Dataset Information

Changes in smoker characteristics in England between 2008 and 2017.

ABSTRACT: AIMS:At a time of declining smoking prevalence in England, it is useful to document any changes in the characteristics of smokers. This has implications for targeting tobacco control policies and interventions. This study compared the characteristics of smokers from 2008 to 2017 to assess changes in smoking and quitting patterns and socio-demographic profile. DESIGN AND SETTING:Analysis of annual trends in results from repeated cross-sectional surveys of representative samples of the population in England from 2008 to 2017. PARTICIPANTS:The study included 208?813 adults aged 16+. MEASUREMENTS:Information was gathered on age, sex, social grade and region, cigarette consumption, cigarette dependence as measured by time to first cigarette of the day, daily smoking, smoking roll-your-own cigarettes, attempts to cut down, use of an e-cigarette or nicotine replacement therapy, attempts to cut down or quit, use of support in quit attempts and whether the quit attempt was abrupt. FINDINGS:During the period, mean daily cigarette consumption [B = -0.30, 95% confidence interval (CI) = -0.33 to -0.27] and the time to first cigarette score decreased (B = -0.03, 95% CI = -0.03 to -0.02). The proportion of smokers attempting to cut down or quit decreased (odds ratio (OR) range = 0.96-0.97, 95% CI range = 0.95-0.97). Use of behavioural support [odds ratio (OR) = 0.89, 95% CI = 0.86-0.92] or no support decreased (OR = 0.98, 95% CI = 0.96-0.99), while use of pharmacological support, including e-cigarettes, increased (OR = 1.04, 95% CI = 1.02-1.05). There was no significant change in the difference in social grade between smokers and non-smokers comparing 2008 with 2017. Changes in smoking and quitting behaviour were independent of changes in socio-demographic characteristics. CONCLUSIONS:Between 2008 and 2017 in England, smokers appear to have become less dependent on cigarettes but less likely to try to quit or cut down. Of those who tried to quit, fewer used behavioural support and more used pharmacological support. The proportion from more disadvantaged backgrounds did not change significantly.

SUBMITTER: Garnett C

PROVIDER: S-EPMC7079121 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Changes in smoker characteristics in England between 2008 and 2017.

Garnett Claire C Tombor Ildiko I Beard Emma E Jackson Sarah E SE West Robert R West Robert R Brown Jamie J

Addiction (Abingdon, England) 20200108 4

<h4>Aims</h4>At a time of declining smoking prevalence in England, it is useful to document any changes in the characteristics of smokers. This has implications for targeting tobacco control policies and interventions. This study compared the characteristics of smokers from 2008 to 2017 to assess changes in smoking and quitting patterns and socio-demographic profile.<h4>Design and setting</h4>Analysis of annual trends in results from repeated cross-sectional surveys of representative samples of ...[more]

PMID: 31914486

Similar Datasets

Project description:Genotyping evidence that supports the interruption of endemic measles virus (MV) transmission is one of the essential criteria to be verified in achieving measles elimination. In Japan since 2014, MV genotype analyses have been performed for most of the measles cases in prefectural public health institutes nationwide. With this strong molecular epidemiological data, Japan was verified to have eliminated measles in March, 2015. However, even in the postelimination era, sporadic cases and small outbreaks of measles have been detected repeatedly in Japan. This study investigated the nationwide molecular epidemiology of MV between 2008 and 2017. The 891 strains in the total period between 2008 and 2017 belonged to seven genotypes (D5, D4, D9, H1, G3, B3, and D8) and 124 different MV sequence variants, based on the 450-nucleotide sequence region of the N gene (N450). The 311 MV strains in the postelimination era between 2015 and 2017 were classified into 1, 7, 8, and 32 different N450 sequence variants in D9, H1, B3, and D8 genotypes, respectively. Analysis of the detection period of the individual N450 sequence variants showed that the majority of MV strains were detected only for a short period. However, MV strains, MVs/Osaka.JPN/29.15/ [D8] and MVi/Hulu Langat.MYS/26.11/ [D8], which are named strains designated by World Health Organization (WHO), have been detected in many cases over 2 or 3 years between 2015 and 2017. The WHO-named strains have circulated worldwide, causing outbreaks in many countries. Epidemiological investigation revealed repeated importation of these WHO-named strains into Japan. To demonstrate the elimination status (interruption of endemic transmission) in situations with repeated importation of the same strains is challenging. Nevertheless, the detailed sequence analysis of individual MV strains and chronological analysis of these strains provided sufficient evidence to show that Japan has still maintained its measles elimination status in 2017.

Project description:BackgroundNot all chronic diseases have clear pathways and time targets for diagnosis. We explored pathways and timings for four major chronic respiratory diseases in England.MethodsUsing deidentified electronic healthcare records from Clinical Practice Research Datalink Aurum linked to Hospital Episode Statistics, we derived cohorts of patients diagnosed with asthma, chronic obstructive pulmonary disease (COPD), ILD or bronchiectasis at three time periods (2008/2009, 2018/2019 and 2020/2021). We followed people 2 years before and 2 years after diagnosis, calculating the proportion of people who presented with symptoms, underwent diagnostic tests, were treated and consulted healthcare (primary or secondary) and calculated time intervals between events. We repeated analyses by socioeconomic status and geographical region.ResultsWe descriptively studied patient pathways for 429 619 individuals across all time frames and diseases. Most people (>87%) had first evidence of diagnosis in primary care. The proportion of people reporting symptoms prior to diagnosis was similar for asthma, COPD and ILD (41.0%-57.9%) and higher in bronchiectasis (67.9%-71.8%). The proportion undergoing diagnostic tests was high for COPD and bronchiectasis (77.6%-89.2%) and lower for asthma (14%-32.7%) and ILD (2.6%-3.3%). The proportion of people undergoing diagnostic tests decreased in 2020/2021 for all diseases, mostly COPD. Time (months) (median (IQR)) between symptoms and diagnosis, averaged over three time periods, was lowest in asthma (~7.5 (1.3-16.0)), followed by COPD (~8.6 (1.8-17.2)), ILD (~10.1 (3.6-18.0)) and bronchiectasis (~13.5 (5.9-19.8)). Time from symptoms to diagnosis increased by ~2 months in asthma and COPD over the three time periods. Although most patients were symptomatically treated prior to diagnosis, time between diagnosis and postdiagnostic treatment was around 4 months for ILD, 3 months for bronchiectasis and instantaneous for asthma and COPD. Socioeconomic status and regional trends showed little disparity.ConclusionCurrent pathways demonstrate missed opportunities to diagnose and manage disease and to improve disease coding.

Project description:BackgroundGlobally, the increasingly severe population ageing issue has been creating challenges in terms of medical resource allocation and public health policies. The aim of this study is to address the space-time trends of the population-ageing rate (PAR), the number of medical resources per thousand residents (NMRTR) in mainland China in the past 10 years, and to investigate the spatial and temporal matching between the PAR and NMRTR in mainland China.MethodsThe Bayesian space-time hierarchy model was employed to investigate the spatiotemporal variation of PAR and NMRTR in mainland China over the past 10 years. Subsequently, a Bayesian Geo-Detector model was developed to evaluate the spatial and temporal matching levels between PAR and NMRTR at national level. The matching odds ratio (OR) index proposed in this paper was applied to measure the matching levels between the two terms in each provincial area.ResultsThe Chinese spatial and temporal matching q-statistic values between the PAR and three vital types of NMRTR were all less than 0.45. Only the spatial matching Bayesian q-statistic values between the PAR and the number of beds in hospital reached 0.42 (95% credible interval: 0.37, 0.48) nationwide. Chongqing and Guizhou located in southwest China had the highest spatial and temporal matching ORs, respectively, between the PAR and the three types of NMRTR. The spatial pattern of the spatial and temporal matching ORs between the PAR and NMRTR in mainland China exhibited distinct geographical features, but the geographical structure of the spatial matching differed from that of the temporal matching between the PAR and NMRTR.ConclusionThe spatial and temporal matching degrees between the PAR and NMRTR in mainland China were generally very low. The provincial regions with high PAR largely experienced relatively low spatial matching levels between the PAR and NMRTR, and vice versa. The geographical pattern of the temporal matching between the PAR and NMRTR exhibited the feature of north-south differentiation.

Project description:BackgroundCardiac surgeries are high risk procedures that require specialized care and access to these procedures is often limited in resource-poor countries. Although fatalities for surgical patients across Africa are twice that of the global rate, cardiac surgical mortality continent-wide is only slightly higher than all-surgical mortality. Understanding demographic and health characteristics of patients and the associations of these characteristics with morbidity and mortality events is important in guiding care decisions. Therefore, the objectives of this study were to: (a) describe the characteristics of cardiac surgical patients; (b) identify the associations between these characteristics and morbidity and mortality events following cardiac surgery.MethodsPatient characteristics and post-surgical complications were abstracted for all cardiac surgical patients treated at a tertiary care hospital in Kenya from 2008 to 2017. Descriptive analyses of demographic factors, co-morbidities, peri-operative conditions, and post-surgical complications were conducted for adult and pediatric patients. Cochran-Armitage trend test was used to assess temporal trends in risk of death. Multivariable ordinary logistic and Firth logistic models were used to investigate predictors of surgical outcomes.ResultsThe study included a total of 181 patients (150 adult and 31 pediatric patients). Most (91.3%) adult patients had acquired conditions while 45.2% of the pediatric patients had congenital defects. Adult patients tended to have co-morbid conditions including hypertension (16.7%), diabetes mellitus (7.3%), and nephropathy (6.7%). Most patients (76.0% adults and 96.8% pediatric patients) underwent ≤ 2 surgical procedures during their hospital stay. Seventy percent of adult and 54.8% of the pediatric patients experienced at least one post-surgical complication including mediastinal hemorrhage, acute kidney injury and death. Patient characteristics played the greatest roles in predicting post-surgical complications. For adult patients, significant predictors of acute kidney injury included atrial fibrillation (OR = 18.25; p = .001), mitral valve replacement (OR = 0.14; p = .019), and use of cardiopulmonary bypass (OR = 0.06; p = .002). Significant predictors of 30-day mortality were age (OR = 1.05; p = .015) and atrial fibrillation (OR = 4.12, p = .018). Although the number of surgeries increased over the decade-long study period, there were no significant (p = .467) temporal trends in the risk of death.ConclusionsAwareness of demographic and peri-surgical factors that are predictors of complications is useful in guiding clinical decisions to reduce morbidity and mortality. Identification of co-morbidities as the most useful predictors of post-surgical complications suggests that patient characteristics may be a larger contributor to the incidence of complications than surgical practices.

Dataset Information

Changes in smoker characteristics in England between 2008 and 2017.

Publications

Changes in smoker characteristics in England between 2008 and 2017.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets