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The Impact of Peers with Severe Sickness Experience on Students’ Mental Health

  • Liping Chen , Jiada Lin ORCID logo EMAIL logo und Zhihan Zhou ORCID logo
Veröffentlicht/Copyright: 18. November 2025

Abstract

This study, using data from the China Education Panel Survey, examines the impact of peers with severe sickness experience within the classroom on the mental health of middle school students. To address endogeneity issues and establish causal inference, we focus on a sample of schools where students are randomly assigned to classes. Our results indicate that a one standard deviation increase in the share of peers with severe sickness experience in the classroom reduces students’ standardized indexes of mental health by 0.07 standard deviations. To explore potential mechanisms, we examine the classroom environment and teachers’ teaching behavior. Our findings indicate that exposure to peers with severe sickness experience deteriorates the classroom environment, but no significant effect is found on teachers’ teaching behavior.

JEL Classifications: I15; I25; J13

Corresponding author: Jiada Lin, International School of Business and Finance, Sun Yat-Sen University, Zhuhai, Guangdong, China, E-mail:

All authors are in alphabetical order and contributed equally to the paper and could be treated as the joint first author.


Funding source: National Social Science Fund of China

Award Identifier / Grant number: No. 23 & ZD183

  1. Conflict of interest: The authors have no relevant financial or non-financial interests to disclose.

  2. Research funding: This work is funded by the Major Program of the National Social Science Fund of China (Grant No. 23 & ZD183).

Appendix A: Additional Figures and Tables

see Figures A1 and A2, Tables A1A12.

Figure A1: 
Distribution of the number and share of students with severe sickness experience. Note. Data are from the 2013–2014 CEPS. The figures plot the distributions of the number and share of students with severe sickness experience.
Figure A1:

Distribution of the number and share of students with severe sickness experience. Note. Data are from the 2013–2014 CEPS. The figures plot the distributions of the number and share of students with severe sickness experience.

Figure A2: 
Placebo test. Note. Data are from the 2013–2014 CEPS. The figure plots the distribution of mental health index coefficients and corresponding p-values from 1,000 regressions, each conducted after randomly reassigning the share of peers with severe sickness experience across classes within each school. The vertical dashed lines represent the baseline estimates for the corresponding outcomes (Columns 3 and 7 of Table 3).
Figure A2:

Placebo test. Note. Data are from the 2013–2014 CEPS. The figure plots the distribution of mental health index coefficients and corresponding p-values from 1,000 regressions, each conducted after randomly reassigning the share of peers with severe sickness experience across classes within each school. The vertical dashed lines represent the baseline estimates for the corresponding outcomes (Columns 3 and 7 of Table 3).

Table A1:

Comparison of average health and academic outcomes between students with severe sickness experience and students who repeated a grade in primary school.

Students with severe sickness experience(1) Students who repeated a grade in primary school(2)
Panel A. Mental health
Average index −0.337 −0.127
PCA index −0.338 −0.126
Panel B. Physical health
Physical health (self-report) 0.576 0.685
Physical health (parents’ assessments) 0.547 0.673
Height-for-age −0.247 −0.242
Panel C. Test scores
Chinese −0.083 −0.219
Mathematics −0.134 −0.179
English −0.083 −0.267
  1. Data are from the 2013–2014 CEPS. The sample used here is identical to that in the main analysis. Variable definitions and construction details are provided in Section 3.

Table A2:

Characteristics of random sample and full CEPS sample.

Random sample Full CEPS sample
(1) (2)
Panel A. School characteristics
# of schools 63 112
Type of schools
Public school 92.06 % 92.86 %
Private school 7.94 % 7.14 %
Rank of schools
Medium and below 19.05 % 21.43 %
Top middle ranking 57.14 % 59.82 %
Top 23.81 % 18.75 %
School principal
Gender (Male = 1) 79.37 % 82.57 %
Education 5.52 5.41
Working experience 24.76 24.56
Whether school principal graduated from a normal college (Yes = 1) 100 % 99.07 %
Panel B. Class characteristics
# of classes 194 438
Head teacher characteristics
Age 37.53 37.16
Gender (Male = 1) 31.96 % 34.02 %
Education 5.44 5.39
Working experience 15.85 15.87
Marital status (Married = 1) 90.72 % 89.24 %
Student characteristics
Age 13.91 13.90
Gender (Male = 1) 49.73 % 51.53 %
Minority (Yes = 1) 10.90 % 8.73 %
Local student (Yes = 1) 81.27 % 82.04 %
Whether fathers have a college education or above (Yes = 1) 21.30 % 15.39 %
Whether mothers have a college education or above (Yes = 1) 18.49 % 12.91 %
Low-income family (Yes = 1) 15.32 % 21.31 %
  1. Data are from the 2013–2014 CEPS.

Table A3:

Principal components of the mental health index.

Component Eigenvalue Difference Proportion Cumulative
Factor1 3.27 2.70 0.65 0.65
Factor2 0.57 0.11 0.11 0.77
Factor3 0.45 0.09 0.09 0.86
Factor4 0.36 0.02 0.07 0.93
Factor5 0.35 0.07 1.00
  1. Data are from the 2013–2014 CEPS.

Table A4:

Contribution of each variable and Kaiser-Meyer-Olkin measure of sampling adequacy.

Variable Factor1 Uniqueness KMO
Blue 0.83 0.32 0.86
Depressed 0.82 0.33 0.85
Unhappy 0.84 0.29 0.86
Perceiving life as meaningless 0.74 0.45 0.89
Sad 0.81 0.34 0.87
Overall 0.86
  1. Data are from the 2013–2014 CEPS.

Table A5:

The correlation between severe sickness experience and student characteristics.

Severe sickness experience
(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)
Age 0.014** 0.010
(0.006) (0.006)
Gender 0.003 −0.002
(0.006) (0.006)
Minority −0.002 −0.003
(0.013) (0.013)
Local student 0.003 0.006
(0.009) (0.009)
Only child −0.002 0.000
(0.006) (0.007)
Owing computer −0.016* −0.012
(0.009) (0.009)
Suspension in primary school 0.125*** 0.122***
(0.023) (0.022)
Grade repetition in primary school 0.022* 0.009
(0.013) (0.013)
Whether fathers have a college education or above −0.003 0.002
(0.008) (0.008)
Whether mothers have a college education or above −0.008 −0.006
(0.008) (0.009)
Low-income family 0.030*** 0.027**
(0.011) (0.011)
School-grade fixed effects Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes
R 2 0.076 0.075 0.075 0.075 0.075 0.075 0.082 0.075 0.075 0.075 0.076 0.084
Observations 7,348 7,348 7,348 7,348 7,348 7,348 7,348 7,348 7,348 7,348 7,348 7,348
  1. Data are from the 2013–2014 CEPS. The dependent variable is a dummy indicating whether a student experienced severe sickness before primary school. All regressions include school-grade fixed effects. Standard errors in parentheses are clustered at the class level. ***, **, and *denote statistical significance at the 1 %, 5 %, and 10 % level, respectively.

Table A6:

The correlation between severe sickness experience and students’ human capital performance.

Average index of mental health PCA index of mental health Physical health (self-report) Physical health (parents’ assessments) Height-for-age Chinese Mathematics English
(1) (2) (3) (4) (5) (6) (7) (8)
Severe sickness experience −0.397*** −0.397*** −0.154*** −0.179*** −0.154*** −0.097** −0.158*** −0.098**
(0.045) (0.044) (0.022) (0.020) (0.058) (0.046) (0.046) (0.043)
School-grade fixed effects Yes Yes Yes Yes Yes Yes Yes Yes
R 2 0.011 0.011 0.061 0.102 0.064 0.001 0.002 0.001
Observations 7,348 7,348 7,291 7,229 7,116 7,154 7,157 7,157
  1. Data are from the 2013–2014 CEPS. Each column presents the results from a separate regression. All regressions include school-grade fixed effects. Standard errors in parentheses are clustered at the class level. ***, **, and *denote statistical significance at the 1 %, 5 %, and 10 % level, respectively.

Table A7:

Permutation test.

(1)
Age 0.472
Gender 0.476
Minority 0.246
Local student 0.461
Only child 0.478
Owning computer 0.456
Suspension in primary school 0.293
Grade repetition in primary school 0.329
Whether fathers have a college education or above 0.347
Whether mothers have a college education or above 0.335
Low-income family 0.417
  1. Data are from the 2013–2014 CEPS.

Table A8:

The correlation between mental health and student characteristics.

Average index PCA index
(1) (2)
Age −0.048** −0.048**
(0.021) (0.021)
Gender 0.044* 0.049*
(0.025) (0.025)
Minority −0.036 −0.037
(0.053) (0.053)
Local student 0.051 0.052
(0.039) (0.039)
Only child 0.003 0.003
(0.029) (0.029)
Owing computer −0.005 −0.005
(0.034) (0.034)
Suspension in primary school −0.091 −0.090
(0.064) (0.064)
Grade repetition in primary school −0.125** −0.124**
(0.048) (0.048)
Whether fathers have a college education or above 0.069* 0.067
(0.042) (0.042)
Whether mothers have a college education or above 0.038 0.039
(0.045) (0.045)
Low-income family −0.156*** −0.157***
(0.036) (0.036)
School-grade fixed effects Yes Yes
R 2 0.010 0.010
Observations 6,758 6,758
  1. Data are from the 2013–2014 CEPS. The dependent variables are average index and PCA index of mental health. All regressions include school-grade fixed effects. Standard errors in parentheses are clustered at the class level. ***, **, and *denote statistical significance at the 1 %, 5 %, and 10 % level, respectively.

Table A9:

The effects of peers without severe sickness experience on the mental health of students with severe sickness experience.

Average index PCA index
(1) (2)
Share of peers without severe sickness experience 0.092 0.095
(0.113) (0.113)
Student controls Yes Yes
Class controls Yes Yes
School-grade fixed effects Yes Yes
R 2 0.160 0.159
Observations 590 590
  1. Data are from the 2013–2014 CEPS. Each column presents the results from a separate regression. Student controls include students’ age and dummy variables indicating gender, minority, local student, only child, whether they own computer, whether they were suspended in primary school, whether they repeated a grade in primary school, whether fathers have a college education or above, whether mothers have a college education or above, and whether they come from a low-income family. Class controls include head teacher’s age, gender, education, working experience, marital status, and whether the class is large. All regressions include school-grade fixed effects. Standard errors in parentheses are clustered at the class level. ***, **, and *denote statistical significance at the 1 %, 5 %, and 10 % level, respectively.

Table A10:

The effects of the number of peers with severe sickness experience on students’ mental health.

Average index PCA index
(1) (2)
Number of peers with severe sickness experience −0.019** −0.019**
(0.008) (0.008)
Student controls Yes Yes
Class controls Yes Yes
School-grade fixed effects Yes Yes
R 2 0.012 0.012
Observations 6,758 6,758
  1. Data are from the 2013–2014 CEPS. Each column presents the results from a separate regression. Student controls include students’ age and dummy variables indicating gender, minority, local student, only child, whether they own computer, whether they were suspended in primary school, whether they repeated a grade in primary school, whether fathers have a college education or above, whether mothers have a college education or above, and whether they come from a low-income family. Class controls include head teacher’s age, gender, education, working experience, marital status, and whether the class is large. All regressions include school-grade fixed effects. Standard errors in parentheses are clustered at the class level. ***, **, and *denote statistical significance at the 1 %, 5 %, and 10 % level, respectively.

Table A11:

Tests for sample attrition.

Attrition dummy
(1)
Share of peers with severe sickness experience 0.010
(0.016)
School-grade fixed effects Yes
R 2 0.092
Observations 7,741
  1. Data are from the 2013–2014 CEPS. Each column presents the results from a separate regression. All regressions include school-grade fixed effects. Standard errors in parentheses are clustered at the class level. ***, **, and *denote statistical significance at the 1 %, 5 %, and 10 % level, respectively.

Table A12:

The effects of peers with severe sickness experience on detail items of mental health.

Blue Depressed Unhappy Perceiving life as meaningless Sad
(1) (2) (3) (4) (5)
Share of peers with severe sickness experience −0.086** −0.071* −0.065 −0.107** −0.074**
(0.035) (0.037) (0.040) (0.046) (0.033)
Student controls Yes Yes Yes Yes Yes
Class controls Yes Yes Yes Yes Yes
School-grade fixed effects Yes Yes Yes Yes Yes
R 2 0.062 0.068 0.065 0.051 0.062
Observations 6,758 6,758 6,758 6,758 6,758
  1. Data are from the 2013–2014 CEPS. Each column presents the results from a separate regression. Student controls include students’ age and dummy variables indicating gender, minority, local student, only child, whether they own computer, whether they were suspended in primary school, whether they repeated a grade in primary school, whether fathers have a college education or above, whether mothers have a college education or above, and whether they come from a low-income family. Class controls include head teacher’s age, gender, education, working experience, marital status, and whether the class is large. All regressions include school-grade fixed effects. Standard errors in parentheses are clustered at the class level. ***, **, and *denote statistical significance at the 1 %, 5 %, and 10 % level, respectively.

Appendix B: Additional Analysis for 9th Grade Sample

The differential effects between the 7th- and 9th-grade samples may reflect potential selection issues. To address this concern, we restrict the analysis to 9th-grade students and conduct two balance tests to assess the randomness of classroom assignment, following the procedures outlined in Section 4.2. First, we re-estimate the balance test based on the student pre-determined characteristics. If non-random selection is present, we would expect a significant correlation between the share of peers with severe sickness experience and students’ pre-determined characteristics. However, as shown in Column 2 of Table B1, and consistent with the results in Column 2 of Table 2, most of the characteristics of 9th-grade students are not significantly correlated with the share of peers with severe sickness experience once school-by-grade fixed effects are included. These findings suggest that student characteristics are balanced across classrooms with varying proportions of peers with severe sickness experience, supporting the assumption of random classroom assignment within the 9th-grade sample.

Second, we follow the methodology of Gong et al. (2021) and Chung and Zou (2023) and conduct a permutation test using a resampling approach to further assess the randomness of student assignment in the 9th-grade sample. As shown in Table B2, all p-values exceed 0.1, providing additional evidence that students in 9th grade are randomly assigned to classrooms. This finding suggests that potential selection or shuffling across classrooms is unlikely to bias the assignment process and does not threaten the validity of our results.

Another potential explanation for the differential effects observed between the 7th- and 9th-grade samples could be related to student transfers across classrooms or schools. However, as outlined in Section 2 on the institutional background, middle school admission in China follows the completion of primary education and is determined by household registration. Upon entering the 7th-grade, students are generally assigned to classes through a random allocation process, aiming for an equitable distribution of students across all classes. Moreover, under the compulsory education system, class transfers are generally prohibited except under special circumstances. Given these institutional features, we believe that school or class transfers are unlikely to occur frequently in our sample, thereby limiting the scope for selection bias.

To further address this concern, we examine the potential for class reassignment, particularly among 9th-grade students. Unfortunately, the available data do not allow us to directly observe class-switching behavior for 9th graders, because information on their class status in 7th and 8th grade is unavailable. However, we conduct a related analysis using data from the 7th-grade sample. CEPS conducted a follow-up survey one year later, when the original 7th-grade students advanced to 8th-grade. We use this follow-up data and calculate the proportion of students who changed either their class or school between 7th- and 8th-grade. The results indicate that such transitions are relatively rare. According to official CEPS data, the 7th-grade sample includes 10,279 students, 830 of whom either transferred to a different school or changed classes within the same school by 8th grade, thereby yielding a transfer rate of 8.1 %. In our estimation sample, which is restricted to students randomly assigned to classrooms, the transfer rate falls further to 5.9 %. These low levels of mobility suggest that class and school changes between 7th- and 8th-grade are limited. On the basis of this evidence, we reasonably assume a similarly limited degree of school and class switching in the 9th-grade.

Furthermore, we conduct additional analyses to assess whether exposure to peers with severe sickness experience influences students’ tracking status. We construct a binary variable, “untrackable,” which takes the value 1 if a student cannot be tracked owing to a class or school transfer or for other unspecified reasons, and 0 otherwise. Then, we examine whether the proportion of peers with severe sickness experience in 7th-grade predicts students’ tracking status. The results in Table B3 show no significant relationship, indicating that the presence of such peers does not affect the likelihood of class or school transfers. This result alleviates concerns that our findings for the 9th-grade sample may be driven by selection bias.

In summary, evidence from the transfer rate analysis and regression results suggests that class and school transfers are unlikely to account for the observed effects of peers with severe sickness experience in the 9th-grade sample.

Table B1:

Balance tests for pre-determined characteristics of 9th grade sample.

Share of peers with severe sickness experience
(1) (2)
Age 0.225** 0.013*
(0.105) (0.007)
Gender 0.047 −0.011
(0.044) (0.009)
Minority 1.166*** −0.015
(0.360) (0.012)
Local student 0.106 0.028
(0.107) (0.017)
Only child −0.582*** 0.011
(0.138) (0.011)
Owning computer −0.756*** 0.024
(0.182) (0.017)
Suspension in primary school 0.250*** 0.016
(0.092) (0.024)
Grade repetition in primary 0.722*** −0.020
school (0.137) (0.012)
Whether fathers have a −0.400*** 0.015
college education or above (0.109) (0.012)
Whether mothers have a −0.402*** 0.004
college education or above (0.108) (0.011)
Low-income family 0.634*** 0.032
(0.170) (0.031)
School-grade fixed effects No Yes
Observations 3,147 3,147
  1. Data are from the 2013–2014 CEPS. In Columns 1 and 2, each cell represents a single regression of the share of peers with severe sickness experience on the corresponding variables. Column 1 presents results without school-grade fixed effects, while Column 2 reports results with school-grade fixed effects included. Standard errors in parentheses are clustered at the class level. ***, **, and *denote statistical significance at the 1 %, 5 %, and 10 % level, respectively.

Table B2:

Permutation test for the 9th grade sample.

9th grade sample
(1)
Age 0.461
Gender 0.464
Minority 0.201
Local student 0.454
Only child 0.476
Owning computer 0.484
Suspension in primary school 0.257
Grade repetition in primary school 0.295
Whether fathers have a college education or above 0.330
Whether mothers have a college education or above 0.301
Low-income family 0.396
  1. Data are from the 2013–2014 CEPS.

Table B3:

The effects of peers with severe sickness experience on students’ tracking status.

Untrackable
(1)
Share of peers with severe sickness experience 0.012
(0.014)
Student controls Yes
Class controls Yes
School-grade fixed effects Yes
R 2 0.129
Observations 3,611
  1. Data are from the 2013–2014 and the 2014–2015 CEPS. Each column presents the results from a separate regression. Student controls include students’ age and dummy variables indicating gender, minority, local student, only child, whether they own computer, whether they were suspended in primary school, whether they repeated a grade in primary school, whether fathers have a college education or above, whether mothers have a college education or above, and whether they come from a low-income family. Class controls include head teacher’s age, gender, education, working experience, marital status, and whether the class is large. All regressions include school-grade fixed effects. Standard errors in parentheses are clustered at the class level. ***, **, and *denote statistical significance at the 1 %, 5 %, and 10 % level, respectively.

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Received: 2024-09-25
Accepted: 2025-10-27
Published Online: 2025-11-18

© 2025 Walter de Gruyter GmbH, Berlin/Boston

Heruntergeladen am 20.11.2025 von https://www.degruyterbrill.com/document/doi/10.1515/bejeap-2024-0334/html
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