scholarly journals Population attributable fractions for modifiable risk factors of dementia in cognitively normal and MCI populations: Data from two countries

2021 ◽  
Vol 17 (S10) ◽  
Author(s):  
Sandra Wezeman ◽  
Jeroen F Uleman ◽  
Geeske Peeters ◽  
Eleni Margioti ◽  
Nikolaos Scarmeas ◽  
...  
2021 ◽  
Author(s):  
Wyllians Vendramini Borelli ◽  
Vanessa Bielefeldt Leotti ◽  
Matheus Zschornack Strelow ◽  
Márcia Lorena Fagundes Chaves ◽  
Raphael Machado Castilhos

2016 ◽  
Vol 36 (4) ◽  
pp. 76-86 ◽  
Author(s):  
H. Krueger ◽  
J.M. Koot ◽  
D.P. Rasali ◽  
S. E. Gustin ◽  
M. Pennock

Introduction Prevalence rates of excess weight, tobacco smoking and physical inactivity vary substantially by geographical region within British Columbia (B.C.). The purpose of this study is to determine the potential reduction in economic burden in B.C. if all regions in the province achieved prevalence rates of these three risk factors equivalent to those of the region with the lowest rates. Methods We used a previously developed approach based on population-attributable fractions to estimate the economic burden associated with the various risk factors. Sexspecific relative risk and age/sex-specific prevalence data was used in the modelling. Results The annual economic burden attributable to the three risk factors in B.C. was about $5.6 billion in 2013, with a higher proportion of this total attributable to excess weight ($2.6 billion) than to tobacco smoking ($2.0 billion). While B.C. has lower prevalence rates of the risk factors than any other Canadian province, there is significant variation within the province. If each region in the province were to achieve the best prevalence rates for the three risk factors, then $1.4 billion (24% of the $5.6 billion) in economic burden could be avoided annually. Conclusion There are notable disparities in the prevalence of each risk factor across health regions within B.C., which were mirrored in each region’s attributable economic burden. A variety of social, environmental and economic factors likely drive some of this geographical variation and these underlying factors should be considered when developing prevention programs.


2017 ◽  
Vol 61 (1) ◽  
pp. 43-53 ◽  
Author(s):  
Miguel de Araújo Nobre ◽  
António Mano Azul ◽  
Evangelista Rocha ◽  
Paulo Maló ◽  
Francisco Salvado

2019 ◽  
Vol 27 ◽  
pp. S271-S272
Author(s):  
J. Runhaar ◽  
M. Hall ◽  
D. Schiphof ◽  
F. Saberi Hosnijeh ◽  
J. van Meurs ◽  
...  

2014 ◽  
Vol 143 (5) ◽  
pp. 1020-1028 ◽  
Author(s):  
W. X. YAN ◽  
Y. DAI ◽  
Y. J. ZHOU ◽  
H. LIU ◽  
S. G. DUAN ◽  
...  

SUMMARYTo determine risk factors for sporadicVibrio parahaemolyticusgastroenteritis, we conducted a population-based case-control study in sentinel hospital surveillance areas of Shanghai and Jiangsu province, China. Seventy-one patients with diarrhoea and confirmedV. parahaemolyticusinfections were enrolled, and they were matched with 142 controls for gender, age and residential area. From the multivariable analysis,V. parahaemolyticusinfections were associated with antibiotics taken during the 4 weeks prior to illness [odds ratio (OR) 8·1, 95% confidence interval (CI) 1·2–56·4)], frequent eating out (OR 3·3, 95% CI 1·1–10·1), and shellfish consumption (OR 3·2, 95% CI 1·0–9·9), with population-attributable fractions of 0·09, 0·25, and 0·14, respectively. Protective factors included keeping the aquatic products refrigerated (OR 0·4, 95% CI 0·1–0·9) and pork consumption (OR 0·2, 95% CI 0·1–0·8). Further study of the association ofV. parahaemolyticusgastroenteritis with prior antibiotic use and shellfish consumption is needed.


2021 ◽  
Vol 9 ◽  
Author(s):  
Fang Gu ◽  
Siliang Zhou ◽  
Ke Lou ◽  
Rui Deng ◽  
Xingxiu Li ◽  
...  

Objectives: To assess the relationship between modifiable lifestyle factors and risk of overweight/obesity in Chinese students, and to evaluate the predicting prevalence of overweight if the lifestyle risk factors were removed.Methods: A cross-sectional survey was conducted among 40,141 students in grade three and above (8–24yrs) in 2019 in Zhejiang Province, China. Physical examination was performed, and a self-administered questionnaire was used to collect lifestyle information, including dietary behavior, physical activity, TV watching, sleeping, smoking, drinking, and tooth-brushing habits. Logistic regression models were performed to assess the relationship between overweight/obesity and a series of lifestyle factors. Population attributable fractions (PAFs) were used to calculate the predicting prevalence of overweight/obesity if lifestyle risk factors were removed.Results: The prevalence of overweight/obesity of participants was 25.5% (male 32.3%, female 18.1%). Overweight/obesity were associated with adverse lifestyle factors, such as watch TV ≥1 h/day (OR = 1.14, 95% CI: 1.11–1.22), insufficient sleep (OR = 1.14, 95% CI: 1.11–1.22), and irregular toothbrushing habits (OR = 1.19, 95% CI: 1.01–1.39). Based on the calculated PAFs, the predicted prevalence of overweight/obesity would decline moderately if lifestyle factors were modified, with the magnitudes of decrease vary by sex, age and residence. Generally, a larger reduction was estimated if the sleeping time was increased and TV time was reduced, with the prevalence of overweight/obesity decreased by 1.1% (95% CI: 0.7, 1.5%) and 0.9% (95% CI: 0.6, 1.2%), respectively.Conclusions: Predicted prevalence of overweight/ obesity in Chinese students may decrease if modifiable lifestyle risk factors were removed. The attributable risk for obesity of lifestyle behaviors varied in age, sex and residence groups. The findings of this study may provide insights for planning and optimizing future obesity intervention endeavors.


2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S507-S508
Author(s):  
Jacob Bodilsen ◽  
Michael Dalager-Pedersen ◽  
Diederik van de Beek ◽  
Matthijs C Brouwer ◽  
Henrik Nielsen

Abstract Background Knowledge of risk factors for brain abscess is limited and relies on single-center cohorts without control groups. Methods We accessed nationwide medical registries to conduct a population-based nested case–control study of risk factors for brain abscess. We applied risk set sampling for selection of population controls (1:10) individually matched by age, sex, and area of residence. Conditional logistic regression was used to compute adjusted odds ratios (aOR) with 95% confidence intervals (CIs). Next, population attributable fractions were calculated. Results We identified 1,384 brain abscess patients in Denmark from 1982 through 2016 and 13,839 matched population controls. The median age was 50 years (interquartile range 33–63) and 37% were female. Cases often had a Charlson comorbidity score>2 (16%) compared with controls (3%). Adjusted ORs were: head trauma 2.15 (1.72–2.70), neurosurgery 19.3 (14.3–26.0), dental infection 4.61 (3.39–6.26) or surgery 2.57 (1.71–3.84), ear-nose-throat infection 3.81 (3.11–4.67) or surgery 2.85 (2.21–3.70), congenital heart disease 15.6 (9.57–25.4), diabetes mellitus 1.74 (1.33–2.29), alcohol abuse 2.22 (1.58–3.11), liver disease 2.37 (1.53–3.68), kidney disease 2.04 (1.30–3.20), and lung abscess or bronchiectasis 8.15 (3.59–18.5). The aORs were 4.12 (3.37–5.04) and 8.77 (5.66–13.6) for solid and hematological cancer, 12.0 (6.13–23.7) for HIV, and 5.71 (4.22–7.75) for immuno-modulating treatments. Risks were twice as high when risk factors were observed within 5 years before brain abscess. Population attributable fractions showed that neurosurgery (12%), solid cancer (11%), ear-nose-throat infections (7%) and immuno-modulating treatments (5%) were substantial contributors to occurrence of brain abscess. Conclusion Important risk factors included neurosurgery, cancer, ear-nose-throat infections and immuno-modulating treatments Disclosures All authors: No reported disclosures.


2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Michelle Gourley ◽  

Abstract Background The Australian Burden of Disease Study 2018 estimated the burden due to 219 diseases and injuries and 40 risk factors (attributable burden). Attributable burden is the amount of health loss that would be prevented if exposure to the risk factor had been avoided or reduced to the lowest possible exposure. Methods Attributable burden was estimated for 2003, 2011, 2015 and 2018 using comparative risk assessment methodology. Estimates of exposure to risk factors were sourced from Australian survey data and used with global measures of effect size to estimate population attributable fractions (PAFs). Results In 2018, 37% of the burden of disease in Australia could have been prevented by reducing or avoiding exposure to the modifiable risk factors included in the study. The leading five risk factors contributing to total burden were: tobacco use (8.6%), overweight & obesity (8.4%), dietary risks (5.4%), high blood pressure (5.1%) and alcohol use (4.5%). While tobacco use remains the leading risk factor causing burden, the gap between tobacco use and overweight & obesity has almost closed. The burden attributable to most risk factors was higher in males than in females. The lowest socioeconomic group experienced greater burden compared with the highest group for all risk factors. Conclusions Addressing modifiable risk factors could prevent up to 37% of disease burden in Australia. Key messages In 2018, 37% of the burden of disease could have been prevented. Tobacco use and overweight & obesity were the leading risk factors.


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