Environmental predictors of objectively measured out-of-home time among older adults with cognitive decline

Background: Older adults with cognitive decline are vulnerable to various health problems. Going out of home for longer time could be beneficial for their health. Identifying modifiable predictors is essential for developing effective strategies that would increase time spent out-of-home by older ad...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Harada, Kazuhiro [verfasserIn] Lee, Sangyoon [verfasserIn] Lee, Sungchul [verfasserIn] Bae, Seongryu [verfasserIn] Harada, Kenji [verfasserIn] Shimada, Hiroyuki [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	Community networks Environment design Geographic information systems Healthy aging Homebound persons Sedentary lifestyle

Übergeordnetes Werk:	Enthalten in: Archives of gerontology and geriatrics - Amsterdam [u.a.] : Elsevier Science, 1982, 82, Seite 259-265
Übergeordnetes Werk:	volume:82 ; pages:259-265

DOI / URN:	10.1016/j.archger.2019.01.021

Katalog-ID:	ELV002013002

Internformat


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024	7		\|a 10.1016/j.archger.2019.01.021 \|2 doi
035			\|a (DE-627)ELV002013002
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100	1		\|a Harada, Kazuhiro \|e verfasserin \|4 aut
245	1	0	\|a Environmental predictors of objectively measured out-of-home time among older adults with cognitive decline
264		1	\|c 2019
336			\|a nicht spezifiziert \|b zzz \|2 rdacontent
337			\|a Computermedien \|b c \|2 rdamedia
338			\|a Online-Ressource \|b cr \|2 rdacarrier
520			\|a Background: Older adults with cognitive decline are vulnerable to various health problems. Going out of home for longer time could be beneficial for their health. Identifying modifiable predictors is essential for developing effective strategies that would increase time spent out-of-home by older adults. This study examined social and physical environmental predictors of objectively measured out-of-home time spent among older adults with cognitive decline.Methods: This study was a secondary analysis of a randomized controlled trial (n = 147). Out-of-home time per day was measured by a Global Positioning System at baseline and 1-year follow-up. Baseline data of social environment (living alone, social network [Japanese version of the Lubben Social Network Scale]), objective physical environment (road network distance from each home address to nearest supermarket store, convenience store, and public transportation), and demographic factors (gender, age, education, driving status, fear of falling) were examined as potential predictors.Results: After adjusting main effects of allocation group, time of measures, and their interactive effect, a mixed model showed that younger age (p = 0.044), current driving status (p = 0.039), and stronger social network (p = 0.003) were predictors of out-of-home time. However, none of the physical environmental factors significantly predicted outdoor time.Conclusions: The present study found that social network was a predictor of objectively measured out-of-home time among older adults with global cognitive decline. A sufficient social network might help increase out-of-home time among them. However, the influence of physical environment on out-of-home time might be small.
650		4	\|a Community networks
650		4	\|a Environment design
650		4	\|a Geographic information systems
650		4	\|a Healthy aging
650		4	\|a Homebound persons
650		4	\|a Sedentary lifestyle
700	1		\|a Lee, Sangyoon \|e verfasserin \|4 aut
700	1		\|a Lee, Sungchul \|e verfasserin \|4 aut
700	1		\|a Bae, Seongryu \|e verfasserin \|4 aut
700	1		\|a Harada, Kenji \|e verfasserin \|4 aut
700	1		\|a Shimada, Hiroyuki \|e verfasserin \|4 aut
773	0	8	\|i Enthalten in \|t Archives of gerontology and geriatrics \|d Amsterdam [u.a.] : Elsevier Science, 1982 \|g 82, Seite 259-265 \|h Online-Ressource \|w (DE-627)320639312 \|w (DE-600)2024857-X \|w (DE-576)256155429 \|x 1872-6976 \|7 nnns
773	1	8	\|g volume:82 \|g pages:259-265
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912			\|a GBV_ILN_32
912			\|a GBV_ILN_40
912			\|a GBV_ILN_60
912			\|a GBV_ILN_62
912			\|a GBV_ILN_63
912			\|a GBV_ILN_65
912			\|a GBV_ILN_69
912			\|a GBV_ILN_70
912			\|a GBV_ILN_73
912			\|a GBV_ILN_74
912			\|a GBV_ILN_90
912			\|a GBV_ILN_95
912			\|a GBV_ILN_100
912			\|a GBV_ILN_101
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_151
912			\|a GBV_ILN_224
912			\|a GBV_ILN_370
912			\|a GBV_ILN_602
912			\|a GBV_ILN_702
912			\|a GBV_ILN_2003
912			\|a GBV_ILN_2004
912			\|a GBV_ILN_2005
912			\|a GBV_ILN_2011
912			\|a GBV_ILN_2014
912			\|a GBV_ILN_2015
912			\|a GBV_ILN_2020
912			\|a GBV_ILN_2021
912			\|a GBV_ILN_2025
912			\|a GBV_ILN_2027
912			\|a GBV_ILN_2034
912			\|a GBV_ILN_2038
912			\|a GBV_ILN_2044
912			\|a GBV_ILN_2048
912			\|a GBV_ILN_2049
912			\|a GBV_ILN_2050
912			\|a GBV_ILN_2056
912			\|a GBV_ILN_2059
912			\|a GBV_ILN_2061
912			\|a GBV_ILN_2064
912			\|a GBV_ILN_2065
912			\|a GBV_ILN_2068
912			\|a GBV_ILN_2111
912			\|a GBV_ILN_2112
912			\|a GBV_ILN_2113
912			\|a GBV_ILN_2118
912			\|a GBV_ILN_2122
912			\|a GBV_ILN_2129
912			\|a GBV_ILN_2143
912			\|a GBV_ILN_2147
912			\|a GBV_ILN_2148
912			\|a GBV_ILN_2152
912			\|a GBV_ILN_2153
912			\|a GBV_ILN_2190
912			\|a GBV_ILN_2336
912			\|a GBV_ILN_2507
912			\|a GBV_ILN_2522
912			\|a GBV_ILN_4035
912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4112
912			\|a GBV_ILN_4125
912			\|a GBV_ILN_4126
912			\|a GBV_ILN_4242
912			\|a GBV_ILN_4251
912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4313
912			\|a GBV_ILN_4323
912			\|a GBV_ILN_4324
912			\|a GBV_ILN_4325
912			\|a GBV_ILN_4326
912			\|a GBV_ILN_4333
912			\|a GBV_ILN_4334
912			\|a GBV_ILN_4335
912			\|a GBV_ILN_4338
912			\|a GBV_ILN_4393
936	b	k	\|a 44.68 \|j Gerontologie \|j Geriatrie
951			\|a AR
952			\|d 82 \|h 259-265

Indexfelder

author_variant	k h kh s l sl s l sl s b sb k h kh h s hs
matchkey_str	article:18726976:2019----::niomnapeitroojcieyesrduohmtmaoglea
hierarchy_sort_str	2019
bklnumber	44.68
publishDate	2019
allfields	10.1016/j.archger.2019.01.021 doi (DE-627)ELV002013002 (ELSEVIER)S0167-4943(19)30022-6 DE-627 ger DE-627 rda eng 610 DE-600 44.68 bkl Harada, Kazuhiro verfasserin aut Environmental predictors of objectively measured out-of-home time among older adults with cognitive decline 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Older adults with cognitive decline are vulnerable to various health problems. Going out of home for longer time could be beneficial for their health. Identifying modifiable predictors is essential for developing effective strategies that would increase time spent out-of-home by older adults. This study examined social and physical environmental predictors of objectively measured out-of-home time spent among older adults with cognitive decline.Methods: This study was a secondary analysis of a randomized controlled trial (n = 147). Out-of-home time per day was measured by a Global Positioning System at baseline and 1-year follow-up. Baseline data of social environment (living alone, social network [Japanese version of the Lubben Social Network Scale]), objective physical environment (road network distance from each home address to nearest supermarket store, convenience store, and public transportation), and demographic factors (gender, age, education, driving status, fear of falling) were examined as potential predictors.Results: After adjusting main effects of allocation group, time of measures, and their interactive effect, a mixed model showed that younger age (p = 0.044), current driving status (p = 0.039), and stronger social network (p = 0.003) were predictors of out-of-home time. However, none of the physical environmental factors significantly predicted outdoor time.Conclusions: The present study found that social network was a predictor of objectively measured out-of-home time among older adults with global cognitive decline. A sufficient social network might help increase out-of-home time among them. However, the influence of physical environment on out-of-home time might be small. Community networks Environment design Geographic information systems Healthy aging Homebound persons Sedentary lifestyle Lee, Sangyoon verfasserin aut Lee, Sungchul verfasserin aut Bae, Seongryu verfasserin aut Harada, Kenji verfasserin aut Shimada, Hiroyuki verfasserin aut Enthalten in Archives of gerontology and geriatrics Amsterdam [u.a.] : Elsevier Science, 1982 82, Seite 259-265 Online-Ressource (DE-627)320639312 (DE-600)2024857-X (DE-576)256155429 1872-6976 nnns volume:82 pages:259-265 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 44.68 Gerontologie Geriatrie AR 82 259-265
spelling	10.1016/j.archger.2019.01.021 doi (DE-627)ELV002013002 (ELSEVIER)S0167-4943(19)30022-6 DE-627 ger DE-627 rda eng 610 DE-600 44.68 bkl Harada, Kazuhiro verfasserin aut Environmental predictors of objectively measured out-of-home time among older adults with cognitive decline 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Older adults with cognitive decline are vulnerable to various health problems. Going out of home for longer time could be beneficial for their health. Identifying modifiable predictors is essential for developing effective strategies that would increase time spent out-of-home by older adults. This study examined social and physical environmental predictors of objectively measured out-of-home time spent among older adults with cognitive decline.Methods: This study was a secondary analysis of a randomized controlled trial (n = 147). Out-of-home time per day was measured by a Global Positioning System at baseline and 1-year follow-up. Baseline data of social environment (living alone, social network [Japanese version of the Lubben Social Network Scale]), objective physical environment (road network distance from each home address to nearest supermarket store, convenience store, and public transportation), and demographic factors (gender, age, education, driving status, fear of falling) were examined as potential predictors.Results: After adjusting main effects of allocation group, time of measures, and their interactive effect, a mixed model showed that younger age (p = 0.044), current driving status (p = 0.039), and stronger social network (p = 0.003) were predictors of out-of-home time. However, none of the physical environmental factors significantly predicted outdoor time.Conclusions: The present study found that social network was a predictor of objectively measured out-of-home time among older adults with global cognitive decline. A sufficient social network might help increase out-of-home time among them. However, the influence of physical environment on out-of-home time might be small. Community networks Environment design Geographic information systems Healthy aging Homebound persons Sedentary lifestyle Lee, Sangyoon verfasserin aut Lee, Sungchul verfasserin aut Bae, Seongryu verfasserin aut Harada, Kenji verfasserin aut Shimada, Hiroyuki verfasserin aut Enthalten in Archives of gerontology and geriatrics Amsterdam [u.a.] : Elsevier Science, 1982 82, Seite 259-265 Online-Ressource (DE-627)320639312 (DE-600)2024857-X (DE-576)256155429 1872-6976 nnns volume:82 pages:259-265 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 44.68 Gerontologie Geriatrie AR 82 259-265
allfields_unstemmed	10.1016/j.archger.2019.01.021 doi (DE-627)ELV002013002 (ELSEVIER)S0167-4943(19)30022-6 DE-627 ger DE-627 rda eng 610 DE-600 44.68 bkl Harada, Kazuhiro verfasserin aut Environmental predictors of objectively measured out-of-home time among older adults with cognitive decline 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Older adults with cognitive decline are vulnerable to various health problems. Going out of home for longer time could be beneficial for their health. Identifying modifiable predictors is essential for developing effective strategies that would increase time spent out-of-home by older adults. This study examined social and physical environmental predictors of objectively measured out-of-home time spent among older adults with cognitive decline.Methods: This study was a secondary analysis of a randomized controlled trial (n = 147). Out-of-home time per day was measured by a Global Positioning System at baseline and 1-year follow-up. Baseline data of social environment (living alone, social network [Japanese version of the Lubben Social Network Scale]), objective physical environment (road network distance from each home address to nearest supermarket store, convenience store, and public transportation), and demographic factors (gender, age, education, driving status, fear of falling) were examined as potential predictors.Results: After adjusting main effects of allocation group, time of measures, and their interactive effect, a mixed model showed that younger age (p = 0.044), current driving status (p = 0.039), and stronger social network (p = 0.003) were predictors of out-of-home time. However, none of the physical environmental factors significantly predicted outdoor time.Conclusions: The present study found that social network was a predictor of objectively measured out-of-home time among older adults with global cognitive decline. A sufficient social network might help increase out-of-home time among them. However, the influence of physical environment on out-of-home time might be small. Community networks Environment design Geographic information systems Healthy aging Homebound persons Sedentary lifestyle Lee, Sangyoon verfasserin aut Lee, Sungchul verfasserin aut Bae, Seongryu verfasserin aut Harada, Kenji verfasserin aut Shimada, Hiroyuki verfasserin aut Enthalten in Archives of gerontology and geriatrics Amsterdam [u.a.] : Elsevier Science, 1982 82, Seite 259-265 Online-Ressource (DE-627)320639312 (DE-600)2024857-X (DE-576)256155429 1872-6976 nnns volume:82 pages:259-265 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 44.68 Gerontologie Geriatrie AR 82 259-265
allfieldsGer	10.1016/j.archger.2019.01.021 doi (DE-627)ELV002013002 (ELSEVIER)S0167-4943(19)30022-6 DE-627 ger DE-627 rda eng 610 DE-600 44.68 bkl Harada, Kazuhiro verfasserin aut Environmental predictors of objectively measured out-of-home time among older adults with cognitive decline 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Older adults with cognitive decline are vulnerable to various health problems. Going out of home for longer time could be beneficial for their health. Identifying modifiable predictors is essential for developing effective strategies that would increase time spent out-of-home by older adults. This study examined social and physical environmental predictors of objectively measured out-of-home time spent among older adults with cognitive decline.Methods: This study was a secondary analysis of a randomized controlled trial (n = 147). Out-of-home time per day was measured by a Global Positioning System at baseline and 1-year follow-up. Baseline data of social environment (living alone, social network [Japanese version of the Lubben Social Network Scale]), objective physical environment (road network distance from each home address to nearest supermarket store, convenience store, and public transportation), and demographic factors (gender, age, education, driving status, fear of falling) were examined as potential predictors.Results: After adjusting main effects of allocation group, time of measures, and their interactive effect, a mixed model showed that younger age (p = 0.044), current driving status (p = 0.039), and stronger social network (p = 0.003) were predictors of out-of-home time. However, none of the physical environmental factors significantly predicted outdoor time.Conclusions: The present study found that social network was a predictor of objectively measured out-of-home time among older adults with global cognitive decline. A sufficient social network might help increase out-of-home time among them. However, the influence of physical environment on out-of-home time might be small. Community networks Environment design Geographic information systems Healthy aging Homebound persons Sedentary lifestyle Lee, Sangyoon verfasserin aut Lee, Sungchul verfasserin aut Bae, Seongryu verfasserin aut Harada, Kenji verfasserin aut Shimada, Hiroyuki verfasserin aut Enthalten in Archives of gerontology and geriatrics Amsterdam [u.a.] : Elsevier Science, 1982 82, Seite 259-265 Online-Ressource (DE-627)320639312 (DE-600)2024857-X (DE-576)256155429 1872-6976 nnns volume:82 pages:259-265 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 44.68 Gerontologie Geriatrie AR 82 259-265
allfieldsSound	10.1016/j.archger.2019.01.021 doi (DE-627)ELV002013002 (ELSEVIER)S0167-4943(19)30022-6 DE-627 ger DE-627 rda eng 610 DE-600 44.68 bkl Harada, Kazuhiro verfasserin aut Environmental predictors of objectively measured out-of-home time among older adults with cognitive decline 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Older adults with cognitive decline are vulnerable to various health problems. Going out of home for longer time could be beneficial for their health. Identifying modifiable predictors is essential for developing effective strategies that would increase time spent out-of-home by older adults. This study examined social and physical environmental predictors of objectively measured out-of-home time spent among older adults with cognitive decline.Methods: This study was a secondary analysis of a randomized controlled trial (n = 147). Out-of-home time per day was measured by a Global Positioning System at baseline and 1-year follow-up. Baseline data of social environment (living alone, social network [Japanese version of the Lubben Social Network Scale]), objective physical environment (road network distance from each home address to nearest supermarket store, convenience store, and public transportation), and demographic factors (gender, age, education, driving status, fear of falling) were examined as potential predictors.Results: After adjusting main effects of allocation group, time of measures, and their interactive effect, a mixed model showed that younger age (p = 0.044), current driving status (p = 0.039), and stronger social network (p = 0.003) were predictors of out-of-home time. However, none of the physical environmental factors significantly predicted outdoor time.Conclusions: The present study found that social network was a predictor of objectively measured out-of-home time among older adults with global cognitive decline. A sufficient social network might help increase out-of-home time among them. However, the influence of physical environment on out-of-home time might be small. Community networks Environment design Geographic information systems Healthy aging Homebound persons Sedentary lifestyle Lee, Sangyoon verfasserin aut Lee, Sungchul verfasserin aut Bae, Seongryu verfasserin aut Harada, Kenji verfasserin aut Shimada, Hiroyuki verfasserin aut Enthalten in Archives of gerontology and geriatrics Amsterdam [u.a.] : Elsevier Science, 1982 82, Seite 259-265 Online-Ressource (DE-627)320639312 (DE-600)2024857-X (DE-576)256155429 1872-6976 nnns volume:82 pages:259-265 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 44.68 Gerontologie Geriatrie AR 82 259-265
language	English
source	Enthalten in Archives of gerontology and geriatrics 82, Seite 259-265 volume:82 pages:259-265
sourceStr	Enthalten in Archives of gerontology and geriatrics 82, Seite 259-265 volume:82 pages:259-265
format_phy_str_mv	Article
bklname	Gerontologie Geriatrie
institution	findex.gbv.de
topic_facet	Community networks Environment design Geographic information systems Healthy aging Homebound persons Sedentary lifestyle
dewey-raw	610
isfreeaccess_bool	false
container_title	Archives of gerontology and geriatrics
authorswithroles_txt_mv	Harada, Kazuhiro @@aut@@ Lee, Sangyoon @@aut@@ Lee, Sungchul @@aut@@ Bae, Seongryu @@aut@@ Harada, Kenji @@aut@@ Shimada, Hiroyuki @@aut@@
publishDateDaySort_date	2019-01-01T00:00:00Z
hierarchy_top_id	320639312
dewey-sort	3610
id	ELV002013002
language_de	englisch
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Going out of home for longer time could be beneficial for their health. Identifying modifiable predictors is essential for developing effective strategies that would increase time spent out-of-home by older adults. This study examined social and physical environmental predictors of objectively measured out-of-home time spent among older adults with cognitive decline.Methods: This study was a secondary analysis of a randomized controlled trial (n = 147). Out-of-home time per day was measured by a Global Positioning System at baseline and 1-year follow-up. Baseline data of social environment (living alone, social network [Japanese version of the Lubben Social Network Scale]), objective physical environment (road network distance from each home address to nearest supermarket store, convenience store, and public transportation), and demographic factors (gender, age, education, driving status, fear of falling) were examined as potential predictors.Results: After adjusting main effects of allocation group, time of measures, and their interactive effect, a mixed model showed that younger age (p = 0.044), current driving status (p = 0.039), and stronger social network (p = 0.003) were predictors of out-of-home time. However, none of the physical environmental factors significantly predicted outdoor time.Conclusions: The present study found that social network was a predictor of objectively measured out-of-home time among older adults with global cognitive decline. A sufficient social network might help increase out-of-home time among them. 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author	Harada, Kazuhiro
spellingShingle	Harada, Kazuhiro ddc 610 bkl 44.68 misc Community networks misc Environment design misc Geographic information systems misc Healthy aging misc Homebound persons misc Sedentary lifestyle Environmental predictors of objectively measured out-of-home time among older adults with cognitive decline
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topic_title	610 DE-600 44.68 bkl Environmental predictors of objectively measured out-of-home time among older adults with cognitive decline Community networks Environment design Geographic information systems Healthy aging Homebound persons Sedentary lifestyle
topic	ddc 610 bkl 44.68 misc Community networks misc Environment design misc Geographic information systems misc Healthy aging misc Homebound persons misc Sedentary lifestyle
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title	Environmental predictors of objectively measured out-of-home time among older adults with cognitive decline
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title_full	Environmental predictors of objectively measured out-of-home time among older adults with cognitive decline
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author_browse	Harada, Kazuhiro Lee, Sangyoon Lee, Sungchul Bae, Seongryu Harada, Kenji Shimada, Hiroyuki
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title_sort	environmental predictors of objectively measured out-of-home time among older adults with cognitive decline
title_auth	Environmental predictors of objectively measured out-of-home time among older adults with cognitive decline
abstract	Background: Older adults with cognitive decline are vulnerable to various health problems. Going out of home for longer time could be beneficial for their health. Identifying modifiable predictors is essential for developing effective strategies that would increase time spent out-of-home by older adults. This study examined social and physical environmental predictors of objectively measured out-of-home time spent among older adults with cognitive decline.Methods: This study was a secondary analysis of a randomized controlled trial (n = 147). Out-of-home time per day was measured by a Global Positioning System at baseline and 1-year follow-up. Baseline data of social environment (living alone, social network [Japanese version of the Lubben Social Network Scale]), objective physical environment (road network distance from each home address to nearest supermarket store, convenience store, and public transportation), and demographic factors (gender, age, education, driving status, fear of falling) were examined as potential predictors.Results: After adjusting main effects of allocation group, time of measures, and their interactive effect, a mixed model showed that younger age (p = 0.044), current driving status (p = 0.039), and stronger social network (p = 0.003) were predictors of out-of-home time. However, none of the physical environmental factors significantly predicted outdoor time.Conclusions: The present study found that social network was a predictor of objectively measured out-of-home time among older adults with global cognitive decline. A sufficient social network might help increase out-of-home time among them. However, the influence of physical environment on out-of-home time might be small.
abstractGer	Background: Older adults with cognitive decline are vulnerable to various health problems. Going out of home for longer time could be beneficial for their health. Identifying modifiable predictors is essential for developing effective strategies that would increase time spent out-of-home by older adults. This study examined social and physical environmental predictors of objectively measured out-of-home time spent among older adults with cognitive decline.Methods: This study was a secondary analysis of a randomized controlled trial (n = 147). Out-of-home time per day was measured by a Global Positioning System at baseline and 1-year follow-up. Baseline data of social environment (living alone, social network [Japanese version of the Lubben Social Network Scale]), objective physical environment (road network distance from each home address to nearest supermarket store, convenience store, and public transportation), and demographic factors (gender, age, education, driving status, fear of falling) were examined as potential predictors.Results: After adjusting main effects of allocation group, time of measures, and their interactive effect, a mixed model showed that younger age (p = 0.044), current driving status (p = 0.039), and stronger social network (p = 0.003) were predictors of out-of-home time. However, none of the physical environmental factors significantly predicted outdoor time.Conclusions: The present study found that social network was a predictor of objectively measured out-of-home time among older adults with global cognitive decline. A sufficient social network might help increase out-of-home time among them. However, the influence of physical environment on out-of-home time might be small.
abstract_unstemmed	Background: Older adults with cognitive decline are vulnerable to various health problems. Going out of home for longer time could be beneficial for their health. Identifying modifiable predictors is essential for developing effective strategies that would increase time spent out-of-home by older adults. This study examined social and physical environmental predictors of objectively measured out-of-home time spent among older adults with cognitive decline.Methods: This study was a secondary analysis of a randomized controlled trial (n = 147). Out-of-home time per day was measured by a Global Positioning System at baseline and 1-year follow-up. Baseline data of social environment (living alone, social network [Japanese version of the Lubben Social Network Scale]), objective physical environment (road network distance from each home address to nearest supermarket store, convenience store, and public transportation), and demographic factors (gender, age, education, driving status, fear of falling) were examined as potential predictors.Results: After adjusting main effects of allocation group, time of measures, and their interactive effect, a mixed model showed that younger age (p = 0.044), current driving status (p = 0.039), and stronger social network (p = 0.003) were predictors of out-of-home time. However, none of the physical environmental factors significantly predicted outdoor time.Conclusions: The present study found that social network was a predictor of objectively measured out-of-home time among older adults with global cognitive decline. A sufficient social network might help increase out-of-home time among them. However, the influence of physical environment on out-of-home time might be small.
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title_short	Environmental predictors of objectively measured out-of-home time among older adults with cognitive decline
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author2	Lee, Sangyoon Lee, Sungchul Bae, Seongryu Harada, Kenji Shimada, Hiroyuki
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up_date	2024-07-06T23:19:52.561Z
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Environmental predictors of objectively measured out-of-home time among older adults with cognitive decline

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