A cross-sectional study on quality of life among the elderly in non-governmental organizations’ elderly homes in Kuala Lumpur

Background There is a rapid increase in the population of the elderly globally, and Malaysia is anticipated to become an ageing nation in 2030. Maintaining health, social participation, reducing institutionalization, and improving quality of life of the elderly are public health challenges of the $ 21^{st} $ century. Quality of life among elderly in Elderly Homes in Malaysia is under researched. This study aims to determine the quality of life and its associated factors among the Elderly in Elderly Homes in Kuala Lumpur. Methods This was a cross-sectional study among 203 residents aged 60 years or more in eight randomly selected Elderly Homes in Kuala Lumpur in September 2014. Stratified simple random sampling was used to select participants. Study instruments included World Health Organization Quality of Life Questionnaire-Brief Version (WHOQOL-BREF), Multidimensional Scale for Perceived Social Support, and a questionnaire for Socio-demographic variables. Data collection was by face to face interview. Univariate and Multivariate analysis were used to determine associations, and P-value <0.05 was considered statistically significant. Results The mean (Standard deviation) for the physical domain was 14.3 (±2.7), 13.7 (±2.5) for the psychological domain, 10.8 (±3.4) for the social domain, and 13.0 (±2.5) for the environment domain. Factors significantly associated with quality of life included age, gender, level of education, economic status, outdoor leisure activity, physical activity, duration of residence, type of accommodation, co-morbidities, and social support. Conclusion This study confirms that multiple factors are associated with quality of life among elderly in elderly homes. Social support, chronic co-morbidities, gender and outdoor leisure activity were significantly associated with all the domains of quality of life. Among the four domains of quality of life, the physical domain had the highest score while the social domain had the lowest score. This emphasizes the need for more social support-related interventions in these homes. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Onunkwor, Obinna Francis [verfasserIn] Al-Dubai, Sami Abdo Radman George, Philip Parikial Arokiasamy, John Yadav, Hemetram Barua, Ankur Shuaibu, Hassana Ojonuba

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2016

Schlagwörter:	Elderly Non-governmental Organization Elderly Homes Quality of Life Kuala Lumpur

Anmerkung:	© Onunkwor et al. 2016

Übergeordnetes Werk:	Enthalten in: Health and quality of life outcomes - London : BioMed Central, 2003, 14(2016), 1 vom: 12. Jan.
Übergeordnetes Werk:	volume:14 ; year:2016 ; number:1 ; day:12 ; month:01

Links:	Volltext

DOI / URN:	10.1186/s12955-016-0408-8

Katalog-ID:	SPR028796667

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520			\|a Background There is a rapid increase in the population of the elderly globally, and Malaysia is anticipated to become an ageing nation in 2030. Maintaining health, social participation, reducing institutionalization, and improving quality of life of the elderly are public health challenges of the $ 21^{st} $ century. Quality of life among elderly in Elderly Homes in Malaysia is under researched. This study aims to determine the quality of life and its associated factors among the Elderly in Elderly Homes in Kuala Lumpur. Methods This was a cross-sectional study among 203 residents aged 60 years or more in eight randomly selected Elderly Homes in Kuala Lumpur in September 2014. Stratified simple random sampling was used to select participants. Study instruments included World Health Organization Quality of Life Questionnaire-Brief Version (WHOQOL-BREF), Multidimensional Scale for Perceived Social Support, and a questionnaire for Socio-demographic variables. Data collection was by face to face interview. Univariate and Multivariate analysis were used to determine associations, and P-value <0.05 was considered statistically significant. Results The mean (Standard deviation) for the physical domain was 14.3 (±2.7), 13.7 (±2.5) for the psychological domain, 10.8 (±3.4) for the social domain, and 13.0 (±2.5) for the environment domain. Factors significantly associated with quality of life included age, gender, level of education, economic status, outdoor leisure activity, physical activity, duration of residence, type of accommodation, co-morbidities, and social support. Conclusion This study confirms that multiple factors are associated with quality of life among elderly in elderly homes. Social support, chronic co-morbidities, gender and outdoor leisure activity were significantly associated with all the domains of quality of life. Among the four domains of quality of life, the physical domain had the highest score while the social domain had the lowest score. This emphasizes the need for more social support-related interventions in these homes.
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allfields	10.1186/s12955-016-0408-8 doi (DE-627)SPR028796667 (SPR)s12955-016-0408-8-e DE-627 ger DE-627 rakwb eng Onunkwor, Obinna Francis verfasserin aut A cross-sectional study on quality of life among the elderly in non-governmental organizations’ elderly homes in Kuala Lumpur 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Onunkwor et al. 2016 Background There is a rapid increase in the population of the elderly globally, and Malaysia is anticipated to become an ageing nation in 2030. Maintaining health, social participation, reducing institutionalization, and improving quality of life of the elderly are public health challenges of the $ 21^{st} $ century. Quality of life among elderly in Elderly Homes in Malaysia is under researched. This study aims to determine the quality of life and its associated factors among the Elderly in Elderly Homes in Kuala Lumpur. Methods This was a cross-sectional study among 203 residents aged 60 years or more in eight randomly selected Elderly Homes in Kuala Lumpur in September 2014. Stratified simple random sampling was used to select participants. Study instruments included World Health Organization Quality of Life Questionnaire-Brief Version (WHOQOL-BREF), Multidimensional Scale for Perceived Social Support, and a questionnaire for Socio-demographic variables. Data collection was by face to face interview. Univariate and Multivariate analysis were used to determine associations, and P-value <0.05 was considered statistically significant. Results The mean (Standard deviation) for the physical domain was 14.3 (±2.7), 13.7 (±2.5) for the psychological domain, 10.8 (±3.4) for the social domain, and 13.0 (±2.5) for the environment domain. Factors significantly associated with quality of life included age, gender, level of education, economic status, outdoor leisure activity, physical activity, duration of residence, type of accommodation, co-morbidities, and social support. Conclusion This study confirms that multiple factors are associated with quality of life among elderly in elderly homes. Social support, chronic co-morbidities, gender and outdoor leisure activity were significantly associated with all the domains of quality of life. Among the four domains of quality of life, the physical domain had the highest score while the social domain had the lowest score. This emphasizes the need for more social support-related interventions in these homes. Elderly (dpeaa)DE-He213 Non-governmental Organization (dpeaa)DE-He213 Elderly Homes (dpeaa)DE-He213 Quality of Life (dpeaa)DE-He213 Kuala Lumpur (dpeaa)DE-He213 Al-Dubai, Sami Abdo Radman aut George, Philip Parikial aut Arokiasamy, John aut Yadav, Hemetram aut Barua, Ankur aut Shuaibu, Hassana Ojonuba aut Enthalten in Health and quality of life outcomes London : BioMed Central, 2003 14(2016), 1 vom: 12. Jan. (DE-627)360059651 (DE-600)2098765-1 1477-7525 nnns volume:14 year:2016 number:1 day:12 month:01 https://dx.doi.org/10.1186/s12955-016-0408-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_375 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2016 1 12 01
spelling	10.1186/s12955-016-0408-8 doi (DE-627)SPR028796667 (SPR)s12955-016-0408-8-e DE-627 ger DE-627 rakwb eng Onunkwor, Obinna Francis verfasserin aut A cross-sectional study on quality of life among the elderly in non-governmental organizations’ elderly homes in Kuala Lumpur 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Onunkwor et al. 2016 Background There is a rapid increase in the population of the elderly globally, and Malaysia is anticipated to become an ageing nation in 2030. Maintaining health, social participation, reducing institutionalization, and improving quality of life of the elderly are public health challenges of the $ 21^{st} $ century. Quality of life among elderly in Elderly Homes in Malaysia is under researched. This study aims to determine the quality of life and its associated factors among the Elderly in Elderly Homes in Kuala Lumpur. Methods This was a cross-sectional study among 203 residents aged 60 years or more in eight randomly selected Elderly Homes in Kuala Lumpur in September 2014. Stratified simple random sampling was used to select participants. Study instruments included World Health Organization Quality of Life Questionnaire-Brief Version (WHOQOL-BREF), Multidimensional Scale for Perceived Social Support, and a questionnaire for Socio-demographic variables. Data collection was by face to face interview. Univariate and Multivariate analysis were used to determine associations, and P-value <0.05 was considered statistically significant. Results The mean (Standard deviation) for the physical domain was 14.3 (±2.7), 13.7 (±2.5) for the psychological domain, 10.8 (±3.4) for the social domain, and 13.0 (±2.5) for the environment domain. Factors significantly associated with quality of life included age, gender, level of education, economic status, outdoor leisure activity, physical activity, duration of residence, type of accommodation, co-morbidities, and social support. Conclusion This study confirms that multiple factors are associated with quality of life among elderly in elderly homes. Social support, chronic co-morbidities, gender and outdoor leisure activity were significantly associated with all the domains of quality of life. Among the four domains of quality of life, the physical domain had the highest score while the social domain had the lowest score. This emphasizes the need for more social support-related interventions in these homes. Elderly (dpeaa)DE-He213 Non-governmental Organization (dpeaa)DE-He213 Elderly Homes (dpeaa)DE-He213 Quality of Life (dpeaa)DE-He213 Kuala Lumpur (dpeaa)DE-He213 Al-Dubai, Sami Abdo Radman aut George, Philip Parikial aut Arokiasamy, John aut Yadav, Hemetram aut Barua, Ankur aut Shuaibu, Hassana Ojonuba aut Enthalten in Health and quality of life outcomes London : BioMed Central, 2003 14(2016), 1 vom: 12. Jan. (DE-627)360059651 (DE-600)2098765-1 1477-7525 nnns volume:14 year:2016 number:1 day:12 month:01 https://dx.doi.org/10.1186/s12955-016-0408-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_375 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2016 1 12 01
allfields_unstemmed	10.1186/s12955-016-0408-8 doi (DE-627)SPR028796667 (SPR)s12955-016-0408-8-e DE-627 ger DE-627 rakwb eng Onunkwor, Obinna Francis verfasserin aut A cross-sectional study on quality of life among the elderly in non-governmental organizations’ elderly homes in Kuala Lumpur 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Onunkwor et al. 2016 Background There is a rapid increase in the population of the elderly globally, and Malaysia is anticipated to become an ageing nation in 2030. Maintaining health, social participation, reducing institutionalization, and improving quality of life of the elderly are public health challenges of the $ 21^{st} $ century. Quality of life among elderly in Elderly Homes in Malaysia is under researched. This study aims to determine the quality of life and its associated factors among the Elderly in Elderly Homes in Kuala Lumpur. Methods This was a cross-sectional study among 203 residents aged 60 years or more in eight randomly selected Elderly Homes in Kuala Lumpur in September 2014. Stratified simple random sampling was used to select participants. Study instruments included World Health Organization Quality of Life Questionnaire-Brief Version (WHOQOL-BREF), Multidimensional Scale for Perceived Social Support, and a questionnaire for Socio-demographic variables. Data collection was by face to face interview. Univariate and Multivariate analysis were used to determine associations, and P-value <0.05 was considered statistically significant. Results The mean (Standard deviation) for the physical domain was 14.3 (±2.7), 13.7 (±2.5) for the psychological domain, 10.8 (±3.4) for the social domain, and 13.0 (±2.5) for the environment domain. Factors significantly associated with quality of life included age, gender, level of education, economic status, outdoor leisure activity, physical activity, duration of residence, type of accommodation, co-morbidities, and social support. Conclusion This study confirms that multiple factors are associated with quality of life among elderly in elderly homes. Social support, chronic co-morbidities, gender and outdoor leisure activity were significantly associated with all the domains of quality of life. Among the four domains of quality of life, the physical domain had the highest score while the social domain had the lowest score. This emphasizes the need for more social support-related interventions in these homes. Elderly (dpeaa)DE-He213 Non-governmental Organization (dpeaa)DE-He213 Elderly Homes (dpeaa)DE-He213 Quality of Life (dpeaa)DE-He213 Kuala Lumpur (dpeaa)DE-He213 Al-Dubai, Sami Abdo Radman aut George, Philip Parikial aut Arokiasamy, John aut Yadav, Hemetram aut Barua, Ankur aut Shuaibu, Hassana Ojonuba aut Enthalten in Health and quality of life outcomes London : BioMed Central, 2003 14(2016), 1 vom: 12. Jan. (DE-627)360059651 (DE-600)2098765-1 1477-7525 nnns volume:14 year:2016 number:1 day:12 month:01 https://dx.doi.org/10.1186/s12955-016-0408-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_375 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2016 1 12 01
allfieldsGer	10.1186/s12955-016-0408-8 doi (DE-627)SPR028796667 (SPR)s12955-016-0408-8-e DE-627 ger DE-627 rakwb eng Onunkwor, Obinna Francis verfasserin aut A cross-sectional study on quality of life among the elderly in non-governmental organizations’ elderly homes in Kuala Lumpur 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Onunkwor et al. 2016 Background There is a rapid increase in the population of the elderly globally, and Malaysia is anticipated to become an ageing nation in 2030. Maintaining health, social participation, reducing institutionalization, and improving quality of life of the elderly are public health challenges of the $ 21^{st} $ century. Quality of life among elderly in Elderly Homes in Malaysia is under researched. This study aims to determine the quality of life and its associated factors among the Elderly in Elderly Homes in Kuala Lumpur. Methods This was a cross-sectional study among 203 residents aged 60 years or more in eight randomly selected Elderly Homes in Kuala Lumpur in September 2014. Stratified simple random sampling was used to select participants. Study instruments included World Health Organization Quality of Life Questionnaire-Brief Version (WHOQOL-BREF), Multidimensional Scale for Perceived Social Support, and a questionnaire for Socio-demographic variables. Data collection was by face to face interview. Univariate and Multivariate analysis were used to determine associations, and P-value <0.05 was considered statistically significant. Results The mean (Standard deviation) for the physical domain was 14.3 (±2.7), 13.7 (±2.5) for the psychological domain, 10.8 (±3.4) for the social domain, and 13.0 (±2.5) for the environment domain. Factors significantly associated with quality of life included age, gender, level of education, economic status, outdoor leisure activity, physical activity, duration of residence, type of accommodation, co-morbidities, and social support. Conclusion This study confirms that multiple factors are associated with quality of life among elderly in elderly homes. Social support, chronic co-morbidities, gender and outdoor leisure activity were significantly associated with all the domains of quality of life. Among the four domains of quality of life, the physical domain had the highest score while the social domain had the lowest score. This emphasizes the need for more social support-related interventions in these homes. Elderly (dpeaa)DE-He213 Non-governmental Organization (dpeaa)DE-He213 Elderly Homes (dpeaa)DE-He213 Quality of Life (dpeaa)DE-He213 Kuala Lumpur (dpeaa)DE-He213 Al-Dubai, Sami Abdo Radman aut George, Philip Parikial aut Arokiasamy, John aut Yadav, Hemetram aut Barua, Ankur aut Shuaibu, Hassana Ojonuba aut Enthalten in Health and quality of life outcomes London : BioMed Central, 2003 14(2016), 1 vom: 12. Jan. (DE-627)360059651 (DE-600)2098765-1 1477-7525 nnns volume:14 year:2016 number:1 day:12 month:01 https://dx.doi.org/10.1186/s12955-016-0408-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_375 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2016 1 12 01
allfieldsSound	10.1186/s12955-016-0408-8 doi (DE-627)SPR028796667 (SPR)s12955-016-0408-8-e DE-627 ger DE-627 rakwb eng Onunkwor, Obinna Francis verfasserin aut A cross-sectional study on quality of life among the elderly in non-governmental organizations’ elderly homes in Kuala Lumpur 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Onunkwor et al. 2016 Background There is a rapid increase in the population of the elderly globally, and Malaysia is anticipated to become an ageing nation in 2030. Maintaining health, social participation, reducing institutionalization, and improving quality of life of the elderly are public health challenges of the $ 21^{st} $ century. Quality of life among elderly in Elderly Homes in Malaysia is under researched. This study aims to determine the quality of life and its associated factors among the Elderly in Elderly Homes in Kuala Lumpur. Methods This was a cross-sectional study among 203 residents aged 60 years or more in eight randomly selected Elderly Homes in Kuala Lumpur in September 2014. Stratified simple random sampling was used to select participants. Study instruments included World Health Organization Quality of Life Questionnaire-Brief Version (WHOQOL-BREF), Multidimensional Scale for Perceived Social Support, and a questionnaire for Socio-demographic variables. Data collection was by face to face interview. Univariate and Multivariate analysis were used to determine associations, and P-value <0.05 was considered statistically significant. Results The mean (Standard deviation) for the physical domain was 14.3 (±2.7), 13.7 (±2.5) for the psychological domain, 10.8 (±3.4) for the social domain, and 13.0 (±2.5) for the environment domain. Factors significantly associated with quality of life included age, gender, level of education, economic status, outdoor leisure activity, physical activity, duration of residence, type of accommodation, co-morbidities, and social support. Conclusion This study confirms that multiple factors are associated with quality of life among elderly in elderly homes. Social support, chronic co-morbidities, gender and outdoor leisure activity were significantly associated with all the domains of quality of life. Among the four domains of quality of life, the physical domain had the highest score while the social domain had the lowest score. This emphasizes the need for more social support-related interventions in these homes. Elderly (dpeaa)DE-He213 Non-governmental Organization (dpeaa)DE-He213 Elderly Homes (dpeaa)DE-He213 Quality of Life (dpeaa)DE-He213 Kuala Lumpur (dpeaa)DE-He213 Al-Dubai, Sami Abdo Radman aut George, Philip Parikial aut Arokiasamy, John aut Yadav, Hemetram aut Barua, Ankur aut Shuaibu, Hassana Ojonuba aut Enthalten in Health and quality of life outcomes London : BioMed Central, 2003 14(2016), 1 vom: 12. Jan. (DE-627)360059651 (DE-600)2098765-1 1477-7525 nnns volume:14 year:2016 number:1 day:12 month:01 https://dx.doi.org/10.1186/s12955-016-0408-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_375 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2016 1 12 01
language	English
source	Enthalten in Health and quality of life outcomes 14(2016), 1 vom: 12. Jan. volume:14 year:2016 number:1 day:12 month:01
sourceStr	Enthalten in Health and quality of life outcomes 14(2016), 1 vom: 12. Jan. volume:14 year:2016 number:1 day:12 month:01
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institution	findex.gbv.de
topic_facet	Elderly Non-governmental Organization Elderly Homes Quality of Life Kuala Lumpur
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container_title	Health and quality of life outcomes
authorswithroles_txt_mv	Onunkwor, Obinna Francis @@aut@@ Al-Dubai, Sami Abdo Radman @@aut@@ George, Philip Parikial @@aut@@ Arokiasamy, John @@aut@@ Yadav, Hemetram @@aut@@ Barua, Ankur @@aut@@ Shuaibu, Hassana Ojonuba @@aut@@
publishDateDaySort_date	2016-01-12T00:00:00Z
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Maintaining health, social participation, reducing institutionalization, and improving quality of life of the elderly are public health challenges of the $ 21^{st} $ century. Quality of life among elderly in Elderly Homes in Malaysia is under researched. This study aims to determine the quality of life and its associated factors among the Elderly in Elderly Homes in Kuala Lumpur. Methods This was a cross-sectional study among 203 residents aged 60 years or more in eight randomly selected Elderly Homes in Kuala Lumpur in September 2014. Stratified simple random sampling was used to select participants. Study instruments included World Health Organization Quality of Life Questionnaire-Brief Version (WHOQOL-BREF), Multidimensional Scale for Perceived Social Support, and a questionnaire for Socio-demographic variables. Data collection was by face to face interview. Univariate and Multivariate analysis were used to determine associations, and P-value <0.05 was considered statistically significant. Results The mean (Standard deviation) for the physical domain was 14.3 (±2.7), 13.7 (±2.5) for the psychological domain, 10.8 (±3.4) for the social domain, and 13.0 (±2.5) for the environment domain. Factors significantly associated with quality of life included age, gender, level of education, economic status, outdoor leisure activity, physical activity, duration of residence, type of accommodation, co-morbidities, and social support. Conclusion This study confirms that multiple factors are associated with quality of life among elderly in elderly homes. Social support, chronic co-morbidities, gender and outdoor leisure activity were significantly associated with all the domains of quality of life. Among the four domains of quality of life, the physical domain had the highest score while the social domain had the lowest score. 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author	Onunkwor, Obinna Francis
spellingShingle	Onunkwor, Obinna Francis misc Elderly misc Non-governmental Organization misc Elderly Homes misc Quality of Life misc Kuala Lumpur A cross-sectional study on quality of life among the elderly in non-governmental organizations’ elderly homes in Kuala Lumpur
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topic_title	A cross-sectional study on quality of life among the elderly in non-governmental organizations’ elderly homes in Kuala Lumpur Elderly (dpeaa)DE-He213 Non-governmental Organization (dpeaa)DE-He213 Elderly Homes (dpeaa)DE-He213 Quality of Life (dpeaa)DE-He213 Kuala Lumpur (dpeaa)DE-He213
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title	A cross-sectional study on quality of life among the elderly in non-governmental organizations’ elderly homes in Kuala Lumpur
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title_full	A cross-sectional study on quality of life among the elderly in non-governmental organizations’ elderly homes in Kuala Lumpur
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author_browse	Onunkwor, Obinna Francis Al-Dubai, Sami Abdo Radman George, Philip Parikial Arokiasamy, John Yadav, Hemetram Barua, Ankur Shuaibu, Hassana Ojonuba
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doi_str_mv	10.1186/s12955-016-0408-8
title_sort	cross-sectional study on quality of life among the elderly in non-governmental organizations’ elderly homes in kuala lumpur
title_auth	A cross-sectional study on quality of life among the elderly in non-governmental organizations’ elderly homes in Kuala Lumpur
abstract	Background There is a rapid increase in the population of the elderly globally, and Malaysia is anticipated to become an ageing nation in 2030. Maintaining health, social participation, reducing institutionalization, and improving quality of life of the elderly are public health challenges of the $ 21^{st} $ century. Quality of life among elderly in Elderly Homes in Malaysia is under researched. This study aims to determine the quality of life and its associated factors among the Elderly in Elderly Homes in Kuala Lumpur. Methods This was a cross-sectional study among 203 residents aged 60 years or more in eight randomly selected Elderly Homes in Kuala Lumpur in September 2014. Stratified simple random sampling was used to select participants. Study instruments included World Health Organization Quality of Life Questionnaire-Brief Version (WHOQOL-BREF), Multidimensional Scale for Perceived Social Support, and a questionnaire for Socio-demographic variables. Data collection was by face to face interview. Univariate and Multivariate analysis were used to determine associations, and P-value <0.05 was considered statistically significant. Results The mean (Standard deviation) for the physical domain was 14.3 (±2.7), 13.7 (±2.5) for the psychological domain, 10.8 (±3.4) for the social domain, and 13.0 (±2.5) for the environment domain. Factors significantly associated with quality of life included age, gender, level of education, economic status, outdoor leisure activity, physical activity, duration of residence, type of accommodation, co-morbidities, and social support. Conclusion This study confirms that multiple factors are associated with quality of life among elderly in elderly homes. Social support, chronic co-morbidities, gender and outdoor leisure activity were significantly associated with all the domains of quality of life. Among the four domains of quality of life, the physical domain had the highest score while the social domain had the lowest score. This emphasizes the need for more social support-related interventions in these homes. © Onunkwor et al. 2016
abstractGer	Background There is a rapid increase in the population of the elderly globally, and Malaysia is anticipated to become an ageing nation in 2030. Maintaining health, social participation, reducing institutionalization, and improving quality of life of the elderly are public health challenges of the $ 21^{st} $ century. Quality of life among elderly in Elderly Homes in Malaysia is under researched. This study aims to determine the quality of life and its associated factors among the Elderly in Elderly Homes in Kuala Lumpur. Methods This was a cross-sectional study among 203 residents aged 60 years or more in eight randomly selected Elderly Homes in Kuala Lumpur in September 2014. Stratified simple random sampling was used to select participants. Study instruments included World Health Organization Quality of Life Questionnaire-Brief Version (WHOQOL-BREF), Multidimensional Scale for Perceived Social Support, and a questionnaire for Socio-demographic variables. Data collection was by face to face interview. Univariate and Multivariate analysis were used to determine associations, and P-value <0.05 was considered statistically significant. Results The mean (Standard deviation) for the physical domain was 14.3 (±2.7), 13.7 (±2.5) for the psychological domain, 10.8 (±3.4) for the social domain, and 13.0 (±2.5) for the environment domain. Factors significantly associated with quality of life included age, gender, level of education, economic status, outdoor leisure activity, physical activity, duration of residence, type of accommodation, co-morbidities, and social support. Conclusion This study confirms that multiple factors are associated with quality of life among elderly in elderly homes. Social support, chronic co-morbidities, gender and outdoor leisure activity were significantly associated with all the domains of quality of life. Among the four domains of quality of life, the physical domain had the highest score while the social domain had the lowest score. This emphasizes the need for more social support-related interventions in these homes. © Onunkwor et al. 2016
abstract_unstemmed	Background There is a rapid increase in the population of the elderly globally, and Malaysia is anticipated to become an ageing nation in 2030. Maintaining health, social participation, reducing institutionalization, and improving quality of life of the elderly are public health challenges of the $ 21^{st} $ century. Quality of life among elderly in Elderly Homes in Malaysia is under researched. This study aims to determine the quality of life and its associated factors among the Elderly in Elderly Homes in Kuala Lumpur. Methods This was a cross-sectional study among 203 residents aged 60 years or more in eight randomly selected Elderly Homes in Kuala Lumpur in September 2014. Stratified simple random sampling was used to select participants. Study instruments included World Health Organization Quality of Life Questionnaire-Brief Version (WHOQOL-BREF), Multidimensional Scale for Perceived Social Support, and a questionnaire for Socio-demographic variables. Data collection was by face to face interview. Univariate and Multivariate analysis were used to determine associations, and P-value <0.05 was considered statistically significant. Results The mean (Standard deviation) for the physical domain was 14.3 (±2.7), 13.7 (±2.5) for the psychological domain, 10.8 (±3.4) for the social domain, and 13.0 (±2.5) for the environment domain. Factors significantly associated with quality of life included age, gender, level of education, economic status, outdoor leisure activity, physical activity, duration of residence, type of accommodation, co-morbidities, and social support. Conclusion This study confirms that multiple factors are associated with quality of life among elderly in elderly homes. Social support, chronic co-morbidities, gender and outdoor leisure activity were significantly associated with all the domains of quality of life. Among the four domains of quality of life, the physical domain had the highest score while the social domain had the lowest score. This emphasizes the need for more social support-related interventions in these homes. © Onunkwor et al. 2016
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title_short	A cross-sectional study on quality of life among the elderly in non-governmental organizations’ elderly homes in Kuala Lumpur
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A cross-sectional study on quality of life among the elderly in non-governmental organizations’ elderly homes in Kuala Lumpur

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