22 February 2019 In Drinking & Eating Patterns

Background and aims: Cancer has emerged as the leading cause of death in human populations. The contribution of alcohol has been highly suspected. The purpose of this paper was to analyze the time trend of digestive cancers in Romania, in terms of mortality rates (1955-2012), and incidence rates (2008-2012), and the alcohol consumption data (1961-2010), aiming to find out if there is any association.

Methods: The data on six more common digestive cancers mortality rates (1955-2012) and incidence rates (2008-2012) were obtained from the historical and recent country statistics and publications of International Agency for Research on Cancer (IARC)/World Health Organisation (WHO), as age-standardized rate expressed per 100,000 population (ASRw). Data on alcohol consumption were obtained from the statistics and publications of WHO and United European Gastroenterology (UEG), as liters of pure alcohol/year. Results: Between 1955-2012, the ASRw of mortality registered an increase of the cancers of the esophagus in M (from 2.03 to 3.90), and of colorectal cancer in both sexes (from 4.65 to 18.20 in M, and from 4.57 to 9.70 in F). Between 1980-2012, an increasing trend of mortality was registered, in both sexes, for the cancers of the pancreas (from 5.50 to 9.30 in M and from 2.92 to 5.10 in F) and liver (from 1.77 to 11.00, in M, and from 0.83 to 4.20 in F). In terms of incidence, between 2008-20012, an increasing trend of ASRw was registered for the cancers of the esophagus in M (from 3.90 to 4.30), gastric cancer in M (from 15.90 to 16.30), colorectal cancer in both sexes (from 27.60 to 34.50 in M and from 19.00 to 20.20 in F), pancreatic cancer in F (form 5.20 to 5.90), and liver cancer in M (from 8.10 to 9.20). Alcohol consumption per capita (liters pure alcohol/year) increased in the same period, from an average of 5 in 1961, to 12.8 in 2003-2005, and to 14.4 in 2008-2010.

Conclusions: Given the parallel increase of some digestive cancers and alcohol consumption registered in our area, alcohol could represent more than a coincidence.

22 February 2019 In Liver Disease

OBJECTIVE: To evaluate the longitudinal relationship between repeated measures of alcohol consumption and risk of developing fatty liver.

PATIENTS AND METHODS: This study includes 5407 men and women from a British population-based cohort, the Whitehall II study of civil servants, who self-reported alcohol consumption by questionnaire over approximately 30 years (1985-1989 through to 2012-2013). Drinking typologies during midlife were linked to measures of fatty liver (the fatty liver index, FLI) when participants were in older age (age range 60-84 years) and adjusted for age, socio-economic position, ethnicity, and smoking.

RESULTS: Those who consistently drank heavily had two-fold higher odds of increased FLI compared to stable low-risk moderate drinkers after adjustment for covariates (men: OR = 2.04, 95%CI = 1.53-2.74; women: OR = 2.24, 95%CI = 1.08-4.55). Former drinkers also had an increased FLI compared to low-risk drinkers (men: OR = 2.09, 95%CI = 1.55-2.85; women: OR = 1.68, 95%CI = 1.08-2.67). There were non-significant differences in FLI between non-drinkers and stable low-risk drinkers. Among women, there was no increased risk for current heavy drinkers in cross sectional analyses.

CONCLUSION: Drinking habits among adults during midlife affect the development of fatty liver, and sustained heavy drinking is associated with an increased FLI compared to stable low-risk drinkers. After the exclusion of former drinkers, there was no difference between non-drinkers and low-risk drinkers, which does not support a protective effect on fatty liver from low-risk drinking. Cross-sectional analyses among women did not find an increased risk of heavy drinking compared to low-risk drinkers, thus highlighting the need to take a longitudinal approach.

22 February 2019 In General Health

We estimated calorie intake from alcohol in Canada, overall and by gender, age, and province, and provide evidence to advocate for mandatory alcohol labelling requirements. Annual per capita (aged 15+) alcohol sales data in litres of pure ethanol by beverage type were taken from Statistics Canada's CANSIM database and converted into calories. The apportionment of consumption by gender, age, and province was based on data from the Canadian Tobacco, Alcohol and Drug Survey. Estimated energy requirements (EER) were from Canada's Food Guide. The average drinker consumed 250 calories, or 11.2% of their daily EER in the form of alcohol, with men (13.3%) consuming a higher proportion of their EER from alcohol than women (8.2%). Drinkers consumed more than one-tenth of their EER from alcohol in all but one province. By beverage type, beer contributes 52.7% of all calories derived from alcohol, while wine (20.8%); spirits (19.8%); and ciders, coolers, and other alcohol (6.7%) also contribute substantially. The substantial caloric impact of alcoholic drinks in the Canadian diet suggests that the addition of caloric labelling on these drinks is a necessary step.

22 February 2019 In General Health

BACKGROUND: Unhealthy alcohol use (UAU) is one of the major causes of preventable morbidity, mortality, and associated behavioral risks worldwide. Although mobile health (mHealth) interventions can provide consumers with an effective means for self-control of UAU in a timely, ubiquitous, and cost-effective manner, to date, there is a lack of understanding about different health outcomes brought by such interventions. The core components of these interventions are also unclear.

OBJECTIVE: This study aimed to systematically review and synthesize the research evidence about the efficacy of mHealth interventions on various health outcomes for consumer self-control of UAU and to identify the core components to achieve these outcomes.

METHODS: We systematically searched 7 electronic interdisciplinary databases: Scopus, PubMed, PubMed Central, CINAHL Plus with full text, MEDLINE with full text, PsycINFO, and PsycARTICLES. Search terms and Medical Subject Headings "mHealth," "text message," "SMS," "App," "IVR," "self-control," "self-regulation," "alcohol*," and "intervention" were used individually or in combination to identify peer-reviewed publications in English from 2008 to 2017. We screened titles and abstracts and assessed full-text papers as per inclusion and exclusion criteria. Data were extracted from the included papers according to the Consolidated Standards of Reporting Trials-EHEALTH checklist (V 1.6.1) by 2 authors independently. Data quality was assessed by the Mixed Methods Appraisal Tool. Data synthesis and analyses were conducted following the procedures for qualitative content analysis. Statistical testing was also conducted to test differences among groups of studies. RESULTS: In total, 19 studies were included in the review. Of these 19 studies, 12 (63%) mHealth interventions brought significant positive outcomes in improving participants' health as measured by behavioral (n=11), physiological (n=1), and cognitive indicators (n=1). No significant health outcome was reported in 6 studies (6/19, 32%). Surprisingly, a significant negative outcome was reported for the male participants in the intervention arm in 1 study (1/19, 5%), but no change was found for the female participants. In total, 5 core components reported in the mHealth interventions for consumer self-control of UAU were context, theoretical base, delivery mode, content, and implementation procedure. However, sound evidence is yet to be generated about the role of each component for mHealth success. The health outcomes were similar regardless of types of UAU, deployment setting, with or without nonmobile cointervention, and with or without theory.

CONCLUSIONS: Most studies reported mHealth interventions for self-control of UAU appeared to be improving behavior, especially the ones delivered by short message service and interactive voice response systems. Further studies are needed to gather sound evidence about the effects of mHealth interventions on improving physiological and cognitive outcomes as well as the optimal design of these interventions, their implementation, and effects in supporting self-control of UAU.

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