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The purpose of this study is to realize the first evaluation of the psychometric characteristics of the Chinese version of the the Penn State University Electronic Cigarette Dependence Index Scale.
This study will use forward translation, reverse translation, and comprehensive methods to Chinese-translate the Penn State University Electronic Cigarette Dependence Index Scale to form a Chinese version of the Penn State University Electronic Cigarette Dependence Index Scale that is more in line with the Chinese language and cultural environment. This study will also verify its reliability and validity in a large sample population to form a formal version of the scale. The scale will provide an effective tool for evaluating the degree of e-cigarette dependence among young people and adolescents in my country.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Questionnaires assessed e-cigarette users |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Questionnaires set | Other | Participants will be asked to respond to the demographic information sheet,e-cigarette using characteristics sheet,the Penn State Electronic Cigarette Dependence Index (PS-ECDI ). |
| Measure | Description | Time Frame |
|---|---|---|
| E-cigarette dependence | The Penn State Electronic Cigarette Dependence Index is a validated self-reported instrument assessing e-cigarette dependence.Possible scales range from 0(no dependence) to 20(high dependency). | Baseline |
| Measure | Description | Time Frame |
|---|---|---|
| Self-reported addiction | Measured by a 0-100 point scaleļ¼the higher the score of the participant, the more severe the dependence on e-cigarettes. | Baseline |
| Time to first vape | Corroborative evidence for e-cigarette dependenceļ¼the shorter the time interval, the greater the dependence on e-cigarettes. |
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Inclusion Criteria:
Exclusion Criteria:
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A total number of 275 adults who used nicotine-containing e-cigarettes at least once a week for the past month and have smoked daily for the last 3 months
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| Name | Affiliation | Role |
|---|---|---|
| Wei Xia, PhD | Sun Yat-sen University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| XIAW | Guangzhou | Guangdong | 510080 | China |
The non-identified individual participant data will be shared after the outcomes have been published.
After the publication of the study.
Researchers should contact the PI for approval of the study protocol.
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| ID | Term |
|---|---|
| D000072137 | Vaping |
| ID | Term |
|---|---|
| D012907 | Smoking |
| D001519 | Behavior |
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Urinal cotinine and exhaled carbon monoxide
| Baseline |
| Vapes/day and vaping days/week | Corroborative evidence for e-cigarette dependenceļ¼the higher the frequency, the more severe the dependence on e-cigarettes. | Baseline |