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Association between successful smoking cessation and changes in marital and job status and health behaviours: evidence from a 10-wave nationwide survey in Japan

Overview of attention for article published in BMC Public Health, August 2018
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Title
Association between successful smoking cessation and changes in marital and job status and health behaviours: evidence from a 10-wave nationwide survey in Japan
Published in
BMC Public Health, August 2018
DOI 10.1186/s12889-018-5970-z
Pubmed ID
Authors

Takashi Oshio

Abstract

There is limited knowledge the association of smoking cessation with changes in lifestyle and health behaviours. This study examined this issue using large-scale, long-term longitudinal data. The data were obtained from a 10-wave (nine-year) longitudinal nationwide survey of middle-aged individuals conducted from 2005 to 2014 in Japan. Participants included 4452 men and 1194 women aged 50-59 years who were smoking at wave 1. Smoking cessation was defined as no smoking during waves 8-10; and changes in marital and job status, leisure-time physical activity, alcohol intake, and health check-ups from waves 1 to 8 were considered. Multivariable logistic regression models were estimated to explain smoking cessation as a function of changes in marital and job status and health behaviours, and were adjusted for potential attrition bias. Male smoking cessation was negatively associated with separation from a spouse (odds ratio [OR]: 0.52; 95% confidence interval [CI]: 0.29-0.92) and stopping of health check-ups (OR: 0.63; 95% CI: 0.49-0.81), while it was positively associated with moving from work to retirement (OR: 1.67; 95% CI: 1.23-2.26), beginning a leisure-time physical activity (OR: 2.37; 95% CI: 1.83-3.08), and quitting alcohol intake (OR: 1.80; 95% CI: 1.36-2.39). Female smoking cessation was negatively associated with the stoppage of health check-ups (OR: 0.31; 95% CI: 0.18-0.53) and positively associated with quitting alcohol intake (OR: 1.86; 95% CI: 1.08-3.20). The results underscore the association of smoking cessation with changes in marital and job status and health behaviours and imply the need for policy measures to improve health behaviours to promote smoking cessation.

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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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 9%
Student > Master 3 9%
Lecturer 2 6%
Student > Bachelor 2 6%
Student > Postgraduate 2 6%
Other 4 13%
Unknown 16 50%
Readers by discipline Count As %
Medicine and Dentistry 8 25%
Nursing and Health Professions 3 9%
Agricultural and Biological Sciences 2 6%
Psychology 1 3%
Social Sciences 1 3%
Other 1 3%
Unknown 16 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 24 August 2018.
All research outputs
#17,987,988
of 23,100,534 outputs
Outputs from BMC Public Health
#12,615
of 15,064 outputs
Outputs of similar age
#239,834
of 334,082 outputs
Outputs of similar age from BMC Public Health
#246
of 275 outputs
Altmetric has tracked 23,100,534 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15,064 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 334,082 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 275 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.