了解科伦坡区男性的酒精使用情况:一个横截面调查
Mahesh Kumbukage1, Neil Thalagala2, Vindya Kumarapeli3
1Postgraduate Institute of Medicine, University of Colombo, Colombo, Sri Lanka.
BMJ public health
|April 29, 2025
概括
在斯里兰卡的科伦坡,超过一半的成年男性曾喝过酒,其患病率因人口统计学而异. 虽然过去30天的使用是显著的,但过度饮酒和每日饮酒低于全球平均水平.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 社会学 社会学 社会学
背景情况:
- 酒精消费在斯里兰卡是一个重大的公共卫生挑战,导致疾病和社会经济问题.
- 在包括斯里兰卡在内的东南亚国家,人均酒精消费量上升.
- 了解当地消费模式对于有针对性的干预至关重要.
研究的目的:
- 为了确定斯里兰卡科伦坡地区成年男性的酒精消费率.
- 调查该人口中酒精使用的模式和社会人口统计学变化.
主要方法:
- 从2019年6月到2020年6月,进行了一项基于社区的分析横截面研究.
- 多阶段的集群采样包括科伦坡区58个集群中的1160名参与者.
- 从1106名成年男性中收集数据.
主要成果:
- 在科伦坡,53.4%的成年男性曾在某个时候喝过酒,29.3%的人报告说在过去30天内喝过酒.
- 在各个社会人口统计学群体中,酒精使用的流行率各不相同.
- 过度饮酒和日常饮酒量明显低于全球和国家数据,尽管临时雇员和老年人群的消费量更高.
结论:
- 在科伦坡的成年男性中,酒精消费仍然很普遍,观察到不同的模式.
- 调查结果强调,需要进行持续的研究和政策制定,以减轻酒精对健康和社会的影响.
- 这些见解有助于了解斯里兰卡的特定酒精消费趋势.
相关概念视频
Cross-Sectional Research
11.1K
In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
11.1K
Hypothesis Test for Test of Independence
3.4K
The test of independence is a chi-square-based test used to determine whether two variables or factors are independent or dependent. This hypothesis test is used to examine the independence of the variables. One can construct two qualitative survey questions or experiments based on the variables in a contingency table. The goal is to see if the two variables are unrelated (independent) or related (dependent). The null and alternative hypotheses for this test are:
H0: The two variables (factors)...
H0: The two variables (factors)...
3.4K
Observational Studies
8.1K
Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
8.1K
Surveys
14.7K
Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
14.7K
Convenience Sampling Method
8.5K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population.
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
8.5K
Introduction to Test of Independence
2.1K
In statistics, the term independence means that one can directly obtain the probability of any event involving both variables by multiplying their individual probabilities. Tests of independence are chi-square tests involving the use of a contingency table of observed (data) values.
The test statistic for a test of independence is similar to that of a goodness-of-fit test:
The test statistic for a test of independence is similar to that of a goodness-of-fit test:
2.1K


