scholarly journals Minimum income for healthy living and frailty in adults over 65 years old in the English Longitudinal Study of Ageing: a population-based cohort study

BMJ Open ◽  
2019 ◽  
Vol 9 (2) ◽  
pp. e025334 ◽  
Author(s):  
Paul Nicholas Watts ◽  
David Blane ◽  
Gopalakrishnan Netuveli

ObjectiveTo test whether minimum income for healthy living of a person aged 65 years or older (MIHL65) is associated with frailty in older adults.Design and settingSecondary analysis of the English Longitudinal Study of Ageing, a multiwave prospective cohort study in England, UK.ParticipantsA subset (n=1342) of English Longitudinal Study of Ageing participants, who at wave 1 in 2002 were aged 65 years or older, without any limiting long-standing illnesses, and who had the information required to calculate MIHL65in 2002, 2004 and 2006 and two measures of frailty in 2008.Main outcome measuresFrailty defined using Fried’s phenotype criteria and Rockwood’s Index of deficits.ResultsThe odds of frailty in 2008 were significantly higher for participants living below MIHL65in 2002, both on Fried’s phenotype criteria (OR 2.56, 95% CI 1.57 to 4.19) and Rockwood’s Index (OR 2.83, 95% CI 1.74 to 4.60). These associations remained after adjustment for age and gender for both Fried’s phenotype (OR 1.85, 95% CI 1.18 to 2.90) and Rockwood’s Index (OR 2.15, 95% CI 1.38 to 3.35). Compared with those whose income during 2002–2006 was always above MIHL65, the odds of frailty in 2008 for those below MIHL65were two-to-three times higher, with a tendency for the ORs to increase in line with the length of time spent below MIHL65(ORs (95% CIs) were: Fried’s phenotype, below MIHL65once: 2.02 (1.23 to 3.34); twice: 2.52 (1.37 to 4.62); thrice: 3.53 (1.65 to 7.55). Rockwood’s Index: once: 2.34 (1.41 to 3.86); twice: 3.06 (1.64 to 5.71); thrice: 2.56 (1.22 to 5.34)). These associations remained after adjustment for age and gender on Rockwood’s Index, but not Fried’s phenotype.ConclusionsThese results provide some support for the idea that frailty at older ages is associated with not having sufficient income to lead a healthy life.

2015 ◽  
Vol 232 (18) ◽  
pp. 3385-3390 ◽  
Author(s):  
Amir Krivoy ◽  
Ran D. Balicer ◽  
Becca Feldman ◽  
Moshe Hoshen ◽  
Gil Zalsman ◽  
...  

2015 ◽  
Vol 24 (6) ◽  
pp. 1414-1422 ◽  
Author(s):  
Wen-Hsuan Hou ◽  
Cheng-Hua Ni ◽  
Chung-Yi Li ◽  
Pei-Shan Tsai ◽  
Li-Fong Lin ◽  
...  

BMJ Open ◽  
2019 ◽  
Vol 9 (9) ◽  
pp. e031030 ◽  
Author(s):  
Dialechti Tsimpida ◽  
Evangelos Kontopantelis ◽  
Darren Ashcroft ◽  
Maria Panagioti

ObjectivesAims were (1) to examine whether socioeconomic position (SEP) is associated with hearing loss (HL) among older adults in England and (2) whether major modifiable lifestyle factors (high body mass index, physical inactivity, tobacco consumption and alcohol intake above the low-risk-level guidelines) are associated with HL after controlling for non-modifiable demographic factors and SEP.SettingWe used data from the wave 7 of the English Longitudinal Study of Ageing, which is a longitudinal household survey dataset of a representative sample of people aged 50 and older.ParticipantsThe final analytical sample was 8529 participants aged 50–89 that gave consent to have their hearing acuity objectively measured by a screening audiometry device and did not have any ear infection.Primary and secondary outcome measuresHL defined as >35 dBHL at 3.0 kHz (better-hearing ear). Those with HL were further subdivided into two categories depending on the number of tones heard at 3.0 kHz.ResultsHL was identified in 32.1% of men and 22.3% of women aged 50–89. Those in a lower SEP were up to two times more likely to have HL; the adjusted odds of HL were higher for those with no qualifications versus those with a degree/higher education (men: OR 1.87, 95%CI 1.47 to 2.38, women: OR 1.53, 95%CI 1.21 to 1.95), those in routine/manual occupations versus those in managerial/professional occupations (men: OR 1.92, 95%CI 1.43 to 2.63, women: OR 1.25, 95%CI 1.03 to 1.54), and those in the lowest versus the highest income and wealth quintiles (men: OR 1.62, 95%CI 1.08 to 2.44, women: OR 1.36, 95%CI 0.85 to 2.16, and men: OR1.72, 95%CI 1.26 to 2.35, women: OR 1.88, 95%CI 1.37 to 2.58, respectively). All regression models showed that socioeconomic and the modifiable lifestyle factors were strongly associated with HL after controlling for age and gender.ConclusionsSocioeconomic and lifestyle factors are associated with HL among older adults as strongly as core demographic risk factors, such as age and gender. Socioeconomic inequalities and modifiable lifestyle behaviours need to be targeted by the health policy strategies, as an important step in designing interventions for individuals that face hearing health inequalities.


Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 1603-P
Author(s):  
GYORGY JERMENDY ◽  
ZOLTAN KISS ◽  
GYÖRGY ROKSZIN ◽  
IBOLYA FÁBIÁN ◽  
ISTVAN WITTMANN ◽  
...  

2019 ◽  
Vol 11 (5) ◽  
pp. 2034-2042 ◽  
Author(s):  
Hongcheng Tian ◽  
◽  
Jianfang Zhou ◽  
Li Weng ◽  
Xiaoyun Hu ◽  
...  

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
C Xia ◽  
M Rook ◽  
G J Pelgrim ◽  
J N Van Bolhuis ◽  
P M A Van Ooijen ◽  
...  

Abstract Background Coronary artery calcium (CAC) scoring is a promising tool for cardiovascular risk classification. Population-based reference values are important for the clinical interpretation of CAC scores. Purpose To establish standards of CAC distributions by age and gender in an unselected Dutch population, which can be used to determine reference values. Methods ImaLife (Imaging in Lifelines) is a computed tomography (CT) based substudy of the Lifelines cohort, with a primary aim to establish reference values of imaging biomarkers for early stages of coronary artery disease in adults (above 45 years old). In total, 12,000 participants will be enrolled from an unselected adult population in the northern Netherlands for CAC scoring with third generation dual-source CT. CAC is quantified with dedicated commercial software using the Agatston method. Results Included so far were 3,702 participants (57.5% females, mean age 54 years, range 45–82 years). CAC was present in 39.2% of participants, with a higher prevalence of CAC in men (55.3%) than in women (27.3%). CAC scores increased with increasing age in both genders. The percentiles of CAC scores by age and gender groups are summarized in the table. Agatston CAC score percentiles by age and gender Percentiles Women – Age, years Men – Age, years 45–49 50–54 55–59 60–64 65∼ 45–49 50–54 55–59 60–64 65∼ N 505 634 719 260 10 355 473 543 185 18 25th 0 0 0 0 0 0 0 0 1 75 50th 0 0 0 0 4 0 1 6 22 556 75th 0 0 6 33 386 6 21 72 129 751 90th 4 26 77 120 1037 49 154 242 500 1803 Conclusion This preliminary result presents CAC distribution by age and gender in a middle-aged unselected Dutch population. Compared with the Heinz Nixdorf Recall study, CAC scores in our cohort for both genders were lower in the 5-year age groups between 45 and 64 years. Based on the overall data, expected within 2 years, reference values of CAC for the Dutch population can be established.


Rheumatology ◽  
2020 ◽  
Vol 59 (10) ◽  
pp. 2785-2795 ◽  
Author(s):  
Tom Thomas ◽  
Joht Singh Chandan ◽  
Anuradhaa Subramanian ◽  
Krishna Gokhale ◽  
George Gkoutos ◽  
...  

Abstract Objectives The epidemiology of Behçet’s disease (BD) has not been well characterized in the UK. Evidence on the risk of cardiovascular disease, thromboembolic disease and mortality in patients with BD compared with the general population is scarce. Methods We used a large UK primary care database to investigate the epidemiology of BD. A retrospective matched cohort study was used to assess the following outcomes: risk of cardiovascular, thromboembolic disease and mortality. Controls were selected at a 1:4 ratio (age and gender matched). Cox proportional hazard models were used to derive adjusted hazard ratios (aHR). Results The prevalence of BD was 14.61 (95% CI 13.35–15.88) per 100 000 population in 2017. A total of 1281 patients with BD were compared with 5124 age- and gender-matched controls. There was significantly increased risk of ischaemic heart disease [aHR 3.09 (1.28–7.44)], venous thrombosis [aHR 4.80 (2.42–9.54)] and mortality [aHR 1.40 (1.07–1.84)] in patients with BD compared with corresponding controls. Patients with BD were at higher risk of pulmonary embolism compared with corresponding controls at baseline [adjusted odds ratio 4.64 (2.66–8.09), P < 0.0001]. The majority of patients with pulmonary embolism and a diagnosis of BD had pulmonary embolism preceding the diagnosis of BD, not after (87.5%; n = 28/32). Conclusion BD has a higher prevalence than previously thought. Physicians should be aware of the increased risk of developing ischaemic heart disease, stroke/transient ischaemic attack and deep venous thrombosis in patients with BD at an earlier age compared with the general population. Risk of embolism in patients with BD might vary across the disease course.


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