Differences in cardiovascular disease mortality between local authorities in England: an ecological analysis

BackgroundLarge inequalities in age-standardised mortality rates of cardiovascular disease (CVD) exist at the local authority level within England, with particular areas consistently having the highest rates. Higher deprivation is associated with higher CVD mortality, but we know little about how the demographics and environments of local areas contribute to variations in mortality rates. The aim of this study was to explore the extent to which demographic, health, and environmental factors explain differences in all ages and premature CVD mortality between local authorities in England.MethodsAll data were sourced for each local authority in England. Outcome variables were age-standardised CVD mortality for all ages and those under 75 years in 2012–14. Data obtained were prevalence of ethnic and socioeconomic groups from the UK 2011 census; Public Health England data on index of multiple deprivation (IMD) score; prevalence of smoking, physical activity, obesity and overweightness; and Ordnance Survey environmental data on percentage of food shops, eating out shops, green or blue space, sporting facilities, and health facilities. We used the Akaike Information Criterion to assess which types of variables provided the best statistical model to explain variation in CVD mortality between local authorities.FindingsInclusion of health, demographic, environment, and IMD variables provided the best fit for explaining variation in CVD mortality at all ages (adjusted r²=0·60). Indian and Pakistani ethnicity and the IMD score in local authorities remained significantly associated with the outcome, with corresponding p values all less than 0·01. CVD mortality was 44 per 100 000 population greater in areas with the highest proportions of Indian and Pakistani ethnicities and 110 per 100 000 greater in the most deprived local authorities than in the least deprived areas. For CVD mortality below age 75, exclusion of environmental data improved the fit of the model (adjusted r²=0·82). Overweight prevalence (p=0·0481), Indian (p=0·0111), Pakistani (p=0·0003), and Bangladeshi (p=0·003) ethnicity, and the IMD score (p<0·0001) all remained significantly associated with premature CVD mortality when the best fitting model was used. Premature mortality was 13 per 100 000 and 18–25 per 100 000 greater in local authorities where the proportion of overweight people and Asian ethnicities was highest. Premature mortality in the most deprived local authorities was 68 per 100 000 greater than in the least deprived authorities.InterpretationThese findings are valuable for understanding which factors might be most useful for local authorities to target to reduce CVD mortality. This study combined a large amount of existing data; however, it was conducted at an ecological level, so analyses using individual-level mortality outcomes are also needed.FundingThe authors' posts are funded by the British Heart Foundation.     

Factors associated to repeated influenza vaccination in the Portuguese adults with chronic conditions

Annual influenza vaccination is recommended to people with chronic conditions. This study aimed to estimate the proportion of chronically ill adults vaccinated against influenza in consecutive seasons and to identify associated factors.We used data from the first National Health Examination Survey (INSEF), a cross-sectional study conducted in 2015 on a probabilistic sample of individuals aged 25–74 years. The population was restricted to individuals who self-reported diabetes, a respiratory, cardiovascular, liver or kidney disease. Self-reported vaccination in 4 consecutive seasons was categorized in 3 levels: unvaccinated, occasionally (vaccinated 1–3 seasons) and repeatedly vaccinated (in all 4 seasons). A multinomial logistic regression was applied to estimate odds-ratio (OR) of influenza vaccination according to sociodemographic factors, chronic condition, health care use and status.In the target population, the 2014/15 influenza vaccine coverage was 33.8% (95% CI: 29.8–38.1). The higher coverage was found in individuals reporting renal disease (66.7%) and diabetes (43.8%). The coverage decreased to 32.6%, 26.0% and 20.8% for individuals with respiratory, cardiovascular and liver diseases, respectively. The probability of being repeatedly vaccinated, compared to unvaccinated, was higher in males (OR = 2.14: 95% CI: 1.31–3.52); aged 65 and 74 (OR = 4.39; 95% CI: 1.99–9.69); whom had an appointment with a general practitioner (OR = 2.77; 95% CI: 1.00–7.66) or other physician (OR = 3.95: 95% CI: 2.53–6.16); with no smoking habits (OR = 1.58; 95% I: 1.02–2.46) and reporting diabetes (OR = 2.13; 95% CI: 1.02–4.45). Finally, having a self-reported cardiovascular condition decreased the likelihood of being occasionally (OR = 0.38; 95% CI = 0.22–0.65) vaccinated against influenza.Younger individuals, females and the ones with a self-reported cardiovascular condition were identified as more likely of non-compliance to the vaccine uptake recommendation. Future vaccination strategies should focus on the previous identified population subgroups. Also, the medical recommendation of the influenza vaccine uptake should continue and be reinforced particularly in individuals with a cardiovascular condition.     

我国脑膜炎奈瑟菌中nalP基因的分布特征

目的 了解我国脑膜炎奈瑟菌（Nm）菌株的nalP基因分布特征,为其功能和作用机制研究提供依据。 方法 采用多位点序列分型方法对187株分离自我国的Nm菌株进行分子分型。利用菌株全基因组框架图获得nalP基因及其两侧序列,对基因序列进行同源性比对及聚类分析。 结果 178株Nm携带nalP基因;Nm中nalP基因与淋病奈瑟菌（Ng）中nalP基因的同源性为95% ~ 96%,但系统进化分析明显分为两支,两侧间隔区同源性＞85%。9株无nalP基因菌株中6株为?nalP2型,新发现3种排布方式。C群患者和健康携带者来源phase on菌株数差异有统计学意义。 结论 Nm中nalP基因可能由Ng获得后各自独立进化,无nalP基因菌株可能是nalP基因丢失,能够表达NalP的C群患者来源菌株可能缺失NalP的补偿机制。