methods and added details on the validity and reliability of each tool
in the Methods section of the revised manuscript on page 11-15, lines 226-328 (revised
text in italics). If the reviewer still feels that this section is too long, we are
happy to move details on the measurements to a supplemental appendix.
“The “BSE” outcome was measured using the Chinese (Mandarin) version of the Breastfeeding
Self-Efficacy Scale-Short Form (BSES-SF), which has been validated in mainland China
with a Cronbach’s alpha of 0.94 [5]. The BSES-SF is comprised of 14 positively-worded
statements regarding mothers’ self-efficacy in their ability to breastfeed [16, 21].
In addition to these 14 items, we also included two items (“I can always exclusively
breastfeed without my child receiving even a drop of water;” and “I can always stop
someone from trying to feed my child liquids or foods other than breast milk before
six months of age”) adapted from a BSE scale by Boateng et al. [22] to better measure
maternal self-efficacy in exclusive breastfeeding in rural China. Two experienced
independent researchers fluent in English and Chinese translated the two additional
items into Chinese (Mandarin) before addition. Combining the 14 items from the BSES-SF
with the two items from Boateng et al [22], the BSE questionnaire in this study includes
16 items measured on a 5-point Likert-type scale with answers ranging from not at
all confident (1) to always confident (5). Responses were summed to calculate a total
score ranging from 16 to 80, with higher scores indicating higher BSE. In the current
study, the Cronbach’s alpha for this questionnaire is 0.88.”
After an extensive literature review, the research team developed a “Breastfeeding
Problems Questionnaire” that encompasses the most prevalent problems associated with
breastfeeding [23-31]. This questionnaire contains 19 items that measures concerns
or difficulties of mothers during the first two weeks of breastfeeding. Each question
in the questionnaire was answered with a “yes” or “no” answer. All items of the Breastfeeding
Problems Questionnaire are presented in S1 Table.
Breastfeeding attitudes were assessed using the Iowa Infant Feeding Attitude Scale
(IIFAS) [32]. This 17-item scale covers various dimensions of infant feeding attitudes,
which mothers were asked to rank on a 5-point Likert scale from strongly disagree
(1) to strongly agree (5). Higher scores indicate a more positive attitude to breastfeeding.
The tool has been found to be reliable and valid, with a Cronbach’s alpha of 0.62
in mainland China [27]. In the present study, the Cronbach’s alpha is 0.56.
The “Breastfeeding Knowledge Questionnaire” was adapted and modified from the Breastfeeding
Knowledge Questionnaire-Short Form (BFKQ-SF) [33] by the research team to fit the
setting of rural China. This questionnaire has 12 items. Each correct answer is scored
as 1, while wrong or unclear answers are scored as 0. The total score ranges from
0-12, with higher scores indicating greater knowledge about breastfeeding. All items
of the Breastfeeding Knowledge Questionnaire can be found in S2 Table.
Family support for breastfeeding perceived by the mother was measured using a scale
designed by Zhu et al. [34]. The scale contains nine items, with response ranked on
a Likert scale ranging from strongly disagree (1) to strongly agree (4). Mothers with
scores of 27 or higher are considered to have positive support. The scale has been
evaluated for reliability and validity and has been proven to be effective at measuring
family support for the breastfeeding of mothers [29]. In the current study, the Cronbach’s
alpha is 0.78.
The Multidimensional Scale of Perceived Social Support (MSPSS) was used to measure
perceived social support (unrelated to breastfeeding) from family, friends and significant
others [35]. This scale contains 12 items, with responses ranked on a 7-point Likert
scale from strongly disagree (1) to strongly agree (7). Scores range from 12 to 84,
with higher scores indicating higher levels of perceived social support [35]. In the
present study, the Cronbach’s alphas for the MSPSS total scale and family, friends,
and significant other subscales are 0.89, 0.82, 0.85, and 0.80, respectively.
The 21-item version of the Depression Anxiety Stress Scales (DASS-21) is a 21-item
questionnaire first presented by Lovibond in 1995 that uses seven questions to measure
each of the symptoms of stress, anxiety, and depression [36]. This questionnaire is
designed as a Likert questionnaire, with item scores ranging from zero to three indicating
different levels of severity of a particular symptom experienced over the past week.
In the present study, the Cronbach’s alpha for the DASS-21 total scale and depression,
anxiety, and stress subscales are 0.91, 0.82, 0.71, and 0.81, respectively.
The Edinburgh Postnatal Depression Scale (EPDS) is a 10-item instrument developed
to identify mothers who may be experiencing postpartum depression [37]. Each item
has four possible answers, with item scores ranging from zero to three. Total possible
scores range from 0 to 30, with higher scores indicating a more elevated risk for
postpartum depression [38]. The cutoff point for assessing depression varies by country,
with an appropriate EPDS cutoff score of >10 for postnatal depression in China. In
the current study, the Cronbach’s alpha is 0.79.”
Comment 3: Conclusion: Your conclusion is somewhat vague. Better if you write it clearly
according to your finding.
Response: Thank you for pointing this out. We have updated the sentences in the Conclusion
section on page 39, line 659-674 of the revised manuscript (revised text in italics):
“The findings indicate that BSE among postpartum women in rural China is relatively
low compared to urban China, pointing to a need for strategies to promote BSE. Positive
attitudes towards breastfeeding, as well as social support and family support for
breastfeeding, contribute to greater BSE in rural China. In contrast, difficulties
with breastfeeding are associated with reduced BSE. Researchers and practitioners
should investigate effective strategies to improve social support for breastfeeding,
promote positive attitudes towards breastfeeding, and provide women with education
on breastfeeding techniques and actionable solutions to breastfeeding problems. With
greater effort placed on these now-identified critical points, BSE and breastfeeding
practices could be meaningfully improved in rural China.”
Comment 4: References
Please, review your references and adjust according to the PLOS specifications.
Response: We have reviewed and adjusted our references to ensure that they are in
compliance with PLOS specifications. All changes are highlighted yellow in the revised
manuscript.
Comment 5: Since PLOS ONE does not copyedit accepted manuscripts, the authors should
employ an editor to assist with ambiguous and grammatical errors that appear throughout
the text. There are multiple grammar and sentence structure corrections that are required
prior to publication.
Response: Thank you again for bringing this to our attention. We have also obtained
the assistance of an editor to correct errors in grammar and sentence structure throughout
the manuscript. Every change in the manuscript has been highlighted in yellow.
Response to Reviewer 2
Comment 1:In the title should be used an appropriate word/term in line with epidemiological
study deign, which is predictors leads to case-control rather than cross-sectional
study. Please modify it?
Response: Thank you for pointing this out. This study is a cross-sectional study,
and the appropriate term is “determinants” rather than “predictors”. We have revised
the title of the manuscript to read as follows (revised text in italics):
“Determinants of breastfeeding self-efficacy among postpartum women in rural China:
A cross-sectional study”
Comment 2:In the abstract section line 37-39, all of the factors inversely associated
with the predictors of BSE, but we are interpreting with a wrong way. Please see and
correct accordingly.
Response: In our study, stepwise multiple linear regression analysis was used to explore
the factors influencing BSE. The results of the regression found that six variables
explained 24% of the variance in BSE. The six variables include positive breastfeeding
attitudes, social support from significant others, family support for breastfeeding,
the child having trouble sucking or latching onto the breast, the mother not producing
enough milk and the mother’s milk taking too long to secrete.
Among these variables, the regression coefficients for breastfeeding attitudes (β=
0.088, P< 0.001), breastfeeding family support (β= 0.168, P< 0.001), and social support
from significant others (β= 0.219, P< 0.001), were positive, indicating that higher
scores on these variables were associated with higher BSE. In contrast the regression
coefficients of the three variables related to breastfeeding problems, including the
child having trouble sucking or latching onto the breast (β= -0.170, P< 0.001), not
producing enough milk (β= -0.148, P< 0.001) and milk taking too long to secrete (β=
-0.173, P< 0.001), were negative, indicating that difficulties with breastfeeding
were associated with reduced BSE. We have updated the sentence in the Abstract section
of the revised manuscript page 2-3, lines 36-43 (revised text in italics):
“Participants reported a moderate level of breastfeeding self-efficacy, with an item
mean score of 3.50. Self-efficacy was lowest for exclusive breastfeeding. Breastfeeding
attitudes (β= 0.088, P< 0.001), breastfeeding family support (β= 0.168, P< 0.001),
and social support from significant others (β= 0.219, P< 0.001) were positively associated
with breastfeeding self-efficacy. Breastfeeding problems, including trouble with latching
(β= -0.170, P< 0.001), not producing enough milk (β= -0.148, P< 0.001), and milk taking
too long to secrete (β= -0.173, P< 0.001) were negatively associated with breastfeeding
self-efficacy.”
Comment 3: Your conclusion should be consider drawing out the “so whats” of your findings
to drive the points, but we are stated your conclusion that are the roles of health
professionals.
Response: Thank you for bringing this to our attention. We have updated the sentences
in the Conclusion section on page 39, line 659-674 of the revised manuscript (revised
text in italics):
“The findings indicate that BSE among postpartum women in rural China is relatively
low compared to urban China, pointing to a need for strategies to promote BSE. Positive
attitudes towards breastfeeding, as well as social support and family support for
breastfeeding, contribute to greater BSE in rural China. In contrast, difficulties
with breastfeeding are associated with reduced BSE. Researchers and practitioners
should investigate effective strategies to improve social support for breastfeeding,
promote positive attitudes towards breastfeeding, and provide women with education
on breastfeeding techniques and actionable solutions to breastfeeding problems. With
greater effort placed on these now-identified critical points, BSE and breastfeeding
practices could be meaningfully improved in rural China.”
Comment 4: Introduction; Your manuscript missing a section which generally describes
the breastfeeding self-efficacy among postpartum women landscapes in China. What is
breastfeeding self-efficacy? Why suggests breastfeeding self-efficacy among postpartum
women? Has breastfeeding self-efficacy helped elsewhere? What is the general breastfeeding
self-efficacy rate? All these you can touch on briefly?
Response: Thank you for pointing this out. The concept of breastfeeding self-efficacy
was developed by Dennis and refers to the level of confidence mothers have in their
ability to breastfeed their babies. Breastfeeding self-efficacy plays an important
role in postpartum women’s breastfeeding behavior. Interventions targeting breastfeeding
self-efficacy have proven to be effective in promoting breastfeeding practices among
postpartum women in urban areas in China. Studies have measured the level of breastfeeding
self-efficacy among postpartum women in urban areas of China, and the results showed
that the mean scores of items on the Breastfeeding Self-Efficacy Scale in Hong Kong,
Shanghai and Guangzhou were: 3.92, 3.67 and 3.38 respectively.
We have added literature on breastfeeding self-efficacy internationally to the Introduction
section of the revised manuscript page 4-5, lines 77-88 (revised text in italics):
“The international literature has shown that breastfeeding self-efficacy (BSE) is
one of the most crucial, modifiable factors influencing postpartum women’s breastfeeding
behavior [5,6]. BSE is derived from the self-efficacy concept of Bandura [7]. Dennis
developed a framework for BSE 1999 [8], defining BSE as a mother’s perceived ability
to breastfeed her child. In Dennis’ BSE framework, BSE influences a mother’s breastfeeding
decisions, including the decision to breastfeed, how much effort should be given to
breastfeeding, and how to respond to challenges during breastfeeding [5,6,8]. High
BSE has also been associated with outcomes such as exclusive breastfeeding among postpartum
women in the first 6 months after birth [9].”
We have described the landscape of Chinese postpartum women’s breastfeeding self-efficacy
to the Introduction section of the revised manuscript page 7-8, lines 142-155 (revised
text in italics):
Little is known about BSE in rural China; however, previous studies have measured
the level of BSE among postpartum women in urban areas of China. These studies have
found that the mean scores of items on the Breastfeeding Self-Efficacy Scale in Hong
Kong, Shanghai and Guangzhou were 3.92 [14], 3.67 [15] and 3.38, [16] respectively.
Interventions targeting BSE have also been shown to be effective in promoting breastfeeding
practices among postpartum women in urban areas in China [17,18]. Self-efficacy is
a psychological category that is related to many socio-cultural factors, and the results
of foreign and other domestic studies cannot be directly used to guide the practice
in rural China. The lack of studies examining BSE among postpartum women in rural
China presents another gap in the existing literature. Given the low rates of breastfeeding
in rural China and the important role that BSE plays in breastfeeding behavior in
the international literature, research on BSE in rural China is needed to inform public
health policies and improve breastfeeding outcomes.”
REFERENCES:
5. Glassman ME, McKearney K, Saslaw M, Sirota DR. Impact of breastfeeding self-efficacy
and sociocultural factors on early breastfeeding in an urban, predominantly dominican
community. Breastfeed Med. 2014;9(6):301–7. https://doi.org/10.1089/bfm.2014.0015 PMID: 24902047
6. Lau CYK, Lok KYW, Tarrant M. Breastfeeding Duration and the Theory of Planned Behavior
and Breastfeeding Self-Efficacy Framework: A Systematic Review of Observational Studies.
Matern Child Health J. 2018;22(3):327–42. http://dx.doi.org/10.1007/s10995-018-2453-x PMID: 29427014
7. Bandura A. Self-efficacy: Toward a unifying theory of behavioral change. Psychol
Rev. 1977;84(2):191–215. http://doi.apa.org/getdoi.cfm?doi=10.1037/0033-295X.84.2.191 PMID: 847061
8. Dennis C-L. Theoretical Underpinnings of Breastfeeding Confidence: A Self-Efficacy
Framework. J Hum Lact. 1999 Sep;15(3):195–201. http://journals.sagepub.com/doi/10.1177/089033449901500303 PMID: 10578797
9. Jama NA, Wilford A, Masango Z, Haskins L, Coutsoudis A, Spies L, et al. Enablers
and barriers to success among mothers planning to exclusively breastfeed for six months:
A qualitative prospective cohort study in KwaZulu-Natal, South Africa. Int Breastfeed
J. 2017;12(1):1–13. https://doi.org/10.1186/s13006-017-0135-8 PMID: 29026431
14. Ip WY, Gao LL, Choi KC, Chau JPC, Xiao Y. The Short Form of the Breastfeeding
Self-Efficacy Scale as a Prognostic Factor of Exclusive Breastfeeding among Mandarin-Speaking
Chinese Mothers. J Hum Lact. 2016;32(4):711–20. PMID: 27474407
15. Li T, Guo N, Jiang H, Eldadah M. Breastfeeding Self-Efficacy Among Parturient
Women in Shanghai: A Cross-Sectional Study. J Hum Lact. 2019 Aug 5;35(3):583–91. http://journals.sagepub.com/doi/10.1177/0890334418812044 PMID: 30517822
16. Dai X, Dennis CL. Translation and validation of the breastfeeding Self-Efficacy
Scale into Chinese. J Midwifery Women’s Heal. 2003;48(5):350–6. https://doi.org/10.1016/s1526-9523(03)00283-6 PMID: 14526349
17. Wu DS, Hu J, Mccoy TP, Efird JT. The effects of a breastfeeding self-efficacy
intervention on short-term breastfeeding outcomes among primiparous mothers in Wuhan,
China. J Adv Nurs. 2014;70(8):1867–79. https://doi.org/10.1111/jan.12349 PMID: 24400967
18. Liu Y, Li N, Mei Z, Li Z, Ye R, Zhang L, et al. Effects of prenatal micronutrients
supplementation timing on pregnancy-induced hypertension: Secondary analysis of a
double-blind randomized controlled trial. Matern Child Nutr. 2021;(January):e13157.
https://doi.org/10.1111/mcn.13157 PMID: 33594802
Comment 5: Method; line 123-124: As stated above when use the term ‘predictors’ the
design should be case-control.
Response: Thank you again for raising this point. As mentioned above, our study is
a cross-sectional descriptive study. We incorrectly used the term “predictors”. We
have replaced “predictors” with “determinants” throughout the revised manuscript and
highlighted all revisions.
Comment 6: Sample; line 139: why we use survey for this particular study, and also
how to select the actual participant of the study. Please elaborate it?
Response: In this comment, the reviewer makes two points. The first point asks why
we use a survey for this particular study. The second point asks about how we select
the study participants of the study. For clarity, we will respond to each point separately.
In response to the first point:
This study used a large-scale cross-sectional survey to collect data. This research
design was based on two main considerations. First, this study focuses on understanding
the status of breastfeeding self-efficacy among postpartum women in rural China. A
large-scale survey gives the research team adequate statistical power to identify
population-level trends and correlations. Second, as the target population of this
study is postpartum women in rural areas, the survey research method can help us to
obtain first-hand research data directly from postpartum women in rural areas of China.
We have added this information to the Research Design subsection of the Methods section
on page 9, lines 169-177 in the revised manuscript (revised text in italics):
“This study was conducted using a using a multi-stage random cluster sampling design
and cross-sectional survey to assess BSE among women 0-6 months postpartum in rural
China and to identify determinants of BSE based on the Dennis BSE framework. This
research design was based on two main considerations. First, a large-scale survey
gives the research team adequate statistical power to identify population-level trends
and correlations. Second, the survey research method can help us to obtain first-hand
research data directly from postpartum women in rural areas of China.”
In response to the second point:
The research team implemented a three-step sampling protocol to select the participants
for the study. First, four nationally-designated poverty counties were selected within
the sample prefecture. Second, sample townships were chosen within each sample county.
To select townships representative of typical rural areas, the sampling frame excluded
non-rural townships and rural townships with populations of less than 10,000. Of the
remaining townships, 20 townships per county were randomly selected by a computer-generated
random numbers method, resulting in a total of 80 townships. Finally, a list of all
mothers with registered births within the past 6 months of the survey was obtained
from the township health center in each sample township. A total of 842 postpartum
women were identified and contacted by the research team, with the assistance of local
township health center doctors or village doctors to invite.
In total, 55 eligible postpartum women failed to enroll in the study due to out-migration
or travel at the time of the survey, intellectual disability or mental illness that
prevented ability to give informed consent, or refusal to participate. Of the 842
lactating postpartum women who enrolled in this study, 787 postpartum women completed
all aspects of the questionnaire, a response rate of 93.5%.
We have updated a detailed description of the process of selecting the actual participants
of the study in the Methods section of the paper, page 10-11, lines 192-208 in the
revised manuscript (revised text in italics):
“The research team sampled rural mothers within the 0-6 months postpartum period living
in one prefecture of Sichuan province, China, following a multi-stage cluster sampling
protocol. First, four nationally-designated poverty counties were selected within
the sample prefecture. Second, sample townships were chosen within each sample county.
To select townships representative of typical rural areas, the sampling frame excluded
non-rural townships and rural townships with populations of less than 10,000. Of the
remaining townships, 20 townships per county were randomly selected by a computer-generated
random numbers method, resulting in a total of 80 townships. Finally, a list of all
mothers with registered births within the past 6 months of the survey was obtained
from the township health center in each sample township. A total of 842 postpartum
women were identified and contacted by the research team, with the assistance of local
township health center doctors or village doctors to invite. In total, 55 eligible
postpartum women failed to enroll in the study due to out-migration or travel at the
time of the survey, intellectual disability or mental illness that prevented ability
to give informed consent, or refusal to participate. Of the 842 lactating postpartum
women who enrolled in this study, 787 postpartum women completed all aspects of the
questionnaire, with a response rate of 93.5%.”
Comment 7: Line 141-150: These sentences are unclear. Kindly revisit.
Response: Thank you for pointing this out. We have updated the sentence in the Methods
section of the revised manuscript page 10-11, lines 192-208 (revised text in italics):
“The research team sampled rural mothers within the 0-6 months postpartum period living
in one prefecture of Sichuan province, China, following a multi-stage cluster sampling
protocol. First, four nationally-designated poverty counties were selected within
the sample prefecture. Second, sample townships were chosen within each sample county.
To select townships representative of typical rural areas, the sampling frame excluded
non-rural townships and rural townships with populations of less than 10,000. Of the
remaining townships, 20 townships per county were randomly selected by a computer-generated
random numbers method, resulting in a total of 80 townships. Finally, a list of all
mothers with registered births within the past 6 months of the survey was obtained
from the township health center in each sample township. A total of 842 postpartum
women were identified and contacted by the research team, with the assistance of local
township health center doctors or village doctors to invite. In total, 55 eligible
postpartum women failed to enroll in the study due to out-migration or travel at the
time of the survey, intellectual disability or mental illness that prevented ability
to give informed consent, or refusal to participate. Of the 842 lactating postpartum
women who enrolled in this study, 787 postpartum women completed all aspects of the
questionnaire, with a response rate of 93.5%.”
Comment 8: Line 181: I am not sure you can use the word “extensive” as your manuscript
has not really demonstrated the “extensiveness” of your approach.
Response: Thank you for pointing this out. We apologize for the inadequate references
provided leading to errors in wording, and we have added references to this section
of the revised manuscript page 13, lines 258-260 (revised text in italics):
“After an extensive literature review, the research team developed a Breastfeeding
Problems Questionnaire that encompasses the most prevalent problems associated with
breastfeeding [23-31].”
REFERENCES:
23. Demirci JR, Bogen DL. An Ecological Momentary Assessment of Primiparous Women’s
Breastfeeding Behavior and Problems from Birth to 8 Weeks. J Hum Lact. 2017; 33(2):
285-295. https://doi.org/10.1177/0890334417695206 PMID: 28418803
24. Kronborg H, Væth M. How Are Effective Breastfeeding Technique and Pacifier Use
Related to Breastfeeding Problems and Breastfeeding Duration? Birth. 2009; 36(1):34-42.
https://doi.org/10.1111/j.1523-536X.2008.00293.x PMID: 19278381
25. Karaçam Z, Sağlık M. Breastfeeding problems and interventions performed on problems:
Systematic review based on studies made in Turkey. Turk Pediatri Arsivi. 2018; 53(3).
https://doi.org/10.5152/TurkPediatriArs.2018.6350 PMID: 30459512
26. Talbert AW, Ngari M, Tsofa B, Mramba L, Mumbo E, Berkley JA, et al. “When you
give birth you will not be without your mother” A mixed methods study of advice on
breastfeeding for first-time mothers in rural coastal Kenya. Int Breastfeed J. 2016;
11(1):1-9. https://doi.org/10.1186/s13006-016-0069-6 PMID: 27118984
27. Wagner EA, Chantry CJ, Dewey KG, Nommsen-Rivers LA. Breastfeeding concerns at
3 and 7 days postpartum and feeding status at 2 months. Pediatrics. 2013; 132(4):e865-e875.
https://doi.org/10.1542/peds.2013-0724 PMID: 24062375
28. Odom EC, Li R, Scanlon KS, Perrine CG, Grummer-Strawn L. Reasons for earlier than
desired cessation of breastfeeding. Pediatrics. 2013; 131(3):e726. https://doi.org/10.1542/peds.2012-1295 PMID: 23420922
29. Berridge K, McFadden K, Abayomi J, Topping J. Views of breastfeeding difficulties
among drop-in-clinic attendees. Matern Child Nutr. 2005; 1(4):250-262. https://doi.org/10.1111/j.1740-8709.2005.00014.x PMID: 16881907
30. Sun K, Chen M, Yin Y, Wu L, Gao L. Why Chinese mothers stop breastfeeding: Mothers’
self-reported reasons for stopping during the first six months. J Child Heal Care.
2017;21:53–363. https://doi.org/10.1177/1367493517719160 PMID: 29119825
31. Liu P, Qiao L, Xu F, Zhang M, Wang Y, Binns CW. Factors associated with breastfeeding
duration: A 30-month cohort study in Northwest China. J Hum Lact. 2013;35:583–591.
https://doi.org/10.1177/0890334418812044 PMID: 23504474
Comment 9: Line 268; ‘November to December, 2019’ are you sure this was an enough
time to conducted enumeration based on your study area coverage? Please see again
and modify accordingly.
Response: Thank you for raising this point. From November to December 2019, our research
team split into four teams to lead field surveys with enumerators in four sample counties
(Langzhong, Nanbu, Yilong and Jialing) at the same time. As a result, we were able
to complete the enumeration based on our study area coverage within a two-month period.
Comment 10: Line 273; why we used only 20 participants as pilot study and what was
your reference’s we used only 20 participants?
Response: Thank you for this comment. The pilot study for our survey was conducted
in two non-sample townships within the sample counties. The purpose of the pilot study
was to test the feasibility of the questionnaire and ensure that all questions were
appropriate and understandable for rural mothers in our study area. Since this pilot
study did not involve any data analysis, this study did not make any special requirements
for the sample size. The sample size for this pilot study was based on a study by
Li et al. (2019) which piloted their survey among 20 breastfeeding women. To clarify
this point, we have added this reference and updated the language in the Methods section
of the revised manuscript on page 17-18, lines 355-360 (revised text in italics):
“To ensure the accuracy and consistency of our data collection, a uniform training
session was provided to enumerators; in addition, following Li et al. [15], a pilot
study was conducted among twenty participants in two non-sample townships to ensure
the survey was appropriate and understandable for rural mothers in the study area.”
REFERENCES:
15. Li T, Guo N, Jiang H, Eldadah M. Breastfeeding Self-Efficacy Among Parturient
Women in Shanghai: A Cross-Sectional Study. J Hum Lact. 2019 Aug 5;35(3):583–91. http://journals.sagepub.com/doi/10.1177/0890334418812044 PMID: 30517822
Comment 11: Age category; which age classification are used in the study, which was
’18-30 Vs >31’?
Response: Thank you for this question. The age categories in our study were based
on those used in a 2014 study by Jemin Zhu et al., who explored factors influencing
breastfeeding self-efficacy in urban China. Zhu’s study similarly divided Chinese
mothers into two age groups using 30 years as a node. We have added this reference
and a corresponding note in the Results section of the revised manuscript on page
21 in the notes to Table 1 (revised text in italics):
“We divided mothers into two age groups using 30 years as a node, following the methods
of a previous study of BSE in urban China by Zhu et al. [41].”
REFERENCES:
41. Zhu J, Chan WCS, Zhou X, Ye B, He HG. Predictors of breast feeding self-efficacy
among Chinese mothers: A cross-sectional questionnaire survey. Midwifery. 2014;30(6):705-11.
https://doi.org/10.1016/j.midw.2013.12.008 PMID: 24439394
Comment 12: Line 305-306 and line 315-316; we used mean score ± standard deviation,
sure that the data distribution is normal?
Response: Thank you for bringing this to our attention. The results of the Kolmogorov-Smirnov
test for breastfeeding self-efficacy suggest that the data distribution is normal
(Z= 1.082, P> 0.05). We have updated the sentence in the Results section of the revised
manuscript on page 22, lines 413-417 (revised text in italics):
“The results of the Kolmogorov-Smirnov test suggest that the distribution of BSE scores
is normal (Z=1.082, P> 0.05). The average BSE score among the participants is 55.95
(SD= 8.92), and the mean score for each item is 3.50 (SD= 0.56).”
The results of the Kolmogorov-Smirnov test for maternal age suggest that the data
is not normally distributed (Z=2.314, P< 0.05) and that, instead, the median and interquartile
range should be used to statistically describe maternal age. We have updated the relevant
sentence in the Results section of the revised manuscript on page 20, lines 401-403
(revised text in italics):
“The results of the Kolmogorov-Smirnov for maternal age suggest that the distribution
is not normal (Z=2.314, P< 0.05). The median age of the postpartum women was 27 years
(IQR= 24~31).”
In addition, we have added the results of the Kolmogorov-Smirnov test for other continuous
variables including the Dennis BSE Framework variables in the Results section of the
revised manuscript on page 28, lines 458-461 (revised text in italics):
“Table 5 presents the descriptive statistics of the Dennis BSE Framework variables
excluding breastfeeding problems. The results of the Kolmogorov-Smirnov test suggest
that the distribution of all these variables is not normal (P< 0.05); we therefore
use the median and interquartile range for our subsequent analysis.”
Comment 13: Discussion: your discussion could be further developed so it doesn’t appear
like a repetition of your objectives.
Response: Thank you for your suggestion. We have enriched and developed the content
of the Discussion section on page 33-36, lines 543-602 (revised text in italics):
“The empirical results of this study also found that women who had negative breastfeeding
experiences had significantly lower BSE than those without such experiences. Three
variables related to breastfeeding problems, including the child having trouble sucking
or latching onto the breast, not producing enough milk, and milk taking too long to
secrete, were all significantly associated with lower BSE. Such breastfeeding problems
may also explain the diminished confidence in breastfeeding techniques reported among
postpartum women in our study. Although few studies have examined the role of negative
breastfeeding experiences in BSE, the findings align with the Dennis BSE framework,
which theorizes that successful performance accomplishments increase BSE, whereas
repeated failures or difficulties diminish it [8].
Early challenges with breastfeeding may be particularly salient for BSE among postpartum
mothers in rural China. Previous research has shown that more than half of postpartum
women in rural China experienced problems in the early stages of breastfeeding [45].
In our study, 28.5% of postpartum women experienced difficulty with latching during
the first two weeks of breastfeeding, 47.1% experienced insufficient milk supply,
and 37.2% experienced slow milk secretion. Postpartum women who encounter these problems
in the early stages of breastfeeding may feel inadequate in their breastfeeding techniques
and overwhelmed by challenges, thus reducing BSE. Moreover, although these problems
can be alleviated by educating women on effective breastfeeding techniques, it is
often difficult for postpartum women in rural areas to obtain relevant counseling
and guidance [46]. When breastfeeding problems arise but cannot be solved in a timely
and effective manner, postpartum women’s BSE decreases, and mothers may eventually
give up breastfeeding [47]. Therefore, public health services in rural China should
focus on helping new mothers resolve early problems they encounter during the breastfeeding
process, especially insufficient milk, poor sucking or latching, and slow milk secretion.
In contrast to breastfeeding problems, the results find that social support from significant
others and family support for breastfeeding were both significantly associated with
higher BSE among postpartum women in rural China. This finding is consistent with
BSE studies internationally [48,49], as well as studies of self-efficacy in general,
both of which find that social support can increase one’s coping abilities and competence
[50]. This also aligns with the Dennis BSE framework, which suggests that verbal persuasion
from family members, especially significant others, encourages mothers to continue
breastfeeding their infants despite challenges [8]. As the closest and most important
social network, family members are particularly important sources of emotional support
for postpartum women in general [51] and in breastfeeding promotion specifically [52].
In addition to emotional support, postpartum women with higher levels of breastfeeding
support receive relatively more practical assistance from family, which may help them
to persist in breastfeeding [35]. In rural China, however, family members and significant
others rarely receive education on breastfeeding or how to support breastfeeding mothers
[41]. Educating family members about the importance of breastfeeding support for postpartum
women may therefore increase BSE, motivation to breastfeed, and success in breastfeeding.”
REFERENCES:
8. Dennis C-L. Theoretical Underpinnings of Breastfeeding Confidence: A Self-Efficacy
Framework. J Hum Lact. 1999 Sep;15(3):195–201. http://journals.sagepub.com/doi/10.1177/089033449901500303 PMID: 10578797
35. Zhu X, Liu L, Wang Y. Utilizing a Newly Designed Scale for Evaluating Family Support
and Its Association with Exclusive Breastfeeding. Breastfeed Med. 2016 Dec;11(10):526–31.
https://doi.org/10.1089/bfm.2016.0090 PMID: 27870578
41. Zhu J, Chan WCS, Zhou X, Ye B, He HG. Predictors of breast feeding self-efficacy
among Chinese mothers: A cross-sectional questionnaire survey. Midwifery. 2014;30(6):705-11.
https://doi.org/10.1016/j.midw.2013.12.008 PMID: 24439394
45. Zhang LF, Mu M, Nie W, Song SY, Gao QF, Nie JC. [Impact of infant formula sales
promotion – recommendation and trial use on breastfeeding practice among mothers of
0 – 6 months infants in poverty-stricken rural areas of China]. Chin J Public Health.
2021; 37(02):280-5. Chinese.
46. Tang L, Binns CW, Luo C, Zhong Z, Lee AH. Determinants of breastfeeding at discharge
in rural China. Asia Pac J Clin Nutr. 2013;22(3):443–8. https://doi.org/10.6133/apjcn.2013.22.3.20 PMID: 23945415
47. Nilsson IMS, Kronborg H, Rahbek K, Strandberg-Larsen K. The significance of early
breastfeeding experiences on breastfeeding self-efficacy one week postpartum. Matern
Child Nutr. 2020;16(3):1–12. https://doi.org/10.1111/mcn.12986 PMID: 32543045
48. Hinic K. Predictors of Breastfeeding Confidence in the Early Postpartum Period.
JOGNN - J Obstet Gynecol Neonatal Nurs. 2016;45(5):649–60. http://dx.doi.org/10.1016/j.jogn.2016.04.010 PMID: 27472996
49. Mirghafourvand M, Malakouti J, Mohammad-Alizadeh-Charandabi S, Faridvand F. Predictors
of Breastfeeding Self-efficacy in Iranian Women: A Cross-Sectional Study. Int J Womens
Heal Reprod Sci. 2018;6(3):380–5. https://doi.org/10.15296/ijwhr.2018.62
50. Clapton-Caputo E, Sweet L, Muller A. A qualitative study of expectations and experiences
of women using a social media support group when exclusively expressing breastmilk
to feed their infant. Women and Birth. 2021;34(4),370–380. https://doi.org/10.1016/j.wombi.2020.06.010 PMID: 32674991
51. Bai DL, Fong DYT, Lok KYW, Tarrant M. Relationship between the Infant Feeding
Preferences of Chinese Mothers’ Immediate Social Network and Early Breastfeeding Cessation.
J Hum Lact. 2016;32:301–308. https://doi.org/10.1177/0890334416630537 PMID: 26887843
52. Kim JH, Fiese BH, Donovan SM. Breastfeeding is Natural but Not the Cultural Norm:
A Mixed-Methods Study of First-Time Breastfeeding, African American Mothers Participating
in WIC. J Nutr Educ Behav. 2017;49:S151. https://doi.org/10.1016/j.jneb.2017.04.003 PMID: 28689552
Comment 14: Line 464-466; this is the limitation of the study design itself not yours,
please modify it. Why we are incorporating your strength?
Response: Thank you for pointing this out. We agree that this is the limitation of
the study design itself not ours. We have removed this from the revised manuscript.
Comment 15: General comment; There are several grammatical issues in manuscript which
make it difficult for the readers to grasp the important points to convey in sections
where they occur. I suggest you critically review the manuscript or possibly the service
of copyeditor.
Response: Thank you for bringing this to our attention. We have accepted the service
of an editor to critically review the manuscript for spelling, grammar and comprehension.
All changes are highlighted yellow in the revised manuscript.
Response to the Journal Requirements:
Comment 1: *Please ensure that your manuscript meets PLOS ONE's style requirements,
including those for file naming.
Response: We have critically reviewed the manuscript to ensure that the manuscript
meets PLOS ONE’s style requirements, including those for file naming.
Comment 2: *We note that you have stated that you will provide repository information
for your data at acceptance. Should your manuscript be accepted for publication, we
will hold it until you provide the relevant accession numbers or DOIs necessary to
access your data. If you wish to make changes to your Data Availability statement,
please describe these changes in your cover letter and we will update your Data Availability
statement to reflect the information you provide.
Response: Thank you for your note. We do not intend to change the data availability
statement.
Comment 3: *Please review your reference list to ensure that it is complete and correct.
If you have cited papers that have been retracted, please include the rationale for
doing so in the manuscript text, or remove these references and replace them with
relevant current references. Any changes to the reference list should be mentioned
in the rebuttal letter that accompanies your revised manuscript. If you need to cite
a retracted article, indicate the article’s retracted status in the References list
and also include a citation and full reference for the retraction notice.
Response: We have reviewed our reference list to ensure that it is complete and correct
and that no retracted papers have been cited. All changes are highlighted yellow in
the revised manuscript.
We have removed the following references:
1. Semenic S, Loiselle C, Gottlieb L. Predictors of the duration of exclusive breastfeeding
among first-time mothers. Res Nurs Heal. 2008; 31:428–441.https://doi.org/10.1002/nur.20275
2. Asgarian A, Hashemi M, Pournikoo M, Mirazimi TS, Zamanian H, Amini-Tehrani M.
Translation, Validation, and Psychometric Properties of Breastfeeding Self-Efficacy
Scale—Short Form Among Iranian Women. J Hum Lact. 2020;36(2):227–35.
3. Petrozzi A, Gagliardi L. Breastfeeding self-efficacy scale: Validation of the
Italian version and correlation with breast-feeding at 3 months. J Pediatr Gastroenterol
Nutr. 2016;62(1):137–9.
4. Li S, Li L, Zheng H, Wang Y, Zhu X, Yang Y, et al. Relationship between multifaceted
body image and negative affect among women undergoing mastectomy for breast cancer:
a longitudinal study. Arch Womens Ment Health. 2018;21(6):681–8. doi:10.1007/s00737-018-0860-z
5. Jiang LC, Yan YJ, Jin ZS, Hu ML, Wang L, Song Y, et al. The Depression Anxiety
Stress Scale-21 in Chinese Hospital Workers: Reliability, Latent Structure, and Measurement
Invariance Across Genders. Front Psychol. 2020;11(March):1–9.
6. McCarter-Spaulding D, Gore R. Social Support Improves Breastfeeding Self-Efficacy
in a Sample of Black Women. Clin Lact. 2012; https://doi.org/10.1891/215805312807022923
We have added the following references:
1. Glassman ME, McKearney K, Saslaw M, Sirota DR. Impact of breastfeeding self-efficacy
and sociocultural factors on early breastfeeding in an urban, predominantly dominican
community. Breastfeed Med. 2014;9(6):301–7. https://doi.org/10.1089/bfm.2014.0015 PMID: 24902047
2. Wu DS, Hu J, Mccoy TP, Efird JT. The effects of a breastfeeding self-efficacy intervention
on short-term breastfeeding outcomes among primiparous mothers in Wuhan, China. J
Adv Nurs. 2014;70(8):1867–79. https://doi.org/10.1111/jan.12349 PMID: 24400967
3. Liu Y, Li N, Mei Z, Li Z, Ye R, Zhang L, et al. Effects of prenatal micronutrients
supplementation timing on pregnancy-induced hypertension: Secondary analysis of a
double-blind randomized controlled trial. Matern Child Nutr. 2021;(January):e13157.
https://doi.org/10.1111/mcn.13157 PMID: 33594802
4. Demirci JR, Bogen DL. An Ecological Momentary Assessment of Primiparous Women’s
Breastfeeding Behavior and Problems from Birth to 8 Weeks. J Hum Lact. 2017; 33(2):
285-295. https://doi.org/10.1177/0890334417695206 PMID: 28418803
5. Kronborg H, Væth M. How Are Effective Breastfeeding Technique and Pacifier Use
Related to Breastfeeding Problems and Breastfeeding Duration? Birth. 2009; 36(1):34-42.
https://doi.org/10.1111/j.1523-536X.2008.00293.x PMID: 19278381
6. Karaçam Z, Sağlık M. Breastfeeding problems and interventions performed on problems:
Systematic review based on studies made in Turkey. Turk Pediatri Arsivi. 2018; 53(3).
https://doi.org/10.5152/TurkPediatriArs.2018.6350 PMID: 30459512
7. Talbert AW, Ngari M, Tsofa B, Mramba L, Mumbo E, Berkley JA, et al. “When you
give birth you will not be without your mother” A mixed methods study of advice on
breastfeeding for first-time mothers in rural coastal Kenya. Int Breastfeed J. 2016;
11(1):1-9. https://doi.org/10.1186/s13006-016-0069-6 PMID: 27118984
8. Wagner EA, Chantry CJ, Dewey KG, Nommsen-Rivers LA. Breastfeeding concerns at
3 and 7 days postpartum and feeding status at 2 months. Pediatrics. 2013; 132(4):e865-e875.
https://doi.org/10.1542/peds.2013-0724 PMID: 24062375
9. Odom EC, Li R, Scanlon KS, Perrine CG, Grummer-Strawn L. Reasons for earlier than
desired cessation of breastfeeding. Pediatrics. 2013; 131(3):e726. https://doi.org/10.1542/peds.2012-1295 PMID: 23420922
10. Berridge K, McFadden K, Abayomi J, Topping J. Views of breastfeeding difficulties
among drop-in-clinic attendees. Matern Child Nutr. 2005; 1(4):250-262. https://doi.org/10.1111/j.1740-8709.2005.00014.x PMID: 1688190710.
11. Zhang LF, Mu M, Nie W, Song SY, Gao QF, Nie JC. [Impact of infant formula sales
promotion – recommendation and trial use on breastfeeding practice among mothers of
0 – 6 months infants in poverty-stricken rural areas of China]. Chin J Public Health.
2021; 37(02):280-5. Chinese.
12. Tang L, Binns CW, Luo C, Zhong Z, Lee AH. Determinants of breastfeeding at discharge
in rural China. Asia Pac J Clin Nutr. 2013;22(3):443–8. https://doi.org/10.6133/apjcn.2013.22.3.20 PMID: 23945415
13. Clapton-Caputo E, Sweet L, Muller A. A qualitative study of expectations and
experiences of women using a social media support group when exclusively expressing
breastmilk to feed their infant. Women and Birth. 2021;34(4),370–380. https://doi.org/10.1016/j.wombi.2020.06.010 PMID: 32674991
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