The Healthy Aging Index analyzed over 15 years in the general population: The Doetinchem Cohort Study

Dieteren, Charlotte; Samson, Leonard Daniël; Schipper, Maarten; Exel, Job van; Brouwer, Werner; Verschuren, W. M. Monique; Picavet, H. Susan J.

doi:10.1016/j.ypmed.2020.106193

Cited by 16 publications

(26 citation statements)

References 30 publications

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“…While the AUCs of several inflammatory markers were found to be related to frailty, no associations were observed between them and the increase in frailty over the five-year period (Supplementary correlation tables, tab "Frailty_change"). Secondly, to investigate the risk of becoming frail prospectively over a longer period of time, we selected a subgroup of individuals who were 'healthy' and thus were likely to have a low, favorable frailty index score at the start of our study; healthy at study baseline was defined according to an alternative health index that could be assessed at study baseline (Healthy Ageing Index score, score of 9 or 10 out of 10, higher score being more favorable; 31 women and 27 men; Figure 6A) (Dieteren et al, 2020). Then we investigated within these selected 'healthy' participants whether those with continuously higher (or lower) levels of inflammatory markers had a higher frailty index score at study endpoint, and thus became frailer over time.…”

Section: Trajectories Of Inflammatory Markers Related To An Increase In Frailtymentioning

confidence: 99%

“…The healthy aging index was measured at study baseline and was used to select a subgroup of participants that was 'healthy' at the start of follow-up. The score is based on health deficits defined by systolic blood pressure, plasma glucose levels, creatinine levels, lung function (forced vital capacity), and general cognitive function (Nooyens et al, 2011), as described elsewhere (Dieteren et al, 2020). Except for plasma glucose levels, the deficits were comparable to some of those included in the frailty index score.…”

Section: Healthy Aging Indexmentioning

confidence: 99%

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Relation of inflammatory marker trajectories with frailty and aging in a 20-year longitudinal study

Samson

Buisman

et al. 2021

Preprint

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Little is known about the development of low-grade inflammation with age and its relationship with the onset of frailty. In this exploratory study, we investigated 18 inflammatory markers measured in blood of 148 individuals aged 65-75 years at study endpoint, collected over 20 years at five-year intervals. IFNγ- and platelet activation markers changed in synchrony over time. Chronically elevated levels of IL-6-related markers, such as CRP and sIL-6R, were associated with frailty and becoming frail over time, ,poorer lung function or less physical strength. Overweight was a possible driver of these associations. More and stronger associations were detected in women, such as between increasing sCD14 levels and frailty, indicating possible monocyte overactivation. Multivariate prediction of frailty showed low accuracy but confirmed the main results. In summary, we documented 20-year temporal changes in and between inflammatory markers in an aging population, and related these to clinically relevant health outcomes.

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Section: Trajectories Of Inflammatory Markers Related To An Increase In Frailtymentioning

confidence: 99%

Section: Healthy Aging Indexmentioning

confidence: 99%

Relation of inflammatory marker trajectories with frailty and aging in a 20-year longitudinal study

Samson

Buisman

et al. 2021

Preprint

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“…HAI was a modified Physiological Index of Comorbidity [6], was developed to cover a broad range of health indicators over multiple organ systems and capture subclinical decrements in function [7]. HAI had been developed in the Western countries, and was a valid predictor for mortality, disability, and cardiovascular diseases among older adults [6][7][8][9][10][11][12][13]. In particular, Dieteren et al [13] studied development in individual HAI scores over the life course among people aged between 30 and 70 years in the Netherlands.…”

Section: Introductionmentioning

confidence: 99%

“…HAI had been developed in the Western countries, and was a valid predictor for mortality, disability, and cardiovascular diseases among older adults [6][7][8][9][10][11][12][13]. In particular, Dieteren et al [13] studied development in individual HAI scores over the life course among people aged between 30 and 70 years in the Netherlands. A recent study constructed the Chinese Healthy Ageing Index (CHAI, range 0-12, lower score was better), and shown that mean CHAI score was 5.6 in 2011, and that the younger, more educated and married people were more likely to have a higher prevalence of "ideal CHAI" (0-2) [14].…”

Section: Introductionmentioning

confidence: 99%

The change and correlates of healthy ageing among Chinese older adults: findings from the China health and retirement longitudinal study

Wang

Zhang

et al. 2021

BMC Geriatr

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Background This study tentatively constructs a composite measure of Chinese Healthy Ageing Index (CHAI) among older adults aged 60+ and investigates change of CHAI during 2011–2015 and its association with sociodemographic characteristics. Methods Data collected from 8182 old adults aged 60+ in the 2011 and 2015 China Health and Retirement Longitudinal Study (CHARLS, a nationally representative sample) were used. Six medical measures of blood pressure, peak expiratory flow, cognitive status score, fasting glucose, kidney function and C-reactive function were used to construct CHAI (range 0–12, 0–2 = healthiest, 7–12 = unhealthiest). Ordinary least squares, logistic and random effects models examined social and spatial determinants of CHAI score and the prevalence of the ideal CHAI. Unconditional quantile regression tested heterogeneous impacts of sociodemographic determinants of CHAI score. Results Mean CHAI score declined from 5.7 to 5.2, and the proportion of the ideal CHAI (CHAI score = 0–2) increased from 5.6 to 9.4% during 2011–2015, indicating an improvement in healthy ageing over time. During 2011–2015, the highest rates of the ideal CHAI were in Southeast and East of China. Older adults, male, living in the Center and West, smoking, obesity/overweight and having chronic diseases were positively associated with total CHAI score and negatively with a higher prevalence of the ideal CHAI. Being married, having high education and regular social activities were associated with a higher rate of the ideal CHAI. The positive predictors for total CHAI were stronger in those with worse CHAI status. Conclusions In China healthy ageing has improved during 2011–2015, but substantial geographical and sociodemographic heterogeneities exist in the improvements, suggesting health equality remains a challenge in China. Future policies and interventions should especially focus on men, those in Central and West China, and combat health problems like obesity, chronic diseases and unhealthy behaviors.

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“…Similar results were found in a study of the Spanish population, with a prevalence of healthy ageing ranging from 4.5 to 49.2%, depending on the criteria used to define it [ 4 ]. Recently, Dieteren and colleagues [ 13 ] published results of the ageing trajectories of a cohort of older adults, using the Healthy Ageing Index (HAI). The HAI predicts mortality, independently of the age or the presence of comorbidities, based on five physiological indicators.…”

Section: Introductionmentioning

confidence: 99%

A multidimensional model of healthy ageing: proposal and evaluation of determinants based on a population survey in Ecuador

et al. 2021

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Background Healthy ageing is a complex construct which involves multiple dimensions. Previous studies of healthy ageing have focused only on measuring the intrinsic capacity of the older person. The objectives of this study were to design a multidimensional model of healthy ageing and to identify its determinants from national data in Ecuador. Methods A cross-sectional analytical study was carried out from the National Survey of Health and Well-being of the Older Adult, 2010. Sample was 1797 adults aged 65 years or more. A multidimensional model was designed based on the World Health Organization’s concept of healthy ageing. For the analysis, two groups were created: a healthy ageing and a less healthy ageing group. Bivariate and multivariate logistic regressions were performed to analyze the probability of belonging to the healthy group according to sex, age, area of residence, level of education, perceived health status, perceived life satisfaction, and poverty by income level. Results The 53.15% of the sample was classified in the healthy ageing group. Women and the poorest older adults were less likely to be in the healthy ageing group (OR 0.58; 95% CI 0.464–0.737; OR 0.44; 95% CI 0.343–0.564). Older adults with secondary education or higher, who considered their health as excellent and who were satisfied with their life, had a greater probability of being in healthy ageing group (OR 2.61; 95% CI 1.586–4.309; OR 28.49; 95% CI 3.623–224.02; OR 0.23; 95% CI 0.165–0.341). Conclusions This study contributes with a multidimensional approach to healthy ageing. It proposes to evaluate the intrinsic capacity of the individual, the social and political environment and the interaction with it, through indicators that discriminate who are ageing in a healthy way and who are not. By using this model, it was identified that gender and economic situation seem to play an important role on heathy ageing of the Ecuadorian population. Public policies are necessary to promote healthy ageing, especially focused on improving socioeconomic conditions and gender equity.

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The Healthy Aging Index analyzed over 15 years in the general population: The Doetinchem Cohort Study

Cited by 16 publications

References 30 publications

Relation of inflammatory marker trajectories with frailty and aging in a 20-year longitudinal study

Relation of inflammatory marker trajectories with frailty and aging in a 20-year longitudinal study

The change and correlates of healthy ageing among Chinese older adults: findings from the China health and retirement longitudinal study

A multidimensional model of healthy ageing: proposal and evaluation of determinants based on a population survey in Ecuador

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