The Social Support Theory as a Predictor of Sleep Hygiene Behaviors Among Older Adults

Q3 Social Sciences
Maryam Zanghaneh, S. Bashirian, Erfan Ayoubi, M. Barati, Ali Mirbeyghi
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Abstract

Background: Aging is associated with several health concerns, including sleep problems. Hence, the current study was conducted to determine the factors related to the performance of sleep hygiene behaviors among the elderly in Malair based on the social support theory. Methods: Data for this cross-sectional study were collected from 298 older adults who referred to comprehensive health centers in Malair, Iran, in 2022. Participants were selected by multi-stage random sampling method. Data collection tools included demographic information, social support theory, and sleep hygiene behaviors questionnaires. Data were then analyzed by SPSS software version 18 using independent t-test, one-way ANOVA, Pearson correlation, and linear regression. Results: According to the findings, among sleep hygiene behaviors, light and sound control behaviors to the minimum possible extent during sleep time (71.1%) and proper bedroom temperature control (68.5%) had the highest frequency. Furthermore, regular exercise behaviors such as walking outside homes in the evenings (16.4%) and examining the effect of drugs on sleep (24.8%) were the least frequent performance by the elderly. The results of linear regression analysis showed that instrumental support (β=0.297), informational support (β=0.224), and emotional support (β=0.15) are the best predictors of performing sleep hygiene behaviors. Moreover, the constructs of social support theory explained a 44.2% variance in sleep hygiene behaviors of the elderly. Conclusion: Considering the unfavorable level of some sleep hygiene behaviors among the elderly, it seems necessary to emphasize the importance of performing sleep hygiene behaviors. It is also suggested to pay attention to instrumental, informational, and emotional support when designing educational programs to increase the amount of the performance of these behaviors.
预测老年人睡眠卫生行为的社会支持理论
背景:衰老与包括睡眠问题在内的多种健康问题有关。因此,本研究以社会支持理论为基础,确定与马莱尔老年人睡眠卫生行为表现相关的因素。研究方法这项横断面研究的数据收集自 2022 年在伊朗马莱尔综合保健中心转诊的 298 名老年人。研究对象通过多阶段随机抽样法选出。数据收集工具包括人口统计学信息、社会支持理论和睡眠卫生行为问卷。然后采用独立 t 检验、单因素方差分析、皮尔逊相关和线性回归等方法,用 SPSS 软件版本 18 对数据进行分析。结果调查结果显示,在睡眠卫生行为中,尽可能减少睡眠时间的光线和声音控制行为(71.1%)以及适当控制卧室温度(68.5%)的频率最高。此外,定期锻炼行为,如晚上到户外散步(16.4%)和检查药物对睡眠的影响(24.8%)是老年人最不经常做的行为。线性回归分析结果显示,工具支持(β=0.297)、信息支持(β=0.224)和情感支持(β=0.15)是预测睡眠卫生行为的最佳指标。此外,社会支持理论的建构解释了老年人睡眠卫生行为中 44.2% 的方差。结论考虑到老年人某些睡眠卫生行为的不良程度,似乎有必要强调实施睡眠卫生行为的重要性。此外,还建议在设计教育计划时关注工具支持、信息支持和情感支持,以提高这些行为的实施率。
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来源期刊
Journal of Education and Community Health
Journal of Education and Community Health Social Sciences-Education
CiteScore
1.90
自引率
0.00%
发文量
0
审稿时长
8 weeks
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