The Influence of Health Behaviors and Sleep related Factors on Cognitive Function in the Elderly Hypertensive Patients

Kim, Ahrin; Jeon, Hae Ok

doi:10.5762/kais.2015.16.10.7078

Cited by 4 publications

(1 citation statement)

References 28 publications

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“…In addition, a study that analyzed health behaviors by type of household reported that the smoking and high-risk drinking rates were 10% higher in older adults with a spouse, while walking rate did not significantly differ according to the type of household [ 16 ]. On the other hand, older adults without a spouse showed a higher smoking rate, lower exercise frequency, higher obesity rate, and poorer self-rated health than older adults with a spouse [ 17 ]. Although the study findings pertaining to the effects of having a spouse on each component of healthy living practice are inconsistent, the results suggested that older adults’ demographic characteristics have a negative or positive effect on healthy living practices.…”

Section: Discussionmentioning

confidence: 99%

Factors Influencing the Practice of Healthy Living as an Integrated Indicator of the Elderly’s Drinking, Smoking, and Walking Patterns: Using Korea Community Health Surveys

Kim

Choo

Noh

2022

IJERPH

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In this study, the researchers investigated the factors influencing regional disparities in the practice of healthy living for the elderly in Busan and Gyeongnam. A cross-sectional study was utilized to integrate raw data from the Korea Community Health Survey (KCHS) in 2015, 2017, and 2019. The KCHS included respondents from the Busan Metropolitan and Gyeongnam regions. Based on the socioecological model, healthy living practices were selected as the dependent variable, and other factors, such as personal, interpersonal, and community factors, were selected as independent variables. Bivariate chi-square test, independent t-test, and logistic regression analyses were performed using SPSS/WIN version 26.0. According to the results, community factors were significant predictors of healthy living practices in Busan, while interpersonal factors were the predictors in the Gyeongnam region. Moreover, personal factors impacted healthy living practices but differed significantly between regions. In particular, the living environment and unmet healthcare needs were significant predictors for Busan and Gyeongnam regions, respectively, indicating the need to improve the environment and physical access to healthcare resources in the urban community. Through the results of our study, we highlight the need to implement policies and strategies tailored to personal and environmental factors to improve healthy living practices in older adults.

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Section: Discussionmentioning

confidence: 99%

Factors Influencing the Practice of Healthy Living as an Integrated Indicator of the Elderly’s Drinking, Smoking, and Walking Patterns: Using Korea Community Health Surveys

Kim

Choo

Noh

2022

IJERPH

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Factors Associated with Sleep Quality in Patients with Coronary Artery Disease

Lee¹,

Hwang²

2023

J Korean Crit Care Nurs

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Purpose : This study aimed to examine the relationship between sleep quality and its influencing factors in patients with coronary artery disease (CAD).Methods : This descriptive correlational study included 130 patients with CAD admitted to the cardiology department of a general hospital in B City between September 2019 and February 2020. Data were collected using structured questionnaires and research instruments to measure sleep quality, anxiety, depression, chronotype, and daytime sleepiness.Results : The mean scores for sleep quality, daytime sleepiness, anxiety, and depression were 7.59±3.45, 6.45±3.46, 6.58±3.88, and 7.74±4.05, respectively. In terms of chronotypes, 10.8%, 48.5%, and 40.7% of the participants had evening-, intermediate-, and morning-type patterns, respectively. Sleep quality was significantly correlated with anxiety (r=0.38, p＜.001), depression (r=.37, p＜.001), and daytime sleepiness (r=.26, p =.002). Factors associated with sleep quality in patients with CAD included anxiety (β=.29), heart failure (β=.22), daytime sleepiness(β=.21), and sleeping alone (β=.19). Collectively, these factors had an explanatory power of 23.1% for sleep quality variance.Conclusion: Patients with CAD often experience poor sleep quality owing to various factors such as anxiety, daytime sleepiness, heart failure, and sleeping alone. It is recommended that healthcare providers objectively evaluate sleep and identify factors that influence sleep quality. This will enable the development of effective methods for sleep management as part of nursing care.

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