| Literature DB >> 35874977 |
Yu Wu1.
Abstract
The overarching purpose of this study was to investigate the impact of health education, media campaigns, and peer counselor training on employees' health. This study also attempted to evaluate the function of tobacco control as a mediator in the relationship between employees' health and health education, media campaigns, and peer counselor training. Data were collected from 440 tobacco industry workers in China using a questionnaire technique. Smart-PLS software and a structural equation modeling (SEM) technique were used to evaluate the data. Employees' health was found to be significantly improved by health education, media campaigns, and peer counselor training. Furthermore, tobacco control was discovered to moderate the association between employee health and health education, media campaigns, and peer counselor training. By analyzing the impact of health education, media campaigns, and peer counselor training on employees' health, this research provided an important theoretical contribution. In terms of practical applications, this study would help employees consuming tobacco to maintain a healthy and safe atmosphere that encourages them to be engaged and perform well. Furthermore, this study could prove effective in resolving difficulties linked to controlling employee tobacco addiction and improving their performance. The tiny sample size of this study, which included solely employees working in the Chinese tobacco sector, was one of its limitations. In addition, future studies can incorporate other constructs to acquire a deeper knowledge of the factors that influence employees' health.Entities:
Keywords: employee health; health education; media campaign; peer counselor training; tobacco control
Mesh:
Year: 2022 PMID: 35874977 PMCID: PMC9301119 DOI: 10.3389/fpubh.2022.904894
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Figure 1Conceptual framework.
Demographic details.
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| Gender | Male | 71% | 440 |
| Female | 29% | ||
| Education | Graduation | 68% | 440 |
| Masters | 32% | ||
| Age | 25–35 | 14.5% | |
| 35–45 | 37.8% | ||
| 45–55 | 42% | ||
| Above 55 | 5.7% | ||
| Experience | <1 year | 26.20% | |
| 1–3 years | 40.63% | ||
| 4–6 years | 27.98% | ||
| More than 6 | 5.19% |
Common method bias.
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| 1 | 12.764 | 53.185 | 53.185 | 12.764 | 42.440 | 53.185 |
| 2 | 2.047 | 8.531 | 61.716 | |||
| 3 | 0.878 | 3.657 | 65.373 | |||
| 4 | 0.786 | 3.276 | 68.648 | |||
| 5 | 0.713 | 2.970 | 71.618 | |||
| 6 | 0.701 | 2.921 | 74.539 | |||
| 7 | 0.624 | 2.600 | 77.138 | |||
| 8 | 0.502 | 2.091 | 79.230 | |||
| 9 | 0.463 | 1.928 | 81.158 | |||
| 10 | 0.451 | 1.878 | 83.035 | |||
| 11 | 0.403 | 1.680 | 84.716 | |||
| 12 | 0.394 | 1.642 | 86.358 | |||
| 13 | 0.374 | 1.558 | 87.916 | |||
| 14 | 0.355 | 1.479 | 89.395 | |||
| 15 | 0.332 | 1.384 | 90.779 | |||
| 16 | 0.323 | 1.345 | 92.124 | |||
| 17 | 0.314 | 1.309 | 93.433 | |||
| 18 | 0.285 | 1.189 | 94.622 | |||
| 19 | 0.256 | 1.068 | 95.690 | |||
| 20 | 0.248 | 1.032 | 96.721 | |||
| 21 | 0.225 | 0.937 | 97.658 | |||
| 22 | 0.201 | 0.839 | 98.497 | |||
| 23 | 0.194 | 0.808 | 99.305 | |||
| 24 | 0.167 | 0.695 | 100.000 | |||
Extraction method: principal component analysis.
Figure 2Measurement analysis.
Factor loadings–Cronbach alpha, composite reliability, and AVE.
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| Employee health | 0.897 | 0.922 | 0.664 | |||
| EH1 | 0.837 | 2.289 | ||||
| EH2 | 0.858 | 2.69 | ||||
| EH3 | 0.873 | 2.926 | ||||
| EH4 | 0.828 | 2.277 | ||||
| EH5 | 0.797 | 1.978 | ||||
| EH6 | 0.682 | 1.521 | ||||
| Health education | 0.947 | 0.952 | 0.54 | |||
| HE1 | 0.735 | 2.792 | ||||
| HE2 | 0.725 | 2.847 | ||||
| HE3 | 0.713 | 2.503 | ||||
| HE4 | 0.737 | 2.526 | ||||
| HE5 | 0.721 | 2.311 | ||||
| HE6 | 0.693 | 2.013 | ||||
| HE7 | 0.727 | 2.199 | ||||
| HE8 | 0.753 | 2.509 | ||||
| HE10 | 0.765 | 2.539 | ||||
| HE11 | 0.784 | 2.811 | ||||
| HE12 | 0.779 | 2.78 | ||||
| HE13 | 0.768 | 2.34 | ||||
| HE14 | 0.723 | 2.13 | ||||
| HE15 | 0.784 | 2.41 | ||||
| HE16 | 0.687 | 2.012 | ||||
| HE17 | 0.663 | 1.867 | ||||
| HE18 | 0.721 | 2.15 | ||||
| Tobacco control | 0.797 | 0.881 | 0.711 | |||
| TC1 | 0.846 | 1.744 | ||||
| TC2 | 0.823 | 1.624 | ||||
| TC3 | 0.86 | 1.732 | ||||
| Media Campaign | 0.955 | 0.961 | 0.713 | |||
| MC1 | 0.863 | 3.609 | ||||
| MC2 | 0.883 | 4.199 | ||||
| MC3 | 0.847 | 2.951 | ||||
| MC4 | 0.854 | 3.093 | ||||
| MC5 | 0.863 | 3.584 | ||||
| MC6 | 0.863 | 3.464 | ||||
| MC7 | 0.872 | 3.554 | ||||
| MC8 | 0.801 | 2.435 | ||||
| MC9 | 0.819 | 2.964 | ||||
| MC10 | 0.769 | 2.493 | ||||
| Peer counselor training | 0.932 | 0.949 | 0.787 | |||
| PCT1 | 0.863 | 2.641 | ||||
| PCT2 | 0.89 | 3.173 | ||||
| PCT3 | 0.897 | 3.423 | ||||
| PCT4 | 0.9 | 3.424 | ||||
| PCT5 | 0.884 | 2.99 |
AVE, Average variance extracted; CR, Composite reliability; EH, Employee health; HE, Health education; ISQ, Tobacco control; MC, Media campaign; PCT, Peer counselor training.
Discriminant validity (HTMT ratio).
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| EH | 0.852 | ||||
| HE | 0.717 | 0.81 | |||
| TC | 0.826 | 0.729 | 0.843 | ||
| MC | 0.814 | 0.762 | 0.812 | 0.844 | |
| PCT | 0.764 | 0.686 | 0.814 | 0.752 | 0.887 |
EH, Employee health; HE, Health education; TC, Tobacco control; MC, Media campaign; PCT, Peer counselor training.
Discriminant validity (Fornell and Larcker Criteria).
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| EH | |||||
| HE | 0.765 | ||||
| TC | 0.826 | 0.825 | |||
| MC | 0.814 | 0.791 | 0.798 | ||
| PCT | 0.832 | 0.718 | 0.811 | 0.797 |
EH, Employee health; HE, Health education; TC, Tobacco control; MC, Media campaign; PCT, Peer counselor training.
R-Square values and Q-Square values for the variables.
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| Employee health | 0.753 | 0.494 |
| Tobacco control | 0.78 |
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Bold indicates the relationship value for the variables.
Figure 3Structural analysis.
Direct effect.
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| H1- | Health Education -> Employee health | 0.100 | 0.041 | 2.419 | 0.016 | 0.019 | 0.174 | Supported |
| H2 | Media Campaign -> Employee health | 0.339 | 0.050 | 6.740 | 0.000 | 0.239 | 0.436 | Supported |
| H3 | Peer counselor training -> Employee health | 0.137 | 0.044 | 3.085 | 0.002 | 0.049 | 0.228 | Supported |
Indirect effects.
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| H4 | HE -> TC -> EH | 0.148 | 0.001 | 0.100 | 0.016 | 0.048 | 0.000 | 0.024 | 0.075 |
| H5 | MC -> TC -> EH | 0.466 | 0.000 | 0.339 | 0.000 | 0.128 | 0.000 | 0.080 | 0.178 |
| H6 | PCT -> TC -> EH | 0.312 | 0.000 | 0.137 | 0.002 | 0.175 | 0.000 | 0.118 | 0.231 |