Consanguineous marriage and the mental health of progeny: a population-wide data-linkage study

Exercise referral schemes have shown small but positive impacts in randomized controlled trials (RCTs). Less is known about the long-term reach of scaled up schemes following a RCT. A RCT of the National Exercise Referral Scheme (NERS) in Wales was completed in 2010, and the scheme scaled up across Wales. In this study, using a retrospective data linkage design, anonymized NERS data were linked to routine health records for referrals between 2008 and 2017. Rates of referral and uptake were modelled across years and a multilevel logistic regression model examined predictors of uptake. In total, 83,598 patients have been referred to the scheme and 67.31% of eligible patients took up NERS. Older adults and referrals for a musculoskeletal or level four condition were more likely to take up NERS. Males, mental health referrals, non-GP referrals and those in the most deprived groupings were less likely to take up NERS. Trends revealed an overall decrease over time in referrals and uptake rates among the most deprived grouping relative to those in the least deprived group. Findings indicate a widening of inequality in referral and uptake following positive RCT findings, both in terms of patient socioeconomic status and referrals for mental health.

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Sources of Bias When Combining Routine Data Linkage and A National Survey of Secondary School-Aged Children: A Record Linkage Study

International Journal for Population Data Science ◽

10.23889/ijpds.v5i5.1611 ◽

2020 ◽

Vol 5 (5) ◽

Author(s):

Kelly Morgan ◽

Nicholas Page ◽

Rachel Brown ◽

Sara Long ◽

Gillian Hewitt ◽

...

Keyword(s):

Mental Health ◽

General Population ◽

National Survey ◽

Data Linkage ◽

Routine Data ◽

Linkage Study ◽

Mental Wellbeing ◽

Parental Consent ◽

Mental Health Diagnoses ◽

The Impact

IntroductionLittle is known of the potential impacts of introducing data linkage processes on response rates and biases in school-based surveys. Objectives and ApproachThis paper assessed: i) the impact on parental consent rates for student participation in a school survey; ii) sample representativeness; and iii) the quality of identifiable data provided to facilitate linkage. An option for data linkage was piloted in a sub-sample of schools participating in the Student Health and Wellbeing survey, a national survey of adolescents in Wales, UK. Schools agreeing to participate were randomized 2:1 to receive the data linkage question. Survey responses from consenting students were anonymised and linked to routine datasets (e.g. general practice, inpatient, and outpatient records). Parental withdrawal rates were calculated for linkage and non-linkage samples. Multilevel logistic regression models compared characteristics between: i) consenters and non-consenters; ii) successfully and unsuccessfully linked students; and iii) linked cohort and peers within the general population, with additional comparisons of mental health diagnoses and health service contacts. ResultsThe sub-sample comprised 64 eligible schools (out of 193), with data linkage piloted in 39. Parental consent was comparable across linkage and non-linkageschools. 48.7% (n=9,232) of students consented to data linkage. Consenting students were more likely to be younger, more affluent, have higher positive mental wellbeing, and report fewer risk-related behaviours compared to non-consenters. Overall, 69.8% of consenting students were successfully linked, with higher rates of success among younger students. The linked cohort had lower rates of mental health diagnoses (5.8% vs. 8.8%) and specialist contacts (5.2% vs. 7.7%) than general population peers. ConclusionIntroducing data linkage within a national survey of adolescents had no impact on study completion rates. Students consenting to data linkage, and those successfully linked, differed from non-consenting students on numerous key characteristics, raising questions concerning the representativeness of linked cohorts.

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Parental mental health and risk of poor mental health and death by suicide in offspring: a population-wide data-linkage study

International Journal for Population Data Science ◽

10.23889/ijpds.v3i4.743 ◽

2018 ◽

Vol 3 (4) ◽

Author(s):

Dermot O'Reilly ◽

Aideen Maguire

Keyword(s):

Mental Health ◽

At Risk ◽

Health Status ◽

Data Linkage ◽

Linkage Study ◽

Poor Mental Health ◽

Mental Health Status ◽

Health Concern ◽

Risk Of Death ◽

Increased Risk

IntroductionSuicide is a major public health concern and identifying those most at risk is vital to ensure the implementation of effective interventions. There are known associations between parental and sibling mental health but little is known on the effect of parental mental on a child’s risk of death by suicide. Objectives and ApproachThis population-wide data linkage study utilised data from the 2011 Northern Ireland Census linked to 5 years’ death records (2011-2015) to construct multi-level regression models to determine if children living with parents with poor self-rated mental health are at an increased risk of poor mental health themselves and whether they are at an increased risk of death by suicide. ResultsOf the 618,970 individuals who live with their parents, 13.7% live with parents with poor mental health, 11.6% have poor mental health themselves and 0.1% (n=225) died by suicide. Living with a parent with poor mental health was associated with likelihood of poor mental health in children. After adjustment for age, gender, physical illness, socio-economic status and own mental health status, children with 1 parent with poor mental health were 67% more likely to die by suicide compared to children of parents with good mental health (OR=1.67, 95%CI 1.19, 2.33). The effect size increases for children living with 2 parents with poor mental health. Conclusion/ImplicationsParental mental health is associated with a child’s suicide risk even after adjustment for their own mental health status. This is an at-risk group.

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