Your new experience awaits. Try the new design now and help us make it even better

ORIGINAL RESEARCH article

Front. Psychol., 27 October 2025

Sec. Educational Psychology

Volume 16 - 2025 | https://doi.org/10.3389/fpsyg.2025.1677658

The impact of dormitory atmosphere on academic performance in medical university: a cross-sectional study

Ying Xu&#x;Ying Xu1Rujing Xu&#x;Rujing Xu1Junjie Wu&#x;Junjie Wu1Yuehan WenYuehan Wen1Nuo XuNuo Xu1Yiwen GaoYiwen Gao1Zixin LiangZixin Liang1Jianzhong WangJianzhong Wang2Jie HuJie Hu2Xiaqiu WuXiaqiu Wu3Binyan Wang
Binyan Wang1*Jing Fang
Jing Fang1*
  • 1School of Public Health, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
  • 2Department of Student Affairs, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
  • 3Academic Affairs Office, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China

Introduction: Academic performance (AP) serves as a comprehensive measure of students’ academic proficiency and learning status, while dormitory atmosphere plays a significant role in shaping students’ daily lives. This study investigated the impact of dormitory atmosphere on the AP of college students.

Methods: A questionnaire-based survey was conducted at Zhejiang Chinese Medical University, incorporating the grade point average (GPA) of each participant as part of the research data. The study included 601 participants.

Results: The study found that dormitory hygiene and dormitory interpersonal atmosphere were significantly correlated with AP (OR = 0.54, 95% CI [0.36, 0.83], p = 0.004; OR = 1.60, 95% CI [1.10, 2.31], p = 0.014), whereas the dormitory academic atmosphere within the dormitory showed no significant association (OR = 0.91, 95% CI [0.62, 1.33], p = 0.624). Subgroup analysis revealed that dormitory hygiene (OR = 2.86, 95% CI [1.70, 4.82], p < 0.001) and dormitory interpersonal atmosphere (OR = 0.41, 95% CI [0.25, 0.66], p < 0.001) significantly influenced AP among female students, whereas no significant effects were observed in male students.

Discussion: These findings provide valuable insights into factors influencing AP and offer guidance for creating a supportive dormitory environment for college students.

1 Introduction

Academic performance (AP), which serves as a comprehensive indicator of students’ learning level and learning status (Wang et al., 2022), has highly predictive effect on their future career development (Peng et al., 2021). Students with an outstanding AP may receive scholarships, job offers, and even be recommended to pursue a graduate degree at prestige universities. Conversely, students with poor AP may be difficult in finding desirable employment opportunities and may not even be successful in graduating (Zayed et al., 2022). Therefore, it is crucial to investigate the factors that impact their AP and intervene accordingly and timely so that their AP could be ideal.

Dormitories, in these years, have become more than traditional residential spaces and particularly conducive to people’s informal and non-institutionalized learning activities (Allaste et al., 2022; Thomsen, 2007). A recent study found that College students are even going through a shift from traditional classroom that offers formal education to this informal and flexible learning environments (Valtonen et al., 2021). In China, almost all universities adopt a full-time boarding system for undergraduates. Dormitories are one of the most frequently used spaces throughout students’ college years (He and Zeng, 2025), making this residential environment of university students critical yet understudied determinant of AP (Thompson et al., 1993).

Dormitory atmosphere is the overall cognition of dormitory environment of college students. It is a relatively lasting psychological cognition widely shared by dormitory members, and a representation of dormitory characteristics, events and operation process. It usually includes the material environment and non-material environment of dormitory (Yancui, 2007; Jin, 2002). Most studies suggested dormitory environment is positively correlated with students’ better AP (Wayne et al., 2013; Desai et al., 2022; Sharma et al., 2024; Berhanu and Sewagegn, 2024). Bad dormitory environment can destroy students’ sleep, lead to mental disorder, thereby harming their AP (Li et al., 2022; Darvishi et al., 2025). Additionally, as one of the imperative social elements in universities, the interpersonal atmosphere of dormitory is also associated with students’ academic achievements (Khursheed and Baig, 2014). By analyzing longitudinal data from 5,272 undergraduate students at a university in China, where roommates were randomly assigned and lived together for a long period of time, a previous study found that the similarity of roommates’ AP in the actual data was significantly higher than that expected from a random assignment model (i.e., “the roommate zero model”) (Cao et al., 2024). This assimilation effect increased with the amount of time roommates lived together, suggesting the great influence of the non-material environment of dormitory on students’ AP.

Although dormitory affects students’ AP in multiple ways, some evidence predicts gender differences in the impact of dorm environments on student achievement. Functional imaging studies reveal that women exhibit stronger neurochemical responses to social stressors (e.g., interpersonal conflicts), which may heighten sensitivity to dormitory dynamics (Pasion et al., 2023). For instance, Magolda and Astin found that social interactions in residential settings have a significant impact on AP, and that females may be more susceptible to environmental influences (Astin, 1993). Pascarella and Terenzini noted that social support in residential settings may have a greater impact on AP for women than for men (Pascarella and Terenzin, 2005). Although these studies explored the differences in many aspects between male and female, there are still relatively few studies available exploring the differential impact of dormitory on male and female AP (Pascarella and Terenzin, 2005).

As microcosms of social, academic, and personal development, dormitories intersect with three key dimensions—dormitory hygiene, dormitory academic atmosphere, and dormitory interpersonal atmosphere—each of which may uniquely and synergistically shape students’ educational outcomes (Sharma et al., 2022; Ismail et al., 2020; Collie et al., 2016; Martin, 2014; Rania et al., 2014). While existing research had explored some effects of dormitory (de Araujo and Murray, 2010; Manson-Dioso and Iglesia, 2021), the interplay of these three dimensions, alongside gender-specific dynamics, remained poorly understood.

Therefore, this study aimed to investigate the interaction of college dormitory hygiene, academic atmosphere interpersonal atmosphere in China and their differential influence on male and female undergraduates’ AP through a cross-sectional study. We hoped this study could have some implication for a positive and long-term significance for future education policies.

2 Methods

2.1 Study design

This was an explorative and cross-sectional study that was conducted at Zhejiang Chinese Medicine University (ZCMU), which is located in the Yangtze River Delta region of China. Upon enrollment, the students were usually housed in the dormitories on campus provided by the university. There were four to six students lived in one room, and the students were randomly allocated without consideration of other factors such as student origin and ethnicity. A self-reported questionnaire (Wen, 2006; Wu, 2020; Hu, 2006; Guo, 2016; Ren, 2021) was conducted between May and August of 2023 in the dormitories on the campus and their study situation and dorm atmosphere were surveyed. Grade point average (GPA) was provided by ZCMU’s Academic Affairs Office. This study was approved by the ethical committee of ZCMU (No. 20230427-2).

2.2 Subjects

In this study, full-time undergraduates enrolled at ZCMU between 2018 and 2022 were recruited. The inclusion criteria for participant selection were: (1) reside long-term in the dormitory provided by the university; (2) normal participation in courses and examinations; and (3) demonstration of sufficient cognitive ability to provide reliable responses to the questionnaire.

Eligible students were interviewed, recruited and informed on ZCMU campus, with the informed consent forms obtained from all enrollees and the questionnaires completed electronically via QR code or on paper.

2.3 Measurements

2.3.1 Dormitory atmosphere as the exposure

Based on “Impact in the roommate effect on the college students’ AP questionnaire” (Hu, 2018), an “Undergraduate dormitory atmosphere questionnaire” for data collection was designed, which contained a total of 24 questions and was divided into 3 parts: socio-demographic characteristics, personal ability and habit, dormitory atmosphere (dormitory hygiene, dormitory academic atmosphere, and dormitory interpersonal atmosphere) questionnaire. Indexes including the KMO coefficient and Cronbach’s alpha are calculated to evaluate the validity and reliability of the questionnaire (KMO = 0.737, Cronbach’s alpha = 0.327). The KMO coefficient ranges from 0 to 1. The closer the coefficient is to 1, the higher the structural validity of the questionnaire. Kaiser proposed that a KMO value of 0.5 is barely acceptable, 0.7 to 0.8 is considered good, and above 0.9 is excellent (Kaiser and Rice, 1974; Bernard et al., 2020; Tun, 2025; Habib et al., 2025). The KMO value in this study was 0.737, indicating that the factors derived from the analysis possess high reliability and confirming that the sample size was adequate. The detailed questionnaire and the scoring criteria can be seen in Supplementary Table S2. Additionally, we conduct reliability tests for each dimension separately to see the reliability for each dimension, which was shown in Supplementary Table S3.

2.3.1.1 Dormitory hygiene score

This study investigated the frequency of individual cleaning, the frequency of group cleaning, and the results of actual school dormitory hygiene inspection. Dormitories were rated as failing, fair, good, or excellent based on inspection results. Individual cleaning frequency, group cleaning frequency, and actual school dormitory hygiene inspection results were assigned points. The cumulative score of the last three indicators was the indicator of personal dormitory hygiene. The total indicator of dormitory hygiene score was obtained by adding the individual dormitory hygiene indicators of students in the same dormitory.

2.3.1.2 Dormitory academic atmosphere score

This study measured the dormitory academic atmosphere from four aspects: frequency of learning communication behavior, frequency of learning information sharing, individual learning engagement, and additional learning engagement under peer influence. The dormitory academic atmosphere score is obtained by adding up the individual academic atmosphere index of students in the same dormitory.

2.3.1.3 Dormitory interpersonal atmosphere score

This study investigated the harmonious degree of dormitory interpersonal communication from three aspects: communication, collective consciousness, and conflict. Negative indicators such as conflict are given a negative score, while positive indicators such as communication and collective consciousness are given a positive score. Personal interpersonal communication index is obtained by the accumulation of scores, and the Dormitory interpersonal atmosphere score of students in the same dormitory is added to get the dormitory interpersonal atmosphere index.

2.3.2 Academic performance as the main outcomes

Academic performance (AP) was assessed through a combination of GPA, competition results and research papers. Grade point average (GPA) is a system used in high schools and colleges to measure a student’s performance and academic achievement (Ultimate Lexicon, 2025). For the purpose of adjusting for restriction of range, current GPA was calculated for every student in this study (Westrick, 2017). Due to the variety and gold content of university students’ discipline competitions, only the awards of Zhejiang provincial level and above are included in the discipline competitions, and the cumulative statistics of the number of awards are carried out. The score of scientific research papers is calculated by adding up the number of published papers, because considering the difficulty of publishing papers for undergraduates, the quality of papers is not subdivided. In the actual data processing, it is found that less than 1% of the students have won prizes in competitions and published papers. These two variables are excluded, and only GPA is considered as the criterion for judging AP. Participants’ GPA was obtained through the academic affairs system in Zhejiang Chinese Medical University and those with GPAs in the top 30% of their grades in the same major are judged to have high AP according to the “Zhejiang Chinese Medicine University Undergraduate Scholarship Evaluation Measures.”

2.4 Other variables as confounders

Variables represent baseline characteristics of the participants, and identified as potential confounding factors that could exert an influence on the outcome based on previous studies (Afolabi, 2019; Jobbehdar Nourafkan et al., 2020) or discussions conducted in the research team, were considered in this study and grouped into two categories as follows: (1) socio-demographic characteristics, including sex (male, female), maternal education (junior high school or below, high school, bachelor, master or above), paternal education (junior high school or below, high school, bachelor, master or above), monthly expense (<$200, $200–$600, >$600), learning atmosphere in the family (poor, fair, good) (defined by how many books you have in home); and (2) personal ability and habit, including student leadership experience (no, yes), honors (no, yes), early to bed (seldom, often, daily) (defined by the number of days in a week when the bedtime point is around 23:30 or before), early to rise (seldom, often, daily) (defined by the number of days in a week when the wake-up time is around 8:00 or before), study time (less, average, more).

2.5 Statistical analysis

Enrollees’ basic characteristics are quantitatively summarized: medians and interquartile ranges (IQR) for non-normally distributed continuous data, and frequencies and proportions for categorical data. Kolmogorov–Smirnov test was used to assess the normality of continuous variable distributions in the dataset. All continuous did not satisfy the assumption of normality, variable dormitory hygiene, dormitory academic atmosphere, and dormitory interpersonal atmosphere were treated with median binary classification.

Binomial logistic regression models, a model used to study the association between binary dependent variable and any independent variable, were applied to assess the association between dormitory atmosphere and AP using SPSS 25.0. AP, which was assessed by GPA, was set as the dependent variable. Covariant, such as student leadership experience, honors, maternal and paternal education, monthly expenses, family learning atmosphere, sleep habits (early to bed and early to rise), and study time, were chosen as the independent variable. To explore the independent and interactive effects of dormitory hygiene, academic atmosphere and interpersonal atmosphere on AP, we have set four model incorporating additional independent variable. Model 1–3 additionally incorporated dormitory hygiene, dormitory academic atmosphere and dormitory interpersonal atmosphere as the independent variable, respectively. Model 4 included all three dormitory-related factors (dormitory hygiene, dormitory academic atmosphere, and dormitory interpersonal atmosphere). And to explore the moderating effect of sex, we calculated the strength of the association between dormitory atmosphere and AP in both the male and female subgroups.

Prior to conducting regression analysis with the adjustments for the selected covariates, we assessed multicollinearity among the independent variables by calculating variance inflation factors (VIFs). No multicollinearity was found (Supplementary Table S1). A two-sided p-value <0.05 was deemed statistically significant. Statistical analyses were conducted using R version 4.3.2 and SPSS 25.

3 Results

3.1 Sample characteristics

A total of 601 participants were enrolled, and Table 1 presents their baseline characteristics. The median values for Dormitory Hygiene, dormitory academic atmosphere, dormitory interpersonal atmosphere and GPA were 2.67 (IQR: 1.00), 1.95 (IQR: 0.40), 2.80 (IQR: 0.40), and 3.05 (IQR: 0.74), respectively. The majority of participants were female (58.60%), had student leadership experience (69.20%), and had received honors (58.80%). In addition, the majority reported maternal education at junior high school or below (46.10%), paternal education at junior high school or below (43.80%), and monthly expenses ranging between $200 and $600 (94.00%). Furthermore, a significant proportion perceived their family learning atmosphere as poor (48.60%), reported a habit of going to bed early (59.90%) and waking up early (79.50%), and considered their study time to occupy an average proportion of their extracurricular life (88.70%). Furthermore, the study indicates that 65.60% of the students are categorized as low achievers in terms of their AP.

Table 1
www.frontiersin.org

Table 1. Enrollee characteristics.

3.2 Regression analysis between dormitory atmosphere and AP

Table 2 presents the results of logistic regression analyses examining the association between dormitory atmosphere and AP, adjusted for sex, student leadership experience, academic honors, parental education levels, monthly expenses, family learning atmosphere, sleep patterns, and study time, revealing that dormitory hygiene was negatively associated with AP (Model 1: OR = 0.54, 95% CI [0.36, 0.83], p = 0.004), dormitory academic atmosphere showed no statistically significant relationship with AP (Model 2: OR = 0.91, 95% CI [0.62, 1.33], p = 0.624), and dormitory interpersonal atmosphere was positively correlated with AP (Model 3: OR = 1.60, 95% CI [1.10, 2.31], p = 0.014), while in the combined analysis (Model 4), dormitory hygiene (OR = 0.56, 95% CI [0.37, 0.85], p = 0.006) and dormitory interpersonal atmosphere (OR = 1.57, 95% CI [1.08, 2.29], p = 0.018) remained significantly associated with AP, and dormitory academic atmosphere continued to exhibit no significant correlation.

Table 2
www.frontiersin.org

Table 2. Regression analysis between dormitory atmosphere and AP.

3.3 The association between dormitory atmosphere and AP stratified by sex

Table 3 presents gender-stratified analysis of the association between dormitory atmosphere and AP. In the male cohort, no significant associations were observed between dormitory atmosphere (dormitory hygiene, dormitory academic atmosphere and dormitory interpersonal atmosphere) and AP. In contrast, among females, dormitory hygiene showed a significant positive correlation with AP (Model 1: OR = 2.95, 95% CI [1.78, 4.88], p < 0.001), while dormitory interpersonal atmosphere exhibited a significant negative correlation (Model 3: OR = 0.38, 95% CI [0.24, 0.61], p < 0.001). In the combined analysis (Model 4), no significant association with AP was observed among males, while among females, dormitory hygiene remained positively correlated (OR = 2.86, 95% CI [1.70, 4.82], p < 0.001), and dormitory interpersonal atmosphere showed a persistent negative correlation (OR = 0.41, 95% CI [0.25, 0.66], p < 0.001).

Table 3
www.frontiersin.org

Table 3. Association between dormitory atmosphere and AP stratified by sex.

4 Discussion

This study found that the dormitory atmosphere is significantly correlated with students’ AP. Specifically, dormitory hygiene demonstrated a negative correlation with AP, whereas interpersonal relationships within the dormitory exhibited a positive correlation. However, no significant association was observed between the academic atmosphere in dormitories and students’ AP.

Contrary to studies emphasizing the benefits of hygiene for students’ AP (Ramli et al., 2021; Rafiq and Kamran, 2022), our results revealed a negative correlation between dormitory hygiene and AP. This may be attributed to the Simpson’s Paradox (Hernán et al., 2011). It’s a common statistical phenomenon that indicates simply summarizing grouped data may lead to misleading conclusions. Gender, as an important confounding factor between dormitory atmosphere and AP, distorts the causal relationship between the two in the combined analysis and fails to reflect the true relationship. In our study, the women’s dormitory atmosphere scores and AP were significantly higher than the men’s., which caused a distortion and generated a weak positive correlation trend in the pooled regression. The merged ‘positive correlation’ may only reflect the overall trend of females having higher AP and higher dormitory atmosphere, completely masking the true relationship between AP and dormitory atmosphere within each group. Consequently, we conducted subgroup analysis on males and females in this study. We found a positive correlation between dormitory hygiene and AP in women, but no correlation in men. This may be due to the fact that women’s hygiene norms are stricter than men’s (Eriksson et al., 2022), which leads to the stronger influence of dormitory hygiene on women. Women are likely to be more sensitive to dormitory hygiene, which makes poor dormitory hygiene more likely to affect their AP. Male students’ academic achievement was more strongly tied to extracurricular engagement (e.g., sports teams, part-time jobs) than to residential environments, suggesting that off-campus identity-building activities buffer institutional influences (Crosnoe and Muller, 2014). Additionally, dormitory hygiene scores were based on administrators’ subjective observations (e.g., bed tidiness) rather than objective indicators (e.g., microbiological testing). In ZCMU, the proportion of female managers is significantly higher than that of male managers. Due to the interpersonal relation and the different living habits of males and females, female administrators tend to give lower scores to male dormitory than female dormitory (Joshi et al., 2015). This subjectivity may result in scores that are decoupled from real hygiene conditions and do not reflect actual health gains, thereby masking positive associations or reinforcing false negative correlations.

The lack of association between academic atmosphere and GPA contradicts earlier work highlighting peer-driven study norms (Rania et al., 2014; Ismail et al., 2020; Sacerdote, 2001; Booij et al., 2017; Zimmerman, 2003). This discrepancy likely reflects evolving learning behaviors in the digital age. The proliferation of smartphone uses and the availability of a variety of educational apps has prompted a departure from traditional learning methods (Hattie, 2023). Also, Demir and Akpınar found that the students appreciated mobile learning as an approach that may significantly increase their motivation (Demir and Akpınar, 2018). Furthermore, self-regulated learners (Zimmerman and Risemberg, 1997; Theobald, 2021) may buffer environmental distractions, rendering peer study habits less impactful.

The findings of this study suggest a significant positive correlation between interpersonal atmosphere in dormitories and students’ AP in merged analysis. This aligns with prior research emphasizing the critical role of interpersonal atmosphere in shaping educational outcomes (Cao et al., 2024; Khan et al., 2023). However, some striking results were found in the subgroup analysis, which found an inverse correlation between dorm room interpersonal climate and academic achievement among women, while no correlation was found among men. The paradox can also be explained by the Simpson’s Paradox (Hernán et al., 2011) caused by genders. And the reason for the difference between males and females can be related to that neurobehavioral and sociocultural factors may amplify gender disparities in dormitory impacts. Women exhibit heightened HPA-axis activation to social stressors (e.g., interpersonal conflicts), amplifying dormitory impacts (Brydges et al., 2020). Additionally, a previous study also found that women are more likely to maintain harmonious dormitory relationships, and they may spend more time on non-academic social activities (such as emotional exchanges, group activities), thereby crowding out study time and harming their AP.

Our study refined the dormitory atmosphere into three core dimensions: dormitory hygiene, dormitory academic atmosphere, and dormitory interpersonal atmosphere, explored their independent and interactive roles, and explored gender differences, breaking through the simplified treatment of a single dimension of the dormitory atmosphere and the lack of gender heterogeneity in previous studies (Braim et al., 2023; Araujo and Murray, 2021). However, there were still some limitations in our study. First, the analysis was based on cross-sectional data, making it difficult to clarify the causal relationship between dormitory atmosphere and academic achievement. Additionally, the Cronbach’s alpha coefficient for the questionnaire was 0.327. This may be attributed to the fact that Cronbach’s alpha is calculated based on the unidimensional assumption. When applied to scales measuring multiple independent factors, the resulting coefficient fails to accurately reflect the scale’s reliability and may be misleading (Raykov et al., 2024; Barbaranelli et al., 2015). For example, Barbaranelli et al. demonstrated through empirical cases involving The Self-Care of Health Failure (SCHFI) that multiple researchers reported poor alpha coefficients for SCHFI (Barbaranelli et al., 2015; Vellone et al., 2014; Kato et al., 2013; Yu et al., 2011). Meanwhile, the limited number of our questionnaire questions may also lead to this result Furthermore, we adopted the method of convenience sampling when collecting the questionnaires, the “Undergraduate dormitory atmosphere questionnaire” was only distributed in ZCMU, it might have caused selection bias. Future studies should be expanded to include more schools. In addition, dormitory atmosphere indicators rely on students’ subjective reports, answers may be influenced by personal emotions, memory biases, or social expectations (e.g., hiding negative attitudes), reducing objectivity. Other validated methods of assessing dormitory atmosphere should be considered in future studies. Finally, for the above reasons, including the small sample size, the results of our study may be slightly different from those of previous studies. In the future, a longitudinal study with a large sample and objective indicators is worth looking forward to.

5 Conclusion

Our study showed that dormitory atmosphere was closely related to students’ AP, especially the hygiene of the dormitory and the interpersonal atmosphere of the dormitory, and emphasized its unique importance among women. Therefore, it is vital to pay attention to the shaping of the atmosphere of college students’ dormitories, which will be of great significance to their future development.

Data availability statement

The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding authors.

Ethics statement

The studies involving humans were approved by Medical Ethics Committee of Zhejiang Chinese Medical University. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study. Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.

Author contributions

YX: Project administration, Visualization, Methodology, Formal analysis, Data curation, Investigation, Funding acquisition, Writing – review & editing, Conceptualization, Writing – original draft. RX: Writing – original draft, Writing – review & editing, Investigation, Methodology, Data curation, Formal analysis, Visualization. JW: Writing – review & editing, Visualization, Data curation, Formal analysis, Methodology, Investigation. YW: Methodology, Writing – review & editing, Formal analysis, Investigation, Data curation. NX: Investigation, Writing – review & editing, Formal analysis, Data curation, Methodology. YG: Writing – review & editing, Formal analysis, Methodology, Investigation, Data curation. ZL: Methodology, Investigation, Writing – review & editing, Data curation, Formal analysis. JZW: Conceptualization, Writing – review & editing, Supervision. JH: Writing – review & editing, Supervision, Conceptualization. XW: Conceptualization, Writing – review & editing, Supervision. BW: Conceptualization, Writing – review & editing, Supervision. JF: Supervision, Conceptualization, Writing – review & editing, Funding acquisition.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by On the Formation Path of the “Scholar Dormitory” and its Revelation, 2022JKXSY09; The Research on Reform and Innovation of Practice Teaching System of Preventive Medicine Specialty and its Revelation, jg20220297 and Research on Ideological and Political Education Evaluation in Chinese Medicine Colleges under the OBE Concept: Construction of an AI-empowered “Five-Dimensional and Five-Oriented” System and its Revelation, 2025JKSKTS02.

Acknowledgments

The work reported here was highly supported by Zhejiang Chinese Medicine University. Special thanks to the teachers and students who helped recruit the participants.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The authors declare that no Gen AI was used in the creation of this manuscript.

Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpsyg.2025.1677658/full#supplementary-material

Abbreviations

AP, Academic performance; GPA, Grade point average; ZCMU, Zhejiang Chinese Medicine University; OR, Odds ratio; IQR, Interquartile ranges; 95% CI, 95% Confidence interval; VIF, Variance inflation factor; HPA axis, Hypothalamus-pituitary-adrenal axis.

References

Afolabi, A. (2019). Influence of peer pressure on academic performance and social behaviour of students with physical and health impairment. Int. J. Innov. Psychol. Soc. Dev. 2, 91–96.

Google Scholar

Allaste, A.-A., Beilmann, M., and Pirk, R. (2022). Non-formal and informal learning as citizenship education: the views of young people and youth policymakers. J. Appl. Youth Stud. 5, 19–35. doi: 10.1007/s43151-021-00059-z

Crossref Full Text | Google Scholar

Araujo, P., and Murray, J. (2021). Estimating the effects of dormitory living on student performance. Econ. Bull. 30, 866–878. doi: 10.2139/ssrn.1555892

Crossref Full Text | Google Scholar

Astin, A. W. (1993). What matters in college?: Four critical years revisited. 1st Edn. San Francisco: Jossey-Bass.

Google Scholar

Barbaranelli, C., Lee, C. S., Vellone, E., and Riegel, B. (2015). The problem with Cronbach's alpha: comment on Sijtsma and van der ark. Nurs. Res. 64, 140–145. doi: 10.1097/NNR.0000000000000079

Crossref Full Text | Google Scholar

Berhanu, K. Z., and Sewagegn, A. A. (2024). The role of perceived campus climate in students' academic achievements as mediated by students' engagement in higher education institutions. Cogent Educ. 11:2377839. doi: 10.1080/2331186X.2024.2377839

Crossref Full Text | Google Scholar

Bernard, D. T., Munasinghe, A. A., Premarathne, I. K., and Wijayarathne, S. (2020). The influence of Facebook marketing on consumer buying intention of clothing: evidence from young adults. Arch. Bus. Res. 8, 37–51. doi: 10.14738/abr.89.8992

Crossref Full Text | Google Scholar

Booij, A. S., Leuven, E., and Oosterbeek, H. (2017). Ability peer effects in university: evidence from a randomized experiment. Rev. Econ. Stud. 2, 547–578. doi: 10.1093/restud/rdw045

Crossref Full Text | Google Scholar

Braim, S., Qadir, N. M., and San, N. (2023). Effect of dormitory living on academic performance of students at university of sulaimani. J. Zankoy Sulaimani. 20:10. doi: 10.13140/RG.2.2.33718.47689

Crossref Full Text | Google Scholar

Brydges, N. M., Best, C., and Thomas, K. L. (2020). Female HPA axis displays heightened sensitivity to pre-pubertal stress. Stress 23, 190–200. doi: 10.1080/10253890.2019.1658738

Crossref Full Text | Google Scholar

Cao, Y., Zhou, T., and Gao, J. (2024). Heterogeneous peer effects of college roommates on academic performance. Nat. Commun. 15:4785. doi: 10.1038/s41467-024-49228-7

PubMed Abstract | Crossref Full Text | Google Scholar

Collie, R. J., Martin, A. J., Papworth, B., and Ginns, P. (2016). Students' interpersonal relationships, personal best (PB) goals, and academic engagement. Learn. Individ. Differ. 45, 65–76. doi: 10.1016/j.lindif.2015.12.002

Crossref Full Text | Google Scholar

Crosnoe, R., and Muller, C. (2014). Family socioeconomic status, peers, and the path to college. Soc. Probl. 4, 602–624. doi: 10.1525/sp.2014.12255

Crossref Full Text | Google Scholar

Darvishi, A., Almani, N., Zarimeidani, F., Rahmati, R., and Raeisi Shahraki, H. (2025). The silent burden: understanding alexithymia and its correlation with university student depression, anxiety, and stress in a cross-sectional study. Health Sci. Rep. 8:e70677. doi: 10.1002/hsr2.70677

Crossref Full Text | Google Scholar

de Araujo, P., and Murray, J. (2010). Effects of dormitory living on student performance. Hershey, PA, USA: IGI Global.

Google Scholar

Demir, A. K., and Akpınar, E. (2018). The effect of mobile learning applications on students' academic achievement and attitudes toward mobile learning. Malaysian online Journal of. Educ. Technol. 6, 48–59. doi: 10.17220/mojet.2018.02.004

Crossref Full Text | Google Scholar

Desai, M., Pandit, U., Nerurkar, A., and Verma, C. (2022). Perception of educational environment as a predictor of academic performance in physiotherapy students. J. Educ. Health Promot. 11:174. doi: 10.4103/jehp.jehp_1403_21

PubMed Abstract | Crossref Full Text | Google Scholar

Eriksson, K., Dickins, T. E., and Strimling, P. (2022). Global sex differences in hygiene norms and their relation to sex equality. PLOS Glob. Public Health 2:e0000591. doi: 10.1371/journal.pgph.0000591

PubMed Abstract | Crossref Full Text | Google Scholar

Guo, W. J. (2016). The study of affecting factors on undergraduate dormitory culture. Taiyuan, Shanxi Province, China: Shanxi University.

Google Scholar

Habib, N. S., Kadhim, A. T., and Hamad, M. K. (2025). Identifying the Most important factors that help in adopting AI in the field of accounting: an applied study in the local Iraqi environment. Glob. J. Econ. Financ. Res. 2, 97–104. doi: 10.55677/gjefr/03-2025-vol02e2

Crossref Full Text | Google Scholar

Hattie, L. (2023). Impact of mobile learning apps on study habits and academic performance of college students in the United States: a review of literature. J. Educ. 6, 13–22. doi: 10.53819/81018102t4182

Crossref Full Text | Google Scholar

He, W., and Zeng, N. (2025). The relationship between university dormitory environmental factors and students’ informal learning experiences: a case study of three universities in Guangdong Province. Buildings 15:2518. doi: 10.3390/buildings15142518

Crossref Full Text | Google Scholar

Hernán, M. A., Clayton, D., and Keiding, N. (2011). The Simpson's paradox unraveled. Int. J. Epidemiol. 40, 780–785. doi: 10.1093/ije/dyr041

PubMed Abstract | Crossref Full Text | Google Scholar

Hu, X. M. (2006). Sex distinction and college students’dormitory culture—The investigation of college students in HUST of Wuhan. Wuhan, Hubei Province, China: Huazhong University of Science and Technology.

Google Scholar

Hu, Y. (2018). Research impact in the "roommate effect" on college students' academic performance. Nanchang, Jiangxi Province, China: Jiangxi University of Finance and Economics.

Google Scholar

Ismail, S. N., Rahman, F. A., and Yaacob, A. (2020). School climate and academic performance. New York, US: Oxford Research Encyclopedia of Education.

Google Scholar

Jin, X. (2002). Research on the construction of college students' dormitory culture. Hubei Province, China: Central China Normal University.

Google Scholar

Jobbehdar Nourafkan, N., Jumah, B., Asif, R., and Dehghanmongabadi, A. (2020). Conflicts between students living on-campus dormitories: the case of dormitories at eastern mediterranean university campus. SEISENSE J. Manag. 4:31. doi: 10.33215/sjom.v3i4.397

Crossref Full Text | Google Scholar

Joshi, A., Son, J., and Roh, H. (2015). When can women close the gap? A meta-analytic test of sex differences in performance and rewards. Acad. Manag. J. 58, 1516–1545. doi: 10.5465/amj.2013.0721

Crossref Full Text | Google Scholar

Kaiser, H. F., and Rice, J. (1974). Little jiffy, mark IV. Educ. Psychol. Meas. 34, 111–117. doi: 10.1177/001316447403400115

Crossref Full Text | Google Scholar

Kato, N., Kinugawa, K., Nakayama, E., Tsuji, T., Kumagai, Y., Miura, C., et al. (2013). Psychometric testing of the Japanese version of the self-Care of Heart Failure Index. J. Card. Fail. 19:S46. doi: 10.1016/j.cardfail.2013.06.152

PubMed Abstract | Crossref Full Text | Google Scholar

Khan, Z., Athar, S., Mehmood, U., and Khan, W. (2023). The effect of peer relation and peer pressure on the performance of university students: a quantitative study. Pak. J. Humanit. Soc. Sci. 11, 3577–3585. doi: 10.52131/pjhss.2023.1103.0638

Crossref Full Text | Google Scholar

Khursheed, I., and Baig, L. (2014). Students' perceptions of educational environment of a private medical school in Pakistan. J. Pak. Med. Assoc. 64, 1244–1249.

Google Scholar

Li, M., Han, Q., Pan, Z., Wang, K., Xie, J., Zheng, B., et al. (2022). Effectiveness of multidomain dormitory environment and roommate intervention for improving sleep quality of medical college students: a cluster randomised controlled trial in China. Int. J. Environ. Res. Public Health 19:15337. doi: 10.3390/ijerph192215337

PubMed Abstract | Crossref Full Text | Google Scholar

Manson-Dioso, M., and Iglesia, A. B. (2021). From home to dorm: views on its influence in the academic performance of students. IJEPC 40, 99–112. doi: 10.35631/IJEPC.640008

Crossref Full Text | Google Scholar

Martin, A. (2014). “Interpersonal relationships and students' academic and non-academic development” in Interpersonal relationships in education. eds. D. Zandvliet, P. D. Brok, T. Mainhard, and J. V. Tartwijk (Rotterdam: SensePublishers).

Google Scholar

Pascarella, E. T., and Terenzin, P. (2005). “How college affects students: A third decade of research.” San Francisco, CA, USA: Jossey-Bass.

Google Scholar

Pasion, R., Macedo, I., Paiva, T. O., Patrick, C. J., Krueger, R. F., and Barbosa, F. (2023). Neurobehavioral mechanisms of comorbidity in internalizing and externalizing psychopathology: an RDoC multimethod assessment. J. Psychopathol. Behav. Assess. 45, 793–808. doi: 10.1007/s10862-023-10073-5

Crossref Full Text | Google Scholar

Peng, M. Y. P., Wang, L., Yue, X., Xu, Y., and Feng, Y. (2021). A study on the influence of multi-teaching strategy intervention program on college students' absorptive capacity and employability. Front. Psychol. 12:631958. doi: 10.3389/fpsyg.2021.631958

Crossref Full Text | Google Scholar

Rafiq, S., and Kamran, F. (2022). Impact of school environment on students' academic achievements at the university level. VFAST Trans. Educ. Soc. Sci. 10, 19–30. doi: 10.21015/vtess.v10i4.1216

Crossref Full Text | Google Scholar

Ramli, A., Mohd Zain, R., Zain, M., and Rahman, A. A. A. (2021). Environmental factors and academic performance: the mediating effect of quality of life. Cham, Switzerland: Springer International Publishing.

Google Scholar

Rania, N., Siri, A., Bagnasco, A., Aleo, G., and Sasso, L. (2014). Academic climate, well-being and academic performance in a university degree course. J. Nurs. Manag. 6, 751–760. doi: 10.1111/j.1365-2834.2012.01471.x

Crossref Full Text | Google Scholar

Raykov, T., Marcoulides, G., Anthony, J., and Menold, N. (2024). Evaluating Cronbach’s coefficient alpha and testing its identity to scale reliability: a direct Bayesian confirmatory factor analysis procedure. Measurement 22, 78–89. doi: 10.1080/15366367.2023.2201963

Crossref Full Text | Google Scholar

Ren, Y. R. (2021). Undesirable habits in contemporary college students' dormitory life and countermeasures. Harbin, Heilongjiang Province, China: Heilongjiang University.

Google Scholar

Sacerdote, B. (2001). Peer effects with random assignment: results for Dartmouth roommates. Q. J. Econ. 2, 681–704. doi: 10.1162/00335530151144131

Crossref Full Text | Google Scholar

Sharma, M. K., Adhikari, R., Khanal, S. P., Acharya, D., and van Teijlingen, E. (2024). Do school water, sanitation, and hygiene facilities affect students' health status, attendance, and educational achievements? A qualitative study in Nepal. Health Sci. Rep. 7:e2293. doi: 10.1002/hsr2.2293

Crossref Full Text | Google Scholar

Sharma, M. K., Khanal, S. P., and Adhikari, R. (2022). School water, sanitation, and hygiene: a systematic review of an effect on health, attendance, regularity, and educational achievements. Sch. J. 5, 1–21. doi: 10.3126/scholars.v5i1.55744

Crossref Full Text | Google Scholar

Theobald, M. (2021). Self-regulated learning training programs enhance university students' academic performance, self-regulated learning strategies, and motivation: a meta-analysis. Contemp. Educ. Psychol. 66:101976. doi: 10.1016/j.cedpsych.2021.101976

Crossref Full Text | Google Scholar

Thompson, J., Samiratedu, V., and Rafter, J. (1993). The effects of on-campus residence on first-time college students. NASPA J. 1, 41–47. doi: 10.1080/00220973.1993.11072336

Crossref Full Text | Google Scholar

Thomsen, J. (2007). Home experiences in student housing: about institutional character and temporary homes. J. Youth Stud. 10, 577–596. doi: 10.1080/13676260701582062

Crossref Full Text | Google Scholar

Tun, D. P. M. (2025). Purchase intention determinants for social networking sites during the post-pandemic period: a structural equation modeling approach. Hum. Behav. Dev. Soc. 26, 356–368. doi: 10.62370/hbds.v26i2.278963

Crossref Full Text | Google Scholar

Ultimate Lexicon. (2025). Grade point average (GPA): Definition, examples & quiz. Available at: https://ultimatelexicon.com/definitions/g/grade-point-average

Google Scholar

Valtonen, T., Leppänen, U., Hyypiä, M., Kokko, A., Manninen, J., Vartiainen, H., et al. (2021). Learning environments preferred by university students: a shift toward informal and flexible learning environments. Learn. Environ. Res. 24, 371–388. doi: 10.1007/s10984-020-09339-6

Crossref Full Text | Google Scholar

Vellone, E., D'Agostino, F., Buck, H. G., Fida, R., Spatola, C. F., Petruzzo, A., et al. (2014). The key role of caregiver confidence in the caregiver's contribution to self-care in adults with heart failure. Eur. J. Cardiovasc. Nurs. 14, 372–381. doi: 10.1177/1474515114547649

Crossref Full Text | Google Scholar

Wang, D., Lian, D., Xing, Y., Dong, S., Sun, X., and Yu, J. (2022). Analysis and prediction of influencing factors of college student achievement based on machine learning. Front. Psychol. 13:881859. doi: 10.3389/fpsyg.2022.881859

PubMed Abstract | Crossref Full Text | Google Scholar

Wayne, S. J., Fortner, S. A., Kitzes, J. A., Timm, C., and Kalishman, S. (2013). Cause or effect? The relationship between student perception of the medical school learning environment and academic performance on USMLE step 1. Med. Teach. 35, 376–380. doi: 10.3109/0142159X.2013.769678

PubMed Abstract | Crossref Full Text | Google Scholar

Wen, H. Y. (2006). Research of campus dormitory culture construction in university. Nanchang, Jiangxi Province, China: Jiangxi Normal University.

Google Scholar

Westrick, P. A. (2017). Reliability estimates for undergraduate grade point average. Educ. Assess. 22, 231–252. doi: 10.1080/10627197.2017.1381554

Crossref Full Text | Google Scholar

Wu, B. Q. (2020). Research on the educational function of college students’dormitory culture and its realization path. Yiwu City, Zhejiang Province, China: China Jiliang University.

Google Scholar

Yancui, Z. (2007). The survey on college students’ dormitory climate and the research on relationship between college students’ dormitory climate and college students’ mental health. Chongqing, China: Southwest University.

Google Scholar

Yu, D. S. F., Lee, D. T. F., Thompson, D. R., Jaarsma, T., Woo, J., and Leung, E. M. F. (2011). Psychometric properties of the Chinese version of the European heart failure self-care behaviour scale. Int. J. Nurs. Stud. 48, 458–467. doi: 10.1016/j.ijnurstu.2010.08.011

PubMed Abstract | Crossref Full Text | Google Scholar

Zayed, Y., Salman, Y., and Hasasneh, A. (2022). A recommendation system for selecting the appropriate undergraduate program at higher education institutions using graduate student data. Appl. Sci. 14:12525. doi: 10.3390/app122412525

Crossref Full Text | Google Scholar

Zimmerman, D. J. (2003). Peer effects in academic outcomes: evidence from a natural experiment. Rev. Econ. Stat. 1, 9–23.

Google Scholar

Zimmerman, B. J., and Risemberg, R. (1997). “Chapter 4. Self-regulatory dimensions of academic learning and motivation” in Handbook of academic learning. San Diego, CA, USA: Academic Press, 105–125. doi: 10.1162/003465303762687677

Crossref Full Text | Google Scholar

Keywords: dormitory hygiene, dormitory academic atmosphere, dormitory interpersonal atmosphere, academic performance, higher education

Citation: Xu Y, Xu R, Wu J, Wen Y, Xu N, Gao Y, Liang Z, Wang J, Hu J, Wu X, Wang B and Fang J (2025) The impact of dormitory atmosphere on academic performance in medical university: a cross-sectional study. Front. Psychol. 16:1677658. doi: 10.3389/fpsyg.2025.1677658

Received: 01 August 2025; Accepted: 07 October 2025;
Published: 27 October 2025.

Edited by:

Chei-Chang Chiou, National Changhua University of Education, Taiwan

Reviewed by:

Abatihun Alehegn Sewagegn, Debre Markos University, Ethiopia
Faiz Masnan, Universiti Malaysia Perlis, Malaysia

Copyright © 2025 Xu, Xu, Wu, Wen, Xu, Gao, Liang, Wang, Hu, Wu, Wang and Fang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Jing Fang, R29uZ3dlaTE1NDI0QDE2My5jb20=; Binyan Wang, emNtdV93YnlAMTYzLmNvbQ==

These authors have contributed equally to this work

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.