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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Are predictors of making a quit attempt the same as predictors of 3‐month abstinence from smoking? Findings from a sample of smokers recruited for a study of computer‐tailored smoking cessation advice in primary care
|
|---|---|
| Published in |
Addiction, June 2015
|
| DOI | 10.1111/add.12972 |
| Pubmed ID | |
| Authors |
Dimitra Kale, Hazel M Gilbert, Stephen Sutton |
| Abstract |
To identify predictors of quit attempts and of 3-month abstinence from cigarette smoking. Secondary analysis of data gathered for a two-armed randomised controlled trial with 6-month follow-up. 123 general practices across the UK PARTICIPANTS: 4397 participants who completed the 6-month follow-up. Participants were categorised on self-reported smoking behaviour at 6-month follow-up as non-attempters (n = 2664), attempted quitters (n = 1548) and successful quitters (n = 185). Demographic characteristics, smoking history and nicotine dependence, cognitive and social-environmental factors measured at baseline were examined as potential predictors of quit attempts and 3-month abstinence. Univariate predictors of quit attempts included commitment (OR = 11.64, 95%CI 8.30-16.32), motivation (OR = 2.10, 95%CI 1.98-2.22) and determination to quit (OR = 1.94, 95%CI 1.83-2.05). Successful quitting was associated with being married (OR = 1.51, 95%CI 1.11-2.05), lower social deprivation (OR = 0.47, 95%CI 0.30-0.74), higher reading level (OR = 1.62, 95%CI 1.19-2.21) and lower nicotine dependence (OR = 0.42, 95%CI 0.29-0.62). Health problems related to smoking and previous quit attempts for 3 months or longer predicted both. In the multivariate analysis, the significant predictors of making a quit attempt were; later stage of readiness to quit (OR = 5.38, 95%CI 3.67-7.89), motivation (OR = 1.48, 95%CI 1.34-1.62) and determination to quit (OR = 1.16, 95%CI 1.05-1.29) and health problems related to smoking (OR = 1.44, 95%CI 1.18-1.75). For 3-month abstinence, the only significant predictor was not having health problems related to smoking (OR = 0.50, 95%CI 0.30-0.83). While high motivation and determination to quit is necessary to prompt an attempt to quit smoking, demographic factors and level of nicotine dependence are more important for maintaining abstinence. |
X Demographics
The data shown below were collected from the profiles of 16 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 | 7 | 44% |
| Mexico | 1 | 6% |
| Malaysia | 1 | 6% |
| Guinea | 1 | 6% |
| Australia | 1 | 6% |
| Unknown | 5 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 69% |
| Practitioners (doctors, other healthcare professionals) | 4 | 25% |
| Scientists | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Iran, Islamic Republic of | 1 | 1% |
| Denmark | 1 | 1% |
| Unknown | 67 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 16% |
| Student > Bachelor | 10 | 14% |
| Student > Master | 9 | 13% |
| Researcher | 8 | 12% |
| Other | 5 | 7% |
| Other | 15 | 22% |
| Unknown | 11 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 21 | 30% |
| Psychology | 14 | 20% |
| Nursing and Health Professions | 7 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 4% |
| Environmental Science | 2 | 3% |
| Other | 8 | 12% |
| Unknown | 14 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 September 2015.
All research outputs
#3,803,511
of 25,446,666 outputs
Outputs from Addiction
#2,264
of 6,294 outputs
Outputs of similar age
#47,418
of 280,187 outputs
Outputs of similar age from Addiction
#35
of 81 outputs
Altmetric has tracked 25,446,666 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,294 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.7. This one has gotten more attention than average, scoring higher than 63% of its peers.
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 280,187 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 81 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.