Literature DB >> 31093038

Trends in mortality rates where alcohol was a necessary cause of death in Brazil, 2000-2013.

Ísis Eloah Machado1, Maristela Goldnadel Monteiro2, Rosane Aparecida Monteiro3, Francisco Carlos Félix Lana4, Vilma Pinheiro Gawryszewski5, Deborah Carvalho Malta4.   

Abstract

OBJECTIVE: To analyze trends in mortality due to diseases and conditions fully attributable to alcohol in Brazil.
METHODS: This was an ecological time-series study. Proportional, specific, and age-standardized mortality rates between 2000 and 2013 that were due to underlying or contributing causes fully attributable to alcohol use were analyzed by sex, ethnicity/skin color, age group, and region of residence in the country. Data on deaths were obtained from the Brazilian Mortality Information System (SIM). Prais-Winsten regression was used to analyze trends.
RESULTS: Deaths with underlying causes and/or conditions contributing to death fully attributable to alcohol accounted for 2.5% of total deaths in the period. There were more deaths among men (3.8%) than among women (0.7%). In both sexes, there was a higher proportion of deaths in those 40-49 years old (27.9%) and those of black or pardo (mixed race) skin color (48.8%). Between 2000 and 2013, there was an upward trend in specific mortality rates attributable to alcohol in the country as a whole (average annual growth rate (AAGR) = 5.59%; 95% confidence interval (CI) = 3.55%-7.68%), especially in people aged less than 20 years old, in pardos (AAGR = 13.42%; 95% CI = 9.70%-17.25%), and in residents of the North region (AAGR = 17.01%; 95% CI = 14.94%-19.13%), the Northeast region (AAGR = 15.49%; 95% CI = 10.61%-20.58%), and the Midwest region (AAGR = 8.40%; 95% CI = 5.57%-11.32%).
CONCLUSION: Alcohol is an important and growing cause of premature death in Brazil, especially among men, black/pardo people, and the population living in the most disadvantaged regions. This overall increase in the harmful use of alcohol reflects ethnic and socioeconomic inequalities in Brazil, and it also points to the need for population-based policies to reduce the impact of morbidity and to prevent early mortality.

Entities:  

Keywords:  Alcohol-induced disorders; Brazil; alcohol-related disorders; mortality; temporal distribution; time series studies

Year:  2018        PMID: 31093038      PMCID: PMC6386057          DOI: 10.26633/RPSP.2018.9

Source DB:  PubMed          Journal:  Rev Panam Salud Publica        ISSN: 1020-4989


The World Health Organization (WHO) has calculated that in 2012 the harmful use of alcohol caused 3.3 million deaths worldwide—or 5.9% of all deaths (1). In addition, alcohol consumption is among the six main risk factors for premature death and disability (2), and it affects a considerable proportion of young people. In Latin America and the Caribbean, alcohol use was the fourth leading risk factor for premature deaths and disability in 2015 (2). In the population aged 15–49 years, alcohol was the most important risk factor for death, accounting for 27.3 deaths per 100 000 population in 2015 (2). Among Latin American countries, where alcohol is a serious public health problem, a study comparing mortality where alcohol is a necessary cause showed that Brazil was among the five countries with the highest mortality rates (3). Despite the influence of contextual and cultural factors related to alcohol consumption among countries, alcohol-attributable mortality in the population is unevenly distributed by individual and societal factors. Higher incidences are reported in men and socioeconomically disadvantaged groups; however, a considerable variation has been reported regarding gender and socioeconomic status (3–5). Alcohol is a causal factor of more than 200 diseases and injuries described in the International Statistical Classification of Diseases and Related Problems, 10th revision (ICD-10) (1, 6). Among these diseases, conditions, and injuries, some of them are fully attributable to alcohol consumption (i.e., alcohol is a necessary cause), and others are partially attributable to alcohol consumption (alcohol is a component cause). Mortality systems can provide information on specific causes of death, and have the potential to provide direct evidence of the impact of alcohol as a necessary cause of mortality in countries. The relation of this mortality cause with sociodemographic indicators can also be analyzed with available data in these systems. In addition to the illnesses that alcohol consumption causes, it imposes an economic burden that is estimated to be 0.45% to 5.44% of gross domestic product (GDP), according to a systematic review of studies from 12 countries (7). In Brazil, we do not have a similar estimate. However, alcohol use was the third largest risk factor contributing to the burden of disease in 2013 (2), and the average annual costs for just public treatment of eight selected alcohol-related diseases was estimated at US$ 8 million (8). In consideration of the above information and the availability of a good-quality computerized mortality system in Brazil, the objective of this study was to analyze trends in mortality in the country due to diseases, conditions, and injuries where alcohol is a necessary cause, according to sex, age, ethnicity/skin color, and region of the country.

METHODS

This was an ecological time-series study that used data from the Mortality Information System (Sistema de Informação Sobre Mortalidade (SIM)). The data provided by this system is the principal source of information about the causes of deaths in Brazil's municipalities, states, and regions. All deaths occurring in Brazil must be registered on SIM, regardless of whether or not they occurred in hospitals. SIM has improved the quality of data over the years in terms of capturing nonregistered causes of death. This led to a reduction in underregistration and ill-defined codes, from 14.3% of all causes of deaths in 2000 to 5.9% in 2013 (9, 10). For this reason we used the most recent data available, for 2000–2013. No adjustments were made for ill-defined causes and underreporting, which may affect trends analysis. We adopted the classification proposed by Gawryszewski and Monteiro (3) for alcohol as a necessary cause of mortality or morbidity. That classification included more than 78 ICD-10 categories (three digits) or subcategories (four digits) containing alcohol in their title (3, 6): E24.0 Alcohol-induced pseudo-Cushing's syndrome F10.0–F10.9 Mental and behavioral disorders due to use of alcohol G31.2 Degeneration of nervous system due to alcohol G62.1 Alcoholic polyneuropathy G72.1 Alcoholic myopathy I42.6 Alcoholic cardiomyopathy K29.2 Alcoholic gastritis K70.0–K70.4, K70.9 Alcoholic liver disease K85.2 Alcohol-induced acute pancreatitis K86.0 Alcohol-induced chronic pancreatitis O35.4 Maternal care for (suspected) damage to fetus from alcohol P04.3 Fetus and newborn affected by maternal use of alcohol Q86.0 Fetal alcohol syndrome (dysmorphic) R78.0 Finding of alcohol in blood X45.0–X45.9 Accidental poisoning by and exposure to alcohol X65.0–X65.9 Intentional self-poisoning by and exposure to alcohol Y15.0–Y15.9 Poisoning by and exposure to alcohol, undetermined intent Y90.0–Y90.9 Evidence of alcohol involvement determined by blood alcohol level Y91.0–Y91.9 Evidence of alcohol involvement determined by level of intoxication Alcohol as a necessary cause means that the outcome would not have occurred in the absence of alcohol consumption, such as in alcoholic liver cirrhosis (3). Each death certificate can have one underlying cause and a maximum of two conditions contributing to death. In this study, we analyzed all deaths with a disease or condition fully attributable to alcohol use registered as an underlying cause of death or as a condition contributing to death. A disease, condition, or injury where alcohol is the underlying cause means that the death would not exist in the absence of alcohol consumption. A condition that contributed to the death is a disease or condition related to the death but not directly causing it (11). The mortality data for 2000–2013 was disaggregated by sex, age, ethnicity/skin color, and region of the country. Linear interpolation taking data from the 2000 and 2010 Brazilian censuses was used to obtain the size of the population in the period 2000–2013. Standardized mortality rates per 100 000 inhabitants were calculated using the direct method, with the aim of enabling mortality rates to be compared between sex, Brazilian region, and ethnicity/skin color over the period. The World Standard Population of the World Health Organization (12) was used for the standardization procedure. Specific mortality rates per 100 000 inhabitants were used to analyze the time series by age. The age groups used were: < 20, 20–29, 30–39, 40–49, 50–59, 60–69, 70–79, and 80 years and above (80+). Because of the small number of deaths of other ethnicity/skin colors (0.6% of all deaths in the period) we only used white, black, and pardo in the time-series analysis. Pardo is a broad category widely used in Brazilian research that includes people with mixed origins. The two other possible categories were East Asians and “indigenous,” meaning Amerindians. In the time-series analysis, we used a linear regression with the Prais-Winsten estimator to analyze the serial correlation of type AR(1) in the time series, and we used the standardized rate as the dependent variable and the year as the independent variable. We also calculated the average annual growth rates and their confidence interval (CI), using the estimated coefficients of the year in the linear regression. The significance level established in the time-series analysis was 1%. The study was conducted exclusively with publicly available data on mortality, which does not allow identification of the individuals, in compliance with Brazilian National Health Council Resolution 466.

RESULTS

Between 2000 and 2013, 219 205 deaths where their underlying cause was a disease fully attributable to alcohol and 367 954 deaths where the underlying and/or contributing cause was a disease fully attributable to alcohol were registered in Brazil. They corresponded, respectively, to 1.5% and 2.5% of the total deaths registered in the SIM in the period. In males, deaths with the underlying and/or associated cause fully attributable to alcohol accounted for 3.8%. In females, this proportion was lower, 0.7% (Table 1).
TABLE 1

All deaths and the percent with a disease, condition, or injury where alcohol was a necessary cause as the main cause, and as the main and/or the contributing cause, by sex, Brazil, 2000–2013

YearTotalMaleFemale
No. of deathsPercent of deaths with alcohol as the main causePercent of deaths with alcohol as the main and/or the contributing causePercent of deaths with alcohol as the main causePercent of deaths with alcohol as the main and/or the contributing causePercent of deaths with alcohol as the main causePercent of deaths with alcohol as the main and/or the contributing cause
2000948 6661.21.91.93.00.30.5
2001961 4921.32.01.93.00.30.5
2002982 8071.32.02.03.10.30.5
20031 002 3401.32.12.03.20.30.5
20041 024 0731.42.22.13.40.30.6
20051 006 8271.52.52.33.80.40.6
20061 031 6911.52.52.33.90.40.7
20071 047 8241.62.62.44.00.40.7
20081 077 0071.62.72.54.20.40.7
20091 103 0881.52.62.44.10.40.7
20101 136 9471.62.72.54.20.40.8
20111 170 4981.62.82.54.40.40.8
20121 181 1661.62.82.44.40.40.8
20131 210 4741.62.82.44.40.40.7
Total14 882 9201.52.52.33.80.40.7
In Brazil, the standardized mortality rate due to underlying and/or contributing causes fully attributable to alcohol use went up from 12.77 deaths per 100 000 inhabitants in 2000 to 16.93 deaths per 100 000 inhabitants in 2013. Men's mortality rates due to underlying and/or associated causes fully attributable to alcohol use were almost 10 times as high as those for women in this period. The mortality attributable to alcohol increased over this period in the total population and among men and women (p < 0.01) in similar growth rates (Table 2).
TABLE 2

Time series for mortality due to diseases, conditions, or injuries where alcohol was a necessary cause as the main and/or the contributing cause, by demographic indicators, Brazil, 2000–2013

Mortality rate per 100 000 inhabitantsAAGRa (%)AAGR 95% confidence intervalp valueR2b
200020072013
Totalc12.7715.8816.935.593.557.68< 0.0010.99
Sexc
Women2.623.463.635.753.787.76< 0.0010.99
Men23.8029.7031.906.543.379.810.0010.87
Age group (yr)
Women
< 200.030.050.0919.8210.0630.450.0010.72
20–290.530.680.695.281.149.590.0170.60
30–393.133.352.74-0.01-1.451.460.990.83
40–495.737.827.846.093.109.160.0010.96
50–596.437.969.508.816.3811.31< 0.0010.92
60–696.248.799.268.964.8513.23< 0.0010.90
70–795.148.209.5314.7910.3619.39< 0.0010.78
80+5.9610.3311.1115.967.1525.500.0020.66
Men
< 200.070.320.3327.191.9658.670.0370.66
20–294.716.005.231.72-3.216.900.4730.87
30–3923.6625.6421.13-1.92-4.761.000.1790.99
40–4951.157.5857.132.691.054.370.0040.99
50–5965.8979.0989.756.765.338.22< 0.0010.97
60–6960.7985.2899.489.377.0711.71< 0.0010.99
70–7950.8377.2496.2413.129.8316.52< 0.0010.99
80+36.2368.0189.018.7312.8924.87< 0.0010.96
Ethnicity/skin colorc
White11.2012.9012.802.801.364.250.0010.98
Black19.0021.8022.502.881.234.560.0030.97
Pardo9.6015.4019.1013.429.7017.25< 0.0010.97
Regionc
North4.156.999.7317.0114.9419.13< 0.0010.98
Northeast9.3716.6320.4815.4910.6120.58< 0.0010.95
Southeast14.1815.6914.661.14-1.453.800.3650.98
South16.2616.8816.480.810.041.590.0420.99
Midwest12.3115.2720.248.405.5711.32< 0.0010.96

AAGR = average annual growth rate.

R2 = Coefficient of determination of linear regression with the Prais-Winsten estimator.

Age-standardized mortality rate using the World Standard Population of the World Health Organization.

AAGR = average annual growth rate. R2 = Coefficient of determination of linear regression with the Prais-Winsten estimator. Age-standardized mortality rate using the World Standard Population of the World Health Organization. Higher specific mortality rates with the underlying or contributing cause fully attributable to alcohol use were seen in both males and females aged 40 and over, in comparison to the youngest age group. There was an increase in all age groups except among men aged <20 (p = 0.037) and women and men aged 20-39 for which the trend was stationary (p > 0.01). In women, the average annual growth rate was higher among the group under 20 years old (AAGRWomen < 20 = 19.82%; 95% CI = 10.06%-30.45%) and, in men, in the group aged 80 years old and more (AAGRMen 80+ = 18.73%; 95% CI = 12.89%–24.87%) (Table 2). In both sexes, blacks and pardos had the highest proportion of deaths, comprising 47.7% of males and 56.8% of females. The ethnicity/skin color for 27 134 cases of deaths with underlying and/or associated cause fully attributable to alcohol use was unknown and accounted for 7.4% of total deaths registered with these causes. Black people had the highest mortality rates due to alcohol from 2000 to 2013. Pardo was the ethnicity/skin color with the lowest rates at the beginning of the series, but overtook white in the middle of the analyzed period. All three groups had an increase in the standardized mortality rates between 2000 and 2013, but the one for pardos was the largest, an annual growth rate of 13.4% (95% CI = 9.70%-17.25%) (Table 2). In terms of the regional distribution, the North had the lowest standardized mortality rates for the whole period but the highest average annual growth rate (AAGR = 17.0%; 95% CI = 14.94%-19.13%). An increase in the standardized mortality rates was also seen in the Northeast and Midwest regions. The South and Southeast regions had a stationary trend (Table 2 and Figure 1).
FIGURE 1

Time series of standardized mortality due to diseases, conditions, or injuries where alcohol was a necessary cause, by region, Brazil, 2000–2013

ᵃ Age-standardized mortality rate using the World Standard Population of the World Health Organization.

Time series of standardized mortality due to diseases, conditions, or injuries where alcohol was a necessary cause, by region, Brazil, 2000–2013

ᵃ Age-standardized mortality rate using the World Standard Population of the World Health Organization. We also analyzed the main causes of deaths where a disease or condition fully attributable to alcohol was alone the main cause, and not a contributing cause to death. The leading cause was alcoholic liver disease (K70.0-K70.4, K70.9), accounting for 54.6% (n = 119 657) of deaths in the 2000–2013 period (Table 3). The second main cause was mental and behavioral disorders due to use of alcohol (F10.0-F10.9), accounting for 40.3% (n = 88 331) of deaths. The third main cause was alcoholic cardiomyopathy (I42.6), which accounted for 1.9% (n = 4 179) of deaths. Deaths caused by intentional or accidental alcohol poisoning (the sum of the deaths that presented as the main cause one of the following codes: X45.0-X45.9, X65.0-X65.9, or Y15.0-Y15.9) accounted for 0.5% of deaths (n = 1 119) fully related to alcohol between 2000 and 2013.
TABLE 3

Distribution of deaths with diseases, conditions, or injuries where alcohol was a necessary cause as the main cause, by cause. Brazil, 2000–2013

Causesa20002001200220032004200520062007200820092010201120122013Total%
E24.4Alcohol-induced pseudo-Cushing's syndrome0000000001000010.00
F10.0–F10.9Mental and behavioral disorders due to use of alcohol4 7715 0445 0965 2135 7626 3516 6276 9437 3136 8347 0737 3356 9447 02588 33140.30
G31.2Degeneration of nervous system due to alcohol193620212936103861151131151551371331 1180.51
G62.1Alcoholic polyneuropathy36292826292826393827293831394430.20
G72.1Alcoholic myopathy00020210252062220.01
I42.6Alcoholic cardiomyopathy3182893222963973632872802872612832902562504 1791.91
K29.2Alcoholic gastritis41403431444420163125202830204240.19
K70.0–K70.4, K70.9Alcoholic liver disease6 4196 5207 0537 0747 5137 9748 4298 8859 3949 3189 91810 31110 37710 472119 65754.59
K85.2Alcohol-induced acute pancreatitis0000000001033463593754011 5840.72
K86.0Alcohol-induced chronic pancreatitis1171441271271472061541921841841721691811582 2621.03
P04.3Fetus and newborn affected by maternal use of alcohol23554524532372520.02
Q86.0Fetal alcohol syndrome (dysmorphic)11011111012100110.01
R78.0Finding of alcohol in blood0000001000000120.00
X45.0–X45.9Accidental poisoning by and exposure to alcohol10151610151011715112250791213920.18
X65.0–X65.9Intentional self-poisoning by and exposure to alcohol891021111721293523353641563520.16
Y15.0–Y15.9Poisoning by and exposure to alcohol, undetermined intent12161519101618222021244256843750.17
Total11 75012 14612 72612 84613 96215 05315 70116 50417 43916 93018 04318 81718 52018 764219 205100.00

The listed causes are ones from the International Statistical Classification of Diseases and Related Problems, 10th revision (ICD-10) (11). No deaths with the Y90.0-Y90.9 and Y91.0-Y91.9 codes were identified as the main cause in the period in Brazil.

The listed causes are ones from the International Statistical Classification of Diseases and Related Problems, 10th revision (ICD-10) (11). No deaths with the Y90.0-Y90.9 and Y91.0-Y91.9 codes were identified as the main cause in the period in Brazil.

DISCUSSION

From 2000 to 2013, almost 400 000 deaths with underlying and/or associated causes contributing to death fully attributable to alcohol were recorded in Brazil. An increase in deaths from these types of causes was found nationally, with the highest average annual increases among pardos, those under 20 years old, and persons living in the North, Northeast, and Midwest regions. It must be emphasized that these findings reveal only part of the considerable impact that alcohol consumption has on mortality. That is because the range of diseases and disabilities caused by alcohol goes beyond deaths fully associated with this substance and includes neoplasms, cardiovascular diseases, gastrointestinal diseases, tuberculosis and other infectious diseases, suicide, violence, and land transport injuries (1, 6). The majority of external causes were not included here. Autopsy studies with fatal victims of traffic injuries, for example, show that 50% are due to alcohol (13). The standardized mortality rates due to underlying or contributing causes fully attributable to alcohol use were higher among men than among women, which is consistent with the literature (1–6). In addition, there is a difference in alcohol consumption between males and females. Men use this substance more frequently and in higher amounts than women do, regardless of the pattern of consumption (1, 13, 14), and men also have a greater frequency of problems related to alcohol consumption (15). Recent studies have shown an increase in alcohol consumption among women, particularly in the youngest cohorts (16). In Brazil, a study among schoolchildren just 13 to 15 years old found that alcohol use was equal between girls and boys in terms of regular consumption, and with a higher proportion of girls who had ever tried alcoholic beverages (17). This could be a forewarning of more problems among women in the future. Women are more susceptible to the repercussions of drinking than are men, including from increased breast cancer (18), heart disease and stroke (19), and brain damage (20). Women also show a more rapid progression to dependency (21) as well as a propensity to develop liver cirrhosis in less time and with lower amounts of alcohol (22). Alcohol use during pregnancy can also lead to toxicity in the embryo and fetal teratogenicity (23). Furthermore, women who drink have been stigmatized by society (24). A systematic review study also found that women with alcohol use disorders have higher mortality risks than men do (25). With regard to age groups, we found the peak of mortality due to alcohol beginning with those 40–49 years old. In both sexes in this age group, there is an increase in specific mortality rates due to underlying and/or associated causes fully attributable to alcohol. This is a young age group, considering that life expectancy at birth in Brazil in 2010 was 73.8 years (26). Another concern is the rising mortality rate in people less than 20 years old. That fact highlights the problem of acute alcohol intoxication, which is common among adolescents and young adults and can lead to a fatal outcome. In this study, around 1 000 deaths were directly caused by acute alcohol poisoning. Even though we did not intend to analyze trends for each specific cause, the deaths caused by the codes X45, X65, and Y15 increased from 30 to 261 (i.e., more than eight times) between 2000 and 2013, more than any other cause analyzed. This finding should be explored in further studies. Moreover, even on occasions when it does not lead to death, being intoxicated is strongly associated with various forms of injuries and violence, especially among young men (27). Repeated intoxication leads to tolerance and the development of dependence as well as a large range of chronic health problems later in life, including premature mortality, as documented here. The highest mortality rates were found among blacks and pardos. In a review study, Roerecke and Rehm (25) found that there is a greater risk of death among people with disorders due to alcohol use. This may indicate that there is a greater proportion of people who engage in harmful alcohol use in the black and pardo populations. This is on top of their more limited access to health care services, given their relatively lower socioeconomic status in Brazilian society. In a systematic review of epidemiological studies on interpersonal discrimination and mental health, Goto et al. (28) found a positive association between racial discrimination and disorders related to alcohol consumption (28). Another study (29) has shown higher unemployment and lower wages among black people in Brazil. A study conducted in Brazil (30) indicated that general mortality in blacks and pardos is almost double that of whites, emphasizing that ethnic and racial inequalities in Brazil also produce health inequalities. The highest mortality due to alcohol use in black people and a pronounced growth in mortality due to alcohol use among pardos found in our study might be related to these inequalities. Pardo people make up more than half of the population of the North and Northeast regions, which are the poorest areas of the country (31). As such, the relation between ethnicity/skin color and alcohol use and dependence deserves to be studied in more depth in the Brazilian context, both to prevent premature deaths and to reduce health inequities. Another important finding from our research was the high mortality rates between 2008 and 2013 in the Northeast region, which, according to the National Health Survey (14), is the area of Brazil with the highest prevalence of heavy episodic drinking in the preceding month. Our study highlighted the importance of alcohol-related mortality in Brazil in a relatively young age group. This is even more relevant when considering national surveys that evaluated alcohol consumption and found a high prevalence of heavy episodic drinking in adults 24–34 years old (14, 32). In addition, the Brazilian National Adolescent School-based Health Survey (PeNSE), showed a high prevalence of alcohol use ever and of use in the last 30 days in schoolchildren aged 13–15 (17). That survey also pointed out that schoolchildren can easily consume or purchase alcoholic beverages: 21.9% of boys and 10.5% of girls who reported alcohol consumption had succeeded in buying at bars, markets, or shops (17). In addition to the easy access to alcoholic beverages by children and adolescents in Brazil, price changes for alcoholic beverages have been relatively stable, remaining below the general price index for food between 1939 and 2010 (33). Another controversial point is alcohol advertising in the country, which is regulated by Law 9.294/1996. That law catalogs as alcoholic beverages only those with more than 13% alcohol content by volume, thus excluding beer and wine (34). Our study has some limitations. One is the uncertainty regarding the increase in mortality rates. The improvement of the quality of SIM data related to the reduction of underregistration and ill-defined causes, especially in the North and Northeast regions of Brazil (10), may have influenced the increase in rates shown in our study. However, we have used data from the most recent period, 2000 to 2013, in order to minimize this effect. We recommend future studies be conducted to determine the effect of the improvement in the SIM system on the presented trends. Secondly, the ethnicity/skin color variable and the schooling variables had problems of completeness, which are inherent in secondary studies using vital records databases. Finally, our study does not assess how much of the trends are due to a cohort or period effect, so we recommend future studies using age-period-cohort analysis. In conclusion, given the magnitude of the problem of alcohol-related mortality in the country, especially in the most vulnerable population, such as blacks and pardos and residents of the most disadvantaged regions, Brazil urgently needs to address alcohol as a public health priority in order to reduce the economic and social costs to the country. Among the priority measures for diminishing harmful alcohol use would be decreasing the availability of alcohol. This could be done by, for example, cutting the hours or days allowed for the sale of alcoholic beverages, reducing the density of alcohol outlets, and creating a licensing system for the sale of alcohol (35, 36). Other recommended steps include controlling marketing and retailing, ensuring the enforcement of drink-driving policy, and guaranteeing continuity of access to alcohol-dependence and alcohol-related-diseases treatment in the public health system (35, 36). These measures, together with the maintenance and strengthening of surveillance systems that include alcohol consumption and alcohol-related health harm, could help the country to achieve the goals established in the World Health Organization global plan on noncommunicable diseases (37). These steps could also help Brazil to achieve targets of the Pan American Health Organization regional plan of action (38) and the national plan (39) on noncommunicable diseases, in which the country has agreed to reduce harmful use of alcohol by 10%, as well as decrease alcohol-related mortality and morbidity.
  23 in total

1.  [Epidemiologic aspects of racial inequalities in health in Brazil].

Authors:  Dóra Chor; Claudia Risso de Araujo Lima
Journal:  Cad Saude Publica       Date:  2005-09-12       Impact factor: 1.632

Review 2.  Alcohol and breast cancer: review of epidemiologic and experimental evidence and potential mechanisms.

Authors:  K W Singletary; S M Gapstur
Journal:  JAMA       Date:  2001-11-07       Impact factor: 56.272

Review 3.  The more you drink, the harder you fall: a systematic review and meta-analysis of how acute alcohol consumption and injury or collision risk increase together.

Authors:  B Taylor; H M Irving; F Kanteres; R Room; G Borges; C Cherpitel; T Greenfield; J Rehm
Journal:  Drug Alcohol Depend       Date:  2010-03-16       Impact factor: 4.492

Review 4.  Gender differences in risk factors and consequences for alcohol use and problems.

Authors:  Susan Nolen-Hoeksema
Journal:  Clin Psychol Rev       Date:  2004-12

5.  Risk for congenital anomalies associated with different sporadic and daily doses of alcohol consumption during pregnancy: a case-control study.

Authors:  Maria Luisa Martínez-Frías; Eva Bermejo; Elvira Rodríguez-Pinilla; Jaime Luis Frías
Journal:  Birth Defects Res A Clin Mol Teratol       Date:  2004-04

6.  Gender differences in correlates of recent physical assault among untreated rural and urban at-risk drinkers: role of depression.

Authors:  Stephen T Chermack; Brenda M Booth; Geoffrey M Curran
Journal:  Violence Vict       Date:  2006-02

7.  Alcohol consumption and mortality from stroke and coronary heart disease among Japanese men and women: the Japan collaborative cohort study.

Authors:  Satoyo Ikehara; Hiroyasu Iso; Hideaki Toyoshima; Chigusa Date; Akio Yamamoto; Shogo Kikuchi; Takaaki Kondo; Yoshiyuki Watanabe; Akio Koizumi; Yasuhiko Wada; Yutaka Inaba; Akiko Tamakoshi
Journal:  Stroke       Date:  2008-07-10       Impact factor: 7.914

8.  Alcohol use patterns among Brazilian adults.

Authors:  Ronaldo Laranjeira; Ilana Pinsky; Marcos Sanches; Marcos Zaleski; Raul Caetano
Journal:  Braz J Psychiatry       Date:  2009-11-13       Impact factor: 2.697

Review 9.  The economic impact of alcohol consumption: a systematic review.

Authors:  Montarat Thavorncharoensap; Yot Teerawattananon; Jomkwan Yothasamut; Chanida Lertpitakpong; Usa Chaikledkaew
Journal:  Subst Abuse Treat Prev Policy       Date:  2009-11-25

Review 10.  Male and female sensitivity to alcohol-induced brain damage.

Authors:  Daniel W Hommer
Journal:  Alcohol Res Health       Date:  2003
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Authors:  Rinaldo Eduardo Machado de Oliveira; Julieta Mieko Ueta; Laercio Joel Franco
Journal:  Diabetol Int       Date:  2021-06-17
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