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Abstract

Background: Cyberchondria refers to excessive or repeated searching for health-related information on the internet that may be associated with increased health anxiety or distress. Excessive online health-information seeking has been described in relation to health anxiety and cyberchondria in previous literature.[1–3] College students frequently use digital devices and online sources for health information, making this an important area for nursing and health education research. Objectives: To assess the level of cyberchondria among college students.To assess the level of health anxiety.To determine the correlation between cyberchondria and health anxiety. To determine the association of cyberchondria and health anxiety with selected socio-demographic variables. Materials and Methods: : A quantitative approach with a descriptive correlational research design was used. The study was conducted at Mascot College of Education, Rithora, Bareilly. A total of 100 undergraduate college students were selected using non-probability convenience sampling. Data were collected using socio-demographic variables, a 33-item Cyberchondria Severity Scale and an 18-item Short Health Anxiety Inventory. Descriptive statistics, Karl Pearson’s correlation coefficient and chi-square test were used for analysis. A p-value <0.05 was considered statistically significant. Results: : Among 100 students, 34% had low, 27% had moderate and 39% had high cyberchondria. For health anxiety, 29% had low, 31% had moderate and 40% had high levels. The mean cyberchondria score was 102.50 ± 37.66 and the mean health anxiety score was 29.67 ± 16.60. A positive correlation was reported between cyberchondria and health anxiety (r=0.70, p=0.01). Cyberchondria was significantly associated with gender (?²=10.205), course (?²=18.344) and marital status (?²=6.389), while no significant association was reported with age, residence or type of family. Health anxiety was significantly associated with gender (?²=8.049) and course (?²=11.876), while the remaining reported variables were not significant. Conclusion: : The study identified low, moderate and high levels of both cyberchondria and health anxiety among college students, with the largest proportion classified in the high category. A statistically significant positive correlation was reported between cyberchondria and health anxiety. College-based health education regarding reliable online health information and appropriate help-seeking may be useful.

Keywords

Cyberchondria, Health anxiety, College students, Online health information, Nursing research

Introduction

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The internet has become an important source of health-related information. People can rapidly search for symptoms, diseases, treatment options and preventive information. Although online health information can support health awareness, repeated or excessive searching may be associated with worry, distress and health anxiety. Cyberchondria has been described as excessive or repeated online searching for health information that is associated with increased distress or anxiety.[1]

Research has demonstrated an association between health anxiety, online health-information seeking and cyberchondria. A systematic review and meta-analysis found a positive relationship between health anxiety and cyberchondria.[2] A systematic review of cyberchondria research also highlighted the developing nature of the construct and the need for further research using validated measures.[3] Indian research has also begun to examine cyberchondria and its severity in adults, indicating the relevance of the topic in the Indian context.[4]

The Cyberchondria Severity Scale (CSS) was developed to assess several dimensions of cyberchondria, including compulsion, distress, excessiveness, reassurance seeking and mistrust of medical professionals.[5] The Health Anxiety Inventory was developed as a measure of health anxiety and hypochondriasis and includes short forms suitable for brief assessment.[6]

College students are an important population because of their frequent use of smartphones, search engines and social media. The present study was therefore undertaken to assess cyberchondria and health anxiety among college students of a selected college in Bareilly, Uttar Pradesh, and to examine the relationship between these two variables.

OBJECTIVES

1. To assess the level of cyberchondria among college students.

2. To assess the level of health anxiety among college students.

3. To find the correlation between cyberchondria and health anxiety among college students.

4. To determine the association between cyberchondria, health anxiety and selected socio-demographic variables.

HYPOTHESES

H1: There is a significant relationship between cyberchondria and health anxiety among college students.

H2: There is a significant association between the level of cyberchondria and selected socio-demographic variables.

H3: There is a significant association between the level of health anxiety and selected socio-demographic variables.

MATERIALS AND METHODS

Research approach and design: A quantitative research approach and descriptive correlational research design were used.

Setting: The study was conducted at Mascot College of Education, Rithora, Bareilly, Uttar Pradesh, India.

Participants and sampling: The study included 100 undergraduate college students aged 17–25 years. Participants were selected by non-probability convenience sampling.

Inclusion and exclusion criteria: Students aged 17–25 years who had access to the internet/social media and were willing to participate were included. Students reported in the dissertation as having a history of psychiatric illness or chronic illness were excluded.

Data collection tools: Section A collected socio-demographic information including age, gender, course, residence, type of family and marital status. Section B consisted of a 33-item Cyberchondria Severity Scale, scored from 1 to 5, with a total possible score of 33–165. Section C consisted of an 18-item Short Health Anxiety Inventory, with each item scored from 0 to 3 and a total possible score of 0–54. The instruments are grounded in published work on cyberchondria and health anxiety.[5,6]

Validity and reliability: Content validity was established through expert review. The dissertation reports Spearman–Brown split-half reliability of r=0.86 after pilot testing.

Data collection and analysis: Permission and informed written consent were obtained. Data were organized in a master sheet and analysed using frequency, percentage, mean, standard deviation, Karl Pearson’s correlation coefficient and chi-square test. A p-value <0.05 was considered statistically significant.

RESULTS

Table 1: Socio-demographic Characteristics of Participants (N=100)

Variable Category n %
Age 17–18 years 24 24
  19–20 years 37 37
  21–22 years 19 19
  23–25 years 20 20
Gender Male 47 47
  Female 53 53
Course 1st year 36 36
  2nd year 41 41
  3rd year 23 23
Residence Rural 60 60
  Urban 40 40
Type of family Nuclear 61 61
  Joint 39 39
Marital status Unmarried 82 82
  Married 18 18

Table 2: Level of Cyberchondria and Health Anxiety Among Participants (N=100)

Level Cyberchondria n (%) Health anxiety n (%)
Low 34 (34%) 29 (29%)
Moderate 27 (27%) 31 (31%)
High 39 (39%) 40 (40%)

Table 3: Mean, Standard Deviation and Correlation Between Cyberchondria and Health Anxiety

Variable Mean SD Correlation / p-value
Cyberchondria 102.50 37.66 r=0.70; p=0.01
Health anxiety 29.67 16.60 —

The findings showed a positive correlation between cyberchondria and health anxiety (r=0.70, p=0.01). Based on the reported p-value, the relationship was statistically significant at the 0.05 level.

Table 4: Association of Cyberchondria with Selected Socio-Demographic Variables

Variable χ² Interpretation
Age 8.982 Not significant
Gender 10.205 Significant
Course 18.344 Significant
Residence 0.377 Not significant
Type of family 1.410 Not significant
Marital status 6.389 Significant

Table 5: Association of Health Anxiety with Selected Socio-Demographic Variables

Variable χ² Interpretation
Age 11.268 Not significant
Gender 8.049 Significant
Course 11.876 Significant
Residence 0.177 Not significant
Type of family 1.015 Not significant
Marital status 4.454 Not significant

DISCUSSION

The present study assessed cyberchondria and health anxiety among 100 college students. High cyberchondria was reported in 39% of participants, while 40% had high health anxiety. The findings indicate that all three reported levels—low, moderate and high—were represented in the study population.

A positive correlation was reported between cyberchondria and health anxiety (r=0.70, p=0.01). This direction is consistent with previous literature describing a positive relationship between health anxiety and cyberchondria.[2,3] The present result should, however, be interpreted within the selected college, sample size and convenience-sampling context.

Cyberchondria showed statistically significant associations with gender, course and marital status, whereas age, residence and type of family were not statistically significant according to the reported analysis. Health anxiety showed statistically significant associations with gender and course, while age, residence, type of family and marital status were reported as not significant.

The findings support the importance of responsible online health-information use and health education among college students. However, the cross-sectional and single-setting design does not establish a causal relationship between cyberchondria and health anxiety.

CONCLUSION

The study found that cyberchondria and health anxiety were present at low, moderate and high levels among the 100 participating college students. The largest proportion of participants had high cyberchondria (39%) and high health anxiety (40%). A statistically significant positive correlation was reported between cyberchondria and health anxiety (r=0.70, p=0.01). Significant associations were reported for selected socio-demographic variables. These findings highlight the relevance of health education concerning reliable online health information and appropriate health-care consultation among college students.

IMPLICATIONS

Nursing education and college health programmes may include guidance on evaluating online health information, avoiding repeated symptom searching, recognising health-related worry and seeking appropriate professional advice when required. Further studies with larger samples and multiple college settings may provide broader evidence.

LIMITATIONS

The study was conducted in one selected college in Bareilly with 100 participants and used convenience sampling. Therefore, the findings should not be generalized beyond similar populations without further research. The descriptive correlational design identifies association but does not establish causation.

REFERENCES

  1. Starcevic V, Berle D. Cyberchondria: towards a better understanding of excessive health-related Internet use. Expert Rev Neurother. 2013;13 (2):205-213. doi:10.1586/ern.12.162.
  2. McMullan RD, Berle D, Arnáez S, Starcevic V. The relationships between health anxiety, online health information seeking, and cyberchondria: systematic review and meta-analysis. J Affect Disord. 2019;245:270-278. doi:10.1016/j.jad.2018.11.037.
  3. Vismara M, Caricasole V, Starcevic V, Cinosi E, Dell'Osso B, Martinotti G, et al. Is cyberchondria a new transdiagnostic digital compulsive syndrome? A systematic review of the evidence. Compr Psychiatry. 2020;99:152167. doi:10.1016/j.comppsych.2020.152167.
  4. Vemuri TI, Prusty B. Prevalence and manifestation of cyberchondria in Indian adults. Int J Indian Psychol. 2025;13 (2):1078-1093. doi:10.25215/1302.096.
  5. McElroy E, Shevlin M. The development and initial validation of the Cyberchondria Severity Scale (CSS). J Anxiety Disord. 2014;28 (2):259-265. doi:10.1016/j.janxdis.2013.12.007.
  6. Salkovskis PM, Rimes KA, Warwick HMC, Clark DM. The Health Anxiety Inventory: development and validation of scales for the measurement of health anxiety and hypochondriasis. Psychol Med. 2002;32 (5):843-853. doi:10.1017/S0033291702005822.

Reference

  1. Starcevic V, Berle D. Cyberchondria: towards a better understanding of excessive health-related Internet use. Expert Rev Neurother. 2013;13 (2):205-213. doi:10.1586/ern.12.162.
  2. McMullan RD, Berle D, Arnáez S, Starcevic V. The relationships between health anxiety, online health information seeking, and cyberchondria: systematic review and meta-analysis. J Affect Disord. 2019;245:270-278. doi:10.1016/j.jad.2018.11.037.
  3. Vismara M, Caricasole V, Starcevic V, Cinosi E, Dell'Osso B, Martinotti G, et al. Is cyberchondria a new transdiagnostic digital compulsive syndrome? A systematic review of the evidence. Compr Psychiatry. 2020;99:152167. doi:10.1016/j.comppsych.2020.152167.
  4. Vemuri TI, Prusty B. Prevalence and manifestation of cyberchondria in Indian adults. Int J Indian Psychol. 2025;13 (2):1078-1093. doi:10.25215/1302.096.
  5. McElroy E, Shevlin M. The development and initial validation of the Cyberchondria Severity Scale (CSS). J Anxiety Disord. 2014;28 (2):259-265. doi:10.1016/j.janxdis.2013.12.007.
  6. Salkovskis PM, Rimes KA, Warwick HMC, Clark DM. The Health Anxiety Inventory: development and validation of scales for the measurement of health anxiety and hypochondriasis. Psychol Med. 2002;32 (5):843-853. doi:10.1017/S0033291702005822.

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Tanisha
Corresponding author

B.Sc. Nursing Students, Rohilkhand College of Nursing, Bareilly, Uttar Pradesh, India

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Vishnu
Co-author

B.Sc. Nursing Students, Rohilkhand College of Nursing, Bareilly, Uttar Pradesh, India

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Zishan Akhlaque
Co-author

B.Sc. Nursing Students, Rohilkhand College of Nursing, Bareilly, Uttar Pradesh, India

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Anjali Bhan
Co-author

Assistant Professor, Rohilkhand College of Nursing, Bareilly, (U.P.)

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Anvita Stanley
Co-author

PG Nursing Tutor, Rohilkhand College of Nursing, Bareilly, (U.P.)

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Bhawana
Co-author

PG Nursing Tutor, Rohilkhand College of Nursing, Bareilly, (U.P.)

Tanisha, Vishnu, Zishan Akhlaque, Anjali Bhan, Anvita Stanley, Bhawana, Cyberchondria and Health Anxiety Among College Students of Selected College in Bareilly, U.P., Int. J. Sci. R. Tech., 2026, 3 (10), 535-538. https://doi.org/10.5281/zenodo.23237599

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