Spat Spatiotemporal Epidemiol - Spatial path models with multiple indicators and multiple causes: mental health in US counties.

Tópicos

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{ measur(2081) correl(1212) valu(896) }
{ risk(3053) factor(974) diseas(938) }
{ ehr(2073) health(1662) electron(1139) }
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{ sampl(1606) size(1419) use(1276) }
{ gene(2352) biolog(1181) express(1162) }
{ first(2504) two(1366) second(1323) }
{ intervent(3218) particip(2042) group(1664) }
{ activ(1138) subject(705) human(624) }
{ time(1939) patient(1703) rate(768) }
{ patient(1821) servic(1111) care(1106) }
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{ detect(2391) sensit(1101) algorithm(908) }

Resumo

This paper considers a structural model for the impact on area mental health outcomes (poor mental health, suicide) of spatially structured latent constructs: deprivation, social capital, social fragmentation and rurality. These constructs are measured by multiple observed effect indicators, with the constructs allowed to be correlated both between and within areas. However, in the scheme developed here, particular latent constructs may also be influenced by known variables, or, via path sequences, by other constructs, possibly nonlinearly. For example, area social capital may be measured by effect indicators (e.g. associational density, charitable activity), but influenced as causes by other constructs (e.g. area deprivation), and by observed features of the socio-ethnic structure of areas. A model incorporating these features is applied to suicide mortality and the prevalence of poor mental health in 3141 US counties, which are related to the latent spatial constructs and to observed variables (e.g. county ethnic mix).

Resumo Limpo

paper consid structur model impact area mental health outcom poor mental health suicid spatial structur latent construct depriv social capit social fragment rural construct measur multipl observ effect indic construct allow correl within area howev scheme develop particular latent construct may also influenc known variabl via path sequenc construct possibl nonlinear exampl area social capit may measur effect indic eg associ densiti charit activ influenc caus construct eg area depriv observ featur socioethn structur area model incorpor featur appli suicid mortal preval poor mental health us counti relat latent spatial construct observ variabl eg counti ethnic mix

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