Introduction Ageing is associated with a multitude of healthcare issues including dementia, depression, frailty, morbidity associated with chronic disease and high healthcare utilisation. With Singapore’s population projected to age significantly over the next two decades, it has become increasingly important to understand the disease burden and etiological process among older adults. The Community Health and Intergenerational study aims to holistically examine ageing in place by investigating the resilience and vulnerability factors of the ageing process in the biological, psychological and social domains within the environment.
Methods and analysis Using a cohort multiple randomised controlled trial design, comprehensive health profiles of community-dwelling older adults will be collected. The objective is to recruit 1000 participants (aged 60–99 years) living in the western region of Singapore within a period of 3 years (2018–2020). Assessments include basic sociodemographic, physical health and function (cardiac, oral and blood profiles and visual function), cognitive functioning, daily functioning, physical fitness, emotional state, free-flowing speech, sleep quality, social connectedness, caregiver burden, intergenerational communication, quality of life, life satisfaction, attitudes to ageing and gratitude and compassion. Results from the cohort will enable future studies to identify at-risk groups and develop interventions to improve the physical and mental health and quality of life of older adults.
Ethics and dissemination Approval of the cohort study by the National University of Singapore Institutional Review Board (NUS-IRB Reference code: H-17-047) was obtained on 12 October 2017. Written consent will be obtained from all participants. Findings from the cohort study will be disseminated by publication of peer-reviewed manuscripts, presentations at scientific meetings and conferences with local stakeholders.
- geriatric medicine
- old age psychiatry
- public health
- cardiac epidemiology
- mental health
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Strengths and limitations of this study
This ongoing study will be among the first few cohort studies that comprehensively investigate the health profiles of older adults in Singapore.
Results of this study may contribute to a better understanding of vulnerability and resiliency factors of ageing.
Using a cohort multiple randomised controlled trial design will enable subsequent interventional studies to identify at-risk groups and test the feasibility of clinical interventions and community programmes that aim to improve health outcomes in older adults.
Due to sample size and cost considerations, the study lacks other in-depth measures; while restricted recruitment limits generalisability of the results.
The extensive range of findings from this study will provide useful health information about older adults that is relevant to clinicians, researchers and policymakers in Singapore.
The WHO estimates that the global population of older adults aged 60 years and above will rise from 900 million in 2015 to 2 billion in 2050.1 In Singapore, the proportion of residents aged above 65 years nearly doubled from 8.8% in 2009 to 14.4% in 2019 and is projected to be 25% by 2030.2 This poses a challenge as ageing is associated with a plethora of healthcare issues and high healthcare utilisation. Over the years, researchers have conducted nation-wide studies in Singapore to understand age-related diseases3 4 and modifiable factors to promote healthy ageing.5 6 Previous research has adopted a multidimensional framework (eg, WHO’s definition of health) to better understand the ageing process and healthcare-related needs.7 Using a similar framework, the Community Health and Intergenerational (CHI) study adopts Engel’s8 biopsychosocial model of health and disease to holistically examine ageing in place by collecting comprehensive health profiles of older adults in Singapore.
To date, cohort studies are shifting towards using holistic frameworks to observe ageing and health in the community. The Healthy Older People Everyday study (n=1051) is one such study that sought to assess physical and mental health among community-dwelling older adults (aged ≥65 years) through basic health screening as well as a health survey.9 Although the study used objective screening tools (eg, mini-mental state exam and physical fitness tests), it comprised mostly of self-reported measurement. The authors also suggested the need for more robust and comprehensive tools to be considered such as the Geriatric Depression Scale. Although other larger age-related cohort studies such as the Australian Imaging Biomarkers and Lifestyle study10 and Alzheimer’s Disease Neuroimaging Initiative11 are notable studies that have collected a wide range of measures (eg, clinical, cognitive, neuroimaging, lifestyle and genetic data), nonetheless the focus was largely on the treatment and progression of Alzheimer’s disease (AD). Further research is needed to assess other health-related determinants of older adults in the healthy ageing spectrum such as oral health assessments, cardiovascular investigations, speech analysis and olfactory measures. The Well-being of the Singapore Elderly study (n=2565) was another comprehensive study that included face-to-face interviews and physical examination; however, it lacked laboratory measurements and did not assess cardiovascular and other physical health risks.12 13 Research using objective measures to determine physical (eg, blood markers or echocardiography) and cognitive (eg, neurocognitive assessments) health status is needed to complement self-reported data. In terms of oral health, there appears to be an association between dental disease, tooth loss and onset of frailty.14 It is plausible that this may be mediated through triggering of inflammatory processes by pathogens from periodontal tissues, but there is a lack of longitudinal data to confirm this hypothesis.
There have been a few cross-sectional cohort studies carried out on older adults in the local context; these include the Singapore Longitudinal Ageing Study (SLAS) and the Diet and Healthy Ageing (DaHA) cohort. Conceived in 2003, the SLAS (n=6183) aimed to provide a community-based cohort of older adults (aged 55 years and above) for subsequent clinical-based interventions.7 Results from the ongoing study found new prevalence rates15 and associations.6 16 Participants from SLAS were also identified to join subsequent intervention studies such as a computer training randomised controlled trial (RCT) that was found to improve cognitive functioning.17 On the other hand, the DaHA (cohort) study placed emphasis on dietary factors and its association with healthy ageing and reduced risk of age-related medical conditions.5 For instance, the bioactive compounds found in mushroom and long-term tea consumption were associated with delay in cognitive impairment and reduced depression/anxiety symptoms, respectively.5 18 The cohort study later invited suitable subjects to participate in subsequent non-pharmacological RCTs that aimed to improve cognitive and psychological health—art therapy and music reminiscence activity,19 mindfulness awareness programme20 and horticultural therapy.21
Although the aforementioned studies on older adults documented valuable findings, some of them mainly focused on the treatment and progression of AD, while most studies did not incorporate other important measures of health such as detailed oral health examination, cardiovascular assessments and biomarkers, olfactory measures or speech analysis. More observational studies using in-depth and culturally relevant assessments of older adults in the healthy ageing spectrum are needed. This calls for greater integration of health, psychosocial and environmental resources through close collaborations among clinicians, researchers and community partners. Thus, the CHI study aims to holistically investigate factors associated with healthy ageing in a community setting using a broad range of health-related measures.
The primary goal is to examine the health profiles of older adults and form meaningful associations based on the following:
Biological factors such as the physical health condition (eg, cardiac, oral, blood profiles, vital signs and visual function), physical fitness/function, medical history and medication use, and nutritional status.
Psychological factors such as the cognition, emotional state (anxiety and depression symptoms), sleep quality, attitudes, values, satisfaction with life and quality of life.
Social factors such as social support, intergenerational relationships and the impact on family members.
Second, this study also acts as a recruitment platform for future interventional studies (eg, feasibility or full-scale trial) to identify at-risk groups or normal ageing participants. The cohort data will enable the development and evaluation of pharmacological and psychosocial interventions targeted at improving health outcomes for older adults. Specifically, data will be used to identify at-risk groups such as (but not limited to) older adults with subsyndromal depression or anxiety, mild cognitive impairment, medical conditions (eg, hyperlipidemia, diabetes, hypertension), at-risk of cardiovascular diseases, oral diseases, speech impairment or sleep apnea. Other future substudies will also explore culturally relevant psychosocial factors related to healthy ageing such as intergenerational communication, attitudes to ageing, social networks, satisfaction with life and many more.
Methods and analysis
The CHI study adopts a cohort multiple RCT (cmRCT) design, whereby the cohort provides capacity for multiple RCTs over time.22 Using a cmRCT design may increase efficiency in trial recruitment and potentially lower attrition rates.23 Hence, the cmRCT design is adopted to determine biopsychosocial factors involved in the ageing process and subsequently introduce interventions that can mitigate ageing-related issues such as cognitive and psychological health, diet, medication adherence, speech impairments, oral hygiene. The ongoing CHI study has started data collection on 1 February 2018. It will be conducted in two phases. Phase I comprises of a cross-sectional cohort study (baseline) detailed in this paper. Participants enrolling for the CHI cohort will be given the option of allowing their data to be used for analyses and in identifying them for future research interventions (ie, Phase II) or for comparison purposes for intervention trials. Details of the Phase II interventions will be published in full manuscripts separately.
This 3-year cohort study targets to recruit 1000 community-dwelling older adults in Singapore. Participants aged between 60 and 99 years of any gender and ethnic group will be eligible for the study. Illiterate participants are also eligible for the study; however, they will be excused from the Cambridge Neuropsychological Test Automated Battery. Assessments will be conducted in languages such as English, Mandarin, Malay and Chinese dialect (eg, Hokkien), depending on the subject’s preference.
In collaboration with Presbyterian Community Services (PCS), the main study site will be held at a local seniors’ activity centre, Hannah Seniors Activity Centre (HSAC), located within the community in the central west district of Singapore. Confirmation of the sociodemographic data of over 3000 older adults in the Anak Bukit area (ie, a subzone of the central west district) has been verified through the Department of Statistics Singapore.24 Data from PCS also indicated an estimate of 1000 older adults within a 20-block radius from the activity centre at Toh Yi. Recruitment is restricted to the central west district of Singapore.
Patient and public involvement
Participants in this study were not involved in the development of the study design or objectives. The research design and objectives were developed by the investigators of this study and underwent review by a board of academic advisors affiliated to the National University of Singapore Mind-Science Centre. PCS, a community partner, provided the study site (eg, quiet rooms in HSAC). In addition, information about the study procedures and recruitment process were shared with staff from PCS prior to data collection.
Older adults will be recruited from residences via door-to-door visits by research nurses and research assistants in the Toh Yi, Anak Bukit area and other areas within the district encompassed by a 10 km radius from the HSAC. Eligible individuals will also be recruited onsite from HSAC, community centres, resident corners, senior activity centres and residences within the recruitment area—advertisement flyers will be made available for visitors to the respective centres and word of mouth. Interested individuals will be invited to HSAC at their convenience. Non-ambulant individuals who are keen to participate in the study will have their consent taken in their own homes. A member of the research team will explain the study in detail and time will be given for individual to consider before written consent is given.
Participants will be invited to complete up to six separate visits, estimating to a total of 11 hours; they will be scheduled to complete five visits to HSAC and one to NUS Cardiovascular Imaging Core Lab at their earliest convenience. Data will be obtained through semistructured face-to-face interviews (visits 1 and 2), neuropsychological assessments (visits 3 and 4), biological specimen collection (blood and dental samples), dental examination (visit 5) and cardiovascular examination (visit 6), details of which are given in table 1. Non-ambulant participants will be assessed in their own homes and will only have to complete visits 1–3. Trained research assistants and certified nurses will conduct visits 1–4 and blood venepuncture, while certified dentists and medical sonographers will conduct visits 5 and 6, respectively. Moreover, experts will provide referral letters to participants for further follow-up if incidental findings should arise from assessments such as neuropsychological tests, depression/anxiety screening, oral health examination, blood tests and/or cardiovascular examination.
A wide range of data, spanning across several health domains, will be collected. Instruments and physical examinations were introduced by the investigators of this study that comprises of experts in psychiatry, cardiology, dentistry, otolaryngology, sociology, pharmacy, family and population research, linguistics, public health, orthopaedics and ophthalmology. These measures have been validated in the local context.15 25–42 It also comprises novel scales that will be used to test for validity in this sample.Table 1 provides an overview of the measures to be collected.
Data storage and analysis
Participants will be assigned a subject identification number (SID). Their corresponding data including questionnaire responses, audio recording, assessment records and biological samples will be kept anonymous and coded with the same assigned SID for consistency. All hardcopy data responses will be checked by two personnel to minimise missing data. Hardcopy coded data collected will be entered and stored on a standalone computer, and softcopy data will be password protected. Furthermore, all hardcopy data will be stored in a designated secured and locked space, accessible only to the selected personnel.
In general, demographic variables will be presented as descriptive summaries such as mean±SD, median, percentages for continuous variables and proportions for categorical variables. Univariate and multivariate linear regression analyses will be conducted to determine associations between continuous outcomes; logistic regressions will be used for dichotomous outcomes. Specifically, group differences (between cognitive diagnoses or self-reported medical conditions) will be analysed using independent-sample t-tests and analysis of variance. Relationships between physical and mental health, psychosocial and demographic variables will be analysed using multiple regressions and structural equation models. In addition, mixture models will be used to identify subgroups of participants based on their psychosocial, physical and mental health characteristics. Prediction modelling will also be attempted using the new covariates under study (eg, attitudes to ageing and intergenerational influence). P values of <0.05 will be considered statistically significant.
Ethics and dissemination
Ethics approval from the National University of Singapore Institutional Review Board (NUS-IRB Reference code: H-17-047) was obtained on 12 October 2017. The CHI study will be conducted in accordance with the principles of Good Clinical Practice and adhere to the Human Biomedical Research Act which provides a legal framework for researchers in Singapore to conduct research and the use of human tissue.43
Written informed consent will be obtained from all the participants after objectives and procedures of the research are fully explained to them by a member of the research team. Participants will also be informed that they can withdraw from the research at any time without giving any reasons. In addition, participants will be given the option of (1) providing their coded human biological materials and data for use in future research, (2) being recorded for the free flow speech segment and (3) being contacted for future intervention studies, incidental findings, changes to the research and follow-up appointment for memory concerns. Participants with dementia will also be asked to invite their legally acceptable representatives to the consent-taking process and data collection. The research team will ascertain that any persons making a decision on behalf of the participant with dementia acts in the best interest of the participant and takes into account of the participant’s wishes and feelings.
Results from the cohort study will be disseminated by publication of peer-reviewed manuscripts, presentations at scientific meetings and/or conferences with local stakeholders. The researchers may also communicate aggregated results to members of the public and clinical professionals through ad hoc meetings/events or mass media releases.
Using a cmRCT design, the CHI study seeks to explore vulnerability and resiliency factors associated with ageing with subsequent clinical trials of interventions and community programmes that could potentially hold translational significance. The study intends to recruit 1000 older adults and collect a comprehensive set of biological, psychological and social data. Meaningful associations between outcome measures found will provide significant information on the physical and mental health of older adults in Singapore. Results will also help identify at-risk groups of older adults and test out subsequent interventions targeted at improving health outcomes. In addition, having an interdisciplinary team of investigators enables the introduction of in-depth and novel health assessments such as oral examination, cardiovascular investigations, olfactory test and speech analysis. Given the limited sample size and cost considerations, this study excluded genetic and other in-depth measures (eg, neuroimaging and Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders Fifth Edition, SCID-5) which could have added value to findings. Moreover, several ageing cohort studies in Singapore44–46 have previously collected the above-mentioned data; hence, due to the limited resources, these measures were excluded in favour of other novel measures. Recruitment of participants in a confined area may also affect generalisability of the results. Nevertheless, the CHI cohort is culturally relevant and will provide clinicians, researchers and policymakers with information on improving the physical and mental health of older adults in Singapore.
The authors wish to thank Presbyterian Community Services for their valuable support. The authors would also like to thank the research team made up of research assistants (Mr Jonathan Wong, Ms Tan Xin Yi, Mr Jonathan Louis Chia, Ms PetrinaQuek, Ms Madeline Han, Ms Khor Ting Fang, Ms Savannah Siew, Ms Amanda Phoa, Ms Lim Xin Ying and Ms Yap Ai Che), dental practitioners (A/Prof Wong MunLoke, A/Prof Tan Kai Soo, Dr Lee Yun Hui, Dr Tan Mei Na, Dr Rakhi Mittal), nurses (Ms Ng Siew Yee and Ms Adeline Teo) and sonographers (Ms Gong Lingli, Ms HazlizaHazli and Ms Josephine BerbosoLunaria) who contributed to the execution of the Community Health and Intergenerational Study. Special thanks to Prof A. Mark Richards (NUS Cardiovascular Research Institute) for the laboratory support provided as well as Dr Cao Luwen for her transcription work and inputs (audio recordings).
Contributors RM, EHK and IR made a significant contribution to the conception of the study and implementation of the protocol. LF, PFA, LHL, ZB, DYW, LLT, KZY, QF, JKL, CTL and TN participated in the design of the study. RM initiated and conducted the study with a team of researchers (including PFA, LHL and RZYL) and is the primary author of the manuscript. RM, RZYL and JY prepared the first draft of the manuscript. RM, JY, RZYL, ZB and PFA made revisions to the manuscript. All authors read and approved the final version of the manuscript.
Funding The CHI Study is a research project under the National University of Singapore Mind-Science Centre (NUS MSC) and is funded by donation grants: (1) Hong Kong and Shanghai Bank Corporation grant for community projects and (2) funding from Kwan Im Thong Hood Cho Temple for NUS MSC’s Dementia Prevention Program.
Competing interests None declared.
Patient consent for publication Not required.
Provenance and peer review Not commissioned; externally peer reviewed.
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