Trends in inequalities of alcohol-related harms among Thai households: 2007-2017

National and regional prevalence of interpersonal violence from others' alcohol use: a systematic review and modelling study

Background

While alcohol use is an established risk factor for interpersonal violence, the extent to which people are affected by interpersonal violence from others' drinking has not yet been quantified for different world regions. This modelling study aims to provide the first estimates of the national and regional prevalence of interpersonal violence from others' drinking.

Methods

An international systematic literature search (02/28/2023, Prospero: CRD42022337364) was conducted to identify general adult population studies assessing the prevalence of interpersonal violence from others' drinking with no restrictions to publication date or language. Reports that did not provide data on interpersonal violence from others' drinking (primary outcome), were no original research studies, or captured a selected group of people only, were excluded. Observed prevalence data were extracted and used to build fractional response regression models to predict past-year prevalence of emotional and physical violence from others' drinking in 2019. Random-effects meta-regression models were used to aggregate the observed prevalence of sexual and intimate partner violence. Study risk of bias (ROB) was assessed using a modified version of the Newcastle-Ottawa Scale.

Findings

Out of 13,835 identified reports, 50 were included covering just under 830,000 individuals (women: 347,112; men: 322,331; men/women combined: 160,057) from 61 countries. With an average prevalence of 16·8% (95% CI: 15·2-18·3%) and 28·3% (95% CI: 23·9-32·4%) in men and women combined in the GBD super regions High Income and Central Europe, Eastern Europe, & Central Asia, respectively, emotional violence was the most common form of interpersonal violence from others' drinking. Physical violence averaged around 3% (women) and 5% (men) in both regions. The pooled prevalence of sexual violence from others' drinking in men and women was 1·3% (95% CI: 0·5-3·3%, 95% PI: 0·1-16·9%) and 3·4% (95% CI: 1·4-8·3%, 95% PI: 0·2-35·3%), respectively, and ranged between 0·4% (95% CI: 0·1-1·6%, 95% PI: 0·0-7·3%) and 2·7% (95% CI: 1·1-6·3%, 95% PI: 0·2-30·0%) for different forms of intimate partner violence. ROB was moderate or critical for most reports; accounting for critical ROB did not substantially alter our results.

Interpretation

The share of the population experiencing harms from others' drinking is significant and should be an integral part of public health strategies.

Funding

Research reported in this publication was supported by the Canadian Institutes of Health Research (CIHR; grant: CIHR FRN 477887).

Mapping Problematic Drinking Trends over Time in Urban, Semi-Urban, and Rural Populations

Current alcohol public health policy in Australia is not uniform but is generally focused on restricting access and early prevention of problematic alcohol use. Semi-urban and rural populations are at greater risk of disease and other poor health outcomes due to a variety of factors. Little is known about problematic drinking patterns over time in semi-urban and rural populations. This study aims to assess patterns of problematic drinking defined as both long-term risky and heavy episodic drinking over time by age, sex, and mental health status among urban, semi-urban and rural populations). Four waves (2004 to 2016) of the Australian NDSHS (National Drug Strategy Household Survey) were analyzed to assess problematic drinking of participants over 18 years of age. We used regression models and predictive margins to identify trends in problematic drinking over time based on age, sex, and mental health status. Our results show young adults across all regions, males, and mentally well individuals in urban areas have reductions in the risk of problematic drinking over time. Middle-aged adults across all regions, females, and those with varying mental health presentations in rural areas have some increases in risk of problematic drinking over time. The general conclusion is that targeted alcohol-related public health policy may need to change and focus on females, middle-aged individuals, and those living in rural areas. Programs to support problematic drinking in people with mental health disorders may also need to be a priority.

Socioeconomic inequalities in alcohol consumption in Argentina: Comparative analysis from 2009, 2013, and 2018

BACKGROUND

The present study investigates the socioeconomic inequalities in alcohol use and harmful drinking in Argentina, a middle-income beer- and wine-producing country with high levels of alcohol consumption.

METHODS

Data from the last three waves (2009, 2013, and 2018) of the National Risk Factors Survey were used. Each wave comprised samples of 34,732, 32,365, and 29,224 individuals, respectively. Outcome measures included the prevalence of alcohol use and heavy episodic drinking (HED). The Erreygers concentration index was employed to measure the socioeconomic inequalities.

RESULTS

HED prevalence among drinkers increased from 17 % in 2009 to 25 % in 2018. Overall, the results showed significant pro-rich inequality for alcohol use and pro-poor inequality for HED, indicating that while a smaller proportion of the most disadvantaged population consumed alcohol, harmful drinking tended to concentrate among them. Pro-rich inequality for alcohol use was deeper in the population aged 25+, particularly among women. HED among males aged 35+ showed the highest inequality against lower income groups. During the period analyzed, the group aged 18-24 years had the highest HED prevalence as well as the greatest increase in this measure; it tended to be equally distributed across socioeconomic groups, presenting no socioeconomic inequality by 2018.

CONCLUSIONS

These results highlight the importance of the assessment and characterization of the most exposed population to alcohol and harmful drinking. Regardless of their socioeconomic status, the young population was identified as a group for targeted interventions because of its greater alcohol exposure and the potential growth in economic and social burdens.

Gender differences in geriatric syndromes as mental illness and nervous system diseases in hospitalized Thai older patients

BACKGROUND

Older persons are affected by mental and neurological disorders differently, and gender plays a significant role influencing geriatric disorder differentiation. Accordingly this study characterized gender differences in geriatric syndromes among hospitalized elderly Thai patients.

METHODS

Probabilities of disease occurrence reflecting gender differences were calculated using historical data obtained from the Ministry of Public Health website, Thailand. We selected older patients aged 60 years and above admitted to inpatient departments in public hospitals with mental disorders and nervous system diseases from 2014 to 2018, counting over 160 000 cases each year. Descriptive statistics and odds ratios (ORs) were used to analyse and demonstrate gender differences.

RESULTS

Compared to older females, older males had higher occurrences of four mental disorders revealed by OR and 95% confidence interval (CI) values: substance abuse (5.74, 5.08-6.49), alcohol use (5.66, 5.44-5.89), behavioural problems (1.34, 1.31-1.37), and schizophrenia (1.10, 1.06-1.14). Lower incidences for older males were seen in the same values for three mental disorders: neurotic issues (0.46, 0.44-0.49), mood disorders (0.58, 0.56-0.60), and dementia (0.91, 0.88-0.94). For neurological disorders, men had similar higher incidences for epilepsy (1.67, 1.63-1.72), cerebral palsy (1.61, 1.57-1.65), nervous system inflammatory diseases (1.53, 1.46-1.60), ischaemic attacks (1.42, 1.36-1.48), miscellaneous other nervous disorders (1.20; 1.18-1.22), and Parkinson's disease (1.15, 1.12-1.19). By contrast, older men had lower incidences of multiple sclerosis (0.55, 0.35-0.86), migraines (0.66, 0.62-0.70), and Alzheimer's disease (0.75, 0.71-0.78).

CONCLUSION

Accurate characterization of gender differences in geriatric syndromes can better inform policies for appropriate early detection and prevention, and contribute to the development of treatment and intervention for various issues affecting elderly men and women's health.