Systematic review of general burden of disease studies using disability-adjusted life years

Objective

To systematically review the methodology of general burden of disease studies. Three key questions were addressed: 1) what was the quality of the data, 2) which methodological choices were made to calculate disability adjusted life years (DALYs), and 3) were uncertainty and risk factor analyses performed? Furthermore, DALY outcomes of the included studies were compared.

Methods

Burden of disease studies (1990 to 2011) in international peer-reviewed journals and in grey literature were identified with main inclusion criteria being multiple-cause studies that quantified the burden of disease as the sum of the burden of all distinct diseases expressed in DALYs. Electronic database searches included Medline (PubMed), EMBASE, and Web of Science. Studies were collated by study population, design, methods used to measure mortality and morbidity, risk factor analyses, and evaluation of results.

Results

Thirty-one studies met the inclusion criteria of our review. Overall, studies followed the Global Burden of Disease (GBD) approach. However, considerable variation existed in disability weights, discounting, age-weighting, and adjustments for uncertainty. Few studies reported whether mortality data were corrected for missing data or underreporting. Comparison with the GBD DALY outcomes by country revealed that for some studies DALY estimates were of similar magnitude; others reported DALY estimates that were two times higher or lower.

Conclusions

Overcoming “error” variation due to the use of different methodologies and low-quality data is a critical priority for advancing burden of disease studies. This can enlarge the detection of true variation in DALY outcomes between populations or over time.

     

Using disability-adjusted life years to assess the burden of disease and injury in Rhode Island

Objectives

Disability-adjusted life years (DALYs) measure the burden of disease and injury in a population. We tested the feasibility of calculating DALYs to assess the burden of disease and injury in Rhode Island (RI).

Methods

We computed DALYs for the 2008 RI population using methods developed by the World Health Organization, Harvard University, and the World Bank. DALYs are a composite measure that sum years of life lost (YLLs) due to premature mortality with years lived with disability (YLDs). We calculated crude mortality, YLLs, YLDs, and DALYs for 90 major health conditions for RI and stratified them by gender and age. Calculations for YLLs and YLDs were based on five-year averages. We compared our results with U.S. and Los Angeles County, California, estimates.

Results

A DALYs ranking produces a different picture of RI''s disease and injury burden than does mortality-based ranking. Of 90 major health conditions assessed for RI, six of the top 10 causes for mortality and DALYs were the same, but were ranked differently: ischemic heart disease, cerebrovascular disease, Alzheimer dementia and other dementias, trachea/bronchus/lung cancer, chronic obstructive pulmonary disease, and diabetes mellitus. These six conditions accounted for 59% of deaths but only 35% of DALYs. Causes and rank orders for DALYs differed between males and females and among age groups.

Conclusions

Including nonfatal health conditions in an assessment of population health provides a different picture than traditional mortality-based assessments. This study demonstrates the feasibility and constraints of using DALYs to assess the burden of disease and injury at the state level.Mortality data have been used traditionally to identify a population''s most important health problems.¹ However, falling death rates often mean people are living longer but with years of illness and disability. Mortality measures provide incomplete information about overall population health, necessitating the development of alternate summary measures.^1,2 The World Health Organization (WHO), Harvard University, and the World Bank introduced disability-adjusted life years (DALYs) in the Global Burden of Disease (GBD) study.^3,4 DALYs reflect the years of life lost (YLLs) to premature death and the years spent in unhealthy states, combining the impacts of mortality and disability.DALYs are a “health gap” measure that represents the gap between the current health status of a population and one in which everyone lives into old age free of disease and injury.^5,6 It includes the impact of usually nonfatal conditions, such as alcohol use, mental disorders, arthritis, and injuries, and provides a different picture of population health than traditional mortality-based assessments.Several studies have implemented DALYs and published disease and injury burden reports for countries and subnational entities, ^1–3,5,7 including for the United States² and for Los Angeles (LA) County, California.³ In this study, we applied DALYs to the Rhode Island (RI) population using the GBD study methods.⁴ We estimated DALYs for major health conditions, compared DALYs results with traditional mortality measures, and assessed the benefits and limitations of estimating DALYs at the state level. To our knowledge, RI is the first U.S. state to attempt the use of DALYs to evaluate the burden of disease and injury at the state level.     

Measuring the burden of disease due to premature mortality using Standard Expected Years of Life Lost (SEYLL) in North Rhine-Westphalia, a Federal State of Germany, in 2005

Aims and subjects

Burden of disease (BoD) estimates are increasingly used in public health for assessing population health. Disability Adjusted Life Years (DALYs)—a summary measure frequently used in BoD studies—sum up the impact on health due to premature death and non-fatal health outcomes and allow for comprehensive and comparable assessments. To provide first estimates on the burden of disease in North Rhine-Westphalia (NRW), we calculated the burden due to premature death using Standard Expected Years of Life Lost (SEYLL), which is one of the two components of DALYs.

Materials and methods

Methods provided by the World Health Organisation (WHO) and developed for the Global BoD (GBoD) study were used to estimate SEYLL in NRW in 2005. We used administrative death and cause of death statistics provided by local authorities.

Results

In 2005, the total burden of disease due to premature death was 1,774,926 SEYLLs. According to the GBoD disease categories, non-communicable (group II) diseases accounted for 89.1% of the burden. Communicable, maternal, perinatal and nutritional (group I) conditions contributed to 5.6% and injuries (group III conditions) to 5.3% of the total burden. The three leading single causes of the burden of disease due to premature death were ischaemic heart diseases, lung cancers and cerebrovascular diseases, together accounting for 558,785 SEYLLs (32%).

Conclusion

First estimates of the burden of disease were feasible for NRW by use of WHO tools and administrative data. The findings of our study are consistent with WHO GBoD estimates and studies performed for other high-income countries. Our SEYLL results usefully complement the available health statistics highlighting diseases and injuries leading to death at an early age of life. However, our estimates are restricted to the impact of premature death and do not provide information on non-fatal health outcomes. Thus, future work should target estimates of the Years of Life Lost due to Disability (YLD) to provide a comprehensive assessment of the burden of disease in NRW.     

Assessing the burden of disease and injury in Los Angeles County using disability-adjusted life years

OBJECTIVE: This study was designed to assess the burden of disease and injury in the Los Angeles County population using Disability-Adjusted Life Years (DALYs), a composite measure of premature mortality and disability that equates to years of healthy life lost. METHODS: DALYs, stratified by gender and race/ethnicity, were calculated for 105 health conditions and aggregated groups of conditions for the Los Angeles County population for 1997. Years of Life Lost (YLLs) were calculated using 1997 county mortality statistics and published life tables. Years Lived with Disability (YLDs) were derived from age- and gender-specific disease incidence and disability data from the Global Burden of Disease Study. RESULTS: DALYs produced a substantially different ranking of disease and injury burden than did mortality rates alone. The leading five causes of DALYs for males in the county were ischemic heart disease, violence, alcohol dependence, drug overdose and other intoxications, and depression. For females, the leading five causes were ischemic heart disease, alcohol dependence, diabetes, depression, and osteoarthritis. Differences in the rank order were also observed by race/ethnicity. The age-adjusted rate of DALYs for all health conditions combined was highest in African Americans (190 per 1,000), followed by American Indians (149 per 1,000), whites (113 per 1,000), Latinos (94 per 1,000), and Asians/Pacific Islanders (77 per 1,000). CONCLUSIONS: The DALYs measure is a promising new tool to improve the capacity of local health departments and other health agencies to assess population health and establish an evidence base for public health decisions.     

Years of life lost to prison: racial and gender gradients in the United States of America

Background

The United States has the highest rate of imprisonment of any country in the world. African Americans and Hispanics comprise a disproportionately large share of the prison population. We applied a "prison life expectancy" to specify differences in exposure to imprisonment by gender and race at the population level.

Methods

The impact of imprisonment on life expectancy in the United States was measured for each year from 2000 to 2004, and then averaged. Using the Sullivan method, prison and prison-free life expectancies were estimated by dividing the years lived in each age range of the life table into these two states using prevalence of imprisonment by gender and race.

Results

African American males can expect to spend on average 3.09 years in prison or jail over their lifetime and Hispanic and Caucasian males can spend on average 1.06 and 0.50 years, respectively. African American females, on the other hand, can expect to spend on average 0.23 years in these institutions and Hispanic and Caucasian females can expect to spend on average 0.09 and 0.05 years, respectively. Overall, African American males, the highest risk group, can expect to spend on average 61.80 times longer in prison or jail as compared to Caucasian women, the lowest risk group.

Conclusion

There are clear gender and racial gradients in life expectancy spent in prison in the United States. Future research needs to examine how current imprisonment practice in the United States may influence population health and health disparities.     

National disability-adjusted life years (DALYs) for 257 diseases and injuries in Ethiopia, 1990–2015: findings from the global burden of disease study 2015

Background

Disability-adjusted life years (DALYs) provide a summary measure of health and can be a critical input to guide health systems, investments, and priority-setting in Ethiopia. We aimed to determine the leading causes of premature mortality and disability using DALYs and describe the relative burden of disease and injuries in Ethiopia.

Methods

We used results from the Global Burden of Diseases, Injuries, and Risk Factors Study 2015 (GBD 2015) for non-fatal disease burden, cause-specific mortality, and all-cause mortality to derive age-standardized DALYs by sex for Ethiopia for each year. We calculated DALYs by summing years of life lost due to premature mortality (YLLs) and years lived with disability (YLDs) for each age group and sex. Causes of death by age, sex, and year were measured mainly using Causes of Death Ensemble modeling. To estimate YLDs, a Bayesian meta-regression method was used. We reported DALY rates per 100,000 for communicable, maternal, neonatal, and nutritional (CMNN) disorders, non-communicable diseases, and injuries, with 95% uncertainty intervals (UI) for Ethiopia.

Results

Non-communicable diseases caused 23,118.1 (95% UI, 17,124.4–30,579.6), CMNN disorders resulted in 20,200.7 (95% UI, 16,532.2–24,917.9), and injuries caused 3781 (95% UI, 2642.9–5500.6) age-standardized DALYs per 100,000 in Ethiopia in 2015. Lower respiratory infections, diarrheal diseases, and tuberculosis were the top three leading causes of DALYs in 2015, accounting for 2998 (95% UI, 2173.7–4029), 2592.5 (95% UI, 1850.7–3495.1), and 2562.9 (95% UI, 1466.1–4220.7) DALYs per 100,000, respectively. Ischemic heart disease and cerebrovascular disease were the fourth and fifth leading causes of age-standardized DALYs, with rates of 2535.7 (95% UI, 1603.7–3843.2) and 2159.9 (95% UI, 1369.7–3216.3) per 100,000, respectively. The following causes showed a reduction of 60% or more over the last 25 years: lower respiratory infections, diarrheal diseases, tuberculosis, neonatal encephalopathy, preterm birth complications, meningitis, malaria, protein-energy malnutrition, iron-deficiency anemia, measles, war and legal intervention, and maternal hemorrhage.

Conclusions

Ethiopia has been successful in reducing age-standardized DALYs related to most communicable, maternal, neonatal, and nutritional deficiency diseases in the last 25 years, causing a major ranking shift to types of non-communicable disease. Lower respiratory infections, diarrheal disease, and tuberculosis continue to be leading causes of premature death, despite major declines in burden. Non-communicable diseases also showed reductions as premature mortality declined; however, disability outcomes for these causes did not show declines. Recently developed non-communicable disease strategies may need to be amended to focus on cardiovascular diseases, cancer, diabetes, and major depressive disorders. Increasing trends of disabilities due to neonatal encephalopathy, preterm birth complications, and neonatal disorders should be emphasized in the national newborn survival strategy. Generating quality data should be a priority through the development of new initiatives such as vital events registration, surveillance programs, and surveys to address gaps in data. Measuring disease burden at subnational regional state levels and identifying variations with urban and rural population health should be conducted to support health policy in Ethiopia.

     

Sex differences and risk factors for diabetes mellitus - an international study from 193 countries

Background

Increases in overweight and obesity among youths have resulted in the diagnosis of Type 2 diabetes mellitus (T2DM) at earlier ages. The impact of lifestyle-related factors has been implicated; however, its relation to morbidity and mortality and sex differences remain unclear. We aimed to document the changes in risk factors and sex differences associated with T2DM-related morbidity and mortality during 1995–2015.

Method

We used mortality rates and morbidity estimates from the Global Burden of Diseases Study 2016 using Disability-Adjusted Life Years (DALY). Multiple linear regression analyses were used to determine associations between T2DM-related mortality and related risk factors. DALYs were grouped by country income level, and were stratified by sex.

Results

Increases in mortality were observed for both sexes, and females tended to have higher mortality rates per 100,000 persons. Body mass index (BMI) continued to be the leading risk factor for T2DM-related mortality, and increases in BMI were more common in low- and middle-income countries (LIC and MIC). Low physical activity was strongly associated with mortality rates, followed by dietary risks and smoking (2.4; 1.4; 0.8 per 100,000 persons, respectively). Similar patterns were observed after adjustments for income level, sex, and age. DALYs continued to show increasing trends across all income levels during 1995–2015 (high-income (HIC):16%; MIC: 36%; LIC: 12%). Stratification by sex showed similar results; males had fewer T2DM DALYs than females, though a greater increase was observed among males.

Conclusion

Overall, T2DM related mortality was higher among females. Compared to in HIC, there appeared to be a considerable increase in the burden of T2DM in MIC and LIC, where BMI is the leading risk factor for T2DM-related mortality. Prevention programs should emphasize related risk factors according to the existing standard of care.

     

Towards estimating the burden of disease attributable to second-hand smoke exposure in Polish children

Objectives

To estimate the burden of disease attributable to second-hand smoke (SHS) exposure in Polish children in terms of the number of deaths and disability adjusted life years (DALYs) due to lower respiratory infections (LRI), otitis media (OM), asthma, low birth weight (LBW) and sudden infant death syndrome (SIDS).

Materials and Methods

Estimates of SHS exposure in children and in pregnant women as well as information concerning maternal smoking were derived from a national survey, the Global Youth Tobacco Survey, and the Global Adult Tobacco Survey in Poland. Mortality data (LRI, OM, asthma, and SIDS), the number of cases (LBW), and population data were obtained from national statistics (year 2010), and DALYs came from the WHO (year 2004). The burden of disease due to SHS was calculated by multiplying the total burden of a specific health outcome (deaths or DALYs) by a population attributable fraction.

Results

Using two estimates of SHS exposure in children: 48% and 60%, at least 12 and 14 deaths from LRI in children aged up to 2 years were attributed to SHS, for the two exposure scenarios, respectively. The highest burden of DALYs was for asthma in children aged up to 15 years: 2412, and 2970 DALYs, for the two exposure scenarios, respectively. For LRI, 419 and 500 DALYs, and for OM, 61 and 77 DALYs were attributed to SHS, for the two exposure scenarios, respectively. Between 13% and 27% of SIDS cases and between 3% and 16% of the cases of LBW at term were attributed to SHS exposure.

Conclusions

This study provides a conservative estimate of the public health impact of SHS exposure on Polish children. Lack of comprehensive, up to date health data concerning children, as well as lack of measures that would best reflect actual SHS exposure are major limitations of the study, likely to underestimate the burden of disease.     

Impact of measles national vaccination coverage on burden of measles across 29 Member States of the European Union and European Economic Area, 2006–2011

Background

Challenges in reaching good vaccination coverage against measles emerged in several European Union/European Economic Area Member States (EU/EEA MS) leading to progressive accumulation of susceptible individuals and outbreaks. The Burden of Communicable Diseases in Europe (BCoDE) project developed a methodology for measuring the burden of communicable diseases expressed in Disability-Adjusted Life Years (DALYs) in the EU/EEA MS. The aim of this study was to compare national vaccination coverage and burden of measles across EU/EEA MS.

Methods

Country-specific data on measles national vaccination coverage 2006–2011 from 29 EU/EEA MS (MCV1) were retrieved from Centralized Information System for Infectious Diseases (CISID). DALYs were calculated for each country separately using a disease progression model with a single input parameter (annual measles incidence, adjusted for under-estimation). A software application was used to compute estimated DALYs according to country-specific and year-specific population age-distributions (data retrieved from Eurostat). Log-linear mixed-effect regression modeling approach was used to investigate a linear relation between natural logarithm-transformed DALYs and coverage.

Results

The reported annual vaccination coverage ranged from 72.6% to 100%. The estimated national annual burden ranged from 0 to 30.6 DALYs/100,000. Adjusting for year, there was a significant negative relationship between coverage and burden. For a given country there was a decrease in log-transformed DALYs/100,000 of 0.025 (95% confidence interval: −0.047 to −0.003) for every percentage increase in vaccination coverage. The largest effect of calendar time on estimated burden of measles was observed for the year 2011, the smallest was for the year 2007.

Conclusions

This study shows that the degree of success of national measles vaccination programs, when measured by the coverage obtained, is significantly associated with overall impact of measles across EU/EEA MS. In EU/EEA MS each percentage point increase in national vaccination coverage seems to lead to early significant reduction of overall burden of measles.     

Impact of HPV vaccination: health gains in the Italian female population

Background

Human papillomavirus (HPV) is the leading cause of cervical cancer and other malignant and benign neoplastic lesions. HPV vaccination has three potential goals: to prevent transmission, infection, and disease. At present, there are no available data about health consequences of HPV immunization in Italy. The aim of this study is to evaluate the effect of current HPV vaccination strategy in Italy.

Methods

A multistate morbidity-mortality model was developed to estimate the infection process in a theoretical cohort of Italian women. The Markov process considered nine health states (health, anogenital warts, grade 1 and grade 2/3 cervical intraepithelial neoplasia, cervical cancer, anal cancer, death due to cervical cancer, anal cancer and other causes), and 26 transition probabilities for each age group. The model was informed with the available data in national and international literature. Effectiveness of immunization was assumed considering a literature review pertaining to models and vaccination coverage rates observed in Italy. Life expectancy (e_x), Quality-Adjusted Life Years (QALYs), Disability-Adjusted Life Years (DALYs), and attributable risk (AR) were estimated for no intervention (cervical cancer screening) and vaccination strategies scenarios.

Results

The model showed that in a cohort of 100,000 Italian women the e₀ is equal to 83.1 years. With current HPV vaccination strategy the e₀ achieves 83.2 (+0.1) years. When HPV-related diseases are considered altogether, the QALYs increase from 82.7 to 82.9 (+0.2 QALYs) with no intervention and vaccination strategies respectively. DALYs decrease by 0.6 due to vaccination. Finally, AR is equal to 93 and 265 cases per 100,000 women in population and not vaccinated, respectively.

Conclusion

When mortality due to cervical cancer is considered, HPV vaccination seems to have a low impact on health unit gains in the Italian female population. Conversely, when several HPV-related and cancer morbidity conditions are included, the effect of vaccination becomes quite remarkable.

     

Estimating distributions of health state severity for the global burden of disease study

Background

Many major causes of disability in the Global Burden of Disease (GBD) study present with a range of severity, and for most causes finding population distributions of severity can be difficult due to issues of sparse data, inconsistent measurement, and need to account for comorbidities. We developed an indirect approach to obtain severity distributions empirically from survey data.

Methods

Individual-level data were used from three large population surveys from the US and Australia that included self-reported prevalence of major diseases and injuries as well as generic health status assessments using the 12-Item Short Form Health Survey (SF-12). We developed a mapping function from SF-12 scores to GBD disability weights. Mapped scores for each individual respondent were regressed against the reported diseases and injuries using a mixed-effects model with a logit-transformed response variable. The regression outputs were used to predict comorbidity-corrected health-state weights for the group of individuals with each condition. The distribution of these comorbidity-corrected weights were used to estimate the fraction of individuals with each condition falling into different GBD severity categories, including asymptomatic (implying disability weight of zero).

Results

After correcting for comorbid conditions, all causes analyzed had some proportion of the population in the asymptomatic category. For less severe conditions, such as alopecia areata, we estimated that 44.1 % [95 % CI: 38.7 %-49.4 %] were asymptomatic while 28.3 % [26.8 %-29.6 %] of anxiety disorders had asymptomatic cases. For 152 conditions, full distributions of severity were estimated. For anxiety disorders for example, we estimated the mean population proportions in the mild, moderate, and severe states to be 40.9 %, 18.5 %, and 12.3 % respectively. Thirty-seven of the analyzed conditions were used in the GBD 2013 estimates and are reported here.

Conclusion

There is large heterogeneity in the disabling severity of conditions among individuals. The GBD 2013 approach allows explicit accounting for this heterogeneity in GBD estimates. Existing survey data that have collected health status together with information on the presence of a series of comorbid conditions can be used to fill critical gaps in the information on condition severity while correcting for effects of comorbidity. Our ability to make these estimates may be limited by lack of geographic variation in the data and by the current methodology for disability weights, which implies that severity must be binned rather than expressed in as a full distribution. Future country-specific data collection efforts will be needed to advance this research.

     

Interpersonal discrimination and health-related quality of life among black and white men and women in the United States

Objective

We assessed associations between discrimination and health-related quality of life among black and white men and women in the United States.

Methods

We examined data from the National Health Measurement Study, a nationally representative sample of 3,648 adults aged 35–89 in the non-institutionalized US population. These data include self-reported lifetime and everyday discrimination as well as several health utility indexes (EQ-5D, HUI3, and SF-6D). Multiple regression was used to compute mean health utility scores adjusted for age, income, education, and chronic diseases for each race-by-gender subgroup.

Results

Black men and women reported more discrimination compared to white men and women. Health utility tended to be worse as reported discrimination increased. With a few exceptions, differences between mean health utility scores in the lowest and highest discrimination groups exceeded the 0.03 difference generally considered to be a clinically significant difference.

Conclusions

Persons who experienced discrimination tended to score lower on health utility measures. The study also revealed a complex relationship between experiences of discrimination and race and gender. Because of these differential social and demographic relationships caution is urged when interpreting self-rated health measures in research, clinical, and policy settings.     

Erratum to: Interpersonal discrimination and health-related quality of life among black and white men and women in the United States

Objective

We assessed associations between discrimination and health-related quality of life among black and white men and women in the United States.

Methods

We examined data from the National Health Measurement Study, a nationally representative sample of 3,648 adults aged 35–89 in the non-institutionalized US population. These data include self-reported lifetime and everyday discrimination as well as several health utility indexes (EQ-5D, HUI3, and SF-6D). Multiple regression was used to compute mean health utility scores adjusted for age, income, education, and chronic diseases for each race-by-gender subgroup.

Results

Black men and women reported more discrimination than white men and women. Health utility tended to be worse as reported discrimination increased. With a few exceptions, differences between mean health utility scores in the lowest and highest discrimination groups exceeded the 0.03 difference generally considered to be a clinically significant difference.

Conclusions

Persons who experienced discrimination tended to score lower on health utility measures. The study also revealed a complex relationship between experiences of discrimination and race and gender. Because of these differential social and demographic relationships caution is urged when interpreting self-rated health measures in research, clinical, and policy settings.     

State Quality-Adjusted Life Expectancy for U.S. adults from 1993 to 2008

Purpose

Quality-Adjusted Life Expectancy (QALE) is a summary measure of mortality and health-related quality of life (HRQOL) across different stages of life. This study developed a method to calculate state-level QALE for U.S. adults.

Methods

Population HRQOL data came from the Behavioral Risk Factor Surveillance System (BRFSS). Using age-specific deaths from the Mortality Summary File, this study constructed life tables to estimate life expectancy and QALE for all 50 States and the District of Columbia by sex and race from 1993 through 2008.

Results

From 1993 to 2008, the QALE of an U.S. adult at 18 years old had increased from 51.2 to 52.3 years. In 2006, states with the highest QALE were Hawaii (56.2), Minnesota (55.2), North Dakota (54.9), Iowa (54.7), and Nebraska (54.4), while the states with the lowest QALE were West Virginia (47.1), Mississippi (48.2), Alabama (48.5), Kentucky (48.5), and Oklahoma (49.0).

Conclusions

Because population HRQOL values and mortality statistics are available from existing and publicly accessible data and because formulas for the calculation of QALE and its standard error are easy to incorporate in a spreadsheet, State and local Health Departments can calculate QALE as a routine surveillance measurement for tracking their population??s health over time.     

Dropping out of school and chronic disease in the United States

Aim

Despite links between education and health, it is unclear to what extent dropping out of school is associated with major chronic health conditions.

Subjects and Methods

Data from the 2006–2010 United States National Survey on Drug Use and Health (NSDUH) was employed and examined associations between dropping out of school and major chronic health conditions among individuals 18 years or older (N?=?189,896).

Results

Analyses show that dropout status is associated with increased odds of reporting a major chronic health condition; however, the effect is stronger for Whites and African-Americans than Hispanics.

Conclusions

Study findings suggest that one important strategy to prevent and reduce health disparities is increased education in general including high school completion. Policies and practices that reduce dropout may in turn impact the prevalence of chronic disease.     

The fraction of disability pensions attributable to smoking and obesity. Results from a 15-year follow-up study

Objective

The aim of this study was to estimate the fraction of permanent disability pensions among the working population in Denmark that can be attributed to differences in health behaviour.

Methods

A total of 8,287 employees were interviewed regarding health behaviour, work environment and general health. They were followed in a national register on granted disability pensions. Cox regression analysis was performed, and attributable fractions were calculated.

Results

The analysis showed a 48% and 79% risk increase for female heavy and moderate smokers, respectively (attributable fraction 19.7%), and a 74% risk increase for BMI?<?18.5 (attributable fraction 6.1%). Male heavy smokers had a 67% excess risk of disability pension (attributable fraction 15.7%).

Conclusions

Smoking was an independent disability pension predictor regardless of age, work environment factors and baseline general health status. Workplace-based smoking cessation could substantially decrease permanent disability retirement from work.     

Exploring differences in prevalence of diagnosed,measured and undiagnosed hypertension: the case of Ireland and the United States of America

Objectives

To: (1) compare prevalence of diagnosed, measured, total and undiagnosed hypertension among late middle-aged adults in the United States of America and Ireland; (2) identify the most important predictors of hypertension and compare them across the two countries; (3) investigate whether cross-national differences in prevalence rates are explained by country differences in behavioural risk factors.

Methods

We use data from the 2008 and 2010 waves of the Health and Retirement Study (n = 1,938) and the first wave (2009/2011) of The Irish Longitudinal Study on Ageing (n = 1,455). We employ probit models to determine whether individual attributes, socioeconomic characteristics and behavioural health factors, including smoking, alcohol consumption and obesity, are associated with hypertension. We do not consider whether respondents are on antihypertensive medication.

Results

Prevalence of diagnosed hypertension is higher in the United States of America (48.6 versus 32.4 %). Prevalence of undiagnosed hypertension is higher in Ireland (41.2 versus 19.7 %). Little of the difference in prevalence rates is explained by country differences in behavioural risk factors.

Conclusions

A greater focus on prevention of high blood pressure is necessary in Ireland.     

The burden of disease and injury in Iran 2003

Background  

The objective of this study was to estimate the burden of disease and injury in Iran for the year 2003, using Disability-Adjusted Life Years (DALYs) at the national level and for six selected provinces.