PDF(Pubmed)
Abstract：
BACKGROUND: Males have a shorter life expectancy than females. Men are less likely to seek the advice of a health professional or utilise preventive health services and programs. This study seeks to explore health literacy and the characteristics affecting this among Australian men.
METHODS: Four hundred and thirty-one adult males engaged with the New South Wales Rural Fire Service, completed an online cross-sectional survey, undertaken from September - November 2022. The survey tool captured demographic data, health status and lifestyle risk characteristics. Health literacy was measured using the 44-item Health Literacy Questionnaire (HLQ). Descriptive statistics, frequencies, percentages, means and standard deviations, were used to describe the sample. Interferential statistics, including the Mann-Whitney U Test and the Kruskal-Wallis Test, were used to explore differences between demographics and HLQ scales.
RESULTS: For the first 5 scales (4-point Likert scale), the lowest score was seen for \'Appraisal of health information\' (Mean 2.81; SD 0.52) and the highest score was seen for \'Feeling understood and supported by healthcare providers \' (Mean 3.08; SD 0.64). For the other 4 scales (5-point Likert scale), the lowest score was seen for \'Navigating the healthcare system\' (Mean 3.74; SD 0.69). The highest score was seen for \'Understand health information well enough to know what to do\' (Mean 4.10; SD 0.53). Age, income level and living in an urban/rural location were significantly related to health literacy scales.
CONCLUSIONS: This study provides new insight into men\'s health literacy and the factors impacting it. This knowledge can inform future strategies to promote men\'s engagement with health services and preventive care.
METHODS: Four hundred and thirty-one adult males engaged with the New South Wales Rural Fire Service, completed an online cross-sectional survey, undertaken from September - November 2022. The survey tool captured demographic data, health status and lifestyle risk characteristics. Health literacy was measured using the 44-item Health Literacy Questionnaire (HLQ). Descriptive statistics, frequencies, percentages, means and standard deviations, were used to describe the sample. Interferential statistics, including the Mann-Whitney U Test and the Kruskal-Wallis Test, were used to explore differences between demographics and HLQ scales.
RESULTS: For the first 5 scales (4-point Likert scale), the lowest score was seen for \'Appraisal of health information\' (Mean 2.81; SD 0.52) and the highest score was seen for \'Feeling understood and supported by healthcare providers \' (Mean 3.08; SD 0.64). For the other 4 scales (5-point Likert scale), the lowest score was seen for \'Navigating the healthcare system\' (Mean 3.74; SD 0.69). The highest score was seen for \'Understand health information well enough to know what to do\' (Mean 4.10; SD 0.53). Age, income level and living in an urban/rural location were significantly related to health literacy scales.
CONCLUSIONS: This study provides new insight into men\'s health literacy and the factors impacting it. This knowledge can inform future strategies to promote men\'s engagement with health services and preventive care.
摘要：
背景：男性的预期寿命比女性短。男性不太可能寻求健康专业人士的建议或利用预防性健康服务和计划。这项研究旨在探索澳大利亚男性的健康素养及其影响特征。
方法：4131名成年男性参与新南威尔士州农村消防局，完成了一项在线横断面调查，从2022年9月至11月进行。调查工具捕获了人口统计数据，健康状况和生活方式风险特征。使用44项健康素养问卷（HLQ）测量健康素养。描述性统计，频率,百分比,均值和标准差，用于描述样本。干扰统计，包括Mann-WhitneyU测试和Kruskal-Wallis测试,用于探索人口统计和HLQ量表之间的差异。
结果：对于前5个量表（4分利克特量表），"健康信息评价"得分最低(平均2.81;SD0.52),"医疗保健提供者理解和支持的感觉"得分最高(平均3.08;SD0.64).对于其他4个量表（5点Likert量表），最低评分为“导航医疗保健系统”(平均值3.74;SD0.69).得分最高的是“充分了解健康信息以知道该做什么”（平均值4.10；SD0.53）。年龄,收入水平和生活在城市/农村地区与健康素养量表显著相关。
结论：这项研究为男性的健康素养及其影响因素提供了新的见解。这些知识可以为未来的策略提供信息，以促进男性参与卫生服务和预防保健。
方法：4131名成年男性参与新南威尔士州农村消防局，完成了一项在线横断面调查，从2022年9月至11月进行。调查工具捕获了人口统计数据，健康状况和生活方式风险特征。使用44项健康素养问卷（HLQ）测量健康素养。描述性统计，频率,百分比,均值和标准差，用于描述样本。干扰统计，包括Mann-WhitneyU测试和Kruskal-Wallis测试,用于探索人口统计和HLQ量表之间的差异。
结果：对于前5个量表（4分利克特量表），"健康信息评价"得分最低(平均2.81;SD0.52),"医疗保健提供者理解和支持的感觉"得分最高(平均3.08;SD0.64).对于其他4个量表（5点Likert量表），最低评分为“导航医疗保健系统”(平均值3.74;SD0.69).得分最高的是“充分了解健康信息以知道该做什么”（平均值4.10；SD0.53）。年龄,收入水平和生活在城市/农村地区与健康素养量表显著相关。
结论：这项研究为男性的健康素养及其影响因素提供了新的见解。这些知识可以为未来的策略提供信息，以促进男性参与卫生服务和预防保健。
