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.

22 February 2019 In Drinking & Driving

BACKGROUND: Drink driving is an important risk factor for road traffic accidents (RTAs), which cause high levels of morbidity and mortality globally. Lowering the permitted blood alcohol concentration (BAC) for drivers is a common public health intervention that is enacted in countries and jurisdictions across the world. In Scotland, on Dec 5, 2014, the BAC limit for drivers was reduced from 0.08 g/dL to 0.05 g/dL. We therefore aimed to evaluate the effects of this change on RTAs and alcohol consumption.

METHODS: In this natural experiment, we used an observational, comparative interrupted time-series design by use of data on RTAs and alcohol consumption in Scotland (the interventional group) and England and Wales (the control group). We obtained weekly counts of RTAs from police accident records and we estimated weekly off-trade (eg, in supermarkets and convenience stores) and 4-weekly on-trade (eg, in bars and restaurants) alcohol consumption from market research data. We also used data from automated traffic counters as denominators to calculate RTA rates. We estimated the effect of the intervention on RTAs by use of negative binomial panel regression and on alcohol consumption outcomes by use of seasonal autoregressive integrated moving average models. Our primary outcome was weekly rates of RTAs in Scotland, England, and Wales. This study is registered with ISRCTN, number ISRCTN38602189.

FINDINGS: We assessed the weekly rate of RTAs and alcohol consumption between Jan 1, 2013, and Dec 31, 2016, before and after the BAC limit came into effect on Dec 5, 2014. After the reduction in BAC limits for drivers in Scotland, we found no significant change in weekly RTA rates after adjustment for seasonality and underlying temporal trend (rate ratio 1.01, 95% CI 0.94-1.08; p=0.77) or after adjustment for seasonality, the underlying temporal trend, and the driver characteristics of age, sex, and socioeconomic deprivation (1.00, 0.96-1.06; p=0.73). Relative to RTAs in England and Wales, where the reduction in BAC limit for drivers did not occur, we found a 7% increase in weekly RTA rates in Scotland after this reduction in BAC limit for drivers (1.07, 1.02-1.13; p=0.007 in the fully-adjusted model). Similar findings were observed for serious or fatal RTAs and single-vehicle night-time RTAs. The change in legislation in Scotland was associated with no change in alcohol consumption, measured by per-capita off-trade sales (-0.3%, -1.7 to 1.1; p=0.71), but a 0.7% decrease in alcohol consumption measured by per-capita on-trade sales (-0.7%, -0.8 to -0.5; p<0.0001).

INTERPRETATION: Lowering the driving BAC limit to 0.05 g/dL from 0.08 g/dL in Scotland was not associated with a reduction in RTAs, but this change was associated with a small reduction in per-capita alcohol consumption from on-trade alcohol sales. One plausible explanation is that the legislative change was not suitably enforced-for example with random breath testing measures. Our findings suggest that changing the legal BAC limit for drivers in isolation does not improve RTA outcomes. These findings have significant policy implications internationally as several countries and jurisdictions consider a similar reduction in the BAC limit for drivers.

FUNDING: National Institute for Health Research Public Health Research Programme.

05 December 2018 In Drinking & Eating Patterns

BACKGROUND: Some of the previously reported health benefits of low-to-moderate alcohol consumption may derive from health status influencing alcohol consumption rather than the opposite. We examined whether health status changes influence changes in alcohol consumption, cessation included.

METHODS: Data came from 571 current drinkers aged >/=60 years participating in the Seniors-ENRICA cohort in Spain. Participants were recruited in 2008-2010 and followed-up for 8.2 years, with four waves of data collection. We assessed health status using a 52-item deficit accumulation (DA) index with four domains: functional, self-rated health and vitality, mental health, and morbidity and health services use. To minimise reverse causation, we examined how changes in health status over a 3-year period (wave 0-wave 1) influenced changes in alcohol consumption over the subsequent 5 years (waves 1-3) using linear/logistic regression, as appropriate.

RESULTS: Compared with participants in the lowest tertile of DA change (mean absolute 4.3% health improvement), those in the highest tertile (7.8% worsening) showed a reduction in alcohol intake (beta: -4.32 g/day; 95% CI -7.00 to -1.62; p trend=0.002) and were more likely to quit alcohol (OR: 2.80; 95% CI 1.54 to 5.08; p trend=0.001). The main contributors to decreasing drinking were increased functional impairment and poorer self-rated health, whereas worsening self-rated health, onset of diabetes or stroke and increased prevalence of hospitalisation influenced cessation.

CONCLUSIONS: Health deterioration is related to a subsequent reduction and cessation of alcohol consumption contributing to the growing evidence challenging the protective health effect previously attributed to low-to-moderate alcohol consumption.

27 September 2018 In Drinking & Eating Patterns

BACKGROUND: Recent trends in alcoholic liver disease, alcohol-related emergency room admissions, and alcohol use disorder prevalence as measured by general-population surveys have raised concerns about rising alcohol-related morbidity and mortality in the United States. In contrast, upward trends in per capita alcohol consumption have been comparatively modest.

METHODS: To resolve these discordant observations, we sought to examine trends in the prevalence of alcohol use and binge drinking from 6 regularly or periodically administered national surveys using a meta-analytic approach. Annual or periodic prevalence estimates for past-12-month or past-30-day alcohol use and binge drinking were estimated for available time points between the years 2000 and 2016. Estimates were combined in a random-effects regression model in which prevalence was modeled as a log-linear function of time to obtain meta-analytic trend estimates for the full population and by sex, race, age, and educational attainment.

RESULTS: Meta-analysis-derived estimates of average annual percentage increase in the prevalence of alcohol use and binge drinking were 0.30% per year (95% CI: 0.22%, 0.38%) and 0.72% per year (95% CI: 0.46%, 0.98%), respectively. There was substantial between-survey heterogeneity among trend estimates, although there was notable consistency in the degree to which trends have impacted various demographic groups. For example, most surveys found that the changes in prevalence for alcohol use and binge drinking were large and positive for ages 50 to 64 and 65 and up, and smaller, negative, or nonsignificant for ages 18 to 29.

CONCLUSIONS: Significant increases in the prevalence of alcohol use and of binge drinking over the past 10 to 15 years were observed, but not for all demographic groups. However, the increase in binge drinking among middle-aged and older adults is substantial and may be driving increasing rates of alcohol-related morbidity and mortality.

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