2014
DOI: 10.1016/j.healthplace.2013.12.010
|View full text |Cite
|
Sign up to set email alerts
|

Are health inequalities between differently deprived areas evident at different ages? A longitudinal study of census records in England and Wales, 1991–2001

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

5
57
1

Year Published

2015
2015
2020
2020

Publication Types

Select...
9
1

Relationship

2
8

Authors

Journals

citations
Cited by 61 publications
(63 citation statements)
references
References 35 publications
5
57
1
Order By: Relevance
“…In the context of a universal healthcare provider, the National Health Service, persistent deprivation plays an important role in premature mortality in England,44 45 but it does not fully explain the persistently higher levels of all-cause mortality in the North,46 which has recently increased at an alarming rate for those aged 25–44 47. Although health selective migration is likely to be a factor,48 and it is likely to influence inequalities by age,49 we found that levels of health-related deprivation were consistently higher in the North, in premature mortality and illness and disability, acute morbidity (hospital admissions), and mood and anxiety disorders.…”
Section: Discussionmentioning
confidence: 99%
“…In the context of a universal healthcare provider, the National Health Service, persistent deprivation plays an important role in premature mortality in England,44 45 but it does not fully explain the persistently higher levels of all-cause mortality in the North,46 which has recently increased at an alarming rate for those aged 25–44 47. Although health selective migration is likely to be a factor,48 and it is likely to influence inequalities by age,49 we found that levels of health-related deprivation were consistently higher in the North, in premature mortality and illness and disability, acute morbidity (hospital admissions), and mood and anxiety disorders.…”
Section: Discussionmentioning
confidence: 99%
“…Cross-sectional data makes it difficult to prove causality, but the selection bias towards healthy migrants provides support for the interpretation that the social factors examined affected health rather than the other way around; that is to say, it is unlikely that marriage migrants’ health affects the relative social standing of marital families in Korea, but is more logical that higher social standing of Korean marital families affects marriage migrants’ health. As mentioned in Norman and others’ work (Riva, Curtis, and Norman 2011, Norman, Boyle, and Rees 2005, Norman and Boyle 2014), we could not exclude health selection effects among marriage migrants and the survey does not cover their pre-migration health status. However, considering that this article compares marriage migrants of different ethnicity and countries of origin, but not marriage migrants with non-marriage migrants, such effects may only have a slight impact on our research findings.…”
Section: Discussionmentioning
confidence: 99%
“…Such analysis could also include measures of health differences like morbidity or social deprivation (eg, 40). The detailed analysis of mortality and health differences between cohabiting and married individuals is another important avenue to proceed.…”
Section: Summary and Discussionmentioning
confidence: 99%