scholarly journals The impact of high-risk medications on mortality risk among older adults with polypharmacy: evidence from the English Longitudinal Study of Ageing

BMC Medicine ◽  
2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Yun-Ting Huang ◽  
Andrew Steptoe ◽  
Li Wei ◽  
Paola Zaninotto

Abstract Background Polypharmacy is common among older people and is associated with an increased mortality risk. However, little is known about whether the mortality risk is related to specific medications among older adults with polypharmacy. This study therefore aimed to investigate associations between high-risk medications and all-cause and cause-specific mortality among older adults with polypharmacy. Methods This study included 1356 older adults with polypharmacy (5+ long-term medications a day for conditions or symptoms) from Wave 6 (2012/2013) of the English Longitudinal Study of Ageing. First, using the agglomerative hierarchical clustering method, participants were grouped according to the use of 14 high-risk medication categories. Next, the relationship between the high-risk medication patterns and all-cause and cause-specific mortality (followed up to April 2018) was examined. All-cause mortality was assessed by Cox proportional hazards model and competing-risk regression was employed for cause-specific mortality. Results Five high-risk medication patterns—a renin-angiotensin-aldosterone system (RAAS) inhibitors cluster, a mental health drugs cluster, a central nervous system (CNS) drugs cluster, a RAAS inhibitors and antithrombotics cluster, and an antithrombotics cluster—were identified. The mental health drugs cluster showed increased risks of all-cause (HR = 1.55, 95%CI = 1.05, 2.28) and cardiovascular disease (CVD) (SHR = 2.11, 95%CI = 1.10, 4.05) mortality compared with the CNS drug cluster over 6 years, while others showed no differences in mortality. Among these patterns, the mental health drugs cluster showed the highest prevalence of antidepressants (64.1%), benzodiazepines (10.4%), antipsychotics (2.4%), antimanic agents (0.7%), opioids (33.2%), and muscle relaxants (21.5%). The findings suggested that older adults with polypharmacy who took mental health drugs (primarily antidepressants), opioids, and muscle relaxants were at higher risk of all-cause and CVD mortality, compared with those who did not take these types of medications. Conclusions This study supports the inclusion of opioids in the current guidance on structured medication reviews, but it also suggests that older adults with polypharmacy who take psychotropic medications and muscle relaxants are prone to adverse outcomes and therefore may need more attention. The reinforcement of structured medication reviews would contribute to early intervention in medication use which may consequently reduce medication-related problems and bring clinical benefits to older adults with polypharmacy.

Author(s):  
Rebecca Bendayan ◽  
Yajing Zhu ◽  
A D Federman ◽  
R J B Dobson

Abstract Background We aimed to examine the multimorbidity patterns within a representative sample of UK older adults and their association with concurrent and subsequent memory. Methods Our sample consisted of 11,449 respondents (mean age at baseline was 65.02) from the English Longitudinal Study of Ageing (ELSA). We used fourteen health conditions and immediate and delayed recall scores (IMRC and DLRC) over 7 waves (14 years of follow up). Latent class analyses were performed to identify the multimorbidity patterns and linear mixed models were estimated to explore their association with their memory trajectories. Models were adjusted by socio-demographics, BMI and health behaviors. Results Results showed 8 classes: Class 1:Heart Disease/Stroke (26%), Class 2:Asthma/Lung Disease (16%), Class 3:Arthritis/Hypertension (13%), Class 4:Depression/Arthritis (12%), Class 5:Hypertension/Cataracts/Diabetes (10%), Class 6:Psychiatric Problems/Depression (10%), Class 7:Cancer (7%) and Class 8:Arthritis/Cataracts (6%). At baseline, Class 4 was found to have lower IMRC and DLRC scores and Class 5 in DLRC, compared to the no multimorbidity group (n=6380, 55.72% of total cohort). For both tasks, in unadjusted models, we found an accelerated decline in Classes 1, 3 and 8; and, for DLRC, also in Classes 2 and 5. However, it was fully attenuated after adjustments. Conclusions These findings suggest that individuals with certain combinations of health conditions are more likely to have lower levels of memory compared those with no multimorbidity and their memory scores tend to differ between combinations. Socio-demographics and health behaviours have a key role to understand who is more likely to be at risk of an accelerated decline.


2017 ◽  
Vol 27 (6) ◽  
pp. 1068-1073 ◽  
Author(s):  
Dan Lewer ◽  
Martin McKee ◽  
Antonio Gasparrini ◽  
Aaron Reeves ◽  
Cesar de Oliveira

2018 ◽  
Vol 31 (10) ◽  
pp. 1491-1498 ◽  
Author(s):  
T. O. Smith ◽  
S. R. Neal ◽  
G. Peryer ◽  
K. J. Sheehan ◽  
M. P. Tan ◽  
...  

ABSTRACTObjectives:To determine the relationship between falls and deficits in specific cognitive domains in older adults.Design:An analysis of the English Longitudinal Study of Ageing (ELSA) cohort.Setting:United Kingdom community-based.Participants:5197 community-dwelling older adults recruited to a prospective longitudinal cohort study.Measurements:Data on the occurrence of falls and number of falls, which occurred during a 12-month follow-up period, were assessed against the specific cognitive domains of memory, numeracy skills, and executive function. Binomial logistic regression was performed to evaluate the association between each cognitive domain and the dichotomous outcome of falls in the preceding 12 months using unadjusted and adjusted models.Results:Of the 5197 participants included in the analysis, 1308 (25%) reported a fall in the preceding 12 months. There was no significant association between the occurrence of a fall and specific forms of cognitive dysfunction after adjusting for self-reported hearing, self-reported eyesight, and functional performance. After adjustment, only orientation (odds ratio [OR]: 0.80; 95% confidence intervals [CI]: 0.65–0.98, p = 0.03) and verbal fluency (adjusted OR: 0.98; 95% CI: 0.96–1.00; p = 0.05) remained significant for predicting recurrent falls.Conclusions:The cognitive phenotype rather than cognitive impairmentper semay predict future falls in those presenting with more than one fall.


2021 ◽  
Vol 79 (1) ◽  
Author(s):  
Jian Sun ◽  
Hongye Luo ◽  
Chaofan Li ◽  
Qianqiang Wang

Abstract Background It is unclear that whether childhood neighborhood relationship is associated with mental health among middle-aged and older adults. To overcome this research gap, this study aimed to investigate the association between childhood neighborhood relationship and mental health among the middle-aged and older adults in China. Methods The data of this study was sourced from the 2014 and 2015 waves of China Health and Retirement Longitudinal Study. We used ordinary least squares and logit regression models to explore the association between childhood neighborhood relationship and mental health among the middle-aged and older adults in China. Results The regression results indicate that the middle-aged and older adults who lived in place where neighbors had close-knit relationships at childhood was significantly associated with decreased odds of suffering from depressive symptoms (OR = 0.4259, p < 0.001). Furthermore, compared to the middle-aged and older adults who lived in place where neighbors were not close-knit at childhood, those who lived in place where neighbors were close-knit at childhood had a reduced CES–D score (coefficient = − 2.7822, p < 0.001). Conclusion This study demonstrates the importance of living in place where neighbors had close-knit relationships at childhood. The integrated interventions, including maintaining close-knit neighborhood relationships and strengthening the construction of community, may be useful to improve mental health.


2019 ◽  
Vol 50 (11) ◽  
pp. 1820-1828 ◽  
Author(s):  
Lydia Poole ◽  
Ruth A. Hackett ◽  
Laura Panagi ◽  
Andrew Steptoe

AbstractBackgroundPrevious research has shown an association between subjective wellbeing and incident diabetes. Less is known about the role of wellbeing for subclinical disease trajectories as captured via glycated hemoglobin (HbA1c). We aimed to explore the association between subjective wellbeing and future HbA1c levels, and the role of sociodemographic, behavioral and clinical factors in this association.MethodsWe used data from the English Longitudinal Study of Ageing for this study (N = 2161). Subjective wellbeing (CASP-19) was measured at wave 2 and HbA1c was measured 8 years later at wave 6. Participants were free from diabetes at baseline. We conducted a series of analyses to examine the extent to which the association was accounted for by a range of sociodemographic, behavioral and clinical factors in linear regression models.ResultsModels showed that subjective wellbeing (CASP-19 total score) was inversely associated with HbA1c 8 years later after controlling for depressive symptoms, age, sex, and baseline HbA1c (B = −0.035, 95% CI −0.060 to –0.011, p = 0.005). Inclusion of sociodemographic variables and behavioral factors in models accounted for a large proportion (17.0% and 24.5%, respectively) of the relationship between wellbeing and later HbA1c; clinical risk factors explained a smaller proportion of the relationship (3.4%).ConclusionsPoorer subjective wellbeing is associated with greater HbA1c over 8 years of follow-up and this relationship can in part be explained by sociodemographic, behavioral and clinical factors among older adults.


2019 ◽  
Vol 10 (3) ◽  
pp. 395-401 ◽  
Author(s):  
R. M. Dodds ◽  
E. Pakpahan ◽  
A. Granic ◽  
K. Davies ◽  
Avan A. Sayer

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
P. Zaninotto ◽  
Y. T. Huang ◽  
G. Di Gessa ◽  
J. Abell ◽  
C. Lassale ◽  
...  

Abstract Background Falls amongst older people are common; however, around 40% of falls could be preventable. Medications are known to increase the risk of falls in older adults. The debate about reducing the number of prescribed medications remains controversial, and more evidence is needed to understand the relationship between polypharmacy and fall-related hospital admissions. We examined the effect of polypharmacy on hospitalization due to a fall, using a large nationally representative sample of older adults. Methods Data from the English Longitudinal Study of Ageing (ELSA) were used. We included 6220 participants aged 50+ with valid data collected between 2012 and 2018.The main outcome measure was hospital admission due to a fall. Polypharmacy -the number of long-term prescription drugs- was the main exposure coded as: no medications, 1–4 medications, 5–9 medications (polypharmacy) and 10+ medications (heightened polypharmacy). Competing-risk regression analysis was used (with death as a potential competing risk), adjusted for common confounders, including multi-morbidity and fall risk-increasing drugs. Results The prevalence of people admitted to hospital due to a fall increased according to the number of medications taken, from 1.5% of falls for people reporting no medications, to 4.7% of falls among those taking 1–4 medications, 7.9% of falls among those with polypharmacy and 14.8% among those reporting heightened polypharmacy. Fully adjusted SHRs for hospitalization due to a fall among people who reported taking 1–4 medications, polypharmacy and heightened polypharmacy were 1.79 (1.18; 2.71), 1.75 (1.04; 2.95), and 3.19 (1.61; 6.32) respectively, compared with people who were not taking medications. Conclusions The risk of hospitalization due to a fall increased with polypharmacy. It is suggested that prescriptions in older people should be revised on a regular basis, and that the number of medications prescribed be kept to a minimum, in order to reduce the risk of fall-related hospital admissions.


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