Independent and Joint Effects of Socioeconomic, Behavioral, and Neighborhood Characteristics on Physical Inactivity and Activity Levels Among US Children and Adolescents
Abstract This study examines the independent and joint associations between several socioeconomic and behavioral characteristics and physical activity (PA) and inactivity prevalence among 68,288 US children aged 6–17 years. The 2003 National Survey of Children’s Health was used to estimate PA preval...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Singh, Gopal K. [verfasserIn] Kogan, Michael D. [verfasserIn] Siahpush, Mohammad [verfasserIn] van Dyck, Peter C. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2008 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Journal of community health - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1975, 33(2008), 4 vom: 29. März, Seite 206-216 |
|---|---|
| Übergeordnetes Werk: |
volume:33 ; year:2008 ; number:4 ; day:29 ; month:03 ; pages:206-216 |
| Links: |
|---|
| DOI / URN: |
10.1007/s10900-008-9094-8 |
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| Katalog-ID: |
SPR014474751 |
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| 520 | |a Abstract This study examines the independent and joint associations between several socioeconomic and behavioral characteristics and physical activity (PA) and inactivity prevalence among 68,288 US children aged 6–17 years. The 2003 National Survey of Children’s Health was used to estimate PA prevalence. Multivariate logistic regression was used to estimate odds of activity and inactivity and adjusted prevalence, while least squares regression was used to model mean number of days of physical inactivity (PIA) in past month. The prevalence of PA varied substantially by socioeconomic and behavioral characteristics, with older, female, non-English speaking, and metropolitan children and those with lower socioeconomic status (SES) and neighborhood social capital having higher inactivity and lower activity levels. Children who watched television ≥3 h/day had 60% higher adjusted odds of PIA and 30% lower odds of PA than those who watched television <3 h/day. Children experiencing inadequate sleep during the entire week had 55% higher odds of PIA and 29% lower odds of PA than those who experienced ≥5 nights of adequate sleep during the week. Children whose both parents were physically inactive had 147% higher odds of PIA and 46% lower odds of PA than children whose parents were both physically active. Differentials in PIA by ethnicity, SES, television viewing, and parental inactivity were greater for younger than for older children. Subgroups such as older, female adolescents, children from socially disadvantaged households and neighborhoods, and those in metropolitan areas should be targeted for the promotion of regular physical activity and reduced television viewing time. | ||
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| 650 | 4 | |a Inactivity |7 (dpeaa)DE-He213 | |
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| 650 | 4 | |a Socioeconomic status |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Social capital |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Neighborhood safety |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Television viewing |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Sleep deprivation |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Parental behavior |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a United States |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Kogan, Michael D. |e verfasserin |4 aut | |
| 700 | 1 | |a Siahpush, Mohammad |e verfasserin |4 aut | |
| 700 | 1 | |a van Dyck, Peter C. |e verfasserin |4 aut | |
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10.1007/s10900-008-9094-8 doi (DE-627)SPR014474751 (SPR)s10900-008-9094-8-e DE-627 ger DE-627 rakwb eng 610 ASE 44.11 bkl Singh, Gopal K. verfasserin aut Independent and Joint Effects of Socioeconomic, Behavioral, and Neighborhood Characteristics on Physical Inactivity and Activity Levels Among US Children and Adolescents 2008 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This study examines the independent and joint associations between several socioeconomic and behavioral characteristics and physical activity (PA) and inactivity prevalence among 68,288 US children aged 6–17 years. The 2003 National Survey of Children’s Health was used to estimate PA prevalence. Multivariate logistic regression was used to estimate odds of activity and inactivity and adjusted prevalence, while least squares regression was used to model mean number of days of physical inactivity (PIA) in past month. The prevalence of PA varied substantially by socioeconomic and behavioral characteristics, with older, female, non-English speaking, and metropolitan children and those with lower socioeconomic status (SES) and neighborhood social capital having higher inactivity and lower activity levels. Children who watched television ≥3 h/day had 60% higher adjusted odds of PIA and 30% lower odds of PA than those who watched television <3 h/day. Children experiencing inadequate sleep during the entire week had 55% higher odds of PIA and 29% lower odds of PA than those who experienced ≥5 nights of adequate sleep during the week. Children whose both parents were physically inactive had 147% higher odds of PIA and 46% lower odds of PA than children whose parents were both physically active. Differentials in PIA by ethnicity, SES, television viewing, and parental inactivity were greater for younger than for older children. Subgroups such as older, female adolescents, children from socially disadvantaged households and neighborhoods, and those in metropolitan areas should be targeted for the promotion of regular physical activity and reduced television viewing time. Childhood physical activity (dpeaa)DE-He213 Inactivity (dpeaa)DE-He213 Ethnicity (dpeaa)DE-He213 Socioeconomic status (dpeaa)DE-He213 Social capital (dpeaa)DE-He213 Neighborhood safety (dpeaa)DE-He213 Television viewing (dpeaa)DE-He213 Sleep deprivation (dpeaa)DE-He213 Parental behavior (dpeaa)DE-He213 United States (dpeaa)DE-He213 Kogan, Michael D. verfasserin aut Siahpush, Mohammad verfasserin aut van Dyck, Peter C. verfasserin aut Enthalten in Journal of community health Dordrecht [u.a.] : Springer Science + Business Media B.V, 1975 33(2008), 4 vom: 29. März, Seite 206-216 (DE-627)32057346X (DE-600)2016765-9 1573-3610 nnns volume:33 year:2008 number:4 day:29 month:03 pages:206-216 https://dx.doi.org/10.1007/s10900-008-9094-8 lizenzpflichtig 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_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 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_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 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_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2949 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 44.11 ASE AR 33 2008 4 29 03 206-216 |
| spelling |
10.1007/s10900-008-9094-8 doi (DE-627)SPR014474751 (SPR)s10900-008-9094-8-e DE-627 ger DE-627 rakwb eng 610 ASE 44.11 bkl Singh, Gopal K. verfasserin aut Independent and Joint Effects of Socioeconomic, Behavioral, and Neighborhood Characteristics on Physical Inactivity and Activity Levels Among US Children and Adolescents 2008 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This study examines the independent and joint associations between several socioeconomic and behavioral characteristics and physical activity (PA) and inactivity prevalence among 68,288 US children aged 6–17 years. The 2003 National Survey of Children’s Health was used to estimate PA prevalence. Multivariate logistic regression was used to estimate odds of activity and inactivity and adjusted prevalence, while least squares regression was used to model mean number of days of physical inactivity (PIA) in past month. The prevalence of PA varied substantially by socioeconomic and behavioral characteristics, with older, female, non-English speaking, and metropolitan children and those with lower socioeconomic status (SES) and neighborhood social capital having higher inactivity and lower activity levels. Children who watched television ≥3 h/day had 60% higher adjusted odds of PIA and 30% lower odds of PA than those who watched television <3 h/day. Children experiencing inadequate sleep during the entire week had 55% higher odds of PIA and 29% lower odds of PA than those who experienced ≥5 nights of adequate sleep during the week. Children whose both parents were physically inactive had 147% higher odds of PIA and 46% lower odds of PA than children whose parents were both physically active. Differentials in PIA by ethnicity, SES, television viewing, and parental inactivity were greater for younger than for older children. Subgroups such as older, female adolescents, children from socially disadvantaged households and neighborhoods, and those in metropolitan areas should be targeted for the promotion of regular physical activity and reduced television viewing time. Childhood physical activity (dpeaa)DE-He213 Inactivity (dpeaa)DE-He213 Ethnicity (dpeaa)DE-He213 Socioeconomic status (dpeaa)DE-He213 Social capital (dpeaa)DE-He213 Neighborhood safety (dpeaa)DE-He213 Television viewing (dpeaa)DE-He213 Sleep deprivation (dpeaa)DE-He213 Parental behavior (dpeaa)DE-He213 United States (dpeaa)DE-He213 Kogan, Michael D. verfasserin aut Siahpush, Mohammad verfasserin aut van Dyck, Peter C. verfasserin aut Enthalten in Journal of community health Dordrecht [u.a.] : Springer Science + Business Media B.V, 1975 33(2008), 4 vom: 29. März, Seite 206-216 (DE-627)32057346X (DE-600)2016765-9 1573-3610 nnns volume:33 year:2008 number:4 day:29 month:03 pages:206-216 https://dx.doi.org/10.1007/s10900-008-9094-8 lizenzpflichtig 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_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 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_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 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_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2949 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 44.11 ASE AR 33 2008 4 29 03 206-216 |
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10.1007/s10900-008-9094-8 doi (DE-627)SPR014474751 (SPR)s10900-008-9094-8-e DE-627 ger DE-627 rakwb eng 610 ASE 44.11 bkl Singh, Gopal K. verfasserin aut Independent and Joint Effects of Socioeconomic, Behavioral, and Neighborhood Characteristics on Physical Inactivity and Activity Levels Among US Children and Adolescents 2008 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This study examines the independent and joint associations between several socioeconomic and behavioral characteristics and physical activity (PA) and inactivity prevalence among 68,288 US children aged 6–17 years. The 2003 National Survey of Children’s Health was used to estimate PA prevalence. Multivariate logistic regression was used to estimate odds of activity and inactivity and adjusted prevalence, while least squares regression was used to model mean number of days of physical inactivity (PIA) in past month. The prevalence of PA varied substantially by socioeconomic and behavioral characteristics, with older, female, non-English speaking, and metropolitan children and those with lower socioeconomic status (SES) and neighborhood social capital having higher inactivity and lower activity levels. Children who watched television ≥3 h/day had 60% higher adjusted odds of PIA and 30% lower odds of PA than those who watched television <3 h/day. Children experiencing inadequate sleep during the entire week had 55% higher odds of PIA and 29% lower odds of PA than those who experienced ≥5 nights of adequate sleep during the week. Children whose both parents were physically inactive had 147% higher odds of PIA and 46% lower odds of PA than children whose parents were both physically active. Differentials in PIA by ethnicity, SES, television viewing, and parental inactivity were greater for younger than for older children. Subgroups such as older, female adolescents, children from socially disadvantaged households and neighborhoods, and those in metropolitan areas should be targeted for the promotion of regular physical activity and reduced television viewing time. Childhood physical activity (dpeaa)DE-He213 Inactivity (dpeaa)DE-He213 Ethnicity (dpeaa)DE-He213 Socioeconomic status (dpeaa)DE-He213 Social capital (dpeaa)DE-He213 Neighborhood safety (dpeaa)DE-He213 Television viewing (dpeaa)DE-He213 Sleep deprivation (dpeaa)DE-He213 Parental behavior (dpeaa)DE-He213 United States (dpeaa)DE-He213 Kogan, Michael D. verfasserin aut Siahpush, Mohammad verfasserin aut van Dyck, Peter C. verfasserin aut Enthalten in Journal of community health Dordrecht [u.a.] : Springer Science + Business Media B.V, 1975 33(2008), 4 vom: 29. März, Seite 206-216 (DE-627)32057346X (DE-600)2016765-9 1573-3610 nnns volume:33 year:2008 number:4 day:29 month:03 pages:206-216 https://dx.doi.org/10.1007/s10900-008-9094-8 lizenzpflichtig 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_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 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_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 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_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2949 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 44.11 ASE AR 33 2008 4 29 03 206-216 |
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10.1007/s10900-008-9094-8 doi (DE-627)SPR014474751 (SPR)s10900-008-9094-8-e DE-627 ger DE-627 rakwb eng 610 ASE 44.11 bkl Singh, Gopal K. verfasserin aut Independent and Joint Effects of Socioeconomic, Behavioral, and Neighborhood Characteristics on Physical Inactivity and Activity Levels Among US Children and Adolescents 2008 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This study examines the independent and joint associations between several socioeconomic and behavioral characteristics and physical activity (PA) and inactivity prevalence among 68,288 US children aged 6–17 years. The 2003 National Survey of Children’s Health was used to estimate PA prevalence. Multivariate logistic regression was used to estimate odds of activity and inactivity and adjusted prevalence, while least squares regression was used to model mean number of days of physical inactivity (PIA) in past month. The prevalence of PA varied substantially by socioeconomic and behavioral characteristics, with older, female, non-English speaking, and metropolitan children and those with lower socioeconomic status (SES) and neighborhood social capital having higher inactivity and lower activity levels. Children who watched television ≥3 h/day had 60% higher adjusted odds of PIA and 30% lower odds of PA than those who watched television <3 h/day. Children experiencing inadequate sleep during the entire week had 55% higher odds of PIA and 29% lower odds of PA than those who experienced ≥5 nights of adequate sleep during the week. Children whose both parents were physically inactive had 147% higher odds of PIA and 46% lower odds of PA than children whose parents were both physically active. Differentials in PIA by ethnicity, SES, television viewing, and parental inactivity were greater for younger than for older children. Subgroups such as older, female adolescents, children from socially disadvantaged households and neighborhoods, and those in metropolitan areas should be targeted for the promotion of regular physical activity and reduced television viewing time. Childhood physical activity (dpeaa)DE-He213 Inactivity (dpeaa)DE-He213 Ethnicity (dpeaa)DE-He213 Socioeconomic status (dpeaa)DE-He213 Social capital (dpeaa)DE-He213 Neighborhood safety (dpeaa)DE-He213 Television viewing (dpeaa)DE-He213 Sleep deprivation (dpeaa)DE-He213 Parental behavior (dpeaa)DE-He213 United States (dpeaa)DE-He213 Kogan, Michael D. verfasserin aut Siahpush, Mohammad verfasserin aut van Dyck, Peter C. verfasserin aut Enthalten in Journal of community health Dordrecht [u.a.] : Springer Science + Business Media B.V, 1975 33(2008), 4 vom: 29. März, Seite 206-216 (DE-627)32057346X (DE-600)2016765-9 1573-3610 nnns volume:33 year:2008 number:4 day:29 month:03 pages:206-216 https://dx.doi.org/10.1007/s10900-008-9094-8 lizenzpflichtig 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_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 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_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 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_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2949 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 44.11 ASE AR 33 2008 4 29 03 206-216 |
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10.1007/s10900-008-9094-8 doi (DE-627)SPR014474751 (SPR)s10900-008-9094-8-e DE-627 ger DE-627 rakwb eng 610 ASE 44.11 bkl Singh, Gopal K. verfasserin aut Independent and Joint Effects of Socioeconomic, Behavioral, and Neighborhood Characteristics on Physical Inactivity and Activity Levels Among US Children and Adolescents 2008 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This study examines the independent and joint associations between several socioeconomic and behavioral characteristics and physical activity (PA) and inactivity prevalence among 68,288 US children aged 6–17 years. The 2003 National Survey of Children’s Health was used to estimate PA prevalence. Multivariate logistic regression was used to estimate odds of activity and inactivity and adjusted prevalence, while least squares regression was used to model mean number of days of physical inactivity (PIA) in past month. The prevalence of PA varied substantially by socioeconomic and behavioral characteristics, with older, female, non-English speaking, and metropolitan children and those with lower socioeconomic status (SES) and neighborhood social capital having higher inactivity and lower activity levels. Children who watched television ≥3 h/day had 60% higher adjusted odds of PIA and 30% lower odds of PA than those who watched television <3 h/day. Children experiencing inadequate sleep during the entire week had 55% higher odds of PIA and 29% lower odds of PA than those who experienced ≥5 nights of adequate sleep during the week. Children whose both parents were physically inactive had 147% higher odds of PIA and 46% lower odds of PA than children whose parents were both physically active. Differentials in PIA by ethnicity, SES, television viewing, and parental inactivity were greater for younger than for older children. Subgroups such as older, female adolescents, children from socially disadvantaged households and neighborhoods, and those in metropolitan areas should be targeted for the promotion of regular physical activity and reduced television viewing time. Childhood physical activity (dpeaa)DE-He213 Inactivity (dpeaa)DE-He213 Ethnicity (dpeaa)DE-He213 Socioeconomic status (dpeaa)DE-He213 Social capital (dpeaa)DE-He213 Neighborhood safety (dpeaa)DE-He213 Television viewing (dpeaa)DE-He213 Sleep deprivation (dpeaa)DE-He213 Parental behavior (dpeaa)DE-He213 United States (dpeaa)DE-He213 Kogan, Michael D. verfasserin aut Siahpush, Mohammad verfasserin aut van Dyck, Peter C. verfasserin aut Enthalten in Journal of community health Dordrecht [u.a.] : Springer Science + Business Media B.V, 1975 33(2008), 4 vom: 29. März, Seite 206-216 (DE-627)32057346X (DE-600)2016765-9 1573-3610 nnns volume:33 year:2008 number:4 day:29 month:03 pages:206-216 https://dx.doi.org/10.1007/s10900-008-9094-8 lizenzpflichtig 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_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 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_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 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_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2949 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 44.11 ASE AR 33 2008 4 29 03 206-216 |
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Enthalten in Journal of community health 33(2008), 4 vom: 29. März, Seite 206-216 volume:33 year:2008 number:4 day:29 month:03 pages:206-216 |
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Singh, Gopal K. @@aut@@ Kogan, Michael D. @@aut@@ Siahpush, Mohammad @@aut@@ van Dyck, Peter C. @@aut@@ |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR014474751</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230519202040.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201006s2008 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s10900-008-9094-8</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR014474751</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s10900-008-9094-8-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.11</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Singh, Gopal K.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Independent and Joint Effects of Socioeconomic, Behavioral, and Neighborhood Characteristics on Physical Inactivity and Activity Levels Among US Children and Adolescents</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2008</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract This study examines the independent and joint associations between several socioeconomic and behavioral characteristics and physical activity (PA) and inactivity prevalence among 68,288 US children aged 6–17 years. The 2003 National Survey of Children’s Health was used to estimate PA prevalence. Multivariate logistic regression was used to estimate odds of activity and inactivity and adjusted prevalence, while least squares regression was used to model mean number of days of physical inactivity (PIA) in past month. The prevalence of PA varied substantially by socioeconomic and behavioral characteristics, with older, female, non-English speaking, and metropolitan children and those with lower socioeconomic status (SES) and neighborhood social capital having higher inactivity and lower activity levels. Children who watched television ≥3 h/day had 60% higher adjusted odds of PIA and 30% lower odds of PA than those who watched television <3 h/day. Children experiencing inadequate sleep during the entire week had 55% higher odds of PIA and 29% lower odds of PA than those who experienced ≥5 nights of adequate sleep during the week. Children whose both parents were physically inactive had 147% higher odds of PIA and 46% lower odds of PA than children whose parents were both physically active. Differentials in PIA by ethnicity, SES, television viewing, and parental inactivity were greater for younger than for older children. Subgroups such as older, female adolescents, children from socially disadvantaged households and neighborhoods, and those in metropolitan areas should be targeted for the promotion of regular physical activity and reduced television viewing time.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Childhood physical activity</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Inactivity</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Ethnicity</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Socioeconomic status</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Social capital</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Neighborhood safety</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Television viewing</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Sleep deprivation</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Parental behavior</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">United States</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kogan, Michael D.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Siahpush, Mohammad</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">van Dyck, Peter C.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Journal of community health</subfield><subfield code="d">Dordrecht [u.a.] : Springer Science + Business Media B.V, 1975</subfield><subfield code="g">33(2008), 4 vom: 29. 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|
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Singh, Gopal K. |
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Singh, Gopal K. ddc 610 bkl 44.11 misc Childhood physical activity misc Inactivity misc Ethnicity misc Socioeconomic status misc Social capital misc Neighborhood safety misc Television viewing misc Sleep deprivation misc Parental behavior misc United States Independent and Joint Effects of Socioeconomic, Behavioral, and Neighborhood Characteristics on Physical Inactivity and Activity Levels Among US Children and Adolescents |
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610 ASE 44.11 bkl Independent and Joint Effects of Socioeconomic, Behavioral, and Neighborhood Characteristics on Physical Inactivity and Activity Levels Among US Children and Adolescents Childhood physical activity (dpeaa)DE-He213 Inactivity (dpeaa)DE-He213 Ethnicity (dpeaa)DE-He213 Socioeconomic status (dpeaa)DE-He213 Social capital (dpeaa)DE-He213 Neighborhood safety (dpeaa)DE-He213 Television viewing (dpeaa)DE-He213 Sleep deprivation (dpeaa)DE-He213 Parental behavior (dpeaa)DE-He213 United States (dpeaa)DE-He213 |
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ddc 610 bkl 44.11 misc Childhood physical activity misc Inactivity misc Ethnicity misc Socioeconomic status misc Social capital misc Neighborhood safety misc Television viewing misc Sleep deprivation misc Parental behavior misc United States |
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ddc 610 bkl 44.11 misc Childhood physical activity misc Inactivity misc Ethnicity misc Socioeconomic status misc Social capital misc Neighborhood safety misc Television viewing misc Sleep deprivation misc Parental behavior misc United States |
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Independent and Joint Effects of Socioeconomic, Behavioral, and Neighborhood Characteristics on Physical Inactivity and Activity Levels Among US Children and Adolescents |
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Singh, Gopal K. |
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Journal of community health |
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Singh, Gopal K. Kogan, Michael D. Siahpush, Mohammad van Dyck, Peter C. |
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Singh, Gopal K. |
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10.1007/s10900-008-9094-8 |
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610 |
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| title_sort |
independent and joint effects of socioeconomic, behavioral, and neighborhood characteristics on physical inactivity and activity levels among us children and adolescents |
| title_auth |
Independent and Joint Effects of Socioeconomic, Behavioral, and Neighborhood Characteristics on Physical Inactivity and Activity Levels Among US Children and Adolescents |
| abstract |
Abstract This study examines the independent and joint associations between several socioeconomic and behavioral characteristics and physical activity (PA) and inactivity prevalence among 68,288 US children aged 6–17 years. The 2003 National Survey of Children’s Health was used to estimate PA prevalence. Multivariate logistic regression was used to estimate odds of activity and inactivity and adjusted prevalence, while least squares regression was used to model mean number of days of physical inactivity (PIA) in past month. The prevalence of PA varied substantially by socioeconomic and behavioral characteristics, with older, female, non-English speaking, and metropolitan children and those with lower socioeconomic status (SES) and neighborhood social capital having higher inactivity and lower activity levels. Children who watched television ≥3 h/day had 60% higher adjusted odds of PIA and 30% lower odds of PA than those who watched television <3 h/day. Children experiencing inadequate sleep during the entire week had 55% higher odds of PIA and 29% lower odds of PA than those who experienced ≥5 nights of adequate sleep during the week. Children whose both parents were physically inactive had 147% higher odds of PIA and 46% lower odds of PA than children whose parents were both physically active. Differentials in PIA by ethnicity, SES, television viewing, and parental inactivity were greater for younger than for older children. Subgroups such as older, female adolescents, children from socially disadvantaged households and neighborhoods, and those in metropolitan areas should be targeted for the promotion of regular physical activity and reduced television viewing time. |
| abstractGer |
Abstract This study examines the independent and joint associations between several socioeconomic and behavioral characteristics and physical activity (PA) and inactivity prevalence among 68,288 US children aged 6–17 years. The 2003 National Survey of Children’s Health was used to estimate PA prevalence. Multivariate logistic regression was used to estimate odds of activity and inactivity and adjusted prevalence, while least squares regression was used to model mean number of days of physical inactivity (PIA) in past month. The prevalence of PA varied substantially by socioeconomic and behavioral characteristics, with older, female, non-English speaking, and metropolitan children and those with lower socioeconomic status (SES) and neighborhood social capital having higher inactivity and lower activity levels. Children who watched television ≥3 h/day had 60% higher adjusted odds of PIA and 30% lower odds of PA than those who watched television <3 h/day. Children experiencing inadequate sleep during the entire week had 55% higher odds of PIA and 29% lower odds of PA than those who experienced ≥5 nights of adequate sleep during the week. Children whose both parents were physically inactive had 147% higher odds of PIA and 46% lower odds of PA than children whose parents were both physically active. Differentials in PIA by ethnicity, SES, television viewing, and parental inactivity were greater for younger than for older children. Subgroups such as older, female adolescents, children from socially disadvantaged households and neighborhoods, and those in metropolitan areas should be targeted for the promotion of regular physical activity and reduced television viewing time. |
| abstract_unstemmed |
Abstract This study examines the independent and joint associations between several socioeconomic and behavioral characteristics and physical activity (PA) and inactivity prevalence among 68,288 US children aged 6–17 years. The 2003 National Survey of Children’s Health was used to estimate PA prevalence. Multivariate logistic regression was used to estimate odds of activity and inactivity and adjusted prevalence, while least squares regression was used to model mean number of days of physical inactivity (PIA) in past month. The prevalence of PA varied substantially by socioeconomic and behavioral characteristics, with older, female, non-English speaking, and metropolitan children and those with lower socioeconomic status (SES) and neighborhood social capital having higher inactivity and lower activity levels. Children who watched television ≥3 h/day had 60% higher adjusted odds of PIA and 30% lower odds of PA than those who watched television <3 h/day. Children experiencing inadequate sleep during the entire week had 55% higher odds of PIA and 29% lower odds of PA than those who experienced ≥5 nights of adequate sleep during the week. Children whose both parents were physically inactive had 147% higher odds of PIA and 46% lower odds of PA than children whose parents were both physically active. Differentials in PIA by ethnicity, SES, television viewing, and parental inactivity were greater for younger than for older children. Subgroups such as older, female adolescents, children from socially disadvantaged households and neighborhoods, and those in metropolitan areas should be targeted for the promotion of regular physical activity and reduced television viewing time. |
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| title_short |
Independent and Joint Effects of Socioeconomic, Behavioral, and Neighborhood Characteristics on Physical Inactivity and Activity Levels Among US Children and Adolescents |
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https://dx.doi.org/10.1007/s10900-008-9094-8 |
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| score |
7.399749 |