Literature DB >> 23583921

Cohort profile of the Japan Collaborative Cohort Study at final follow-up.

Akiko Tamakoshi1, Kotaro Ozasa, Yoshihisa Fujino, Koji Suzuki, Kiyomi Sakata, Mitsuru Mori, Shogo Kikuchi, Hiroyasu Iso, Fumio Sakauchi, Yutaka Motohashi, Ichiro Tsuji, Yosikazu Nakamura, Haruo Mikami, Michiko Kurosawa, Yoshiharu Hoshiyama, Naohito Tanabe, Koji Tamakoshi, Kenji Wakai, Shinkan Tokudome, Shuji Hashimoto, Yasuhiko Wada, Takashi Kawamura, Yoshiyuki Watanabe, Tsuneharu Miki, Chigusa Date, Yoichi Kurozawa, Takesumi Yoshimura, Akira Shibata, Naoyuki Okamoto, Hideo Shio.   

Abstract

The Japan Collaborative Cohort Study for Evaluation of Cancer Risk (JACC Study) was established in the late 1980s to evaluate the risk impact of lifestyle factors and levels of serum components on human health. During the 20-year follow-up period, the results of the study have been published in almost 200 original articles in peer-reviewed English-language journals. However, continued follow-up of the study subjects became difficult because of the retirements of principal researchers, city mergers throughout Japan in the year 2000, and reduced funding. Thus, we decided to terminate the JACC Study follow-up at the end of 2009. As a final point of interest, we reviewed the population registry information of survivors. A total of 207 (0.19%) subjects were ineligible, leaving 110 585 eligible participants (46 395 men and 64 190 women). Moreover, errors in coding date of birth and sex were found in 356 (0.32%) and 59 (0.05%) cases, respectively, during routine follow-up and final review. Although such errors were unexpected, their impact is believed to be negligible because of the small numbers relative to the large total study population. Here, we describe the final cohort profile at the end of the JACC Study along with selected characteristics of the participants and their status at the final follow-up. Although follow-up of the JACC Study participants is finished, we will continue to analyze and publish study results.

Entities:  

Mesh:

Year:  2013        PMID: 23583921      PMCID: PMC3700254          DOI: 10.2188/jea.je20120161

Source DB:  PubMed          Journal:  J Epidemiol        ISSN: 0917-5040            Impact factor:   3.211


INTRODUCTION

To evaluate the risk impact of lifestyle factors and levels of serum components on human health, in the late 1980s we established a large-scale cohort study, the Japan Collaborative Cohort Study for Evaluation of Cancer Risk (JACC Study). During a follow-up period of approximately 20 years, data on deaths from major causes such as stomach cancer, lung cancer, and cardiovascular diseases enabled examination of risk factors. We subsequently published results regarding associations between lifestyle factors and health status in almost 200 original research articles in peer-reviewed English-language journals. Additionally, we are currently developing a website to increase public awareness.[1] The enthusiasm of researchers is always important in promoting a cohort study, but enthusiasm is not enough since such work takes many years to bear fruit. A substantial budget is also required. The JACC Study was started after receiving a promise of funds for 10 years; however, after the initial 10 years had passed, it became necessary to apply for small public grants to maintain and follow cohort participants. In addition, administrative mergers of cities, towns, and villages throughout Japan in the year 2000 sometimes caused further difficulties in following subjects in the study area, due to changes in partnerships between local governmental offices and researchers. Moreover, with the retirement of key researchers, it was not always easy to transfer their work to their successors. As a result of these challenges, we decided to terminate follow-up of participants in the JACC Study at the end of 2009. As a final point of interest, we used population registers in the study area to review the list of survivors. Some subjects were found to be no longer living in the study area, although the overall number of such participants was small. Moreover, a small number of errors in the coding of date of birth and sex were identified during follow-up data collection. Here we describe the final cohort profile obtained upon completion of the JACC Study. Data on cancer incidence have not yet been compiled because of the time lag of the cancer registry system. This process is expected to continue until 2013, at which point incidence information until 2009 will be made available.

METHODS

Study subjects

Details of the study design and concept have been described elsewhere.[2]–[4] Briefly, the JACC Study was a multicenter collaborative study in which 24 institutions voluntarily participated. Recruitment of study subjects living in 45 areas was managed by individual investigators whose responsibility was to construct the cohort in that area. Data were collected from 1988 through 1990. However, although most baseline surveys were performed during this 3-year period, some subjects were recruited before and after this period because of the need for a preliminary study in 3 areas and later collaboration in 1 area. Individual informed consent before participation in the study was obtained in 36 of the 45 study areas (written consent in 35 areas and oral consent in 1 area); in the remaining 9 areas, group consent from the area leader was obtained. Participant eligibility was verified by individual investigators, who confirmed that (1) the participant was living within the study area and (2) was aged 40 to 79 years at baseline. In addition, date of birth and sex were further verified using official documents and/or a completed self-administered questionnaire.

Follow-up

As follow-up information, dates and causes of death were annually or biannually confirmed, with the permission of the Director-General of the Prime Minister’s Office (Ministry of Public Management, Home Affairs, Post and Telecommunications) and/or the Ministry of Health, Labor and Welfare, Japan. The date of move-out of cohort members from the study area was also annually or biannually verified by the investigator in cooperation with key members of the local governmental office. In 24 of the 45 areas, data on cancer incidence such as date of diagnosis and primary site were also collected through population-based cancer registers or by reviewing the records of local major hospitals. In most areas, follow-up was completed at the end of 2009; however, it was stopped at the end of 1999 in 4 areas, at the end of 2003 in another 4 areas, and at the end of 2008 in 2 areas.

Final data setup: correction of birth date and sex information, identification of decedents and subjects who had moved, and deletion of ineligible participants

To confirm if study participants had survived and were living in the study area at the end of follow-up, we conducted a systematic review of population registers of cohort members in 17 areas followed until 2009. In the remaining 18 areas followed until 2009, annual or biannual follow-up surveys were routinely performed using population registers; thus, no further reviews were conducted. If data from participants presumed to survive were found to be missing at the end of 2009, attempts were made to obtain information on their mortality status or current location, and relevant information was added to the follow-up data. A few participants were found to have never lived in the study area and were thus excluded from the baseline data. This review process revealed some errors in coding of date of birth and sex. Moreover, during the merge of follow-up data with baseline identifiable data (name, date of birth, and sex), further errors in date of birth and sex were found. All such errors were corrected.

RESULTS

Of 110 792 participants aged 40 to 79 years at baseline, 207 (0.19%) were found to have never lived in the study area. As a result, 110 585 participants (46 395 men and 64 190 women) were ultimately deemed eligible as subjects for the JACC Study, with 707 136 and 1 025 703 person-years of follow-up for men and women, respectively. Errors in the coding of date of birth and sex were found in 356 (0.32%) and 59 (0.05%) cases, respectively, during routine follow-up and final review. Table 1 shows the age and sex distribution of study participants. There were no subjects from the Shikoku region. As compared with the overall distribution of the Japanese population in 1989, our cohort participants were slightly older and included a higher percentage of women.
Table 1.

Age distribution of cohort members at baseline by region

  Age at baselineTotal%

40–4445–4950–5455–5960–6465–6970–7475–79
Men          
 Japan general population 1989 (×1000)5022456239673706312220491507116925 104 
  20.018.215.814.812.48.26.04.7100.0 
 
 JACC Study participants5991579463097690841555164021265946 395100.0
 %12.912.513.616.618.111.98.75.7100.0 
 
 Hokkaido191182211267284201864314653.2
 Tohoku80962579710501270894494293623213.4
 Kanto132512311219132014461115707447881019.0
 Chubu17361646156017631804116791669111 28324.3
 Kinki960908114814561419996651459799717.2
 Chugoku2203744528861251589770509505110.9
 Kyushu750828922948941554397217555712.0

Women          
 Japan general population 1989 (×1000)4989461340523852342628252141177027 668 
  18.016.714.613.912.410.27.76.4100.0 
 
 JACC Study participants75367912908810 79211 10285895548362364 190100.0
 %11.712.314.216.817.313.48.65.6100.0 
 
 Hokkaido310310433436382257933722583.5
 Tohoku9599631412167016701136604372878613.7
 Kanto14281438144216051744157789254210 66816.6
 Chubu187216691833193321071613122588213 13420.5
 Kinki12531219150817841566130087662310 12915.8
 Chugoku3007968281479219417951289844952514.8
 Kyushu14141517163218851439911569323969015.1
Table 2 shows the follow-up results, and Table 3 shows the major causes of death up to 2009. These values include the follow-up information (death or move-out from the study area) that was reported in 10 of 17 areas for 516 subjects (0.5%) through a systematic review of population registers of cohort members. Finally, 27 410 deaths (24.8%; 15 401 men, 12 009 women) and 6402 move-outs (5.8%; 2343 men, 4059 women) were identified during the median 18.0-year follow-up. The first cause of death was cancer among men (37.6%) and circulatory disease among women (33.7%), and the second cause of death was circulatory disease (27.8%) and cancer (30.8%), respectively (Table 3). Among those who died of cancer, the first, second, and third leading causes of death were cancer of the lung (23.2%), stomach (18.4%), and liver (10.7%) among men and cancer of the stomach (15.4%), lung (11.2%), liver, and pancreas (9.2% for both) among women. When cancers of the colon and rectum were grouped together, that category was the second leading cause of death (12.7%) among women.
Table 2.

Follow-up status until 2009 by sex and age

 Age at baselineTotal

40–4445–4950–5455–5960–6465–6970–7475–79
Men         
 No. at baseline5991579463097690841555164021265946 395
 No. of deaths39465811132000325230562782214615 401
 %6.611.417.626.038.655.469.280.733.2
 No. who left study area5393773032982922421801122343
 %9.06.54.83.93.54.44.54.25.1
 Person-years107 048102 338108 465124 421123 89674 26743 68923 012707 136
 Mortality rate (per 1000 person-years)3.76.410.316.126.241.163.793.321.8
Women         
 No. at baseline75367912908810 79211 10285895548362364 190
 No. of deaths2423686371218198225442632238612 009
 %3.24.77.011.317.929.647.465.918.7
 No. who left study area6054884795226065924832844059
 %8.06.25.34.85.56.98.77.86.3
 Person-years134 927139 091159 465182 347174 721125 51071 07638 5661 025 703
 Mortality rate (per 1000 person-years)1.82.64.06.711.320.337.061.911.7
Table 3.

Mortality distribution according to cause of death during entire follow-up period

Cause of deathMenWomen


Age at baselineTotal%%aAge at baselineTotal%%a


40–4445–4950–5455–5960–6465–6970–7475–7940–4445–4950–5455–5960–6465–6970–7475–79
All causes39465811132000325230562782214615 401100.0 2423686371218198225442632238612 009100.0 

A00–B99Certain infectious and parasitic diseases6101838566244332671.7 441831625043362482.1 

C00–D49Neoplasms16031254292714251073792561579237.6100.0147182319563740714618414369730.8100.0
 C15 Esophagus1214284255381710216 3.70153478735 0.9
 C16 Stomach3262871762521991511091068 18.4192633939112710476569 15.4
 C18 Colon1214364167594435308 5.3213294562656552333 9.0
 C19–C20 Rectum817265239302722221 3.898121835162611135 3.7
 C22 Liver and intrahepatic bile ducts214679128167776637621 10.7812296581773335340 9.2
 C23 Gall bladder1561617321212101 1.747111517283513130 3.5
 C24 Other and unspecified parts of biliary tract511113441422816188 3.238112231373723172 4.7
 C25 Pancreas1320295078634342338 5.8716264882666233340 9.2
 C33–C34 Lung27501142053642901811141345 23.21820395496787040415 11.2
 C50 Breast010000102 0.0282628372918179192 5.2
 C53 Cervic uteri           62105957549 1.3
 C54 Corpus uteri           2277934236 1.0
 C55 Uterus, part unspecified           23131398746 1.2
 C56 Ovary           138151622109598 2.7
 C61 Prostate24202168495956279 4.8           
 C64 Kidney0471214912462 1.100153115126 0.7
 C65–C67 Urothelial tract27131140313417155 2.710662114161478 2.1
 C82–C85 Non-Hodgkin’s lymphoma08172944201515148 2.65610252317127105 2.8
 C90 Multiple myeloma2741218129569 1.2449121515111080 2.2
 C92 Myeloid leukemia51011161779378 1.3144121598356 1.5

E00–E89Endocrine, nutritional and metabolic diseases8101729383527281921.2 24710364948431991.7 

G00–G99Diseases of the nervous system471719503918101641.1 141223442729131531.3 

I00–I99Diseases of the circulatory system86132252460857908919673428727.8 52701383065859131001978404333.7 
 I20–I25 Ischemic heart disease3445691241992041811471003  1183451105188176185758  
 I48 Atrial fibrillation and flutter004101925241597  10131621292697  
 I50 Heart failure7192656121151178153711  852244101180200239799  
 I60–I69 Cerebrovascular disease30441131943623894082851825  2443631302563934614071777  
 I71 Aortic aneurysm and dissection44122144403815178  2321722292813116  

J00–J99Diseases of the respiratory system144062219408501550500229414.9 3182367182281357354128510.7 
 J09–J18 Influenza and pneumonia620301152282733273271326  2111539110173247245842  
 J43 Emphysema0161958586444250  0002244416  

K00–K95Diseases of the digestive system283553788210980465113.3 11213545410691824133.4 
 K74 Fibrosis and cirrhosis of liver161627342013196151  1862322311910120  

N00–N99Diseases of the genitourinary system291433676867593192.1 231522517882813342.8 
 N17–N19 Acute kidney failure and chronic kidney disease27122250525253250  12121738506360243  

R00–R99Symptoms, signs, and abnormal clinical and laboratory findings, not elsewhere classified44672652991093072.0 111726841722345264.4 
 R54 Age-related physical debility000419378799246  00121871150224466  

S00–T88External causes7886113150170150126939666.3 22577297143147117737286.1 

 Others4131940735960343022.0 7131938599574783833.2 

aPercentage of deaths per neoplasm.

aPercentage of deaths per neoplasm.

DISCUSSION

This final profile of the JACC Study Group describes the number of participants and their follow-up status. During the median 18-year follow-up, we found errors in the coding of date of birth and sex data as well as incorrectly registered cases. Accordingly, we would advise future researchers planning a field study to thoroughly check participant eligibility and basic information such as date of birth and sex; this can be performed at least twice, by using a population register and a self-questionnaire. Although follow-up information was annually or biannually confirmed, 516 subjects who had died or moved out of the study area were not identified during routine follow-up. The use of population registers to verify that subjects are living in the study area is therefore necessary because it enables identification of deceased individuals and those who have moved out of the study area. Furthermore, 356 (0.32%) and 59 (0.05%) cases of incorrect coding of date of birth and sex, respectively, were found during routine follow-up and final review. Miscoding of data can occur by verification only once, and miscoding of date of birth and sex information may cause errors such as merging of the follow-up information of 1 participant with the baseline data of another participant. Thus, careful efforts such as independent double-entry are essential to reduce such miscoding. The JACC Study is one of the largest cohort studies in Japan. Selected characteristics of study participants were similar to those of the Japanese general population, and thus, the JACC Study can be regarded as representative of the Japanese population, though it should be noted that no subjects were recruited from the Shikoku region. Almost 200 original articles on the risk factors for cancer, cardiovascular disease, and other diseases have been published using the results of the JACC Study. It was not an easy task to establish and maintain such a large collaborative cohort study with a limited budget; the voluntary efforts of the collaborators were essential. Although unexpected errors were found, we believe that the impact of these errors was negligible because the number of ineligible cases and amount of missing data were small relative to the large total study population. Cohort studies need to continue over a long period if they are to yield fruitful results. Moreover, because all study participants must be followed up carefully and thoroughly, considerable funding is required. The JACC Study received systematic support for the first 10 years, at which point this funding ceased and maintenance and follow-up of cohort participants was accomplished by means of smaller grants. The retirements of principal researchers and city mergers throughout Japan made it difficult to continue follow-up. Thus, we decided to terminate the follow-up of participants in the JACC Study at the end of 2009. Our experience indicates that the development and maintenance of an appropriate long-term management system is essential when launching a cohort study and that adequate and steady support from funding bodies is also important. We would like to express our sincere thanks to all participants and researchers related to the JACC Study, and to all the funding bodies that supported our study. Hereafter, we plan to use the final dataset and remaining sera to examine the risk impact of lifestyle factors and levels of serum components on human health.
  3 in total

1.  Japan collaborative cohort study for evaluation of cancer risk sponsored by monbusho (JACC study).

Authors:  Y Ohno; A Tamakoshi
Journal:  J Epidemiol       Date:  2001-07       Impact factor: 3.211

2.  Overview of the Japan Collaborative Cohort Study for Evaluation of Cancer (JACC).

Authors:  Akiko Tamakoshi
Journal:  Asian Pac J Cancer Prev       Date:  2007

3.  Profile of the JACC study.

Authors:  Akiko Tamakoshi; Takesumi Yoshimura; Yutaka Inaba; Yoshinori Ito; Yoshiyuki Watanabe; Katsuhiro Fukuda; Hiroyasu Iso
Journal:  J Epidemiol       Date:  2005-03       Impact factor: 3.211

  3 in total
  55 in total

1.  Passive smoking and chronic obstructive pulmonary disease mortality: findings from the Japan collaborative cohort study.

Authors:  Shigekazu Ukawa; Akiko Tamakoshi; Hiroshi Yatsuya; Kazumasa Yamagishi; Masahiko Ando; Hiroyasu Iso
Journal:  Int J Public Health       Date:  2017-02-17       Impact factor: 3.380

2.  The SYNTAX score is correlated with long-term outcomes of coronary artery bypass grafting for complex coronary artery lesions.

Authors:  Yasunori Cho; Shinichiro Shimura; Akira Aki; Hidekazu Furuya; Kimiaki Okada; Toshihiko Ueda
Journal:  Interact Cardiovasc Thorac Surg       Date:  2016-03-16

3.  Super-additive associations between parity and education level on mortality from cardiovascular disease and other causes: the Japan Collaborative Cohort Study.

Authors:  Sumiyo Yasukawa; Eri Eguchi; Akiko Tamakoshi; Hiroyasu Iso
Journal:  BMC Womens Health       Date:  2022-07-06       Impact factor: 2.742

4.  Association between Dietary Manganese Intake and Mortality from Cardiovascular Disease in Japanese Population: The Japan Collaborative Cohort Study.

Authors:  Ouyang Meishuo; Ehab S Eshak; Isao Muraki; Renzhe Cui; Kokoro Shirai; Hiroyasu Iso; Akiko Tamakoshi
Journal:  J Atheroscler Thromb       Date:  2022-01-26       Impact factor: 4.394

5.  Impact of Body Mass Index on Obesity-Related Cancer and Cardiovascular Disease Mortality; The Japan Collaborative Cohort Study.

Authors:  Masaaki Matsunaga; Hiroshi Yatsuya; Hiroyasu Iso; Yuanying Li; Kazumasa Yamagishi; Naohito Tanabe; Yasuhiko Wada; Atsuhiko Ota; Koji Tamakoshi; Akiko Tamakoshi
Journal:  J Atheroscler Thromb       Date:  2021-12-08       Impact factor: 4.394

6.  Insulin-like growth factor-related components and the risk of liver cancer in a nested case-control study.

Authors:  Yasushi Adachi; Masanori Nojima; Mitsuru Mori; Yasutaka Matsunaga; Noriyuki Akutsu; Shigeru Sasaki; Takao Endo; Youichi Kurozawa; Kenji Wakai; Akiko Tamakoshi
Journal:  Tumour Biol       Date:  2016-09-23

7.  Skipping Breakfast and Risk of Mortality from Cancer, Circulatory Diseases and All Causes: Findings from the Japan Collaborative Cohort Study.

Authors:  Yae Yokoyama; Kazunari Onishi; Takenobu Hosoda; Hiroki Amano; Shinji Otani; Youichi Kurozawa; Akiko Tamakoshi
Journal:  Yonago Acta Med       Date:  2016-04-01       Impact factor: 1.641

8.  Body Mass Index and Mortality From Aortic Aneurysm and Dissection.

Authors:  Midori Takada; Kazumasa Yamagishi; Akiko Tamakoshi; Hiroyasu Iso
Journal:  J Atheroscler Thromb       Date:  2020-07-28       Impact factor: 4.928

9.  Ovarian cancer mortality among women aged 40-79 years in relation to reproductive factors and body mass index: latest evidence from the Japan Collaborative Cohort study.

Authors:  Md Mobarak Hossain Khan; Aklimunnessa Khan; Masahiro Nojima; Sadao Suzuki; Yoshihisa Fujino; Shinkan Tokudome; Koji Tamakoshi; Mitsuru Mori; Akiko Tamakoshi
Journal:  J Gynecol Oncol       Date:  2013-07-04       Impact factor: 4.401

10.  Association of Body Mass Index and Mortality in Japanese Diabetic Men and Women Based on Self-Reports: The Japan Collaborative Cohort (JACC) Study.

Authors:  Yasuhiko Kubota; Hiroyasu Iso; Akiko Tamakoshi
Journal:  J Epidemiol       Date:  2015       Impact factor: 3.211

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