Work Stress and Subsequent Risk of Internet Addiction Among Information Technology Engineers in Taiwan
Abstract
Work stress, as defined by the Demand-Control-Support (DCS) model and the Effort-Reward Imbalance (ERI) model, has been found to predict risks for depression, anxiety, and substance addictions, but little research is available on work stress and Internet addiction. The aims of this study are to assess whether the DCS and ERI models predict subsequent risks of Internet addiction, and to examine whether these associations might be mediated by depression and anxiety.
A longitudinal study was conducted in a sample (N = 2,550) of 21-55 year old information technology engineers without Internet addiction. Data collection included questionnaires covering work stress, demographic factors, psychosocial factors, substance addictions, Internet-related factors, depression and anxiety at wave 1, and the Internet Addiction Test (IAT) at wave 2.
Ordinal logistic regression was used to assess the associations between work stress and IAT; path analysis was adopted to evaluate potentially mediating roles of depression and anxiety. After 6.2 months of follow-up, 14.0% of subjects became problematic Internet users (IAT 40-69) and 4.1% pathological Internet users (IAT 70-100).
Job strain was associated with an increased risk of Internet addiction (odds ratio [OR] of having a higher IAT outcome vs. a lower outcome was 1.53); high work social support reduced the risk of Internet addiction (OR = 0.62). High ER ratio (OR = 1.61) and high overcommitment (OR = 1.68) were associated with increased risks of Internet addiction.
Work stress defined by the DCS and ERI models predicted subsequent risks of Internet addiction.