E-bibliotherapy for improving the psychological well-being of informal caregivers of people with dementia: a randomized controlled trial protocol.

BACKGROUND: Providing informal care for individuals with dementia is frequently a challenging and demanding experience that can have detrimental effects on the psychological well-being of caregivers. Regrettably, community-based caregiver services often prove inadequate, highlighting the necessity for innovative approaches to support caregivers. AIM: To test the efficacy of e-bibliotherapy in improving the psychological well-being of informal caregivers of people with dementia. METHOD: The study is divided into two phases. In phase 1, the research team will co-design the e-bibliotherapy app with caregivers. In phase 2, a randomized controlled trial will be conducted among 192 informal caregivers of people with dementia in Hong Kong. Caregivers will be randomly assigned to either the e-bibliotherapy group or the control group using simple randomization. Outcome measures will encompass caregivers' psychological well-being, caregiving appraisal, mental health, saliva cortisol levels as an indicator of stress, and health-related quality of life for caregivers. Data will be collected at baseline, immediately post intervention, and 3 months and 6 months post intervention. General linear mixed model will be employed to analyze intervention effects. Qualitative interviews will be undertaken to explore caregiver experiences within this study and evaluate intervention acceptability using conventional content analysis methods. DISCUSSION: This study represents a pioneering effort in utilizing e-bibliotherapy to enhance the psychological well-being of informal caregivers of individuals with dementia, addressing the existing gap in caregiver services and facilitating knowledge dissemination within the community. TRIAL REGISTRATION: The trial has been registered on ClinicalTrial.gov (Ref: NCT05927805).

Constructing the concept of healthy ageing and examining its association with loneliness in older adults.

BACKGROUND: World Health Organization (WHO) has defined healthy ageing by highlighting five functional ability domains to (meet basic needs, make decisions, be mobile, build and maintain relationships, and contribute to society), which also emphasized the importance of addressing loneliness as priorities within United Nations Decade of Healthy Ageing initiative. However, the level and determinants of healthy ageing and its association with loneliness are rarely examined. This study aimed to construct a healthy ageing index to verify the WHO healthy ageing framework, measure five domains of functional ability of older adults and examine the relationship between functional ability domains and loneliness. METHODS: A total of 10,746 older adults from the 2018 China Health and Retirement Longitudinal Study (CHARLS) were included. A healthy ageing index ranging from 0 to 17 was constructed using 17 components related to functional ability domains. Univariate and multivariate logistic regression analyses were utilized to determine the association between loneliness and healthy ageing. The STROBE guidelines with the RECORD statement for observational studies using routinely collected health data were observed. RESULTS: The factor analysis verified the five functional ability domains for healthy ageing. After adjusting for confounders, being mobile, building and maintaining relationships, and learning, growing and making decisions were significantly associated with lesser loneliness among participants. CONCLUSIONS: The healthy ageing index of this study can be utilized and further modified with respect to large-scale research with relevant healthy ageing topics. Our findings will support healthcare professionals to provide patient-centered care when identifying their comprehensive abilities and needs.

Government interventions and control policies to contain the first COVID-19 outbreak: An analysis of evidence.

BACKGROUND: The overarching aim of this study was to evaluate the effectiveness over time of government interventions and policy restrictions and the impact of determinants on spread and mortality during the first-wave of the COVID-19 pandemic, globally, regionally and by country-income level, up to 18 May 2020. METHODS: We created a global database merging World Health Organization daily case reports (from 218 countries/territories) with other socio-demographic and population health measures from 21 January to 18 May 2020. A four-level government policy interventions score (low to very high) was created based on the Oxford Stringency Index. RESULTS: Our results support the use of very high government interventions to suppress both COVID-19 spread and mortality effectively during wave one globally compared to other policy levels of control. Similar trends in virus propagation and mortality were observed in all country-income levels and specific regions. CONCLUSIONS: Rapid implementation of government interventions was needed to contain the first wave of the COVID-19 outbreak and to reduce COVID-19-related mortality.

The Effects of Immersive Virtual Reality Applications on Enhancing the Learning Outcomes of Undergraduate Health Care Students: Systematic Review With Meta-synthesis.

BACKGROUND: Immersive virtual reality (IVR) applications are gaining popularity in health care education. They provide an uninterrupted, scaled environment capable of simulating the full magnitude of sensory stimuli present in busy health care settings and increase students' competence and confidence by providing them with accessible and repeatable learning opportunities in a fail-safe environment. OBJECTIVE: This systematic review aimed to evaluate the effects of IVR teaching on the learning outcomes and experiences of undergraduate health care students compared with other teaching methods. METHODS: MEDLINE, Embase, PubMed, and Scopus were searched (last search on May 2022) for randomized controlled trials (RCTs) or quasi-experimental studies published in English between January 2000 and March 2022. The inclusion criteria were studies involving undergraduate students majoring in health care, IVR teaching, and evaluations of students' learning outcomes and experiences. The methodological validity of the studies was examined using the Joanna Briggs Institute standard critical appraisal instruments for RCTs or quasi-experimental studies. The findings were synthesized without a meta-analysis using vote counting as the synthesis metric. A binomial test with P<.05 was used to test for statistical significance using SPSS (version 28; IBM Corp). The overall quality of evidence was evaluated using the Grading of Recommendations Assessment, Development, and Evaluation tool. RESULTS: A total of 17 articles from 16 studies totaling 1787 participants conducted between 2007 and 2021 were included. The undergraduate students in the studies majored in medicine, nursing, rehabilitation, pharmacy, biomedicine, radiography, audiology, or stomatology. The IVR teaching domains included procedural training (13/16, 81%), anatomical knowledge (2/16, 12%), and orientation to the operating room setting (1/16, 6%). The quality of the 75% (12/16) of RCT studies was poor, with unclear descriptions of randomization, allocation concealment, and outcome assessor blinding procedures. The overall risk of bias was relatively low in the 25% (4/16) of quasi-experimental studies. A vote count showed that 60% (9/15; 95% CI 16.3%-67.7%; P=.61) of the studies identified similar learning outcomes between IVR teaching and other teaching approaches regardless of teaching domains. The vote count showed that 62% (8/13) of the studies favored using IVR as a teaching medium. The results of the binomial test (95% CI 34.9%-90%; P=.59) did not show a statistically significant difference. Low-level evidence was identified based on the Grading of Recommendations Assessment, Development, and Evaluation tool. CONCLUSIONS: This review found that undergraduate students had positive learning outcomes and experiences after engaging with IVR teaching, although the effects may be similar to those of other forms of virtual reality or conventional teaching methods. Given the identification of risk of bias and low level of the overall evidence, more studies with a larger sample size and robust study design are required to evaluate the effects of IVR teaching. TRIAL REGISTRATION: International prospective register of systematic reviews (PROSPERO) CRD42022313706; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=313706.

Relation of Maternal Pre-Pregnancy Factors and Childhood Asthma: A Cross-Sectional Survey in Pre-School Children Aged 2-5 Years Old.

Background and Objectives: Asthma constitutes a constant, prolonged, inflammation-related pulmonary disorder in childhood with serious public health concerns. Several maternal risk factors can enhance the prevalence of its development in this stage of life; however, the currently available data remain contradictory and/or inconsistent. We aim to evaluate the potential impacts of mothers' sociodemographic, anthropometric and prenatal and perinatal factors on the prevalence of developing asthma in pre-school children. Materials and Methods: This is a retrospective cross-sectional survey, which includes 5133 women and their matched pre-school children. Childhood asthma was diagnosed using validated questionnaires. Statistical analysis was accomplished to evaluate whether maternal sociodemographic, anthropometric and prenatal and perinatal factors can increase the probability of childhood asthma in pre-school age. Results: A prevalence of 4.5% of childhood asthma was recorded in pre-school age. Maternal age and pre-pregnancy overweight and obesity, caesarean section, gestational diabetes and hypertension and not breastfeeding were associated with childhood asthma after adjustment for multiple confounding factors. Conclusion: Our research showed that several maternal factors increase the prevalence of childhood asthma in pre-school age. Suitable and effective health policies and strategies should be taken into account to confront the predominant maternal factors that increase its prevalence in pre-school age.

Adherence to the Mediterranean Diet during Pregnancy: Associations with Sociodemographic and Anthropometric Parameters, Perinatal Outcomes, and Breastfeeding Practices.

Background and Objectives: The Mediterranean diet (MD) has been recognized as a beneficial nutritional pattern that promotes human health, decreasing the risks of a variety of human disorders and pathological states, including adverse pregnancy outcomes. In this aspect, the current survey aimed to assess the potential association of compliance with the MD during gestation with various sociodemographic and anthropometric parameters, perinatal outcomes, and breastfeeding practices. Materials and Methods: This was a cross-sectional study performed on 5688 pregnant women from 10 distinctive Greek areas. Face-to-face interviews with qualified questionnaires and thorough retrievals of medical records were performed to collect data concerning the participants' sociodemographic and anthropometric parameters, perinatal outcomes, and breastfeeding practices. Results: Elevated compliance with the MD during pregnancy was independently related with older age, higher educational status, and better economic status as well as decreased incidences of pre-pregnancy overweight/obesity and excess gestational weight gain and a lower likelihood of gestational diabetes. Moreover, greater adherence to the MD was independently associated with an increased prevalence of delivering vaginally and a greater prevalence of exclusive breastfeeding for at least 16 weeks postpartum. Conclusions: A higher level of compliance with the MD for the period of gestation was associated with several favorable lifestyle factors that may promote maternal health. Further studies with a prospective design as well as studies exploring the potential effects of maternal compliance with the MD for the period of pregnancy on the health of children should be performed. Future studies should also be extended beyond the MD by assessing the potential beneficial effects of adopting a Mediterranean lifestyle on maternal and child health.

The Association of Dietary Habits and Lifestyle Characteristics with Successful Aging among Older Greek Origin Individuals Living in France, Canada, and Greece: The Epidemiological Mediterranean Islands Study (MEDIS).

The aim of the present work was to investigate the association of dietary habits and lifestyle characteristics with successful aging among native Greeks and Greeks of Diaspora (Canada and France). During 2005-2019, 2,434 Greek men and women, living in Greece, in France, and in Canada, over 65 years of age were enrolled voluntarily in the study. Anthropometric, clinical and socio-demographic characteristics, dietary habits, and lifestyle parameters were derived through standard procedures, while successful aging was evaluated using the validated Successful Aging Index (SAI, range 0-10). The SAI of the overall sample was 2.8 ± 1.4. Greeks of Diaspora had higher SAI levels compared to their counterparts in Greece (p's < .001). However, there was no difference between Greeks of Canada and these of France (p > .05). Actually, Greeks of Diaspora had almost 1.9 units higher SAI compared to native Greeks (p < .001). Work and financial status, dietary and lifestyle behaviors (i.e., physical activity, smoking habits), and several clinical characteristics (i.e., history of hypertension and hypercholesterolemia) were statistically different between the three groups (all p's < .05). Greeks of Diaspora had higher SAI levels, probably because of their healthier lifestyle practices, which mainly depend on their traditions and cultural background of their homelands and living conditions in the host countries.

The association of animal and plant protein with successful ageing: a combined analysis of MEDIS and ATTICA epidemiological studies.

OBJECTIVE: The aim of the present study was to investigate the differences between the consumption of plant-based v. animal-based protein-rich diets on successful ageing, as well as to identify the optimal combination of dietary protein intake for facilitating successful ageing in people aged >50 years. DESIGN: A combined analysis was conducted in older adults of the ATTICA and MEDIS population-based cross-sectional studies. Anthropometrical, clinical and sociodemographic characteristics, lifestyle parameters, dietary habits and level of protein intake were derived through standard procedures. Successful ageing was evaluated using the validated Successful Aging Index (SAI) composed of ten health-related social, lifestyle and clinical characteristics. SETTING: Athens area and twenty Greek islands. PARTICIPANTS: A total of 3349 Greek women and men over 50 years old. RESULTS: Participants with high consumption of plant proteins were more likely to be male, physically active, with higher daily energy intake, higher adherence to the Mediterranean diet and higher level of SAI (P < 0·001). Participants with 'Low animal & High plant' and 'High animal & High plant' protein consumption had a 6 and 7 % higher SAI score, respectively, compared with the other participants (P < 0·001). In contrast, 'Low animal & Low plant' and 'High animal & Low plant' protein intake was negatively associated with SAI as compared to the combination of all other consumption categories (P < 0·02). CONCLUSIONS: The consumption of a plant-based protein-rich diet seems to be a beneficial nutritional choice that should be promoted and encouraged to older people since it may benefit both individual's health and prolong successful ageing.

Estimating the COVID-19 Spread Through Real-time Population Mobility Patterns: Surveillance in Low- and Middle-Income Countries.

BACKGROUND: On January 21, 2020, the World Health Organization reported the first case of severe acute respiratory syndrome coronavirus 2, which rapidly evolved to the COVID-19 pandemic. Since then, the virus has also rapidly spread among Latin American, Caribbean, and African countries. OBJECTIVE: The first aim of this study is to identify new emerging COVID-19 clusters over time and space (from January 21 to mid-May 2020) in Latin American, Caribbean, and African regions, using a prospective space-time scan measurement approach. The second aim is to assess the impact of real-time population mobility patterns between January 21 and May 18, 2020, under the implemented government interventions, measurements, and policy restrictions on COVID-19 spread among those regions and worldwide. METHODS: We created a global COVID-19 database, of 218 countries and territories, merging the World Health Organization daily case reports with other measures such as population density and country income levels for January 21 to May 18, 2020. A score of government policy interventions was created for low, intermediate, high, and very high interventions. The population's mobility patterns at the country level were obtained from Google community mobility reports. The prospective space-time scan statistic method was applied in five time periods between January and May 2020, and a regression mixed model analysis was used. RESULTS: We found that COVID-19 emerging clusters within these five periods of time increased from 7 emerging clusters to 28 by mid-May 2020. We also detected various increasing and decreasing relative risk estimates of COVID-19 spread among Latin American, Caribbean, and African countries within the period of analysis. Globally, population mobility to parks and similar leisure areas during at least a minimum of implemented intermediate-level control policies (when compared to low-level control policies) was related to accelerated COVID-19 spread. Results were almost consistent when regional stratified analysis was applied. In addition, worldwide population mobility due to working during high implemented control policies and very high implemented control policies, when compared to low-level control policies, was related to positive COVID-19 spread. CONCLUSIONS: The prospective space-time scan is an approach that low-income and middle-income countries could use to detect emerging clusters in a timely manner and implement specific control policies and interventions to slow down COVID-19 transmission. In addition, real-time population mobility obtained from crowdsourced digital data could be useful for current and future targeted public health and mitigation policies at a global and regional level.

The impact of physical activity on healthy ageing trajectories: evidence from eight cohort studies.

BACKGROUND: Research has suggested the positive impact of physical activity on health and wellbeing in older age, yet few studies have investigated the associations between physical activity and heterogeneous trajectories of healthy ageing. We aimed to identify how physical activity can influence healthy ageing trajectories using a harmonised dataset of eight ageing cohorts across the world. METHODS: Based on a harmonised dataset of eight ageing cohorts in Australia, USA, Mexico, Japan, South Korea, and Europe, comprising 130,521 older adults (Mage = 62.81, SDage = 10.06) followed-up up to 10 years (Mfollow-up = 5.47, SDfollow-up = 3.22), we employed growth mixture modelling to identify latent classes of people with different trajectories of healthy ageing scores, which incorporated 41 items of health and functioning. Multinomial logistic regression modelling was used to investigate the associations between physical activity and different types of trajectories adjusting for sociodemographic characteristics and other lifestyle behaviours. RESULTS: Three latent classes of healthy ageing trajectories were identified: two with stable trajectories with high (71.4%) or low (25.2%) starting points and one with a high starting point but a fast decline over time (3.4%). Engagement in any level of physical activity was associated with decreased odds of being in the low stable (OR: 0.18; 95% CI: 0.17, 0.19) and fast decline trajectories groups (OR: 0.44; 95% CI: 0.39, 0.50) compared to the high stable trajectory group. These results were replicated with alternative physical activity operationalisations, as well as in sensitivity analyses using reduced samples. CONCLUSIONS: Our findings suggest a positive impact of physical activity on healthy ageing, attenuating declines in health and functioning. Physical activity promotion should be a key focus of healthy ageing policies to prevent disability and fast deterioration in health.

Waist-to-Height Ratio Outperforms Classic Anthropometric Indices in Predicting Successful Aging in Older Adults; an Analysis of the ATTICA and MEDIS Epidemiological Studies.

Background/Study context: The aim of the present work was to investigate the association of Waist-to-Height Ratio (WHtR) with Successful Aging (SA) status and compare it to classic anthropometric indices, among middle-aged and older individuals.Methods: Among various socio-demographic, clinical and lifestyle characteristics, height, weight, waist circumference (WC), Waist-to-Hip Ratio (WHR) and WHtR of the Greek participants, over 50 years old, enrolled in the ATTICA (n = 1,128) and the MEDIS (n = 2,221) in relation to SA; SA was evaluated using the validated Successful Aging Index (SAI, range 0-10) comprising of health-related, social, lifestyle, and clinical parameters.Results: WHtR was inversely associated with SAI with every 0.1-unit increase, lowering SAI by almost 0.5 units (b-coefficient±SE: -4.71 ± 0.26; 95%CI: -5.21, -4.20). Also, WHtR was more strongly associated with SAI (b = -0.352), surpassing the effect of age and sex (b = -0.347 and 0.11, respectively). With respect to the other anthropometric indices (weight, height, WC, WHR), WHtR exhibited the highest explanatory ability (Adjusted R2 = 0.345); the higher the adjusted R2 the higher explanatory ability.Conclusions: WHtR was revealed as the best determinant of successful aging, with respect to other anthropometric indices (weight, height, WC, WHR). The present findings are of significant public health importance for better understanding the role of body mass distribution on the aging process.

Pain rates in general population for the period 1991-2015 and 10-years prediction: results from a multi-continent age-period-cohort analysis.

BACKGROUND: Pain is a common symptom, often associated with neurological and musculoskeletal conditions, and experienced especially by females and by older people. The aims of this study are to evaluate the temporal variations of pain rates among general populations for the period 1991-2015 and to project 10-year pain rates. METHODS: We used the harmonized dataset of ATHLOS project, which included 660,028 valid observations in the period 1990-2015 and we applied Bayesian age-period-cohort modeling to perform projections up to 2025. The harmonized Pain variable covers the content "self-reported pain experienced at the time of the interview", with a dichotomous (yes or no) modality. RESULTS: Pain rates were higher among females, older subjects, in recent periods, and among observations referred to cohorts of subjects born between the 20s and the 60s. The 10-year projections indicate a noteworthy increase in pain rates in both genders and particularly among subjects aged 66 or over, for whom a 10-20% increase in pain rate is foreseen; among females only, a 10-15% increase in pain rates is foreseen for those aged 36-50. CONCLUSIONS: Projected increase in pain rates will require specific interventions by health and welfare systems, as pain is responsible for limited quality of subjective well-being, reduced employment rates and hampered work performance. Worksite and lifestyle interventions will therefore be needed to limit the impact of projected higher pain rates.

Predictors of pain in general ageing populations: results from a multi-country analysis based on ATHLOS harmonized database.

BACKGROUND: Pain is a common symptom, often associated with neurological and musculoskeletal conditions, and experienced especially by females and by older people, and with increasing trends in general populations. Different risk factors for pain have been identified, but generally from studies with limited samples and a limited number of candidate predictors. The aim of this study is to evaluate the predictors of pain from a large set of variables and respondents. METHODS: We used part of the harmonized dataset of ATHLOS project, selecting studies and waves with a longitudinal course, and in which pain was absent at baseline and with no missing at follow-up. Predictors were selected based on missing distribution and univariable association with pain, and were selected from the following domains: Socio-demographic and economic characteristics, Lifestyle and health behaviours, Health status and functional limitations, Diseases, Physical measures, Cognition, personality and other psychological measures, and Social environment. Hierarchical logistic regression models were then applied to identify significant predictors. RESULTS: A total of 13,545 subjects were included of whom 5348 (39.5%) developed pain between baseline and the average 5.2 years' follow-up. Baseline risk factors for pain were female gender (OR 1.34), engaging in vigorous exercise (OR 2.51), being obese (OR 1.36) and suffering from the loss of a close person (OR 1.88) whereas follow-up risk factors were low energy levels/fatigue (1.93), difficulties with walking (1.69), self-rated health referred as poor (OR 2.20) or average to moderate (OR 1.57) and presence of sleep problems (1.80). CONCLUSIONS: Our results showed that 39.5% of respondents developed pain over a five-year follow-up period, that there are proximal and distal risk factors for pain, and that part of them are directly modifiable. Actions aimed at improving sleep, reducing weight among obese people and treating fatigue would positively impact on pain onset, and avoiding vigorous exercise should be advised to people aged 60 or over, in particular if female or obese.

The association of protein and carbohydrate intake with successful aging: a combined analysis of two epidemiological studies.

PURPOSE: Previous studies have reported associations between levels of protein and carbohydrate intake with several health outcomes. Yet, their effect on successful (or healthy) aging remains unknown. The purpose of the present work was to investigate the association of protein and carbohydrate intake levels with successful aging. METHODS: A cross-sectional analysis was carried out on the participants of two epidemiological studies; the ATTICA and the MEDIS studies. Anthropometrical, clinical and socio-demographic characteristics, dietary habits, and lifestyle parameters were derived through standard procedures. Successful aging was evaluated using a validated index (SAI) composed of 10 health-related social, lifestyle and clinical characteristics. RESULTS: SAI levels were lower in low protein-high carbohydrate diet group (B = - 0.08, p = 0.04), but higher in high protein-high carbohydrate group (B = 0.06, p = 0.04), as compared to low protein and low carbohydrate diet, in participants living in insular areas. Protein-carbohydrate diet was not associated with SAI (all p's > 0.05) among participants living in urban areas (p for diet-study interaction < 0.001). CONCLUSIONS: A high protein diet seems to be beneficial for older islanders in terms of successful aging; stating a hypothesis for a potential diet-environmental interaction that may be related to the quality of foods consumed and, consequently the sources of nutrients.

Sociodemographic Indicators of Health Status Using a Machine Learning Approach and Data from the English Longitudinal Study of Aging (ELSA).

BACKGROUND Studies on the effects of sociodemographic factors on health in aging now include the use of statistical models and machine learning. The aim of this study was to evaluate the determinants of health in aging using machine learning methods and to compare the accuracy with traditional methods. MATERIAL AND METHODS The health status of 6,209 adults, age <65 years (n=1,585), 65-79 years (n=3,267), and >80 years (n=1,357) were measured using an established health metric (0-100) that incorporated physical function and activities of daily living (ADL). Data from the English Longitudinal Study of Ageing (ELSA) included socio-economic and sociodemographic characteristics and history of falls. Health-trend and personal-fitted variables were generated as predictors of health metrics using three machine learning methods, random forest (RF), deep learning (DL) and the linear model (LM), with calculation of the percentage increase in mean square error (%IncMSE) as a measure of the importance of a given predictive variable, when the variable was removed from the model. RESULTS Health-trend, physical activity, and personal-fitted variables were the main predictors of health, with the%incMSE of 85.76%, 63.40%, and 46.71%, respectively. Age, employment status, alcohol consumption, and household income had the%incMSE of 20.40%, 20.10%, 16.94%, and 13.61%, respectively. Performance of the RF method was similar to the traditional LM (p=0.7), but RF significantly outperformed DL (p=0.006). CONCLUSIONS Machine learning methods can be used to evaluate multidimensional longitudinal health data and may provide accurate results with fewer requirements when compared with traditional statistical modeling.

The Association between Green and Black Tea Consumption on Successful Aging: A Combined Analysis of the ATTICA and MEDiterranean ISlands (MEDIS) Epidemiological Studies.

Tea is one of the most-widely consumed beverages in the world with a number of different beneficial health effects, mainly ascribed to the polyphenolic content of the tea catechins. The aim of this study was to examine the consumption of green, black, or no tea, in relation to the previously validated successful ageing index (SAI; higher values "healthier" ageing) in a combined analysis of adults aged >50 years old from the ATTICA (n = 1128 adults from Athens, Greece metropolitan area) and the MEDiterranean Islands Study (MEDIS) (n = 2221 adults from various Greek island and Mani) studies. After adjusting for age, sex, smoking, and coffee consumption, green tea was positively associated with SAI (b ± SE: 0.225 ± 0.055, p < 0.001), while black tea was negatively associated with SAI (unstandardized b coefficient ± Standard error: -0.807 ± 0.054, p < 0.001). Green tea (vs black tea) consumption, had higher odds of a SAI of over 3.58 out of 10 (OR: 1.77, 95% CI: 1.38-2.28). Green tea consumption was also associated with higher levels of physical activity (p < 0.001) and reduced likelihood of hypertension (p = 0.006) compared with black tea. Two possible mechanisms are that green tea possesses high levels of catechins such as (-)-epigallocatechin 3-gallate and l-theanine compared with black tea. Therefore, the present analysis supports both the role of green tea constituents in successful ageing, as well as its role as an important component of an overall healthy diet in adults aged 50 years and over from these two epidemiological studies.

Anti-Inflammatory Nutrition and Successful Ageing in Elderly Individuals: The Multinational MEDIS Study.

BACKGROUND: The role of diet and inflammation in successful ageing is not transparent, and as such, is still being investigated. The aim of the present work was to evaluate the inflammatory potential of dietary habits in the successful ageing of a random sample of older adults living in the Mediterranean basin and who participated in the MEDIS (MEDiterranean ISlands) study. METHODS: During 2005-2016, 3,128 older adults (aged 65-100 years) from 24 Mediterranean islands and the rural Mani region (Peloponnesus) of Greece were enrolled in the study. A multidimensional successful ageing index consisting of 10 components was employed. A validated and reproducible Food Frequency Questionnaire (FFQ) was used to evaluate the dietary habits of the older adults. A nutrition anti-inflammatory (NAI) score based on the participants' specific dietary habits was assessed. RESULTS: Participants with high NAI scores (proinflammatory nutrition) had a higher prevalence of hypercholesterolemia and lower levels of successful ageing. After adjusting for several confounders, the NAI score was associated with successful ageing (-0.03, 95% CI -0.5 to -0.006). Stratified analysis by gender and advanced age revealed heterogeneity in the NAI score, predicting successful ageing. CONCLUSIONS: The inflammatory potential of nutrition was reported as an important factor for successful ageing, suggesting that further research is needed on the role of anti- and proinflammatory dietary habits in healthy and successful ageing.

Social determinants, health status and 10-year mortality among 10,906 older adults from the English longitudinal study of aging: the ATHLOS project.

BACKGROUND: In either rich or poor countries, people's health widely depends on the social conditions in which they live and work - the social determinants of health. The aim of the present work was to explore the association of educational and financial status with healthy aging and mortality. METHODS: Data from the English Longitudinal Study of Aging (ELSA) were studied (n = 10,906 participants, 64 ± 11 years, 55% women). A set of 45 self-reported health items and measured tests were used to generate a latent health metric reflecting levels of functioning referred to as health metric (higher values indicated better health status). Overall mortality after 10-years of follow-up (2002-2012) was recorded. RESULTS: Both education and household wealth over time were positively associated with the health metric (p < 0.001) and negatively with overall mortality (p < 0.001). Lifestyle behaviors (i.e., physical activity, smoking habits and alcohol consumption) mediated the effect of education and household wealth on the health metric and the latter mediated their effect on overall mortality. CONCLUSIONS: In conclusion, reducing socioeconomic disparities in health by improving the access to education and by providing financial opportunities should be among the priorities in improving the health of older adults.

Latent class analysis of multimorbidity patterns and associated outcomes in Spanish older adults: a prospective cohort study.

BACKGROUND: This study sought to identify multimorbidity patterns and determine the association between these latent classes with several outcomes, including health, functioning, disability, quality of life and use of services, at baseline and after 3 years of follow-up. METHODS: We analyzed data from a representative Spanish cohort of 3541 non-institutionalized people aged 50 years old and over. Measures were taken at baseline and after 3 years of follow-up. Latent Class Analysis (LCA) was conducted using eleven common chronic conditions. Generalized linear models were conducted to determine the adjusted association of multimorbidity latent classes with several outcomes. RESULTS: 63.8% of participants were assigned to the "healthy" class, with minimum disease, 30% were classified under the "metabolic/stroke" class and 6% were assigned to the "cardiorespiratory/mental/arthritis" class. Significant cross-sectional associations were found between membership of both multimorbidity classes and poorer memory, quality of life, greater burden and more use of services. After 3 years of follow-up, the "metabolic/stroke" class was a significant predictor of lower levels of verbal fluency while the two multimorbidity classes predicted poor quality of life, problems in independent living, higher risk of hospitalization and greater use of health services. CONCLUSIONS: Common chronic conditions in older people cluster together in broad categories. These broad clusters are qualitatively distinct and are important predictors of several health and functioning outcomes. Future studies are needed to understand underlying mechanisms and common risk factors for patterns of multimorbidity and to propose more effective treatments.

Mild cognitive impairment in a Spanish representative sample: prevalence and associated factors.

OBJECTIVE: Given the limitations of treatments for dementia, the characterisation of the early stages of dementia is crucial for the development of preventive programmes and interventions. We aimed to estimate the prevalence of mild cognitive impairment (MCI) and examine its medical and lifestyle correlates in a nationally representative sample of the Spanish population. METHODS: A total of 3625 participants (≥50 years of age) were interviewed in a cross-sectional study. MCI was defined as the presence of cognitive concerns, the objective evidence of impairment in one or more cognitive domains, the preservation of independence in functional abilities and no dementia. Participants were also asked to provide sociodemographic, health status and lifestyle information. Logistic regression analyses were performed using the overall sample and by age groups. RESULTS: The overall prevalence of MCI was 9.6%, with higher rates in older people and women. In the overall model, after adjustment for potential confounders, depression [odds ratio (OR) = 1.79; 95% confidence interval (CI) = 1.21, 2.66], diabetes (OR = 1.43; 95% CI = 1.05, 1.95), sleep disturbances (OR = 1.66; 95% CI = 1.09, 2.55) and low level of physical activity (OR = 1.71; 95% CI = 1.26, 2.31) were associated with significantly higher odds for MCI. When stratified by age groups, depression (OR = 2.41; 95% CI = 1.35, 4.31), stroke (OR = 3.77; 95% CI = 1.44, 9.83) and obesity (OR = 2.06; 95% CI = 1.20, 3.53) were significantly associated with MCI in middle-aged participants (50-64 years), whereas low level of physical activity (OR = 1.85; 95% CI = 1.32, 2.59) and sleep disturbances (OR = 1.79; 95% CI = 1.05, 3.05) were associated with MCI in individuals aged 65+ years. CONCLUSIONS: Significant associations between MCI and psychological, cardiovascular and lifestyle factors were found. Targeting modifiable risk factors might reduce the risk for MCI and subsequent dementia.