AccScience Publishing / HPR / Online First / DOI: 10.36922/HPR026140006
METHODS

PBICR-2024: Protocol and data resource profile of a national cross-sectional study on psychological and behavioral health among Chinese residents

Siyuan Fan1 Yimiao Li2 Fangjie Dong3 Wenwen Chen4 Qin Han5 Tingyu Duan6 Shuang Zang7 Xiaoming Zhou8,9 Feng Jiang10,11 Wai-kit Ming12 Xinying Sun13 Yibo Wu14*
Show Less
1 Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, United Kingdom
2 School of Nursing, Tianjin Medical University, Tianjin, China
3 School of Journalism and Communication, Chongqing University, Chongqing, China
4 School of Politics and Public Administration, Wuhan University, Wuhan, Hubei, China
5 College of Health Management, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
6 School of Journalism and Communication, Hebei Institute of Communications, Shijiazhuang, Hebei, China
7 Department of Community Nursing, School of Nursing, China Medical University, Shenyang, Liaoning, China
8 Department of Research, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
9 Department of Pharmacy, Dongying People’s Hospital, Dongying, Shandong, China
10 School of International and Public Affairs, Shanghai Jiao Tong University, Shanghai, China
11 Institute of Healthy Yangtze River Delta, Shanghai Jiao Tong University, Shanghai, China
12 Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong, China
13 Department of Social Medicine and Health Education, School of Public Health, Peking University, Beijing, China
14 Department of Nursing, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, Zhejiang, China
Received: 5 April 2026 | Revised: 1 June 2026 | Accepted: 4 June 2026 | Published online: 26 June 2026
© 2026 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract

Background: Comprehensive, standardized data on psychological and behavioral health among Chinese residents remain limited, constraining population-level research and the development of evidence-based health promotion strategies.

Objective: The 2024 Psychology and Behavior Investigation of Chinese Residents aimed to establish a large-scale, multi-center, nationally representative database to support research on physical and mental health among Chinese residents and inform health policy development.

Methods: This national cross-sectional survey was conducted from June to September 2024 using a three-stage stratified sampling strategy across 150 cities and 800 communities/villages in China. Of 38,793 distributed questionnaires, 35,861 valid responses were retained after excluding non-consenting, underage, non-Chinese, and insufficiently completed questionnaires, followed by logical quality checks (response rate: 99.05%; qualification rate: 98.95%). Trained investigators administered standardized questionnaires through face-to-face interviews, covering sociodemographic characteristics, personal health status, family information, social environment, psychological scales, behavioral scales, and attitudes toward topical social issues. Multi-level quality control procedures were implemented throughout data collection.

Results: Data collection has been completed, yielding a nationally representative dataset with multidimensional information on psychological and behavioral characteristics across 150 cities. Detailed descriptions of sampling outcomes, response rates, and data quality metrics are presented in the full protocol.

Conclusion: The 2024 Psychology and Behavior Investigation of Chinese Residents provides a comprehensive, high-quality evidence base to inform post-pandemic health promotion strategies and policy development aimed at improving physical and mental health in China and globally.

Graphical abstract
Keywords
Data quality control
Data resource
Cross-sectional studies
Health behavior
Mental health
Funding
The PBICR-2024 was supported by the Key Laboratory of Health Economics and Policy Research, National Health Commission of China (Grant No. NHC-HEPR202401) and Fundamental Research Funds for the Zhejiang Provincial Universities (Project Number: 226-2025-00256).
Conflict of interest
Both Feng Jiang and Yibo Wu serve the Editorial Board of this journal, but were not in any way involved in the editorial and peer-review process conducted for this paper, directly or indirectly. The authors declare no competing interests.
References
  1. Lazzarino AI, Hamer M, Stamatakis E, et al. The combined association of psychological distress and socioeconomic status with all-cause mortality: a national cohort study. JAMA Intern Med. 2013;173(1):22. doi:10.1001/2013.jamainternmed.951

 

  1. Sun X, Jiang Y, Chen X, Chen Y, eds. Report on National Mental Health Development in China (2023–2024). Vol 4. 1st ed. Bei jing: Social Sciences Academic Press; 2025.

 

  1. World Health Organization. World Health Statistics 2024: Monitoring Health for the SDGs, Sustainable Development Goals. World Health Organization; 2024. Accessed December 25, 2025. https://www.who.int/publications/i/ item/9789240094703

 

  1. Thalmayer AG, Toscanelli C, Arnett JJ. The neglected 95% revisited: Is American psychology becoming less American? Am Psychol. 2021;76(1):116-129. doi:10.1037/amp0000622

 

  1. National Bureau of Statistics of China. National Data. National Bureau of Statistics of China. Accessed December 25, 2025. https://data.stats.gov.cn/easyquery.htm?cn=C01

 

  1. Zeng P, Sui Y, Liu Y, et al. Heat risk during hot weather is associated with poorer self-reported mental health: A cross-sectional study in Shanghai, China. Cities. 2025;164:106078. doi:10.1016/j.cities.2025.106078

 

  1. Chiavegatto Filho ADP, Sampson L, Martins SS, et al. Neighbourhood characteristics and mental disorders in three Chinese cities: multilevel models from the World Mental Health Surveys. BMJ Open. 2017;7(10):e017679. doi:10.1136/bmjopen-2017-017679

 

  1. Lim DC, Najafi A, Afifi L, et al. The need to promote sleep health in public health agendas across the globe. Lancet Public Health. 2023;8(10):e820-e826. doi:10.1016/S2468-2667(23)00182-2

 

  1. McCloud T, Kamenov S, Callender C, et al. The association between higher education attendance and common mental health problems among young people in England: evidence from two population-based cohorts. Lancet Public Health. 2023;8(10):e811-e819. doi:10.1016/S2468-2667(23)00188-3

 

  1. Arena AF, Mobbs S, Sanatkar S, et al. Mental health and unemployment: A systematic review and meta-analysis of interventions to improve depression and anxiety outcomes. J Affect Disord. 2023;335:450-472. doi:10.1016/j.jad.2023.05.027

 

  1. Lau CKY, Saad A, Camara B, et al. Acceptability of Digital Mental Health Interventions for Depression and Anxiety: Systematic Review. J Med Internet Res. 2024;26:e52609. doi:10.2196/52609

 

  1. Nudelman G, Shiloh S. Mapping health behaviors: Constructing and validating a common-sense taxonomy of health behaviors. Soc Sci Med. 2015;146:1-10. doi:10.1016/j.socscimed.2015.10.004

 

  1. Zhao Y, Yang L, Sahakian BJ, et al. The brain structure, immunometabolic and genetic mechanisms underlying the association between lifestyle and depression. Nat Mental Health. 2023;1(10):736-750. doi:10.1038/s44220-023-00120-1

 

  1. Zhang X, Lu J, Wu C, et al. Healthy lifestyle behaviours and all-cause and cardiovascular mortality among 0.9 million Chinese adults. Int J Behav Nutr Phys Act. 2021;18(1). doi:10.1186/s12966-021-01234-4

 

  1. Huang Y, Wang Y, Wang H, et al. Prevalence of mental disorders in China: a cross-sectional epidemiological study. Lancet Psychiatry. 2019;6(3):211-224. doi:10.1016/S2215-0366(18)30511-X

 

  1. Zhao Y, Hu Y, Smith JP, et al. Cohort Profile: The China Health and Retirement Longitudinal Study (CHARLS). Int J Epidemiol. 2014;43(1):61-68. doi:10.1093/ije/dys203

 

  1. Chen Z, Chen J, Collins R, et al. China Kadoorie Biobank of 0.5 million people: survey methods, baseline characteristics and long-term follow-up. Int J Epidemiol. 2011;40(6):1652- 1666. doi:10.1093/ije/dyr120

 

  1. Luo N, Liu G, Li M, et al. Estimating an EQ-5D-5L Value Set for China. Value Health. 2017;20(4):662-669. doi:10.1016/j.jval.2016.11.016

 

  1. Koo M, Norman CD, Chang HM. Psychometric Evaluation of a Chinese Version of the eHealth Literacy Scale (eHEALS) in School Age Children. Int Electron J Health Educ. 2012;15(1).

 

  1. Jiang F, Wu Y, eds. 2023 Report on eHealth Literacy of Chinese Residents. Shanghai: Shanghai Jiao Tong University Press; 2024.

 

  1. Lee J, Lee EH, Chae D. eHealth Literacy Instruments: Systematic Review of Measurement Properties. J Med Internet Res. 2021;23(11):e30644. doi:10.2196/30644

 

  1. Xu RH, Zhou L, Lu SY, et al. Psychometric Validation and Cultural Adaptation of the Simplified Chinese eHealth Literacy Scale: Cross-Sectional Study. J Med Internet Res. 2020;22(12):e18613. doi:10.2196/18613

 

  1. Crandall A, Weiss-Laxer NS, Broadbent E, et al. The Family Health Scale: Reliability and Validity of a Short- and Long- Form. Front Public Health. 2020;8. doi:10.3389/fpubh.2020.587125

 

  1. Wang F, Wu Y, Sun X, et al. Reliability and validity of the Chinese version of a short form of the family health scale. BMC Prim Care. 2022;23(1). doi:10.1186/s12875-022-01702-1

 

  1. Duong TV, Aringazina A, Kayupova G, et al. Development and Validation of a New Short-Form Health Literacy Instrument (HLS-SF12) for the General Public in Six Asian Countries. Health Lit Res Pract. 2019;3(2). doi:10.3928/24748307-20190225-01

 

  1. Sun X, Lv K, Wang F, et al. Validity and reliability of the Chinese version of the Health Literacy Scale Short-Form in the Chinese population. BMC Public Health. 2023;23(1). doi:10.1186/s12889-023-15237-2

 

  1. Sun X, Chen K, Wu Y, et al. Jianban Jiankang Suyang Liangbiao de Kaifa: Jiyu Jingdian Celiang Lilun he Xiangmu Fanying Lilun [Development of a Short Version of the Health Literacy Scale Based on Classical Test Theory and Item Response Theory]. Chin Gen Pract. 2024;27(23):2931- 2940. [In Chinese] doi:10.12114/j.issn.1007-9572.2023.0072

 

  1. Jokić-Begić N, Mikac U, Čuržik D, et al. The Development and Validation of the Short Cyberchondria Scale (SCS). J Psychopathol Behav Assess. 2019;41(4):662-676. doi:10.1007/s10862-019-09744-z

 

  1. Zhou J, Tang R, Wang X, et al. Improvement of Social Isolation and Loneliness and Excess Mortality Risk in People With Obesity. JAMA Netw Open. 2024;7(1):e2352824. doi:10.1001/jamanetworkopen.2023.52824

 

  1. Elovainio M, Komulainen K, Sipilä PN, et al. Association of social isolation and loneliness with risk of incident hospital-treated infections: an analysis of data from the UK Biobank and Finnish Health and Social Support studies. Lancet Public Health. 2023;8(2):e109-e118. doi:10.1016/S2468-2667(22)00253-5

 

  1. Lin L, Wang HH, Lu C, et al. Adverse Childhood Experiences and Subsequent Chronic Diseases Among Middle-aged or Older Adults in China and Associations With Demographic and Socioeconomic Characteristics. JAMA Netw Open. 2021;4(10):e2130143. doi:10.1001/jamanetworkopen.2021.30143

 

  1. Hughes ME, Waite LJ, Hawkley LC, et al. A Short Scale for Measuring Loneliness in Large Surveys. Res Aging. 2004;26(6):655-672. doi:10.1177/0164027504268574

 

  1. Foster HME, Gill JMR, Mair FS, et al. Social connection and mortality in UK Biobank: a prospective cohort analysis. BMC Med. 2023;21(1). doi:10.1186/s12916-023-03055-7

 

  1. He X, Li C, Qian J, et al. Guangfanxing Jiaolv Liangbiao zai Zonghexing Yiyuan de Xindu he Xiaodu Yanjiu [Reliability and validity of a generalized anxiety disorder scale in general hospital outpatients]. Shanghai Arch Psychiatry. 2010;22(4):200-203. [In Chinese] doi:10.3969/j.issn.1002-0829.2010.04.002

 

  1. Shah SJ, Oreper S, Jeon SY, et al. Social Frailty Index: Development and validation of an index of social attributes predictive of mortality in older adults. Proc Natl Acad Sci USA. 2023;120(7). doi:10.1073/pnas.2209414120

 

  1. Zhang L, Gao J, Wu C. Shehui Shuairuo Zhishu Liangbiao de Hanhua ji Xinxiaodu Jianyan [Translation and validation of the Social Frailty Index scale]. J Nurs Sci. 2023;38(8):102. [In Chinese] doi:10.3870/j.issn.1001-4152.2023.08.102

 

  1. John OP, Donahue EM, Kentle RL. The Big Five Inventory— Versions 4a and 54. Berkeley, CA: University of California, Berkeley, Institute of Personality and Social Research; 1991.

 

  1. Rammstedt B, John OP. Measuring personality in one minute or less: A 10-item short version of the Big Five Inventory in English and German. J Res Personal. 2007;41(1):203-212. doi:10.1016/j.jrp.2006.02.001

 

  1. Wang Y, Yao L, Liu L, et al. The mediating role of self-efficacy in the relationship between Big five personality and depressive symptoms among Chinese unemployed population: a cross-sectional study. BMC Psychiatry. 2014;14(1). doi:10.1186/1471-244X-14-61

 

  1. Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16(9):606-613. doi:10.1046/j.1525-1497.2001.016009606.x

 

  1. Wang W, Bian Q, Zhao Y, et al. Reliability and validity of the Chinese version of the Patient Health Questionnaire (PHQ-9) in the general population. Gen Hosp Psychiatry. 2014;36(5):539-544. doi:10.1016/j.genhosppsych.2014.05.021

 

  1. Kroenke K, Spitzer RL, Williams JBW. The Patient Health Questionnaire-2: validity of a two-item depression screener. Med Care. 2003;41(11):1284-1292. doi:10.1097/01.MLR.0000093487.78664.3C

 

  1. Spitzer RL, Kroenke K, Williams JBW, et al. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med. 2006;166(10):1092. doi:10.1001/archinte.166.10.1092

 

  1. Wang F, Wu Y, Wang S, et al. Development of an optimal short form of the GAD-7 scale with cross-cultural generalizability based on Riskslim. Gen Hosp Psychiatry. 2024;87:33-40. doi:10.1016/j.genhosppsych.2024.01.010

 

  1. Cohen S, Kamarck T, Mermelstein R. A global measure of perceived stress. J Health Soc Behav. 1983;24(4):385-396. doi:10.2307/2136404

 

  1. Huang F, Wang H, Wang Z, et al. Psychometric properties of the perceived stress scale in a community sample of Chinese. BMC Psychiatry. 2020;20(1). doi:10.1186/s12888-020-02520-4

 

  1. Blumenthal JA, Burg MM, Barefoot J, et al. Social support, type A behavior, and coronary artery disease. Psychosom Med. 1987;49(4):331-340. doi:10.1097/00006842-198707000-00002

 

  1. Jiang Q. Lingwu Shehui Zhichi Liangbiao [Perceived Social Support Scale]. Chin J Behav Med Sci. 2001;10:41-43. [In Chinese]

 

  1. Wu Y, Tang J, Du Z, et al. Development of a short version of the perceived social support scale: based on classical test theory and ant colony optimization. BMC Public Health. 2025;25(1). doi:10.1186/s12889-025-21399-y

 

  1. Schwarzer R, Jerusalem M. Generalized Self-Efficacy Scale. In: Weinman J, Wright S, Johnston M, eds. Measures in Health Psychology: A User’s Portfolio. Causal and Control Beliefs. Windsor, UK: NFER-NELSON; 1995:35-37.

 

  1. Chen G, Gully SM, Eden D. Validation of a new general self-efficacy scale. Organ Res Methods. 2001;4(1):62-83. doi:10.1177/109442810141004

 

  1. Wang F, Chen K, Du Z, et al. Reliability and validity analysis and Mokken model of New General Self-Efficacy Scale- Short Form (NGSES-SF). Preprint posted online 2022. doi:10.31234/osf.io/r7aj3

 

  1. Chiu CY, Hong YY, Dweck CS. Lay dispositionism and implicit theories of personality. J Pers Soc Psychol. 1997;73(1):19-30. doi:10.1037//0022-3514.73.1.19

 

  1. Bunda K, Busseri MA. Lay theories of health, self-rated health, and health behavior intentions. J Health Psychol. 2019;24(7):979-988. doi:10.1177/1359105316689143

 

  1. Leckelt M, Wetzel E, Gerlach TM, et al. Validation of the Narcissistic Admiration and Rivalry Questionnaire Short Scale (NARQ-S) in convenience and representative samples. Psychol Assess. 2018;30(1):86-96. doi:10.1037/pas0000433

 

  1. Back MD, Küfner ACP, Dufner M, et al. Narcissistic admiration and rivalry: disentangling the bright and dark sides of narcissism. J Pers Soc Psychol. 2013;105(6):1013- 1037. doi:10.1037/a0034431

 

  1. Ustun B, Adler LA, Rudin C, et al. The World Health Organization Adult Attention-Deficit/Hyperactivity Disorder Self-Report Screening Scale for DSM-5. JAMA Psychiatry. 2017;74(5):520. doi:10.1001/jamapsychiatry.2017.0298

 

  1. Borritz M, Bültmann U, Rugulies R, et al. Psychosocial work characteristics as predictors for burnout: findings from 3-year follow up of the PUMA Study. J Occup Environ Med. 2005;47(10):1015-1025. doi:10.1097/01.jom.0000175155.50789.98

 

  1. Wang F, Song H, Meng X, et al. Development and validation of the long and short forms of the rest intolerance scale for college students. Personal Individ Differ. 2025;233:112869. doi:10.1016/j.paid.2024.112869

 

  1. Somer E, Lehrfeld J, Bigelsen J, et al. Development and validation of the Maladaptive Daydreaming Scale (MDS). Conscious Cogn. 2016;39:77-91. doi:10.1016/j.concog.2015.12.001

 

  1. Pietkiewicz IJ, Hełka AM, Barłóg M, et al. Validity and reliability of the Polish Maladaptive Daydreaming Scale (PMDS-16) and its short form (PMDS-5). Clin Psychol Psychother. 2023;30(4):882-897. doi:10.1002/cpp.2844

 

  1. Leung H, Pakpour AH, Strong C, et al. Measurement invariance across young adults from Hong Kong and Taiwan among three internet-related addiction scales: Bergen Social Media Addiction Scale (BSMAS), Smartphone Application- Based Addiction Scale (SABAS), and Internet Gaming Disorder Scale-Short Form (IGDS-SF9) (Study Part A). Addict Behav. 2020;101:105969. doi:10.1016/j.addbeh.2019.04.027

 

  1. Crumbauch JC, Maholick LT. Manual of Instructions for the Purpose in Life Test. Huntsville, Alabama, USA: Psychometric Affiliates; 1969.

 

  1. Zhang D, Chan DCC, Niu L, et al. Meaning and its association with happiness, health and healthcare utilization: A cross-sectional study. J Affect Disord. 2018;227:795-802. doi:10.1016/j.jad.2017.11.082

 

  1. Nosikov A, Gudex C, eds. EUROHIS: Developing Common Instruments for Health Surveys. Amsterdam: IOS Press; 2003.

 

  1. Hu B, Lin LF, Zhuang MQ, et al. Reliability and relative validity of three physical activity questionnaires in Taizhou population of China: the Taizhou Longitudinal Study. Public Health. 2015;129(9):1211-1217. doi:10.1016/j.puhe.2015.03.024

 

  1. Yao Y, Jia Y, Wen Y, et al. Genome-Wide Association Study and Genetic Correlation Scan Provide Insights into Its Genetic Architecture of Sleep Health Score in the UK Biobank Cohort. Nat Sci Sleep. 2022;14:1-12. doi:10.2147/NSS.S326818

 

  1. Fan M, Sun D, Zhou T, et al. Sleep patterns, genetic susceptibility, and incident cardiovascular disease: a prospective study of 385 292 UK biobank participants. Eur Heart J. 2019;41(11):1182-1189. doi:10.1093/eurheartj/ehz849

 

  1. RuiZhong, Zhang X, Lin S, et al. Development and Validation of the Intimate Partner Violence Scale-5 (IPVS- 5): Psychometric Properties in a Large-Scale Chinese Study. PsyArXiv. Preprint posted online 2025. doi:10.31234/osf.io/358w9_v1

 

  1. Fan S, Li Y, Hou R, et al. Development and validation of a short form of the Family Communication Scale. OSF Prepr. Preprint posted online 2024. doi:10.31219/osf.io/d2tjb

 

  1. Olson DH, Sprenkle DH, Russell CS. Circumplex model of marital and family system: I. Cohesion and adaptability dimensions, family types, and clinical applications. Fam Process. 1979;18(1):3-28. doi:10.1111/j.1545-5300.1979.00003.x

 

  1. Guo N, Ho HCY, Wang MP, et al. Factor Structure and Psychometric Properties of the Family Communication Scale in the Chinese Population. Front Psychol. 2021;12:736514. doi:10.3389/fpsyg.2021.736514

 

  1. Kliemann N, Beeken RJ, Wardle J, et al. Development and validation of the Self-Regulation of Eating Behaviour Questionnaire for adults. Int J Behav Nutr Phys Act. 2016;13(1). doi:10.1186/s12966-016-0414-6

 

  1. Bover MT, Foulds J, Steinberg MB, et al. Waking at night to smoke as a marker for tobacco dependence: patient characteristics and relationship to treatment outcome. Int J Clin Pract. 2008;62(2):182-190. doi:10.1111/j.1742-1241.2007.01653.x

 

  1. World Health Organization. Adverse Childhood Experiences International Questionnaire (ACE-IQ). World Health Organization; 2018. Accessed December 25, 2025. https://www.who.int/publications/m/item/adverse-childhood-experiences-international-questionnaire-(ace-iq)

 

  1. Fujiwara T. Impact of adverse childhood experience on physical and mental health: A life-course epidemiology perspective. Psychiatry Clin Neurosci. 2022;76(11):544-551. doi:10.1111/pcn.13464

 

  1. Mittal C, Griskevicius V, Simpson JA, et al. Cognitive adaptations to stressful environments: When childhood adversity enhances adult executive function. J Pers Soc Psychol. 2015;109(4):604-621. doi:10.1037/pspi0000028

 

  1. Gur A, Rimmerman A. Social involvement, socio-economic status and subjective well-being of parents of offspring with intellectual and developmental disabilities. J Intellect Disabil Res. 2021;65(9):870-877. doi:10.1111/jir.12841

 

  1. van Minde MRC, de Kroon MLA, Sijpkens MK, et al. Associations between Socio-Economic Status and Unfavorable Social Indicators of Child Wellbeing; a Neighbourhood Level Data Design. Int J Environ Res Public Health. 2021;18(23):12661. doi:10.3390/ijerph182312661

 

  1. Ministry of Education of the People’s Republic of China. Opinions of the Ministry of Education on Strengthening and Improving Art Education Activities in Primary and Secondary Schools. Published May 30, 2007. Accessed December 26, 2025. http://www.moe.gov.cn/srcsite/A17/ moe_794/moe_795/200705/t20070530_80592.html

 

  1. Zhang X, Zhang X, Li Y, et al. Factors affecting acceptance of palliative care in mainland China: a national cross-sectional study. Lancet Oncol. 2022;23:S3. doi:10.1016/S1470-2045(22)00402-8

 

  1. Bao Y, Wang C, Xu H, et al. Effects of an mHealth Intervention for Pulmonary Tuberculosis Self-management Based on the Integrated Theory of Health Behavior Change: Randomized Controlled Trial. JMIR Public Health Surveill. 2022;8(7):e34277. doi:10.2196/34277

 

  1. Horn AL, Bell BM, Bulle Bueno BG, et al. Population mobility data provides meaningful indicators of fast food intake and diet-related diseases in diverse populations. NPJ Digit Med. 2023;6(1). doi:10.1038/s41746-023-00949-x

 

  1. Chen R, Liu YF, Huang GD, et al. The relationship between physical exercise and subjective well-being in Chinese older people: The mediating role of the sense of meaning in life and self-esteem. Front Psychol. 2022;13. doi:10.3389/fpsyg.2022.1029587

 

  1. Pennings G. Elective egg freezing and women’s emancipation. Reprod Biomed Online. 2021;42(6):1053-1055. doi:10.1016/j.rbmo.2021.04.004

 

  1. Rajabalee NBMH, Joseph A, Tapper CX. Global Geriatric Palliative Care. Clin Geriatr Med. 2023;39(3):465-473. doi:10.1016/j.cger.2023.05.002

 

  1. Phan H, Ngu B, Hsu CS, et al. The Life + Death Education Framework: Proposition of a “Universal” Framework for Implementation. Omega. Published online October 26, 2024. doi:10.1177/00302228241295786

 

  1. González-Caballero J. Occupational health nursing: Realities and challenges. Int Nurs Rev. 2024;71(3):513-520.doi:10.1111/inr.12938

 

  1. Friedrich J, Rupp M, Feng YS, et al. Occupational health literacy and work ability: a moderation analysis including interpersonal and organizational factors in healthy organizations. Front Public Health. 2024;12 doi:10.3389/fpubh.2024.1243138

 

  1. Powers JM, LaRowe LR, Garey L, et al. Pain intensity, e-cigarette dependence, and cessation-related outcomes: The moderating role of pain-related anxiety. Addict Behav. 2020;111:106548. doi:10.1016/j.addbeh.2020.106548

 

  1. Atif M, Asghar S, Mushtaq I, et al. What drives inappropriate use of antibiotics? A mixed methods study from Bahawalpur, Pakistan. Infect Drug Resist. 2019;12:687-699. doi:10.2147/IDR.S189114

 

  1. Gan GZH, Hill AM, Yeung P, et al. Pet ownership and its influence on mental health in older adults. Aging Ment Health. 2020;24(10):1605-1612. doi:10.1080/13607863.2019.1633620

 

  1. Gee NR, Rodriguez KE, Fine AH, et al. Dogs Supporting Human Health and Well-Being: A Biopsychosocial Approach. Front Vet Sci. 2021;8. doi:10.3389/fvets.2021.630465

 

  1. Huen JMY, Yip PSF, Osman A, et al. The Suicidal Behaviors Questionnaire-Revised (SBQ-R) and its Chinese version (C-SBQ-R): Further validity testing using the culture, comprehension, and translation bias procedure. Psychol Assess. 2022;34(7):704-710. doi:10.1037/pas0001134

 

  1. Weilnhammer V, Schmid J, Mittermeier I, et al. Extreme weather events in Europe and their health consequences: a systematic review. Int J Hyg Environ Health. 2021;233:113688. doi:10.1016/j.ijheh.2021.113688

 

  1. Rizan C, Steinbach I, Nicholson R, et al. The Carbon Footprint of Surgical Operations: A Systematic Review. Ann Surg. 2020;272(6):986-995. doi:10.1097/SLA.0000000000003951
Share
Back to top
Health Psychology Research, Print ISSN: 2420-8124, Published by AccScience Publishing