Predictors of loneliness and different types of social isolation of rural-living older adults in the UK

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Predictors of loneliness and different types of social isolation of rural-living older adults in the UK. / De Koning, Jolanthe Louise; Stathi, Afroditi; Richards, Suzanne.

In: Ageing and Society, Vol. 37, No. 10, 01.11.2017, p. 2012-2043.

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De Koning, Jolanthe Louise ; Stathi, Afroditi ; Richards, Suzanne. / Predictors of loneliness and different types of social isolation of rural-living older adults in the UK. In: Ageing and Society. 2017 ; Vol. 37, No. 10. pp. 2012-2043.

Bibtex

@article{d2b9772e1aa24883b7557c3b3ba16236,
title = "Predictors of loneliness and different types of social isolation of rural-living older adults in the UK",
abstract = "Loneliness and social isolation are recognised, conceptually distinct threats to health and wellbeing in older age but limited evidence is available on their predictors in rural populations. This study performed logistical regression modelling to explore the predictors of loneliness, isolation from one's family and isolation from one's community in 884 British rural-living older adults (57.9% female; mean age = 71.5, standard deviation = 8.1 years) within the Grey and Pleasant Land data-set. While 13 per cent of participants reported feeling lonely, 49 per cent reported isolation from their family and 9 per cent reported isolation from their community. Minimal cross-over between groups was observed. Widowhood, financial difficulties, area deprivation, and self-reported impairments in physical and mental health predicted loneliness. Greater financial difficulty gave lower odds of isolation from one's family, and higher levels of community engagement gave lower odds of isolation from the community. Ageing in place (longer residency) was the only common predictor for all three dependent variables. Initiatives aimed at tackling loneliness and social isolation in rural-living older people must recognise that the two concepts are distinct, affecting different population sub-groups with mostly different risk factor profiles. Future interventions and policies should clearly identify whether their target is loneliness or social isolation and tailor their interventions appropriately.",
keywords = "loneliness , social isolation , rural areas",
author = "{De Koning}, {Jolanthe Louise} and Afroditi Stathi and Suzanne Richards",
year = "2017",
month = nov,
day = "1",
doi = "10.1017/S0144686X16000696",
language = "English",
volume = "37",
pages = "2012--2043",
journal = "Ageing and Society",
issn = "0144-686X",
publisher = "Cambridge University Press",
number = "10",

}

RIS

TY - JOUR

T1 - Predictors of loneliness and different types of social isolation of rural-living older adults in the UK

AU - De Koning, Jolanthe Louise

AU - Stathi, Afroditi

AU - Richards, Suzanne

PY - 2017/11/1

Y1 - 2017/11/1

N2 - Loneliness and social isolation are recognised, conceptually distinct threats to health and wellbeing in older age but limited evidence is available on their predictors in rural populations. This study performed logistical regression modelling to explore the predictors of loneliness, isolation from one's family and isolation from one's community in 884 British rural-living older adults (57.9% female; mean age = 71.5, standard deviation = 8.1 years) within the Grey and Pleasant Land data-set. While 13 per cent of participants reported feeling lonely, 49 per cent reported isolation from their family and 9 per cent reported isolation from their community. Minimal cross-over between groups was observed. Widowhood, financial difficulties, area deprivation, and self-reported impairments in physical and mental health predicted loneliness. Greater financial difficulty gave lower odds of isolation from one's family, and higher levels of community engagement gave lower odds of isolation from the community. Ageing in place (longer residency) was the only common predictor for all three dependent variables. Initiatives aimed at tackling loneliness and social isolation in rural-living older people must recognise that the two concepts are distinct, affecting different population sub-groups with mostly different risk factor profiles. Future interventions and policies should clearly identify whether their target is loneliness or social isolation and tailor their interventions appropriately.

AB - Loneliness and social isolation are recognised, conceptually distinct threats to health and wellbeing in older age but limited evidence is available on their predictors in rural populations. This study performed logistical regression modelling to explore the predictors of loneliness, isolation from one's family and isolation from one's community in 884 British rural-living older adults (57.9% female; mean age = 71.5, standard deviation = 8.1 years) within the Grey and Pleasant Land data-set. While 13 per cent of participants reported feeling lonely, 49 per cent reported isolation from their family and 9 per cent reported isolation from their community. Minimal cross-over between groups was observed. Widowhood, financial difficulties, area deprivation, and self-reported impairments in physical and mental health predicted loneliness. Greater financial difficulty gave lower odds of isolation from one's family, and higher levels of community engagement gave lower odds of isolation from the community. Ageing in place (longer residency) was the only common predictor for all three dependent variables. Initiatives aimed at tackling loneliness and social isolation in rural-living older people must recognise that the two concepts are distinct, affecting different population sub-groups with mostly different risk factor profiles. Future interventions and policies should clearly identify whether their target is loneliness or social isolation and tailor their interventions appropriately.

KW - loneliness

KW - social isolation

KW - rural areas

U2 - 10.1017/S0144686X16000696

DO - 10.1017/S0144686X16000696

M3 - Article

VL - 37

SP - 2012

EP - 2043

JO - Ageing and Society

JF - Ageing and Society

SN - 0144-686X

IS - 10

ER -