2022: Two-year Impact Factor: 4.4
Scopus Journal Metrics
CiteScore (2022): 5.3
SJR(2022): 0.78
Open Access

Health Promotion Perspectives. 12(3):295-300. doi: 10.34172/hpp.2022.38

Original Article

Immigration status as a determinant of health information-seeking behavior among undergraduates of color at an urban commuter college

Vincent Jones II 1, *ORCID logo, Sungwoo Kim 2ORCID logo, Apeksha H. Mewani 3, Erin T. Jacques 3ORCID logo, Mary-Andrée Ardouin-Guerrier 1ORCID logo, Shyanne Huggins 4, Corey H. Basch 5ORCID logo
1Department of Health and Human Performance, York College, The City University of New York, Jamaica, NY 11451, USA
2Department of Human Development, Teachers College, Columbia University, New York, NY 10027, USA
3Department of Health and Behavior Studies, Teachers College, Columbia University, New York, NY 10027, USA
4Health Promotion Center, York College, The City University of New York, Jamaica, NY 11451, USA
5Department of Public Health, William Paterson University, Wayne, NJ 07470, USA
*Corresponding Author: Vincent Jones II, Email: vjones1@york.cuny.edu


Background: Health information-seeking behavior (HISB) of college students is of importance due to health information inconsistencies at a time when personal independence and concurrent personal health decision making may be increased. Currently, there is a dearth of research about the HISB of college students, especially from diverse backgrounds. Therefore, the purpose of this study was to identify and describe the sources college students use when engaging in HISB; and to explore associations between HISB and demographic factors.

Methods: This cross-sectional study was conducted with undergraduate students at a diverse, public institution in New York City. The sample was drawn from an institutional social science research pool and asked to complete a survey on HISB. A total of 226 respondents completed the survey.

Results: The believed accuracy of the information found online was positively correlated with related behaviors and beliefs. The number of followers on Instagram proved to be an important mediator of HISB of college students. The number of followers a health information provider has was fittingly positively correlated with the belief that social media is a helpful resource for health information r(233)=0.18, P=0.01. Students from families with two or more generations living in the United States accessed health professionals more frequently than students from one or less generation (χ2=8.107(2), P=0.017).

Conclusion: Targeted educational programs designed to increase health information seeking skills, including discernment of information quality should be a priority for college students.

Keywords: Health disparity, Minority and vulnerable populations, Information seeking behavior, Immigration, Social media, Health promotion, Universities, Students, Social determinants of health , Urban health


© 2022 The Author(s).
This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Studies have indicated that the college years are a vulnerable health period that presents both an opportunity to deliver critical health information to college students,1-6 and to better understand their process of gathering information. Health information-seeking behavior (HISB) is the process by which people collect information about health.7 HISB is distinguished from health information scanning by being an active, rather than passive process, whereby individuals search for specific information beyond what they are normally exposed.8 During HISB, people may not only look for information about their general health, but also health promotion activities, health risks, and illness.9

The literature suggests that college students have an interest in health information, and health information seeking behavior (HISB).10,11 Frequently searched health topics among college students included minor health concerns, nutrition and diet, body fitness, and risky health practices.6 Statistics from the Pew Research Center show that 89% of college graduates and 70% of high school graduates with access to the internet go online to gather health information.12 Social media is an extension of the internet, a channel for seeking health information, and has enabled more possibilities such as connecting people with similar health concerns.13 In fact, peer-to-peer interactions and social and emotional support leads consumers to consult social media. In one study, 23% of users on a social media platform reported subscribing to their contact’s personal health narratives.14 In another study, college students resorted to social media for health information 87% of the time.15 While the Internet is a source of free information, it can also be a major source of misinformationthat has potential to compromise health outcomes.16 The ‘information economy’ can contribute to confusion due to “instances of unreliable news reports, glitches in filtering and flagging of information that is valid”.17According to the health belief model, adults’ belief in their vulnerability and susceptibility to risks could moderate their intentions to share health information on social media.18This could lead to the sharing of poor-quality information about all information, but particularly in relation to pressing issues (e.g. emerging infectious diseases such as COVID-19).

College students seek health information from multiple sources that may be determined by contextual and situational factors.5,6,19 Despite the ubiquity of the Internet and social media, there remains a dearth of research about the HISB of college students, especially from diverse backgrounds. This is an important population to focus on due to the inconsistencies in health education in the US combined with their newfound period of independence, where they are called to discern and apply health information on their own.


There are two aims of this research: (1) to identify and describe the sources college students use when engaging in HISB; and (2) to explore associations between HISB and demographic factors.

Materials and Methods

Study design

An unvalidated questionnaire developed by Basch et al7 was adapted to assess HISB in a sample of college students. The first section collected demographic information, inclusive of race/ethnicity, gender, age, college major, and income. Categories not represented in the original survey include immigration status, measured by asking the number of generations their families had been in the US, and campus affiliations (i.e. ROTC), commuter status, and number of visits to campus per week. The second section assessed the frequency of seeking information from particular sources. The third section focused on the Internet and social media, in which respondents were asked to recall if they used said resources as sources of health information, and how much time they spent browsing. Then, in another question, they were presented with a menu of popular health sites and asked where they would go first for health information. Next, students were asked if they had self-diagnosed a medical condition and then if they sought confirmation from a medical professional. Finally, the fourth section assessed the extent to which college students assessed the accuracy of information from online sources and shared information.


The sample was drawn from the institutional social science research pool between fall 2019 and spring 2020 at a public university in New York City. The research pool provides students in certain courses in psychology, social work, sociology and anthropology to participate in research studies on campus. Students in specified courses had the option of receiving course credit for completing a certain number of points if surveys in the pool or could complete an alternative assignment. To take the survey, the participants had to be a student at the College, not have graduated before fall 2019, and able to respond to a survey in English. A priori sample size estimation with maximum degrees of freedom used in the study (df = 4), 95% power, and medium (w = 0.03) effect size indicated that the study would require 207 participants in the sample to reach the target power and effect size. Accordingly, the study’s sample size (n = 226) meets the criteria to generate results with sufficient power. G*Power software was used to calculate this estimate. In total, 253 students attempted the survey, 226 of whom met the inclusion criteria and completed the questionnaire. The questionnaire consisted of four prescreening questions, 18 demographic questions, four binary questions, two fill-ins, and 16 Likert questions that used five- and seven-point scales.

Statistical methods

IBM SPSS Statistics for Windows (Version 27, Armonk, NY) was used to calculate descriptive statistics and perform analyses. A series of correlation analyses were performed among variables to assess the relationship between HISBs and social media usage (refer to Supplementary File 1). Then, chi-square tests of association were performed on HISBs among different demographic traits. An alpha level of α = 0.05 was used to determine significance.


The sample represented the broad diversity of the greater Queens, NY area. These demographics are included in Table 1. A total of 3% identified as American Indian or Alaska Native, 25% as Asian, 36% as Black or African American, 1% as Native Hawaiian or Other Pacific Islander, 3% White, 30% Hispanic or Latino, and 9% as multiracial/other. Half (50%) of the participants were freshmen, 18% were sophomores, 18% were juniors, and 14% were seniors. While all academic departments were represented, the plurality of respondents came from the nursing and social work programs, 26% and 24% respectively. Given the availability of online learning modalities, 53% of respondents never commuted to campus. 40% of respondents were the first in their families to attend college in the United States. Further, 48% of participants had been in the United States for one generation or less.

Table 1. Demographics
Demographics N %
Number of family generations in the United States
 > 27329.8
Income below / at / higher than median
 < 49 99917470.73
50 000~74 9993012.19
 > 75 0002610.56
Income at low 30%, mid 30%, high 30%
 < 34 99912149.2
35 000~99 9999739.4
 > 100 000124.9
Race (multiple selection possible)
Native American83.3


Hours of day spent browsing the Internet was positively correlated with hours per day on social media (r = 0.662, P = 0.01). Time spent on the Internet was also weakly correlated with sharing information with family or friends without checking the accuracy (r = -0.14, P < 0.05), where those who spent longer time browsing were more likely to share the information.


The believed accuracy of the information found online was positively correlated with related behaviors and beliefs, including gathering online information from multiple sources (r = 0.343, P < 0.01), sharing with family and friends (0.216, P < 0.01), confirming the information with medical professionals (r = 0.168, P < 0.05), believing the Internet (r = 0.320, P < 0.01) is a helpful health information resource, and social media as a helpful (r = 0.269, P < 0.01) and accurate (r = 0.275, P < 0.01) source of health information.

Social media followers and health information seeking behavior

The number of followers on Instagram proved to be an important mediator of HISB of college students. The number of followers a health information provider has was fittingly positively correlated with the belief that social media is a helpful resource for health information r(233) = 0.18, P = 0.01. The number of followers of a health information provider on social media was positively correlated with the belief that information is accurate r(233) = 0.19, P = 0.01, in addition to sharing information without checking its accuracy r(235) = 0.32, P = 0.01.

Gathering information from multiple sources

Gathering information from multiple sources to ascertain its accuracy was frequently correlated with other variables, namely the belief that the internet is a useful source for health information r(235) = 0.42, P = 0.01,belief that the information is accurate r(233) = 0.34, P = 0.01 the number of followers of an Instagram information provider r(234) = 0.16, P = 0.05., the likelihood of confirming information with a health professional r(235) = 0.34, P = 0.01, and sharing information with family and friends without checking its accuracy r(235) = 0.18, P = 0.01.

Self diagnoses

Having diagnosed oneself with a medical issue using the Internet was positively correlated with confirming the information with a health or medical professional r(235) = 0.32, P = 0.01. The likelihood to confirm information found on the Internet with a medical professional was correlated with actually having seen one r(87) = 0.32, P = 0.01.

Accessing health and medical professionals

Chi-square tests indicated the frequency of accessing health and medical professionals across various demographic factors (Table 2). Students from families with two or more generations living in the United States accessed health professionals more frequently than students from one or less generation (χ2 = 8.107(2), P = 0.017). In terms of ethnicity, Asian students less frequently accessed health and medical professionals, (χ2 = 10.541(2), P = 0.005). In contrast, black students were more likely to access health and medical professionals (χ2 = 6.436(2), P = 0.04). They were also more likely to access community centers for health information (χ2 = 6.970(2), P = 0.031).

Table 2. Chi-square tests
Generation of Family
0 or 1*More than 2*Total
Health and Medical ProfessionalsAlways/Often6386149
Total 114118232
Chi-Square (df), p8.107(2),.017*
Income below/at/higher than median
0~49 99950 000~74 99975 000 and higherTotal
Health and Medical ProfessionalAlways/Often1121518145
Total 1703026226
Chi-Square (df), p9.739 (4), 0.045 *


Key results

The findings of this study are notable in that they explore immigration status as it relates to HISB. The findings from this study indicate that immigration status is an important influencer of seeking information from a medical professional. The literature offers a number of explanations for this outcome. Massey et al20highlight how both foreign-born nativity and language are significant determinants of health information seeking among non-White Hispanics. Disparities in access to healthcare for immigrant populations could also explain why said population is less likely to seek health information from medical professionals,21given the nativity-and citizenship-based exclusions from public programs for immigrants. Similarly, Filipino domestic migrant workers in Hong Kong cited language, immigration challenges, and quality of information as barriers to information seeking and scanning behaviors.22 Social support was found to be an important factor related to health information seeking among Korean immigrants.23 Also, Korean natives and Korean American immigrants had varying degrees of trust in information sources. The social networks created a sense of belonging, attenuated language barriers, and facilitated information flow. This social support is also manifested on social media, which even facilitates the immigration process itself for certain immigrants.24 Variation of health information seeking sources by socioeconomic status and race are also noteworthy factors to take into account when researching HISB.

Similar to previous research,5 this study found that digital HISB is prevalent among college students. This trend increased throughout the pandemic as college students used the internet and social media to acquire COVID-related health information.25,26 The use of online channels to acquire health information shows no signs of abating, yet college students’ ability to discern the credibility of that information remains underdeveloped.10,25,27While college students lack confidence in the e-health information they acquire, they readily share information with others in their network yet there is variation in seeking consultation from health providers.10 Thus, the primary distinctions among the research findings are in the health behaviors college students engage in after information seeking. The results of this study corroborate previous research that the likelihood for college students to confirm health information found digitally with medical health professionals varies by sociodemographic factors.7,10 This study is novel not only because of its racially and ethnically diverse sample, but also in identifying immigration status among urban college students as a potential determinant for HISB.

Also, while social networks prove effective tools to disseminate health information, ensuring the accuracy of information that is exchanged is of utmost importance. This means making concerted efforts to serve people in their native languages, especially given the diversity of the United States and the likelihood of immigrants turning to sources other than medical professionals when engaged in HISB. Also, targeted educational programs designed to increase health information seeking skills, including discernment of information quality may improve health outcomes for immigrant populations. To reduce health disparities, conditions that impede marginalized individuals from accessing healthcare and engaging with healthcare professionals should be addressed. These implications are especially important given that immigrant populations are disproportionately affected by chronic disease.28 Given that regard of information sources may change upon immigration to a new country,29 future research should explore this notion in order to serve our diverse populations in New York and nationally. Additional research is needed to explore the role of perceived credibility of social media influencers in educating the public about health issues.

This study is limited by the cross-sectional design which represents data collection at a single point in time that cannot be generalized to other populations. The responses are based on self-report. While the measurement tools were excerpted from larger validated instruments, its psychometric properties were not validated with the new population. Also, the historical factor of the pandemic may have both biased responses and reduced response rates. Finally, the sample size is relatively small to assess HISB in this cross-sectional survey.

Despite the limitations, this study fills a gap in the literature due to the limited amount of research done on immigration status and the diverse populations represented in this sample population. Further, this is a timely contribution to the literature due to the impending COVID-19 “infodemic.” This research can serve as a foundation to explore the generalizability of these findings to other similar schools.


The authors thank the Collaborative Research Group on Health Policy & Promotion & UrbanHealth Lab and York College (CUNY) for their support.

Author Contributions

Conceptualization: Vincent Jones II.

Data Curation: Sungwoo Kim.

Formal Analysis: Sungwoo Kim.

Investigation: Vincent Jones II.

Project administration: Shyanne Huggins.

Supervision: Corey Basch.

Writing – original draft, review & editing: Vincent Jones II, Sungwoo Kim, Apeksha Mewani, Erin T. Jacques, Mary-Andrée Ardouin-Guerrier, and Corey Basch.


This study received no funding.

Ethical Approval

This study was approved by the Institutional Review Board at York College Protocol number- 2020-0573.

Competing Interests

The authors declare that they have no conflict of interest.

Supplementary Files

Supplementary file 1. Correlations.


  1. Sexually risky behavior in college-aged students. Open J Prev Med 2014; 4(5):354-64. doi: 10.4236/ojpm.2014.45043 [Crossref]
  2. Google it!: urban community college students’ use of the internet to obtain self-care and personal health information. Coll Stud J 2015; 49(3):414-26.
  3. Health behaviors of culturally diverse inner-city community college students. J Am Coll Health 2016; 64(8):651-63. doi: 10.1080/07448481.2016.1223674 [Crossref]
  4. Mental health problems and help-seeking behavior among college students. J Adolesc Health 2010; 46(1):3-10. doi: 10.1016/j.jadohealth.2009.08.008 [Crossref]
  5. The role of risky behaviors and health education in college students’ health information acquisition on the internet. Proc Assoc Inf Sci Technol 2015; 52(1):1-10. doi: 10.1002/pra2.2015.145052010049 [Crossref]
  6. Everyday health communication experiences of college students. J Am Coll Health 2008; 56(4):427-36. doi: 10.3200/jach.56.44.427-436 [Crossref]
  7. Health information seeking behavior among college students. J Community Health 2018; 43(6):1094-9. doi: 10.1007/s10900-018-0526-9 [Crossref]
  8. Consumer health information seeking in social media: a literature review. Health Info Libr J 2017; 34(4):268-83. doi: 10.1111/hir.12192 [Crossref]
  9. An in-depth exploration of information-seeking behavior among individuals with cancer: part 1: understanding differential patterns of active information seeking. Cancer Nurs 2009; 32(1):11-23. doi: 10.1097/01.NCC.0000343372.24517.bd [Crossref]
  10. Online health information-seeking behaviors and skills of Chinese college students. BMC Public Health 2021; 21(1):736. doi: 10.1186/s12889-021-10801-0 [Crossref]
  11. ‘We have the internet in our hands’: Bangladeshi college students’ use of ICTs for health information. Global Health 2018; 14(1):31. doi: 10.1186/s12992-018-0349-6 [Crossref]
  12. Fox S. Profiles of Health Information Seekers. Pew Research Center: Internet Science and Tech. 1 Feb 2011. Available from: https://www.pewresearch.org/internet/2011/02/01/profiles-of-healthinformation-seekers/.
  13. Associations of health literacy, social media use, and self-efficacy with health information-seeking intentions among social media users in China: cross-sectional survey. J Med Internet Res 2021; 23(2):e19134. doi: 10.2196/19134 [Crossref]
  14. Willingness to adopt health information among social question-and-answer community users in China: cross-sectional survey study. J Med Internet Res 2021; 23(5):e27811. doi: 10.2196/27811 [Crossref]
  15. Social media: the key to health information access for 18- to 30-year-old college students. Comput Inform Nurs 2015; 33(4):132-41. doi: 10.1097/cin.0000000000000147 [Crossref]
  16. Health information on social media. Perceptions, attitudes, and practices of patients and their companions. Saudi Med J 2019; 40(12):1294-8. doi: 10.15537/smj.2019.12.24682 [Crossref]
  17. India’s COVID-19 burdens, 2020. Front Public Health 2021; 9:608810. doi: 10.3389/fpubh.2021.608810 [Crossref]
  18. Understanding older adults’ intention to share health information on social media: the role of health belief and information processing. Internet Res 2021; 31(1):100-22. doi: 10.1108/intr-12-2019-0512 [Crossref]
  19. College students’ health information activities on Facebook: investigating the impacts of health topic sensitivity, information sources, and demographics. J Health Commun 2016; 21(7):743-54. doi: 10.1080/10810730.2016.1157652 [Crossref]
  20. Nativity and language preference as drivers of health information seeking: examining differences and trends from a U.S. population-based survey. Ethn Health 2017; 22(6):596-609. doi: 10.1080/13557858.2016.1244745 [Crossref]
  21. Cautious citizenship: the deterring effect of immigration issue salience on health care use and bureaucratic interactions among Latino US citizens. J Health Polit Policy Law 2017; 42(5):925-60. doi: 10.1215/03616878-3940486 [Crossref]
  22. “Of and beyond medical consequences”: Exploring health information scanning and seeking behaviors of Filipino domestic service workers in Hong Kong. Health Care Women Int 2016; 37(8):855-71. doi: 10.1080/07399332.2015.1107071 [Crossref]
  23. The role of social support and social networks in health information-seeking behavior among Korean Americans: a qualitative study. Int J Equity Health 2015; 14:40. doi: 10.1186/s12939-015-0169-8 [Crossref]
  24. Coming to America: Iranians’ use of Telegram for immigration information seeking. Aslib J Inf Manag 2020; 72(4):561-85. doi: 10.1108/ajim-11-2019-0321 [Crossref]
  25. Digital health literacy and web-based information-seeking behaviors of university students in Germany during the COVID-19 pandemic: cross-sectional survey study. J Med Internet Res 2021; 23(1):e24097. doi: 10.2196/24097 [Crossref]
  26. Associations between COVID-19-related digital health literacy and online information-seeking behavior among Portuguese university students. Int J Environ Res Public Health 2020; 17(23):8987. doi: 10.3390/ijerph17238987 [Crossref]
  27. Web-based health information seeking and eHealth literacy among college students. A Self-report study. Invest Educ Enferm 2020; 38(1):e08. doi: 10.17533/udea.iee.v38n1e08 [Crossref]
  28. Associations between immigration-related user factors and eHealth activities for self-care: case of first-generation immigrants from Pakistan in the Oslo Area, Norway. JMIR Public Health Surveill 2019; 5(3):e11998. doi: 10.2196/11998 [Crossref]
  29. The influences of immigration on health information seeking behaviors among Korean Americans and Native Koreans. Health Educ Behav 2014; 41(2):173-85. doi: 10.1177/1090198113496789 [Crossref]
Submitted: 10 Dec 2021
Revised: 02 Aug 2022
Accepted: 04 Aug 2022
First published online: 10 Dec 2022
EndNote EndNote

(Enw Format - Win & Mac)

BibTeX BibTeX

(Bib Format - Win & Mac)

Bookends Bookends

(Ris Format - Mac only)

EasyBib EasyBib

(Ris Format - Win & Mac)

Medlars Medlars

(Txt Format - Win & Mac)

Mendeley Web Mendeley Web
Mendeley Mendeley

(Ris Format - Win & Mac)

Papers Papers

(Ris Format - Win & Mac)

ProCite ProCite

(Ris Format - Win & Mac)

Reference Manager Reference Manager

(Ris Format - Win only)

Refworks Refworks

(Refworks Format - Win & Mac)

Zotero Zotero

(Ris Format - FireFox Plugin)

Abstract View: 615
PDF Download: 285
Full Text View: 40