Heterogeneity in trends of alcohol use around the world: Do policies make a difference?

Rehm, Jürgen; Babor, Thomas F.; Casswell, Sally; Room, Robin

doi:10.1111/dar.13248

Cited by 10 publications

(9 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Whole-of-population consumption-centred approaches are highly cost-effective at reducing harmful alcohol use in general, alongside restrictions on marketing and brief interventions [ 102 ]. Furthermore, although most evidence in support of consumption-centred approaches has been derived from high-income countries, they are also highly effective in middle- and low-income countries when implemented appropriately [ 103 ].…”

Section: Effective Interventions and Policiesmentioning

confidence: 99%

Alcohol and the Risk of Injury

Chikritzhs

Livingston

2021

Nutrients

View full text Add to dashboard Cite

Globally, almost four and a half million people died from injury in 2019. Alcohol’s contribution to injury-related premature loss of life, disability and ill-health is pervasive, touching individuals, families and societies throughout the world. We conducted a review of research evidence for alcohol’s causal role in injury by focusing on previously published systematic reviews, meta-analyses and where indicated, key studies. The review summarises evidence for pharmacological and physiological effects that support postulated causal pathways, highlights findings and knowledge gaps relevant to specific forms of injury (i.e., violence, suicide and self-harm, road injury, falls, burns, workplace injuries) and lays out options for evidence-based prevention.

show abstract

Section: Effective Interventions and Policiesmentioning

confidence: 99%

Alcohol and the Risk of Injury

Chikritzhs

Livingston

2021

Nutrients

View full text Add to dashboard Cite

show abstract

“…Finally, alcohol control policies, such as the so called ‘best‐buys’ [64], have shown to be effective and reduce alcohol use even in countries with growing economies like India [2]. Given India's vast regional differences in alcohol use, the findings of this study may guide the prioritisation of cost‐effective alcohol policies for regions, where the use of alcohol, especially among males, is more prevalent, such as in north‐eastern India, Chhattisgarh, Telangana, Himachal Pradesh, Punjab and Jharkhand.…”

Section: Discussionmentioning

confidence: 99%

“…Alcohol use is a leading risk factor for the global burden of disease [1, 2]. Over the past decade, alcohol use decreased in high‐income countries, whereas increases were observed in several low‐ and middle‐income countries in Southeast Asia, including India, where alcohol use led to an estimated 340 000 deaths and 14.7 million disability‐adjusted life years in 2019 [3, 4].…”

Section: Introductionmentioning

confidence: 99%

“…Compared to high‐income countries, the disease burden from alcohol is more pronounced in middle‐income countries like India [9]. Uniquely high APC levels and a high prevalence of heavy episodic drinking among drinkers further enhance India's harm attributable to alcohol [2, 8]. Hence, given the limited resources available to the health care system, targeted prevention of alcohol‐attributable burden is key for India's public health.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Alcohol consumption in India: a systematic review and modelling study for sub‐national estimates of drinking patterns

et al. 2022

View full text Add to dashboard Cite

Background and Aims In India, alcohol per capita consumption (APC) has substantially increased over the past 2 decades. Although consumption does vary across the country, consistent state‐level data are lacking. We aimed to identify all state‐level alcohol exposure estimates since 2000 to (i) model consistent current drinking (CD) (12 months) prevalence estimates for all 36 states/union territories (UT) in 2019 and (ii) compare state‐level CD trends with national‐level APC trends. Design A systematic review for studies on the Indian state‐level prevalence of CD, lifetime abstinence (LA), alcohol use disorders (AUD) or the quantity of alcohol consumed among current drinkers (QU) was conducted. Subsequently, statistical modelling was applied. Setting Data were collected and modelled for all Indian states/UTs. Participants Studies since 2000 referring to the general adult population (≥15 years) of at least one Indian state/UT were eligible. The total sample size covered was ~29 600 000 (males: females, 1:1.6). Measurements Results on LA, AUD and QU were summarized descriptively. For (i) the state‐, sex‐ and age‐specific CD prevalence was estimated using random intercept fractional response models. For (ii) random intercept and slope models were performed. Findings Of 2870 studies identified, 30 were retained for data extraction. LA, AUD and QU data were available for 31, 36 and 12 states/UTs, respectively. CD model estimates ranged from 6.4% (95% CI = 2.1%–18.1%; males) in Lakshadweep and 1.3% (95% CI = 0.7%–2.6%; females) in Delhi to 76.1% (95% CI = 68.1%–82.6%; males) and 63.7% (95% CI = 49.4%–75.7%; females) in Arunachal Pradesh. Over time, CD decreased in most states/UTs in the observed data, contradicting increasing national‐level APC trends. Conclusions Alcohol use (measured as consistent current drinking) in India has large regional variations, with alcohol consumption being most prevalent in the North‐East, Chhattisgarh, Telangana, Himachal Pradesh, Punjab and Jharkhand.

show abstract

“…Obviously, as these are not randomized experiments, but essentially before-and-after comparisons, the more relevant control variables that are included, the better [19], though there are limitations due to sample size and statistical power, and there is always the possibility of overfitting regression models [20]. Most of these potential confounders will be economic variables, as short-and medium-term changes at the level of alcohol consumption have been shown to depend to a large degree on economic factors [2,[21][22][23]. Thus, statistically controlling for important confounders such as inflation, unemployment, or gross domestic product will help rule out alternative explanations.…”

Section: General Design Of Alcohol Control Policy Evaluationsmentioning

confidence: 99%

Classifying Alcohol Control Policies with Respect to Expected Changes in Consumption and Alcohol-Attributable Harm: The Example of Lithuania

Rehm¹,

Štelemėkas²,

Ferreira‐Borges³

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

Given the high levels of overall volume of alcohol use, detrimental drinking patterns, and high levels of alcohol-attributable mortality and burden of disease, Lithuania implemented a series of alcohol control policies within a relatively short period of time (2008 to 2019). Based on their expected impact on alcohol consumption and alcohol-attributable harm, as well as their target population, the respective policies were classified using a set of objective criteria and expert opin-ion. The classification criteria included: positive vs. negative outcomes, mainly immediate versus delayed outcomes, and general population versus specific group outcomes. The judgement of the alcohol policy experts converged on the objective criteria, and, as a result, two tiers of inter-vention were identified: Tier 1 – general population interventions with an anticipated immediate impact; Tier 2 – other interventions aimed at the general population. In addition, interventions for specific populations were identified. This adaptable methodological approach to alcohol control policy classification is intended to provide guidance and support the evaluation of alcohol policies elsewhere, lay the foundation for the critical assessment of the respective policies to im-prove health and increase life expectancy, and to reduce crime and violence.

show abstract

Heterogeneity in trends of alcohol use around the world: Do policies make a difference?

Cited by 10 publications

References 31 publications

Alcohol and the Risk of Injury

Alcohol and the Risk of Injury

Alcohol consumption in India: a systematic review and modelling study for sub‐national estimates of drinking patterns

Classifying Alcohol Control Policies with Respect to Expected Changes in Consumption and Alcohol-Attributable Harm: The Example of Lithuania

Contact Info

Product

Resources

About