Abstract
Objectives
Excessive Internet use is a health concern among higher education students leading to reduced academic performance and problems in everyday life. This study aimed to explore the relationship between health and problems of studying and daily rhythm caused by time spent online among students (n=3,050).
Methods
A cross-sectional survey was carried out. The data were analyzed using descriptive and chi-square tests and logistic regression analyses.
Results
Findings indicated that one fifth of students reported having problems of studying and daily rhythm caused by time spent online. Psychological health symptoms such as anxiety (p<0.001) and physical health symptoms including lower back problems (p<0.001) were associated with these problems. According to the logistic regression analyses, problems of studying and daily rhythm caused by time spent online and higher amount of Internet use by time were associated with psychological and physical health symptoms.
Conclusions
The findings suggest that problems of studying and daily rhythm and spending more time online are related to health symptoms among the students. The study’s findings can be used from a prevention standpoint for early identification and further to identify the need for seeking professional treatment.
Introduction
The Internet can be considered as a digital environment where higher education (HE) students search and share information in their academic studies [1]. Besides its use in studying, the Internet is used for activities related to occupational tasks, completing errands, communicating, leisure time, and social networking, among other uses [2], [3], [4]. Before the global COVID-19 outbreak in the year 2020, HE students spent an average of four to 5 h online daily, although the total amount of time varied largely [5, 6]. The majority of this time was used for information seeking and in social networking using smartphones and tablets [7], [8], [9]. Concurrently, the rates for HE students’ excessive Internet use has increased, causing online activities to turn compulsive and interfering with normal activities of daily living and studying [7, 10], [11], [12], [13], such as rejection of daily chores; disruption of basic human needs like sleeping, eating, or resting; and disruptions in social relationships [13]. Also, excessive Internet use has been found to be associated with study motivation and academic performance by impacting the cognitive skills needed to be able to study [7].The epidemiology of excessive Internet use has been ambiguous [14]. Health-affecting excessive use is referred to in the literature as problematic, pathological, or addictive use of the Internet, and there are many alternative expressions due to various ways of measuring the phenomenon [14]. Comprehensive evidence on the concept and the criteria of excessive Internet use can be found in the literature [14].
Different models exist to explain the excessive use of the Internet, such as the cognitive-behavioral model of pathological use of the Internet developed by Davis (2001) and the socio-cognitive model of unregulated Internet usage developed by LaRose, Lin, and Eastin (2003) [15, 16]. The cognitive-behavioral model of pathological use of the Internet suggests that individuals who suffer from psychosocial problems are more likely to develop problems in their Internet usage. The model views pathological use of the Internet as a result of maladaptive cognition about the self and the world, along with the behaviors that increase and reinforce them [15]. In the socio-cognitive model of unregulated Internet usage, the focus is on self-regulation. The model suggests that problems in Internet use are a result of poor self-regulation where individual control, judgement, and adjustment of behavior are lacking [16].
Recent studies suggest that 4–22% of HE students experience problems in their Internet use. The wide range can be explained by the differences in assessment tools as well as with different conceptualizations that have been exploited [4, 13], [14], [15]. Among HE students, excessive Internet use have been found to be prevalent among both women and men, and younger students have demonstrated higher rates of excessive use compared to older students [2, 5]. Also, online behaviors such as excessive gaming, gambling, adult entertainment, shopping online, web surfing, and social networking have been linked to excessive use of the Internet among students [10, 13]. These behaviors may result in health problems, including psychological health symptoms and disorders (cluster of symptoms), such as depression, anxiety, stress, eating disorders, fear of missing out (FOMO), social isolation, loneliness, and increased suicide risk [15], [16], [17], [18], as well as physical health symptoms, such as headaches, fatigue, dizziness, weight gain, musculoskeletal symptoms, and upper extremity and neck symptoms [2, 17, 18]. Also, it has been underlined that within psychological health symptoms, the relationship with excessive Internet use may be reciprocal and bidirectional [12]. On the other hand, it is noteworthy to recall that the Internet is also used to prevent and treat the above-mentioned health issues [14, 19]. For example, medical and psychological consultation and psychotherapy are also obtainable online [14, 20]. There are also Internet-delivered health interventions for anxiety and depression disorders, diet and physical activity, disease management, and chronic pain [19].
This study contributes to the existing literature by examining whether self-reported problems of studying and daily rhythm caused by time spent online are related to psychological and physical health symptoms among HE students. Although there has been research on excessive Internet use within the last decade [14], more studies are needed regarding psychological and physical health, which are deeply intertwined and may even lead to chronic conditions [21]. Nevertheless, exploring the above-mentioned association in the context of studying and daily life, enables to identify to role of time spent online among HE students.
Materials and methods
Aim of the study
This study was conducted to examine whether self-reported problems of studying and daily rhythm caused by time spent online are related to psychological and physical health symptoms among higher education (HE) students.
The research questions (RQ) are:
RQ 1: Is there an association between HE student problems of studying and daily rhythm caused by time spent online and a) psychological health symptoms and/or b) physical health symptoms?
RQ 2: Are problems of studying and daily rhythm caused by time spent online, time spent on the Internet, age, and gender associated with psychological health symptoms among HE students?
RQ 3: Are problems of studying and daily rhythm caused by time spent online, time spent on the Internet, age, and gender associated with physical health symptoms among HE students?
Research design and sample
This cross-sectional survey study was carried out among Finnish HE students in the spring of 2016. The study was a national survey titled “The University Students’ Health Survey,” conducted with HE students every four years since the year 2000. A stratified sampling technique was used to select the participants for the study. The sample included 10,000 undergraduate students under the age of 35 years studying in universities (UNI) or universities of applied sciences (UAS). Participation in the study was voluntary. The study was approved by the Ethics Committee of the University of Turku (35/2015) [22].
Research instrument and data collection
The survey instrument was designed to track HE students’ self-reported health. National health guidelines and reports in the scientific literature were utilized in developing the measurements for the instrument [22]. The instrument included several themes related to HE student health. In this study, the survey themes of “problems of studying and daily rhythm caused by time spent online” “time spent on the Internet,” “psychological health symptoms,” and “physical health symptoms” were selected and further examined. In addition, a screening tool for eating disorders, SCOFF, by Morgan et al. [22], was used as a separate instrument as part of the “psychological health symptoms” theme. The survey questions used in this study are presented in Supplementary Table 1. The data were collected through electronic questionnaires in Finnish and Swedish, with an option to answer either electronically or by postal mail. Of the students, 2,697 responded electronically and 417 with paper surveys through the mail. The final response rate was 31%. The research data are openly available by permission in the Finnish Social Science Data Archive [22].
Data analysis
The data were analyzed using descriptive statistics, chi-square tests, and logistic regression analyses. First, percentages, cross-tabulation, and chi-square tests were performed to investigate the relationship between the variables of problems of studying and daily rhythm caused by time spent online and psychological and physical health symptoms. Second, binary logistic regression analyses were used to evaluate variables of Internet use by time spent, problems of studying and daily rhythm caused by time spent online, age, and gender to further examine and identify associated factors of psychological and physical health symptoms. Backward stepwise selection starting with all the predictors was carried out to find out the best fit for the model and the variables that predict the health symptoms. Statistical significance was set at p<0.05. The data were analyzed using the statistical software Statistical Package for Social Sciences (SPSS), version 27.0 [23].
For the logistic regression analyses, the variables of problems of studying and daily rhythm caused by time spent online were combined as “problems of studying and daily rhythm” Internet use by time spent was probed in the questionnaire as usage a) for studies and work and b) for other purposes, and the total use was combined as “Internet use by time spent.” In addition, the variables of psychological and physical health symptoms were computed dichotomously: “no” represents the answer “not at all,” while “yes” represents the answers “every now and then,” “weekly,” and “daily or almost daily.” For the logistic regression analysis, the symptom variables were combined as “psychological symptoms” (coding: 0=no symptoms, 1=yes for symptoms) and “physical symptoms” (coding: 0=no symptoms, 1=yes for symptoms). As part of “psychological symptoms,” variables of “depression or feeling low,” “anxiety,” “tension or nervousness,” “problems in falling asleep or waking up often at night,” and “difficulty to concentrate” were combined to represent the symptoms. As a theoretical background for psychological symptom aggregation, people with one type of psychological symptom, such as depression and anxiety, usually also experience the other, as the symptoms may have similar etiology [24]. As for “physical symptoms,” variables of “headache,” “dizziness,” “tiredness/fatigue or loss of strength,” “heart murmur, uneven heartbeat,” “upper back or neck problems,” “lower back problems,” “pain in limbs or joints,” and “skin problems” were combined. The combination was performed since the variables representing general physical health indicators can be a combination of others, ranging from mild to severe or acute to chronic. Nonetheless, these parameters indicate the need for comprehensive investigation when experienced [2, 18].
Results
Background information of study participants
In total, 3,050 HE students completed the survey. Problems of studying caused by time spent online were reported among 23% of HE students, and 21% reported problems of daily rhythm. Moreover, male students had more problems of studying caused by time spent online (p<0.011) and of daily rhythm (p<0.001), compared to female students (Table 1).
Background information of study participants.
| Variables | The time spent online causes problems to studying | The time spent online causes problems to daily rhythm | |||||
|---|---|---|---|---|---|---|---|
| Demographics | Yes, % (n) | No, % (n) | p | Yes, % (n) | No, % (n) | p | |
| Gender | Total % (n) | <0.011 | <0.001 | ||||
| Female | 65% (1979) | 21% (417) | 79% (1,559) | 17% (344) | 83% (1,624) | ||
| Male | 35% (1,063) | 25% (266) | 75% (791) | 27% (290) | 73% (768) | ||
| Total | 100% (3,042) | 23% (683) | 77% (2,350) | 21% (634) | 79% (2,392) | ||
| Age | Total % (n) | ns. | ns. | ||||
| <22 | 27% (767) | 24% (184) | 76% (580) | 21% (163) | 79% (601) | ||
| 22–24 | 36% (1,021) | 23% (238) | 77% (782) | 24% (243) | 76% (774) | ||
| 25–29 | 28% (815) | 26% (210) | 74% (603) | 22% (177) | 78% (633) | ||
| 30–34 | 9% (256) | 21% (54) | 79% (201) | 21% (53) | 78% (197) | ||
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p, Pearson’s χ2 test between the groups; ns., nonsignificant; p>0.05.
Problems of studying caused by time spent online and health symptoms
Findings indicate that 33% of students who had difficulty in concentrating reported having problems of studying caused by time spent online (p<0.001). Gender differences existed, with 40% of male students and 29% female students reporting difficulty in concentrating. Furthermore, these problems were reported by 33% of students who were at risk for eating disorders (p<0.001) and 32% of students who reported anxiety (p<0.001) or depression or feeling low (p<0.001) (Table 2).
Associations between health symptoms and problems of studying caused by time spent online.
| Variables | Problems of studying caused by time spent online | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| All | Female students | Male students | |||||||
| Health symptoms | Yes, % (n) | No, % (n) | p | Yes, % (n) | No, % (n) | p | Yes, % (n) | No, % (n) | p |
| Psychological symptoms | |||||||||
| Problems in falling asleep, or waking up often at night | 26 (299) | 72 (1,216) | <0.001 | 26 (299) | 74 (851) | <0.001 | 32 (169) | 68 (365) | <0.001 |
| Difficulty to concentrate | 33 (519) | 67 (1,066) | <0.001 | 29 (324) | 71 (774) | <0.001 | 40 (195) | 60 (292) | <0.001 |
| Tension or nervousness | 30 (514) | 70 (1,221) | <0.001 | 27 (330) | 73 (876) | <0.001 | 35 (184) | 65 (345) | <0.001 |
| Depression or feeling low | 32 (433) | 68 (939) | <0.001 | 28 (265) | 72 (665) | <0.001 | 38 (168) | 62 (274) | <0.001 |
| Anxiety | 32 (429) | 68 (908) | <0.001 | 29 (269) | 71 (666) | <0.001 | 40 (160) | 60 (242) | <0.001 |
| Risk for eating disorder, the SCOFF instrument | 33 (99) | 67 (199) | <0.001 | 33 (87) | 67 (177) | <0.001 | 35 (12) | 65 (22) | ns. |
| Physical symptoms | |||||||||
| Headache | 26 (534) | 74 (1,558) | <0.001 | 24 (354) | 76 (1,120) | <0.001 | 29 (180) | 71 (438) | <0.006 |
| Dizziness | 28 (297) | 72 (775) | <0.002 | 26 (217) | 74 (609) | <0.002 | 32 (80) | 68 (166) | <0.039 |
| Tiredness/fatigue or loss of strength | 26 (632) | 74 (1800) | <0.001 | 24 (397) | 76 (1,264) | <0.001 | 30 (235) | 70 (536) | <0.001 |
| Heart murmur, uneven heartbeat | 30 (231) | 70 (538) | <0.001 | 29 (166) | 71 (410) | <0.001 | 34 (65) | 66 (128) | <0.037 |
| Upper back or neck problems | 26 (491) | 74 (1,402) | <0.001 | 24 (329) | 76 (1,065) | <0.002 | 32 (162) | 68 (337) | <0.001 |
| Lower back problems | 27 (371) | 73 (1,006) | <0.001 | 25 (241) | 75 (725) | <0.012 | 31 (130) | 68 (281) | <0.003 |
| Pain in limbs or joints | 27 (258) | 73 (717) | ns. | 25 (162) | 75 (497) | ns. | 30 (96) | 70 (220) | ns. |
| Skin problems | 28 (373) | 72 (977) | <0.001 | 27 (261) | 73 (725) | <0.001 | 30 (112) | 69 (252) | <0.048 |
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p, Pearson’s χ2 test between the ‘yes’ and ‘no’ answers; ns., nonsignificant; p>0.05.
Problems of daily rhythm caused by time spent online and health symptoms
Among students who experienced depression or feeling low, 31% reported having problems of daily rhythm caused by time spent online (p<0.001). Additionally, 31% of students with anxiety also reported having these problems of daily rhythm (p<0.001). Between the genders, 41% of male students (p<0.001) and 26% of female students (p<0.001) with anxiety reported problems (Table 3).
Associations between health symptoms and problems of daily rhythm caused by time spent online.
| Variables | Problems of daily rhythm caused by time spent online | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| All | Female students | Male students | |||||||
| Health symptoms | Yes, % (n) | No, % (n) | p | Yes, % (n) | No, % (n) | p | Yes, % (n) | No, % (n) | p |
| Psychological symptoms | |||||||||
| Problems in falling asleep, or waking up often at night | 27 (460) | 73 (1,221) | <0.001 | 23 (266) | 77 (883) | <0.001 | 36 (194) | 64 (338) | <0.001 |
| Difficulty to concentrate | 28 (449) | 72 (1,134) | <0.001 | 24 (268) | 76 (828) | <0.001 | 37 (181) | 63 (306) | <0.001 |
| Tension or nervousness | 27 (460) | 73 (1,270) | <0.001 | 23 (276) | 77 (926) | <0.001 | 35 (184) | 65 (344) | <0.001 |
| Depression or feeling low | 31 (420) | 69 (949) | <0.001 | 26 (244) | 74 (684) | <0.001 | 40 (176) | 60 (265) | <0.001 |
| Anxiety | 31 (408) | 69 (928) | <0.001 | 26 (243) | 74 (690) | <0.001 | 41 (165) | 59 (238) | <0.001 |
| Risk for eating disorder, the SCOFF instrument | 28 (85) | 72 (214) | <0.001 | 28% (73) | 72 (190) | <0.001 | 33 (12) | 67 (24) | ns. |
| Physical symptoms | |||||||||
| Headache | 23 (475) | 77 (1,613) | <0.013 | 20 (292) | 80 (1,178) | <0.001 | 30 (183) | 70 (435) | ns. |
| Dizziness | 24 (252) | 76 (817) | ns. | 21 (176) | 79(645) | <0.012 | 31 (76) | 69 (172) | ns. |
| Tiredness/fatigue or loss of strength | 24 (577) | 76 (1,854) | <0.001 | 20 (328) | 80 (1,332) | <0.001 | 32 (249) | 68 (522) | <0.001 |
| Heart murmur, uneven heartbeat | 27 (209) | 72 (557) | <0.001 | 2 (142) | 75 (432) | <0.001 | 35 (67) | 65 (125) | ns. |
| Upper back or neck problems | 23 (430) | 77 (1,464) | ns. | 20 (281) | 80 (1,111) | <0.001 | 30 (149) | 70 (353) | ns. |
| Lower back problems | 25 (348) | 75 (1,023) | <0.001 | 22 (211) | 78 (750) | <0.001 | 33 (137) | 67 (273) | <0.013 |
| Pain in limbs or joints | 26 (252) | 74 (723) | <0.006 | 23 (148) | 77 (509) | <0.006 | 33 (104) | 67 (214) | ns. |
| Skin problems | 26 (347) | 74 (1,000) | <0.001 | 22 (219) | 78 (765) | <0.001 | 35 (128) | 65 (235) | <0.003 |
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p, Pearson’s χ2 test between the ‘yes’ and ‘no’ answers; ns., nonsignificant; p>0.05.
The association between problems of studying and daily rhythm caused by time spent online and health symptoms
Three models—psychological health symptoms, at risk for eating disorder, and physical health symptoms—were indicated with logistic regression analysis of the association between problems of studying and daily rhythm and health symptoms, with demographic variables. In the first model, factors of age (odds ratio [OR]=1.051; 95% confidence interval [CI]=1.017–1.087), higher amount of Internet use by time (OR=1.008; 95% CI 1.003–1.013), gender (OR=0.389; 95% CI=0.310–0.488), and problems of studying and daily rhythm (OR=0.327; 95% CI=0.249–0.429) were associated with psychological health symptoms. Within the gender variable, the odds for females to have psychological health symptoms was 0.389 times that of males. The second model indicated that problems of studying and daily rhythm (OR=0.487; 95% CI=0.376–0.630) and gender (OR=0.185; 95% CI=0.126–0.273) were associated with a risk for eating disorder. The odds for females to have a risk for eating disorder was 0.185 times that of males. According to the third model, factors of age (OR=1.111; 95% CI=1.016–1.216), higher amount of Internet use by time (OR=1.022; 95% CI=1.006–1.038), problems of studying and daily rhythm (OR=0.286; 95% CI=0.138–0.596), and gender (OR=0.083; 95% CI=0.041–0.168) were associated with physical health symptoms. The odds for females to have physical health symptoms was 0.083 times that of males. In the above-mentioned models, no interaction terms were observed between age and problems of studying and daily rhythm or age and Internet use by time, and between gender and problems of studying and daily rhythm or gender and Internet use by time (Table 4).
Logistic regression analysis on the association between problems of studying and daily rhythm, time spent on the Internet and health symptoms with demographic variables.
| Models | B | SE B | Wald x2 | df | p | OR>1 (pos. B) OR<1 (neg. B) (95% CL for OR, lower–upper) |
|---|---|---|---|---|---|---|
| Model: Physiological health symptoms | ||||||
| Problems of studying and daily rhythm | −1.118 | 0.138 | 65.486 | 1 | <0.001 | 0.327 (0.249–0.429) |
| Time spent on the Internet | 0.008 | 0.003 | 9.914 | 1 | 0.002 | 1.008 (1.003–1.013) |
| Gender | −0.943 | 0.116 | 66.539 | 1 | <0.001 | 0.389 (0.310–0.488) |
| Age | 0.50 | 0.017 | 8.571 | 1 | 0.003 | 1.051 (1.017–1.087) |
| Constant | 0.834 | 0.415 | 4.042 | 1 | 0.044 | 2.302 |
| Hosmer–Lemeshow test of goodness-of-fit (p=0.218, for x2=10,725, df=8), Cox & Snell R square (R2=0.058), Nagelkerke R square (R2=0.099) | ||||||
| Model: A risk for eating disorder | ||||||
| Problems of studying and daily rhythm | −0.720 | 0.132 | 29.871 | 1 | <0.001 | 0.487 (0.376–0.630) |
| Gender | −1.685 | 0.197 | 72.956 | 1 | <0.001 | 0.185 (0.126–0.273) |
| Age | 0.008 | 0.019 | 0.186 | 1 | 0.666 | 1.008 (0.971–1.046) |
| Constant | −1.915 | 0.458 | 17.516 | 1 | <0.001 | 0.147 |
| Hosmer–Lemeshow test of goodness-of-fit (p=0.535 for x2=7,011, df=8), Cox & Snell R square (R2=0.045), Nagelkerke R square (R2=0.093) | ||||||
| Model: Physical health symptoms | ||||||
| Problems of studying and daily rhythm | −1.251 | 0.374 | 11.171 | 1 | 0.001 | 0.286 (0.138–0.596) |
| Time spent on the Internet | 0.022 | 0.008 | 7.297 | 1 | 0.007 | 1.022 (1.006–1.038) |
| Gender | −2.484 | 0.359 | 47.959 | 1 | <0.001 | 0.083 (0.041–0.168) |
| Age | 0.106 | 0.046 | 5.308 | 1 | 0.021 | 1.111 (1.016–1.216) |
| Constant | 2.396 | 1.115 | 4.620 | 1 | 0.032 | 10.981 |
| Hosmer–Lemeshow test of goodness-of-fit (p=0.862, for x2=3,494, df=8), Cox & Snell R square (R2=0.035), Nagelkerke R square (R2=0.176) | ||||||
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B, coefficient for the constant (‘intercept’) in the null model; SE B for the standard deviation to a mean; Wald x2 test for the individual predictor variable; OR, odds ratio; CI, confidence interval.
Discussion
This study highlights that self-reported problems of studying and daily rhythm caused by time spent online, higher amount of Internet use by time spent, older age, and female gender were associated with psychological health symptoms among HE students. Currently during the COVID-19 pandemic, increased use of the Internet has increased the likelihood for developing excessive Internet use patterns. This has especially been identified in individuals with pre-existing mental health conditions [25], [26], [27]. It is worth noting that when examining mental health conditions, the female gender is more prone to experience psychological symptoms of depression, anxiety, eating, or somatoform disorders, while males tend more towards substance use and antisocial disorders [28]. In the previous literature, relationships between various psychological symptoms and excessive use of the Internet, including daily longtime use of the Internet, have been found among both genders [14]. Psychological symptoms associated with excessive use of the Internet have varied with respondent age, due to different online activities among people of different ages [29]. Psychological withdrawal symptoms, such as depression and anxiety, have especially been associated with online activities of shopping, gambling, and gaming [14, 15]. It is a necessity to keep all online behaviors (for example, continuous viewing of social media, e-mail, or the news) at reasonable and controlled levels to avoid negative effects on psychological well-being [27]. Also, the HE institutions are in a key position to spread information on excessive Internet use by encouraging students to make reasonable use of the Internet from the perspective of benefits to study motivation and academic performance [7]. In Finland, HE students’ study ability, including personal resources, study skills, study environment, teaching, and promotion of health, is examined by the Finnish Student Health Service (FSHS), a national student health service for UNI and UAS students. The FSHS does preventive work through health checks and electronic questionnaires where multiple health- and study ability-related habits are screened for early detection of health concerns in student health care [30]. The health checks and questionnaires offer an opportunity to recognize excessive or problematic use of the Internet. Among the students, identified problems on Internet use are related to online problem gambling, and a need to take this account in student health care in areas of health promotion and clinical care has been recognized. Online problem gambling could be approached, for example, as one of the factors influencing psychic, physical, and social problems [31]. HE students’ health and study ability and the well-being of study communities are also promoted in Finland from the HE institution perspective, with the help of many multidisciplinary actors, services, and projects [32, 33].
The results from the current study indicate that gender affects self-reporting of problems of studying and daily rhythm caused by time spent online. Compared to females, males with these problems reported having more symptoms of anxiety, depression, or feeling low. Within both genders, associations between diverse psychological health symptoms and problems of studying and daily rhythm caused by time spent online were found. Many studies have associated male gender as a risk factor for excessive use of the Internet, specifically online activity of gaming and cybersexual activities, even though research indicates that females are as vulnerable to excessive use as are males [14, 29]. Furthermore, as this study demonstrated a relationship between HE students’ psychological health symptoms and problems of studying and daily rhythm caused by time spent online, more studies that include online activity measures for further assessment of this relationship are needed for clarification.
According to Kimberly Young, who first introduced the concept of Internet addiction in 1998, excessive use of the Internet may result in changes of physical well-being, resulting from behaviors such as failure to eat for long periods, increase in sedentary lifestyle, and problems with sleeping [15, 34]. In the 25 years since then, an accumulating body of research has confirmed HE students’ excessive use of the Internet to be associated with many physical symptoms such as headaches and neck symptoms [2, 17]. Results from this study indicated that problems of studying and daily rhythm caused by time spent online, a higher amount of Internet use by time, and female gender were associated with physical symptoms among HE students. These results from the current study agree with previous findings, although physical symptoms are common among both genders [2]. In addition, HE students in general are known to have a high prevalence of physical complaints, of which some could be from studying in a seated position [22]. Examining the effect of prolonged sitting on students’ physical symptoms is noteworthy, since prolonged sitting is considered one of the health risks for multiple chronic conditions, obesity, and diabetes as well as stress, anxiety, and depression [2, 18]. Physical symptoms that are a consequence of excessive Internet use might be more noticeable and therefore may help to identify additional problems with HE student Internet use.
According to the results of this study, 23% of students reported having problems of studying and 21% of problems with daily rhythm due to their time spent on the Internet. Fortunately, comprehensive prevention strategies and professional treatments exist to address HE students’ Internet use-related problems [14]. These difficulties can be approached in various ways, for instance, from the perspective of psychological dependency, patterns related to cognition and behaviors, or as a clinical disorder or disease [14, 15, 18, 20]. Primary steps for individuals, including HE students, involve self-regulation with self-monitoring and commitment to limited Internet usage with a behavioral perspective [20]. In addition, motivational interviewing by mental health professionals, cognitive therapy, virtual reality therapy, and psychotropic medications can be used to treat psychological symptoms associated with excessive and/or addictive use of the Internet [14, 18]. In contrast, it is also possible to use the Internet from a “healthy” point of view. According to Davis (2001), who developed the cognitive-behavioral model of pathological use of the Internet, as introduced in the Introduction, healthy Internet use refers to using the Internet for a purpose and for a reasonable amount of time, without cognitive or behavioral discomfort, and the ability to separate Internet communication from real-life communication by employing the Internet as a helpful tool, rather than a source of identity [15]. In addition, as the Internet is also used for communication, its possibilities to function as an environment or as a social community could be considered in future studies from the social health perspective, as only a small number of studies have explored this perspective [35]. Nevertheless, since Internet use is currently an integral element of the HE student environment in studying and in daily life, both positive and negative aspects are important to consider. Also, the popularity of answering the survey of this study electronically instead of by postal mail demonstrates that students are living in a technological era with Internet connectivity and behavior [7].
As a limitation to this study, the methodology deployed self-reported questionnaires for data collection. Further, using qualitative or mixed methods could have provided more depth. Comparison to previous data collected with the same instrument was not possible due to the addition of new questions on problems of studying and daily rhythm caused by time spent online. The association between problems of studying and daily rhythm, higher amount of Internet use, and health symptoms should be interpreted with caution, as an external cause, such as substance use, might result in the phenomena mentioned. Moreover, the influences can be bidirectional. Finally, since this study comprised a cohort of only Finnish HE students, the generalizability of the results in another geographical context is limited. Also, the COVID-19 pandemic has changed Internet use prevalence worldwide since this survey was conducted. When looking at the survey’s low response rate (31% for the study), it is good to be aware that the behavior of those who did not respond to the survey may be different from those who responded. Information about the representativeness of the data in general is available from the University Student Health Survey report [22]. Regardless of these limitations, this study provides important evidence regarding HE students’ problems of studying and daily rhythm caused by time spent online and related health symptoms.
Conclusions
One fifth of students in the current study reported having problems of studying and daily rhythm due to their time spent on the Internet. These problems and spending more time online were associated with psychological and physical health symptoms among HE students. The findings can be used from a prevention standpoint regarding early identification and further in regard to the need for seeking professional treatment. The findings can be utilized in health promotion projects targeted to groups of HE students with potential excessive use of the Internet. Also, the HE institutions are in a key position in spreading information on the risks of excessive Internet use.
Funding source: University of Eastern Finland’s Doctoral School
Acknowledgments
We thank Statistician, Docent, PhD Matti Estola from the University of Eastern Finland for statistical support.
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Research funding: This work was supported by the University of Eastern Finland’s Doctoral School in the Doctoral Programme in Health Sciences and the Department of Nursing Science.
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Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Competing interests: Authors state no conflict of interest.
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Informed consent: Informed consent was obtained from all individuals included in this study.
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Ethical approval: The research was approved by the Ethics Committee of the University of Turku (35/2015).
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Supplementary Material
The online version of this article offers supplementary material (https://doi.org/10.1515/ijamh-2022-0109).
© 2023 the author(s), published by De Gruyter, Berlin/Boston
This work is licensed under the Creative Commons Attribution 4.0 International License.
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Artikel in diesem Heft
- Frontmatter
- Reviews
- Adolescent medicine training in postgraduate family medicine education: a scoping review
- How are young people’s mental health related to their sexual health and substance use? A systematic review of UK literature
- School-Based meditation in adolescents: an integrative literature review
- Development and psychometric properties of the HBM-based substance abuse prevention questionnaire (HBM-SAPQA) among Afghanian students
- Original Articles
- The state of adolescent medicine as a specific field: an international exploratory survey
- Unpacking the mysteries of puberty among school going adolescents in district of East Khasi Hills, Meghalaya
- COVID-19 anxiety and quality of life among adolescent pregnant women: a cross-sectional study
- Relationship between spiritual well-being and spiritual intelligence with mental health in students
- Analysis of factors related to the resilience of street children in Surabaya City, Indonesia
- Impact of COVID-19 on dietary intake, sleeping patterns and physical activity levels among Malaysian University students
- Internet, studying and daily rhythm: health symptoms among higher education students
- Short Communication
- Enhancing retention in care in HIV-infected adolescents during COVID-19 in Mozambique: results from the DREAM program