Cause-specific mortality by partnership status: simultaneous analysis using longitudinal data from England and Wales

Franke, Sebastian; Kulu, Hill

doi:10.1136/jech-2017-210339

Cited by 12 publications

(5 citation statements)

References 36 publications

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“…From a biographical perspective the dynamics of CR can be seen in the individual life course. At the socio-structural level dynamics of modern CR are interwoven with social determinants such as age, cohort affiliation, gender, social origin, educational level, and socio-economic status (Karlsson and Borell, 2002;Franke and Kulu, 2018). CR is therefore an intersectionally embedded social phenomenon (McCall, 2005).…”

Section: Social Change and Non-traditional Relationships In Old Agementioning

confidence: 99%

Reconstructing Research About Close Relationships in Old Age: A Contribution From Critical Gerontology

Piel

Robra

2018

Front. Sociol.

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Section: Social Change and Non-traditional Relationships In Old Agementioning

confidence: 99%

Reconstructing Research About Close Relationships in Old Age: A Contribution From Critical Gerontology

Piel

Robra

2018

Front. Sociol.

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“…An extensive literature has documented that the married have a lower mortality than the unmarried. An elevated mortality has been reported among both the never married, the divorced and the widowed, and for all causes of death, bar some forms of cancer (Berntsen, 2011 ; Franke & Kulu, 2018 ). The mortality advantage of the married has also been increasing during the last decades (Berntsen, 2011 ; Kravdal et al, 2018 ).…”

Section: Introductionmentioning

confidence: 99%

Union Status and Disability Pension

Christiansen

Kravdal

2023

Eur J Population

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A lot is known about the association between marital status and mortality, and some of these studies have included data on cohabitation. Studies on the association with health problems, rather than mortality, are often based on self-reported health outcomes, and results from these studies are mixed. As cohabitation is now widespread, more studies that include data on cohabitation are needed. We use Norwegian register data that include detailed information about union status and all cases of disability pensioning from 2005 to 2016. We employ Cox regression analysis and a within-family design in order to control for hard to measure childhood characteristics. Compared to the married, the cohabiting have a somewhat higher risk of receiving disability pension due to mental disorders, and for men also due to physical disorders. Receipt of disability pension is most common among the never married, especially for men. The association between union status and disability pensioning is stronger for mental than for physical disorders.

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“…Besides the mental health, marital status may have an influence on the mortality of general population as well [10]. It is well known to public that patients with CKD have a higher mortality risk than the general population, and the risk of mortality increased with the progression of CKD [11].…”

Section: Introductionmentioning

confidence: 99%

Effect of Marital Status on Depression and Mortality among Patients with Chronic Kidney Disease from National Health and Nutrition Examination Survey 2005–2014

et al. 2021

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Background: The relationship between marital status and CKD is rarely studied. We aimed to explore the effect of marital status on the depression and mortality of patients with CKD. Methods: The data sources came from the NHANES database during 2005–2014 and 3,865 participants were included in this study. We used logistic regression models to examine the relationship between marital status and depression of CKD patients. The Cox proportional hazard models were used to evaluate the association between marital status and mortality of CKD patients. Results: In terms of depression in CKD patients, unmarried patients had a worse situation than married patients. Meanwhile, after adjusting the covariables, unmarried patients had increased risk of depression (OR = 1.26, 95% CI: 1.01–1.57) compared with married CKD patients, especially in males (OR = 1.45, 95% CI: 1.02–2.06) and patients with more than college education level (OR = 12.4, 95% CI: 3.75–41.02). There was a significant relationship between marital status and mortality of general CKD patients (HR = 1.36, 95% CI: 1.17–1.58). Moreover, marriage showed a protective effect against death among male patients, patients with school graduate or less and more than college educational level, patients with high income, and patients in different estimated glomerular filtration rate groups. Conclusions: The use of large numbers of participants has revealed the effect of marital status on CKD patients. Unmarried ones had a higher risk of depression than married ones among CKD patients. Meanwhile, the risk of death was higher in unmarried ones than married ones among CKD patients in this study.

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Cause-specific mortality by partnership status: simultaneous analysis using longitudinal data from England and Wales

Cited by 12 publications

References 36 publications

Reconstructing Research About Close Relationships in Old Age: A Contribution From Critical Gerontology

Reconstructing Research About Close Relationships in Old Age: A Contribution From Critical Gerontology

Union Status and Disability Pension

Effect of Marital Status on Depression and Mortality among Patients with Chronic Kidney Disease from National Health and Nutrition Examination Survey 2005–2014

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