Kyungwon Choi; EunA Park; In-Sook Lee

doi:10.4040/jkan.2012.42.2.291

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Original Article
Homebound status and Related Factors According to Age in Female Elders in the Community: Kyungwon Choi, EunA Park, In-Sook Lee; Journal of Korean Academy of Nursing 2012;42(2):291-301.
DOI: https://doi.org/10.4040/jkan.2012.42.2.291
Published online: April 30, 2012

¹Full-time lecturer, Department of Nursing, Hyechon University, Daejeon, Korea.

²Doctoral Student, College of Nursing, Seoul National University, Seoul, Korea.

³Professor, College of Nursing, Seoul National University, Seoul, Korea.

Address reprint requests to: Park, EunA. The Building for Research of College of Nursing, 406?? 28 Yeongeon-dong, Jongro-Gu, Seoul National University, Seoul, Republic of Korea. Tel: +82-2-740-8468, 010-3999-1673, Fax: +82-2-741-1574, pea0701@hanamil.net

• Received: July 19, 2011 • Accepted: April 26, 2012

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Abstract
REFERENCES

Abstract

Purpose
The purpose of this study was to investigate homebound status and significant related factors for community-dwelling female elders according to age.
Methods
The participants were female elders over 65 years of age registered in public health centers. Data were collected by interviewing the elders, who voluntarily completed the entire survey. For data analysis, descriptive statistics and multiple logistic regression were performed using SPSS version 18.0.
Results
There were statistically significant differences in homeboundness and related factors between the young-old (65 to 74 years of age) and the old-old (75 years of age or older). The level of homeboundness of the old-old was higher than that of the young-old. Multiple logistic regression showed, timed "up and go", depression, and fear of falling as significantly associated with homebound status of the young-old, while hand grip strength (right), timed "up and go", static balance ability, severity of urinary incontinence, and fear of falling as significant for the old-old.
Conclusion
The findings of this study indicate that homebound status and related factors for elders are different according to age, and therefore, interventions to prevent and help homebound elders get over being homebound should be developed according to age.
Keywords: Homebound persons; Female; Aged

REFERENCES

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Table 1

Participant Characteristics according to Age Difference (N=3,024)

^*Young-old: 65-74 years old of age; ^†Old-old: 75 years old of age or over.

Table 2

Comparison of Characteristics according to Homebound Status for Young-old Participants (N=1091)

^*Fisher's exact test.

Table 3

Comparison of Characteristics according to Homebound Status for Old-old Participants (N=1933)

Table 4

Predictors of Homebound Status of Young-old Participants by Multiple Logistic Regression Analysis (N=1091)

^*Adjusted variables: Education level, health insurance, number of family members.

Table 5

Predictors of Homebound Status of Old-old Participants by Multiple Logistic Regression Analysis (N=1933)

^*Adjusted variables: Education level, health insurance, number of family members.

Figure & Data

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Homebound status and Related Factors According to Age in Female Elders in the Community

J Korean Acad Nurs. 2012;42(2):291-301. Published online April 30, 2012

DOI: https://doi.org/10.4040/jkan.2012.42.2.291

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Homebound status and Related Factors According to Age in Female Elders in the Community

Table 1

Participant Characteristics according to Age Difference (N=3,024)

^*Young-old: 65-74 years old of age; ^†Old-old: 75 years old of age or over.

Table 2

Comparison of Characteristics according to Homebound Status for Young-old Participants (N=1091)

^*Fisher's exact test.

Table 3

Comparison of Characteristics according to Homebound Status for Old-old Participants (N=1933)

Table 4

Predictors of Homebound Status of Young-old Participants by Multiple Logistic Regression Analysis (N=1091)

^*Adjusted variables: Education level, health insurance, number of family members.

Table 5

Predictors of Homebound Status of Old-old Participants by Multiple Logistic Regression Analysis (N=1933)

^*Adjusted variables: Education level, health insurance, number of family members.

Table 1 Participant Characteristics according to Age Difference (N=3,024)

^*Young-old: 65-74 years old of age; ^†Old-old: 75 years old of age or over.

Table 2 Comparison of Characteristics according to Homebound Status for Young-old Participants (N=1091)

^*Fisher's exact test.

Table 3 Comparison of Characteristics according to Homebound Status for Old-old Participants (N=1933)

Table 4 Predictors of Homebound Status of Young-old Participants by Multiple Logistic Regression Analysis (N=1091)

^*Adjusted variables: Education level, health insurance, number of family members.

Table 5 Predictors of Homebound Status of Old-old Participants by Multiple Logistic Regression Analysis (N=1933)

^*Adjusted variables: Education level, health insurance, number of family members.