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PLOS One logoLink to PLOS One
. 2023 Sep 8;18(9):e0291414. doi: 10.1371/journal.pone.0291414

Cross-sectional study on public health knowledge among first-year university students in Japan: Implications for educators and educational institutions

Miwa Sekine 1,2,*, David Aune 1, Shuko Nojiri 2, Makino Watanabe 1,3, Yuko Nakanishi 4, Shinobu Sakurai 5, Tomomi Iwashimizu 6, Yasuaki Sakano 7, Tetsuya Takahashi 8, Yuji Nishizaki 1,2
Editor: Amos Buh9
PMCID: PMC10490915  PMID: 37683032

Abstract

In recent years, there have been increasing knowledge gaps and biases in public health information. This has become especially evident during the COVID-19 pandemic and has contributed to the spread of misinformation. With constant exposure to disinformation and misinformation through television, the internet, and social media, even university students studying healthcare-related subjects lack accurate public health knowledge. This study aimed to assess university students’ knowledge levels of basic public health topics before they started their specialized education. Participants in this cross-sectional study were first-year students from medical schools, health-related colleges, and liberal arts colleges. A self-administered electronic survey was conducted from April to May 2021 at a private university in Japan, comprising six colleges with seven programs. Data analysis, conducted from June to December 2022, included students’ self-reported public health knowledge, sources of information, and self-assessment of knowledge levels. Among the 1,562 students who received the questionnaire, 549 (192 male [35%], 353 female [64.3%], and 4 undisclosed [0.7%]) responded to one question (participants’ response rate for each question; 59.6%–100%). The results showed that students had limited public health knowledge, especially in sexual health topics, and 10% of students reported not learning in class before university admission the following 11 topics: two on Alcohol, Tobacco, and Other Drugs; eight on Growth, Development, and Sexual Health; and one on Personal and Community Health. These results indicate significant knowledge gaps and biases, as well as gender gaps, in public health education, especially in the area of sexual health, which may help educators and educational institutions to better understand and prepare for further specialized education. The findings also suggest a need to supplement and reinforce the foundation of public health knowledge for healthcare majors at the time of university admission.

Introduction

Public health knowledge is vital for a healthy society. In recent years, there has been a surge in the prevalence of sexually transmitted diseases (STDs) in industrialized countries [15], including Japan [6, 7]. This increase has been further exacerbated during the COVID-19 pandemic. The increase in STDs among females in their 20s and 30s, especially the prevalence of Chlamydia infections among females in their teens, is particularly notable in Japan [8, 9]. STD prevention is an integral part of public health, and it is taught in health and physical education in Japan. Historically, sexual education as an essential ingredient of health and physical education changed from “non-existent” to “teaching chastity” in 1949, after which sex-segregated sexual education was mainly concerned with physiological differences or merely teaching about menstruation, which further evolved to somewhat sex-integrated education in Japan only in recent years [10, 11]. Although strides have been made in addressing crucial subjects such as gender equality, social justice, reproductive rights, and public health education, female students still show preference for single-sex sexual education and female educators. In the presence of other sexes in the same room, sexual health can be uncomfortable to discuss or study [12], which makes conversations among them more challenging.

According to previous studies, there is a notable difference between the genders in their preferred sources of knowledge regarding sexual health. Female students’ ideal source of information was reported to be school as the primary source, followed by parents, friends, and the Internet. In contrast, male students preferred school as the primary source, followed by the Internet, friends, and parents, suggesting that there might be a difference in sexual education needs at home between male and female students [13]. Although diverse information sources generally mean more accurate knowledge of sexual health [14], not all information sources provide accurate information [15, 16], especially information sources such as the internet. Internet-based information could potentially be harmful due to the presence of inaccurate, misleading, or incomplete information based on insufficient or unsubstantiated “scientific” evidence or even sensational, anecdotal views [16]. In fact, people with lower health literacy were more likely to use and trust health information from social media, blogs, or celebrity webpages [17].

Education regarding STD prevention and basic public health education is included in the standard curriculum guidelines issued by the Ministry of Education, Culture, Sports, Science, and Technology (MEXT) under Health and Physical Education in Japan [18, 19]. However, health and sexual health education are not necessarily required for enrollment in any college because health topics are not included in entrance exams, leaving the extent of public health topics to each educator’s discretion prior to university enrollment. This possible lack of public health education also applies to students enrolled in healthcare-related universities.

Healthcare professionals are required to disseminate this information. The lack of or inaccurate knowledge of public health among healthcare professionals has a direct effect on the public. However, obtaining accurate health information is not necessarily easy for people of different social and economic backgrounds or even sexes. It has been reported that there are digital disparities, in which higher socio-economic status and higher education are factors positively associated with digital health information seeking, which could result from either a disparity of access or a disparity of literacy and comprehension [15, 16, 20]. Gender gaps exist in education [21, 22]. Additionally, other factors affecting public health knowledge exist, including promoting abstinence-only education, the lack of sexual health education altogether, or even the discouraging of its provision [23, 24]. The disparities in public health knowledge have been accentuated and brought to the forefront amidst the backdrop of the COVID-19 pandemic. This global crisis has magnified the existing gaps and biases, leading to the proliferation of misinformation and exacerbating knowledge disparities. A prominent consequence of this phenomenon has been the emergence of vaccine hesitancy, despite the development and widespread distribution [25, 26] of COVID-19 vaccines [27]. With constant exposure to disinformation and misinformation through television, the Internet, and social media [15, 28], it is imperative that younger generations, especially future healthcare providers, are given accurate health information that is the best available at the time.

Since the establishment of health promotion in the 1986 Ottawa Charter by the World Health Organization in Ottawa, Canada [29], numerous studies, reports, and surveys have been conducted on sexual education worldwide. However, it is unknown whether future healthcare professionals will acquire adequate health and public health knowledge before enrolling in university.

In this study, we surveyed healthcare-related college students to assess their level of public health knowledge and evaluate whether they have adequate knowledge before proceeding to specialized education in healthcare-related universities. The findings of this study can be beneficial for educators to supplement the gap in students’ essential knowledge, especially healthcare-related college students, in the aftermath of the COVID-19 pandemic.

Materials and methods

Study design and participants

We developed a self-administered questionnaire designed to assess and evaluate first-year university students’ knowledge of public health topics and conducted a cross-sectional study at Juntendo University, Tokyo, Japan. In order to assess public health knowledge prior to university with minimal influence of health-related knowledge from university classes, we selected first-year students within two months of admission to Juntendo University. Juntendo University is a private university that focuses on health science, comprising six colleges with seven programs: medicine, health care and nursing, health science and nursing, health science/radiological technology, health science/physical therapy, health and sports science, and international liberal arts. Table 1 presents the program characteristics.

Table 1. Basic characteristics of participants (n = 549).

Colleges Characteristics of colleges Total (%) Sex
Male (%) Female (%) Undisclosed (%)
Medicine Private medical school established in 1838, headquarters in Tokyo 74(13.5) 37(50) 37(50) 0(0)
Health Care and Nursing Nursing course serving greater Tokyo area 63(11.5) 1(1.6) 61(96.8) 1(1.6)
Health Science and Nursing Nursing course serving in the local area community of Shizuoka prefecture 90(16.4) 6(6.7) 84(93.3) 0(0)
Health Science/Physical Therapy Training course for physical therapists 83(15.1) 29(34.9) 54(65.1) 0(0)
Health Science/ Radiological Technology Training course for radiological technologists 30(5.5) 9(30) 20(66.7) 1(3.3)
Health and Sports Science Six courses related to sports. e.g., athlete, sports management, coaching, etc. 159(29) 94(59.1) 64(40.3) 1(0.6)
International Liberal Arts Courses on global sociological issues, intercultural communication, global health service 50(9.1) 16(32) 33(66) 1(2)
Total 549(100) 192(35) 353(64.3) 4(0.7)

NOTE. Values in parenthesis represent percentage of valid total N.

We distributed web-based questionnaires to the entire cohort of first-year students (n = 1,562) across seven programs at Juntendo University. We utilized the university’s universal message system to distribute the questionnaires among the different program divisions: Medicine (n = 136), Healthcare and Nursing (n = 204), Health Science and Nursing (n = 127), Health Science/Physical Therapy (n = 121), Health Science/Radiological Technology (n = 121) Health and Sports Science (n = 608), and International Liberal Arts (n = 245). This survey was conducted between April and May 2021. All participants provided informed consent and had the option to decline participation. Prior to their involvement, participants received a comprehensive overview of the study, including detailed information about data management procedures. They were informed that their data would be anonymized and participation was voluntary. We obtained informed consent from respondents by asking to tick the checkbox in the survey and collected the completed questionnaires. Respondents who did not provide informed consent were excluded from the study. Parental consent was not required since first-year students in Japan are 18 years of age or older. There were no other exclusion criteria.

Questionnaire and survey

To examine the differences in students’ awareness and knowledge of health and public health, we identified essential topics and public health knowledge from the Japanese curriculum guidelines, educational policies, educational contents of textbooks, and standard health education policies stipulated by the Centers for Disease Control and Prevention (CDC). We selected several crucial health education sections and topics shared by Japan and the United States: 1) Nutrition and Physical Activity; 2) Growth, Development, and Sexual Health; 3) Injury Prevention; 4) Alcohol, Tobacco, and Other Drugs; 5) Mental and Social Health; and 6) Personal and Community Health. We identified 31 knowledge topics for the educational content, which are listed in S1 Table. For each of these knowledge topics, we developed a set of three self-assessment questions, including: 1) the presence/absence of knowledge (acquired in class); 2) information sources for the knowledge; and 3) the level of knowledge on a 10-point scale ranging from 1 (no knowledge at all) to 10 (enough knowledge to teach someone else). In total, we prepared 86 self-assessment questions. We prepared five questions on knowledge of lifestyle-related diseases, contraception, LGBTQIA+ issues, pathogens causing infections, and transmission of infection, for a total of 91 questions (S2 Table). We developed the survey questions in consultation with medical and health education experts. We prepared a survey using Google Forms and administered it to all freshmen in all departments. All survey data was collected anonymously. The questionnaires included self-reported sex (i.e., male, female, undisclosed, or other). With a racially homogeneous environment and most university enrollment occurring immediately after high school, we did not ask about ethnicity or age to maintain anonymity. We consulted with two native English bilinguals and two native Japanese bilinguals to translate the questions and answers.

Data analysis

Descriptive analyses were performed to examine the respondents’ characteristics and responses. Frequencies and percentages were utilized for categorical variables, and means and standard deviations, or medians and 95% confidence intervals were utilized for continuous variables. If there was at least one answer to a question, the answer was accepted. Unless otherwise stated, the percentage was calculated based on the number of responses to each question. The number of topics for which students reported having knowledge and self-assessment knowledge levels was calculated as a percentage of the total knowledge score and total knowledge self-assessment score, and normality was tested using the Shapiro-Wilk test. The maximum score for total knowledge and self-assessment are 29 and 290, respectively. We converted the total knowledge score and self-assessment score into percentage scores, with a maximum attainable score of 100%. To evaluate knowledge level and self-assessment levels across colleges, we categorized scores below the 25th percentile as “Poor,” scores between the 25th and 75th percentile as “Fair,” and scores at or above the 75th percentile as “Good.” We examined the total knowledge and self-assessment scores, as well as the categorization of these scores into three levels (“Poor,” “Fair,” “Good”), using appropriate methods. Specifically, we employed Kruskal–Wallis tests for non-parametric variance analysis, performed one-way analysis of variance for parametric variance assessment, employed Pearson Chi-Square Tests for proportions, and conducted Bonferroni adjusted pairwise comparisons. These analyses aimed to evaluate whether statistically significant differences existed between colleges regarding knowledge and self-assessment levels. The undisclosed sex group was excluded from the examination based on sex comparison. The Pearson’s chi-square test was used to examine sex-based differences. Z-tests were used to further explore the differences, and the Bonferroni correction was employed to adjust for multiple comparisons. Mann-Whitney U tests were used to examine the mean rank differences in self-assessment by sex. Given the available resources and constraints in data collection, we gathered data from 549 first-year students, representing a subset of the total population of 1,562 first-year students within the university. As such, a formal sample size calculation or power analysis was not conducted because of the exploratory nature of this study and the comprehensive distribution of the questionnaire to the total first-year student population at Juntendo University.

All statistical analyses were performed using IBM SPSS Statistics for Windows, Version 28.0 (Armonk, NY: IBM Corp.). The p-value threshold for significance was adjusted for multiple comparisons using the Bonferroni correction. The threshold for statistical significance was set at p < .05.

Ethics statement

This study was approved by the Juntendo University Ethical Review Board (No. 2020324) and followed the Strengthening the Reporting of Observational Studies in Epidemiology Reporting Guidelines. We obtained informed consent from respondents and collected the completed questionnaires.

Results

Response

Among the 1,562 students who received the questionnaires, 549 (35.15%) responded to at least one question (response rate: total 35.1%, medicine 54.4%, healthcare and nursing 30.9%, health science and nursing 70.9%, health science/physical therapy 68.6%, health science/radiological technology 24.8%, health and sports science 26.2%, and international liberal arts 20.4%). The study included 192 male (35%) and 353 female students (64.3%). The participants’ response rate ranged from a minimum of 59.6% to a maximum of 100% (S2 Table).

Knowledge of public health topics total score and self-assessment total score

Kruskal–Wallis tests showed no significant differences among sexes [H(2) = 3.763, p = .152] or colleges in self-reported total knowledge scores among males [H(4) = 3.813, p = .432], females [H(4) = 8.175, p = .085], or total [H(4) = 2.186, p = .702] (Table 2A). Additionally, according to the one-way analysis of variance results, there were no significant differences between sexes [F(2, 494) = 0.001, p = .999] or colleges on the self-assessment total score among males [F(4, 163) = 0.353, p = .842], females [F(4, 320) = 1.940, p = .104], or total [F(4, 492) = 0.841, p = .500] (Table 2B). Pearson Chi-Square Tests indicated no significant differences among colleges in the three levels of knowledge (p = .122) or self-assessment (p = .635). However, a significant difference was observed among sexes in the three levels of self-assessment in the Health and Sports College (p = .011). Further pairwise comparison revealed significant differences in the “Poor” (p = .010) and “Fair” (p = .006) categories (Table 3).

Table 2. Total score rate of (A) students’ reported public health knowledge and (B) self-assessment.

(A)Knowledge (B)Self-assessment score
Male Female Total Male Female Total
N Median 95% CI N Median 95% CI N Median 95% CI N Mean±SD N Mean±SD N Mean±SD
Medicine 37 86.21 82.76–89.66 37 89.66 89.66–93.1 74 89.66 89.66–93.1 31 56.97±12.23 35 61.23±11.55 66 59.23±11.97
Nursing 7 89.66 86.21–100 145 86.21 86.21–89.66 153 86.21 86.21–89.66 7 61.53±11.13 132 56.01±13.39 140 56.16±13.34
Healthcare therapist 38 87.93 86.21–89.66 74 89.66 89.66–93.1 113 89.66 89.66–93.1 34 57.35±9.85 67 54.84±12.51 102 55.78±11.67
Health and sports 94 84.48 79.31–89.66 64 89.66 86.21–96.55 159 86.21 86.21–89.66 82 55.68±15.21 58 58.44±11.5 141 56.83±13.77
International liberal arts 16 79.31 79.31–93.1 33 89.66 86.21–96.55 50 86.21 79.31–89.66 14 57.17±16.85 33 55.09±14.4 48 55.93±14.93
Total 192 86.21 86.21–89.66 353 89.66 89.66–93.1 549 86.21 86.21–89.66 168 56.63±13.66 325 56.67±12.89 497 56.66±13.12

NOTE: The number of topics about which students reported having knowledge and their self-assessment knowledge level for the topic were calculated to percentage as score. N represents the number of students who answered all questions about self-assessment (S1 File).

Table 3. Three level of (A) students’ reported public health knowledge and (B) self-assessment.

(A)Knowledge (B)Self-assessment score
Male(%) Female(%) Total(%) Male(%) Female(%) Total(%)
Medicine Good 7(9.5) 11(14.9) 18(24.3) 8(12.1) 12(18.2) 20(30.3)
Fair 20(27) 22(29.7) 42(56.8) 16(24.2) 18(27.3) 34(51.5)
Poor 10(13.5) 4(5.4) 14(18.9) 7(10.6) 5(7.6) 12(18.2)
Total 37(50) 37(50) 74(100) 31(47) 35(53) 66(100)
Nursing Good 2(1.3) 22(14.4) 24(15.7) 3(2.1) 32(22.9) 35(25)
Fair 4(2.6) 68(44.4) 72(47.1) 3(2.1) 62(44.3) 65(46.4)
Poor 1(0.7) 55(35.9) 57(37.3) 1(0.7) 38(27.1) 40(28.6)
Total 7(4.6) 145(94.8) 153(100) 7(5) 132(94.3) 140(100)
Healthcare therapist Good 5(4.4) 16(14.2) 21(18.6) 6(5.9) 13(12.7) 19(18.6)
Fair 21(18.6) 36(31.9) 58(51.3) 24(23.5) 33(32.4) 58(56.9)
Poor 12(10.6) 22(19.5) 34(30.1) 4(3.9) 21(20.6) 25(24.5)
Total 38(33.6) 74(65.5) 113(100) 34(33.3) 67(65.7) 102(100)
Health and sports Good 16(10.1) 18(11.3) 34(21.4) 22(15.6) 13(9.2) 35(24.8)
Fair 40(25.2) 30(18.9) 71(44.7) 33(23.4) 37(26.2) 71(50.4)
Poor 38(23.9) 16(10.1) 54(34) 27(19.1) 8(5.7) 35(24.8)
Total 94(59.1) 64(40.3) 159(100) 82(58.2) 58(41.1) 141(100)
International liberal arts Good 3(6) 8(16) 11(22) 3(6.3) 8(16.7) 12(25)
Fair 4(8) 13(26) 18(36) 7(14.6) 15(31.3) 22(45.8)
Poor 9(18) 12(24) 21(42) 4(8.3) 10(20.8) 14(29.2)
Total 16(32) 33(66) 50(100) 14(29.2) 33(68.8) 48(100)
Total Good 33(6) 75(13.7) 108(19.7) 42(8.5) 78(15.7) 121(24.3)
Fair 89(16.2) 169(30.8) 261(47.5) 83(16.7) 165(33.2) 250(50.3)
Poor 70(12.8) 109(19.9) 180(32.8) 43(8.7) 82(16.5) 126(25.4)
Total 192(35) 353(64.3) 549(100) 168(33.8) 325(65.4) 497(100)

NOTE: Good: >75 percentile, Fair: 25–75 percentile, Poor: <25 percentile. The percentages represent the proportions relative to the total N of each college (S1 File).

Knowledge of public health topics and classroom involvement

There were 28 questions about whether students had knowledge of the topic and if they had learned it in class. More than 10% of the students were unfamiliar with 12 topics (two for Alcohol, Tobacco, and Other Drugs; nine for Growth, Development, and Sexual Health; and one for Personal and Community Health) of the 28 topics (Table 4A). More than 10% of the students responded that they did not learn about 11 topics (two for Alcohol, Tobacco, and Other Drugs; eight for Growth, Development, and Sexual Health; and one for Personal and Community Health) in class (Table 4B).

Table 4. Summary of students’ previous knowledge regarding public health topics: (A) Did not know about the topic; (B) Did not learn about the topic in classes.

(A) Did not know about the topic (B) Did not learn about it in classes
Total (N = 545) Sex (%) p Total (N = 545) Sex (%) P
Male (N = 192) Female (N = 353) Male (N = 192) Female (N = 353)
Nutrition and Physical Activity
Lifestyle-related diseases 46 (8.4) 19 (9.9) 27 (7.6) .348 11 (2) 7 (3.6) 4 (1.1) .044
Food poisoning 38 (7) 15 (7.8) 23 (6.5) .570 21 (3.9) 10 (5.2) 11 (3.1) .225
Allergic reaction 8 (1.5) 6 (3.1) 2 (0.6) .018 7 (1.3) 5 (2.6) 2 (0.6) .044
Alcohol, Tobacco, and Other Drugs
Health effect of smoking 1 (0.2) 1 (0.5) 0 (0) NA 0 (0) 0 (0) 0 (0) NA
Health hazard of passive smoking 10 (1.8) 1 (0.5) 9 (2.5) .092 5 (0.9) 1 (0.5) 4 (1.1) .475
Smoking effect on pregnancy 31 (5.7) 15 (7.8) 16 (4.5) .114 21 (3.9) 8 (4.2) 13 (3.7) .779
Dependence of smoking 6 (1.1) 1 (0.5) 5 (1.4) .341 2 (0.4) 0 (0) 2 (0.6)
Health effect of e-cigarettes 197 (36.1) 63 (32.8) 134 (38) .223 175 (32.1) 58 (30.2) 117 (33.1) .470
Effect of alcohol consumption 9 (1.7) 4 (2.1) 5 (1.4) .554 4 (0.7) 2 (1) 2 (0.6) .531
Alcohol consumption effect on pregnancy 39 (7.2) 20 (10.4) 19 (5.4) .030 24 (4.4) 11 (5.7) 13 (3.7) .269
Mental/physical effect of mind-altering drugs 1 (0.2) 1 (0.5) 0 (0) NA 1 (0.2) 1 (0.5) 0 (0) NA
Alcohol, smoking and drug addiction 33 (6.1) 12 (6.3) 21 (5.9) .888 17 (3.1) 7 (3.6) 10 (2.8) .602
Addiction 117 (21.5) 45 (23.4) 72 (20.4) .418 85 (15.6) 31 (16.1) 54 (15.3) .805
Growth, Development and Sexual Health
Ovulation and menstruation 17 (3.1) 15 (7.8) 2 (0.6) < .001 8 (1.5) 7 (3.6) 1 (0.3) .002
Ejaculation 21 (3.9) 1 (0.5) 20 (5.7) .003 10 (1.8) 1 (0.5) 9 (2.5) .094
How to use condoms 129 (23.7) 15 (7.8) 114 (32.3) < .001 86 (15.8) 10 (5.2) 76 (21.5) < .001
Woman’s basal body temperature 190 (34.9) 103 (53.6) 87 (24.6) < .001 139 (25.5) 76 (39.6) 63 (17.8) < .001
Measurement of woman’s basal body temperature 274 (50.3) 128 (66.7) 146 (41.4) < .001 217 (39.8) 106 (55.2) 111 (31.4) < .001
Fertilization and pregnancy 7 (1.3) 3 (1.6) 4 (1.1) .666 2 (0.4) 1 (0.5) 1 (0.3) .659
Gestation period and childbirth 67 (12.3) 30 (15.6) 37 (10.5) .085 24 (4.4) 15 (7.8) 9 (2.5) .004
Public services related to pregnancy 96 (17.6) 44 (22.9) 52 (14.7) .015 63 (11.6) 32 (16.7) 31 (8.8) .006
Significance and importance of family planning 155 (28.4) 60 (31.3) 95 (26.9) .293 118 (21.7) 43 (22.4) 75 (21.2) .768
Abortion under Maternal Health Act in Japan 98 (18) 46 (24) 52 (14.7) .008 67 (12.3) 35 (18.2) 32 (9.1) .002
Sex and gender 131 (24) 33 (17.2) 98 (27.8) .005 105 (19.3) 27 (14.1) 78 (22.1) .022
LGBTQIA+ 118 (21.7) 41 (21.4) 77 (21.8) .862 96 (17.6) 33 (17.2) 63 (17.8) .813
Personal and Community Health
Birth control pills and preventing sexually transmitted diseases 206 (37.8) 73 (38) 133 (37.7) .940 163 (29.9) 58 (30.2) 105 (29.7) .913
Prevention of sexually transmitted diseases 28 (5.1) 12 (6.3) 16 (4.5) .383 16 (2.9) 8 (4.2) 8 (2.3) .208
Vaccines 26 (4.8) 11 (5.7) 15 (4.2) .428 21 (3.9) 9 (4.7) 12 (3.4) .445

NOTE: Values in parenthesis represent percentage of valid N for each category. Results are based on two-sided tests for comparison between sexes. The p-value threshold for significance was adjusted for multiple comparisons using the Bonferroni correction. The threshold for statistical significance was set at p < .05 (S1 File).

Knowledge of specific public health items

Questions on whether they had knowledge of specific items, diseases, or terms like lifestyle-related diseases, contraception, LGBTQIA+ issues, pathogens causing infections, and transmission of infection showed that more than 75% of students reported that they had knowledge of at least one or more specific items (S3 Table).

Information sources for public health topics

We inquired about the sources of information for 29 topics and found that most students relied on teachers as their primary source of information. However, for 12 out of 29 topics, less than 75% of students chose teachers as their source of information. For nine out of 29 topics, more than 25% of the students relied on their parent(s) for information. While friends were not necessarily the primary source of information, more than 10% of students obtained information on six public health topics from friends. Additionally, the Internet was an important information source for all the topics. However, for six out of the 29 topics, more than 40% of the students selected the Internet as their primary source of information, with more than 50% selecting the Internet for two of the topics (Table 5).

Table 5. (A). Summary of sources of information regarding public health topics.

(B). Summary of sources of information regarding public health topics.

A
Teacher(s) as information source Parent(s) as information source
Total (N = 545) Sex (%) p Total (N = 545) Sex (%) p
Male (N = 192) Female (N = 353) Male (N = 192) Female (N = 353)
Nutrition and Physical Activity
Lifestyle-related diseases 467 (85.7) 161 (83.9) 306 (86.7) .397 142 (26.1) 58 (30.2) 84 (23.8) .100
Food poisoning 332 (60.9) 114 (59.4) 218 (61.8) .596 230 (42.2) 76 (39.6) 154 (43.6) .366
Allergic reaction 362 (66.4) 121 (63) 241 (68.3) .357 262 (48.1) 86 (44.8) 176 (49.9) .362
Alcohol, Tobacco, and Other Drugs
Health effect of smoking 491 (90.1) 174 (90.6) 317 (89.8) .831 246 (45.1) 83 (43.2) 163 (46.2) .491
Health hazard of passive smoking 481 (88.3) 166 (86.5) 315 (89.2) .212 179 (32.8) 65 (33.9) 114 (32.3) .761
Smoking effect on pregnancy 423 (77.6) 152 (79.2) 271 (76.8) .658 112 (20.6) 35 (18.2) 77 (21.8) .293
Dependence of smoking 470 (86.2) 168 (87.5) 302 (85.6) .530 186 (34.1) 72 (37.5) 114 (32.3) .222
Health effect of e-cigarettes 244 (44.8) 88 (45.8) 156 (44.2) .685 103 (18.9) 39 (20.3) 64 (18.1) .817
Effect of alcohol consumption 470 (86.2) 168 (87.5) 302 (85.6) .637 207 (38) 78 (40.6) 129 (36.5) .376
Alcohol consumption effect on pregnancy 435 (79.8) 157 (81.8) 278 (78.8) .171 130 (23.9) 43 (22.4) 87 (24.6) .636
Mental/physical effect of mind-altering drugs 501 (91.9) 173 (90.1) 328 (92.9) .334 113 (20.7) 44 (22.9) 69 (19.5) .338
Alcohol, smoking and drug addiction 480 (88.1) 169 (88) 311 (88.1) .926 130 (23.9) 61 (31.8) 69 (19.5) .001
Addiction 381 (69.9) 136 (70.8) 245 (69.4) .705 75 (13.8) 30 (15.6) 45 (12.7) .446
Growth, Development and Sexual Health
Ovulation and menstruation 475 (87.2) 166 (86.5) 309 (87.5) .675 222 (40.7) 23 (12) 199 (56.4) < .001
Ejaculation 453 (83.1) 159 (82.8) 294 (83.3) .495 28 (5.1) 12 (6.3) 16 (4.5) .417
How to use condoms 329 (60.4) 130 (67.7) 199 (56.4) .854 9 (1.7) 3 (1.6) 6 (1.7) .714
Woman’s basal body temperature 273 (50.1) 82 (42.7) 191 (54.1) .611 70 (12.8) 7 (3.6) 63 (17.8) < .001
Fertilization and pregnancy 488 (89.5) 172 (89.6) 316 (89.5) .794 44 (8.1) 11 (5.7) 33 (9.3) .131
Gestation period and childbirth 460 (84.4) 162 (84.4) 298 (84.4) .760 93 (17.1) 18 (9.4) 75 (21.2) .001
Public services related to pregnancy 351 (64.4) 121 (63) 230 (65.2) .843 193 (35.4) 54 (28.1) 139 (39.4) .020
Significance and importance of family planning 331 (60.7) 121 (63) 210 (59.5) .193 90 (16.5) 31 (16.1) 59 (16.7) .931
Contraception 427 (78.3) 154 (80.2) 273 (77.3) .548 35 (6.4) 10 (5.2) 25 (7.1) .381
Abortion under Maternal Health Act in Japan 386 (70.8) 135 (70.3) 251 (71.1) .751 28 (5.1) 3 (1.6) 25 (7.1) .006
Sex and gender 343 (62.9) 135 (70.3) 208 (58.9) .085 14 (2.6) 5 (2.6) 9 (2.5) .918
LGBTQIA+ 299 (54.9) 115 (59.9) 184 (52.1) .038 31 (5.7) 12 (6.3) 19 (5.4) .645
Personal and Community Health
Prevention of sexually transmitted diseases 459 (84.2) 167 (87) 292 (82.7) .081 31 (5.7) 9 (4.7) 22 (6.2) .475
Pathogens that cause infections 430 (78.9) 152 (79.2) 278 (78.8) .526 55 (10.1) 18 (9.4) 37 (10.5) .745
Transmission of infection 409 (75) 151 (78.6) 258 (73.1) .110 98 (18) 30 (15.6) 68 (19.3) .307
Vaccines 438 (80.4) 151 (78.6) 287 (81.3) .713 133 (24.4) 45 (23.4) 88 (24.9) .785
B
Friend(s) as information source Internet as information source
Total (N = 545) Sex (%) p Total (N = 545) Sex (%) p
Male (N = 192) Female (N = 353) Male (N = 192) Female (N = 353)
Nutrition and Physical Activity
Lifestyle-related diseases 17 (3.1) 12 (6.3) 5 (1.4) .002 208 (38.2) 83 (43.2) 125 (35.4) .069
Food poisoning 25 (4.6) 10 (5.2) 15 (4.2) .606 264 (48.4) 109 (56.8) 155 (43.9) .004
Allergic reaction 61 (11.2) 24 (12.5) 37 (10.5) .424 244 (44.8) 99 (51.6) 145 (41.1) .010
Alcohol, Tobacco, and Other Drugs
Health effect of smoking 45 (8.3) 24 (12.5) 21 (5.9) .008 233 (42.8) 98 (51) 135 (38.2) .004
Health hazard of passive smoking 33 (6.1) 26 (13.5) 7 (2) < .001 187 (34.3) 80 (41.7) 107 (30.3) .009
Smoking effect on pregnancy 14 (2.6) 9 (4.7) 5 (1.4) .022 152 (27.9) 62 (32.3) 90 (25.5) .105
Dependence of smoking 45 (8.3) 29 (15.1) 16 (4.5) < .001 173 (31.7) 78 (40.6) 95 (26.9) .001
Health effect of e-cigarettes 39 (7.2) 24 (12.5) 15 (4.2) .001 166 (30.5) 74 (38.5) 92 (26.1) .009
Effect of alcohol consumption 49 (9) 26 (13.5) 23 (6.5) .007 182 (33.4) 75 (39.1) 107 (30.3) .043
Alcohol consumption effect on pregnancy 19 (3.5) 10 (5.2) 9 (2.5) .096 146 (26.8) 54 (28.1) 92 (26.1) .512
Mental/physical effect of mind-altering drugs 32 (5.9) 17 (8.9) 15 (4.2) .028 223 (40.9) 94 (49) 129 (36.5) .004
Alcohol, smoking and drug addiction 39 (7.2) 25 (13) 14 (4) < .001 179 (32.8) 77 (40.1) 102 (28.9) .008
Addiction 17 (3.1) 9 (4.7) 8 (2.3) .141 136 (25) 54 (28.1) 82 (23.2) .303
Growth, Development and Sexual Health
Ovulation and menstruation 58 (10.6) 20 (10.4) 38 (10.8) .980 180 (33) 46 (24) 134 (38) .002
Ejaculation 88 (16.1) 52 (27.1) 36 (10.2) < .001 152 (27.9) 89 (46.4) 63 (17.8) < .001
How to use condoms 100 (18.3) 60 (31.3) 40 (11.3) < .001 167 (30.6) 94 (49) 73 (20.7) < .001
Woman’s basal body temperature 13 (2.4) 12 (6.3) 1 (0.3) < .001 102 (18.7) 32 (16.7) 70 (19.8) .901
Fertilization and pregnancy 46 (8.4) 28 (14.6) 18 (5.1) < .001 141 (25.9) 67 (34.9) 74 (21) < .001
Gestation period and childbirth 19 (3.5) 11 (5.7) 8 (2.3) .033 127 (23.3) 50 (26) 77 (21.8) .233
Public services related to pregnancy 7 (1.3) 4 (2.1) 3 (0.8) .198 105 (19.3) 43 (22.4) 62 (17.6) .101
Significance and importance of family planning 10 (1.8) 7 (3.6) 3 (0.8) .018 93 (17.1) 40 (20.8) 53 (15) .063
Contraception 90 (16.5) 48 (25) 42 (11.9) < .001 215 (39.4) 99 (51.6) 116 (32.9) < .001
Abortion under Maternal Health Act in Japan 8 (1.5) 4 (2.1) 4 (1.1) .356 132 (24.2) 48 (25) 84 (23.8) .622
Sex and gender 50 (9.2) 24 (12.5) 26 (7.4) .089 168 (30.8) 72 (37.5) 96 (27.2) .051
LGBTQIA+ 72 (13.2) 24 (12.5) 48 (13.6) .763 277 (50.8) 102 (53.1) 175 (49.6) .308
Personal and Community Health
Prevention of sexually transmitted diseases 37 (6.8) 26 (13.5) 11 (3.1) < .001 167 (30.6) 79 (41.1) 88 (24.9) < .001
Pathogens that cause infections 22 (4) 14 (7.3) 8 (2.3) .004 197 (36.1) 82 (42.7) 115 (32.6) .010
Transmission of infection 25 (4.6) 19 (9.9) 6 (1.7) < .001 286 (52.5) 107 (55.7) 179 (50.7) .225
Vaccines 21 (3.9) 16 (8.3) 5 (1.4) < .001 213 (39.1) 90 (46.9) 123 (34.8) .003

NOTE: Values in parenthesis represent the percentage of valid N for each category. Results are based on two-sided tests to compare between sex. The p-value threshold for significance was adjusted for multiple comparisons using the Bonferroni correction. The threshold for statistical significance was set at p < .05 (S1 File).

Self-assessment of knowledge level

The lowest level of self-assessed knowledge was 4.0 (95% CI, 4.0–5.0) for topics such as the health effects of e-cigarettes, women’s basal body temperature, and LGBTQIA+ issues. Moreover, the pinnacle of self-assessed knowledge reached 7.0 (95% CI, 7.0–8.0) on a scale with a maximum score of 10.0 for topics such as the health effects of smoking, the health hazards of passive smoking, smoking dependence, the mental and physical effects of mind-altering drugs, and ovulation and menstruation.

Comparison of previous knowledge and class involvement by sex

There was a significant difference between males and females in their previous knowledge of topics such as allergic reactions, alcohol consumption effects on pregnancy, ovulation and menstruation, ejaculation, how to use condoms, women’s basal body temperature, measurement of women’s basal body temperature, public services related to pregnancy, abortion under the Maternal Health Act in Japan, and sex and gender (Table 4A). Moreover, there were significant differences between males and females in reporting that they did not learn about certain topics in their classes, such as lifestyle-related disease, allergic reactions, ovulation and menstruation, how to use condoms, women’s basal body temperature, measurement of women’s basal body temperature, abortion under the Maternal Health Act in Japan, and sex and gender (Table 4B).

Comparison of sources of information by sex

Significantly more male students selected their teacher(s) as sources of information about LGBTQA+. However, significantly more female students selected their parent(s) as the source of information on the six topics. Furthermore, significantly more male students selected their friend(s) as a source of information than female students did for 20 out of the 29 topics. Additionally, significantly more male students reported the Internet as a source of information than female students for 16 out of 29 topics, while more female students reported the Internet as a source on one topic (Table 5).

Comparison of self-assessment by sex

The results of the Mann-Whitney U test demonstrated that male students reported significantly higher self-assessment scores on seven out of 29 topics, while female students reported significantly higher scores on five out of 29 topics (Table 6).

Table 6. Self-assessment of knowledge score comparison between sexes.

Key words Sex Male Female p
Nutrition and Physical Activity Mann-Whitney U Wilcoxon W Z N Mean Rank Rank Sum N Mean Rank Rank Sum
Lifestyle-related diseases 34776 96904 .786 190 264.5 50249 352 275.3 96904 .432
Food poisoning 34866 97347 .566 192 267.9 51439 353 275.8 97347 .571
Allergic reaction 38638 100414 2.984 191 244.7 46739 351 286.1 100414 .003
Alcohol, Tobacco, and Other Drugs
Health effect of smoking 31622 94103 -1.314 192 284.8 54682 353 266.6 94103 .189
Health hazard of passive smoking 31031 93512 -1.653 192 287.9 55274 353 264.9 93512 .098
Smoking effect on pregnancy 38054 99830 2.525 192 249.3 47867 351 284.4 99830 .012
Dependence of smoking 29867 91995 -2.182 191 291.6 55701 352 261.4 91995 .029
Health effect of e-cigarettes 31109 93237 -1.449 191 285.1 54459 352 264.9 93237 .147
Effect of alcohol consumption 34666 97147 .555 191 267.5 51093 353 275.2 97147 .579
Alcohol consumption effect on pregnancy 35638 97414 1.339 190 258.9 49197 351 277.5 97414 .181
Mental/physical effect of mind-altering drugs 33824 95952 .019 192 272.3 52288 352 272.6 95952 .985
Alcohol, smoking and drug addiction 33391 95872 -.287 192 275.6 52913 353 271.6 95872 .774
Addiction 32058 92436 -.534 190 273.8 52017 347 266.4 92436 .593
Growth, Development and Sexual Health
Ovulation and menstruation 56749 119230 13.155 192 153.9 29556 353 337.8 119230 < .001
Ejaculation 16419 78900 -10.037 192 364.0 69886 353 223.5 78900 < .001
How to use condoms 16618 77344 -9.668 191 357.0 68186 348 222.3 77344 < .001
Measurement of woman’s basal body temperature 46965 108741 8.176 188 195.7 36790 351 309.8 108741 < .001
Fertilization and pregnancy 30672 92800 -1.611 190 286.1 54353 352 263.6 92800 .107
Pregnancy and childbirth 35016 97497 .860 190 264.2 50199 353 276.2 97497 .390
Public services related to pregnancy 36979 98755 2.008 191 253.4 48398 351 281.4 98755 .045
Significance and importance of family planning 35190 95568 1.306 190 257.3 48886 347 275.4 95568 .192
Contraception 27879 89655 -3.189 190 299.8 56957 351 255.4 89655 .001
Abortion under Maternal Health Act in Japan 36010 97085 1.669 190 255.0 48446 349 278.2 97085 .095
Sex and gender 29588 90663 -2.179 191 290.1 55408 349 259.8 90663 .029
LGBTQIA+ 32848 93923 -.078 189 270.2 51068 349 269.1 93923 .938
Personal and Community Health
Prevention of sexually transmitted diseases 27177 88953 -3.597 190 303.5 57658 351 253.4 88953 < .001
Pathogens that cause infections 27178 88603 -3.467 189 301.2 56927 350 253.2 88603 < .001
Transmission of infection 30853 92629 -1.362 189 282.8 53441 351 263.9 92629 .173
Vaccines 33252 93630 .376 188 264.6 49750 347 269.8 93630 .707

NOTE: Mann–Whitney U test was used for comparison. The p-value threshold for significance was adjusted for multiple comparisons using the Bonferroni correction. The threshold for statistical significance was set at p < .05 (S1 File).

Discussion

This study aimed to assess the knowledge, sources of information, and self-assessment of essential public health topics among university students before beginning their healthcare education, as well as to evaluate differences in the choice of colleges that indicate their desired career path. To the best of our knowledge, there has been no prior investigation into the public health knowledge of healthcare university students before beginning their college education.

Although students reported being familiar of most of the health topics surveyed, there appeared to be a lack of knowledge in certain areas and reliance on skewed information sources, as detailed below.

Nutrition and physical activity

Ninety percent or more of the students affirmed their awareness of all three questions related to food poisoning and allergies, and reported their parent(s) and the Internet as sources of information. This finding suggests that education on public health knowledge related to daily life is likely to be provided at home. Although many students reported the internet as their source of information, it is important to note that the information available on the internet is not necessarily accurate. This could be particularly critical in situations related to food poisoning or allergies, where inaccurate information could have serious consequences.

Alcohol, tobacco, and other drugs

Over 75% of students indicated acquiring information concerning alcohol, tobacco, and other substances from both inside and outside the classroom, with the exception of the health impacts of e-cigarettes. The information sources included teachers, parents, and the Internet. However, many students were unaware of the health impact of e-cigarettes and addiction as a disease. They stated that they had never learned about these two topics in school. Although e-cigarettes are relatively new, their negative health effects have been reported in Japan and worldwide [30, 31]. The regulations for conventional cigarettes do not apply to e-cigarettes [32], leading to many advertisements targeting younger generations that present e-cigarettes as a less harmful alternative. We believe that education on this topic is essential in schools.

Growth, development, and sexual health

Nine out of the 12 topics had 10% or more students who reported having no knowledge, and 10% or more students reported that they had not learned about eight of these topics in class. In particular, fewer female students reported knowing how to use condoms, and fewer male students reported knowing about women’s basal temperatures. Furthermore, male students reported the Internet as a source of information on how to use condoms, and female students reported parents as a source of information on the basal temperature of women. In addition, many students reported not having learned about the public services available during pregnancy, the importance of family planning, biological and social concepts of sex, gender identity, and what LGBTQIA+ stands for in school. They reported friends as the information source for these topics. Despite LGBTQIA+ individuals having specific healthcare requirements, curricula do not address these requirements in depth [33]. It is important for future healthcare workers to receive adequate education regarding sexual health and related public services, as well as LGBTQIA+-related health information, to provide appropriate healthcare to diverse societies.

Personal and community health

Interestingly, many students reported knowing about infection pathways, vaccination, and essential information during the COVID-19 pandemic, with the Internet having a high percentage as a source of information. It is speculated that this awareness may be due to the COVID-19 pandemic. This finding is consistent with previous reports on knowledge and information sources regarding COVID-19 from around April 2020 in nursing [34], medicine [35], medical and health science [36], and undergraduate and postgraduate students [37]. These previous reports confirmed that students had adequate knowledge of COVID-19, and for the majority of students, the source of information was social media. Furthermore, many students reported that their sources of information about vaccination were their parents, compared with other topics. It can be speculated that vaccination, especially for minors, is a parental decision, even in the case of the COVID-19 vaccination. There have been reports that many people with vaccine hesitancy obtain information from the Internet and celebrities and tend to be suspicious of healthcare providers [3841]. Therefore, education and communication are crucial [42, 43]. Environmental education studies on university freshmen have reported that the most important source of environmental education is the family, which provides long-term information and influences students’ knowledge and attitudes [44]. Thus, although accurate knowledge must be imparted to children in school, parents should also have access to accurate sources of information.

Overview

This study revealed skewed information sources, with more male students relying on the Internet and friends as information sources and a disparity between sexes in knowledge and self-assessment, especially regarding sexual health. Our results are consistent with a previous study on the source of sexual knowledge, which reported that female students’ ideal source of knowledge was school as a primary source, while male students preferred the Internet, friends, and parents in that order [13]. However, the disparity in class involvement for knowledge between the sexes on some sexual health topics in our study is notable. Although more female students reported that they did not learn about “how to use condoms” or “sex and gender” in class, more male students reported that they did not learn about topics related to women’s sexual health, such as “women’s basal body temperature” or “gestation period and childbirth”. We could speculate about several possibilities to explain this disparity. One possibility is actual educational differences based on sex, while the other is perceived differences. Historically, sexual education in Japan was conducted separately based on sex until recently [10, 45, 46]. Due to the long history of sexual education or lack thereof in Japan, students may consider topics not directly connected to their sex as irrelevant to them or not theirs to learn, thinking it is not their concern. With Japan ranking 120th out of 156 countries in 2021 in the Global Gender Gap Index, it is crucial to educate not only students but also parents and educators that sexual health education is equally essential regardless of sex. Teaching sex education as health education, rather than merely teaching physiological differences and reproductive functions, is crucial to raising awareness of infection prevention, especially sexually transmitted infections, as well as enriching students’ lives to build a healthy society [47]. However, this survey also demonstrated that practical and essential knowledge of real life was somewhat limited, despite students’ knowledge of physiological differences.

This lack of knowledge is likely contributing to the increasing rates of sexually transmitted infections among young people within Japan and worldwide [3, 5]. With the rise of HIV/AIDS in the 1980s [48, 49], the importance of health education, including sex education, came to the forefront. However, political and social background differences have resulted in varying approaches to sexual health education worldwide, with some countries promoting abstinence-only education, lacking sexual health education altogether, or even discouraging its provision.

During the COVID-19 pandemic, educational lectures and practical training were moved to online formats, including healthcare education [50, 51]. While some countries and regions have accelerated medical students’ graduation and assigned them to work [52], the role of medical students during the pandemic remains controversial [53]. It is vital for the public, especially healthcare students, to have accurate public health information in this day and age. Thus, understanding these students’ knowledge gaps provides an opportunity to supplement and reinforce their understanding of critical health topics.

Limitations

There are some limitations to this study. First, while we surveyed seven college programs, we only conducted the study at one Japanese university. Thus, we cannot ignore the possibility that the results would be different if the study were conducted at a different university or country. Second, to the best of our knowledge, we were unable to find a validated public health knowledge questionnaire suitable for this study, and hence, we selected topics from the curriculum guidelines and current official textbooks ourselves. To provide anonymity, obtain honest answers, and give students the opportunity to gain insight into their own information gaps, we did not test the students; instead, we had them self-report their knowledge or lack thereof. Thus, there is a possibility of inaccurate reporting of their knowledge. Thirdly, we cannot rule out the possibility that students who answer surveys are not representative of the entire population. Finally, this study was conducted during the COVID-19 pandemic. Although the study provides a glimpse into students’ knowledge and attitudes in the age of the pandemic, the results may not be generalizable. Therefore, we recommend conducting further research on public health knowledge, both within and beyond Japan, to better understand the current state of health education and identify areas for improvement.

Implications

In Japan, health and sexual health education are not considered as enrollment requirements in any college, including health-related colleges, considering that they are not included in entrance exams. Therefore, students seldom receive health education, let alone enough to proceed with higher healthcare education. Additionally, Japanese medical students’ choice to attend medical school tends to be extrinsically rather than intrinsically motivated. Thus, they choose medicine because their grades are suitable for medical school admission. Although differences in knowledge on individual topics exist, no significant differences in total knowledge or total self-assessment scores were observed between colleges. Although further research is needed, we can speculate that medical students are not necessarily focusing on learning each topic related to public health towing to the reasons above, and they are not as interested in public health topics as is expected. The health topics in this study are particularly crucial topics derived from preschool curricula and textbooks through the end of high school in Japan and the United States. Hence, they are not expected to be taught in universities or healthcare-related colleges. In other words, the lack of knowledge at this point may not be supplemented before students become healthcare workers. To address this issue, we believe that supplemental education reinforcing public health knowledge at the beginning of university education is beneficial. However, conventional classroom education may not be effective as students may not consider all topics to be of concern. Instead, we suggest using student-centered learning methods, such as problem-based learning [54], project-based learning [55], and flipped classrooms [56], as additional supplemental basic public health knowledge education after enrollment. We believe that this approach will lay the foundation for future healthcare workers’ knowledge and, subsequently, enhance the essential knowledge and awareness required for a healthy society.

Conclusions

In this cross-sectional study, we identified a significant knowledge gap and an overreliance on misinformation sources concerning public health, particularly sexual health, which varied by gender. This finding emphasizes the need for early public health education and awareness-raising efforts in universities, emphasizing the equal importance of public health knowledge regardless of gender. Japanese education systems primarily focus on preparing students for university entrance exams, which has led to the neglect of health education as it is not a mandatory part of the exam or university admission requirements. Given the widespread misinformation present in today’s world, a policy for improving health education is essential not only to address the lack of accurate knowledge and prevent healthcare workers from acquiring erroneous information but also to raise awareness and decrease the gender gap in sexual health. In conclusion, introducing healthcare-related knowledge to university students, particularly as part of freshmen or healthcare-related schools’ curricula, would be beneficial for building a healthy society. This approach would run in parallel with professional training and contribute to creating awareness about public health issues, ultimately leading to a better-informed population and a healthier society.

Supporting information

S1 Table. List of specific knowledge questions regarding public health topics and answer choices (multiple answers).

(DOCX)

S2 Table. Inventory of questionnaire items, along with individual question response rates and corresponding keywords in tables.

(DOCX)

S3 Table. Comparison of students’ previous knowledge between sexes.

(DOCX)

S1 File. Questionnaire raw data.

(SAV)

Acknowledgments

The authors express their gratitude to Editage™ for their assistance in editing the manuscript. Additionally, we extend our thanks to the students who participated in this study.

Data Availability

All relevant data are within the paper and its Supporting Information files.

Funding Statement

Initials of the authors who received each award: MS Grant number: 18K13259 The full name of funder: JSPS KAKENHI URL of funder website: https://www.jsps.go.jp/english/e-grants/ The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Decision Letter 0

Amos Buh

13 Jul 2023

PONE-D-23-16475Cross-Sectional Study on Public Health Knowledge among First-Year University Students in Japan: Implications for Educators and Educational InstitutionsPLOS ONE

Dear Dr. Sekine,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process. Please see comments below and revise your manuscript accordingly.

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Amos Buh, BSc., MPH

Academic Editor

PLOS ONE

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Please have this manuscript reviewed by a native English speaker for correction of grammatical and typographical errors. Also, revise the manuscript following the reviewer comments.

[Note: HTML markup is below. Please do not edit.]

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Reviewer #1: Partly

Reviewer #2: Partly

Reviewer #3: Yes

**********

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Reviewer #2: Yes

Reviewer #3: Yes

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Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: Yes

**********

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**********

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Reviewer #1: Although the paper has merit, there is little value of the findings of the study for the wider scientific community. Perhaps a local journal will be interested in the findings of the study. Moreover there is extensive published literature in this area.

Reviewer #2: - The abstract summarises the main findings. Mention the impact of COVID-19 pandemic on misinformation and knowledge disparities in the introduction part as well.

- Methods: Mention the sample size calculation and power analysis used. Also, the methods section needs to be expanded and should include how the participants were recruited into the study and how authors choose to select the sample.

- Results: the table font and size should be consistent and are hard to read. Consider splitting the tables, in particular Table 4.

- Manuscript must to be revised for typos/grammar by a native English speaker.

Reviewer #3: Title: Cross-Sectional Study on Public Health Knowledge among First-Year University

Students in Japan: Implications for Educators and Educational Institutions.

The title is in line with study objectives and the results

Abstract: Not structured

• Line 56 - Response rate: How well does response to one question a good measure of response rate? If this is used as response rate it is desirable to also mention the proportion that responded to the questions and were used for data analysis.

• Line 57 - The results revealed that health knowledge, …… Is it health knowledge or public health knowledge. They are not the same. It is therefore important to be consistent.

Introduction: Detailed information on statement of problem as well as rational for the study clearly presented.

• Line 68 - 1st sentence: Avoid 1 - sentence paragraph

Methods: Fairly well described.

• Line 182 …..total knowledge and self-assessment scores - What is the maximum total score from the survey tool. It is desirable to categorise total score for respondents into poor, fair and good.

Result: Well written in details with relevant tables and figures

• Line 200 …… 549 responded - Include the percentage

• Line 208 & 212 - change 'in' to 'among'

• Line 252: … self-assessed knowledge was 7.0 - Out of a maximum score of what?

• Line 302: The use of the word numerous does not in any way give readers a clear idea of the magnitude or level of knowledge. It is more than three-quarter or more than half.

Discussion: The study findings are well discussed, with study limitations provided.

Conclusion: Clearly written with appropriate recommendation.

**********

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Reviewer #2: No

Reviewer #3: Yes

**********

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Attachment

Submitted filename: PONE-D-23-16475-R1.pdf

PLoS One. 2023 Sep 8;18(9):e0291414. doi: 10.1371/journal.pone.0291414.r002

Author response to Decision Letter 0


17 Aug 2023

Manuscript PONE-D-21-35513

Response to Reviewers

Dear Dr. Buh

We extend our sincere gratitude to you for affording us the privilege to submit a revised version of the manuscript titled “Cross-Sectional Study on Public Health Knowledge among First-Year University Students in Japan: Implications for Educators and Educational Institutions” for consideration in PLOS ONE. We appreciate the time and effort you and the reviewers dedicated to providing feedback on our manuscript. Your invaluable insights and constructive comments have significantly enriched the quality of our paper. We have diligently incorporated most of the recommendations proposed by the reviewers, and these changes are highlighted within the manuscript. For a comprehensive overview of our responses to the reviewers’ comments and concerns, please find the detailed point-by-point response highlighted in blue below. Kindly note that all page references refer to the revised manuscript file with tracked changes.

Additional Editor Comments:

Please have this manuscript reviewed by a native English speaker for correction of grammatical and typographical errors. Also, revise the manuscript following the reviewer comments.

Author response: We express our gratitude for this recommendation. The manuscript has been carefully reviewed by an experienced editor, who is proficient in the English language and has specialized expertise in editing papers written by non-native English-speaking scientists.

Reviewers' Comments to the Authors:

Reviewer #1:

Although the paper has merit, there is little value of the findings of the study for the wider scientific community. Perhaps a local journal will be interested in the findings of the study. Moreover there is extensive published literature in this area.

Author response: We express our gratitude to Reviewer#1 for their insightful comments. While we acknowledge and concur with the reviewer’s feedback regarding the significance of this study for local journals, we believe that the contributions of this study extends beyond regional boundaries. This study holds the potential to make a meaningful impact on the broader academic community, as it delves into the public health knowledge and awareness of first-year university students. The insights garnered from our study can prove invaluable to educators worldwide. Although our findings perhaps emanate from a specific local context, they are designed to offer actionable solutions for educators, not only within this context but also in a more global perspective. These insights can be particularly pertinent during future crises, fostering adaptable approaches rooted in the observations and conclusions drawn from our research.

Reviewer #2:

Author response: We extend our sincere appreciation to Reviewer #2 for their valuable and insightful suggestions that have helped us to improve our paper considerably. As indicated in the subsequent responses, we have incorporated each of these comments and suggestions into the revised version of our paper (yellow highlighted).

1. The abstract summarizes the main findings. Mention the impact of COVID-19 pandemic on misinformation and knowledge disparities in the introduction part as well.

Author response: We appreciate your suggestion. We have incorporated the impact of COVID-19 pandemic on misinformation and knowledge disparities into the introduction section.

The revised text reads as follows on [page 5, line 111]:

“The disparities in public health knowledge have been accentuated and brought to the forefront amidst the backdrop of the COVID-19 pandemic. This global crisis has magnified the existing gaps and biases, leading to the proliferation of misinformation and exacerbating knowledge disparities. A prominent consequence of this phenomenon has been the emergence of vaccine hesitancy, despite the development and widespread distribution of COVID-19 vaccines.”

2. Methods: Mention the sample size calculation and power analysis used. Also, the methods section needs to be expanded and should include how the participants were recruited into the study and how authors choose to select the sample.

Author response: We appreciate your suggestion. Because this was an exploratory study encompassing the distribution of questionnaires to all first-year students at Juntendo University, we did not determine the sample size or conduct power analysis. We have revised and clarified the methodological aspects relating to sample size calculation, power analysis and participant recruitment in the Method section.

The revised text reads as follows on [page 7, line 144]:

“We distributed web-based questionnaires to the entire cohort of first-year students (n = 1,562) across seven programs at Juntendo University. We utilized the university’s universal message system to distribute the questionnaires among the different program divisions: Medicine (n = 136), Healthcare and Nursing (n = 204), Health Science and Nursing (n = 127), Health Science/Physical Therapy (n = 121), Health Science/Radiological Technology (n = 121) Health and Sports Science (n = 608), and International Liberal Arts (n = 245). This survey was conducted between April and May 2021. All participants provided informed consent and had the option to decline participation. Prior to their involvement, participants received a comprehensive overview of the study, including detailed information about data management procedures. They were informed that their data would be anonymized and participation was voluntary.”

The revised text reads as follows on [page 10, line 207]:

“Given the available resources and constraints in data collection, we gathered data from 549 first-year students, representing a subset of the total population of 1,562 first-year students within the university. As such, a formal sample size calculation or power analysis was not conducted because of the exploratory nature of this study and the comprehensive distribution of the questionnaire to the total first-year student population at Juntendo University.”

3. - Results: the table font and size should be consistent and are hard to read. Consider splitting the tables, in particular Table 4.

Author response: We express our gratitude for this suggestion. We have addressed the font size discrepancy for consistency and implemented a split in Table 4, dividing it into Table 4(A) and Table 4(B) to enhance readability.

The revised tables are on [pages 18–20]:

4. - Manuscript must to be revised for typos/grammar by a native English speaker.

Author response: We appreciate your suggestion. We have had the manuscript language professionally reviewed.

Reviewer #3:

Author response: We extend our sincere gratitude to Reviewer #3 for their insightful comments and valuable suggestions that have helped us to considerably enhance the quality of our paper. As indicated in the subsequent responses, we have diligently incorporated each of these comments and suggestions into the revised version of our paper (blue highlighted).

1. • Line 56 - Response rate: How well does response to one question a good measure of response rate? If this is used as response rate it is desirable to also mention the proportion that responded to the questions and were used for data analysis.

Author response: We appreciate you for this suggestion. We have integrated the response rate for each question into Supplemental table 2, accompanied by corresponding descriptions within the abstract and result sections.

The revised text reads as follows on [page 3, line 55]:

“(participants’ response rate for each question; 59.6%–100%)”

The revised text reads as follows on [page 11, line 229]:

“The participants’ response rate ranged from a minimum of 59.6% to a maximum of 100% (Supplemental Table S2).”

The revised text reads as follows on [Supplemental table 2]:

“Inventory of questionnaire items, along with individual question response rates and corresponding keywords in tables”

2. Line 57 - The results revealed that health knowledge, …… Is it health knowledge or public health knowledge. They are not the same. It is therefore important to be consistent.

Author response: We appreciate you for this suggestion. We have directed our focus toward public health knowledge; hence, we have appropriately rectified the terminologies. Additionally, we have revised the sentence.

The revised text reads as follows on [page 3, line 42]:

“knowledge gaps and biases in public health information”

The text was revised on [page 3, line 58; page 8, line 160; page 24, line 339; page 30, line 475],

3. Line 68 - 1st sentence: Avoid 1 - sentence paragraph.

Author response: We appreciate you for this suggestion. We have revised the first paragraph.

The revised text reads as follows on [page 4, line 66]:

“Public health knowledge is vital for a healthy society. In recent years,...”

4. Line 182 -total knowledge and self-assessment scores - What is the maximum total score from the survey tool. It is desirable to categorise total score for respondents into poor, fair and good.

Author response: We express our gratitude to you for this suggestion. We have incorporated population tables representing three distinct score levels: Poor (below the 25 percentile), Fair (25–75 percentile), and Good (75 percentile). These tables, designated as Table 2-2, have been included in our work. Additionally, we have included corresponding descriptions within the data analysis and results sections to provide comprehensive insights into the findings.

The revised text reads as follows on [page 9, line 191]:

“The maximum score for total knowledge and self-assessment are 29 and 290, respectively. We converted the total knowledge score and self-assessment score into percentage scores, with a maximum attainable score of 100%. To evaluate knowledge level and self-assessment levels across colleges, we categorized scores below the 25th percentile as “Poor,” scores between the 25th and 75th percentile as “Fair,” and scores at or above the 75th percentile as “Good.” We examined the total knowledge and self-assessment scores, as well as the categorization of these scores into three levels (“Poor,” “Fair,” “Good”), using appropriate methods. Specifically, we employed Kruskal–Wallis tests for non-parametric variance analysis, performed one-way analysis of variance for parametric variance assessment, employed Pearson Chi-Square Tests for proportions, and conducted Bonferroni adjusted pairwise comparisons. These analyses aimed to evaluate whether statistically significant differences existed between colleges regarding knowledge and self-assessment levels.”

The revised text reads as follows on [page 11, line 239]:

“Pearson Chi-Square Tests indicated no significant differences among colleges in the three levels of knowledge (p=.122) or self-assessment (p=.635). However, a significant difference was observed among sexes in the three levels of self-assessment in the Health and Sports College (p=.011). Further pairwise comparison revealed significant differences in the “Poor” (p=.010) and “Fair” (p=.006) categories”

The revised tables on [Table 2-1, Table 2-2]

The revised text of table number on [page 11, line 235; page 11, line 239; page 11, line 243]:

5. Line 200-549 responded - Include the percentage.

Author response: We appreciate your suggestion. We have incorporated the percentage.

The revised text reads as follows on [page 11, line 224]:

“549 (35.15%) responded”

6. Line 208 & 212 - change 'in' to 'among'.

Author response: We appreciate your feedback. We have made the necessary revisions as you suggested.

The revised text reads as follows on [page 11, line 234]:

“Knowledge score among”

The revised text reads as follows on [page 11, line 237]:

“total scores among”

7. Line 252: … self-assessed knowledge was 7.0 - Out of a maximum score of what?

Author response: We appreciate you for this suggestion. We have revised the corresponding sentence to clarify the maximum score.

The revised text reads as follows on [page 21, line 295]:

“the pinnacle of self-assessed knowledge reached 7.0 (95% CI, 7.0–8.0) on a scale with a maximum score of 10.0”

8. Line 302: The use of the word numerous does not in any way give readers a clear idea of the magnitude or level of knowledge. It is more than three-quarter or more than half..

Author response: We appreciate your suggestion. We have addressed terminological corrections and made sentence revisions to enhance clarity.

The revised text reads as follows on [page 24, line 346]:

“Over 75% of students indicated acquiring information concerning alcohol, tobacco, and other substances from both inside and outside the classroom, with the exception of the health impacts of e-cigarettes.”

Attachment

Submitted filename: Response_to_Reviewers.docx

Decision Letter 1

Amos Buh

30 Aug 2023

Cross-Sectional Study on Public Health Knowledge among First-Year University Students in Japan: Implications for Educators and Educational Institutions

PONE-D-23-16475R1

Dear Dr. Sekine,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

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Kind regards,

Amos Buh, BSc., MPH

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #2: All comments have been addressed

Reviewer #3: All comments have been addressed

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2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #2: Yes

Reviewer #3: Yes

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3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #2: Yes

Reviewer #3: Yes

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4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #2: Yes

Reviewer #3: Yes

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5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #2: Yes

Reviewer #3: Yes

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6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #2: All the comments has been addressed by the author. Particularly related to the introduction, methodology, and display of results.

Reviewer #3: The authors have adequately corrected all suggestions and corrections mentioned in the first review. The correctios are quite satisfactory.

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Reviewer #2: Yes: Melodie Al Daccache

Reviewer #3: Yes: Prof. Tanimola Makanjuola Akande

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Acceptance letter

Amos Buh

1 Sep 2023

PONE-D-23-16475R1

Cross-Sectional Study on Public Health Knowledge among First-Year University Students in Japan: Implications for Educators and Educational Institutions

Dear Dr. Sekine:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

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Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Mr. Amos Buh

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Table. List of specific knowledge questions regarding public health topics and answer choices (multiple answers).

    (DOCX)

    S2 Table. Inventory of questionnaire items, along with individual question response rates and corresponding keywords in tables.

    (DOCX)

    S3 Table. Comparison of students’ previous knowledge between sexes.

    (DOCX)

    S1 File. Questionnaire raw data.

    (SAV)

    Attachment

    Submitted filename: PONE-D-23-16475-R1.pdf

    Attachment

    Submitted filename: Response_to_Reviewers.docx

    Data Availability Statement

    All relevant data are within the paper and its Supporting Information files.


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