The Experts below are selected from a list of 5211 Experts worldwide ranked by ideXlab platform
Hugo Priemus - One of the best experts on this subject based on the ideXlab platform.
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is the landlord levy a threat to the Rented Housing sector the case of the netherlands
European Journal of Housing Policy, 2014Co-Authors: Hugo PriemusAbstract:In 2010 a working party made up of Dutch civil servants suggested a tool known as the ‘National Residential Property Tax’ with the aim of strengthening the public budget. Initially, this was intend...
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understanding social capital in recently restructured urban neighbourhoods two case studies in rotterdam
Urban Studies, 2007Co-Authors: Reinout Kleinhans, Hugo Priemus, Godfried EngbersenAbstract:In the major Dutch cities, social Rented Housing in post-war neighbourhoods has been demolished and largely replaced by more expensive owner-occupied and rental Housing. Through residential mobility, these measures can trigger substantial population changes. This paper studies residents' social capital in two recently restructured neighbourhoods in the city of Rotterdam. It distinguishes between the stayers, movers and newcomers. In a neighbourhood context, social capital refers to the benefit of cursory interactions, shared norms, trust and collective action of residents. Survey data show that social capital is not only an asset of long-term stayers, but that in particular newcomers are relatively rich in social capital. Factors associated with higher levels of social capital are a higher net income, presence of households with children, stronger place attachment, higher perceived neighbourhood quality, homeownership and single-family dwellings. The expected future length of residence in the area appears...
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revolution in social Housing in the netherlands possible effects of new Housing policies
Urban Studies, 2002Co-Authors: Ronald Van Kempen, Hugo PriemusAbstract:The social Rented sector in the Netherlands has always had a very special status. Unlike many other countries, in the Netherlands this sector has never been regarded as a segment exclusively for low-income households. Consequently, neighbourhoods with large numbers of social Rented dwellings have never been areas for low-income households only. Since about 1990, however, the proportion of low-income households in social Rented Housing has increased, while high-income households can be found more and more in the owner-occupied sector. At least for the 1990s, Housing policies can be seen as partially responsible for this change. In this contribution, we argue that new Housing policies in the Netherlands will probably have the effect of increasing the share of low-income households in social Housing even more. This holds for the policy of urban restructuring, initiated in 1997, as well as for the newest plans of the State Secretary of Housing that were launched in his Housing Memorandum at the end of the yea...
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social Housing as a transitional tenure reflections on the netherlands new Housing memorandum 2000 2010
Housing Studies, 2001Co-Authors: Hugo PriemusAbstract:This contribution gives some reflections on the Netherlands' New Housing Memorandum 2000-2010, which was published on 15 May 2000. This Housing Memorandum urges the Housing corporations (the social Housing organisations which own 37 per cent of the Housing stock) to sell 500 000 dwellings in 10 years. This seems to confirm Harloe's assertion that social Housing in Europe is only a transitional tenure. Even in the Netherlands-champion of social Rented Housing within the European Union-the owner occupied sector would seem destined to marginalise the social Rented sector in the long run. This paper argues that the Housing corporations, being private, independent social entrepreneurs, will be only partially inclined to take the political message of the Housing Memorandum to heart. It is expected that the Dutch social Rented sector will remain a differentiated sector and continue to blossom alongside home ownership. Harloe's theory will, in short, not be confirmed by the Housing developments in the Netherlands.
Rachel Loopstra - One of the best experts on this subject based on the ideXlab platform.
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The Housing Situations of Food Bank Users in Great Britain
Social Policy and Society, 2019Co-Authors: Amy Clair, Jasmine Fledderjohann, Doireann Lalor, Rachel LoopstraAbstract:Food bank use in Great Britain has risen substantially over the last decade. The considerable socioeconomic disadvantage of the food bank user population has been documented, but little research has examined whether Housing problems intersect with insecure food access. Using data from 598 households accessing assistance from twenty-four food banks operating in Great Britain in 2016–2017, we found that nearly 18 per cent of households were homeless, with more having experienced homelessness in the past twelve months. Renters from both the private and social Rented sectors were also overrepresented in the sample. Households in both private and social Rented Housing reported high rates of rent arrears and poor conditions; those in private Housing were also more likely to live in homes with damp, to have moved in past year, and to be worried about a forced move in future. Overall, Housing problems are widespread among food bank users; policy interventions are needed.
Alec Miners - One of the best experts on this subject based on the ideXlab platform.
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prospective association of social circumstance socioeconomic lifestyle and mental health factors with subsequent hospitalisation over 6 7 year follow up in people living with hiv
EClinicalMedicine, 2021Co-Authors: Sophia M Rein, Colette J Smith, Clinton Chaloner, Adam Stafford, Alison Rodger, Margaret Johnson, Jeffrey Mcdonnell, Fiona Burns, Sara Madge, Alec MinersAbstract:Abstract Background Predictors of hospitalisation in people with HIV (PLHIV) in the contemporary treatment era are not well understood. Methods This ASTRA sub-study used clinic data linkage and record review to determine occurrence of hospitalisations among 798 PLHIV from baseline questionnaire (February to December 2011) until 1 June 2018. Associations of baseline social circumstance, socioeconomic, lifestyle, mental health, demographic and clinical factors with repeated all-cause hospitalisation from longitudinal data were investigated using Prentice-Williams-Peterson models. Associations were also assessed in 461 individuals on antiretroviral therapy (ART) with viral load ≤50 copies/ml and CD4 count ≥500 cells/ µl. Findings Rate of hospitalisation was 5.8/100 person-years (95% CI: 5.1–6.5). Adjusted for age, demographic group and time with diagnosed HIV, the following social circumstance, socioeconomic, lifestyle and mental health factors predicted hospitalisation: no stable partner (adjusted hazard ratio (aHR)=1.59; 95% CI=1.16–2.20 vs living with partner); having children (aHR=1.50; 1.08–2.10); non-employment (aHR=1.56; 1.07–2.27 for unemployment; aHR=2.39; 1.70–3.37 for sick/disabled vs employed); Rented Housing (aHR=1.72; 1.26–2.37 vs homeowner); not enough money for basic needs (aHR=1.82; 1.19–2.78 vs enough); current smoking (aHR=1.39; 1.02–1.91 vs never); recent injection-drug use (aHR=2.11; 1.30–3.43); anxiety symptoms (aHRs=1.39; 1.01–1.91, 2.06; 1.43–2.95 for mild and moderate vs none/minimal); depressive symptoms (aHRs=1.67; 1.17–2.38, 1.91; 1.30–2.78 for moderate and severe vs none/minimal); treated/untreated depression (aHRs=1.65; 1.03–2.64 for treated depression only, 1.87; 1.39–2.52 for depressive symptoms only; 1.53; 1.05–2.24; for treated depression and depressive symptoms, versus neither). Associations were broadly similar in those with controlled HIV and high CD4. Interpretation Social circumstance, socioeconomic disadvantage, adverse lifestyle factors and poorer mental health are strong predictors of hospitalisation in PLHIV, highlighting the need for targeted interventions and care. Funding British HIV Association (BHIVA) Research Award (2017); SMR funded by a PhD fellowship from the Royal Free Charity.
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prospective association of social circumstance socioeconomic lifestyle and mental health factors with subsequent hospitalisation over 6 7 year follow up in people living with hiv
Social Science Research Network, 2020Co-Authors: Sophia M Rein, Colette J Smith, Clinton Chaloner, Adam Stafford, Alison Rodger, Margaret Johnson, Jeffrey Mcdonnell, Fiona Burns, Sara Madge, Alec MinersAbstract:Background: Predictors of hospitalisation in people with HIV (PLHIV) in the contemporary treatment era are not well understood. Methods: This ASTRA questionnaire sub-study used clinic data linkage and medical record review to determine occurrence of hospitalisations among 798 PLHIV from questionnaire completion (2011-2012; baseline) until 1 June 2018. Associations of baseline social circumstance, socioeconomic, lifestyle, mental health, demographic and clinical factors with repeated all-cause hospitalisation were investigated using Prentice-Williams-Peterson models. Associations were also assessed in 461 individuals with CD4 count ≥500 cells/mm3, viral load ≤50 copies/ml, on antiretroviral therapy (ART). Findings: Rate of hospitalisation was 5·8/100 person-years (95% CI: 5·1-6·5). Adjusted for age, demographic group and time with diagnosed HIV, the following factors predicted hospitalisation: no stable partner (aHR=1·59; 95% CI=1·16-2·20); having children (aHR=1·50; 1·08-2.10); non-employment (aHR=1·56; 1·07-2·27 for unemployment; aHR=2·39; 1·70-3·37 for sick/disabled vs employed); Rented Housing (aHR=1·72; 1·26-2·37 vs homeowner); not enough money for basic needs (aHR=1·82; 1·19-2·78 vs enough); current smoking (aHR=1·39; 1·02-1·91 vs never); recent injection-drug use (aHR=2·11; 1·30-3·43); anxiety symptoms (aHRs=1·39; 1·01-1·91, 2·06; 1·43-2.95 for mild and moderate vs none/minimal); depressive symptoms (aHRs=1·67; 1·17-2·38, 1·91; 1·30-2·78 for moderate and severe vs none/minimal); treated/untreated depression (aHRs=1·53; 1·05-2·24, 1·87; 1·39-2·52). Associations were similar in those with controlled HIV and high CD4. Interpretation: Social and socioeconomic disadvantage, adverse lifestyle factors and poorer mental health are strong predictors of hospitalisation in PLHIV, highlighting the need for targeted interventions and care. Funding Statement: British HIV Association (BHIVA) Research Award (2017); SMR funded by a PhD fellowship from the Royal Free Charity. The ASTRA study presents independent research funded by the National Institute for Health Research (NIHR) under its Programme Grants for Applied Research funding scheme (RP-PG-0608–10142). Declaration of Interests: The authors declare no competing interests. Ethics Approval Statement: Ethical approval for the ASTRA study was obtained via the North West London research ethics committee (reference 10/H0720/70).
Amy Clair - One of the best experts on this subject based on the ideXlab platform.
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The Housing Situations of Food Bank Users in Great Britain
Social Policy and Society, 2019Co-Authors: Amy Clair, Jasmine Fledderjohann, Doireann Lalor, Rachel LoopstraAbstract:Food bank use in Great Britain has risen substantially over the last decade. The considerable socioeconomic disadvantage of the food bank user population has been documented, but little research has examined whether Housing problems intersect with insecure food access. Using data from 598 households accessing assistance from twenty-four food banks operating in Great Britain in 2016–2017, we found that nearly 18 per cent of households were homeless, with more having experienced homelessness in the past twelve months. Renters from both the private and social Rented sectors were also overrepresented in the sample. Households in both private and social Rented Housing reported high rates of rent arrears and poor conditions; those in private Housing were also more likely to live in homes with damp, to have moved in past year, and to be worried about a forced move in future. Overall, Housing problems are widespread among food bank users; policy interventions are needed.
Sophia M Rein - One of the best experts on this subject based on the ideXlab platform.
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prospective association of social circumstance socioeconomic lifestyle and mental health factors with subsequent hospitalisation over 6 7 year follow up in people living with hiv
EClinicalMedicine, 2021Co-Authors: Sophia M Rein, Colette J Smith, Clinton Chaloner, Adam Stafford, Alison Rodger, Margaret Johnson, Jeffrey Mcdonnell, Fiona Burns, Sara Madge, Alec MinersAbstract:Abstract Background Predictors of hospitalisation in people with HIV (PLHIV) in the contemporary treatment era are not well understood. Methods This ASTRA sub-study used clinic data linkage and record review to determine occurrence of hospitalisations among 798 PLHIV from baseline questionnaire (February to December 2011) until 1 June 2018. Associations of baseline social circumstance, socioeconomic, lifestyle, mental health, demographic and clinical factors with repeated all-cause hospitalisation from longitudinal data were investigated using Prentice-Williams-Peterson models. Associations were also assessed in 461 individuals on antiretroviral therapy (ART) with viral load ≤50 copies/ml and CD4 count ≥500 cells/ µl. Findings Rate of hospitalisation was 5.8/100 person-years (95% CI: 5.1–6.5). Adjusted for age, demographic group and time with diagnosed HIV, the following social circumstance, socioeconomic, lifestyle and mental health factors predicted hospitalisation: no stable partner (adjusted hazard ratio (aHR)=1.59; 95% CI=1.16–2.20 vs living with partner); having children (aHR=1.50; 1.08–2.10); non-employment (aHR=1.56; 1.07–2.27 for unemployment; aHR=2.39; 1.70–3.37 for sick/disabled vs employed); Rented Housing (aHR=1.72; 1.26–2.37 vs homeowner); not enough money for basic needs (aHR=1.82; 1.19–2.78 vs enough); current smoking (aHR=1.39; 1.02–1.91 vs never); recent injection-drug use (aHR=2.11; 1.30–3.43); anxiety symptoms (aHRs=1.39; 1.01–1.91, 2.06; 1.43–2.95 for mild and moderate vs none/minimal); depressive symptoms (aHRs=1.67; 1.17–2.38, 1.91; 1.30–2.78 for moderate and severe vs none/minimal); treated/untreated depression (aHRs=1.65; 1.03–2.64 for treated depression only, 1.87; 1.39–2.52 for depressive symptoms only; 1.53; 1.05–2.24; for treated depression and depressive symptoms, versus neither). Associations were broadly similar in those with controlled HIV and high CD4. Interpretation Social circumstance, socioeconomic disadvantage, adverse lifestyle factors and poorer mental health are strong predictors of hospitalisation in PLHIV, highlighting the need for targeted interventions and care. Funding British HIV Association (BHIVA) Research Award (2017); SMR funded by a PhD fellowship from the Royal Free Charity.
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prospective association of social circumstance socioeconomic lifestyle and mental health factors with subsequent hospitalisation over 6 7 year follow up in people living with hiv
Social Science Research Network, 2020Co-Authors: Sophia M Rein, Colette J Smith, Clinton Chaloner, Adam Stafford, Alison Rodger, Margaret Johnson, Jeffrey Mcdonnell, Fiona Burns, Sara Madge, Alec MinersAbstract:Background: Predictors of hospitalisation in people with HIV (PLHIV) in the contemporary treatment era are not well understood. Methods: This ASTRA questionnaire sub-study used clinic data linkage and medical record review to determine occurrence of hospitalisations among 798 PLHIV from questionnaire completion (2011-2012; baseline) until 1 June 2018. Associations of baseline social circumstance, socioeconomic, lifestyle, mental health, demographic and clinical factors with repeated all-cause hospitalisation were investigated using Prentice-Williams-Peterson models. Associations were also assessed in 461 individuals with CD4 count ≥500 cells/mm3, viral load ≤50 copies/ml, on antiretroviral therapy (ART). Findings: Rate of hospitalisation was 5·8/100 person-years (95% CI: 5·1-6·5). Adjusted for age, demographic group and time with diagnosed HIV, the following factors predicted hospitalisation: no stable partner (aHR=1·59; 95% CI=1·16-2·20); having children (aHR=1·50; 1·08-2.10); non-employment (aHR=1·56; 1·07-2·27 for unemployment; aHR=2·39; 1·70-3·37 for sick/disabled vs employed); Rented Housing (aHR=1·72; 1·26-2·37 vs homeowner); not enough money for basic needs (aHR=1·82; 1·19-2·78 vs enough); current smoking (aHR=1·39; 1·02-1·91 vs never); recent injection-drug use (aHR=2·11; 1·30-3·43); anxiety symptoms (aHRs=1·39; 1·01-1·91, 2·06; 1·43-2.95 for mild and moderate vs none/minimal); depressive symptoms (aHRs=1·67; 1·17-2·38, 1·91; 1·30-2·78 for moderate and severe vs none/minimal); treated/untreated depression (aHRs=1·53; 1·05-2·24, 1·87; 1·39-2·52). Associations were similar in those with controlled HIV and high CD4. Interpretation: Social and socioeconomic disadvantage, adverse lifestyle factors and poorer mental health are strong predictors of hospitalisation in PLHIV, highlighting the need for targeted interventions and care. Funding Statement: British HIV Association (BHIVA) Research Award (2017); SMR funded by a PhD fellowship from the Royal Free Charity. The ASTRA study presents independent research funded by the National Institute for Health Research (NIHR) under its Programme Grants for Applied Research funding scheme (RP-PG-0608–10142). Declaration of Interests: The authors declare no competing interests. Ethics Approval Statement: Ethical approval for the ASTRA study was obtained via the North West London research ethics committee (reference 10/H0720/70).
