The Association of Healthy Aging with Multimorbidity: IKARIA Study

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The Association of Healthy Aging with Multimorbidity: IKARIA Study nutrients Article The Association of Healthy Aging with Multimorbidity: IKARIA Study Alexandra Foscolou 1,2, Christina Chrysohoou 1,* , Kyriakos Dimitriadis 1, Konstantina Masoura 1, Georgia Vogiatzi 1, Viktor Gkotzamanis 2, George Lazaros 1, Costas Tsioufis 1 and Christodoulos Stefanadis 1 1 First Cardiology Clinic, Hippokration Hospital, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece; [email protected] (A.F.); [email protected] (K.D.); [email protected] (K.M.); [email protected] (G.V.); [email protected] (G.L.); ktsioufi[email protected] (C.T.); [email protected] (C.S.) 2 Department of Nutrition and Dietetics, School of Health Sciences and Education, Harokopio University of Athens, 17676 Athens, Greece; [email protected] * Correspondence: [email protected]; Tel.: +30-213-208-8000 Abstract: The aim of this study was to evaluate several sociodemographic, lifestyle, and clinical characteristics of the IKARIA study participants and to find healthy aging trajectories of multimor- bidity of Ikarian islanders. During 2009, 1410 people (aged 30+) from Ikaria Island, Greece, were voluntarily enrolled in the IKARIA study. Multimorbidity was defined as the combination of at least two of the following chronic diseases: hypertension; hypercholesterolemia; diabetes; obesity; cancer; CVD; osteoporosis; thyroid, renal, and chronic obstructive pulmonary disease. A healthy aging index (HAI) ranging from 0 to 100 was constructed using 4 attributes, i.e., depression symptomatology, cognitive function, mobility, and socializing. The prevalence of multimorbidity was 51% among men and 65.5% among women, while the average number of comorbidities was 1.7 ± 1.4 for men Citation: Foscolou, A.; Chrysohoou, and 2.2 ± 1.4 for women. The most prevalent chronic diseases among men with multimorbidity C.; Dimitriadis, K.; Masoura, K.; Vogiatzi, G.; Gkotzamanis, V.; were hypertension, hypercholesterolemia, and obesity while among women they were hypertension, Lazaros, G.; Tsioufis, C.; Stefanadis, C. hypercholesterolemia, and thyroid disease. Multimorbidity was correlated with HAI (Spearman’s The Association of Healthy Aging rho = −0.127, p < 0.001) and for every 10-unit increase in HAI, participants had 20% lower odds of with Multimorbidity: IKARIA Study. being multimorbid. Multimorbidity in relation to HAI revealed a different trend across aging among Nutrients 2021, 13, 1386. https:// men and women, coinciding only in the seventh decade of life. Aging is usually accompanied by doi.org/10.3390/nu13041386 chronic diseases, but multimorbidity seems to also be common among younger adults. However, healthy aging is a lifelong process that may lead to limited co-morbidities across the lifespan. Academic Editor: Roberto Cangemi Keywords: aging; healthy aging; multimorbidity; chronic disease; Ikaria; longevity; Greece Received: 15 March 2021 Accepted: 18 April 2021 Published: 20 April 2021 1. Introduction Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in The world’s older population is intensely growing [1]. This aging population is published maps and institutional affil- mostly a result of two demographic effects: longevity increase and fertility decline. An iations. increment in life span raises the average age of the population by increasing the numbers of surviving older people [2]. Life expectancy has improved dramatically over recent decades by exceeding the age of 75 in approximately 95 countries [3]. In most of the cases, it is not known whether these old populations are living their extra years in good or poor health; it is almost twenty years since the World Health Organization published statistics called the Copyright: © 2021 by the authors. Healthy Life Expectancy (HALE), defined as the average number of years that a person Licensee MDPI, Basel, Switzerland. This article is an open access article can expect to live in “full health”, excluding the years lived in less than full health due to distributed under the terms and disease and/or injury [4]. conditions of the Creative Commons It is a fact that the number of people with or at risk for long-term conditions is Attribution (CC BY) license (https:// also growing rapidly [5]. Multimorbidity, i.e., the coexistence of two or more health creativecommons.org/licenses/by/ conditions in an individual, is a growing public health challenge, being associated with 4.0/). poorer outcomes and increased use of health and social care services [6]. Even though the Nutrients 2021, 13, 1386. https://doi.org/10.3390/nu13041386 https://www.mdpi.com/journal/nutrients Nutrients 2021, 13, 1386 2 of 12 prevalence of multimorbidity increases with age, it is not uncommon amongst working-age populations. Actually, it is estimated that multimorbidity affects up to 95% of the primary care population aged 65 years and older [7]. Multimorbidity could consequently affect an individual’s quality of life, well-being, and ability to properly function [8], and despite the accumulation of chronic diseases, aging is not a “disease” but rather a lifelong process that occurs from birth to death. The aging population, less healthy lifestyles, and the increasing incidence of chronic conditions mean that multimorbidity is becoming a plague. This trend is a major health care challenge for every country around the world. Every person should have the opportunity to live a long and healthy life, i.e., to age and remain healthy. WHO defines healthy aging as “the process of developing and maintaining the functional ability that enables well-being in older age” [9]. According to the WHO, in order to be considered as having functional ability a person should be mobile; capable of meeting the basic needs; able to learn, grow, and make decisions; able to build and maintain relationships; and finally able to contribute to the society [10]. Taking into account the aforementioned and the lack of current data regarding mul- timorbidity and healthy aging in Greece, and more specifically in insular Greece, it is necessary to carry out research. Thus, the aims of the present work were (1) to evaluate the sociodemographic, lifestyle, and clinical characteristics of a population whose place of residence (Ikaria island, Greece) has been defined as a place where the environment is conducive to old age and the residents are more likely to reach and exceed the age of 90 [11] compared to other populations and (2) to investigate the association and the age trend between multimorbidity and healthy aging among these islanders. 2. Materials and Methods 2.1. Sample The IKARIA study is a prospective, observational cohort investigation initiated in 2009. The aims of the study were to evaluate various baseline biological, clinical, behav- ioral, and lifestyle characteristics of the adult population (aged 30+) of Ikaria island. A volunteer-based, multistage sampling method was used to enroll 667 men (67 ± 14 years) and 743 women (66 ± 14 years) from all over the island (84% participation rate). The participants for the purpose of this work were divided in multimorbidity groups, i.e., “No multimorbidity” group (n = 579) and “Multimorbidity” group (n = 828), and/or age groups, i.e., 30–39 (n = 15), 40–49 (n = 179), 50–59 (n = 275), 60–69 (n = 317), 70–79 (n = 360), 80–89 (n = 195), and finally 90+ (n = 66). Individuals residing in assisted-living centers were not included in the survey. A group of health scientists (nurses and physicians) with experience in field investigation collected all the required information using a structured, quantitative questionnaire and standard procedures. 2.2. Bioethics The study was approved by the Medical Research Ethics Committee of the First Cardiology Clinic of the University of Athens at Hippokration General Hospital and was carried out in accordance with the Declaration of Helsinki (1989) of the World Medical Association (Scientific Committee and Directory Board of Hippokration Hospital decision 10/29-06-2009). All participants were informed of the study aims and procedures and they provided written informed consent for study participation prior to enrollment. 2.3. Measurements 2.3.1. Sociodemographic Characteristics The sociodemographic characteristics studied included age (years), sex (man/woman), educational status (years of school), professional status (retired/housekeeping/employee/ businessman/unemployed), and financial status (mean annual income during the past three years was divided into four categories: low (inability of earnings to cover vital needs), moderate (EUR 6000–9600 per year), good (EUR 9601–18,000 per year), and very good (>EUR 18,000 per year). Nutrients 2021, 13, 1386 3 of 12 2.3.2. Lifestyle Characteristics Current smokers were defined as those who smoked at the time of interview; former smokers were defined as those who had stopped smoking for at least one year. Non- smokers were defined as those who had never smoked. Physical activity was evaluated in metabolic equivalent (MET) minutes per week using the shortened, translated, and validated-in-Greek version of the self-reported International Physical Activity Question- naire (IPAQ) [12]. Participants who did not report any physical activity were defined as sedentary. Data on hours of sleep per day were also recorded. 2.3.3. Anthropometric and Clinical Characteristics Weight and height were measured using standard procedures to attain the volunteer’s body mass index (BMI) (kg/m2). Obesity was defined as BMI > 29.9 kg/m2. Resting arterial blood pressure was measured three times
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