Trends in alcohol-related mortality by educational attainment in the U.S., 2000-2017

More schooling is associated with lower hemoglobin A1c at the high-risk tail of the distribution: an unconditional quantile regression analysis

BACKGROUND

Risk of diabetes increases exponentially with higher levels of glycosylated hemoglobin (HbA1c). Education is inversely associated with average HbA1c, however, differential associations between education and HbA1c across the HbA1c distribution have not been evaluated.

METHODS

Health and Retirement Study data (N = 21,732) was used to evaluate the association between education (linear terms among those with < 12 years and ≥ 12 years of education) and first recorded HbA1c (2003-2016) at the mean using linear regression, and at the 1st-99th quantiles of the marginal outcome distribution using unconditional quantile regressions, controlling for birth year, race and ethnicity, gender, birthplace, parental education, and year of HbA1c measurement.

RESULTS

Mean HbA1c was 5.9%; 16.6% of participants had HbA1c above the diabetes diagnostic threshold of 6.5%. For those with fewer than 12 years of schooling, there was no association between education and HbA1c at the mean or across the quantiles. For those with 12 or more years of schooling, an additional year of education was negatively associated with mean HbA1c (βOLS=-0.02, 95% confidence interval (CI) -0.03,-0.02); a one-year increase in mean education was associated with lower HbA1c across the distribution, but the magnitude was larger at higher quantiles (βq50=-0.02, 95%CI -0.02,-0.01; βq90=-0.06, 95%CI -0.09,-0.04).

CONCLUSIONS

Educational attainment is inversely associated with HbA1c among those with 12 or more years of schooling, with larger point estimates for those in the high-risk tail of the HbA1c distribution.

More schooling is associated with lower Hemoglobin A1c at the high-risk tail of the distribution: An unconditional quantile regression analysis

Background

Risk of diabetes increases exponentially with higher levels of glycosylated hemoglobin (HbA1c). Education is inversely associated with average HbA1c, however, differential associations between education and HbA1c across the HbA1c distribution have not been evaluated.

Methods

Health and Retirement Study data (N=21,732) was used to evaluate the association between education (linear terms among those with <12 years and ≥ 12 years of education) and first recorded HbA1c (2003-2016) at the mean using linear regression, and at the 1st-99th quantiles of the marginal outcome distribution using unconditional quantile regressions, controlling for birth year, race and ethnicity, gender, birthplace, parent's education, and year of HbA1c measurement.

Results

Mean HbA1c was 5.9%; 16.6% of participants had HbA1c above the diabetes diagnostic threshold of 6.5%. For those with less than 12 years of schooling, there was no association between education and HbA1c at the mean or across the quantiles. For those with 12 or more years of schooling, an additional year of education was negatively associated with mean HbA1c (bOLS=-0.02, 95% confidence interval (CI) -0.03,-0.02); a one-year increase in mean education was associated with lower HbA1c across the distribution, but the magnitude was larger at higher quantiles (bq50=-0.02, 95%CI -0.02,-0.01; bq90=-0.06, 95%CI -0.09,-0.04).

Conclusions

Educational attainment is inversely associated with HbA1camong those with 12 or more years of schooling, with larger point estimates for those in the high-risk tail of the HbA1c distribution.

Life expectancy and geographic variation in mortality: an observational comparison study of six high-income Anglophone countries

OBJECTIVE

To compare life expectancy levels and within-country geographic variation in life expectancy across six high-income Anglophone countries between 1990 and 2018.

DESIGN

Demographic analysis using aggregated mortality data.

SETTING

Six high-income Anglophone countries (USA, UK, Canada, Australia, Ireland and New Zealand), by sex, including an analysis of subnational geographic inequality in mortality within each country.

POPULATION

Data come from the Human Mortality Database, the WHO Mortality Database and the vital statistics agencies of six high-income Anglophone countries.

MAIN OUTCOME MEASURES

Life expectancy at birth and age 65; age and cause of death contributions to life expectancy differences between countries; index of dissimilarity for within-country geographic variation in mortality.

RESULTS

Among six high-income Anglophone countries, Australia is the clear best performer in life expectancy at birth, leading its peer countries by 1.26-3.95 years for women and by 0.97-4.88 years for men in 2018. While Australians experience lower mortality across the age range, most of their life expectancy advantage accrues between ages 45 and 84. Australia performs particularly well in terms of mortality from external causes (including drug- and alcohol-related deaths), screenable/treatable cancers, cardiovascular disease and influenza/pneumonia and other respiratory diseases compared with other countries. Considering life expectancy differences across geographic regions within each country, Australia tends to experience the lowest levels of inequality, while Ireland, New Zealand and the USA tend to experience the highest levels.

CONCLUSIONS

Australia has achieved the highest life expectancy among Anglophone countries and tends to rank well in international comparisons of life expectancy overall. It serves as a potential model for lower-performing countries to follow to reduce premature mortality and inequalities in life expectancy.

Increase in educational inequalities in alcohol-related mortality in Spain during a period of economic growth

BACKGROUND AND AIMS

Alcohol-related mortality risk is almost always greater in lower than higher socio-economic positions (SEPs). There is little information on the evolution of this SEP gradient and its relationship with the economic cycle. Some results suggest that during economic expansions, there is a hypersensitivity of low-SEP people to harmful drinking. The main objective of this study was to measure the evolution of educational inequality in alcohol-related and non-alcohol related mortality by sex and age group in Spain during 2012-19.

DESIGN, SETTING AND MEASUREMENTS

This is a repeated cross-sectional study. This study includes all residents in Spain aged 25 years and over from 2012 to 2019. (1) We calculated age-standardized mortality rates (ASMRs) from strongly/moderately alcohol-related causes (directly alcohol-attributable, unspecified liver cirrhosis, liver and upper aerodigestive tract cancers and moderately alcohol-related), weakly alcohol-related causes and other causes by educational level. (2) We used age-adjusted relative index of inequality (RII) and slope index of inequality (SII) to measure relative and absolute educational inequality in mortality, respectively. (3) Age-adjusted annual percentage change (APC) was also used to measure linear trends in mortality by educational level. RII, SII and APC were obtained from negative binomial regression.

FINDINGS

Between 2012-15 and 2016-19, economic growth accelerated, the RII in mortality from strongly/moderately alcohol-related causes increased from 2.0 to 2.2 among men and from 1.1 to 1.3 among women, and the SII in deaths/100 000 person-years from 181.4 to 190.9 among men and from 18.9 to 46.5 among women. It also increased relative and absolute inequality in mortality from weakly alcohol-related and other causes of death in both men and women. These increases in inequality were due primarily to a flattening or even reversal of the downward mortality trend among low- and medium-educated people.

CONCLUSIONS

During the economic expansion of 2012-19 in Spain, changes in mortality risk from strongly/moderately alcohol-related causes were especially unfavourable among low- and medium-educated people.

Do alcohol policies affect everyone equally? An assessment of the effects of state policies on education-related patterns of alcohol use, 2011-2019

BACKGROUND

Public policies are a powerful tool to change behaviors that may harm population health, but little is known about how state alcohol policies affect different population groups. This study assesses the effects of a comprehensive measure of the state alcohol regulatory environment (the State Alcohol Policy Score or SAPS) on heavy drinking-a risk factor for premature death-on different population groups, defined by levels of educational attainment, then by race/ethnicity, and sex.

METHODS

We pool each state's Behavioral Risk Factor Surveillance Survey (BRFSS) 2011-2019 and use robust Poisson regression analyses that control for individual-level factors, state-level factors (1 year lagged SAPS score for each state, state fixed effects), and year fixed effects to assess the relationship between SAPS and heavy drinking behaviors by education group. Interaction terms test whether education moderates the relationship by race/ethnicity and gender.

RESULTS

SAPS scores increased 2010-2018, but substantial gaps persist between states. A 10 % increase in a state's alcohol policy score is associated with a 2 % lower prevalence in current drinking (APR=0.97, 95 % CI=0.97-0.97, p < 0.0011) although not for those with a high school education or less. A 10 % increase in the SAPS was associated with a 3 % lower prevalence of heavy drinking; interaction terms in models reveal that a 10 % increase in the SAPS was associated with a lower prevalence of heavy drinking among those with less than a college education.

CONCLUSION

Narrowing gaps in alcohol policies between states may reduce heavy drinking among those with lower educational attainment.

Alcohol-Attributable Deaths Help Drive Growing Socioeconomic Inequalities In US Life Expectancy, 2000-18

Socioeconomic gaps in life expectancy have widened substantially in the United States since 2000. Yet the contribution of specific causes to these growing disparities remains unknown. We used death records from the National Vital Statistics System and population data from Current Population Surveys to quantify the contribution of alcohol-attributable causes of death to changes in US life expectancy between 2000 and 2018 by sex and socioeconomic status (as measured by educational attainment). During the study period, the gap in life expectancy between people with low (high school diploma or less) compared with high (college degree) levels of education increased by three years among men and five years among women. Between 2000 and 2010 declines in cardiovascular disease mortality among people with high education made major contributions to growing inequalities. In contrast, between 2010 and 2018 deaths from a cause with an alcohol-attributable fraction of 20 percent or more were a dominant driver of socioeconomic divergence. Increased efforts to implement cost-effective alcohol control policies will be essential for reducing health disparities.

Changes in prevalence and in educational inequalities in Brazilian health behaviors between 2013 and 2019

Considering the relevance of health behaviors for chronic diseases prevalence and mortality and the increase in income concentration observed in the world and in Brazil, this study aimed to evaluate the changes in the prevalence and in the educational inequalities of Brazilian adult health behaviors between 2013 and 2019. We analyzed data of 49,025 and 65,803 adults (18-59 years of age) from the Brazilian National Health Survey (PNS), 2013 and 2019. Prevalence of health behaviors (smoking, alcohol intake, diet, physical activity and sedentarism) were estimated for three educational strata, for both surveys. Prevalence ratios (PR) between year of survey and between educational strata were estimated by Poisson regression models. Significant reductions were found in the prevalence of smoking, physical inactivity, sedentarism, insufficient consumption of fruits, and the excessive consumption of sweetened beverages. However, an increase was observed in alcohol consumption and binge drinking; vegetable consumption remained stable. Contrasting the favorable change in some behaviors, inequalities among schooling strata remained very high in 2019, specially for smoking (PR = 2.82; 95%CI: 2.49-3.20), passive smoking (PR = 2.88; 95%CI: 2.56-3.23) and physical inactivity (PR = 2.02; 95%CI: 1.92-2.13). There was a significant increase in the educational inequality regarding physical inactivity (21%), insufficient intake of fruit (8%) and in the frequent consumption of sweetened beverages (32%). The persistence and enlargement of inequalities highlight the behaviors and social segments that should be special targets for policies and programs focused in promoting healthy lifestyles.

Cardiovascular Mortality Gap Between the United States and Other High Life Expectancy Countries in 2000-2016

OBJECTIVES

Reductions in U.S. cardiovascular disease (CVD) mortality have stagnated. While other high life expectancy countries (HLCs) have also recently experienced a stall, the stagnation in CVD mortality in the United States appeared earlier and has been more pronounced. The reasons for the stall are unknown. We analyze cross-national variations in mortality trends to quantify the U.S. exceptionality and provide insight into its underlying causes.

METHODS

Data are from the World Health Organization (2000-2016). We quantified differences in levels and trends of CVD mortality between the United States and 17 other HLCs. We decomposed differences to identify the individual contributions of major CVD subclassifications (ischemic heart disease [IHD], stroke, other heart diseases). To identify potential behavioral explanations, we compared trends in CVD mortality with trends in other causes of death related to obesity, smoking, alcohol, and drugs.

RESULTS

Our study has four central findings: (a) U.S. CVD mortality is consistently higher than the average of other HLCs; (b) the U.S.-HLC gap declined until around 2008 and increased thereafter; (c) the shift from convergence to divergence was mainly driven by slowing IHD and stroke mortality reductions and increasing mortality from other CVD causes; (d) among the potential risk factors, only obesity- and alcohol-related mortality showed age-specific temporal changes that are similar to those observed for cardiovascular mortality.

DISCUSSION

The exceptional changes in U.S. CVD mortality are driven by a distinct pattern of slowing reductions in IHD and stroke mortality and deteriorating mortality from other CVD causes. Obesity and alcohol abuse appear to be interrelated factors.

Educational Gradients in Drinking Amount and Heavy Episodic Drinking among Working-Age Men and Women in Spain

Alcohol-related harm decreases as socioeconomic position increases, although sometimes the opposite happens with alcohol intake. The objective was to know the educational gradient in monthly measures of drinking amount and heavy episodic drinking (HED) among people aged 25−64 years in Spain from 1997−2017. Such gradient was characterized with the relative percent change (PC) in drinking measures per year of education from generalized linear regression models after adjusting for age, year, region, marital status and immigration status. Among men, the PCs were significantly positive (p < 0.05) for prevalence of <21 g alcohol/day (2.9%) and 1−3 HED days (1.4%), and they were negative for prevalences of 21−40 g/day (−1.1%), >40 g/day (−6.0%) and ≥4 HED days (−3.2%), while among women they ranged from 3.6% to 5.7%. The gradient in prevalences of >40 g/day (men) and >20 g/day (women) was greatly attenuated after additionally adjusting for HED, while that of ≥4 HED days was only slightly attenuated after additionally adjusting for drinking amount. Among women, the gradients, especially in HED measures, seem steeper in 2009−2017 than in 1997−2007. Educational inequality remained after additional adjustment for income and occupation, although it decreased among women. These results can guide preventive interventions and help explain socioeconomic inequalities in alcohol-related harm.

Declining Life Expectancy in the United States: Missing the Trees for the Forest

In recent years, life expectancy in the United States has stagnated, followed by three consecutive years of decline. The decline is small in absolute terms but is unprecedented and has generated considerable research interest and theorizing about potential causes. Recent trends show that the decline has affected nearly all race/ethnic and gender groups, and the proximate causes of the decline are increases in opioid overdose deaths, suicide, homicide, and Alzheimer's disease. A slowdown in the long-term decline in mortality from cardiovascular diseases has also prevented life expectancy from improving further. Although a popular explanation for the decline is the cumulative decline in living standards across generations, recent trends suggest that distinct mechanisms for specific causes of death are more plausible explanations. Interventions to stem the increase in overdose deaths, reduce access to mechanisms that contribute to violent deaths, and decrease cardiovascular risk over the life course are urgently needed to improve mortality in the United States.

Corticotropin releasing factor and norepinephrine related circuitry changes in the bed nucleus of the stria terminalis in stress and alcohol and substance use disorders

Alcohol Use Disorder (AUD) affects around 14.5 million individuals in the United States, with Substance Use Disorder (SUD) affecting an additional 8.3 million individuals. Relapse is a major barrier to effective long-term treatment of this illness with stress often described as a key trigger for a person with AUD or SUD to relapse during a period of abstinence. Two signaling molecules, norepinephrine (NE) and corticotropin releasing factor (CRF), are released during the stress response, and also play important roles in reward behaviors and the addiction process. Within the addiction literature, one brain region in which there has been increasing research focus in recent years is the bed nucleus of the stria terminalis (BNST). The BNST is a limbic structure with numerous cytoarchitecturally and functionally different subregions that has been implicated in drug-seeking behaviors and stress responses. This review focuses on drug and stress-related neurocircuitry changes in the BNST, particularly within the CRF and NE systems, with an emphasis on differences and similarities between the major dorsal and ventral BNST subregions.

Economic cycles and inequalities in alcohol-related mortality in the Baltic countries and Finland in 2000-2015: a register-based study

AIM

To estimate whether large macroeconomic fluctuations in the 2000s affected inequalities in alcohol-related mortality in the Baltic countries and Finland.

DESIGN

Longitudinal register-based follow-up study.

SETTING

Estonia, Latvia, Lithuania and Finland.

PARTICIPANTS

General population in the 35-74 age group.

MEASUREMENTS

Socioeconomic status was measured by the highest achieved educational level and was categorised using the International Standard Classification of Education 2011 as low (included categories 0-2), middle (3-4), and high (5-8). Educational inequalities in alcohol-related mortality in 2000-2003, 2004-2007, 2008-2011 and 2012-2015 were examined using census-linked longitudinal mortality data. We estimated age-standardised mortality rates and the relative and slope index of inequality.

FINDINGS

Alcohol-related mortality increased in all countries in 2004-2007 except among Estonian women and decreased/remained the same from 2008 onward except among Latvian men. By 2012-2015 alcohol-related mortality was still higher than in 2000-2003 in Finland, Latvia and Lithuania (women only). Relative inequalities increased across the study period in all countries (significantly in Lithuania and Latvia). The 2004-2007 increase in relative inequalities was mostly driven by a larger mortality increase among the low educated, whereas in 2008-2011 and in 2012-2015 inequalities often increased because of a larger relative mortality decline among the high educated. However, these period changes in relative inequalities and between educational groups were often not statistically significant. Absolute inequalities were larger in 2012-2015 versus 2000-2003 in all countries except Estonia (decrease).

CONCLUSION

In the Baltic countries and Finland, alcohol-related mortality tended to increase faster among the low educated during a period of economic expansion (2004-2007) and decrease more among the high educated during a period of economic recession (2008-2011).

The dose-response relationship between socioeconomic deprivation and alcohol-attributable mortality risk-a systematic review and meta-analysis

BACKGROUND

Individuals with low socioeconomic status (SES) experience a higher risk of mortality, in general, and alcohol-attributable mortality in particular. However, a knowledge gap exists concerning the dose-response relationships between the level of socioeconomic deprivation and the alcohol-attributable mortality risk.

METHODS

We conducted a systematic literature search in August of 2020 to update a previous systematic review that included studies published up until February of 2013. Quantitative studies reporting on socioeconomic inequality in alcohol-attributable mortality among the general adult population were included. We used random-effects dose-response meta-analyses to investigate the relationship between the level of socioeconomic deprivation and the relative alcohol-attributable risk (RR), by sex and indicator of SES (education, income, and occupation).

RESULTS

We identified 25 eligible studies, comprising about 241 million women and 230 million men, among whom there were about 75,200 and 308,400 alcohol-attributable deaths, respectively. A dose-response relationship between the level of socioeconomic deprivation and the RR was found for all indicators of SES. The sharpest and non-linear increase in the RR of dying from an alcohol-attributable cause of death with increasing levels of socioeconomic deprivation was observed for education, where, compared to the most educated individuals, individuals at percentiles with decreasing education had the following RR of dying: women: 25th: 2.09 [95% CI 1.70-2.59], 50th: 3.43 [2.67-4.49], 75th: 4.43 [3.62-5.50], 100th: 4.50 [3.26-6.40]; men: 25th: 2.34 [1.98-2.76], 50th: 4.22 [3.38-5.24], 75th: 5.87 [4.75-7.10], 100th: 6.28 [4.89-8.07].

CONCLUSIONS

The findings of this study show that individuals along the entire continuum of SES are exposed to increased alcohol-attributable mortality risk. Differences in the dose-response relationship can guide priorities in targeting public health initiatives.