Hostname: page-component-586b7cd67f-t7czq Total loading time: 0 Render date: 2024-11-26T10:10:34.879Z Has data issue: false hasContentIssue false

Can some aspects of the epidemiology of elderly suicides be applied to dementia

Published online by Cambridge University Press:  28 June 2013

Ajit Shah
Affiliation:
School of Health, University of Central Lancashire, Preston, UK Email: [email protected]
Sofia Zarate-Escudero
Affiliation:
West London Mental Health NHS Trust, London, UK
Rights & Permissions [Opens in a new window]

Extract

Two important aspects of the epidemiology of suicides in the elderly people can potentially be applied to dementia. The first is the well-established observation of the independent effects of age, birth cohort membership, and the period on the risk of suicide in the elderly people (Murphy et al., 1986; Surtees and Duffy, 1989; Snowdon and Hunt, 2002). The second is the recently developed concept of the epidemiological transition hypothesis of suicide in the elderly people (Shah and Bhat, 2009; Shah, 2010; Shah et al., 2008). These epidemiological aspects, in addition to the theoretical aspects, may also have clinical and public health implications for dementia.

Type
Guest Editorial
Copyright
Copyright © International Psychogeriatric Association 2013 

Introduction

Two important aspects of the epidemiology of suicides in the elderly people can potentially be applied to dementia. The first is the well-established observation of the independent effects of age, birth cohort membership, and the period on the risk of suicide in the elderly people (Murphy et al., Reference Murphy, Lindesay and Grundy1986; Surtees and Duffy, Reference Surtees and Duffy1989; Snowdon and Hunt, Reference Snowdon and Hunt2002). The second is the recently developed concept of the epidemiological transition hypothesis of suicide in the elderly people (Shah and Bhat, Reference Shah and Bhat2009; Shah, Reference Shah2010; Shah et al., Reference Shah, Bhat, MacKenzie and Koen2008). These epidemiological aspects, in addition to the theoretical aspects, may also have clinical and public health implications for dementia.

Age, period, and cohort effects

Several studies, from different countries, have clearly demonstrated the independent effects of age, birth cohort membership, and the period of study on suicide rates at any given time (Murphy et al., Reference Murphy, Lindesay and Grundy1986; Surtees and Duffy, Reference Surtees and Duffy1989; Shah and De, Reference Shah and De1998; Snowdon and Hunt, Reference Snowdon and Hunt2002). Can this concept be applied to the prevalence of dementia?

Dementia is an age-related disorder with the prevalence doubling every 5.1 years increase in age after the age of 60 years in developed countries (Jorm et al., Reference Jorm, Korten and Henderson1987; Hofman et al., Reference Hofman1991) and every 7.3 years in developing countries (Llibre Rodriguez et al., Reference Llibre Rodriguez2008). Moreover, the prevalence of dementia significantly increased in Swedish women from the same birth cohort sample between the ages of 85 and 88 years (Aevarsson and Skoog, Reference Aevarsson and Skoog2005). Furthermore, the prevalence of dementia in Sweden was significantly higher in those aged 95 years compared to those aged 85 years from the same birth cohort using similar methodology (Borjesson-Hanson et al., Reference Borjesson-Hanson, Edin, Gislason and Skoog2004). These observations suggest that age may have an impact on the prevalence of dementia independent of the influence of the birth cohort membership. Also, the three-year change in time period in the above study of Swedish women from the same birth cohort sample between the ages of 85 and 88 years (Aevarsson and Skoog, Reference Aevarsson and Skoog2005) is unlikely to have influenced the prevalence of dementia.

Another Swedish study examined the prevalence of dementia in birth cohorts of 85-year-olds in 1986–1987 (born 1901–1902) and 2008–2010 (born 1923–1924; Skoog, Reference Skoog2012). The preliminary data from this study suggested that the prevalence of dementia decreased by almost a third in the later birth cohort despite an increase in the prevalence of stroke. This suggests that birth cohort membership may have an impact on the prevalence of dementia independent of the influence of age.

Taken together these findings suggest that the impact of age and birth cohort membership on the prevalence of dementia may occur independently. However, another variable, the actual time period of the study, may also independently influence the prevalence of dementia, and this may also potentially explain the above findings. Thus, there is a need to adapt and further develop the statistical techniques, already used to demonstrate independent effects of age, birth cohort membership, and period on suicide rates, for use in prevalence studies of dementia. Such development is emerging: the independent effect of age on health transitions in a Swedish and a Canadian birth cohort of 70-year-olds, assembled 20 years apart, was examined using statistical modeling techniques (Mitnitski et al., Reference Mitnitski, Bao, Skoog and Rockwood2007).

The epidemiological transition model

A developmental model of epidemiological transition for elderly suicide rates with four sequential stages was theoretically developed to simultaneously explain cross-national variations in elderly suicide rates, trends over time for elderly suicide rates, and age-associated trends in suicides rates reported in the literature (Shah and Bhat, Reference Shah and Bhat2009). This model was adapted from similar epidemiological transition models for dementia (Suh and Shah, Reference Suh and Shah2001) and other mental disorders in old age (Shah, Reference Shah2007). The four sequential stages in this model were as follows: low elderly suicide rate–low socio-economic society stage; high elderly suicide rate–low socio-economic society stage; high elderly suicide rate–high socio-economic society stage; and low elderly suicide rate–high socio-economic society stage. This model has subsequently been substantiated to be accurate using cross-sectional data on elderly suicide rates and two separate measures of socio-economic status in cross-national studies (Shah et al., Reference Shah, Bhat, MacKenzie and Koen2008; Shah, Reference Shah2010). The relationship between socio-economic status and suicide rates followed an inverted U-shaped curve defined by the quadratic equation Y = A + BXCX 2, where A, B, and C were constants, Y was the suicide rate, and X was a measure of socio-economic status.

A variant of this model was theoretically applied to the prevalence of dementia over a decade ago (Suh and Shah, Reference Suh and Shah2001). This original model of epidemiological transition in dementia has now been further developed using approaches from the above model for elderly suicides and emerging epidemiological data for dementia. It is likely that the concept of age, birth cohort membership, and the period of study discussed earlier may also be absorbed into this model.

The epidemiological transition model for dementia

There is wide variation in the prevalence of dementia across different countries (O’Connor, Reference O’Connor, Ames, Burns and O’Brien2010). This variation may be explained by methodological differences between different studies. However, as prevalence is a function of incidence and duration of illness, it is possible that some of the variation may be due to differing incidence and differing duration of illness, particularly in cross-national studies using identical methodology (Hendrie et al., Reference Hendrie, Osuntokun and Hall1995; Chandra et al., Reference Chandra1998; Prince et al., Reference Prince2012). As dementia is a progressive disorder, with little chance of recovery, the duration of illness can be represented by the duration of survival after the onset of dementia. Thus, the prevalence of dementia is a function of the incidence and the duration of survival after the onset of dementia.

This model was based on several theoretical assumptions:

  • Different countries will be at different stages of development within this model.

  • Each country would sequentially progress through the hypothetical four stages over time with progress in socio-economic development.

  • Both socio-economic status and the prevalence of dementia can be dichotomized into two groups: high and low.

  • Dementia is considered as a unitary diagnosis rather than a label for a heterogeneous group of disorders.

  • The theoretical concepts in this hypothesis essentially depend upon the prevalence of dementia being a function of the incidence of dementia and the duration of survival after the onset of dementia.

This hypothetical model is illustrated in Figure 1, whereby the relationship between socio-economic status (plotted on the X-axis) and the prevalence of dementia (plotted on the Y-axis) is shown to follow an inverted U-shaped curve (although, as discussed later, this may not necessarily be the case). Each of the four potential stages of this model is critically examined below.

Figure 1. Epidemiological transitions in dementia.

Stage 1. Low prevalence and low socio-economic society stage

Societies with low socio-economic status have poorly developed healthcare services (Jacob et al., Reference Jacob2007; Shah, Reference Shah2007; Reference Shah2009; Jacob, Reference Jacob2008; Shah et al., Reference Shah, Bhat, MacKenzie and Koen2008; Shah and Bhat, Reference Shah and Bhat2008a; Reference Shah and Bhat2008b). Poorly developed healthcare services may mediate an increase in child mortality rates by being unable to provide primary preventative measures for diseases in childhood (e.g. immunization programs) and general population mortality rates due to reduced treatment for diseases that are directly related to low socio-economic status (e.g. infectious diseases; Suh and Shah, Reference Suh and Shah2001). This will reduce life expectancy; there was a positive linear relationship between societal socio-economic status measured by gross national domestic product (GDP) and life expectancy (Shah, Reference Shah2007; Shah et al., Reference Shah, Bhat, MacKenzie and Koen2008). Given that dementia is an age-related disorder, reduced life expectancy will result in fewer people reaching the age of increased risk for developing dementia. Additionally, selective survival of those at reduced risk of dementia in old age, due to genetic or constitutional factors, may further compound this trend (Suh and Shah, Reference Suh and Shah2001). Moreover, there is evidence that in societies with low socio-economic status, adversity early in life affords a protective effect on suicides later in life (Seiden, Reference Seiden1981; McIntosh, Reference McIntosh1984; Lindesay, Reference Lindesay1991); it is possible that similar protective mechanisms may operate in dementia. These factors could lead to a low incidence of dementia in societies with low socio-economic status. Some of the lowest figures for the incidence of dementia were reported in India (Chandra et al., Reference Chandra, Pandav and Dodge2001) and Nigeria (Hendrie et al., Reference Hendrie, Ogunniyi and Hall2001). Studies from Brazil (Nitrini et al., Reference Nitrini2004) and China (Li et al., Reference Li1991) also reported low incidence rates. Similarly, the 10/66 incidence studies, using similar methodology across all studied countries and when using the less controversial DSM IV diagnosis of dementia, reported low incidence for dementia in several Latin American countries and China (Prince et al., Reference Prince2012).

The poorly developed health- and social care services (Jacob et al., Reference Jacob2007; Shah, Reference Shah2007, Reference Shah2009; Jacob, Reference Jacob2008; Shah et al., Reference Shah, Bhat, MacKenzie and Koen2008; Shah and Bhat, Reference Shah and Bhat2008a; Reference Shah and Bhat2008b) in low socio-economic countries reduce life expectancy (Shah, Reference Shah2007; Shah et al., Reference Shah, Bhat, MacKenzie and Koen2008). This impact is likely to be even greater among those with dementia. Mortality rates in dementia were increased in Nigeria and Brazil over five-year and three-year follow-up, respectively (Perkins et al., Reference Perkins2002; Nitrini et al., Reference Nitrini, Caramelli and Herrera2005). They were also increased in China and several Latin American countries (Prince et al., Reference Prince2012), and these mortality rates were higher than in developed countries (Dewey and Saz, Reference Dewey and Saz2001).

The combination of low incidence and shorter duration of survival after the onset of dementia will lead to a low prevalence of dementia. Very low prevalence rates for dementia have been reported in India (Chandra et al., Reference Chandra1998; Vas et al., Reference Vas2001) and Nigeria (Hendrie et al., Reference Hendrie, Osuntokun and Hall1995). Studies from Brazil (Nitrini et al., Reference Nitrini2004) and China (Li et al., Reference Li1991) also reported low prevalence rates. Similarly, the 10/66 studies, using identical methodology across the studied countries and when using the less controversial DSM IV diagnosis of dementia, also reported very low prevalence rates in several developing countries: urban Peru, 3.1%; rural Peru, 0.4%; rural Mexico, 2.2, rural China, 2.4%; urban India, 0.9%; and rural India, 0.8% (Llibre Rodriguez et al., Reference Llibre Rodriguez2008). The authors concluded that the DSM IV prevalence of dementia, when compared with pooled European data, was less than a quarter in India, about half in China, and about four-fifths in Latin America. Moreover, the prevalence rates were particularly low in rural areas. Such a society could be labeled as a low prevalence and low socio-economic society.

Stage 2. High prevalence and low socio-economic society stage

With improvement in the socio-economic status of countries, the degree of development of health- and social care services will also improve (Zhang, Reference Zhang1998; Jacob et al., Reference Jacob2007; Shah, Reference Shah2007, Reference Shah2009; Shah et al., Reference Shah, Bhat, MacKenzie and Koen2008; Shah and Bhat, Reference Shah and Bhat2008a; Reference Shah and Bhat2008b). This improvement in health- and social care services may facilitate reduction in child mortality rates because of improved ability to provide primary preventative measures for diseases in childhood (e.g. immunization programs) and general population mortality rates related to poor treatment of diseases that are directly related to low socio-economic status (e.g. infectious diseases; Suh and Shah, Reference Suh and Shah2001). This will lead to an increase in life expectancy; there was a positive linear relationship between societal socio-economic status measured by GDP and life expectancy (Shah, Reference Shah2007; Shah et al., Reference Shah, Bhat, MacKenzie and Koen2008). This, in turn, will result in greater number of participants reaching the age of increased risk for dementia. Moreover, the effects of selective survival of those at reduced risk of dementia in old age, due to genetic or constitutional factors, will be weakened (Suh and Shah, Reference Suh and Shah2001). This will lead to an increase in the incidence of dementia. The wide variation in the incidence of dementia using the less controversial DSM IV diagnosis across different Latin American countries and between urban and rural areas within the same country in the 10/66 study (Prince et al., Reference Prince2012) suggests that, even in socio-economically less-developed countries, improvement in socio-economic status is associated with an increase in the incidence of dementia. Furthermore, this improvement in health and social care is likely to increase the duration of survival after the onset of dementia. There was heterogeneity between mortality rates across different developing countries and between rural and urban sites in the 10/66 study (Prince et al., Reference Prince2012). This heterogeneity suggests that, even within socio-economic less-developed countries, improvement in socio-economic status is associated with reduced mortality in dementia. Both these factors will tend to increase the prevalence of dementia. The increased prevalence of dementia, and comparable to that in developed countries, in some Indian studies (Rajkumar and Kumar, Reference Rajkumar and Kumar1996, Reference Rajkumar and Kumar1998; Shaji et al., Reference Shaji, Bose and Verghese2005), Sri Lanka (De Silva et al., Reference De Silva, Gunatilake and Smith2003), and in some Latin American countries in the 10/66 prevalence studies (Llibre Rodriguez et al., Reference Llibre Rodriguez2008) suggests that there may be an association between improved socio-economic status and increasing prevalence of dementia. Such a society could be labeled as a high prevalence and low socio-economic society.

Stage 3. High prevalence and high socio-economic society stage

As societies develop, they are likely to change from being socio-economically less developed to being socio-economically more developed. Further improvement in health- and social care services may facilitate further reductions in child mortality rates because of improved ability to provide primary preventative measures for diseases in childhood (e.g. immunization programs) and general population mortality rates due to treatment of diseases that are directly related to low socio-economic status (e.g. infectious diseases; Suh and Shah, Reference Suh and Shah2001). This will lead to further increase in life expectancy. This, in turn, will result in increasing number of participants reaching the age of increased risk for dementia. This will also weaken any effect of selective survival of those at reduced risk of dementia due to constitutional or genetic factors. Thus, the incidence of dementia will increase. The incidence rate for DSM III R dementia was higher in Eurodem study (pooled data from Denmark, France, Netherlands, and United Kingdom; Launer et al., Reference Launer, Andersen and Dewey1999) compared to those for DSM IV dementia in the 10/66 study (Prince et al., Reference Prince2012). Furthermore, the improvement in the availability of health and social care is likely to increase the duration of survival after the onset of dementia. Relatively recent studies from high-income countries have reported higher survival duration than two decades ago (Williams et al., Reference Williams, Xiong, Morris and Galvin2006; Xie et al., Reference Xie, Brayne and Matthews2008). Both these factors will tend to increase the prevalence of dementia. The prevalence of dementia in high-income countries is generally higher than in low-income countries (Hendrie et al., Reference Hendrie, Osuntokun and Hall1995; Llibre Rodriguez et al., Reference Llibre Rodriguez2008). The prevalence of DSM IV dementia in a pooled study of 12 European countries (Lobo et al., Reference Lobo2000) was higher than that observed in Latin America, India, and China in the 10/66 study (Llibre Rodriguez et al., Reference Llibre Rodriguez2008). Comparatively high prevalence rates in Europe were also reported in another pooled study of 23 European data sets (Hofman et al., Reference Hofman1991). Such a society could be labeled as a high prevalence and high socio-economic society. It is likely that most high-income countries are currently at this stage of epidemiological transition because of reasons discussed next.

Stage 4. Variable prevalence and high socio-economic society stage

Theoretically, in socio-economically well-developed societies, due to improved health and social care leading to further reduction in child mortality rates and increase in life expectancy, greater number of people would reach the age of increased risk for dementia, and consequently lead to a higher incidence of dementia. This improvement in health and social care would also increase the duration of survival after the onset of dementia. Thus, the prevalence of dementia would increase further. However, the picture in socio-economically very well-developed societies is complex because such societies are much more likely to have developed primary preventative strategies. For example, in England and Wales there is a national Dementia Strategy, which incorporates many aspects of primary prevention; similar strategies have been developed in several high-income countries. Also, primary, secondary, and tertiary prevention programs for hypertension, heart disease, cerebrovascular disease, and diabetes are much more likely to be established in socio-economically well-developed countries; these are also likely to reduce the incidence of dementia further. Thus, the incidence of dementia may be reduced further by improved efforts to control the risk factors for dementia and enhance the protective factors for dementia. For example, the prevalence of dementia was a third less, despite an increase in the prevalence of stroke, in a Swedish birth cohort of 85-year-olds compared to a birth cohort of 85-year-olds from 20 years before (Skoog, Reference Skoog2012). At the same time, better provision of health and social care and advances in medical care may increase the duration of survival after the onset of dementia. In this scenario, the incidence of dementia and duration of survival after the onset would have opposite effects on the prevalence of dementia. Thus, the relative balance between the amount of reduction in the incidence and the amount of increase in the duration of survival after the onset would determine whether the prevalence would decrease, remain the same, or increase. Figure 2 illustrates the possible scenarios that may occur in this fourth stage. Such a society could be labeled as a variable prevalence and high socio-economic society. This last stage for dementia differs significantly from the last stage for elderly suicides as the prevalence of dementia may not continue to decline. It is unlikely that there are any countries at this stage of epidemiological transition in dementia.

Figure 2. Variations in epidemiological transitions in dementia.

The relationship between age, birth cohort and period effects, and epidemiological transition in dementia

It is possible that the effects of the socio-economic status hypothesized above may operate through the independent effects of age, birth cohort membership, and the time period studied. First, improvements in socio-economic status can increase life expectancy. Second, socio-economic status can shape both the early and current collective experiences of a birth cohort. Third, the prevailing socio-economic status at the time of the study may also be important. These three factors, in turn, may influence the prevalence of dementia. Alternatively, it is also possible that the independent effects of age, birth cohort membership, and the time period of study may operate through the epidemiological transition hypothesis.

Both these hypotheses, and their inter-relationship and the direction of this relationship as applied to dementia require rigorous testing. For the epidemiological transition hypothesis, ideally, a given country should be followed up over time as the socio-economic status improves, but this is not a practical option as several decades may be needed. The alternative is to examine this hypothesis in a cross-sectional study across different countries at varying stages of socio-economic development – a model used in elderly suicides. There are mathematical models to examine the first three stages and the different scenarios in the fourth stage.

Implications for service providers, service planners, and policy-makers

Both the hypotheses have important long-term implications for policy-makers, service providers, and service planners. These hypotheses, if substantiated, provide an evolving framework for estimating the scale of the burden of dementia over time as countries develop socio-economically. This, in turn, would allow policy-makers to develop long-term strategies that account for changes over time for primary prevention, early identification, and secondary and tertiary prevention, and treatment of dementia. Such strategies would allow service planners to constantly develop and evolve the provision of dementia services based on anticipated epidemiological changes and consequent disease burden. Moreover, service providers would have the ammunition to guide service planners, on an ongoing basis, to continually evolve the provision of services. This would enable the ambitions of the long-term strategies to become a reality. If such an ambitious longitudinal plan is not followed, the existing huge disparities across countries in the provision of services for dementia will continue and may even widen.

Conflict of interest

None.

References

Aevarsson, O. and Skoog, I. (2005). Dementia disorders in a birth cohort followed from age 85 to 88: the influence of mortality, refusal rate and diagnostic change on prevalence. International Psychogeriatrics, 9, 1123.Google Scholar
Borjesson-Hanson, I., Edin, E., Gislason, T. and Skoog, I. (2004). The prevalence of dementia in 95 year olds. Neurology, 63, 24362438.Google Scholar
Chandra, V.et al. (1998). Prevalence of Alzheimer's disease and other dementias in rural India. The Indo-US study. Neurology, 51, 10001008.Google Scholar
Chandra, V., Pandav, R. and Dodge, H. H. (2001). Incidence of Alzheimer's disease in a rural community in India: the Indo-US study. Neurology, 57, 985989.Google Scholar
De Silva, H. A., Gunatilake, S. B. and Smith, A. D. (2003). Prevalence of dementia in a semi urban population in Sri Lanka: reports from a regional survey. International Journal of Geriatric Psychiatry, 18, 711715.Google Scholar
Dewey, M. and Saz, P. (2001). Dementia, cognitive impairment and mortality in persons aged 65 and over living in the community: a systematic review of the literature. International Journal of Geriatric Psychiatry, 16, 751761.Google Scholar
Hendrie, H. C., Osuntokun, B. O. and Hall, K. S. (1995). Prevalence of dementia in two communities: Nigerian Africans and African Americans. American Journal of Psychiatry, 152, 14851492.Google Scholar
Hendrie, H. C., Ogunniyi, A. and Hall, K. S. (2001). Incidence of dementia and Alzheimer's disease in 2 communities: Yoruba residing in Ibadan, Nigeria and African Americans residing in Indianopolis, Indiana. Journal of the American Medical Association, 285, 739747.CrossRefGoogle Scholar
Hofman, A.et al. (1991). The prevalence of dementia in Europe: a collaborative study of 1980–1990 findings. International Journal of Epidemiology, 20, 736748.Google Scholar
Jacob, K. S. (2008). The prevention of suicide in India and the developing world: the need for population-based strategies. Crisis, 29, 102106.Google Scholar
Jacob, K. S.et al. (2007). Global mental health 4. Mental health systems in countries: where are we now? Lancet, 370, 10611077.Google Scholar
Jorm, A. F., Korten, A. E. and Henderson, A. S. (1987). The prevalence of dementia: a quantitative integration of the literature. Acta Psychiatrica Scandinavica, 76, 465479.Google Scholar
Launer, L. J., Andersen, K. and Dewey, M. E. (1999). Rates and risk factors for dementia and Alzheimer's disease: results from EURODEM pooled analysis. EURODEM Incidence Research Group and work Groups. Neurology, 52, 7884.Google Scholar
Li, G.et al. (1991). A three-year follow-up study of age-related dementia in an urban area of Beijing. Acta Psychiatrica Scandinavica, 83, 99104.Google Scholar
Lindesay, J. (1991). Suicide in the elderly. International Journal of Geriatric Psychiatry, 6, 355361.Google Scholar
Llibre Rodriguez, J. J.et al. (2008). Prevalence of dementia in Latin America, India, and China: a population-based cross sectional survey. Lancet, 372, 464474.Google Scholar
Lobo, A.et al. (2000). Prevalence of dementia and major sub-types in Europe. A collaborative study of population-based cohorts. Neurologic diseases in the Elderly Research Group. Neurology, 54, S4–S9.Google Scholar
McIntosh, J. L. (1984). Components of the decline in elderly suicides: suicide in young old and old old by race and sex. Death Education, 8, 113124.Google Scholar
Mitnitski, A. A., Bao, L. B., Skoog, I. C. and Rockwood, K. B. (2007). A cross-national study of transitions in deficit counts in two birth cohorts: implications for modelling ageing. Experimental Gerontology, 54, 975999.Google Scholar
Murphy, E., Lindesay, J. and Grundy, E. (1986). 60 years of suicide in England and Wales. A cohort analysis. Archives of General Psychiatry, 43, 969976.Google Scholar
Nitrini, R.et al. (2004). Incidence of dementia in a community-dwelling Brazilian population. Alzheimers Disease and Associated Disorders, 18, 241246.Google Scholar
Nitrini, R., Caramelli, P. and Herrera, E. (2005). Mortality from dementia in a community-dwelling Brazilian population. International Journal of Geriatric Psychiatry, 20, 247253.Google Scholar
O’Connor, D. (2010). Prevalence and incidence of dementia. In Ames, D., Burns, A. and O’Brien, J. (eds.), Dementia, 4th edn (pp. 2230). London: Hodder Arnold.Google Scholar
Perkins, A. S.et al. (2002). Risk of mortality for dementia in a developing country: the Yoruba in Nigeria. International Journal of Geriatric Psychiatry, 17, 566573.Google Scholar
Prince, M.et al. (2012). Dementia incidence and mortality in middle income countries, and associations with indicators of cognitive reserve: a 10/66 Dementia Research Group population-based cohort study. Lancet, 380, 5058.CrossRefGoogle Scholar
Rajkumar, S. and Kumar, S. (1996). Prevalence of dementia in the community: a rural urban comparison from Madras, India. Australasian Journal on Ageing, 15, 5761.Google Scholar
Rajkumar, S. and Kumar, S. (1998). Prevalence of dementia in a rural setting: a report from India. International Journal of Geriatric Psychiatry, 12, 702707.Google Scholar
Seiden, R. H. (1981). Mellowing with age: factors affecting the non-white suicide rate. International Journal of Ageing and Human Development, 13, 265284.CrossRefGoogle Scholar
Shah, A. K. (2007). The importance of socio-economic status of countries for mental disorders in old age: a development of an epidemiological transition model. International Psychogeriatrics, 19, 785787.Google Scholar
Shah, A. K. (2009). The relationship between socio-economic status and mental health funding, service provision and national policy: a cross-national study. International Psychiatry, 6, 4446.Google Scholar
Shah, A. K. (2010). The possible evidence for epidemiological transition hypothesis for elderly suicides. International Psychogeriatrics, 22, 219226.Google Scholar
Shah, A. K. and Bhat, R. (2008a). The relationship between elderly suicide rates and mental health funding, service provision and national policy: a cross-national study. International Psychogeriatrics, 20, 605615.Google Scholar
Shah, A. K. and Bhat, R. (2008b). Are elderly suicide rates improved by increased provision of mental health service resources? International Psychogeriatrics, 20, 12301237.Google Scholar
Shah, A. K. and Bhat, R. (2009). Development of an epidemiological transition model to explain cross-national variations in elderly suicide rates, time trends in elderly suicide rates and age-associated trends in suicide rates. Psychiatric Research Journal, 1, 241256.Google Scholar
Shah, A. K. and De, T. (1998). Suicide and the elderly. International Journal of Psychiatry in Clinical Practice, 2, 317.Google Scholar
Shah, A. K., Bhat, R., MacKenzie, S. and Koen, C. (2008). A cross-national study of the relationship between elderly suicide rates and life expectancy and markers of socio-economic status and healthcare status. International Psychogeriatrics, 20, 347360.Google Scholar
Shaji, S., Bose, S. and Verghese, A. (2005). Prevalence of dementia in an urban population in Kerala, India. British Journal of Psychiatry, 186, 136140.Google Scholar
Skoog, I. (2012). Vascular factors and dementia in the oldest old. Abstract. In Brain Ageing and dementia in developing countries. Nairobi, Kenya. December 2012.Google Scholar
Snowdon, J. and Hunt, G. E. (2002). Age, period and cohort effects on suicide rates in Australia 1919–1999. Acta Psychiatrica Scandinavica, 105, 265270.Google Scholar
Suh, G. K. and Shah, A. K. (2001). A review of the epidemiological transition in dementia: cross-national comparisons of the indices related to Alzheimer's disease and vascular dementia. Acta Psychiatrica Scandinavica, 104, 411.Google Scholar
Surtees, P. G. and Duffy, J. C. (1989). Suicide in England and Wales 1946–1985: an age, period and cohort analysis. Acta Psychiatrica Scandinavica, 79, 216223.Google Scholar
Vas, C. J.et al. (2001). Prevalence of dementia in an urban Indian population. International Psychogeriatrics, 13, 439450.Google Scholar
Williams, M. M., Xiong, C., Morris, J. C. and Galvin, J. E. (2006). Survival and mortality differences between dementia with Lewy bodies vs Alzheimer's disease. Neurology, 67, 19351941.Google Scholar
Xie, J., Brayne, C. and Matthews, F. (2008). Survival times in people with dementia: analysis from population based cohort study with 14 year follow-up. British Medical Journal, 336, 258Google Scholar
Zhang, J. (1998). Suicide in the world: toward a population increase theory of suicide. Death Studies, 22, 525539.Google Scholar
Figure 0

Figure 1. Epidemiological transitions in dementia.

Figure 1

Figure 2. Variations in epidemiological transitions in dementia.