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Erschienen in: BMC Public Health 1/2017

Open Access 01.12.2017 | Research article

A study on the influence of internet addiction and online interpersonal influences on health-related quality of life in young Vietnamese

verfasst von: Bach Xuan Tran, Le Thi Huong, Nguyen Duc Hinh, Long Hoang Nguyen, Bao Nguyen Le, Vuong Minh Nong, Vu Thi Minh Thuc, Tran Dinh Tho, Carl Latkin, Melvyn WB Zhang, Roger CM Ho

Erschienen in: BMC Public Health | Ausgabe 1/2017

Abstract

Background

Internet addiction (IA) is a common problem found in young Asians. This study aimed to study the influence of IA and online activities on health-related quality of life (HRQOL) in young Vietnamese. This study also compared the frequencies of anxiety, depression and other addiction of young Vietnamese with and without IA.

Methods

This study recruited 566 young Vietnamese (56.7% female, 43.3% male) ranging from 15 to 25 years of age via the respondent-driven sampling technique. Chi-squared, t-test and analysis of variance were used to compare young Vietnamese with and without IA. Regression analyses were used to examine the association between internet usage characteristics and HRQOL.

Results

Results from this cross-sectional study showed that 21.2% of participants suffered from IA. Online relationship demonstrated significantly higher influences on behaviors and lifestyles in participants with IA than those without IA. Participants with IA were more likely to have problems with self-care, difficulty in performing daily routine, suffer from pain and discomfort, anxiety and depression. Contrary to previous studies, we found that there were no differences in gender, sociodemographic, the number of participants with cigarette smoking, water-pipe smoking and alcohol dependence between the IA and non-IA groups. IA was significantly associated with poor HRQOL in young Vietnamese.

Conclusion

IA is a common problem among young Vietnamese and the prevalence of IA is the highest as compared to other Asian countries. Our findings suggest that gender may not play a key role in IA. This can be an emerging trend when both genders have equal access to the internet. By studying the impact of IA on HRQOL, healthcare professionals can design effective intervention to alleviate the negative consequences of IA in Vietnam.
Abkürzungen
AUDIT-C
Alcohol use disorders identification Test-consumption
EQ-5D-5 L
EuroQol - five dimensions - five levels
EQ-VAS
EuroQol -visual analogue scale
HRQOL
Health-related quality of life
IA
Internet addiction
IAT
Internet addiction test
RDS
Respondent-driven sampling

Background

In the past 20 years, internet has become an integral part of our lives and an important tool for social interaction and communication [1]. Access to internet is affordable and there has been a rapid growth of users in developing countries. Excessive internet use has led to negative impact on the health of users [2].
A body of research suggests that problematic Internet use can be viewed as an addictive behavior [3, 4]. Signs and symptoms of Internet addiction (IA) include preoccupation, mood symptoms consistent with withdrawal, greater time spent (tolerance) and functional impairment or negative consequences due to excessive use. IA may include internet gaming and other forms of addictive internet usage which include excessive downloading, use of social networking sites and online shopping [5]. While internet is an integral part of our daily life, IA is increasingly more common among young people and has become a pandemic worldwide [6]. For young people, poor social support and social isolation have been shown to result in IA [7]. Furthermore, IA may also have a negative impact on social skills, and interpersonal relationship [8]. Hence, it is important to assess the relationship between online interpersonal influences and IA because young people suffering from IA are often shy [9] and have low social skills [10]. The negative consequences of low social skills associated with IA remain unknown [2]. No studies to date have explored the relationship between IA and online interpersonal influences.
IA leads to negative consequences on mental health. A meta-analysis comprising 1641 patients suffering from IA and 11210 healthy controls found that IA was significantly associated with alcohol abuse, attention deficit and hyperactivity, depression, and anxiety [5]. IA may be associated with other forms of addiction including smoking and alcohol dependence [11, 12]. Andrews et al. (2002) found that peer influences contributed to substance use among young people [13]. Besides adverse psychological problems, IA also causes physical problems including back pain and strain injury [14]. If IA is not intervened upon early, it may lead to adverse effects on both physical and mental health in young people.
In 2013, the six-nation survey was conducted and compared the prevalence of IA among young Asians in China, Hong Kong, Japan, South Korea, Malaysia, and the Philippines [15]. IA was common among young people in these Asian countries and the prevalence of IA was highest in Philippines (21%). The reason for the high prevalence of IA among young Asians may be due to the fact that they often face the conflicts between collective culture [16] and individual identity formation [17]. Online activities allow young Asians to avoid awareness of their actual self and real-life problems [16]. Young Asians may engage in online activities such as online gaming to avoid conflict between the collective culture and their identity formation [16]. In China, problematic internet use was associated with psychosomatic symptoms and life dissatisfaction [14]. In Taiwan, the risk factors for IA were male gender, mental health comorbidity, and poor social support [18]. It is important to study IA among youth in other Asian countries because young people constitute majority of internet users and some of them exhibit addictive behaviors towards internet [18]. One important country which was not included in the 2013 six-nation survey was Vietnam.
The prevalence of IA in Vietnam is unknown. Son et al. (2012) found that young male Vietnamese who were addicted to multiplayer online role-playing game had higher scores on mental disorder scale [19]. Addiction to online game does not represent the whole spectrum of IA. Vietnam is one of the fastest-growing economies and the Kinh ethnic group constituted around 86% of the population. The situation of IA remains unknown in the the Kinh ethnic group which emphasizes on family bonding and spirituality which includes the practice of ancestor worship. In 2015, Vietnam had 44.4 million internet users and is projected to grow to 55.8 million internet users in 2018 [20]. Given the high broadband penetration rate in Vietnam, there is no doubt that IA is becoming increasingly problematic among young Vietnamese. IA is relatively less studied in Vietnam as compared to other Asian countries because the health care system focuses more on physical diseases [19]. Furthermore, there is lack of data for IA in young female Vietnamese.
In this study, we surveyed the prevalence of IA and health-related quality of life (HRQOL) via internet with a specific focus on young Vietnamese who are vulnerable to IA due to access to internet and computer literacy. The objective of this study was to investigate the association of IA, online interpersonal influences and HRQOL. First, we compared the differences between young Vietnamese with and without IA. Next, we investigated the association between online behaviors, HRQOL, physical and mental health problems. We hypothesized there were significant differences between young Vietnamese with and without IA in (i) socio-demographic characteristics; (ii) different domains of online interpersonal influences; (iii) the occurrence of physical and mental health problems; (iv) HRQOL and (v) occurrence of other forms of addiction. By identifying factors associated with poor HRQOL, this study aims to identify targets for future health interventions to improve HRQOL, physical and mental health of young Vietnamese in the era of internet and online culture.

Methods

Participants and Procedures

A cross-sectional study using web-based survey was conducted from August to October 2015 in Vietnam. The study was approved by the Institutional Review Board of the Hanoi Medical University. The inclusion criteria were: 1) Age from 15 to 25 years; 2) Currently living in Vietnam; 3) Agreement to participate in this study by providing the consent online. 4) Having a valid email account or account of social network sites to recruit other participants through the respondent-driven sampling (RDS) technique. The sample size was calculated by using the formula of Wejnert et al. [21] for RDS technique. With expected prevalence of youths being addicted to the Internet = 12.3% (according to a previous study in Vietnam [22]), Confident level = 95%; margin of error = 0.05 and design effect for RDS = 3, the minimum sample size was 498 youths. We add 15% to the sample size to compensate for people having incomplete answer. The final sample size was 573. After data collection, 566 youths were included into the data analysis phase.
The initial stage of recruitment focused on several core groups from various universities and high schools in Vietnam including the Hanoi Medical University, Vietnam National University, Hung Yen high school, and Phan Boi Chau high school. These groups were selected to reflect the diversity of study population by age, gender, and levels of education. These initial participants were more likely to know other young Vietnamese, who shared similar characteristics which made them eligible to meet the inclusion criteria. Based on the respondent-driven sampling technique, the initial participants were asked to recruit up to 5 other suitable participants through their social network.

Measures

Before the initiation of data collection, a pilot study was conducted on 20 young participants with different age and gender. These participants assessed the online platform and provided recommendations to enhance its accessibility and usability. The web-based survey included following sub-scales:
1)
Socio-demographic questions including age, gender, education, occupation, marital status, ethnicity and religion.
 
2)
The HRQOL was measured by using the EuroQol - five dimensions - five levels (EQ-5D-5 L) and EuroQol -visual analogue scale (EQ-VAS). The EQ-5D-5 L includes five domains: Mobility, Self-care, Usual Activities, Pain/Discomfort and Anxiety/Depression with five levels of response: no problems, slight problems, moderate problems, severe problems, and extreme problems, giving 3125 health states with respective single indexes. The EQ-VAS allowed the respondents to rate their health status on a 20-cm vertical scale, with the endpoint ranging from 0 to 100 points, labeled from ‘the worst health which you can imagine’ to ‘the best health which you can imagine’.
 
3)
The original form of Internet Addiction Test (IAT) was developed by Young et al. [23], comprising of 20 items with 5-point scale from 1 (“rarely”) to 5 (“always”) to measure various aspects of IA such as loss of control, time management and impairment in performance. The IAT has been used extensively in Asia [24]. In this study, we adapted the IAT (short form) which was validated by Pawlikowski et al. [25]. The short form consists of 12 items with good psychometric properties and assessing key features of IA based on diagnostic criteria [25]. The participant used a 5-point Likert scale to indicate their responses ranging from 1 (“rarely”) to 5 (“always”) and the scores ranged from 12 to 60 points. Higher scores suggest higher levels of IA. The cut-off score of 36 was used to identify participants with potential IA [26]. This questionnaire was translated into Vietnamese. To ensure the validity and reliability of this version, we applied the WHO’s guideline for translation and adaptation of instrument [27]. We involve two experts in English and Vietnamese to translate this instrument. Both of them were also experts in the field of medicine and psychology. We did forward translation, expert panel and back-translation as the recommendations from guideline. Then, we piloted the Vietnamese instrument with 10 youths and corrected any words or statements that could lead to misunderstandings. The Cronbach’s alpha of this instrument was 0.8667.
 
4)
To measure the level of alcohol abuse, the Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) questionnaire was used. The Vietnamese version of this scale was used and validated in previous studies [28, 29]. The AUDIT-C is commonly used by primary care physicians in order to screen for alcohol abuse [30]. The AUDIT-C consisted of three questions with scoring from 0 to 12 points, when higher scores indicate higher risk of alcohol dependence. If male respondents had score ≥ 4 and female respondents had score ≥ 3, they would be classified as potential cases of alcohol dependence [30].
 
5)
We investigated the online interpersonal influences on participants including the frequency of communicating with online friends, self-perception on the effects of online relationship on behaviors, lifestyles and perception, visiting places recommended by online friends and engagement of activities recommended by online friends.
 
6)
We collected other information including the time spent by each participant on Facebook, current status on cigarette smoking, and water-pipe (shisha) smoking.
 

Statistical analysis

STATA software version 12.0 (Stata Corp. LP, College Station, United States of America) was used to analyze the data. T-test, Mann–Whitney test, Chi-squared test and Fisher’s exact test were used to explore the differences between respondents with and without IA. Multivariate linear regression was used to identify factors associated with poor HRQOL, pain/discomfort and anxiety/depression. In this study, we applied a stepwise forward model strategy which used the log-likelihood ratio test with p-value set at 0.1 to select variables for the regression model. A p-value of less than 0.05 was set as the level of statistical significance.

Results

Socio-demographic characteristics of participants

Table 1 summarizes the socio-demographic characteristics of participants. Using the IAT cut-off of 36, one hundred twenty out of 566 participants (21.2%) suffered from IA. The mean age of participants identified with IA was 21.8 years while the mean age of participants without IA was 21.4 years. Among the 120 participants with IA, the number of male participants was 52 (43.3%) and female participants were 68 (56.7%). For participants with and without IA, most of them had high school education and above, the Kinh ethnicity, cult of ancestor as religion and average economic status. There were no significant differences between participants with and without IA in mean age, gender, education attainment, ethnicity, religion, marital status, current living location and economic status (P > 0.05).
Table 1
Comparison of socio-demographic characteristics of participants with and without internet addiction
 
Internet addiction
p
 
Yes
No
Total
 
 
n
%
n
%
N
%
 
Number of participants
120
21.2
446
78.8
566
100.0
 
Mean age (SD)
21.8
(3.9)
21.4
(3.7)
21.5
3.8
0.32*
Gender
 Male
52
23.6
168
76.4
220
38.9
0.26**
 Female
68
19.7
278
80.4
346
61.1
 
Education attainment
 ≤ High school
5
17.2
24
82.8
29
5.1
0.59**
 > High school
115
21.4
422
78.6
537
94.9
 
Ethnicity
 The Kinh ethnicity
116
21.5
424
78.5
540
95.4
0.46**
 Other ethnicities
4
15.4
22
84.6
26
4.6
 
Religion
 Cult of Ancestor
109
22.5
376
77.5
485
85.7
0.70**
 Other religions
11
13.6
70
86.4
81
14.3
 
Marital status
 Single
94
22.0
333
78.0
427
75.4
0.41**
 Living with spouse/partner
26
18.7
113
81.3
139
24.6
 
Current living location
 Renting a hostel
62
23.4
203
76.6
265
46.8
0.45***
 Staying in dormitory
16
22.9
54
77.1
70
12.4
 
 Living with family
36
20.1
143
79.9
179
31.6
 
 Living with relatives
5
11.6
38
88.4
43
7.6
 
 Other liver arrangements
1
11.1
8
88.9
9
1.6
 
Economic status of family
 High
1
7.7
12
92.3
13
2.3
0.09***
 Average
99
20.2
392
79.8
491
86.8
 
 Low
18
32.7
37
67.3
55
9.7
 
 Very low
2
28.6
5
71.4
7
1.2
 
*Student t-test; **Chi-squared test; ***Fishers exact test

Forms of interpersonal influences from online relationship

Table 2 compares the various forms of interpersonal influences on lifestyles and social activities from online relationship on participants with and without IA. Online relationship demonstrated significantly higher influences on behaviors and lifestyles on participants with IA (12.0%) than those without IA (5.3%, p < 0.01). Participants with IA were significantly more likely to visit places (p = 0.02) and engage in activities (p < 0.01) recommended by their online friends. Furthermore, participants with IA spent significantly more time on social media such as Facebook per day (p < 0.001).
Table 2
Comparison of online interpersonal influences on lifestyles and social activities between participants with and without internet addiction
 
Internet addiction
p
 
Yes
No
Total
 
 
N
%
n
%
n
%
 
Frequency of communicating with friends online
 Often
11
9.3
29
6.7
40
7.2
0.22*
 Frequently
32
27.1
94
21.6
126
22.8
 
 Rarely or never
75
63.6
312
71.7
387
70.0
 
Self- perception of the effects of online relationships on behaviors and lifestyles
 High influence
14
12.0
23
5.3
37
6.7
<0.01*
 Normal influence
37
31.6
82
19.0
119
21.7
 
 Little influence or no influence
66
56.4
327
75.7
393
71.6
 
Visit places recommended by online friends
 Often
19
16.4
47
10.8
66
12.0
0.02*
 Frequently
65
56.0
211
48.5
276
50.1
 
 Rarely or never
32
27.6
177
40.7
209
37.9
 
Engage in activities recommended by online friends
 Often
18
15.3
23
5.3
41
7.4
<0.01*
 Frequently
59
50.0
217
49.7
276
49.7
 
 Rarely or never
41
34.8
197
45.1
238
42.9
 
 Time spent on social media
Mean
SD
Mean
SD
Mean
SD
 
 Time for using Facebook (hours/day)
3.84
3.38
3.23
7.00
3.56
7.42
<0.01**
*Chi-squared test; ***MannWhitney test

Health problems and health-related quality of life

Table 3 compares the occurrence of health problems and HRQOL between participants with and without IA. As compared to the counterparts, participants with IA were significantly more likely to have problems with self-care (p < 0.01), difficulty in performing daily routines (p = 0.04), suffer from pain or discomfort (p = 0.03) and anxiety or depression (p < 0.01). Participants with IA obtained significantly lower scores in EQ-5D (p < 0.001) and EQ-5D VAS (p < 0.001).
Table 3
Comparison of the occurrence of physical and mental health problems and health-related quality of life between participants with and without internet addiction
 
Internet addiction
p
 
Yes
No
 
 
N
%
n
%
 
Difficulty with mobility
28
23.3
79
17.7
0.16*
Difficulty with self-care
19
15.8
32
7.2
<0.01*
Difficulty with usual activities
36
30.0
94
21.1
0.04*
Having pain or discomfort
69
57.5
207
46.4
0.03*
Suffering from anxiety or depression
102
85.0
325
72.9
<0.01*
 
Mean
SD
Mean
SD
 
EQ-5D index
0.69
0.2
0.75
0.2
<0.01**
EQ-5D VAS
76.7
17.2
81.1
16.0
<0.01**
*Chi-squared test; **Student t-test

Occurrence of other forms of addiction among participants

Table 4 compares the occurrence of other forms of addiction between participants with and without IA. There were no significant differences between the occurrence of cigarette smoking, water-pipe smoking and alcohol dependence between participants with and without IA (p > 0.05).
Table 4
Comparison the occurrence of other forms of addiction in all participants (n = 566)
 
Internet addiction
p
 
Yes
No
 
 
N
%
n
%
 
Current cigarette smokers
12
10.0
43
9.9
0.96*
Current water-pipe (Shisha) smokers
5
4.4
21
4.9
0.81*
Current dependence on alcohol
38
31.7
110
25.2
0.15*
*Chi-squared test

Regression analysis

Table 5 shows regression analysis to explore the unique contribution of the univariate correlates in exploring the HRQOL of all participants. IA (β = −4.23, 95% CI = −7.76 to – 0.7), alcohol dependence (β = −4.93, 95% CI = − 9.02 to – 0.84) and moderate levels of self- perception online interpersonal influences on behaviors and lifestyles (β = −3.94, 95% CI = − 7.48 to −0.40) were significantly associated with negative EQ-5D scores. Similarly, IA (β = −0.061; 95% CI = − 0.102 to – 0.019) was significantly associated with negative EQ-VAS scores. In contrast, low levels of self- perception of online interpersonal influences on behaviors and lifestyles were significantly associated with positive EQ-VAS scores (β = 0.077, 95% CI = 0.040 to 0.115).
Table 5
Multivariate linear regression analysis exploring the association between internet use behaviors, other forms of addiction and health-related quality of life in all participants (N = 566)
 
EQ-5D index
EQ-VAS
 
β
95% CI
β
95% CI
Internet addiction (Yes vs No)
4.23*
−7.76
−0.70
0.061*
−0.102
−0.019
Duration of Facebook use/day (hours)
−0.05
−0.27
0.16
−0.002
−0.004
0.001
Shisha smoking (Yes vs No)
−5.78
−13.10
1.54
   
Alcohol dependence (Yes vs No)
4.93*
−9.02
−0.84
   
Talk and meet new online friends (vs Often)
 Rarely or never
1.85
−1.68
5.38
   
Effects of online relationships on behaviors, lifestyles and perception (vs High influence)
 Moderate influence
3.94*
−7.48
−0.40
   
 Low influence or no influence
   
0.077*
0.040
0.115
Visit place introduced by online friends (vs Often)
 Rarely or never
−2.88
−5.87
0.12
−0.030
−0.064
0.004
*p < 0.05

Discussion

The aim of this pioneering study was to understand the interaction between IA, online interpersonal influences and HRQOL among young Vietnamese. The hypotheses that there were significant differences between young Vietnamese with and without IA in different domains of online interpersonal influences, the occurrence of physical and mental health problems and HRQOL were confirmed. In contrast, the hypotheses that there were significant differences between young Vietnamese with and without IA in socio-demographic characteristics and occurrence of other forms of addiction were not confirmed.
In this study, the prevalence of IA was 21.2% and it was established by a validated questionnaire, the IAT which was able to capture essential features of IA [11]. Our prevalence rate is higher or similar than other Asian studies (the prevalence of IA in Philippines was 21% (Mak et al. 2014); Korea was 20% [31]; Taiwan was 17.9% [18]; Singapore was 17.1% [32], Hong Kong was 16.4% [15]; Malaysia was 14.1% [15]; South Korea was 9.7% [15] and Japan was 6.2% [15]). The prevalence of IA in Vietnam is higher than the prevalence of IA reported in China [15, 33]. The prevalence of IA was reported to vary widely from study to study [14]. The variations could be caused by differences in the assessment methods for IA, as well as national differences in the prevalence of IA due to underlying cultural and social differences [14]. There is a possibility that IA is an emerging problem and prevalence of IA has increased since 2009. It is of utmost importance for each country to conduct studies to measure the prevalence of IA at regular intervals.
Contrary to findings from previous Asian studies, there was no significant difference between the IA and non-IA groups in the proportion of gender although previous Asian studies reported that male gender was a risk factor for IA [14, 18]. Researchers further postulated that online games and pornography were the main reasons contributing to IA in young men. Our findings suggest that young women are equally vulnerable to IA. This observation could be due to the fact that young men and women tend to be equal in manyaspects of life including the access to internet. Further studies are required to monitor the gender differences in IA in other countries. Young Vietnamese with IA were not more likely to be cigarette smokers, water-pipe smokers and alcoholics as compared to their counterparts without IA. This can be explained by the fact that the Kinh ethnic group views smoking water-pipe as part of their cultural practices and not associated with IA.
With regard to the forms of interpersonal influences from online relationship, online relationship demonstrated significantly higher influences on behaviors and lifestyles in young Vietnamese with IA. This study also showed that young Vietnamese with IA were significantly more likely to visit places and engage in activities recommended by their online friends. These are interesting findings since no studies to date have explored online interpersonal influences on lifestyles and behaviors in young people suffering from IA. These findings serve as a reference and require further replication in other countries. This is an expected finding because young Vietnamese with IA are spending ever-increasing amounts of time on internet. Internet is the only medium for socialization because the lack of social support from family and non-online friends is the main causes of IA [7]. From the cognitive perspectives, people with IA require greater cognitive efforts to make decision [34]. As a result, they may prefer to seek advices from online peers to help them deciding on activities or visiting places. From the social perspectives, one explanation is that young people with IA feel that they are safer or more comfortable with online communications [2], especially among those who suffer from IA and loneliness [18]. As a result, young people with IA are more open to suggestions by their online friends. Not surprisingly, young Vietnamese with IA spent significantly more time on social media such as Facebook on a daily basis.
Young Vietnamese with IA were more likely to report the occurrence of having problems in self-care and usual activities, pain or discomfort, anxiety or depression. These results are in line with previous research that has shown associations between IA and minor mental health morbidity [11, 14, 18]. Our findings confirm that IA could impair psychological well-being of young Vietnamese. Cao et al. (2009) suggested that excessive internet use often lead to heightened psychological arousal and result in health problems [14]. Primary care physicians need to assess physical and mental health status of young people with IA in developing countries. In addition, with regards to the HRQOL, young Vietnamese with IA had significantly lower scores in the EQ-5D index and EQ-5D VAS. These findings correspond to previous reports on IA and dissatisfaction with life [14]. The current finding confirms the results of previous research which found that long duration of internet use leads to functioning impairments [18]. The regression analysis showed that IA and alcohol dependence contribute to poor HRQOL in young Vietnamese. This finding suggests that IA could be as harmful as alcoholism.

Clinical implications

The present research findings are of importance for future research on IA in developing countries. Our results help to develop targets for the evidence-based interventions to tackle adverse effects of internet on young Vietnamese. First, the intervention program must focus on male and female patients suffering from IA as both genders are vulnerable to IA. Second, the intervention program must penetrate all socio-economic sectors in Vietnam as there were no socio-economic differences between young Vietnamese with and without IA. Third, interpersonal psychotherapy is useful to help young Vietnamese suffering from IA by reducing the online interpersonal influences on their behaviors and lifestyles. Social skill training and role play are equally important to improve off-line communication and relationship. Behavior therapy and activity scheduling will help young Vietnamese with IA to re-establish daily routines. Fourth, doctors should assess for physical health problems (e.g. back pain) and mental health problems (e.g. anxiety and depression) in young Vietnamese presenting with IA. Fifth, the health authority should spend resources to tackle IA because the negative impact of IA on HRQOL can be as serious as other forms of addiction.

Limitations

This study has several limitations. First, the respondent-driven sampling technique has its own limitation. This sampling depends on the first participants who determine the subsequent sampling and researchers have little control over the sampling method. This process is non-random and leads to potential sampling bias. Nevertheless, the respondent-driven sampling technique has its own advantages. This technique allows researchers to reach hidden population or people with a specific condition such as IA. Second, this cross-sectional study using online survey did not allow cause inferences to be drawn and it is possible that poorer health leads to greater internet use. Third, due to constraint of the length of online survey, we could not measure factors including personality and assess off-line relationship.

Conclusion

This study found that IA is a common problem in young Vietnamese and the prevalence of IA is among the highest as compared to other Asian countries. Both genders are at risk for IA. Our study has contributed to the understanding of important interactions between IA, online interpersonal influences and HRQOL in young Vietnamese. The findings help health professionals to design evidence-based intervention to tackle adverse online interpersonal influences associated with IA in young Vietnamese.

Acknowledgements

The authors would like to acknowledge supports by the Vietnam Authority of HIV/AIDS Control for the implementation of the study.

Funding

There was no funding for this analysis.

Availability of data and materials

The data that support the findings of this study are available from the Vietnam Authority of HIV/AIDS Control but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are however available from the authors upon reasonable request and with permission of Vietnam Authority of HIV/AIDS Control.

Authors’ contributions

BXT, CAL, LTH, NDH, LHN, BNL, VMN, TDT, MWBZ, RCMH conceived of the study, and participated in its design and implementation and wrote the manuscript. LHN, BXT analyzed the data. All authors read and approved the final manuscript.

Competing interests

The authors declares that they have no competing interests.
Not applicable.
Proposal of this research was approved by IRB of the Vietnam Authority of HIV/AIDS Control. Participants were asked to give E-informed consent and were informed that they could withdraw at anytime. Their contact information was coded and ensured to be confidential.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.
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Metadaten
Titel
A study on the influence of internet addiction and online interpersonal influences on health-related quality of life in young Vietnamese
verfasst von
Bach Xuan Tran
Le Thi Huong
Nguyen Duc Hinh
Long Hoang Nguyen
Bao Nguyen Le
Vuong Minh Nong
Vu Thi Minh Thuc
Tran Dinh Tho
Carl Latkin
Melvyn WB Zhang
Roger CM Ho
Publikationsdatum
01.12.2017
Verlag
BioMed Central
Erschienen in
BMC Public Health / Ausgabe 1/2017
Elektronische ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-016-3983-z

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