Life and Living in Advanced Age: A Cohort Study in New Zealand -Te Puāwaitanga o Nga Tapuwae Kia Ora Tonu, LiLACS NZ: Study protocol
© Hayman et al.; licensee BioMed Central Ltd. 2012
Received: 17 November 2011
Accepted: 29 June 2012
Published: 29 June 2012
The Erratum to this article has been published in BMC Geriatrics 2017 17:127
The number of people of advanced age (85 years and older) is increasing and health systems may be challenged by increasing health-related needs. Recent overseas evidence suggests relatively high levels of wellbeing in this group, however little is known about people of advanced age, particularly the indigenous Māori, in Aotearoa, New Zealand. This paper outlines the methods of the study Life and Living in Advanced Age: A Cohort Study in New Zealand. The study aimed to establish predictors of successful advanced ageing and understand the relative importance of health, frailty, cultural, social & economic factors to successful ageing for Māori and non-Māori in New Zealand.
A total population cohort study of those of advanced age. Two cohorts of equal size, Māori aged 80–90 and non-Māori aged 85, oversampling to enable sufficient power, were enrolled. A defined geographic region, living in the Bay of Plenty and Lakes District Health Board areas of New Zealand, defined the sampling frame. Rūnanga (Māori tribal organisations) and Primary Health Organisations were subcontracted to recruit on behalf of the University. Measures - a comprehensive interview schedule was piloted and administered by a trained interviewer using standardised techniques. Socio-demographic and personal history included tribal affiliation for Māori and participation in cultural practices; physical and psychological health status used standardised validated research tools; health behaviours included smoking, alcohol use and nutrition risk; and environmental data included local amenities, type of housing and neighbourhood. Social network structures and social support exchanges are recorded. Measures of physical function; gait speed, leg strength and balance, were completed. Everyday interests and activities, views on ageing and financial interests complete the interview. A physical assessment by a trained nurse included electrocardiograph, blood pressure, hearing and vision, anthropometric measures, respiratory function testing and blood samples.
A longitudinal study of people of advanced age is underway in New Zealand. The health status of a population based sample of older people will be established and predictors of successful ageing determined.
KeywordsAdvanced age Successful ageing Longitudinal study Cohort Indigenous health
The population is ageing
People over 85 years of age are the fastest growing population group in New Zealand. They currently form 1% of the population but by 2050 the proportion will have grown to 6% . New Zealand men aged 83 and women aged 87 have a 90% chance of living another year (P90) . Little is known about this group as the absolute numbers of people over age 85 typically included in routine surveys is small.
Expenditure on personal health and disability support for people in advanced age is the highest for any age group in New Zealand with an average yearly per capita expenditure of $13,640 for women and $12,144 for men . This group also has the highest rate of preventable and unavoidable hospitalisations of any age group . However, despite increasing frailty, chronic conditions and co-morbidities, the majority of those over age 85 are living independently in the community with or without assistance (70%: 2001 New Zealand Census), with women much more likely to be living alone than men [2, 4–7]. New insights into associations with successful ageing in this group could lead to even small improvements in health and independence resulting in comparatively larger savings in health provision as the number of people over 85 years increases. Reallocation of current health funding may be prudent and better data will help inform where investment should be made and what the ongoing implications and opportunity costs would be. This paper describes the design of a longitudinal study to examine the contribution of a range of factors to independence and living well in advanced age. We begin by discussing current knowledge on the predictors of successful ageing both within and beyond New Zealand.
Health for Māori living in advanced age
Māori are the indigenous people of Aotearoa, New Zealand, comprising 14% of the total population and 2% of those aged over 80 years . Of those Māori who reach age 75, many have multiple health problems but may not have readily available whānau (extended family) to care for and support them due to the migration of whānau members from rural to urban areas, often for employment. Currently, there are few Māori who reach 85 years of age (less than 0.2% of the Māori population, ). Eighty to ninety years represents advanced age for Māori (P90 for Māori men is 79 years and for Māori women is 86 years). Thus, there is a large disparity in longevity for Māori and a disparity in their disability levels in advanced age. Demographic projections  suggest that Māori people can expect to live longer than current levels thereby potentially expanding the population of Māori living in advanced age and accentuating the disparities in disability.
Although Māori living in advanced age may enjoy wider social connections than non-Māori through the role they play in whānau and communities, their level of income is low and this is likely to affect their well-being. Investigation of the settlement of claims made to the Waitangi Tribunal (New Zealand’s commission of inquiry into claims by Māori over breaches in the promises made in New Zealand’s founding document, the Treaty of Waitangi) may reveal material benefits to Māori living in advanced age.
Ageing in New Zealand
The older population in New Zealand will have some attributes similar to other populations and some attributes distinct to New Zealand. Life expectancy in New Zealand, for instance, is almost identical to the United Kingdom, but patterns of disability-free life expectancy differ between the two countries. Risk of fall-related injuries was six times higher in older people living in New Zealand but born in the United Kingdom compared with those born in New Zealand, controlling for other factors . In New Zealand, 20% of those aged 85 and older are in residential care . Deprivation has been studied but not in old age , and the “potential collateral health gain” from social contacts has been relatively neglected . Income, family structure, economic circumstances, housing, social status and health will all be important to understand well-being and successful ageing for the very old in New Zealand , and housing and economic factors are integral to well-being. Incomes of older people are modest at best, particularly for Māori, and are least for those over age 65 years .
What we know from epidemiological studies
Longitudinal studies provide insight into epidemiological factors contributing to successful ageing. There are extensive reports predicting survival, health and function in those aged over 65 years. At least eleven completed longitudinal studies of ageing and thirty seven ongoing studies of older people are known . North American and United Kingdom studies have amassed evidence of disease states and smoking as shortening longevity, and physical activity as lengthening survival [16–18]. The importance of socioeconomic status is established  and more specific studies show the prevalence, course and impact of changing cognition in ageing . Studies examining medical, psychological, social and economic factors demonstrate the importance of breadth in protective factors . They have led to studies such as the Ageing Well - European Study on Adult Well-being examining the influence of cultural and health system related factors to well-being and survival. Poor nutritional status in older people is now a well-established negative prognostic indicator  as is inadequate food intake in community living older people . Studies from Australasia consistently identify specific health, health behaviours and social factors as predicting longevity and wellbeing [24–26], describing health and social factors and their influences on wellbeing and survival. Previously in New Zealand, longitudinal studies have highlighted the association between disability and falls with mortality [27, 28].
However, with advanced age, variability in all physiological and functional parameters increases . There is good evidence that factors known to predict successful ageing for those from 65 years may act quite differently in the oldest old population. New Zealand data suggests that direct extrapolation from trajectories of people aged 65–85 to people aged 85 and over is likely to be inaccurate, for example, in patterns of living circumstances, reasons for hospital admission and even in survival . Longitudinal studies of those aged 85 have emphasised the predictive nature of inflammation and vascular factors  and the Newcastle 85+ study, which is examining biomedical and clinical markers in detail  shows that in general people are independent at age 85 .
Non-medical factors neglected
Disability levels are modulated by measures of social support  and social contact is an independent and equal predictor of mortality and perceived health [34–37]. However, few studies of social participation have evaluated the relationship in the oldest old and the direction of the relationship has been inconsistent. There is debate as to how well the ‘essential ingredient’ of social support has been measured . Social networks, supports and contacts also impact utilisation of health services. A high level of family support can delay or prevent admission to institutions and use of formal supports . However, the relationship between general well-being and social network type is inconsistent  and the relationship between social networks and health may be different for the very old .
Housing conditions influence both the physical and psychological well-being of the occupants. Inadequate living conditions lead to increased stress levels, social isolation, poor health and a higher risk of disease and injury . Numerous factors are involved in the relationships between housing and health, from the structure and maintenance of the building and its location to elements in the lifestyle of the resident, such as tenure and size of household . These factors underline the positive relationship between higher socio-economic status and health [44–46].
This study addresses the gap in information about predictors of successful advanced ageing for Māori and non-Māori living in New Zealand. By non-Māori we mean all people of an ethnicity other than Māori, including New Zealand and other European, people from the Pacific Islands, African, Chinese, other Asian and Indian. A longitudinal study, Life and Living in Advanced Age: A Cohort Study in New Zealand (LiLACS NZ) focuses on health in advanced age taking a broad approach to assessment of non-medical determinants of health. A feasibility project funded by the Health Research Council of New Zealand tested the procedures for recruitment and assessment of people of advanced age and found that it was possible to engage with, enrol and assess older Māori and non-Māori .
The study has four main aims, to: 1) establish the health status of people in advanced age, 2) establish predictors of successful advanced ageing for older Māori and non-Māori, 3) describe trajectories in function and transitions in care for those in advanced age, and 4) establish the relative importance of health, frailty, cultural, social & economic factors (and others) in predicting relevant outcomes.
A total population longitudinal cohort study of those of advanced age living in a defined geographical region in New Zealand will address the aims. Two cohorts of equal size, Māori aged 80–90 and non-Māori aged 85 have been enrolled to allow equal explanatory power for the main analyses. Annual follow-up will assess on-going health status and function. The first three years have been funded and subsequent assessments are planned for fifteen years, funding permitting. The Northern X Regional Ethics Committee of New Zealand granted ethical approval for the longitudinal study in December 2009 (NTX/09/09/088).
Eligibility and recruitment
Potential participants were those born between 1 January and 31 December 1925 (aged 85 in 2010) for non-Māori, and between 1 January 1920 and 31 December 1930 (aged 80–90 in 2010) for Māori. Those meeting the age criteria and living within the Lakes or Bay of Plenty District Health Board (DHB) areas during the 2010 enrolment year were eligible. The study has two cohorts running in parallel, one with Māori participants only, the other enrolling participants of all other ethnicities.
Though recruitment rates were modest in the feasibility project, we demonstrated we could access independent older people. This meant the larger longitudinal study needed to make a comprehensive attempt to increase representativeness of participants i.e. inclusion of more disabled older people and those who were not well known to social and health agencies. Local publicity before fieldwork began and during the study involved speaking on local radio stations and at meetings of older people such as kaumātua (Māori elder) groups, community service agencies and at rest homes, preparing newspaper articles and placing posters and pamphlets in public places such as doctor's surgeries, pharmacies and shopping malls. Dedicated local consultation was used to engage Māori people in the project. A Rōpū Kaitiaki o tikanga Māori (governance group to protect the principles of proper conduct for Māori in research) was formed and included six Māori leaders related to the regions of the study.
After extensive consultation and regional meetings with tribal leaders and older people, seven local organisations were subcontracted by the University of Auckland to contact, recruit and enroll participants and to conduct interviews and health assessments. They comprise three Primary Health Organisations (PHOs; organisations that manage data and distribute funds for groups of General Practitioners), and four Māori Rūnunga (Māori tribal organisations). Four organisations enrolled both Māori and non-Māori participants, two, working under a joint subcontract, enrolled only Māori and one enrolled only non-Māori. Having local organisations driving recruitment and assessments enhanced engagement in the study and facilitates efficient flow through the study for participants.
Several sources were used to ascertain as complete a sample of eligible older people as possible; the New Zealand General and Māori electoral rolls, primary care databases through PHOs and General Practice (GP) databases. These lists were supplemented through whānau and community networks. Older people were approached and the study introduced by a person known to them where possible. If this was not possible, contact was made by their health provider or Māori iwi (tribal group) representative. They were forwarded written information, or contacted by telephone by a researcher or visited by the Māori groups, to explain the study in full. Kaupapa Māori methods (ways specific to Māori) were used to engage with Māori participants . Written informed consent was obtained before interview.
Study measures were collected in three phases: a structured face-to-face standardised questionnaire, a health assessment and blood test, and a brief review of general practice medical records for diagnosed medical conditions. Development of interview schedules and examination processes are described elsewhere . Interviews and assessments were offered as home visits or at another site as the participant chose. Sites of interview were expected to vary according to each local organisation’s preferred practice.
During the feasibility project focus groups with Māori and key informants discussed the topic of “living long and well in today’s society”. The main themes raised were formulated into questions about engagement and practice of Māori culture. The questions were refined by the Rōpū Kaitiaki and integrated into the main interview, with some questions to be asked of Māori only and some to be asked of both cohorts. Interview questions were translated for use in a bilingual version as needed.
We expanded standard demographic enquiry (age, ethnicity and current marital status) to include the length of time participants had been widowed/separated/divorced and the duration of other important relationships. We used an adapted version of the 2006 New Zealand Census questions for the highest education level achieved . Past and current paid and voluntary work was queried. Standard of living was asked by using part of the Health Work and Retirement Study/New Zealand Longitudinal Study of Ageing (NZLSA) questionnaire . Food security questions were included from the New Zealand National Nutrition Survey of 1997  and childhood food deprivation was recorded. Family make up and survivorship was recorded after specifying “Who raised you?” For Māori, whangai is when a child is given to a couple who have no children to raise, similar to an open adoption. The age of biological parents at death was recorded if known and the number of brothers, sisters, sons and daughters ever and currently alive was asked including age at death or current age. Exact questions were adapted from the Newcastle 85+ study protocols .
General health and health related quality of life
General health status and health related quality of life was assessed with the Medical Outcomes Study Short Form Health Survey (SF 12) [52–54]. Self-rated health compared with others of the same age was also asked. Two questions from the 2006 New Zealand Census asked about disability arising from a health condition . Two questions from the NZLSA questionnaire measured global life satisfaction and quality of life . Past significant health and psychological events were recorded following two questions “Have you ever had a major injury or health event that has affected you in the long term?” and “Have you ever had a major psychological stress event that has affected you in the long term?” Answers were recorded verbatim for later coding. Cardiovascular disease (CVD) was recorded by self-report from a list of standard diagnoses and family history of CVD was coded using items from the Cardiovascular Health Study . Items from the Manchester Respiratory Activities of Daily Living Scale  were added to the measure of functional status (below) to assess disability related to respiratory disease. The Borg Rating of Perceived Exertion Scale [57, 58] was used to assess breathlessness at time of rest and after exertion.
Psychological and mental health
Cognition was assessed using the modified Mini-Mental State Examination (3MS)  and the clock drawing test , with depressive symptoms assessed using the Geriatric Depression Scale (GDS-15) . Mastery and sense of control were assessed using the Pearlin and Schooler Sense of Mastery Scale . Five original items were prepared for the study to assess perceived coping ability. Participants rated the question “Thinking about .... how well do you cope?” in regard to a) life overall, b) times of loss, c) financial hardship, d) on-going health problems and e) family troubles. Responses on a five-point Likert scale ranged from ‘not at all’ to ‘extremely’ well.
Functional status and physical function
Function was measured by direct observation; by timed walking speed, leg strength and balance using the Short Physical Performance Battery (SPPB) . The Nottingham Extended Activities of Daily Living (NEADL) Scale  was used to assess self-reported functional status. Additional activities of daily living items, added in the same format as the NEADL, included grooming, toileting, transferring in and out of bed, showering/bathing and dressing. Two frailty measures were included. The Fried frailty scale  and the Edmonton Frail Scale  were able to be constructed from interview items.
Other specific health related issues
All medication (prescribed, over the counter, supplements and vitamins) were viewed by the trained interviewers and recorded by generic name as seen on the bottles and packets. Non-adherence was assessed by the question “At times do you forget to take your prescription medication?” and responses spanned four categories ranging from ‘all the time’ to ‘never’. Trouble with sleep quality was assessed with a positive response at least three nights a week such that it “interferes with your activities the following day” . We asked whether sleep problems were present when participants were younger.
Participants were asked if they had fallen or sustained fractures over the last 12 months and one question assessed confidence in completing daily activities without falling. The Study of Osteoporotic Fractures osteoporosis screening tool was used to establish fracture risk . Urinary and faecal continence were each assessed with a question about losing control of urine/bowels. One question sought to determine how much of a problem urinary incontinence was.
Pain was assessed using a numerical pain rating scale ranging from 0-no pain to 10-worst possible pain, and assessing current and typical pain and pain at its best and worst. Pain drawings are accepted assessment tools for chronic  and acute  pain and so participants were also asked to locate the site(s) of identified pain on a pain diagram. Disability caused by poor hearing and vision was assessed using modified questions from the Cognitive Function and Ageing Studies  i.e. “How much does your hearing [vision] interfere with normal day-to-day functioning?”. Hearing aid use and self-reported causes of visual impairment were recorded.
Health behaviours including nutrition
Smoking status was asked in a series of questions, ever smoked, when started, when stopped, how many cigarettes on average, to enable a pack year history to be calculated. The first two questions of the Alcohol Use Disorders Identification Test (AUDIT)  were used to establish alcohol use. Nutrition risk was determined using the 14-item validated questionnaire SCREEN II (Seniors in the Community: Risk Evaluation for Eating and Nutrition, Version II). This provides information on weight change, food intake and risk factors for food intake (meal frequency, diet restriction, appetite, chewing and swallowing difficulties, meal replacement, eating alone, meal preparation and shopping difficulties). Items are scored and summed. A cut-off of less than 50 (out of a possible 64) is considered to identify significant nutrition risk [73, 74]. Whether participants had dentures or their own teeth and a reason for difficulties chewing, if any, supplemented the nutrition risk items. Physical activity was assessed with the Physical Activity Scale for the Elderly (PASE) validated in community-dwelling older adults . PASE consists of ten items used to identify leisure, household and occupational related activity, and the duration of each activity over a one-week period.
Health services used
An inventory of primary and secondary health care providers was compiled for the feasibility project and modified in the main study; respondents were asked to recall the frequency of use over the last year.
Culture and cultural practices
Ethnicity was ascertained by self-identification, including languages spoken, hapū (wider family group), iwi (tribal group) and rohe (iwi boundary area) . Questions about Māori ancestry included whether parents and grandparents were born Māori or lived as Māori. Questions used in the NZLSA Study and adapted from the Te Hoa Nuku Roa  scale of cultural identity were used to assess level of contact with Māori culture, including marae visits and contact with Māori people. Other questions about cultural activities were generated from discussion groups with older Māori and included: roles within the whānau, community and Māori society and satisfaction with those roles; the importance of hapū and iwi to wellbeing and the understanding of tikanga (cultural practices); special foods that are important to practising culture; the importance of nature and the outdoors; and whether participants were living in the same area as their hapū. The use of te reo Māori me ona tikanga (Māori language) or other non-English language was recorded and questions followed to find out where these languages were spoken and whether and how often the participant sought out opportunities to listen to the language. The importance of language/culture and values to wellbeing was asked with a five point categorical response scale ranging from ‘not at all’ to ‘extremely’ important. Religious affiliation was recorded and the importance of faith to wellbeing via a similar scale .
Social networks and support exchanges
The MacArthur Studies of Successful Ageing  questions were used as a base to measure availability of emotional and practical support. Wenger’s Network Assessment Instrument was used to establish the type of support network [78, 79]. Participants’ satisfaction with the contact they had with family and friends was asked by adapting questions from the Duke Social Support Index .
The frequency of receiving meal services, home help, help for personal care and other services as used on a weekly basis was questioned and the funding source recorded.
Activities and transport
“Of all the things you do, which three would you say are most important to you?” was asked, adapted from the Melbourne Longitudinal Studies on Healthy Ageing Program (MELSHA) , and for each, the frequency of engaging in that activity was recorded. Change in activity over the last five years was asked, particularly which activities had been dropped . Nine activities from the Enhancing Wellbeing in an Ageing Society (EWAS) Study  were used to record activities and the frequency of participation in them over the last four weeks. An adaptation of the Modified NPS Interest Checklist  provided an additional eight clusters of activities and used the same response format. The perception of spending time was asked with two questions: “Thinking of how you spend your time would you say “most days I…” with responses being ‘don’t have enough to do’, ‘just keep busy enough’, and ‘always have more than enough to do’. Spending time alone was asked about with four categories to choose from, ranging from ‘always alone’ to ‘never alone’. Feelings of loneliness were asked about with a similar spread of responses; ‘always feel lonely’ to ‘never feel lonely’. Questions about driving, being driven, use of public transport and satisfaction with getting around, examined transport for older people.
Housing and environment
Questions about housing, neighbourhood and the environment were developed from interviews with older people in the control arm of the DeLLITE Trial  analysed with respect to place and space . Connection to current place, neighbourhood and community was asked with a five-category Likert scale ranging from ‘not at all’ to ‘extremely’ connected. Pets were counted. Housing type, ownership, size and age were recorded with structured questions adapted from the English Longitudinal Study of Ageing . Satisfaction with the home and its warmth in winter was assessed with a five-level response ranging from ‘very satisfied’ to ‘very dissatisfied’. A Brannan Mini Twin Dial meter was used at home interviews to record the ambient temperature and humidity of the room the participant spent most time in. Problems moving around inside the house were asked about via a menu of responses. Questions about renovations included the age of completed renovations and future desired renovations, including reasons for not completing these to date. The likelihood and enthusiasm of participants for moving in the future were asked about with a five- category response set ranging from ‘not at all’ to ‘extremely’ likely/enthusiastic. Why participants chose the home they were in was asked and a menu of reasons offered. We asked whether participants ‘liked’ their home and their neighbourhood and then specifically what they liked most and least about the neighbourhood from a menu including the ‘land/physical environment’, ‘amenities’, ‘age of housing/architecture’, ‘diversity/age/friendliness of people’, ‘length of time have lived here’ and ‘other reasons’. Reasons for choosing the neighbourhood was also asked about with a menu of choices including: ‘to be near or with children’, ‘to be near or with other relative’, ‘leisure activities’, ‘closer to health services and amenities’, ‘close to marae’, ‘returning to family land’, ‘climate/weather’ and ‘other reason’. Difficulty getting to the shops and amenities was asked about with a set menu of responses. The importance of nature and the outdoors for a) wellbeing, b) recreation and c) children/grandchildren was asked.
Politics and respect
Participants were asked about their views on the New Zealand Government’s policy with several questions worded similarly: “In general how happy are you with the current Government policy on .....” Responses ranged on a five point scale from ‘very happy’ to ‘very unhappy’. The areas of interest included Government policy on social services for older people, health services for older people, transport options for older people, the economy and race relations. Questions about the respect participants felt others gave them were asked to elicit older peoples’ views of their place in society and autonomy in making decisions. Questions were taken from the 2002/2003 New Zealand Health Survey . Finally general perspectives on growing older were asked and qualitative responses recorded verbatim.
For participants with advanced disability whose families and doctors were unwilling to burden them with full participation an ‘essential information only’ option was offered. This brief questionnaire was substantially smaller than the main questionnaire and took about thirty minutes to complete and included age, gender, living arrangement, functional status and, if any, main cause of disability.
The LiLACS NZ health assessment followed the baseline interview, generally on a different day. The assessment took about sixty to ninety minutes to complete and was conducted by a study nurse (registered with the New Zealand Nursing Council) using standardised procedures. All equipment was portable. Blood pressure was taken with the validated Microlife A100 Plus automated blood pressure monitor; upper arm lying and standing readings were repeated three times and the arm used was recorded. Weight was recorded using the Tanita Innerscan Body Composition Monitor, BC-545. The scale also provided measures of body fat mass, muscle mass and total body water estimated by bioimpedance. Although this is not the most accurate measurement for body composition, accessibility to more sophisticated measures such as a computerised topography or DEXA (Dual-emission X-ray absorptiometry) scan was not feasible in this study. Pulse oximetry was completed using the SP5500 finger pulse oximeter. Hearing (without hearing aids) was assessed using the H3SD Universal Hearing Screener and recorded as hertz heard at 500, 1000, 2000 and 4000 hertz in each ear. Visual acuity was assessed with research standard ETDRS visual acuity charts, a distance vision chart placed at 3 metres and a near vision chart tested at a comfortable focal length (usually 40 cm; distance recorded) with the use of glasses for either test also recorded. In accordance with research recommendations the minimum level of illumination was set at 350 units of lux (an international unit of light emittance). Lux readings were recorded. Anthropometric measures followed the protocol advised by the National Nutrition Survey of New Zealand 1997 . Height was measured twice with the SECA 213 free-standing stadiometer and a third time if the difference between the first two was more than 1centimetre. Waist and hip circumference were measured twice with a non-stretchable expandable tape and if the difference was more than 1 centimetre they were measured a third time. Muscle strength was assessed by measuring grip strength in both hands in the standing position or sitting if unable to stand, using the Takei digital handgrip dynamometer-Grip D. An electrocardiograph (ECG) was taken using the Welch Allyn CP200 12 lead ECG monitor. Forced vital lung capacity and forced expiratory volume were assessed on the CP200 monitor using the spirometry add-on.
Blood tests, taken after an overnight fast, were drawn by the study nurse or the local laboratory service. Analyses are planned to include the following however funds for analysis are not yet assured. Serum is stored securely at −80 °C.
· Inflammatory markers - fibrinogen, high sensitivity C-reactive protein, interleukin-6, tumour necrosis factor-alpha, erythrocyte sedimentation rate
· Lipid profile - total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol and triglycerides
· Nutritional markers - insulin-like growth factor-1, albumin, globulin, vitamin B12, vitamin B6, zinc, copper
· Endocrine function - thyroid stimulating hormone, triiothyronine, thyroxine, testosterone (men only), parathyroid hormone, adjusted calcium, glucose, glycated hemoglobin, sex hormone binding globulin (insulin resistance)
· Haematologic function - full blood count, total iron binding capacity, serum iron, iron saturation, red blood cell folate
· Renal function
· Vitamin D
· Liver function tests
· Cardiac markers - brain natriuretic peptide
With permission, existing medical diagnoses and procedures were accessed from the participant’s general practice patient records using their individual National Health Index (NHI) number. Study nurses or general practice staff recorded the presence of fourteen specified medical conditions and eight diagnostic or medical procedures and, where possible, the date they were first noted.
On-going data collection
Participants will be contacted annually for follow-up assessments which will include an interview and health assessment. Hospitalisation and mortality outcomes data will be obtained by matching the NHI with New Zealand Health Information Services (NZHIS) and DHB data. This will be completed each year after enrolment until the participant’s death. Specific permission is requested for this in the consent process.
Study timeline and procedure
Staff training and supervision
A full set of equipment was provided for nurses to learn and practice on in pairs during the training sessions and to use for LiLAC Study assessments afterwards. Because spirometry testing poses some risks with older people, specific instruction was conducted by a spirometry specialist. Most study nurses were already trained in phlebotomy, however, phlebotomy procedures were taught locally by pathology laboratory trainers to those who needed it. Detailed procedure manuals and resources, including equipment manuals and usage guidelines for nurses, were provided for staff to keep for reference throughout the data collection phases.
Quality monitoring and data entry
Inter-rater reliability for interviewers was attained during initial interviews when they were paired and both recorded answers. Responses were reviewed and discrepancies discussed with coordinators to ensure consistency in interviewing technique. Two Auckland-based project managers supported field staff in the first year of data collection. Monthly site visits were arranged to meet with staff to discuss problems and difficulties in recruitment and data collection; to ensure standardised practices were maintained and update training as necessary; and to collect completed raw data. In addition to these monthly visits, two formal review meetings (June and September 2010) provided the opportunity for review of procedures and discussions between local and university staff.
In general, data was recorded manually on paper data forms. This method was chosen because of the difficulties of ensuring robust transport of electronic data from seven sites to one overall database and of providing appropriate technological support to outlying areas. All data forms were personally collected and returned to the study base in Auckland. ECG and spirometry tests were recorded electronically and an electronic form was also available to record medical conditions at the general practice. Data were logged in Auckland into a Microsoft Access database.
All data forms were checked thoroughly for missing codes or indistinct writing and generated queries were emailed to local study coordinators. Responses were changed manually on the data collection form before data entry. ECG and spirometry tests were read after administration in a standard manner by a cardiologist and physician. Test results were forwarded to the participant’s GP.
Ensuring participant safety
Adverse events, although unlikely during home visits, would not have the same back up as in a normal health care setting. If adverse events occurred during the interview the interviewer was instructed to respond as any lay person would and contact existing health providers and emergency services. Nurses were all trained clinicians and able to use their experience and judgement to contact the appropriate services should an emergency arise. The study protocols included information and emergency phone numbers if needed and a guide for when to alert GPs or emergency services. Study staff were encouraged to keep in contact with each other and each site met regularly to discuss concerns. The team of researchers based in Auckland were available by phone and email to provide back up and advice to the field staff and the participant. The local DHBs were supportive of the study and developed referral processes for any uncovered health needs. These were initiated through referral from the usual GP (with the older person’s permission) and only if information uncovered was clinically relevant and urgent.
There is an expectation of 20% mortality after two years. From the feasibility data several estimations are possible. At a rate of exposure of 23%, an NEADL score below 15 at baseline has the power to detect a relative risk of 1.67 if there are 500 persons in the sample. For a SCREEN II score of less than 50 to be related to a 1.6 relative risk of mortality, 450 persons are required. For other continuous measures a smaller number of persons are required. It is therefore possible that a cohort of 500 people will yield sufficient power to detect meaningful determinants of successful ageing and change in function and mood. Other cohorts have been of similar size (The Leiden 85+ study 599; Newcastle 85+ study 800).
We expect that some determinants of healthy ageing may differ between Māori and non-Māori and this together with lower life expectancy means that to achieve sufficient explanatory power for Māori a specifically Māori cohort was needed separate from non-Māori. For Māori who are aged 85, data that are comparable will be included in both cohorts. In addition this number will enable exact descriptions of health and social status for these vulnerable groups.
Recruitment and non-response will be reported and non-response weights calculated separately for each cohort with consideration to age (in the Māori cohort), gender, rural/urban residence and service subcontractor using established survey techniques. These weights will be used to adjust estimates and confidence intervals in descriptive statistics. Their use in analyses of longitudinal data will be determined for each research question.
Descriptive statistics including proportions with 95% confidence intervals, means with standard deviations and medians will describe the health, economic, social and psychological status of the two cohorts at baseline. The extent of missing data will be reported. Regression analyses will be used to investigate differences between important subgroups.
Analyses of the longitudinal data such as mood and function which will be collected as the cohort progresses require the use of statistical techniques that allow the correlated nature of the data to be modelled. Generalised linear mixed models are an appropriate statistical method and, depending on the specifications within the model, can be used for normally distributed data (linear mixed models), binary, ordinal or categorical data (nonlinear mixed models) to investigate changes over time and the moderation of relationships by other factors over time. Cox’s proportional hazards models and extensions of these models for time dependent predictors will be used to investigate mortality. Models will include appropriate demographics, potential confounders and hypothesised risk factors and in particular, the effect of age on associations between outcomes and determinants will be investigated in the Māori cohort. The statistical packages SAS v9.2 and STATA v9 will be the main tools used in statistical analysis.
A comprehensive longitudinal study of people of advanced age is underway in New Zealand. This paper has outlined the methods of the study Life and Living in Advanced Age: A Cohort Study in New Zealand. The health status of a population based sample of older people has been established and over time predictors of successful ageing will be evaluated. Data will be able to be compared with those generated from other international longitudinal studies of ageing. Longevity is increasing in both Māori and non-Māori people, but remains lower in Māori. The narrow age band for non-Māori will reduce the variability in outcomes related to age alone, however a wider cohort age was sought for Māori as they represent a smaller proportion of New Zealand’s older population. Including a cohort of Māori will provide unique data for understanding the trajectories of ageing in New Zealand’s indigenous population.
Baseline data are collected by seven local organisations. The same organisations are contracted to undertake annual follow-up waves of data collection. Withdrawal due to increasing frailty is expected as a consequence of ageing but we believe that consistency in face to face contacts will encourage ongoing involvement in the study. In addition, relationships are built between participants and local study staff and are able to maximise participants’ satisfaction with study processes.
Participant time commitment is substantial and is a potential limitation to high enrolment numbers but we endeavor to enhance the experience of older participants by providing thank you cards following each data collection end and a toll free telephone number to contact the Auckland team at any time. Throughout the study flexibility is demonstrated in the approach to engaging with and retaining frail older participants . We will host annual feedback meetings and provide written summaries to disseminate ongoing findings.
Funders: the Health Research Council of New Zealand programme grant (HRC 09/068B; main funding body), Ngā Pae o te Māramatanga (the New Zealand National Centre for Research Excellence for Māori; funded Māori engagement and project management) project grant, National Heart Foundation project grant for investigating cardiac markers, Oakley Mental Health Foundation project grant for investigating dementia. Translation was provided by Rangi McGarvey and refined by the Rōpū Kaitiaki; Hone Kameta, Florence Kameta, Betty MacPherson, Laiana Reynolds, Paea Smith and Te Kaanga Skipper. Elizabeth Robinson provided biostatistical advice.
- Statistics New Zealand: http://www.stats.govt.nz,
- Ministry of Health: Health of older people strategy: Health sector action to 2010 to support positive ageing. 2002, Ministry of Health, Wellington, New ZealandGoogle Scholar
- Ministry of Health: The health and independence report. 2001, Ministry of Health, WellingtonGoogle Scholar
- Wilkinson T, Sainsbury R: A census-based comparison of centenarians in New Zealand with those in the United States. J Am Geriatr Soc. 1998, 46: 488-491.View ArticlePubMedGoogle Scholar
- Wilkinson T, Sainsbury R: The association between mortality, morbidity and age in New Zealand's oldest old. Int J Aging Hum Dev. 1998, 46: 333-343. 10.2190/9TE4-JCB5-4C8T-PFK9.View ArticlePubMedGoogle Scholar
- Ministry of Health: Older people's health chart book 2006. 2007, Ministry of Health, Wellington, New ZealandGoogle Scholar
- Collerton J, Davies K, Jagger C, Kingston A, Bond J, Eccles MP, Robinson LA, Martin-Ruiz C, von Zglinicki T, James OF, Kirkwood TB: Health and disease in 85 year olds: baseline findings from the Newcastle 85 + cohort study. Br Med J. 2009, 339: b4904-10.1136/bmj.b4904.View ArticleGoogle Scholar
- 2006 Census: Wellington New Zealand, [http://www.stats.govt.nz/Census/2006CensusHomePage.aspx]
- Poole I: Ageing, population waves, disordered cohorts and policy. New Zeal Popul Rev. 2003, 29 (1): 19-39.Google Scholar
- Kerse N, Butler M, Robinson E, Todd M: Wearing slippers, falls and injury in residential care. Aust N Z J Public Health. 2004, 28: 180-187.View ArticlePubMedGoogle Scholar
- Blakely T: Socioeconomic inequalities and adult mortality 1991–1994. 2002, Minisitiry of Health, WellingtonGoogle Scholar
- Christakis NA: Social networks and collateral health effects. Br Med J. 2004, 329 (7459): 184-185. 10.1136/bmj.329.7459.184.View ArticleGoogle Scholar
- Koopman-Boyden P: Ageing Society: the implications. 1993, Daphne Brassell Associates Press, WellingtonGoogle Scholar
- Fergusson D, Hong B, Horwood J, Jensen J, Travers P: Living Standards of Older New Zealanders, A Technical Account, Te Noho o nga Kaumatua o Aotearoa. 2000, Ministry of Social Development, WellingtonGoogle Scholar
- Schaie K, Hofer S: Longitudinal Studies of Aging. 2001, Academic, San DiegoGoogle Scholar
- Guralnik J, Kaplan G: Predictors of healthy aging: prospective evidence from the Alameda County Study. Am J Public Health. 1989, 79: 703-708. 10.2105/AJPH.79.6.703.View ArticlePubMedPubMed CentralGoogle Scholar
- Guralnik JM, LaCroix AZ, Abbott RD, Berkman LF, Satterfield S, Evans DA, Wallace RB: Maintaining mobility in late life. I. Demographic characteristics and chronic conditions. Am J Epidemiol. 1993, 137 (8): 845-857.View ArticlePubMedGoogle Scholar
- Pinsky J, Leaverton P, Stokes RJ: Predictors of good function: the Framingham Study. J Chronic Dis. 1987, 40: 159-167.View ArticleGoogle Scholar
- Marmot M: Health, Wealth and Lifestyles of the Older Population in England: the 2002 English Longitudinal Study of Ageing. 2003, Institute for Fiscal Studies, LondonGoogle Scholar
- Brayne C: Health and ill-health in the older population in England and Wales. Age Ageing. 2001, 30: 53-62. 10.1093/ageing/30.1.53.View ArticlePubMedGoogle Scholar
- Baltes PB, Mayer KU: The Berlin Ageing Study. 1999, Cambridge University Press, Cambridge, United KingdomGoogle Scholar
- Morley J: Anorexia, sarcopenia and aging. Nutrition. 2001, 17: 660-663. 10.1016/S0899-9007(01)00574-3.View ArticlePubMedGoogle Scholar
- Payette H, Gray-Donald K, Cyr R, Boutier V: Predictors of dietary intake in a functionally dependent elderly population in the community. Am J Public Health. 1995, 85: 677-683. 10.2105/AJPH.85.5.677.View ArticlePubMedPubMed CentralGoogle Scholar
- Andrews G: An overview of the Australian Longitudinal Study of Ageing. Gerontology. 2001, 47: 161-162. 10.1159/000052791.View ArticleGoogle Scholar
- Simons L, McCallum J, Freidlander Y, Simons J: Predictors of mortality in the prospective Dubbo study of Australian elderly. Aust N Z J Med. 1996, 26 (1): 40-48. 10.1111/j.1445-5994.1996.tb02905.x.View ArticlePubMedGoogle Scholar
- Kendig H, Helme R, Teshuva K, Osborne D, Flicker L, Browning C: Health Status of Older People: preliminary findings from a survey of the health and lifestyles of older Australians. 1996, Victorian Health Promotion Foundation, MelbourneGoogle Scholar
- Campbell A, Diep C, Reinken J, McCosh L: Factors predicting mortality in a total population sample of the elderly. J Epidemiol Community Health. 1985, 39 (4): 337-342. 10.1136/jech.39.4.337.View ArticlePubMedPubMed CentralGoogle Scholar
- Campbell AJ, Busby WJ, Horwath CC, Robertson MC: Relation of age, exercise, anthropometric measurements, and diet with glucose and insulin levels in a population aged 70 years and over. Am J Epidemiol. 1993, 138 (9): 688-696.View ArticlePubMedGoogle Scholar
- Jagger C, Arthur A, Spiers N, Clarke M: Patterns of onset of disability in activities of daily living with age. J Am Soc Geriatr Soc. 2001, 49: 404-409. 10.1046/j.1532-5415.2001.49083.x.View ArticleGoogle Scholar
- Wilkinson T: Reasons for hospital admission in New Zealand's oldest old. Australas J Ageing. 1999, 18: 93-97. 10.1111/j.1741-6612.1999.tb00102.x.View ArticleGoogle Scholar
- Van Exel E, Gussekbo J, De Craen A, Bootsma-Van Der Wiel A, Frolich M, Westendrorp R: Inflammation and stroke - The Leiden 85-plus study. Stroke. 2002, 33: 1135-1138. 10.1161/01.STR.0000014206.05597.9E.View ArticlePubMedGoogle Scholar
- Collerton J, Barrass K, Bond J, Eccles M, Jagger C, James O, Martin-Ruiz C, Robinson L, von Zglinicki T, Kirkwood T: The Newcastle 85+ study: biological, clinical and psychosocial factors associated with healthy ageing: study protocol. BMC Geriatr. 2007, 7: 14-10.1186/1471-2318-7-14.View ArticlePubMedPubMed CentralGoogle Scholar
- Cohen S: Psychosocial models of the role of social support in the etiology of physical disease. Health Psychol. 1988, 7 (3): 269-297.View ArticlePubMedGoogle Scholar
- Berkman L, Syme S: Social networks, host resistance and mortality: a nine year follow up study of Alameda county residents. Am J Epidemiol. 1979, 109: 186-204.View ArticlePubMedGoogle Scholar
- Minkler M, Langhauser C: Assessing health differences in an elderly population: a five year follow up study. J Am Soc Geriatr Soc. 1988, 36 (2): 113-118.View ArticleGoogle Scholar
- House J, Landis K, Umberson D: Social relationships and health. Science. 1988, 241: 540-544. 10.1126/science.3399889.View ArticlePubMedGoogle Scholar
- House J, Robbins C, Metzner H: The association of social relationships and activities with mortality: prospective evidence from the Tecumseh community health study. Am J Epidemiol. 1982, 116 (1): 123-140.View ArticlePubMedGoogle Scholar
- Fox J: Social network interaction: new jargon in health inequalities. Whom you know may be important for your health. Br Med J. 1988, 297: 373-374. 10.1136/bmj.297.6645.373.View ArticleGoogle Scholar
- Solomon D, Wagner R, Marenberg M, Acampora D, Cooney L, Inouye S: Predictors of formal home health care use in elderly patients after hospitalisation. J Am Soc Geriatr Soc. 1993, 41: 961-966.View ArticleGoogle Scholar
- Larson R: Thirty years of experience on the subjective well-being of older Americans. J Gerontol. 1978, 33: 109-125.View ArticlePubMedGoogle Scholar
- Bowling A, Browne P: Social networks, health, and emotional well-being among the oldest old in London. J Gerontol. 1991, 46 (1): S20-S32.View ArticlePubMedGoogle Scholar
- Podger A: Health Policy and its Impact on Poverty. Aust Health Rev. 1998, 21: 28-39. 10.1071/AH980028.View ArticlePubMedGoogle Scholar
- Howden-Chapman P, Wilson N: Housing and Health. Social Inequalities in Health. Edited by: Howden-Chapman P. 1999, Ministry of Health and University of Otago, Wellington, 133-145.Google Scholar
- Hilleras P, Pollit P, Medway J, Ericsson K: Nonagenerians: A qualitative exploration of individual differences in well-being. Ageing Soc. 2000, 20: 673-697. 10.1017/S0144686X0100798X.View ArticleGoogle Scholar
- National Health Committee: The Social, Cultural and Economic Determinants of Health in New Zealand. 1998, Action to Improve Health, WellingtonGoogle Scholar
- Howden-Chapman P, Signal L, Crane J: Housing and Health in Older People: Ageing in Place. Soc Policy JN Z. 1999, 13: 14-30.Google Scholar
- Dyall L, Kerse N, Hayman K, Keeling S: Pinnacle of Life- Māori living to Advanced Age. N Z Med J. 2011, 124 (1331): 75-86.PubMedGoogle Scholar
- Smith L: Decolonizing Methodologies. 1999, University of Otago Press, Dunedin, New ZealandGoogle Scholar
- 2006 Census questionnaires - Sample English-only Individual Form: http://www.stats.govt.nz/Census/about-2006-census/2006-census-questionnaires.aspx,
- New Zealand Longitudinal Studies of Ageing: Palmerston North. New Zealand, [http://nzlsa.massey.ac.nz/study-info.htm]
- Quigley R, Watts C: Food Comes First: Methodologies for the National Nutrition Survey of New Zealand. 1997, Ministry of Health, WellingtonGoogle Scholar
- Brazier J, Harper R, Jones N, O'Cathain A, Thomas K: Usherwood Tea: Validating the SF-36 health survey questionnaire: new outcome measure for primary care. Br Med J. 1992, 305: 160-164. 10.1136/bmj.305.6846.160.View ArticleGoogle Scholar
- Brazier JE, Roberts J: The estimation of a preference-based measure of health from the SF-12. Medical Care. 2004, 42 (9): 851-859. 10.1097/01.mlr.0000135827.18610.0d.View ArticlePubMedGoogle Scholar
- Franks P, Lubetkin EI, Gold MR, Tancredi DJ, Jia H: Mapping the SF-12 to the EuroQol EQ-5D Index in a national US sample. Med Decis Making. 2004, 24 (3): 247-254. 10.1177/0272989X04265477.View ArticlePubMedGoogle Scholar
- Fried LP, Borhani NO, Enright P, Furberg CD, Gardin JM, Kronmal RA, Kuller LH, Manilio TA, Mittelmark MB, Newman A, O'Leary DH, Psaty B, Rautaharju P, Tracy RP, Weiler PG: The Cardiovascular Health Study: design and rationale. Ann Epidemiol. 1991, 1: 263-276. 10.1016/1047-2797(91)90005-W.View ArticlePubMedGoogle Scholar
- Yohannes AM, Roomi J, Winn S, Connolly MJ: The Manchester Respiratory Activities of Daily Living questionnaire: development, reliability, validity, and responsiveness to pulmonary rehabilitation. J Am Geriatr Soc. 2000, 48 (11): 1496-1500.PubMedGoogle Scholar
- Borg G: Perceived exertion as an indicator of somatic stress. Scand J Rehabil Med. 1970, 2: 92-98.PubMedGoogle Scholar
- Borg G: An introduction to Borg's RPE-scale. 1985, Mouvement Publications, New YorkGoogle Scholar
- Teng EL, Chui HC: The modified mini mental state (3MS) examination. J Clin Psychiatry. 1987, 48: 314-318.PubMedGoogle Scholar
- Nishiwaki Y, Breeze E, Smeeth L, Bulpitt CJ, Peters R, Fletcher AE: Validity of the Clock-Drawing Test as a screening tool for cognitive impairment in the elderly. Am J Epidemiol. 2004, 160 (8): 797-807. 10.1093/aje/kwh288.View ArticlePubMedGoogle Scholar
- Sheikh J, Yeasavage J: Geriatric Depression Scale (GDS): Recent Evidence and Development of a Shorter Version. Clin Gerontol. 1986, 5: 165-173. 10.1300/J018v05n01_09.View ArticleGoogle Scholar
- Pearlin LI, Schooler C: The structure of coping. J Health Soc Behav. 1978, 19 (1): 2-21. 10.2307/2136319.View ArticlePubMedGoogle Scholar
- Guralnik J, Ferrucci L, Simonsick E, Salive M, Wallace R: Lower-extremity function in persons over the age of 70 years as a predictor of subsequent disability. N Engl J Med. 1995, 332: 566-561.View ArticleGoogle Scholar
- Essink-Bot ML, Krabbe PF, Bonsel GJ, Aaronson NK: An empirical comparison of four generic health status measures. Medical Care. 1997, 35 (5): 522-537. 10.1097/00005650-199705000-00008.View ArticlePubMedGoogle Scholar
- Fried LP, Tangen CM, Walston J, Newman AB, Hirsch C, Gottdiener J, Seeman T, Tracy R, Kop WJ, Burke G, McBurnie MA: Frailty in Older Adults: Evidence for a Phenotype. J Gerontol. 2001, 56A: M146-M156.View ArticleGoogle Scholar
- Rolfson DB, Majumdar SR, Tsuyuki RT, Tahir A, Rockwood K: Validity and reliability of the Edmonton Frail Scale. Age Ageing. 2006, 35: 526-529. 10.1093/ageing/afl041.View ArticlePubMedGoogle Scholar
- 4th Survey for Women over 75: Newcastle, Australia, [http://www.alswh.org.au/Surveys_data/Surveys/Old4Survey]
- Fractures: Fractures and Falls History questionnaire. San Francisco, United States of America, [http://www.sof.ucsf.edu/public/Form.asp]
- Margolis RB, Tait RC, Krause SJ: A rating system for use with patient pain drawings. Pain. 1986, 24 (1): 57-65. 10.1016/0304-3959(86)90026-6.View ArticlePubMedGoogle Scholar
- Gagliese L, Weizblit N, Ellis W, Chan VW: The measurement of postoperative pain: a comparison of intensity scales in younger and older surgical patients. Pain. 2005, 117 (3): 412-420. 10.1016/j.pain.2005.07.004.View ArticlePubMedGoogle Scholar
- The Cognitive Function and Ageing Studies: Baseline or Prevalence Screen. 1989, Cambridge, United Kingdom, [http://www.cfas.ac.uk/pages/bquestionnaires/prev_screen_interview.htm]Google Scholar
- AUDIT: The Alcohol Use Disorders Identification Test. Guidelines for Use in Primary Care, Geneva, Switzerland, [http://whqlibdoc.who.int.ezp]
- Keller H, Hedley M: Wong Brownlee S: Development of SCREEN-Seniors in the Community: Risk Evaluation for Eating and Nutrition. Can J Diet Pract Res. 2000, 61: 62-72.Google Scholar
- Keller H, Goy R, Kane S: Validity and reliability of SCREEN II (Seniors in the Community: Risk evaluation for eating and nutrition, Version II). Eur J Clin Nutr. 2005, 59: 1449-1157.View ArticleGoogle Scholar
- Washburn R, McAuley E, Katula J, Mihalko S, Boileau R: The physical activity scale for the elderly (PASE): evidence for validity. J Clin Epidemiol. 1999, 52 (7): 643-651. 10.1016/S0895-4356(99)00049-9.View ArticlePubMedGoogle Scholar
- Stevenson B: To He Nuku Roa: Te Hoe Nuku Roa: a measure of Māori cultural identity. 1996, Te Pitahi a Toi, School of Māori studies, Massey University, Palmerston NorthGoogle Scholar
- Unger JB, McAvay G, Bruce ML, Berkman L, Seeman T: Variation in the impact of social network characteristics on physical functioning in elderly persons: MacArthur Studies of Successful Aging. J Gerontol B Psychol Sci Soc Sci. 1999, 54 (5): S245-S251.View ArticlePubMedGoogle Scholar
- Wenger GC: Social Networks and the prediction of elderly people at risk. Aging Ment Health. 1997, 1 (4): 311-320. 10.1080/13607869757001.View ArticleGoogle Scholar
- Stephens C, Noone J: Social Support, Social Networks, and Well-Being. 2008, School of Psychology, Massey University, Palmerton NorthGoogle Scholar
- Koenig H, Westlund R, George L, Hughes D, Blazer D, Hybels C: Abbreviating the Duke Social Support Index for use in chronically ill elderly individuals. Psychosomatics. 1993, 34: 61-69. 10.1016/S0033-3182(93)71928-3.View ArticlePubMedGoogle Scholar
- Healthy Ageing Research Unit Melbourne Longitudinal Studies on Healthy Ageing Program (MELSHA): Melbourne, Australia, [http://www.med.monash.edu.au/sphc/haru/melsha/index.html]
- Haggblom-Kronlof G, Hultberg J, Eriksson BG, Sonn U: Experiences of daily occupations at 99 years of age. Scand J Occup Ther. 2007, 14 (3): 192-200. 10.1080/11038120601124448.View ArticlePubMedGoogle Scholar
- Koopman-Boyden P, Waldegrave C: Enhancing wellbing in an ageing society: 65–84 year old New Zealanders in 2007. 2009, University of Waikato, HamiltonGoogle Scholar
- Nilsson I, Fisher AG: Evaluating leisure activities of the oldest old. Scand J Occup Ther. 2006, 13: 31-37. 10.1080/11038120500360655.View ArticlePubMedGoogle Scholar
- Hayman KJ, Moyes SA, Peri K, Robinson EM, Dowell A, Kolt G, Elley CR, Hatcher S, Kiata L, Wiles JL, Keeling S, Parsons JGM, Arroll B: Home-Based Activity Program for Older People With Depressive Symptoms: DeLLITE-A Randomized Controlled Trial. Ann Fam Med. 2010, 8: 214-223. 10.1370/afm.1093.View ArticlePubMedPubMed CentralGoogle Scholar
- Wiles JL, Allen RES, Palmer AJ, Hayman KJ, Keeling S, Kerse N: Older people and their social spaces: A study of well-being and attachment to place in Aotearoa New Zealand. Soc Sci Med. 2009, 68 (4): 664-671. 10.1016/j.socscimed.2008.11.030.View ArticlePubMedGoogle Scholar
- Institute for Fiscal Studies English Longitudinal Study of Ageing: 2002, Wave One Questionnaire, London, England, http://www.ifs.org.uk/elsa/docs_w1/qu_wave1.pdf,
- Harris R, Tobias M, Jeffreys M, Waldegrave K, Karlsen S, Nazroo J: Racism and health: The relationship between experience of racial discrimination and health in New Zealand. Soc Sci Med. 2006, 63 (6): 1428-1441. 10.1016/j.socscimed.2006.04.009.View ArticlePubMedGoogle Scholar
- Harris R, Dyson E: Recruitment of frail older people to research: lessons learnt through experience. J Adv Nurs. 2001, 36 (5): 643-651. 10.1046/j.1365-2648.2001.02029.x.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2318/12/33/prepub
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