| Title |
Exploring the intergenerational persistence of health behaviour: an empirical study of smoking from China
|
|---|---|
| Published in |
BMC Public Health, June 2017
|
| DOI | 10.1186/s12889-017-4480-8 |
| Pubmed ID | |
| Authors |
Jay Pan, Wei Han |
| Abstract |
It is of significance to look into the intergenerational transmission of risk behaviour to explain the disparity of health. Our paper contributes to the literature by providing evidence in the context of China, focusing on smoking behaviour. This paper studies the intergenerational transmission of smoking in the context of China using a nationally representative dataset - the China Health and Nutrition Survey (CHNS). The two-part model, the Tobit model, and the fixed effects model are utilized for the empirical analysis, respectively. We found a strong intergenerational persistence of health behaviour. That is, parents' smoking behaviour is positively correlated with their children's smoking initiation. Our study provides evidence of the intergenerational persistence of health behaviour in the case of smoking, in the world's most populous country. This has policy implications for the issue of intergenerational mobility and health education, as well as for tobacco control in China. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 55 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 15% |
| Student > Master | 6 | 11% |
| Researcher | 5 | 9% |
| Student > Bachelor | 4 | 7% |
| Professor | 3 | 5% |
| Other | 9 | 16% |
| Unknown | 20 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 7 | 13% |
| Medicine and Dentistry | 7 | 13% |
| Social Sciences | 6 | 11% |
| Psychology | 5 | 9% |
| Nursing and Health Professions | 3 | 5% |
| Other | 6 | 11% |
| Unknown | 21 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 March 2022.
All research outputs
#14,637,157
of 24,051,764 outputs
Outputs from BMC Public Health
#10,528
of 15,832 outputs
Outputs of similar age
#171,314
of 320,847 outputs
Outputs of similar age from BMC Public Health
#191
of 257 outputs
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