Impact of Excessive Online Health Searches on Parental Well-Being
DOI:
https://doi.org/10.64397/nepj.v01i02.2025.a23Keywords:
cyberchondria, health anxiety, parental well-being, parentsAbstract
Introduction: Technology transformed how parents access health information, but excessive online searches, or cyberchondria, can fuel reassurance-seeking and anxiety in managing family health. Demographic factors like age, education, socioeconomic status, and family structure shape vulnerability, yet their interplay with cultural beliefs remains understudied in Filipino contexts. This study examines the impact of excessive online health searches on parental well-being in the Philippines, aiming to address gaps in understanding digital health behaviors.
Aim: This study aimed to determine the impact of cyberchondria on parental well-being, focusing on compulsion, distress, excessiveness, reassurance-seeking, mistrust, and thoughts, feelings, and behaviors. It analyzed how sociodemographic factors affect cyberchondria and well-being. The research also explored the relationship between cyberchondria and parental well-being.
Methods: A quantitative correlational design explored the relationship between cyberchondria and parental well-being. Four hundred parents from 10 barangays in Baguio City were selected through systematic random sampling. Data collection utilized the Cyberchondria Severity Scale-15 and Health Anxiety by Proxy Scale. Descriptive and inferential statistics were applied. Ethics approval was granted by the REC on February 20, 2025 (Protocol No. SLU-REC 2025-047).
Results: Cyberchondria results revealed parents were severely affected in Excessiveness and Reassurance-seeking; thoughts and behaviors showed high anxiety. Significant differences appeared in Age (cyberchondria) and Monthly Income (health anxiety). A moderate positive correlation showed that higher cyberchondria was linked to increased health anxiety by proxy.
Conclusion: Cyberchondria diminishes parental well-being by fueling anxiety, reassurance-seeking, and reduced resilience. Anchored in Media Dependency Theory, findings support interventions and culturally adapted tools for responsible digital health-seeking.
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References
1. Amit, L. M., & Malabarbas, G. T. (2020). Prevalence and Risk-Factors of Musculoskeletal Disorders among Provincial High School Teachers in the Philippines. Journal of UOEH, 42(2), 151–160. https://doi.org/10.7888/juoeh.42.151
2. Arslan, S. A., Hadian, M. R., Olyaei, G., Talebian, S., Yekaninejad, M. S., & Hussain, M. A. (2019). Comparative effect of driving side on low back pain due to Repetitive Ipsilateral Rotation. Pakistan Journal of Medical Sciences, 35(4). https://doi.org/10.12669/pjms.35.4.488
3. Asour, A. A., Mehri, F., Fasih-Ramandi, F., & Karimi, A. (2022). Prevalence of Musculoskeletal Disorders in Iranian Truck Drivers and Its Association with Road Accidents. Journal of Occupational Health and Epidemiology, 11(2), 106–113. https://doi.org/10.52547/johe.11.2.106
4. Atlas, A. (2006). Commentary – Prevalence of Low Back Pain Among Jeepney Drivers in Metro Manila: A Descriptive Study. https://doi.org/10.36413/PJAHS.0101.009
5. Coz, M. C., Flores, P. J., Hernandez, K. L., & Portus, A. J. (2015). An ergonomic study on the UP-Diliman Jeepney driver’s workspace and driving conditions. Procedia Manufacturing, 3, 2597–2604. https://doi.org/10.1016/j.promfg.2015.07.584
6. Hannoodee, S., & Dhamoon, A. S. (2023, July 17). Nursing Neuman Systems Model. StatPearls - NCBI Bookshelf. https://www.ncbi.nlm.nih.gov/books/NBK560658/
7. IEOM Society. (2023). Musculoskeletal discomforts and ergonomic risks among modern jeepney drivers in the Philippines. Proceedings of the International Conference on Industrial Engineering and Operations Management. Retrieved from https://ieomsociety.org/
8. Joseph, L., Standen, M., Paungmali, A., Kuisma, R., Sitilertpisan, P., & Pirunsan, U. (2020). Prevalence of musculoskeletal pain among professional drivers: A systematic review. Journal of Occupational Health, 62(1). https://doi.org/10.1002/1348-9585.12150
9. Libre, J. J. P., Modomo, J. R., Bariga, K. J. N., Meneses, J. L. R., & Amago, J. R. (2023). Ergonomic design of driver’s workstation for modern jeepney of ABC Transport Service and Multi-Purpose Cooperative [Conference Proceeding]. In IEOM Society International & College of Engineering, Manuel S. Enverga University Foundation, Proceedings of the 8th North American International Conference on Industrial Engineering and Operations Management. IEOM Society International. https://ieomsociety.org/proceedings/2023houston/194.pdf
10. Magramo, K. (2024, January 16). Philippines jeepney drivers stage strikes to protest phase-out. CNN. https://edition.cnn.com/2024/01/16/asia/philippines-jeepney-phase-out-strikes-intl-hnk
11. Philippine Daily Inquirer. (2025, June 3). President Marcos wants further study on Public Transport Modernization Program to ease burden on jeepney drivers. https://newsinfo.inquirer.net/2066678/puv-modernization-not-viable-but-to-continue
12. Pickard, O., Burton, P., Yamaha, H., Schram, B., Canetti, E. F. D., & Orr, R. (2022). Musculoskeletal disorders associated with occupational driving: A systematic review spanning 2006-2001. International Journal of Environmental Research and Public Health. https://doi.org/10.3390/ijerph19116837
13. Punnett, L., & Wegman, D. H. (2004). Work-related musculoskeletal disorders: The epidemiologic evidence and the debate. Journal of Electromyography and Kinesiology, 14(1), 13–23. https://doi.org/10.1016/j.jelekin.2003.09.015
14. Raza, M., Bhushan, R. K., Khan, A. A., Ali, A. M., Khamaj, A., & Alam, M. M. (2024b). Prevalence of musculoskeletal disorders in heavy vehicle drivers and office workers: A comparative analysis using a machine learning approach. Healthcare, 12(24), 2560. https://doi.org/10.3390/healthcare12242560
15. Rasheed, M., Riaz, H. M., Arshad, H., & Fatima, K. (2023). Assessment of musculoskeletal disorders and contributing factors in professional drivers. Journal of Basic & Clinical Medical Sciences, 2, 36–43. https://doi.org/10.58398/0002.000012
16. Raza, M., Bhushan, R. K., Khan, A. A., Ali, A. M., Khamaj, A., & Alam, M. M. (2024). Prevalence of musculoskeletal disorders in heavy vehicle drivers and office workers: A comparative analysis using a machine learning approach. Healthcare, 12(24), 2560. https://doi.org/10.3390/healthcare12242560
17. Rezaei, E., Shahmahmoudi, F., Makki, F., Salehinejad, F., Marzban, H., & Zangiabadi, Z. (2024). Musculoskeletal disorders among taxi drivers: a systematic review and meta-analysis. BMC Musculoskeletal Disorders, 25(1). https://doi.org/10.1186/s12891-024-07771-w
18. Tahernejad, S., Makki, F., Bameri, A., Zangiabadi, Z., Rezaei, E., & Marzban, H. (2024). Musculoskeletal disorders among truck drivers: a systematic review and meta-analysis. BMC Public Health, 24(1). https://doi.org/10.1186/s12889-024-20611-9
19. Tchounga, C. C. N., Kenfack, M. A., Guessogo, W. R., Ndongo, J. M., Léle, E. C. B., Ayina, C. N. A., Temfemo, A., Bongue, B., Mandengue, S. H., Ngoa, L. S. E., & Ndemba, P. B. A. (2022). Prevalence of musculoskeletal disorders among taxi drivers in Yaoundé, Cameroon: preventive effect of physical activity. BMC Musculoskeletal Disorders, 23(1). https://doi.org/10.1186/s12891-022-05971-w
20. Tigari, H., & Santhosh, H. B. (2020). Socio-Economic background of Auto-Rickshaw drivers. Shanlax International Journal of Management, 8(1), 48–53. https://doi.org/10.34293/management.v8i1.3245
21. Yirdaw, G., & Adane, B. (2024). Self-Reported Work-Related musculoskeletal Problems and associated risk factors among Three-Wheel car drivers in Ethiopia: a Cross-Sectional Community-Based study. Journal of Pain Research, Volume 17, 61–71. https://doi.org/10.2147/jpr.s4291 Anderson, M., & Perrin, A. (2021). Health and technology use among parents. Pew Research Center.
22. Avcin, E., & Can, S. (2021). The relationship between the stress experienced by parents and cyberchondria during the pandemic process. Library Hi Tech, 40(2), 548–568. https://doi.org/10.1108/LHT-03-2021-0110
23. Babrow, A. S., & Kline, K. N. (2020). Uncertainty management and information seeking in health contexts. Health Communication, 35(12), 1513–1524. https://doi.org/10.1080/10410236.2019.1654172
24. Ball-Rokeach, S. J., & DeFleur, M. L. (1976). A dependency model of mass-media effects. Communication Research, 3(1), 3–21. https://doi.org/10.1177/009365027600300101
25. Bandura, A. (1997). Self-efficacy: The exercise of control. W. H. Freeman.
26. Baumann, C., Vincent, E., & Wall, J. (2020). Maternal caregiving burdens and digital health dependency. Journal of Family Nursing, 26(3), 210–225. https://doi.org/10.1177/1074840720942186
27. Beck, A. T. (1976). Cognitive therapy and the emotional disorders. International Universities Press.
28. Brashers, D. E. (2001). Communication and uncertainty management. Journal of Communication, 51(3), 477–492. https://doi.org/10.1111/j.1460-2466.2001.tb02992.x
29. César-Santos, B., Bastos, F., Dias, A., & Campos, M. J. (2024). Family nursing care during the transition to parenthood: A scoping review. Healthcare, 12(5), 515. https://doi.org/10.3390/healthcare12050515
30. Chen, Y.-Y., Li, C.-M., Liang, J.-C., & Tsai, C.-C. (2022). Health information technology acceptance in healthcare: A systematic review and meta-analysis of longitudinal studies. Health Information Management Journal, 50(2), 127–137.
31. Cheng, K., & Silver, M. P. (2021). Compulsive health information seeking and doctor-patient communication in the digital age. Health Communication, 36(10), 1230–1238. https://doi.org/10.1080/10410236.2020.1751383
32. Chin, B., Lee, H., & Kim, J. (2021). Income gap stress and its effects on mental health among middle-income families. Social Science & Medicine, 275, 113794. https://doi.org/10.1016/j.socscimed.2021.113794
33. Cohen, S., & Wills, T. A. (1985). Stress, social support, and the buffering hypothesis. Psychological Bulletin, 98(2), 310–357. https://doi.org/10.1037/0033-2909.98.2.310
34. Del Rosario, C., & Dizon, M. (2021). Patterns of online health information seeking in the Philippines. Philippine Journal of Communication Research, 9(1), 58–74.
35. Farooq, A., Laato, S., & Islam, A. K. M. N. (2022). Trust and mistrust in the sharing of COVID-19 misinformation on social media: A cognitive-behavioral perspective. Technological Forecasting and Social Change, 183, 121964. https://doi.org/10.1016/j.techfore.2022.121964
36. Ganson, K. T., Testa, A., & Weiser, S. D. (2022). Financial stress and health anxiety in low- to middle-income families. Journal of Health Economics, 81, 102574. https://doi.org/10.1016/j.jhealeco.2021.102574
37. Hasyim, N., Muluk, H., & Hidayat, S. (2021). Media dependency, information seeking, and anxiety during the COVID-19 pandemic: A media system dependency theory perspective. Jurnal Komunikasi: Malaysian Journal of Communication, 37(4), 91–106. https://doi.org/10.17576/JKMJC-2021-3704-06
38. Hebda, T., & Czar, P. (2019). Handbook of informatics for nurses and healthcare professionals (6th ed.). Pearson.
39. Ivanova, T., & Andreeva, T. (2022). The compulsive side of cyberchondria: Exploring the habitual patterns of online health information search. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 16(1), Article 3. https://doi.org/10.5817/CP2022-1-3
40. Jang, S. M., Geng, T., Li, J. Y. Q., Xia, R., Huang, C. T., Kim, H., & Tang, J. (2020). The disaster of misinformation: A review of research in social media. International Journal of Data Science and Analytics, 9(2), 83–94. https://doi.org/10.1007/s41060-020-00218-7
41. Javed, S., Parveen, H., & Rafiq, A. (2023). Trust versus mistrust: Understanding parental psychological conflict in the digital age. Journal of Child and Family Studies, 32(5), 1245–1257. https://doi.org/10.1007/s10826-023-02527-0
42. Kadoglou, N. (2024). Health anxiety by proxy: Educational attainment and parental health worries. Journal of Health Psychology, 29(1), 12–25. https://doi.org/10.1177/13591053211012345
43. Kämpfen, F., et al. (2020). Financial security and health anxiety: A cross-national analysis. Social Science & Medicine, 245, 112702. https://doi.org/10.1016/j.socscimed.2019.112702
44. Khazaal, Y., Chatton, A., Rochat, L., Hede, V., Viswasam, K., Penzenstadler, L., Berle, D., & Starcevic, V. (2020). Compulsive Health-Related Internet Use and Cyberchondria. European Addiction Research, 27(1), 1–9. https://doi.org/10.1159/000510922
45. Lazarus, R. S., & Folkman, S. (1984). Stress, appraisal, and coping. Springer.
46. Lee, J., & Cho, M. (2023). The protective role of social support in mitigating cyberchondria. Journal of Behavioral Medicine, 46(3), 456–469. https://doi.org/10.1007/s10865-023-00412-4
47. Lim, S., Park, H., & Kim, J. (2024). Health literacy and online information evaluation among parents. Patient Education and Counseling, 107, 107944. https://doi.org/10.1016/j.pec.2023.107944
48. Lorenzo, A., & Javier, D. (2024). Cyberchondria and caregiver anxiety: A Philippine-based cross-sectional study. Journal of Mental Health and Society, 8(1), 33–48.
49. Manalo, P., & Soriano, E. (2022). Digital reliance and parental health anxiety in urban Filipino households. Philippine Journal of Health Behavior, 5(2), 91–104.
50. McGonigle, D., & Mastrian, K. (2021). Nursing informatics and the foundation of knowledge (5th ed.). Jones & Bartlett Learning.
51. McMullan, R. D., Berle, D., Arnáez, S., & Starcevic, V. (2019). The relationships between health anxiety, online health information seeking, and cyberchondria: Systematic review and meta-analysis. Journal of Affective Disorders, 245, 270–278. https://doi.org/10.1016/j.jad.2018.11.037
52. Nomaguchi, K., & Milkie, M. A. (2020). Parenthood and well-being: A decade in review. Journal of Marriage and Family, 82(1), 198–223. https://doi.org/10.1111/jomf.12646
53. Peplau, H. E. (1952). Interpersonal relations in nursing: A conceptual frame of reference for psychodynamic nursing. G. P. Putnam’s Sons.
54. Pineda, A. (2024, September 7). Hiya: The Filipino Sense of Shame and Dignity - Pinas Culture. Pinas Culture. https://pinasculture.com/hiya-the-filipino-sense-of-shame-and-dignity/
55. Rains, S. A., & Turner, M. M. (2021). Psychological effects of cyberchondria and the impact of excessive online health information searching. Journal of Health Communication, 26(1), 48–57. https://doi.org/10.1080/10810730.2021.1894995
56. Rask, C. U., et al. (2023). Parental health anxiety and child well-being: A longitudinal study. Journal of Pediatric Psychology, 48(2), 145–157. https://doi.org/10.1093/jpepsy/jsac045
57. Richter, R., Hoffmann, M., & Schmid, M. (2023). Communication of benefits and harms in shared decision making with patients with limited health literacy: A systematic review of risk communication strategies. Patient Education and Counseling, 116, 107944. https://doi.org/10.1016/j.pec.2023.107944
58. Rivera, J. L., & Santos, K. M. (2024). Digital health literacy and parental communication with healthcare providers in the Philippines. Nursing and Health Sciences Journal, 18(1), 56–67.
59. Serrano, E. M., & Alampay, L. P. (2020). Parenting in the Philippines: A research literature review from 2004 to 2019. In Parenting Across Cultures: Child Rearing, Motherhood and Fatherhood in Non-Western Cultures. Springer.
60. Smith, D. T., & Johnson, L. A. (2022). Navigating health information overload: Anxiety and decision-making among parents. Health Communication Research, 31(4), 263–278. https://doi.org/10.1080/10410236.2022.1838742
61. Starcevic, V., & Berle, D. (2021). Cyberchondria: An old phenomenon in a new guise? Current Psychiatry Reports, 23(7), Article 38. https://doi.org/10.1007/s11920-021-01242-4
62. Starcevic, V., et al. (2021). The reassurance paradox in cyberchondria: A systematic review. Behaviour Change, 38(1), 1–12. https://doi.org/10.1017/bec.2021.3
63. Tan, S. S., & Goonawardene, N. (2022). Internet health information seeking and the patient-physician relationship: A systematic review. Journal of Medical Internet Research, 24(2), e23354. https://doi.org/10.2196/23354
64. Te Poel, F., Baumgartner, S. E., Hartmann, T., & Tanis, M. (2021). The curious case of cyberchondria: A longitudinal study on the reciprocal relationship between health anxiety and online health information seeking. Journal of Anxiety Disorders, 77, 102341. https://doi.org/10.1016/j.janxdis.2021.102341
65. Vismara, M., Caricasole, V., Starcevic, V., Cinosi, E., Dell’Osso, B., Martinotti, G., & Fineberg, N. A. (2020). Is cyberchondria a new transdiagnostic digital compulsive syndrome? A systematic review of the evidence. Comprehensive Psychiatry, 99, 152167. https://doi.org/10.1016/j.comppsych.2020.152167
66. Witteveen, D., & Velthorst, E. (2020). Economic hardship and mental health complaints during COVID-19. Proceedings of the National Academy of Sciences, 117(44), 27277–27284. https://doi.org/10.1073/pnas.2009609117
67. Yang, H., & Lee, Y. (2019). Understanding the effects of online health information and service use on patients' trust in physicians: The role of health literacy and perceived information quality. Health Informatics Journal, 25(3), 1096–1111. https://doi.org/10.1177/1460458218773200
68. Zheng, D., Lin, M. P., & Liu, H. (2023). Education and online health behavior: When health literacy and trust collide. Journal of Health Communication, 28(1), 12–20. https://doi.org/10.1080/10810730.2023.2175651
69. Zoellner, T., & Maercker, A. (2021). Emotion-focused coping in digital health contexts. Journal of Anxiety Disorders, 78, 102363. https://doi.org/10.1016/j.janxdis.2021.102363
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