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Background: The importance of breastfeeding in low- and middle- income countries is well recognized, yet the importance of postnatal mental health on breastfeeding practices and beliefs in these settings has been understudied. This study investigates the associations between maternal mental health problems, breastfeeding beliefs and breastfeeding practices in rural China.

 

Methods: Cross-sectional data were collected in November and December 2019 from 742 mothers of infants under 6 months old in rural Sichuan Province, China. Maternal mental health (depression, anxiety, and stress symptoms) was assessed using the Depression, Anxiety, and Stress Scale (short form). Breastfeeding beliefs were assessed using the Iowa Infant Feeding Attitude Scale and Breastfeeding Self-Efficacy Scale (short form). Breastfeeding practices were assessed through a 24-h dietary recall questionnaire. Ordinary least squares regression, multiple logistic regression and heterogeneous effects analyses were used to identify associations between symptoms of mental health problems and breastfeeding outcomes.

 

Results: The average age of sample infants was 2.7 months. Among mothers, 13% showed symptoms of depression, 16% anxiety, and 9% stress. The prevalence of exclusive breastfeeding in the previous 24 h was 38.0%. Depression symptoms were significantly associated with breastfeeding attitude and breastfeeding self-efficacy. Anxiety and stress symptoms were significantly associated with breastfeeding self-efficacy. There were no significant associations between symptoms of mental health problems and exclusive breastfeeding. The heterogeneous effects analyses revealed that less educated mothers with symptoms of stress had lower odds of exclusive breastfeeding than educated mothers without symptoms of stress. Mothers of younger infants had higher odds of exclusive breastfeeding than the mother of older infants, regardless of depression, anxiety, or stress symptoms.

 

Conclusion: Symptoms of maternal mental health problems are significantly associated with breastfeeding attitude and self-efficacy; however, these symptoms are not associated with breastfeeding practices. Maternal educational level and infant age may play a role in mothers’ breastfeeding practices. To improve breastfeeding practices, interventions should employ a multi-dimensional approach that focuses on improving maternal mental well-being and considers demographic characteristics.

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International Breastfeeding Journal
Authors
Scott Rozelle
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Behavioral strengths and difficulties among children and adolescents may be significantly associated with their academic performance; however, the evidence on this issue for rural youth in developing contexts is limited. This study explored the prevalence and correlates of mental health from three specific dimensions—internalizing problems, externalizing problems, and prosocial behavior—measured by the Strengths and Difficulties Questionnaire (SDQ), and the association of these dimensions with academic performance in math among a sample of 1500 students in rural China. Our findings indicated that students in rural China had worse behavioral difficulties and poorer prosocial skills when compared to most past studies conducted inside and outside of China. In addition, total difficulties and prosocial scores on the SDQ were significantly associated with student math test scores, as students whose externalizing, internalizing, and prosocial scores were in the abnormal range scored lower in math by 0.35 SD, 0.23 SD, and 0.33 SD, respectively. The results add to the growing body of empirical evidence related to the links between social environment, mental health, and academic performance in developing countries, highlighting the importance of students’ mental health for their academic performance, and of understanding risk factors in the social environment among rural youth in developing countries.

Journal Publisher
Healthcare
Authors
Huan Wang
Scott Rozelle
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2022 Sam Dr. Sam-Chung Hsieh Memorial Lecture
Date & Time: Wednesday, September 28, 2022     |    4:30 - 6:00 PM PT 
Location: Green Library, Bing Wing, 5th floor, Bender Room


Overreach and Overreaction: The Downward Spiral in the U.S.-China Relations 

Stanford Libraries and the Stanford Center on China’s Economy and Institutions are pleased to present the 2022 Dr. Sam-Chung Hsieh Memorial Lecture featuring Professor Susan Shirk who will be speaking on Overreach and Overreaction: The Downward Spiral in the U.S.-China Relations.  This is an in-person event.

Why did China abandon its successful foreign policy of restraint and shift toward confrontation and unchecked control over its own society? Surprisingly the shift began under Hu Jintao’s collective leadership (2002-12). Under the personalistic leadership of Xi Jinping the trend has intensified. Those who implement Xi's directives compete to outdo one another, provoking an even greater global backlash. To counter China’s overreach, the worst mistake the rest of the world, and the United States in particular, can make is to overreact. Understanding the domestic political drivers of foreign policy in both countries can help us stem the downward spiral in relations.


About the Speaker

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Susan Shirk

Susan Shirk is Chair of the 21st Century China Center and research professor at the UC San Diego School of Global Policy and Strategy. Shirk’s book, China:  Fragile Superpower helped frame the policy debate on China in the U.S. and other countries. Her articles have appeared in leading academic publications in political science, international relations, and China studies. She previously served as deputy assistant secretary of state (1997-2000) responsible for U.S. policy toward China, Taiwan, Hong Kong and Mongolia. She is director emeritus of the UC Institute on Global Conflict and Cooperation and founded the Northeast Asia Cooperation Dialogue, an unofficial forum for discussion of security issues. Shirk is a graduate of Mt. Holyoke College and received her PhD from M.I.T.


The family of Dr. Sam-Chung Hsieh donated his personal archive to the Stanford Libraries' Special Collections and endowed the Dr. Sam-Chung Hsieh Memorial Lecture series to honor his legacy and to inspire future generations. Dr. Sam-Chung Hsieh (1919-2004) was former Governor of the Central Bank in Taiwan. During his tenure, he was responsible for the world's largest foreign exchange reserves, and was widely recognized for achieving stability and economic growth. In his long and distinguished career as economist and development specialist, he held key positions in multilateral institutions including the Asian Development Bank, where as founding Director, he was instrumental in advancing the green revolution and in the transformation of rural Asia. Read more about Dr. Hsieh.


Questions? Contact Sonia Lee from Stanford Libraries 

Green Library, Bing Wing, 5th floor, Bender Room

Susan Shirk University of California San Diego
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Heather Rahimi
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Ensuring that every child in the world achieves basic skills is a key development goal emphasized in the UN's Sustainable Development Goals. But how far is the world away from reaching this goal? And what would achieving Sustainable Development Goal 4 mean for world development? Eric Hanushek, the Paul and Jean Hanna Senior Fellow at the Hoover Institution of Stanford University, joins Scott Rozelle, the Helen F. Farnsworth Senior Fellow and the co-director of Stanford Center on China's Economy and Institutions in the Freeman Spogli Institute for International Studies and Stanford Institute for Economic Policy Research at Stanford University,  for a discussion on the development of an achievement database for all of the countries of the world along with estimation of the economic gains from educational improvement.

Hanushek bases his talk on the underlying concept that economic growth is almost solely a function of the skills of a workforce, which is in turn measured by the achievement and knowledge the workers have. Hanushek compares PISA scores across the world with each country's respective income level, and sets out to answer three main questions: 1) Who is competitive? 2) How do labor skills affect development? And, 3) how skilled is China? 

Watch the full event recording to discover the answers from Hanushek's research findings:

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Stanford Senior Fellow Eric Hanushek joined SCCEI for a conversation on his research looking at the worldwide progress of achieving the UN's Sustainable Development Goals. Hanushek compares different countries' PISA scores and incomes in effort to answer the following questions: Who is competitive? How do labor skills affect development? How skilled is China?

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Resilience can play an important role in enabling disadvantaged students to succeed academically. However, few studies in low-resource contexts have evaluated resilience as a process (including a child’s internal capabilities and external resources, like the internal capabilities of a child’s caregiver) and as an outcome (e.g., academic achievement). In the current study, we examined the associations among students’ self-reported internal capabilities, their external resources (e.g., caregivers’ internal capabilities), and their academic resilience (operationalized as performance on a math test). The study was conducted among 1609 primary and secondary school students in rural China using the Connor–Davidson Resilience Scale (CD-RISC) to measure internal capabilities. Student CD-RISC scores were positively associated with external resources including caregiver CD-RISC scores, maternal education level, high levels of perceived social support, recreational reading, and involvement in group-based activities at school. A one-point increase in students’ CD-RISC scores was associated with a 0.01 SD increase in math score (p < 0.001), and the math scores of students whose CD-RISC scores were in the bottom quartile were 0.18 SD lower than those of their peers (p < 0.01). High levels of perceived social support and recreational reading were also associated with academic resilience in the adjusted equation. Directions for future research and policy implications are discussed.

Journal Publisher
Adversity and Resilience Science
Authors
Huan Wang
Scott Rozelle
Xinshu She
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Proper management of non-communicable diseases (NCDs) is a severe challenge to China's rural health system. This study investigates what influences the poor medical treatment of NCDs (diabetes and angina) by evaluating the “know-do gap” between provider knowledge and practice. To determine whether low levels of provider knowledge low quality of patient care is the primary constraint on the quality of NCDs diagnosis and treatment in rural China. Providers from Village Clinics (VC) and Township Health Centers (THC), and Standardized Patients (SP) were selected by a multi-stage random sampling method. Clinical vignettes were administered to 306 providers from 103 VCs and 50 THCs in rural Sichuan Province. SPs presented diabetes symptoms completed 97 interactions with providers in 46 VCs and 51 THCs; SPs presented angina symptoms completed 100 interactions with providers in 50 VCs and 50 THCs. Process quality, diagnosis quality, and treatment quality were assessed against national standards for diabetes and angina. Two-tailed T-tests and tests of proportions for continuous outcomes and tests of proportions for binary dependent variables were used to compare vignette and SP results. Differences between vignette and SP data calculated the know-do gap. Regression analyses were used to examine the providers/facility characteristics and knowledge/practice associations. THC providers demonstrated significantly more knowledge in vignettes and better practices in SP visits than VC providers. However, levels of knowledge were low overall: 48.2% of THC providers and 28.2% of VC providers properly diagnosed type 2 diabetes, while 23.8% of THC providers and 14.7% of VC providers properly diagnosed angina. With SPs, 2.1% of THC providers and 6.8% of VC providers correctly diagnosed type 2 diabetes; 25.5% of THC providers and 12.8% of VC providers correctly diagnosed angina. There were significant know-do gaps in diagnosis process quality, diagnosis quality, and treatment quality for diabetes (p < 0.01), and in diagnosis process quality (p < 0.05) and treatment quality for angina (p < 0.01). Providers in rural China display low levels of knowledge when treating diabetes and angina. Despite low knowledge, evidence of the know-do gap indicates that low-quality healthcare is the primary constraint on the quality of NCD diagnosis and treatment in rural China. Our research findings provide a new perspective for the evaluation of the medical quality and a technical basis for the development of new standardized cases in the future.

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Frontiers in Public Health
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Scott Rozelle
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Earlier this year the Stanford Center on China's Economy and Institutions (SCCEI) joined the Center for Strategic and International Studies (CSIS) to launch Big Data China, a new project aimed at bridging the gap between cutting-edge academic research on China and the Washington policy community. Since the launch of the collaboration, SCCEI and CSIS have hosted a number of featured events, organized briefing sessions for academics to speak directly with policy makers,  launched a new project website, and much more.

We just don’t understand China — if we understood China better, we could make better policy decisions.
Scott Rozelle

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Big Data China logo
The Big Data China website features regular multimedia analysis with high-quality data that explores important trends in China’s economy and society. In the newest video release, Scott Rozelle, SCCEI Co-Director, and Scott Kennedy, CSIS Trustee Chair in Chinese Business and Economics, sit down to discuss why the Big Data China collaboration is needed now, more than ever. As Scott Rozelle puts it, "we just don’t understand China — if we understood China better, we could make better policy decisions." This collaboration aims to reduce the current gap between academia and Washington by identifying and highlighting the policy implications of cutting-edge scholarly work on China and presenting it directly to the policy community. 


Watch the video and visit the website for more from Big Data China!

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SCCEI Launches New Impact Initiative with the China Briefs

The SCCEI China Briefs are short features that translate top-quality academic research into evidence-based insights for those interested in China and U.S.-China relations. Released twice a month, the briefs will cover timely issues that inform policy and advance the public understanding of China and its role on the global stage.
SCCEI Launches New Impact Initiative with the China Briefs
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SCCEI Launches "Big Data China" in Collaboration with the Center for Strategic and International Studies (CSIS)

"Big Data China" aims to bridge the gap between cutting-edge quantitative academic research and the Washington policy community. On February 11, 2022, SCCEI and CSIS hosted their first Big Data China event, "A Liberal Silent Majority in China?" Curated highlights from the first feature of the collaboration are included below.
SCCEI Launches "Big Data China" in Collaboration with the Center for Strategic and International Studies (CSIS)
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Politico: Biden Bets Big on Asia

Jude Blanchette from CSIS recommends Scott Rozelle's new book "Invisible China" saying, "If you’re thinking seriously about China’s future trajectory, it’s imperative you read this book to understand the possible impacts of China’s chronic underinvestment in education.”
Politico: Biden Bets Big on Asia
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In this video short, Scott Rozelle, SCCEI Co-Director sits down with Scott Kennedy, CSIS Trustee Chair in Chinese Business, to discuss Big Data China, a new project aimed at bridging the gap between cutting-edge academic research on China and the Washington policy community.

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Purpose: We examine how adolescent free time allocation—namely, screen time and outdoor time—is associated with mental health and academic performance in rural China.

Methods: This paper used a large random sample of rural junior high school students in Ningxia (n = 20,375; age=13.22), with data collected from self-reported demographic questionnaires (to assess free time allocation), the Strengths and Difficulties Questionnaire (to assess mental health), and a standardized math test (to measure academic performance). We utilized a multivariate OLS regression model to examine associations between free time allocation and adolescent outcomes, controlling for individual and family characteristics.

Results: Our sample’s screen time and outdoor time both averaged around 1 hour. About 10% of the sample adolescents reported behavioral difficulties, while a similar percentage (11%) reported abnormal prosocial behaviors. Adolescents with higher levels of screen time (> 2 hours) were 3 percentage points more likely to have higher levels of behavioral difficulties (p< 0.001), indicating that excessive screen time was associated with worse mental health. Meanwhile, outdoor time was associated with better mental health, and positive correlations were observed at all levels of outdoor time (compared to no outdoor time, decreasing the likelihood of higher levels of behavioral difficulties by between 3 and 4 percentage points and of lower prosocial scores by between 6 and 8 percentage points; all p’s< 0.001). For academic performance, average daily screen times of up to 1 hour and 1– 2 hours were both positively associated with standardized math scores (0.08 SD, p< 0.001; 0.07 SD, p< 0.01, respectively), whereas there were no significant associations between outdoor time and academic performance.

Conclusion: Using a large sample size, this study was the first to examine the association between adolescent free time allocation with mental health and academic performance, providing initial insights into how rural Chinese adolescents can optimize their free time.

Journal Publisher
Risk Management and Healthcare Policy
Authors
Huan Wang
Scott Rozelle
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Background
High adherence and proper usage of micronutrient powder (MNP) influence child nutritional outcomes, yet few studies explore the role of delivery patterns. This study explores the association between MNP delivery patterns and MNP feeding behaviors among Han and minority caregivers in rural Western China.

Methods
In August 2019, a total of 1021 caregiver-child pairs were selected through a four-stage cluster sampling process. A cross-sectional survey collected information on caregiver demographics, MNP delivery patterns (channel and frequency), and MNP feeding behaviors (proper usage and adherence). Using logistic regression, we examined which delivery channels and delivery frequencies were associated with proper usage and high adherence.

Results
The results indicated that minority caregivers had lower levels of proper MNP usage than did Han caregivers (89.2%), with Tibetan caregivers’ reporting the lowest rates of adherence (32.6%). Logistic regression revealed that that township-based channel was significantly correlated with proper usage among Tibetan and Yi caregivers (Odds Ratio, OR = 2.0, p < 0.01; and OR = 3.5, p < 0.001). Overall, the township-based and home-visit channels were significantly correlated with high adherence (OR = 1.7 and OR = 2.3, respectively; p < 0.001); delivery frequency was significantly correlated with high adherence (2 months: OR = 2.2, p < 0.001 and ≤ 1 month: OR = 3.5, p < 0.001) but not correlated with proper usage among the whole sample and individual ethnic groups.

Conclusions
In conclusion, the study finds evidence of a correlation between MNP delivery channel and both proper usage and high adherence as well as a correlation between MNP delivery frequency and high adherence.

Journal Publisher
BMC Public Health
Authors
Scott Rozelle
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