Journal of Public Health and Epidemiology
Subscribe to JPHE
Full Name*
Email Address*

Article Number - 1C1E33C47249


Vol.6(10), pp. 302-315 , October 2014
DOI: 10.5897/JPHE2014.0628
ISSN: 2141-2316



Full Length Research Paper

Formula for mid-age of incidence from age-specific prevalence of chronic disease and its application



Koujirou Inoue
  • Koujirou Inoue
  • Maniwa Public Health Center of Okayama Prefectural Local Government, 591 Katuyama, Maniwa City, Okayama Prefecture, Japan.
  • Google Scholar







 Received: 12 February 2014  Accepted: 27 August 2014  Published: 31 October 2014

Copyright © 2014 Author(s) retain the copyright of this article.
This article is published under the terms of the Creative Commons Attribution License 4.0


 

This study was aimed to devise a theoretical formula for the mid-age of incidence (MAI) from the prevalence of age groups and to confirm its application. The formula was devised using the concept of lost years of health and then simulated. In the inhabitants’ survey, MAI was calculated from the prevalence of liver disease in the areas, and the main cause of disease was analyzed between those areas where MAI was lower than 2.5% of the distribution with significantly high prevalence (HL group) and those areas where MAI was higher than 2.5% of the distribution with significantly high prevalence (HU group). In the computer simulation, MAI was not much different or a little lower than the mid-age of occurrence. In addition, the sum of the incidence rates in the 1-year age groups approximately corresponded to the maximum prevalence within the age groups in the simulation. In the HL group, the main cause of liver disease was alcoholic liver injury; in the HU group, one cause was type C hepatitis, whereas for many others, it was advanced alcoholic liver injury. Thus, the HU and t HL groups were confirmed as active and quiescent areas, respectively. Investigating the cause or stage is considered to be useful in future studies.

 

Key words: Mid-age of incidence (MAI), Lost years of health, chronic disease, prevalence, age specific prevalence.

 

Romeder JM, McWhinnie JR (1977). Potential years of life between ages 1 and 70: An indicator of premature mortality for health planning. Int. J. Epidemiol. 6:143-151.
Crosserf
 
Armitage P, Berry G, Matthews JNS (2002). Rates and standardization. In: Statistical Methods in Medical Research Fourth ed. Blackwell Science, Massachusetts. pp. 659-667.
Crosserf
 
Inoue K (2000). Study of appropriate surveillance of health appraisal for communities. (Nippon Koshu Eisei Zasshi) Jpn. J. Public Health 47(6):493-507. (In Japanese)
Pubmed
 
Chin LC (1961). Standard error of the age-adjusted death rate, Vital statistics-special reports. U.S. Government Printing Office. 47(9):275-285.
 

Inoue K (2013). Formula for estimating the incidence of chronic diseases from prevalence, mortality, and other indices from survey. J. Pub. Health Epidemiol. 5(6):243-256.

View

 
Miller JC (1983a). The binomial distribution. In: Statistics for advanced level. Cambridge University Press, New York (NY). pp. 95-108.
 
Miller JC (1983b). Measures of central tendency. In: Statistics for advanced level. Cambridge University Press, New York (NY). pp. 31-32.
 
Miller JC (1983c). Standardization. In: Statistics for advanced level. Cambridge University Press, New York (NY). pp. 124-26.
 
Miller JC (1983d). Confidence limit. In: Statistics for advanced level. Cambridge University Press, New York (NY). pp. 215-225.
 
Miller JC (1983e). Significance of proportion (large samples). In: Statistics for advanced level. Cambridge University Press, New York. pp. 239-240.
 
Tanaka Y, Hanada K, Orito E, Akahane Y, Chayama K, Yoshizawa H, Sata M, Ohta N, Miyakawa Y, Gojobori T, Mizokami M (2005). Molecular evolutionary analyses implicate injection treatment for schistosomiasis in the initial hepatitis C epidemics in Japan. J. Hepatol. 42(1):47-53.
Crosserf
 
Truett J, Cornfield J, Kannel W (1967). A Multivariate Analysis of the Risk of Coronary Heart Disease in Framingham. J. Chronic Dis. 20:511-524.
Crosserf
 
Wade SS, Joey D, English S (1996). Claiborne Johnston. Alcoholic liver injury. In: Harrison's Principles of Internal Medicine. 17th ed. McGraw-Hill Medical, New York. 2513 pp.
 
Oiso T (1975). Incidence of stomach cancer and its relation to dietary habits and nutrition in Japan between 1900 and 1975. Cancer Res. 35(11):3254-8.
Pubmed
 
Ueshima H, Iida M, Shimamoto T, Konishi M, Tanigaki M, Doi M, Nakanishi N, Takayama Y, Ozawa H, Komachi Y (1982). Dietary intake and serum total cholesterol level: their relationship to different lifestyles in several Japanese populations. Circulation 66(3):519-26.
Crosserf
 
Kuratsune M, Honda T, Englyst HN, Cummings JH (1985). Dietary fibre in the Japanese diet. Princess Takamatsu Symp. 16:247-53.
Pubmed
 
Kato I, Tominaga S, and Kuroishi T (1987). Per capita food/nutrient intake and mortality from gastrointestinal cancers in Japan. Jpn. J. Cancer Res. 78(5):453-9.
Pubmed
 
Eugene PF (1989). Approach to the management of polycythemia. In: Textbook of internal medicine. Lippincott Company, New York. 1322 pp.
 
John WA (2001). Iron deficiency and other hypoproliferative anemias. In: Harrison's principles of international medicine 15th ed. McGraw-Hill, New York. pp.660-66.
 
Charles HH (2001). Malnutrition and nutritional assessment. In: Harrison's principles of international medicine 15th ed. McGraw-Hill, New York. pp. 455-57.
 
Armitage P, Berry G, Matthews JNS (2002). Rates and standardization. In: Statistical Methods in Medical Research. 4th ed. Blackwell Science, Massachusetts. pp. 659-667.
Crosserf
 
Miller JC (1983f). Joint distribution. In: Statistics for advanced level. Cambridge University Press, New York. pp. 140-150.
 
Statistics and Information Department, Minister's Secretariat, Ministry of Health, Labour and Welfare, Japanese Government (2009). Trends in the life expectancies at particular ages and sex, 1947-2007. In: Statistical Abstracts on Health and Welfare in Japan 2008. International Corporation of Welfare Services, Tokyo. 57 pp.

 


APA Koujirou, I., (2014). Formula for mid-age of incidence from age-specific prevalence of chronic disease and its application. Journal of Public Health and Epidemiology, 6(10), 302-315.
Chicago   Koujirou Inoue. "Formula for mid-age of incidence from age-specific prevalence of chronic disease and its application." Journal of Public Health and Epidemiology 6, no. 10 (2014): 302-315.
MLA   Koujirou Inoue. "Formula for mid-age of incidence from age-specific prevalence of chronic disease and its application." Journal of Public Health and Epidemiology 6.10 (2014): 302-315.
   
DOI 10.5897/JPHE2014.0628
URL http://academicjournals.org/journal/JPHE/article-abstract/1C1E33C47249

Subscription Form