2019
DOI: 10.3390/ijerph16193684
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The Relationship between Cognitive Impairment and Social Vulnerability among the Elderly: Evidence from an Unconditional Quantile Regression Analysis in China

Abstract: As the global proportion of the elderly population has been growing rapidly, it has become important to better understand the holistic social factors involved in cognitive impairment in the elderly. To investigate the relationship between social vulnerability and cognitive impairment in the elderly, this study applied an unconditional quantile regression model on open source health survey data in China. It was used to estimate the relationship for full sample and subsamples divided by different levels of a spe… Show more

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Cited by 3 publications
(3 citation statements)
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“…First, the dependent variable in our dataset is highly left-skewed distributed, which suggests the advantages of quantile regressions over ordinary least squares (OLS). Second, quantile regression techniques have been widely used to study inequity issues [2,[13][14][15][16]. In this study, quantile regressions allow for estimation of different impacts of medical insurance types along the whole conditional distribution of health service utilizations, while the most commonly used OLS models are more suitable for estimation of mean utilization of health services.…”
Section: Introductionmentioning
confidence: 99%
“…First, the dependent variable in our dataset is highly left-skewed distributed, which suggests the advantages of quantile regressions over ordinary least squares (OLS). Second, quantile regression techniques have been widely used to study inequity issues [2,[13][14][15][16]. In this study, quantile regressions allow for estimation of different impacts of medical insurance types along the whole conditional distribution of health service utilizations, while the most commonly used OLS models are more suitable for estimation of mean utilization of health services.…”
Section: Introductionmentioning
confidence: 99%
“…4.4.2 | The value that social workers' integrated competencies added to health care Based on this review, studies investigated social workers' competencies with regard to patient care and focused on the fields that have been identified as core competencies for both social and healthcare professionals (CSWE, 2015;Langings & Borgemans, 2015). However, the added value of social workers' integrated competencies has been highlighted by studies that focused on the most vulnerable groups, such as older people (McGilton et al, 2018;Ramgård et al, 2015;Stanhope et al, 2015;Webbkamigad et al, 2020), families with small children (Gearing et al, 2007;Maybery et al, 2014) and patients with mental illness (Palmer et al, 2018;Stanhope et al, 2015;Zhao et al, 2019) and substance abuse (Daw et al, 2017;Stanhope et al, 2015).…”
Section: Integrating Competencies Between and Within Professionsmentioning
confidence: 99%
“…It has been reported that when patients and their caregivers have multiple chronic conditions (Webbkamigad et al, 2020) and complex needs (Spckalingam et al, 2020), they require care for longer periods of time (Palmer et al, 2018;Zhao et al, 2019) and that those need to be provided by multi-dimensional support services (DeGraaf et al, 2020;Lee et al, 2019;Peters et al, 2018). Such patients would benefit from early needs assessments and easy access to low-threshold services (Spitzer et al, 2015).…”
Section: Integrating Competencies Between and Within Professionsmentioning
confidence: 99%