Journal of Epidemiology and Community Health
Công bố khoa học tiêu biểu
* Dữ liệu chỉ mang tính chất tham khảo
Tổng hợp phân tích là một phương pháp để thu được giá trị trung bình có trọng số của các kết quả từ các nghiên cứu khác nhau. Ngoài việc gộp các kích thước hiệu ứng, tổng hợp phân tích cũng có thể được sử dụng để ước lượng tần suất bệnh, chẳng hạn như tỷ lệ mắc và tỷ lệ lưu hành. Trong bài viết này, chúng tôi trình bày các phương pháp cho tổng hợp phân tích tỉ lệ bệnh. Chúng tôi thảo luận về biến đổi logit và biến đổi cung đôi để ổn định phương sai. Chúng tôi lưu ý tình huống đặc biệt của tỉ lệ bệnh nhiều loại, và đề xuất các giải pháp cho các vấn đề phát sinh. Chúng tôi mô tả việc thực hiện các phương pháp này trong phần mềm MetaXL, và trình bày một nghiên cứu mô phỏng và ví dụ về bệnh xơ cứng ở dạng khu vực từ dự án Tải nặng bệnh tật toàn cầu năm 2010. Chúng tôi kết luận rằng biến đổi cung đôi được ưa chuộng hơn logit, và rằng việc thực hiện tỉ lệ bệnh nhiều loại trong MetaXL là một cải tiến trong phương pháp phân tích tổng hợp tỉ lệ bệnh.
The association between periodontitis and atherosclerotic cardiovascular diseases (ACVD) has been established in some modestly sized studies (<10 000). Rarely, however, periodontitis has been studied directly; often tooth loss or self-reported periodontitis has been used as a proxy measure for periodontitis. Our aim is to investigate the adjusted association between periodontitis and ACVD among all individuals registered in a large dental school in the Netherlands (Academic Centre for Dentistry Amsterdam (ACTA)).
Anonymised data were extracted from the electronic health records for all registered patients aged >35 years (period 1998–2013). A participant was recorded as having periodontitis based on diagnostic and treatment codes. Any affirmative answer for cerebrovascular accidents, angina pectoris and/or myocardial infarction labelled a participant as having ACVD. Other risk factors for ACVD, notably age, sex, smoking, diabetes, hypertension, hypercholesterolaemia and social economic status, were also extracted. Logistic regression analyses were used to evaluate the adjusted associations between periodontitis and ACVD.
60 174 individuals were identified; 4.7% of the periodontitis participants (455/9730) and 1.9% of the non-periodontitis participants (962/50 444) reported ACVD; periodontitis showed a significant association with ACVD (OR 2.52; 95% CI 2.3 to 2.8). After adjustment for the confounders, periodontitis remained independently associated with ACVD (OR 1.59; 95% CI 1.39 to 1.81). With subsequent stratification for age and sex, periodontitis remained independently associated with ACVD.
This cross-sectional analysis of a large cohort in the Netherlands of 60 174 participants shows the independent association of periodontitis with ACVD.
The objective of this study was to examine the relative contribution of factors explaining ethnic health inequalities (EHI) in poor self-reported health (pSRH) and limiting long-standing illness (LLI) between Health Survey for England (HSE) participants.
Using HSE 2003–2006 data, the odds of reporting pSRH or of LLI in 8573 Bangladeshi, Black African, Black Caribbean, Chinese, Indian, Irish and Pakistani participants was compared with 28 470 White British participants. The effects of demographics, socioeconomic position (SEP), psychosocial variables, community characteristics and health behaviours were assessed using separate regression models.
Compared with White British men, age-adjusted odds (OR, 95% CI) of pSRH were higher among Bangladeshi (2.05, 1.34 to 3.14), Pakistani (1.77, 1.34 to 2.33) and Black Caribbean (1.60, 1.18 to 2.18) men, but these became non-significant following adjustment for SEP and health behaviours. Unlike Black Caribbean men, Black African men exhibited a lower risk of age-adjusted pSRH (0.66, 0.43 to 1.00 (p=0.048)) and LLI (0.45, 0.28 to 0.72), which were significant in every model. Likewise, Chinese men had a lower risk of age-adjusted pSRH (0.51, 0.26 to 1.00 (p=0.048)) and LLI (0.22, 0.10 to 0.48). Except in Black Caribbean women, adjustment for SEP rendered raised age-adjusted associations for pSRH among Pakistani (2.51, 1.99 to 3.17), Bangladeshi (1.85, 1.08 to 3.16), Black Caribbean (1.78, 1.44 to 2.21) and Indian women (1.37, 1.13 to 1.66) insignificant. Adjustment for health behaviours had the largest effect for South Asian women. By contrast, Irish women reported better age-adjusted SRH (0.70, 1.51 to 0.96).
SEP and health behaviours were major contributors explaining EHI. Policies to improve health equity need to monitor these pathways and be informed by them.
It is well established that there are ethnic inequalities in health in the UK; however, such inequalities in later life remain a relatively under-researched area. This paper explores ethnic inequalities in health among older people in the UK, controlling for social and economic disadvantages.
This paper analyses the first wave (2009–2011) of Understanding Society to examine differentials in the health of older persons aged 60 years and over. 2 health outcomes are explored: the extent to which one's health limits the ability to undertake typical activities and self-rated health. Logistic regression models are used to control for a range of other factors, including income and deprivation.
After controlling for social and economic disadvantage, black and minority ethnic (BME) elders are still more likely than white British elders to report limiting health and poor self-rated health. The ‘health disadvantage’ appears most marked among BME elders of South Asian origin, with Pakistani elders exhibiting the poorest health outcomes. Length of time resident in the UK does not have a direct impact on health in models for both genders, but is marginally significant for women.
Older people from ethnic minorities report poorer health outcomes even after controlling for social and economic disadvantages. This result reflects the complexity of health inequalities among different ethnic groups in the UK, and the need to develop health policies which take into account differences in social and economic resources between different ethnic groups.
Neighbourhood deprivation has been associated with poor health. The evidence for social causation, however, remains scarce because selective residential mobility may also create neighbourhood differences. The present study examined whether individuals had poorer health when they were living in a deprived neighbourhood compared to another time when the same individuals were living in a less deprived neighbourhood.
Participants were from the British Household Panel Survey prospective cohort study with 18 annual measurements of residential location and self-reported health outcomes between 1991 and 2009 (n=137 884 person-observations of 17 001 persons in England). Neighbourhood deprivation was assessed concurrently with health outcomes using the Index of Multiple Deprivation at the geographically detailed level of Lower Layer Super Output Areas. The main analyses were replicated in subsamples from Scotland (n=4897) and Wales (n=4442). Multilevel regression was used to separate within-individual and between-individuals associations.
Neighbourhood deprivation was associated with poorer self-rated health, and with higher psychological distress, functional health limitations and number of health problems. These associations were almost exclusively due to differences between different individuals rather than within-individual variations related to different neighbourhoods. By contrast, poorer health was associated with lower odds of moving to less deprived neighbourhoods among movers. The analysis was limited by the restricted within-individual variation and measurement imprecision of neighbourhood deprivation.
Individuals living in deprived neighbourhoods have poorer health, but it appears that neighbourhood deprivation is not causing poorer health of adults. Instead, neighbourhood health differentials may reflect the more fundamental social inequalities that determine health and ability to move between deprived and non-deprived neighbourhoods.
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