Development and Performance Evaluation of an IoT-Integrated Breath Analyzer.

Although alcohol consumption may produce effects that can be beneficial or harmful, alcohol consumption prevails among communities around the globe. Additionally, alcohol consumption patterns may be associated with several factors among communities and individuals. Numerous technologies and methods are implemented to enhance the detection and tracking of alcohol consumption, such as vehicle-integrated and wearable devices. In this paper, we present a cellular-based Internet of Things (IoT) implementation in a breath analyzer to enable data collection from multiple users via a single device. Cellular technology using hypertext transfer protocol (HTTP) was implemented as an IoT gateway. IoT integration enabled the direct retrieval of information from a database relative to the device and direct upload of data from the device onto the database. A manually developed threshold algorithm was implemented to quantify alcohol concentrations within a range from 0 to 200 mcg/100 mL breath alcohol content using electrochemical reactions in a fuel-cell sensor. Two data collections were performed: one was used for the development of the model and was split into two sets for model development and on-machine validation, and another was used as an experimental verification test. An overall accuracy of 98.16% was achieved, and relative standard deviations within the range from 1.41% to 2.69% were achieved, indicating the reliable repeatability of the results. The implication of this paper is that the developed device (an IoT-integrated breath analyzer) may provide practical assistance for healthcare representatives and researchers when conducting studies involving the detection and data collection of alcohol consumption patterns.

Alcohol Consumption Patterns: A Systematic Review of Demographic and Sociocultural Influencing Factors.

BACKGROUND: Excessive alcohol consumption has negative effects not only on the drinkers' health but also on others around them. Previous studies suggest that excessive alcohol consumption can be related to a combination of factors such as age, family background, religiosity, etc. Investigating and clarifying these roots of alcohol consumption is crucial so that the right type of interventions can be designed in a specific and targeted manner. OBJECTIVES: This work was conducted as a systematic review to reveal the factors associated with alcohol consumption and to heighten the understanding of the differences among various communities and segments of the population regarding their usage of alcohol. DATA SOURCES: A systematic search of Web of Science, PubMed, ScienceDirect, and Google Scholar was performed. RESULTS: Forty-five studies were included in the review after excluding irrelevant records and duplicates. CONCLUSIONS: Alcohol consumption patterns can be associated with several factors related to communities and individuals, and our review revealed demographic factors, including age and proximity to alcohol outlets, as well as social factors, including family background, socioeconomic background, and religious influence. These findings can be used to establish a guideline for further studies in understanding alcohol consumption patterns among individuals according to their personal characteristics and sociocultural backgrounds.

Prevalence and risk factors associated with alcohol consumption among indigenous people in Sabah Borneo Island.

OBJECTIVES: In this study, we aimed to determine the prevalence and risk factors of alcohol use among a cohort of population in Sabah. DESIGN: This is a prospective, cohort study involving rural community residents. SETTING: Rural community resident at Bingkor, Keningau, Sabah. PARTICIPANTS: 363 individuals aged 13 years old and above. INTERVENTION: Community-based participatory research to determine the prevalence and risk factors associated with alcohol use. MAIN OUTCOME MEASURES: Measurement of alcohol use using Alcohol Use Disorders Identification Test (AUDIT) and assessment of psychiatric morbidity using Mini International Neuropsychiatric Interview (MINI) questionnaires. RESULTS: Most alcohol drinkers aged between 36-45 years old, followed by 26-35 years old and 46-55 years old. Interestingly, there are almost similar female to male ratio. Most were Kadazan-Dusun ethnic, non-Muslims, and married. Although only less than a third of the participants received tertiary education, the majority were working. Based on the findings, being a male, non-Muslim and having an obsessive-compulsive disorder (OCD) (current) posed a significantly higher risk of alcohol consumption. CONCLUSION: A worryingly high prevalence of hazardous alcohol consumption among the locals is reported. There is a need for population-wide intervention towards preventive measures based on the identified risk factors for hazardous alcohol use.