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Life satisfaction in individuals age...

Oklahoma State University., Education (all programs).

Life satisfaction in individuals age sixty-five years of age and older.

紀錄類型:	書目-電子資源 : 單行本
正題名/作者:	Life satisfaction in individuals age sixty-five years of age and older./
作者:	Wallace, Tia Jaclyn.
面頁冊數:	161 p.
附註:	Source: Dissertation Abstracts International, Volume: 69-12, Section: B, page: .
Contained By:	Dissertation Abstracts International69-12B.
標題:	Gerontology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3341769
ISBN:	9780549975380

Life satisfaction in individuals age sixty-five years of age and older.
Wallace, Tia Jaclyn.

Life satisfaction in individuals age sixty-five years of age and older. - 161 p.

Source: Dissertation Abstracts International, Volume: 69-12, Section: B, page: .

Thesis (Ph.D.)--Oklahoma State University, 2008.

Scope and Method of Study. The purpose of this educational research study was to investigate whether various variables (exercise, ethnicity, gender, socioeconomic status, and retirement) had an effect on the quality of life in individual's age 65 years of age and older. The sample consisted of 793 participants (407 males and 386 females), living in the Greater Oklahoma City area, who were enrolled in the SecureHorizonsRTM healthcare plan. The SF-36v2RTM Health Survey calculated physical component summary scores, as well as mental component summary scores. These scores were then used to find significance in SPSS.

ISBN: 9780549975380Subjects--Topical Terms:

168436
Gerontology.

Life satisfaction in individuals age sixty-five years of age and older.
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245 1 0 $a Life satisfaction in individuals age sixty-five years of age and older.
300 $a 161 p.
500 $a Source: Dissertation Abstracts International, Volume: 69-12, Section: B, page: .
500 $a Adviser: Bert Jacobson.
502 $a Thesis (Ph.D.)--Oklahoma State University, 2008.
520 $a Scope and Method of Study. The purpose of this educational research study was to investigate whether various variables (exercise, ethnicity, gender, socioeconomic status, and retirement) had an effect on the quality of life in individual's age 65 years of age and older. The sample consisted of 793 participants (407 males and 386 females), living in the Greater Oklahoma City area, who were enrolled in the SecureHorizonsRTM healthcare plan. The SF-36v2RTM Health Survey calculated physical component summary scores, as well as mental component summary scores. These scores were then used to find significance in SPSS.
520 $a Findings and Conclusions. Independent t-tests revealed significant differences between low exercisers and high exercisers' physical component and mental component life satisfaction scores (SF-36v2RTM); physical component scores (t = -41.179, df = 736.41, p = .000) and the mental component scores (t = -63.804, df = 718.15, p = .000). An analysis of variance revealed significant differences between group physical component and mental component life satisfaction scores (SF-36v2RTM) for different ethnic backgrounds; physical component scores (F = 12.978, df = 4, p = .000) and the mental component scores (F = 15.156, df = 4, p = .000). Comparison of the means (+/- SE) revealed no significant differences between male and female physical component and mental component life satisfaction scores (SF-36v2RTM); physical component scores (t = -.879, df = 791, p = .380) and the mental component scores (t = -.270, 791, p = .787). An analysis of variance revealed significant differences between group physical component and mental component life satisfaction scores (SF-36v2RTM) among different income levels; physical component scores (F = 24.561, df = 4, p = .000) and the mental component scores (F = 24.741, df = 4, p = .000). Comparison of the means ( SE) revealed significant differences between retired individuals and individuals who are not retired physical component and mental component life satisfaction scores (SF-36v2RTM); physical component scores (t = 9.487, df = 791, p = .000) and the mental component scores ( t = 11.135, df = 791, p = .000). One's exercise level, ethnic background, income level and retirement status all play a role in life satisfaction levels. However, no differences were found between males and females.
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