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Mashup Score: 0
Background Grey divorce and later remarriage have become increasingly common in high-income countries, but previous evidence on their impacts on mental health is scarce. Even less is known about the effects of non-marital separation and re-partnering in later life. Methods Using Finnish registry data from 1996 to 2018 on 228 644 individuals aged 50–70 in 2000–2014, trajectories of antidepressant (AD) use 4 years before and 4 years after divorce, non-marital separation, bereavement and subsequent re-partnering were examined using individual fixed-effects (FE) linear probability models. Results In adjusted FE models, for both genders AD use increased during the 4 years before divorce (men: 5.00 percentage points (95% CI 4.50 to 5.50); women: 6.96 (95% CI 6.34 to 7.59)), non-marital separation (men: 3.20 (95% CI 2.72 to 3.69); women: 5.98 (95% CI 5.30 to 6.66)) and bereavement (men: 4.53 (95% CI 3.97 to 5.09); women: 5.64 (95% CI 5.25 to 6.04)), with the increase accelerating immediately
Source: jech.bmj.comCategories: General Medicine News, General HCPsTweet
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Mashup Score: 5Long-term excess mortality associated with diabetes following acute myocardial infarction: a population-based cohort study - 3 month(s) ago
Background The long-term excess risk of death associated with diabetes following acute myocardial infarction is unknown. We determined the excess risk of death associated with diabetes among patients with ST-elevation myocardial infarction (STEMI) and non-STEMI (NSTEMI) after adjustment for comorbidity, risk factors and cardiovascular treatments. Methods Nationwide population-based cohort (STEMI n=281 259 and NSTEMI n=422 661) using data from the UK acute myocardial infarction registry, MINAP, between 1 January 2003 and 30 June 2013. Age, sex, calendar year and country-specific mortality rates for the populace of England and Wales (n=56.9 million) were matched to cases of STEMI and NSTEMI. Flexible parametric survival models were used to calculate excess mortality rate ratios (EMRR) after multivariable adjustment. This study is registered at ClinicalTrials.gov ([NCT02591576][1]). Results Over 1.94 million person-years follow-up including 120 568 (17.1%) patients with diabetes, there we
Source: jech.bmj.comCategories: General Medicine News, CardiologistsTweet-
Long-term excess mortality associated with #diabetes following #heartattack : population-based cohort study @JECH_BMJ https://t.co/eKBem3CTNM
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Mashup Score: 5Long-term excess mortality associated with diabetes following acute myocardial infarction: a population-based cohort study - 3 month(s) ago
Background The long-term excess risk of death associated with diabetes following acute myocardial infarction is unknown. We determined the excess risk of death associated with diabetes among patients with ST-elevation myocardial infarction (STEMI) and non-STEMI (NSTEMI) after adjustment for comorbidity, risk factors and cardiovascular treatments. Methods Nationwide population-based cohort (STEMI n=281 259 and NSTEMI n=422 661) using data from the UK acute myocardial infarction registry, MINAP, between 1 January 2003 and 30 June 2013. Age, sex, calendar year and country-specific mortality rates for the populace of England and Wales (n=56.9 million) were matched to cases of STEMI and NSTEMI. Flexible parametric survival models were used to calculate excess mortality rate ratios (EMRR) after multivariable adjustment. This study is registered at ClinicalTrials.gov ([NCT02591576][1]). Results Over 1.94 million person-years follow-up including 120 568 (17.1%) patients with diabetes, there we
Source: jech.bmj.comCategories: General Medicine News, CardiologistsTweet-
Long-term excess mortality associated with #diabetes following #heartattack : population-based cohort study @JECH_BMJ https://t.co/eKBem3CTNM
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Mashup Score: 10How infodemic intoxicates public health surveillance: from a big to a slow data culture - 4 month(s) ago
Too much data? Too much information? The COVID-19 pandemic has made the case. The WHO coined the term ‘infodemic’ to describe the issue of overabundance of information, including misinformation, disseminated in real time via multiple channels.1 2 A related concept is ‘datademic’ to describe the overabundance of data. I argue in this essay that infodemic intoxicates public health surveillance and decision-making, and that we need to revisit how we conduct surveillance in the age of big data by fostering a slow data culture. Surveillance is the ongoing systematic collection, analysis and interpretation of data, closely integrated with the timely dissemination of the resulting information to those responsible for preventing and controlling disease and injury.3 Traditionally, it requires high-quality data which are collected for this purpose along well-defined methods. In the era of infodemic and big data, the access to different types of data has increased tremendously, offering new oppor
Source: jech.bmj.comCategories: General Medicine News, Hem/OncsTweet-
How infodemic intoxicates public health surveillance: from a big to a slow data culture https://t.co/9Dnf8Lj71a via @swissepi https://t.co/R4jadjxmZw
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Mashup Score: 10How infodemic intoxicates public health surveillance: from a big to a slow data culture - 4 month(s) ago
Too much data? Too much information? The COVID-19 pandemic has made the case. The WHO coined the term ‘infodemic’ to describe the issue of overabundance of information, including misinformation, disseminated in real time via multiple channels.1 2 A related concept is ‘datademic’ to describe the overabundance of data. I argue in this essay that infodemic intoxicates public health surveillance and decision-making, and that we need to revisit how we conduct surveillance in the age of big data by fostering a slow data culture. Surveillance is the ongoing systematic collection, analysis and interpretation of data, closely integrated with the timely dissemination of the resulting information to those responsible for preventing and controlling disease and injury.3 Traditionally, it requires high-quality data which are collected for this purpose along well-defined methods. In the era of infodemic and big data, the access to different types of data has increased tremendously, offering new oppor
Source: jech.bmj.comCategories: General Medicine News, Hem/OncsTweet-
How infodemic intoxicates public health surveillance: from a big to a slow data culture https://t.co/9Dnf8Lj71a via @swissepi https://t.co/R4jadjxmZw
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Mashup Score: 4Long-term excess mortality associated with diabetes following acute myocardial infarction: a population-based cohort study - 5 month(s) ago
Background The long-term excess risk of death associated with diabetes following acute myocardial infarction is unknown. We determined the excess risk of death associated with diabetes among patients with ST-elevation myocardial infarction (STEMI) and non-STEMI (NSTEMI) after adjustment for comorbidity, risk factors and cardiovascular treatments. Methods Nationwide population-based cohort (STEMI n=281 259 and NSTEMI n=422 661) using data from the UK acute myocardial infarction registry, MINAP, between 1 January 2003 and 30 June 2013. Age, sex, calendar year and country-specific mortality rates for the populace of England and Wales (n=56.9 million) were matched to cases of STEMI and NSTEMI. Flexible parametric survival models were used to calculate excess mortality rate ratios (EMRR) after multivariable adjustment. This study is registered at ClinicalTrials.gov ([NCT02591576][1]). Results Over 1.94 million person-years follow-up including 120 568 (17.1%) patients with diabetes, there we
Source: jech.bmj.comCategories: General Medicine News, CardiologistsTweet-
Long-term excess mortality associated with #diabetes following #heartattack : population-based cohort study @JECH_BMJ https://t.co/eKBem3CTNM
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Mashup Score: 7Childhood adversity and COVID-19 outcomes in the UK Biobank - 6 month(s) ago
Objectives This study aims to investigate the association between childhood adversity and COVID-19-related hospitalisation and COVID-19-related mortality in the UK Biobank. Design Cohort study. Setting UK. Participants 151 200 participants in the UK Biobank cohort who had completed the Childhood Trauma Screen were alive at the start of the COVID-19 pandemic (January 2020) and were still active in the UK Biobank when hospitalisation and mortality data were most recently updated (November 2021). Main outcome measures COVID-19-related hospitalisation and COVID-19-related mortality. Results Higher self-reports of childhood adversity were related to greater likelihood of COVID-19-related hospitalisation in all statistical models. In models adjusted for age, ethnicity and sex, childhood adversity was associated with an odds ratio (OR) of 1.227 of hospitalisation (95% CI 1.153 to 1.306, childhood adversity z =6.49, p<0.005) and an OR of 1.25 of a COVID-19-related death (95% CI 1.11 to 1.424,
Source: jech.bmj.comCategories: General Medicine News, NeurologyTweet-
“Childhood adversity and COVID-19 outcomes in the UK Biobank” by Jamie L. Hanson et al. Journal of Epidemiology & Community Health https://t.co/IOW5GTUEMt 2/2
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Mashup Score: 7Childhood adversity and COVID-19 outcomes in the UK Biobank - 6 month(s) ago
Objectives This study aims to investigate the association between childhood adversity and COVID-19-related hospitalisation and COVID-19-related mortality in the UK Biobank. Design Cohort study. Setting UK. Participants 151 200 participants in the UK Biobank cohort who had completed the Childhood Trauma Screen were alive at the start of the COVID-19 pandemic (January 2020) and were still active in the UK Biobank when hospitalisation and mortality data were most recently updated (November 2021). Main outcome measures COVID-19-related hospitalisation and COVID-19-related mortality. Results Higher self-reports of childhood adversity were related to greater likelihood of COVID-19-related hospitalisation in all statistical models. In models adjusted for age, ethnicity and sex, childhood adversity was associated with an odds ratio (OR) of 1.227 of hospitalisation (95% CI 1.153 to 1.306, childhood adversity z =6.49, p<0.005) and an OR of 1.25 of a COVID-19-related death (95% CI 1.11 to 1.424,
Source: jech.bmj.comCategories: General Medicine News, NeurologyTweet-
“Childhood adversity and COVID-19 outcomes in the UK Biobank” by Jamie L. Hanson et al. Journal of Epidemiology & Community Health https://t.co/IOW5GTUEMt 2/2
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Mashup Score: 1Are housing circumstances associated with faster epigenetic ageing? - 7 month(s) ago
Background Numerous aspects of housing are associated with health. However, the pathways between housing and health, particularly the psychosocial elements of housing, are less well understood. Epigenetic information alongside social survey data offers an opportunity to explore biological ageing, measured using DNA methylation, as a potential pathway through which housing affects health. Methods We use data on housing and DNA methylation from the UK Household Longitudinal Study, linked with prior survey responses from the British Household Panel Survey, covering adults in Great Britain. We explore the association between epigenetic ageing and housing circumstances, both contemporary and historical, using hierarchical regression. Results We find that living in a privately rented home is related to faster biological ageing. Importantly, the impact of private renting (coefficient (SE) 0.046 years (0.011) vs owned outright, p<0.001) is greater than the impact of experiencing unemployment (
Source: jech.bmj.comCategories: General Medicine Journals and Societies, Latest HeadlinesTweet-
Recent study in @JECH_BMJ suggests that renting private sector homes can accelerate 'biological ageing' surpassing the impact of unemployment 🏡 #HealthImpact #HousingPolicy #AgeingResearch Read more on the role of housing policy in creating better health https://t.co/8rbezlMDLc https://t.co/bPRBM8IwSF
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Mashup Score: 5Are housing circumstances associated with faster epigenetic ageing? - 7 month(s) ago
Background Numerous aspects of housing are associated with health. However, the pathways between housing and health, particularly the psychosocial elements of housing, are less well understood. Epigenetic information alongside social survey data offers an opportunity to explore biological ageing, measured using DNA methylation, as a potential pathway through which housing affects health. Methods We use data on housing and DNA methylation from the UK Household Longitudinal Study, linked with prior survey responses from the British Household Panel Survey, covering adults in Great Britain. We explore the association between epigenetic ageing and housing circumstances, both contemporary and historical, using hierarchical regression. Results We find that living in a privately rented home is related to faster biological ageing. Importantly, the impact of private renting (coefficient (SE) 0.046 years (0.011) vs owned outright, p<0.001) is greater than the impact of experiencing unemployment (
Source: jech.bmj.comCategories: General Medicine News, Latest HeadlinesTweet-
Renting rather than owning a #privateSector home linked to faster 'biological aging' https://t.co/0h5Zwu7xle https://t.co/VD9c0aqOw8
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New research in @JECH_BMJ reveals that women may face greater emotional challenges in later life divorce or break-ups compared to men. This is reflected in higher antidepressant use which is sustained even after re-partnering. #Relationships #MentalHealth https://t.co/zp8AxDqguK https://t.co/iTyt5tAlKa