1. Introduction
General health status and health
behaviors of adolescents have been closely monitored in recent years [1–3]. It is estimated that
adolescents comprise one-sixth of the world's population. In this well-known
healthy phase of life, one million adolescents die each year from illness and
injuries [4]. Smoking,
obesity, insufficient physical activity, heavy episodic dirnking are main the
risk factors for adolescents [5]. The common denominator in these factors are that most adolescent
morbidity and mortality is related to individual behaviors and, as such, is
preventable [6].
Adolescent health and well-being are
dynamic. During this phase, most habits detrimental to health are acquired and
manifest health problems in adulthood, adding an avoidable financial burden to
the health systems. To ensure good health, daily needs must be met by health
promotion, prevention of disease and access to preventive, curative and
rehabilitative services. It is also important to foster healthy behaviour, such
as physical activity, health literacy and support for emotional well-being [6,7].
The development of digital media and
communication technology has increased access to health-related information
through the internet. Today, by returning from the traditional ways of
acquiring health-related information, electronic health information resources
have been transferred via the internet. Health literacy, a concept preceding eHealth
literacy, is shown to be closely associated with health-related factors, such
as health behavior, disease management, and quality of life, infection control
in various studies. In recent years, health literacy has been a center of
attraction on health improvement focus [8,9]. Accordingly, eHealth literacy―the ability to seek, find, understand,
and appraise health information from electronic sources and apply the knowledge
gained for addressing or solving a health problem [10] has been adopted as an integral
part of healthy life activities and general health in the community as well as
adolescents [11,12].
E-health literacy is considered essential for improving healthcare delivery and
quality of care as well [13,14].
Adolescents, who are called the digital
natives of the digital age, use the internet skillfully and widely [15]. The most researched health
information on the internet is about daily health problems [16], physical well-being [17], mental health [16], social problems [18]. All these evidences reveal that
adolescents do not have problems in accessing health-related information, but
they are insufficient to meet their needs for medical care.
Investment on the health of
adolescents in the community means investment the healthy adults of the future.
All these evidences reveal that adolescents do not have problems in accessing
health-related information, but they are insufficient to meet their needs for
medical care. Adolescents should be encouraged to use primary care services.
Recommended clinical preventive health practices for adolescents were
immunizations, screening tests and councelling services. Recommended screenings
for adolescents include measuring height and weight, blood pressure, vision and
hearing, and screening for high cholesterol, anemia and tuberculosis etc. [19]. Considering all of this
evidence, it seems that there is a general belief that adolescents constitute
the healthy segment of society and preventive health care practices are often
disregarded. No previous study has investigated trifurcating joint of eHealth
literacy, health promotion activites and preventive health care practices among
adults.
The aim of the this study was to
determine the predictors of eHealth literacy via health promoting activities
and preventive health practices among Turkish adolescents.
Research questions investigated in
this study were:
1. What is the level of eHealth literacy of adolescents?
2. What is the level of health promotion activities of adolescents?
3. What is the rate of preventive health practices among adolescents?
4. Is there any relationship between eHealth literacy with health promotion activities and preventive health practices of adolescents?
2. Materials and Methods
This cross-sectional study was
conducted with a total of 706 adolescents ranging from 14-19 years of age
between March and May 2022. The participants were recruited from two high
schools chosen by a simple random sampling method among the public high schools
affiliated to Çorum Provincial Directorate Of National Education.
The sample was determined by a random
draw from nine high schools (N=2700) in the Çorum city of, Turkey. Power
analysis was performed according to the results of regression analysis. G-Power
software was used for power analysis, and the sample size was calculated as 337
students based on the following parameters: a power of 80% and a confidence
interval of 95%. Two high schools were determined and criteria for selecting
the adolescents were as follows: Being in the 14-19 age group, using internet,
not having a chronic condition or disability and speaking Turkish.
2.1. Ethical considerations
The study was planned in accordance with the Helsinki Principles and was approved
by the Non-İnterventional Clinical Research Ethics Committee (Date: 10 February
2022, No.47). Written consent was obtained from the parents of the adolescents
and from all students provided verbal consent (respecting the voluntary nature
of participation in the study).
2.2. Data Collection
The data of the study were collected
by applying a group questionnaire with a questionnaire form. In the
questionnaire form, besides the socio-demographic characteristics, preventive
health practices, eHealth Literacy scale Adolescent Health Promotion Scale were
used.
2.3. Measures
2.3.1. Descriptive Information Form
The descriptive information form is
composed of questions about the socio-demographic characteristics of the
adolescents such as age, gender, educational status of parents, place of income
level, health saticfaction, chronic conditions and preferred health service
primarily.
2.3.2. Preventive Health Practices
A short questionnaire with nine
questions was designed to ascertain the adolescents preventive health
practices. The questionnaire was designed to measure the following constructs:
Annual weight measurement, annual blood pressure measurement, annual blood
glucose measurement, annual blood cholesterol measurement, annual hemoglobin
measurement, annual dental examination, annual eye examination, non-smoking
status, non-alcohol use, regular walking for 30 minutes daily. Participants
were asked to respond using a “yes” or “no” answers.
2.3.3. The eHealth Literacy Scale (eHEALS)
The scale was developed by Norman and
Skinner in 2006 to measure individuals’ combined knowledge, comfort, and
perceived skills at finding, evaluating, and applying electronic health
information for health problems [20]. An eight-item scale were a 5-point Likert-type as “1= strongly
disagree, 2= disagree, 3= undecided, 4= agree, 5= strongly agree”. The lowest
score is 8 and the highest score is 40. High scores obtained from the scale
indicate a high level of e-Health literacy. Coefficient alpha (α) in the
original version was 0.88 in the original version. The Turkish version of the
scale was used in this study [21] and cronbach alpha coefficient was found 0.84 in this study.
2.3.4. The Adolescent Health Promotion Scale (AHPS)
The scale which was consisted of 40
items and six sub-scales was developed by Chen et al. [16] to assess the health promotion
behaviors of adolescents. The sub-scales are categorized as life appreciation
(10 items), health responsibility (15 items), exercise (4 items), nutrition
behaviors (3 items), social support (4 items), and stress management (4 items).
The items are rated a Likert type as 1= never, 2= sometimes, 3= usually, 4=
frequently, 5= always in the scale. The subscale scores are summed up within
themselves, and the total scale scores are obtained by the sum of the subscales
(between 40-200 point). Higher scores indicate that healthy lifestyle behaviors
are quite positive [22].
The Turkish validity and reliability studies were conducted by Temel et al. [23] with cronbach alpha was 0.93. In
this study, the coefficient alpha (α) was 0.90.
2.4. Statistical Analysis
Data management and analysis were
performed using SPSS 22.0. The suitability of the data to the normal
distribution was examined with the Kolmogrow Smirnow test. Number, percentage,
mean and standard deviation were used as descriptive analysis. The relationship
between e-health literacy and health promotion behaviors was evaluated by
Pearson correlation analysis. In order to identify predictors of eHealth
literacy multiple regression analysis were used.
Before conducting the regression
analysis, we computed the values for tolerance and variance inflation factor
(VIF) to ensure that no multicollinearity existed in these variables and that
the values met the requirements (tolerance from 0.21 to 0.96, VIF from 1.04 to
1.62 for the model). In addition, multivariate normality and homoscedasticity
were checked. The model was used via the following values: correlation: R =
0.630–0.334, Durbin–Watson: 1.66, Mahal distance = 3.94 and Cook's distance =
0.005–0.013. Significance levels were set at the 5% level (p<0.05).
3. Results
Of the participants, 55.8% of the
adolescents were female and the mean age of the whole group was 16.09±2.63
years (min-max:14-19). Among the adolescents’ parents, 31.4% of mothers and
52.4% of fathers were high school graduates. It was found that 73.5% of them
satisfied with their health and, 88.2% use public health service primarily. The
mean score of eHealth Literacy scale was 29.40±6.29. The mean of the total
scores obtained from the Adolescent Health Promotion Scale was 137.97±21.87 ( Table 1).
Table 2 shows an overview of preventive health practices of adolescents.
It is apparent from this table that
96.0% of the adolescents do not use alcohol and 81% do not smoke. The rate of
those who had their annual weight measured remained at 68.8%. Annual blood
pressure measurement, annual blood iron measurement, annual cholesterol
measurement, annual dental examination and regular exercise rate were below
50%. As seen in this table, Annual eye examination and annual blood glucose
measurement, which are among preventive health practices, were below 25%.
The results of the correlational
analysis are presented in Table 3.
The results, as shown in
Table 3, indicate that There was a significant positive correlation between eHealth literacy and the AHPS (r=0.371; p<0.001). Also, a positive correlation was found between AHPS subscales and eHealth literacy (p<0.001) (
Table 3).
Table 4 provides the results obtained from multiple regression analysis of eHealth literacy.
Multiple linear regression analysis was performed to predict eHealth literacy using the variables of Adolescent Health Promotion and preventive health practices. As a result of the analysis, it was found that a significant regression model (F11,695) p<0.001 and 27% of the variance in the eHealth literacy (R2adjusted:0.27) were explained by the independent variables. Accordingly, eHealth positively and significantly predicts health promotion behaviors (β= 0.27, t (695)= 7.54, p<0.001).
Also, eHealth literacy increased annual weight measurement by more than 0.13 (β=0.13), the annual blood iron measurement by more than 0.16 (β=0.16), annual dental examination by more than 0.11 (β=0.11).
4. Discussion
eHealth literacy combines information and media literacy. It is becoming increasingly important as individuals continue to seek medical advice from a variety of web-based sources, primarily social media. Empirical studies have also found that eHealth literacy positively affects health outcomes in people with chronic disease and [
24,
25]. College students with higher eHealth literacy have been found to be less likely to consume unhealthy foods [
12]. This research article highlights the importance of eHealth literacy among adolescents. The main issues addressed in this article are: a) eHealth literacy level, b) Health promotion activites and c) preventive health practies. Up to now, far too little attention has been paid to these triple topics in worldwide. Most studies in the field of adolescent health have only focused on eHealth literacy and health lifestyle behaviors.
Today, where digitalization is intense, there are more opportunities for adolescent health than in the past. Despite the strong interest in adolescent health globally, it is clear that there are unmet needs. The present study was indicated that eHealth literacy has an significant effect on preventive health practices and health promotion behaviors.
In this study, adolescents' ehealth literacy level was found to be relatively high and acceptable with scores of 29.40±6.29. In a study conducted in China, the eHealth scores of adolescents were found to be above 30 [
26] and in Korean adolescents it was reported 3.59 as item mean [
27]. In addition, a Philippines study found eHealth literacy level (at 32.45) was higher among adolescents [
28]. In a Turkish study, the mean score was 27.5 [
29]. Comparison of the findings with those of other studies confirms that as proficient users of the internet, adolescents have a moderate level of eHealth skills. Therefore, applying effective strategies to improve “adolescent eHealth literacy” is suggested in schools.
Adolescence is like a spectrum of opportunities for acquiring many lifelong health habits. Adolescent health behaviors play an important role in promoting a healthy lifestyle that can have an impact on lifelong health outcomes. The current study found the health promotion behaviors of adolescents was middle level with 137.97±21.87 out of 200. The result was similar to Turkish and Nigerian studies [
30,
31].
The current study found that adolescents had low health responsibility (
Table 1). This outcome is paralel to that of other studies which were found lowest level of health responsibility [
32,
33]. A possible explanation for this is that the adolescents lack pay attention and rational thinking about their health. Therefore, they were less likely to regularly perform health responsibility behaviors such as checking their blood pressure and cholesterol levels regularly, participating in health education courses, and avoiding eating foods laden with preservatives [
34]. This study suggest that, although adolescents have good health promotion activities except health responsibility, they do not feel responsible for promoting their health.
In this study, it was observed that adolescents did not tend to preventive health practices at the expected level, except for not smoking and not using alcohol. Also, although adolescents' health responsibility behaviors were high (
Table 1), they participated in most preventive health practices below 50%. This situation does not coincide with moderate level of health promotion behaviors (
Table 2). These results reflect a poor disease-centered perspective among adolescents. However, these barriers may be appear from parents obstacles because parents health behavior can affect their health responsibility. Parental eHealth literacy, parental active use were all related to adolescent eHealth literacy [
35]. These findings indicate that they need to learn about the more comprehensive perspective of preventive health practices. In this regard, mobile-based applications may be used to improve their knowledge and attitudes about these important issues.
In reviewing the literature, little data was found on the association between preventive health practices of adolescents and health promoting behaviors. Generally, adolescents cared more about the psychosocial aspects of health than the physical dimensions [
36]. As mentioned in the literature, in general, adolescents do not have a healthy lifestyle. Dental check-up [
37,
38], physical activity, diet regime, tobacco and alchol use [
2] were more examined topics among adolescents. Apart from the known protective practices for adolescents, no additional inquiries were made in previous studies. However, In 2019, the World Health Organization (WHO) identified 10 threats to global health, and one of these threats is poor primary health care [
39]. Although the WHO has clear, evidence-based guidance on routine health checkups for young children and older adults [
40], but it is lacking for adolescents. There has been little research on the potential value of comprehensive adolescent health screening in countries with weak health systems and a high burden of disease in adolescents, including high physical health, nutrition, mental health, and behavioral needs. In the United States, recommendations for routine health screening in adolescents have largely focused on primary health care settings with screening oriented toward common mental health and behavioral concerns (e.g., substance use, unprotected sexual activity) as well as growth [
41]. Routine laboratory screening is not universally recommended but is guided by clinical context (e.g., urine testing for chlamydia in sexually active young women or lipid profiles in obese adolescents). In other high-income countries with reasonable access to primary care such as Australia, more opportunistic approaches are currently recommended that encourage psychosocial and behavioral assessment whenever young people present for health care [
42] The challenge now is the lack of an adequately trained health workforce. Adolescent health and medicine is not adequately covered in medicine, nursing and public health training. Adolescent health education should be continued in pre- and post-graduation education, which is the key to the future.
Primary health care is the first step in the health care system, and ideally should provide comprehensive, affordable, community-based care throughout life. Achieving universal coverage in adolescent health may be possible by benefiting from primary health care services. Measurement of biochemical values and monitoring of blood pressure are among the most neglected preventive health practices in adolescents. Adolescents need be screened for physial examination during clinical preventive services visits. For this reason, development of new curricula in adolescent medicine for both undergraduates and postgraduates, with a new compulsory module on adolescent health for postgraduate training in family medicine.
In recent years, there has been an increasing amount of literature on eHealth and its positive correlations with health promoting behaviors [
43]. More recent attention has focused on the provision of effects of high eHealth literacy level on adolescent health promotion such healthy dietary behaviors, exercise regime, sleep habits, vaccinations and COVID-19 related behaviors [
11,
12,
26,
44].
The most obvious finding to emerge from the this study was that eHealth literacy was significantly associated with health promoting behaviors and preventive health practices (
Table 3) and that 27% of the factors affecting health promotion and health practices were explained by the eHealth literacy (
Table 4). Comparison of the findings with those of other studies confirms that higher eHealth literacy engaged better in health-promoting activities [43-46] and eHealth literacy were more likely to have a higher rate of health services utilization among adolescents [
47]. In a Chinese study, eHealth literacy was showed a strong mediator of the association between cognitive social factors (performance expectancy and health motivation) and health-promoting behaviors [
48]. However, there is extensive literature on adolescent sexual and mental health [
49,
50], the literature on physical health checks of adolescents is insufficient. The absence of routine health check-ups during adolescence in low- and middle-income countries is a missed opportunity for prevention, early identification, and treatment of health issues, and health promotion [
51]. Whereas the health and well-being of adolescents are essential for achieving the Sustainable Development Goals (SDGs) and Goal 3 is on good health and well-being [
52]. Changes in adolescence affect the spectrum of diseases and health-related behaviours; they are responsible for the epidemiological transition that takes place during the second decade from infectious diseases to noncommunicable conditions. At the same time, health problems and behaviours that arise during adolescence – chronic illnesses and alcohol use, for example – affect physical and cognitive development. Adolescents’ evolving capacities affect how they think about their health, how they think about the future, and what influences their decisions and actions. All of this has implications for the types of interventions needed and how programmes should be implemented [
53].
5. Conclusions
This study focused on the relationship between eHealth literacy, health promoting behaviors and preventive health practices that are crucial for adolescent health. All these results must be interpreted with caution for adolescents. Adolescents had a moderate eHealth literacy level, and health promotion activities and poor preventive health practices. The results revealed that there is a positive moderate relation between the eHealth literacy and health promotion activities and that as the eHealth literacy of the adolescent increases, the more their healthy lifestyle activities increase. It was identified that the eHealth literacy effects health promotion and preventive health practices of adolescents. The study results showed the health patterns of a sample of Turkish adolescents. Thus, health policymakers are required to design adolescent-centered health websites to improve their decisions on preventive health. On the other hand, improving the eHealth literacy skills of adolescents through parental guidance might enhance their health technology use and preventive health practices. Future research studies should examine the determinants of adolescents' eHealth literacy.
The findings of this study have a number of important implications for future practice. Health promoting activities emerged as a primary concern along with preventive health practices. Developing eHealth literacy interventions will be important for environments with a high concentration of adolescents (schools, courses). To draw a full picture of relations on eHealth literacy and adolescent health, additional studies will be needed. Restructuring of primary health services in a way that encourages adolescents may be recommended. Primary health care services should be entegrated with SDGs. In public health policies classroom-based health education and digital literacy programs should emphasize to change adolescents health behaviors.
The generalisability of these results is subject to certain limitations. The scope of this study was limited in terms of urban high schools. The recruitment occurred through two high schools in the city center. Lastly, preventive health practices of adolescents were evaluated in line with their own statements.
Institutional Review Board Statement
Hitit University of Ethical Committee; approval number:
2022-217.
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Table 1.
Demographics and characteristics of the sample (N = 706).
Table 1.
Demographics and characteristics of the sample (N = 706).
| Variables |
n (%) |
Mean±SD |
| Age |
|
16.09±2.63 |
| Gender |
|
|
| Female |
394 (55.8) |
|
| Male |
312 (44.2) |
|
| Place of residence |
|
|
| Urban |
595 (84.3) |
|
| Rural |
111 (15.7) |
|
| Mother education |
|
|
| <High school |
484 (68.6) |
|
| ≥ High school |
222 (31.4) |
|
| Father education |
|
|
| <High school |
336 (47.6) |
|
| ≥ High school |
370 (52.4) |
|
| Income level |
|
|
| High |
329 (46.6) |
|
| Low |
377 (53.4) |
|
| Health satisfaction |
|
|
| Satisfied |
519 (73.5) |
|
| Non-satisfied |
187 (26.5) |
|
| Preferred health service primarily |
|
|
| Public |
623 (88.2) |
|
| Private |
83 (11.8) |
|
| eHealth literacy |
Min-max:8-40 |
29.40±6.29 |
| Health Promotion |
Min-max:40-200 |
137.97±21.87 |
| Life appreciation |
Min-max:10-50 |
35.70±6.73 |
| Health responsibility |
Min-max:15-75 |
52.72±8.76 |
| Exercising |
Min-max:4-20 |
12.07±4.30 |
| Nutritional |
Min-max:3-15 |
10.52±2.59 |
| Stress |
Min-max:3-15 |
10.05±2.86 |
| Social support |
Min-max: 4-20 |
13.65±3.43 |
Table 2.
Preventive health practices of adolescents (N=706).
Table 2.
Preventive health practices of adolescents (N=706).
| Variables |
n (%) |
| None-alcohol users |
642 (96.0) |
| None-smokers |
572 (81.0) |
| Annual weight measurement |
486 (68.8) |
| Annual blood iron measurement |
342 (48.4) |
| Annual blood pressure measurement |
339 (48.0) |
| Annual dental check-up |
325 (46.0) |
| Exercise regularly (30 min/d) |
302 (42.8) |
| Annual blood cholesterol measurement |
234 (33.1) |
| Annual eye check-up |
170 (24.0) |
| Annual blood-glucose measurement |
150 (21.2) |
Table 3.
The relationship between eHealth literacy and adolescent health promotion scales scores.
Table 3.
The relationship between eHealth literacy and adolescent health promotion scales scores.
| |
1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
| eHealth literacy |
1.0* |
|
|
|
|
|
|
|
| Adolescent Health Promotion Total Scale |
0.371 |
1 |
|
|
|
|
|
|
| Life appreciation |
0.317 |
|
1 |
|
|
|
|
|
| Health responsibility |
0.351 |
|
|
1 |
|
|
|
|
| Exercise |
0.201 |
|
|
|
1 |
|
|
|
| Nutrition behaviors |
0.122 |
|
|
|
|
1 |
|
|
| Stress management |
0.226 |
|
|
|
|
|
1 |
|
| Social support |
0.229 |
|
|
|
|
|
|
1 |
Table 4.
The effect of eHealth literacy on health promotion and preventive health practices.
Table 4.
The effect of eHealth literacy on health promotion and preventive health practices.
| Model 1 |
B |
β |
t |
p |
| Adolescent Health Promotion |
0.01 |
0.27 |
7.54 |
<0.001 |
| Annual Weight Measurement |
0.15 |
0.13 |
3.55 |
<0.001 |
| Annual Blood Pressure Measurement |
-0.08 |
-0.09 |
0.83 |
0.41 |
| Annual Blood Cholesterol Measurement |
-0.04 |
-0.04 |
1.09 |
0.27 |
| Annual Dental Examination |
0.10 |
0.11 |
2.76 |
<0.01 |
| Annual Blood Iron Measurement |
0.04 |
0.16 |
1.13 |
0.26 |
| Annual Blood Glucose Measurement |
−0.99 |
−0.19 |
3.52 |
<0.001 |
| Annual Eye Examination |
0.07 |
0.08 |
0.71 |
0.48 |
| Exercise Regularly (30 Min/D) |
-0.01 |
-0.01 |
0.24 |
0.98 |
| Non-Smokers |
-0.08 |
-0.09 |
2.16 |
0.03 |
| Non-Alcohol Users |
-0.12 |
-0.11 |
2.69 |
<0.01 |
| R |
0.526 |
|
|
|
| R2 |
0.27 |
|
|
|
| DW |
1.66 |
|
|
|
| F |
10.565 |
|
|
|
| p |
<0.001 |
|
|
|
|
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