Changes in smoking habits in adults: results from a prospective study in Spain

Agudo, Antonio; Pera, Guillem; Rodríguez, Mauricio; Quirós, J. Ramón; Navarro, Carmen; Martínez, Cristina; Larrañaga, Nerea; Fernandez, Antonio L.; Dorronsoro, Miren; Chirlaque, M-D; Berenguer, Antonio; Barricarte, Aurelio; Ardanáz, Eva; Amiano, Pilar; Tormo, María-José; González, Carlos

doi:10.1016/s1047-2797(03)00245-x

Cited by 17 publications

(13 citation statements)

References 24 publications

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“…Heavier drinkers have also been shown to be at higher risk of smoking cessation failure than individuals consuming lower amounts of alcohol [16,26]. Earlier results on the alcohol-tobacco interaction have been based on cross-sectional associations, but our results suggest that smoking is an independent risk factor even for the long-term prognosis of persistent risky drinking.…”

Section: Discussioncontrasting

confidence: 49%

Predictors of Persistence of Risky Drinking in Adults: An 11-Year Follow-Up Study

Härkönen

Aalto²,

Suvisaari³

et al. 2017

Eur Addict Res

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Aim: To examine the long-term predictors of persistence of risky drinking in a baseline group of risky drinkers in whom alcohol use disorder had not been diagnosed. Methods: The data was derived from a representative sample of the Finnish adult population aged 30 years or more, surveyed at 2 time points in the years 2000 (n = 5,726) and 2011 (n = 3,848, 67.2% of the baseline sample). Risky drinking was defined using BSQF-measurement (for men, 21 standard UK drinks or more per week; for women 14+ drinks) and not having alcohol abuse or alcohol dependence. The sample of risky drinkers in baseline comprised 642 persons, of whom 380 (59.2%) people provided follow-up data. Multivariable logistic regression models were estimated to identify determinants of persistence of risky drinking. Results: The rate for persistence of risky drinking was 48.7%. Persistence was predicted by daily smoking, low physical activity, and male gender, whereas higher age and later onset of drinking predicted cessation of risky drinking. Daily smoking remained an independent predictor after adjusting for other risk factors. Conclusions: Health behaviour predicts the persistence of risky drinking in a study population of adults aged 30 and over. These factors should be taken into account when assessing the long-term prognosis on risky drinking.

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Section: Discussioncontrasting

confidence: 49%

Predictors of Persistence of Risky Drinking in Adults: An 11-Year Follow-Up Study

Härkönen

Aalto²,

Suvisaari³

et al. 2017

Eur Addict Res

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“…However, as they do belong to different Spanish regions, include a large number of people of different levels of education, reside in rural and urban areas, and present a smoking habit distribution similar to the general population, the cohort does not show any notable differences when compared with Spain's adult population. 38 The population cancer registries included in this study show good indicators of quality 27 with a high coverage. There are no self reported cases in which it was not possible to ascertain if they were tumours or not, as whenever there was doubt the patient's medical record was consulted or more information on the tumour was requested.…”

Section: Discussionmentioning

confidence: 85%

“…But the EPIC databases are annually cross checked by record linkage with the data from the corresponding cancer registries and national population death database, and the rate of follow up of this cohort is very high, with less than 2% lost to follow up. 38 It can therefore be concluded that the validity of self reported diagnoses of cancer in this large Spanish cohort is comparatively low, which is the reason why the overall information provided by the participants cannot be used individually for tumour detection. Population based cancer registries seem to be essential for ascertaining cancer cases in cohort studies carried out in Spain.…”

Section: Discussionmentioning

confidence: 88%

Validity of self reported diagnoses of cancer in a major Spanish prospective cohort study

Navarro¹

2006

Journal of Epidemiology & Community Health

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Introduction: This study aims to assess the validity of self reported diagnoses of cancer by persons recruited for the Spanish EPIC (European prospective investigation into cancer and nutrition) cohort study and to identify variables associated with correctly reporting a diagnosis of cancer. Methods: 41 440 members of EPIC were asked at the time of recruitment whether they had been diagnosed with cancer and the year of diagnosis and site. The process of validating self reported diagnoses of cancer included comparison of the cohort database with the data from the population based cancer registries. Cancer diagnostic validity tests were calculated. The association between a correct report and certain sociodemographic, tumour related, or health related variables were analysed by logistic regression. Results: The overall sensitivity of self reported diagnoses of cancer is low (57.5%; 95% CI: 51.9 to 63.0), the highest values being shown by persons with a higher level of education or with a family history of cancer and the lowest values by smokers. Breast and thyroid cancers are those with the highest diagnostic validity and uterus, bladder, and colon-rectum those with the lowest. In both sexes the variables showing a significant association with a correct report of cancer are: higher education level, number of previous pathologies, invasive tumour, and, in women, a history of gynaecological surgery. Conclusions: The overall sensitivity of self reported diagnoses of cancer is comparatively low and it is not recommended in epidemiological studies for identifying tumours. However, self reported diagnoses might be highly valid for certain tumour sites, malignant behaviour, and average to high levels of education.

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“…=0.0425 years -1 , is the rate at which ex-smokers return to smoking habit (Agudo et al,2004 Additionally, taking into account smoking prevalence in Spain (Table 1) we have estimated the parameter by fitting data with the model in the mean square sense. To find the value of that minimizes the mean square error, we used the Nelder-Mead algorithm (Nelder & Mead,1964;Press et al,1986) and we obtained =0.0381.…”

Section: Parameter Estimationsmentioning

confidence: 99%

Analysing the Spanish smoke-free legislation of 2006: A new method to quantify its impact using a dynamic model

Guerrero¹,

Santonja²,

Micó³

2011

International Journal of Drug Policy

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Background:There are many models that study different aspects concerning smoking habits: influence of price, tax, relapse time, the effects of prohibition, etc. There are also studies on the effect of the Spanish smoke-free law, but from a statistical point of view, not from a dynamic point of view. We wanted to build a model able to separate the effect of the law from the pre-law evolution of smoking habits.

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Changes in smoking habits in adults: results from a prospective study in Spain

Cited by 17 publications

References 24 publications

Predictors of Persistence of Risky Drinking in Adults: An 11-Year Follow-Up Study

Predictors of Persistence of Risky Drinking in Adults: An 11-Year Follow-Up Study

Validity of self reported diagnoses of cancer in a major Spanish prospective cohort study

Analysing the Spanish smoke-free legislation of 2006: A new method to quantify its impact using a dynamic model

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