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A Descriptive Study of Health, Lifestyle and Sociodemographic Characteristics and their Relationship to Known Dementia Risk Factors in Rural Victorian Communities

  • Received: 01 July 2015 Accepted: 14 August 2015 Published: 18 August 2015
  • It is essential to determine the key health risk factors among populations to specifically plan future services and explore interventions that modify risk factors for communities. This aims to reduce risks and delay the onset of chronic conditions, which frequently results in dementia, particularly for small rural communities which experience health workforce shortages, a higher proportion of those in the chronic conditions age group, and reduced access to care. The aim of the study was to determine existing rates of chronic disease, and current lifestyle and sociodemographic factors which may predispose the population to higher risk of dementia. Residents from three shires in rural Victoria, Australia were recruited by random and non-random sampling techniques to complete a survey regarding health perceptions, pre-existing illnesses, health behaviors and social activity in their community. A total of 1474 people completed the survey. Positive factors reported were social participation and low rates of smoking. Negative factors included low rates of physical activity, high rates of obesity and high rates of chronic conditions that indicate significant risk factors for dementia in these communities. Although some factors are modifiable, these communities also have a large population of older residents. This study suggests that community interventions could modify lifestyle risk factors in these rural communities. These lifestyle factors, age of residents and the current chronic conditions are also important for rural service planning to increase preventive actions, and warn of the likely increase in the number of people developing chronic conditions with predispositon to dementia.

    Citation: Kaye Ervin, Julie Pallant, Daniel R. Terry, Lisa Bourke, David Pierce, Kristen Glenister. A Descriptive Study of Health, Lifestyle and Sociodemographic Characteristics and their Relationship to Known Dementia Risk Factors in Rural Victorian Communities[J]. AIMS Medical Science, 2015, 2(3): 246-260. doi: 10.3934/medsci.2015.3.246

    Related Papers:

  • It is essential to determine the key health risk factors among populations to specifically plan future services and explore interventions that modify risk factors for communities. This aims to reduce risks and delay the onset of chronic conditions, which frequently results in dementia, particularly for small rural communities which experience health workforce shortages, a higher proportion of those in the chronic conditions age group, and reduced access to care. The aim of the study was to determine existing rates of chronic disease, and current lifestyle and sociodemographic factors which may predispose the population to higher risk of dementia. Residents from three shires in rural Victoria, Australia were recruited by random and non-random sampling techniques to complete a survey regarding health perceptions, pre-existing illnesses, health behaviors and social activity in their community. A total of 1474 people completed the survey. Positive factors reported were social participation and low rates of smoking. Negative factors included low rates of physical activity, high rates of obesity and high rates of chronic conditions that indicate significant risk factors for dementia in these communities. Although some factors are modifiable, these communities also have a large population of older residents. This study suggests that community interventions could modify lifestyle risk factors in these rural communities. These lifestyle factors, age of residents and the current chronic conditions are also important for rural service planning to increase preventive actions, and warn of the likely increase in the number of people developing chronic conditions with predispositon to dementia.



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    [1] Stone G, Packer T (2010) Evaluation of a rural chronic disease self management program. Int Electro J Rural Remote Health 10(1203).
    [2] Alzheimers Disease International. (2014) Dementia and risk reduction. An analysis of protective and modifiable factors. World Alzheimers Report 2014.
    [3] Schrijvers EMC. (2011) Biomarkers and Risk Factors of Dementia. The Netherlands: Erasmus University Rotterdam.
    [4] Prince M, Bryce R, Albanese E, et al. (2013) The global prevalence of dementia: a systematic review and metaanalysis. Alzheimer's Dementia 9(1): 63-75.e2.
    [5] Harding R, Gao W, Jackson D, et al. (2015) Comparative analysis of informal caregiver burden in advanced cancer, dementia and acquired brain injury. J Pain Symp Manag.
    [6] Hutchinson K, Roberts C, Kurrle S, et al. (2014) The emotional well-being of young people having a parent with younger onset dementia. Dementia.
    [7] Alzheimer's Disease International. (2012) National Alzheimer and Dementia Plans Planned Policies and Activities. Conference proceedings, London, April 2012.
    [8] Gillings D (2014) World Dementia Envoy opening the Global Dementia Legacy Event 19th June 2014. http://dementiachallengedhgovuk.
    [9] Alzheimers Australia. (2014) Dementia Statistics for Victoria. https://vicfightdementiaorgau/vic/research-and-publications/reports-and-publications/dementia-statistics-for-victoria.
    [10] Deloitte Access Economics. (2013) Dementia Prevalence Data Alzheimers Australia https://vicfightdementiaorgau/vic/research-and-publications/reports-and-publications/dementia-statistics-for-victoria).
    [11] Victoria SGo (2013) Regional Health Status Profiles 2011-2012. Melbourne, Victoria, Australia: State Government of Victoria, Department of Health; Contract No.: Document Number.
    [12] Leung B, McDonald S, Kaplan B, et al. (2013) Comparison of sample characteristics in two pregnancy cohorts: community-based versus population-based recruitment methods. BMC Med Res Methodol 13(49).
    [13] Manca D, O'Beirne M, Lightbody T, et al. (2013) The most effective strategy for recruiting a pregnancy cohort: a tale of two cities. BMC Pregna Childbirth 13(75).
    [14] Sanders K, Stuart A, Merriman E, et al. (2009) Trials and tribulations of recruiting 2,000 older women onto a clinical trial investigating falls and fractures: Vital D study. BMC Med Res Methodol 9(78).
    [15] Simmons D (2005) Characteristics of hypertensive patients and their management in rural Australia. J Hum Hypertens 19(6): 497-499.
    [16] Australian Government Department of Health. (2013) Clinical Practice Guidelines for the Management of Overweight and Obesity in Adults, Adolescents and Children in Australia. http://wwwhealthgovau/internet/main/publishingnsf/Content/obesityguidelines-indexhtm.
    [17] Munro BH (2005) Statistical methods for health care research. 5th ed. Philadelphia: Lippincott Williams & Wilkins.
    [18] Cohen J (1988) Statistical power analysis for behavioural sciences. 2nd ed(Hillsdale, NJ.).
    [19] Mortimer J (1988) Do psychosocial risk factors contribute to Alzheimer's disease? Etiology of dementia of Alzheimer's type.
    [20] Stern Y, Gurland B, Tatemichi T, et al. (1994) Influence of education and occupation on the incidence of Alzheimer's disease. JAMA 271(13): 1004-1010.
    [21] Stern Y (2012) Cognitive reserve in ageing and Alzheimer's disease. Lancet Neurology 11(11): 1006-1012.
    [22] Mortimer J, Graves A (1993) Education and other socioeconomic determinants of dementia and Alzheimer's disease. Neurology 1993.
    [23] Australian Bureau of Statistics. (2011) Census of Population and Housing 2006 and 2011. profileid.
    [24] Braak H, Braak E, Bohl J, et al. (1998) Evolution of Alzheimer's disease related cortical lesions. J Neural Transmis Suppl 54: 97-103. doi: 10.1007/978-3-7091-7508-8_9
    [25] Vieira R, Caixeta L, Machado S, et al. (2013) Epidemiology of early-onset dementia: a review of the literature. Clin Prac Epidemiol Mental Health 9: 88-95. doi: 10.2174/1745017901309010088
    [26] Department of Health. (2013) 2012 Regional health status profiles—Hume Region. Melbourne, Victoria: Department of Health.
    [27] Chang C, Zhao Y, Lee C, et al. (2012) Smoking, death and Alzheimer's disease: a case of competing risks. Alzheimer Dis Assoc Disord 26(4): 300-306.
    [28] Letenneur L, Larrieu S, Barberger-Gateau P (2004) Alcohol and tobacco consumption as risk factors of dementia: a review or epidemiological studies. Biomed Pharmacotherapy 58(2): 95-99.
    [29] Ronskley P, Brien S, Turner B, et al. (2011) Association of alcohol consumption with selected cardiovascular disease outcomes: a systematic review and meta-analysis. BMJ 324: 671.
    [30] Grimm P (2010) Social Desirability Bias. Marketing Research 2
    [31] Centres for Disease Control and prevention. (2014) How much physical activity to adults need? http://wwwcdcgov/physicalactivity/everyone/guidelines/adultshtml.
    [32] Victorian Government Department of Health. (2012) 2012 regional health status profiles. Hume region. State Government of Victoria.
    [33] Lui-Ambrose T (2012) Impact of regular exercise on cognitive function. Second International Conference on Aging—5-6th November 2012; Vancouver, Canada.
    [34] Kahn E, Ramsey L, Brownson R, et al. (2002) The effectiveness of interventions to increase physical activity: a systematic review. Am J Prevent Med 22.
    [35] Rolland Y, Abellan van Kan G, Vellas B (2008) Physical activity and Alzheimer's disease: from prevention to therapeutic perspectives. J A Med Dir Assoc 9(6): 390-405.
    [36] Tonts M (2005) Competitive sport and social capital in rural Australia. J Rural Studies21: 137-149.
    [37] Fabrigoule C, Letenneur L, Dartigues J, et al. (1995) Social and leisure activities and risk of dementia: a prospective longitudinal study. J Am Geriatrics Soc 43(5): 485-490.
    [38] Sattler C, Toro, Schonknecht P, et al. (2012) Cognitive activity, education and socioeconomic status as preventive factors for mild cognitive impairment and Alzheimers disease. Psychiat Res 196(1): 90-95.
    [39] Holt-Lunstad J, Smith T, Bradley Layton J (2010) Social relationships and mortality risk: a meta-analytic review. PLoS Med 7(DOI:10.1371/journal.pmed.1000316).
    [40] Hodge A, English D, Giles G, et al. (2013) Social connectedness and predictors of successful ageing. Maturitas 2013;doi.org/10.1016/j.maturitis.2013.05.002.
    [41] Bennett S, Thomas J (2014) Depression and dementia: Cause, consequence or coincidence? Mauritas
    [42] Boland R (2000) Depression in Alzheimer's disease and other dementias. Curr Psychiat Reports 2(5): 427-433.
    [43] Breno S, Diniz M, Butters S, et al. (2013) The British Journal of psychiatry late-life depression and risk of vascular dementia and Alzheimer's disease: systematic review and meta-analysis of community-based cohort studies 202(5): 329-335.
    [44] Butters M, Young J, Lopez O, et al. (2008) Pathways linking late-life depression to persistent cognitive impairment and dementia. Dialogues Clin Neurosci: 354-357.
    [45] Bretler M, Claus J, Grobbee D, et al. (1994) Cardiovascular disease and distribution of cognitive function in elderly people: the Rotterdam study. BMJ 308(6944): 1604-1608.
    [46] Skoog I, Lernfelt B, Landahl S, et al. (1996) 15-year longitudinal study of blood pressure and demnetia. Lancet 347(9009): 1141-1145.
    [47] Baker IDI Heart & Diabetes Institute. (2012) Diabetes:the silent pandemic and its impact on Australia. http://wwwdiabetesvicorgau/images/stories/PDF_files/2012/120314_Diabetes_management_booklet_FINALpdf.
    [48] Australian Communications and Media Authority. (2009) Convergence and Communications. Report 1: Australian household consumers' take-up and use of voice communications services. Australian Government;Canberra.
    [49] Sivo S, Saunders C,Chang Q, et al. (2006) How low should you go? Low response rates and the validity of inference in is questionnaire research journal of the association for information systems 7(6): 351-414.
    [50] Kelley K, Clark B, Brown V, et al. (2003) Good practice in the conduct and reporting of survey research. Int J Qual Health Care. DOI: http://dx.doi.org/10.1093/intqhc/mzg031
    [51] Kelly B, Fraze T, Hornik R (2010) Response rates to a mailed survey of a representative sample of cancer patients randomly drawn from the Pennsylvania Cancer Registry: a randomized trial of incentive and length effects. BMC Med Res Methodol 10(65).
    [52] Welch W, Barlau A (2014) Addressing Survey Nonresponse Issues: implications for ATE principal investigators, evaluators, and researchers. Nat Sci Founda.
    [53] Australian Bureau of Statistics. (2014) Patient Experiences in Australia: Summary of Findings, 2013-14 http://wwwabsgovau/ausstats/abs@nsf/mf/48390?OpenDocument.
    [54] Australian Institute of Health and Welfare A, Canberra. Rural, regional and remote Health—Indicators of health system performance. Rural Health Series, AIHW, Canberra. 2008;10(PHE103).
    [55] Letvak S (2002) The importance of social support for rural mental health. Mental Health Nursing 23(3): 249-261
    [56] Rowe J, Kahn R (1997) Successful aging. Gerontologist 37: 433-440.
    [57] Chau J (2007) Physical Activity and Building Stronger Communities. NSW centre for physical activity and health. Premier's Council for Active Living. Report No. CPAH07-001.
    [58] Centers for Disease Control and Prevention. (2011) Strategies to Prevent Obesity and Other Chronic Diseases: The CDC Guide to Strategies to Increase Physical Activity in the Community. US Department of Health and Human Services Atlanta.
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