Association between educational level and total and cause-specific mortality: a pooled analysis of over 694 000 individuals in the Asia Cohort Consortium
Ying Zhang,
Renwei Wang,
Jian-Min Yuan,
Yu Chen,
Yumi Sugawara,
Yasutake Tomata,
Ichiro Tsuji,
Paolo Boffetta,
Daehee Kang,
Chisato Nagata,
Mangesh S Pednekar,
John D Potter,
Keming Yang,
Eiko Saito,
Md Shafiur Rahman,
Prakash Chandra Gupta,
Norie Sawada,
Akiko Tamakoshi,
Yu-Tang Gao,
Woon-Puay Koh,
Xiao-Ou Shu,
Atsuko Sadakane,
San-Lin You,
Myung-Hee Shin,
Wen-Harn Pan,
Shoichiro Tsugane,
Hui Cai,
Yong-Bing Xiang,
Kotaro Ozasa,
Seiki Kanemura,
Keiko Wada,
Yoon-Ok Ahn,
Keun-Young Yoo,
Habibul Ahsan,
Kee Seng Chia,
Manami Inoue,
Hongmei Nan
Affiliations
Ying Zhang
University of Sydney, Sydney, New South Wales, Australia
Renwei Wang
5 Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania, United States
Jian-Min Yuan
Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
Yu Chen
17 Department of Population Health, Department of Environmental Medicine, New York University School of Medicine, New York City, New York, USA
Yumi Sugawara
11 Tohoku University Graduate School of Medicine, Sendai, Japan
Yasutake Tomata
11 Tohoku University Graduate School of Medicine, Sendai, Japan
Ichiro Tsuji
Division of Epidemiology, Department of Public Health and Forensic Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
Paolo Boffetta
2 Stony Brook University, Stony Brook, New York, USA
Daehee Kang
Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
Chisato Nagata
13 Department of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine, Gifu, Japan
Mangesh S Pednekar
Healis Sekhsaria Institute for Public Health, Navi Mumbai, Maharashtra, India
John D Potter
24 Centre for Public Health Research, Massey University, Wellington, New Zealand
Keming Yang
1 Department of Epidemiology, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana, USA
Eiko Saito
3 Division of Cancer Statistics Integration, Center for Cancer Control and Information Services, National Cancer Center, Tokyo, Japan
Md Shafiur Rahman
4 Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
Prakash Chandra Gupta
5 Healis - Sekhsaria Institute for Public Health, Navi Mumbai, India
Norie Sawada
Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
Akiko Tamakoshi
Department of Public Health, Hokkaido University, Sapporo, Hokkaido, Japan
Yu-Tang Gao
Shanghai Cancer Institute, Shanghai, China
Woon-Puay Koh
9 Health Services and Systems Research, Duke-NUS Medical School, Singapore
Xiao-Ou Shu
Vanderbilt University Medical Center, Nashville, Tennessee, USA
Atsuko Sadakane
12 Department of Epidemiology, Radiation Effects Research Foundation, Hiroshima, Japan
San-Lin You
14 School of Medicine, Big Data Research Centre, Fu-Jen Catholic University, Taipei, Taiwan
Myung-Hee Shin
16 Department of Social and Preventive Medicine, Sungkyunkwan University School of Medicine, Seoul, The Republic of Korea
Wen-Harn Pan
18 Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
Shoichiro Tsugane
Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
Hui Cai
10 Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA
Yong-Bing Xiang
8 State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
Kotaro Ozasa
12 Department of Epidemiology, Radiation Effects Research Foundation, Hiroshima, Japan
Seiki Kanemura
11 Tohoku University Graduate School of Medicine, Sendai, Japan
Keiko Wada
13 Department of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine, Gifu, Japan
Yoon-Ok Ahn
19 Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, The Republic of Korea
Keun-Young Yoo
20 Armed Forces Capital Hospital, Seoul National University College of Medicine, Seoul, The Republic of Korea
Habibul Ahsan
21 Department of Public Health Sciences, The University of Chicago, Chicago, Illinois, USA
Kee Seng Chia
Saw Swee Hock School of Public Health, National University of Singapore, Singapore
Manami Inoue
Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
Hongmei Nan
1 Department of Epidemiology, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana, USA
Objective To study the association of educational level and risk of death from all causes, cardiovascular disease (CVD) and cancer among Asian populations.Design A pooled analysis of 15 population-based cohort studies.Setting and participants 694 434 Asian individuals from 15 prospective cohorts within the Asia Cohort Consortium.Interventions None.Main outcome measures HRs and 95% CIs for all-cause mortality, as well as for CVD-specific mortality and cancer-specific mortality.Results A total of 694 434 participants (mean age at baseline=53.2 years) were included in the analysis. During a mean follow-up period of 12.5 years, 103 023 deaths were observed, among which 33 939 were due to cancer and 34 645 were due to CVD. Higher educational levels were significantly associated with lower risk of death from all causes compared with a low educational level (≤primary education); HRs and 95% CIs for secondary education, trade/technical education and ≥university education were 0.88 (0.85 to 0.92), 0.81 (0.73 to 0.90) and 0.71 (0.63 to 0.80), respectively (ptrend=0.002). Similarly, HRs (95% CIs) were 0.93 (0.89 to 0.97), 0.86 (0.78 to 0.94) and 0.81 (0.73 to 0.89) for cancer death, and 0.88 (0.83 to 0.93), 0.77 (0.66 to 0.91) and 0.67 (0.58 to 0.77) for CVD death with increasing levels of education (both ptrend <0.01). The pattern of the association among East Asians and South Asians was similar compared with ≤primary education; HR (95% CI) for all-cause mortality associated with ≥university education was 0.72 (0.63 to 0.81) among 539 724 East Asians (Chinese, Japanese and Korean) and 0.61 (0.54 to 0.69) among 154 710 South Asians (Indians and Bangladeshis).Conclusion Higher educational level was associated with substantially lower risk of death among Asian populations.