Literature DB >> 31560151

Health status of workers approximately 60 years of age and the risk of early death after compulsory retirement: A cohort study.

Masaru Sakurai1,2, Masao Ishizaki1,2, Katsuyuki Miura3, Motoko Nakashima4, Yuko Morikawa5, Teruhiko Kido6, Yuchi Naruse7, Kazuhiro Nogawa8, Yasushi Suwazono8, Koji Nogawa8, Hideaki Nakagawa9.   

Abstract

OBJECTIVES: The increasing number of working elderly people has enhanced the importance of workplace health promotion activities. We investigated the association between the health status of workers approximately 60 years of age and the risk of all-cause mortality after compulsory retirement in Japan.
METHODS: The 2026 participants (1299 males and 727 females) had retired from a metal-products factory at ≥60 years of age. Baseline health examinations were conducted at 60 years of age and included questions about medical history and lifestyle factors; the participants also underwent a physical examination. The participants were followed up annually by mail for an average of 7.4 years. The association between health status at age 60 years and the risk of all-cause mortality was assessed by Cox proportional hazards regression analysis.
RESULTS: During the study, 71 deaths were reported. The age- and sex-adjusted hazard ratio (HR [95% confidence interval]) for all-cause mortality was higher for males (HR, 3.41 [1.73-6.69]) compared with females, participants with a low body mass index (<18.5 kg/m2 ; HR 3.84 [1.91-7.73]) compared with normal body weight, smokers (HR, 2.63 [1.51-4.58]) compared with nonsmokers, and those with three or more of four metabolic abnormalities (obesity, high blood pressure, dyslipidemia, and glucose intolerance) (HR 2.29 [1.04-5.02]) compared with no metabolic abnormalities. The associations were unaffected by adjustment for these factors.
CONCLUSION: Maintenance of an appropriate body weight, smoking cessation, and elimination of metabolic syndrome are required for older workers to prevent early death after retirement.
© 2019 The Authors. Journal of Occupational Health published by John Wiley & Sons Australia, Ltd on behalf of The Japan Society for Occupational Health.

Entities:  

Keywords:  all-cause mortality; cohort study; compulsory retirement; elderly workers; risk factor

Mesh:

Year:  2019        PMID: 31560151      PMCID: PMC6970400          DOI: 10.1002/1348-9585.12088

Source DB:  PubMed          Journal:  J Occup Health        ISSN: 1341-9145            Impact factor:   2.708


INTRODUCTION

In Japan the retirement age is 60 years, and 79% of companies comply with the uniform‐age retirement system.1 The proportions of elderly in the labor force in 2015 were 64% (early 60s) and ~43% (late 60s).2 Furthermore, approximately 70% of people wish to continue working after 65 years of age.3 Employment of retiring older workers is needed by both employers and employees, and enterprises with compulsory retirement at <65 of age are required to provide continuous employment until age 65 years. Because the prevalence of lifestyle‐related diseases increases after middle age, healthcare for people around the age of retirement is important. In Japan, medical checkups and the health‐guidance system provided by health insurers, and the Collabo‐Health healthcare system provided by employers in collaboration with health insurers, promote maintenance of the health of middle‐aged and elderly workers. Furthermore, municipal healthcare providers regard healthcare for older people around the age of compulsory retirement as important, because following compulsory retirement, elder retirees join the National Health Insurance system provided by municipalities. The demand for healthcare services for older people in communities in cooperation with the work site has increased. Previous studies have indicated that the risk of mortality for healthy retirees is associated with the age of retirement,4, 5, 6 social engagement,7, 8 relative poverty,8 and subjective life expectancy.9 Changes in lifestyle after retirement may also affect mortality. Previous studies have indicated that physical activity,10, 11, 12 particularly leisure time physical activity,13, 14 increases after retirement. However, alcohol intake 11, 14 and the prevalence of lifestyle diseases 12 remain unchanged after retirement, and the effect of retirement on smoking is controversial.11, 12, 14, 15, 16, 17 Retirement may also increase depressive symptoms.18 The transition to retirement can have a major influence on people's health behaviors, health, and quality of life, and could also be an opportunity to intervene with health‐promoting activities. However, the types of lifestyle interventions that are effective in improving the longevity of older workers around the age of compulsory retirement are not fully established. In this study, we evaluated the risk of early death after retirement among former employees of a factory in Japan who retire at approximately 60 years of age.

PARTICIPANTS AND METHODS

Participants

The participants were retirees from a factory that produces zippers and aluminum sashes in Toyama Prefecture, Japan. In the factory, 46% of the employees were white‐collar workers (administrators, managers, clerical workers, and professional workers) and 53% were blue‐collar workers (operation of machinery, processing or construction of aluminum products, and other manual work). Details of this study population have been reported previously.19, 20, 21 The retirement age at the factory is 60 years. Employees who went through mandatory retirement between 2003 and 2016 were enrolled. Baseline data from a health examination at approximately 60 years of age (58‐62 years) were obtained retrospectively. Among the 2061 potential participants (1331 males and 730 females), 35 (1.6%) were excluded because of death (n = 18), missing baseline health data (n = 14), or no response to the annual follow‐up survey (n = 3). Therefore, a total of 2026 individuals (1299 males and 727 females) were enrolled in this study.

Baseline examination

The baseline health parameters of the participants before retirement at approximately 60 years of age (58‐62 years) were evaluated. The Industrial Safety and Health Law in Japan requires employers to carry out annual health examinations for all employees. The annual health examination is carried out by trained staff and includes a medical history, physical examination, anthropometric measurements, and measurement of fasting plasma glucose (FPG), HbA1c, and serum lipid levels. Height was measured without shoes to the nearest 0.1 cm using a stadiometer. Weight was measured with participants wearing only light clothing and no shoes to the nearest 0.1 kg using a standard scale. Body mass index (BMI) was calculated as weight/height2 (kg/m2). Blood pressure (BP) was measured using a mercury sphygmomanometer after the participant had rested for 5 minutes in a seated position. The FPG level was measured enzymatically using the Abbott Glucose UV Test (Abbott Laboratories). The HbA1c level was measured by high‐performance liquid chromatography using a fully automated analyzer (Kyoto Daiichi Kagaku). The total cholesterol and triglyceride levels were assessed by enzymatic assay, and the high‐density lipoprotein cholesterol level was measured using a direct method. The low‐density lipoprotein cholesterol level was calculated using Friedewald's formula when the triglyceride level was <400 mg/dL.22 A questionnaire was used to evaluate the voluntary health‐related behaviors of alcohol consumption, smoking, and exercise habits. A self‐administered questionnaire was used to collect information regarding the histories of hypertension, dyslipidemia, and diabetes. High BP, dyslipidemia, and a high FPG level were defined using the Japanese criteria for metabolic syndrome.23 High BP was defined as a systolic BP ≥130 mmHg, a diastolic BP ≥85 mmHg, or the use of antihypertensive medication. Dyslipidemia was defined as a serum triglyceride level ≥150 mg/dL, a high‐density lipoprotein cholesterol level <40 mg/dL, or the use of medication for dyslipidemia. A high FPG level was defined as an FPG level ≥110 mg/dL, an HbA1c level ≥6.0%, or the use of antidiabetic medication.

Follow‐up survey

There is an organization for retirees from the factory who have completed at least 35 years of service; more than 90% of retirees are members. We obtained from the organization annually a list of the members who had died during the previous year. Additionally, we mailed a questionnaire survey annually to those retirees who retired after 1990. The questionnaire inquired about various measures of health status, such as cardiovascular disease and treatment of lifestyle‐related diseases. We mailed the questionnaire beginning in 2003, when the number of recipients was 1204; this number had increased to 3394 in 2017. The mean response rate was 87.6% (range, 65.7‐91.9%). The death of the participant was confirmed by a response from a family member.

Statistical analysis

To analyze all‐cause mortality, the standardized mortality ratio (SMR) was calculated after adjustment for age using the age distribution and death rate per decade of the general Japanese population during the observation period as the standard population. The associations between baseline characteristics and all‐cause mortality were evaluated by Cox's proportional hazard model after adjustment for age and sex, after adjustment for variables significantly associated with all‐cause mortality in the age‐ and sex‐adjusted models, and after adjustment for alcohol drinking and exercise habits. As a sensitivity analysis, we evaluated the associations between baseline characteristics and all‐cause mortality among males and after exclusion of participants who died within 3 years of follow‐up.

RESULTS

The baseline characteristics of the participants are shown in Table 1. The mean (standard deviation, SD) age of the participants at baseline was 59.7 (0.7) years for males and 59.4 (0.8) years for females. During the follow‐up (total, 15 044 person‐years; mean, 7.4 years; range, 1‐13 years), we documented 71 deaths (61 males and 10 females); 54 were reported by retiree organizations and 17 by the participants’ families. The all‐cause mortality rate of the participants was 4.0/1000 person‐years.
Table 1

Baseline characteristics of the study participants

 TotalMalesFemales
N20261299727
Age (y)59.6 ± 0.859.7 ± 0.759.4 ± 0.8
Body mass index (kg/m2)23.1 ± 3.123.3 ± 2.922.8 ± 3.4
Systolic blood pressure (mmHg)126.6 ± 18.7127.5 ± 17.8125.0 ± 20.1
Diastolic blood pressure (mmHg)78.9 ± 11.780.5 ± 11.175.9 ± 12.0
Triglycerides (mg/dL)95 (67‐136)102 (71‐150)83 (62‐112)
HDL‐cholesterol (mg/dL)60.8 ± 15.358.4 ± 15.365.1 ± 14.5
LDL‐cholesterol (mg/dL)130.1 ± 13.2124.0 ± 29.7141.0 ± 30.9
Fasting plasma glucose (mg/dL)102.7 ± 21.6105.8 ± 24.297.3 ± 14.5
HbA1c (NGSP, %)5.7 ± 0.85.8 ± 0.95.7 ± 0.6
Medical treatment (%)
Hypertension15.517.012.8
Dyslipidemia5.25.05.6
Diabetes mellitus3.24.01.8
Number of complicated metabolic abnormalities
027.421.338.4
135.235.335.1
223.326.217.9
3 or 414.117.28.6
Smoking status (%)
Nonsmoker56.332.998.1
Ex‐smoker18.528.50.7
Current smoker25.238.61.2
Habitual alcohol drinking (%)
No54.337.783.9
Yes45.762.316.1
Habitual exercise (%)
No71.767.579.2
Yes28.332.520.8

Data are n, means ± standard deviations, or medians (interquartile range).

Baseline characteristics of the study participants Data are n, means ± standard deviations, or medians (interquartile range). The standardized mortality ratio (95% confidence interval) for all‐cause mortality of the participants was 0.60 (0.54‐0.66) for males and 0.41 (0.36‐0.46) for females. These values are significantly lower than those of the general population of Japan. We evaluated the association between health status before retirement and the risk of death after retirement (Table 2). The HR for all‐cause mortality after adjustment for age and sex was significantly higher for males, those with a BMI <18.5 kg/m2, and current smokers. Obesity, high BP, dyslipidemia, and glucose intolerance were not significantly associated with the risk of death. However, the number of complicated metabolic abnormalities was associated with the risk of death (HR 2.29 for three or more metabolic abnormalities compared with no metabolic abnormality).
Table 2

Age‐ and sex‐adjusted hazard ratios (95% confidence interval) for all‐cause mortality among the study participants

 NNumber of mortalitiesPYMortality rate (/1000 PY)Adjusted HR (95% CI)
Sex
Male12996197736.23.41(1.73‐6.69)
Female7271052711.91.00(Reference)
Body mass index (kg/m2)
<18.51051075013.33.84(1.91‐7.73)
18.5‐24.914374210 7393.91.00(Reference)
≥25.04841935555.31.33(0.77‐2.28)
Blood pressure (mmHg)
SBP <130, DBP <858762463793.81.00(Reference)
SBP 130‐139, DBP 80‐854351433144.20.95(0.49‐1.85)
SBP ≥140, DBP ≥85, or medical treatment7153353516.21.37(0.81‐2.33)
Dyslipidemia (high triglycerides and/or low HDL‐cholesterol)
No15244811 4064.21.00(Reference)
Yes5022336386.31.33(0.81‐2.20)
LDL‐cholesterol (mg/dL)
<14012274891185.31.00(Reference)
140‐1593731427925.01.11(0.61‐2.02)
≥160 and/or medical treatment426931342.90.68(0.33‐1.40)
FPG (mg/dL)/ HbA1c (%)
FPG <110, HbA1c <6.515684611 7603.91.00(Reference)
FPG 110‐125, HbA1c <6.52191215677.71.80(0.95‐3.41)
FPG ≥126, HbA1c ≥6.5, or medical treatment2391317177.61.77(0.95‐3.28)
Number of complicated metabolic abnormalitiesa
05561140812.71.00(Reference)
17132553904.61.53(0.75‐3.12)
24712035945.61.65(0.79‐3.47)
3 or 42861519797.62.29(1.04‐5.02)
Smoking status
Nonsmoker11412585822.91.00(Reference)
Ex‐smoker375927323.30.90(0.44‐1.82)
Current smoker5103737309.92.63(1.51‐4.58)
Habitual alcohol drinking
No11002978093.71.00(Reference)
Yes9264272355.80.96(0.57‐1.59)
Habitual exercise
No14534410 2684.31.00(Reference)
Yes5732747765.71.08(0.66‐1.76)

Abbreviations: CI, confidence interval; DBP, diastolic blood pressure; FPG, fasting plasma glucose; HR, hazard ratio; PY, person‐years; SBP, systolic blood pressure.

Obesity, high BP, dyslipidemia, or high FPG. Metabolic abnormalities were defined using the definition of metabolic syndrome for the Japanese population.

Age‐ and sex‐adjusted hazard ratios (95% confidence interval) for all‐cause mortality among the study participants Abbreviations: CI, confidence interval; DBP, diastolic blood pressure; FPG, fasting plasma glucose; HR, hazard ratio; PY, person‐years; SBP, systolic blood pressure. Obesity, high BP, dyslipidemia, or high FPG. Metabolic abnormalities were defined using the definition of metabolic syndrome for the Japanese population. After adjustment for the variables significantly associated with all‐cause mortality, the BMI, smoking status, and number of complicated metabolic abnormalities were found to be independently associated with the risk of all‐cause mortality (Table 3, model 1). These associations were unaffected by adjustment for other lifestyle factors, for example, alcohol drinking and exercise habits (model 2).
Table 3

Multivariate‐adjusted hazard ratios (95% confidence interval) for all‐cause mortality among the study participants

 

Model 1

HR (95% CI)

Model 2

HR (95% CI)

Sex
Male2.19(0.98‐4.90)2.35(1.01‐5.47)
Female1.00(Reference)1.00(Reference)
Body mass index (kg/m2)
<18.53.60(1.78‐7.25)3.72(1.83‐7.54)
18.5‐24.91.00(Reference)1.00(Reference)
Smoking status
Nonsmoker1.00(Reference)1.00(Reference)
Ex‐smoker0.80(0.35‐1.83)0.83(0.36‐1.88)
Current smoker2.15(1.18‐3.93)2.23(1.22‐4.09)
Number of complicated metabolic abnormalitiesa
01.00(Reference)1.00(Reference)
11.76(0.86‐3.62)1.76(0.86‐3.62)
22.07(0.97‐4.40)2.09(0.98‐4.44)
3 or 42.64(1.19‐5.88)2.67(1.20‐5.96)

Abbreviations: CI, confidence interval; HR, hazard ratio.

Model 1: adjusted for all variables in the table; model 2: adjusted for the variables in model 1 as well as habitual alcohol drinking and habitual exercise.

Obesity, high blood pressure, dyslipidemia, or high fasting plasma glucose. Metabolic abnormalities were defined using the definition of metabolic syndrome for the Japanese population.

Multivariate‐adjusted hazard ratios (95% confidence interval) for all‐cause mortality among the study participants Model 1 HR (95% CI) Model 2 HR (95% CI) Abbreviations: CI, confidence interval; HR, hazard ratio. Model 1: adjusted for all variables in the table; model 2: adjusted for the variables in model 1 as well as habitual alcohol drinking and habitual exercise. Obesity, high blood pressure, dyslipidemia, or high fasting plasma glucose. Metabolic abnormalities were defined using the definition of metabolic syndrome for the Japanese population. The results of the sensitivity analysis are shown in Table 4. The results for males were similar to those of all participants. Evaluation of the factors associated with the risk of mortality among females was hampered by the small number of events. Because the participants who died soon after retirement might have suffered from a disease, such as cancer, which could have affected the baseline examination, we excluded those participants followed up for <3 years. Among the 1819 participants followed up for >3 years, we documented 59 deaths (mortality rate, 4.0/1000 person‐years). A low BMI, current smoking, and a large number of complicated metabolic abnormalities were associated with a significantly higher risk of mortality.
Table 4

Hazard ratios (95% confidence interval) for all‐cause mortality in the sensitivity analysis

 NNumber of mortalitiesPYMortality rate (/1000 PY)Adjusted HRa (95% CI) 
A) Males
Body mass index (kg/m2)
<18.552939123.04.36(2.06‐9.26)
18.5‐24.99183569765.01.00(Reference)
≥25.03291724067.1 
Smoking status
Nonsmoker4281534124.41.00(Reference)
Ex‐smoker370926953.30.83(0.36‐1.91)
Current smoker50137366610.12.27(1.23‐4.22)
Number of complicated metabolic abnormalitiesb
0277620972.91.00(Reference)
14582234816.32.60(1.04‐6.46)
23412026427.63.40(1.35‐8.56)
3 or 42231315538.43.62(1.36‐9.67)
B) Excluding participants who died within 3 years of follow‐up
Sex
Male11865195465.32.14(0.83‐5.53)
Female633850771.61.00(Reference)
Body mass index (kg/m2)
<18.593972512.44.16(1.95‐8.87)
18.5‐24.912973310 4563.21.00(Reference)
≥25.04291734434.9 
Smoking status
Nonsmoker10132083232.41.00(Reference)
Ex‐smoker342626642.30.73(0.27‐1.93)
Current smoker4643336389.12.48(1.27‐4.84)
Number of complicated metabolic abnormalitiesb
0499639651.51.00(Reference)
16482252634.22.97(1.19‐7.42)
24201634884.63.18(1.22‐8.26)
3 or 42521519087.95.15(1.95‐13.6)

Adjusted for the variables in model 2 (Table 3).

Obesity, high blood pressure, dyslipidemia, or high fasting plasma glucose. Metabolic abnormalities were defined using the definition of metabolic syndrome for the Japanese population.

Hazard ratios (95% confidence interval) for all‐cause mortality in the sensitivity analysis Adjusted for the variables in model 2 (Table 3). Obesity, high blood pressure, dyslipidemia, or high fasting plasma glucose. Metabolic abnormalities were defined using the definition of metabolic syndrome for the Japanese population.

DISCUSSION

In this cohort study of retirees approximately 60 years of age, the age‐adjusted mortality rate was approximately 40% lower for males and 60% lower for females compared with those of the general population in Japan. Being underweight, smoking, and having a large number of complicated metabolic abnormalities at approximately the age of retirement (60 years) were significantly associated with early death after retirement. Therefore, workplace health education for employees approaching retirement age, to promote maintenance of an appropriate body weight, smoking cessation, and elimination of metabolic syndrome, could prevent early death after retirement. The mortality rate of the participants was lower than that of the general population in Japan, possibly related in part to the healthy‐worker effect.24 That is, workers typically have a lower overall mortality rate than that of the general population because severely ill and chronically disabled individuals tend not to be employed. In addition, the study participants may be healthier than the general population because they continued working until retirement age. Furthermore, the participants were employees of a relatively large company, who reportedly are healthier than those of small‐to‐medium‐sized enterprises25 due, for example, to a greater emphasis on health promotion activities. Indeed, beginning in 1980, the subject company conducted disease prevention and health promotion activities in cooperation with occupational physicians and public‐health nurses. These factors may explain the relatively low mortality rate of the participants. The risk of early death after retirement was higher among males, participants with a low BMI, current smokers, and those with a large number of complicated metabolic abnormalities at approximately retirement age (60 years). These results are concordant with previous reports from Japan that a low BMI,26 smoking,27 the number of metabolic abnormalities, and metabolic syndrome28, 29 are associated with a higher risk of both all‐cause and cardiovascular‐related mortality. Healthcare for the working population is important to obtain good health so that they can continue to work at a greater age. Similarly, the results of this study indicated that healthcare for workers is important to extend a healthy life expectancy after retirement. In addition to obesity and metabolic syndrome, a lower BMI is an important problem in older people. Obesity and metabolic syndrome are associated with cardiovascular disease,23 which is an important cause of death. Stroke is another important cause of disability.30, 31 Lower BMI is associated with undernutrition, lower muscle mass, sarcopenia, and frailty, which are risks for disability.32 Our study showed that metabolic syndrome and a lower BMI around the age of 60 years are associated with early death after retirement. Exercise instruction and nutritional support for workers to maintain ideal body weight are needed to prevent disability at a later age and to extend life expectancy. Retirement is an important turning point in life and is associated with marked changes in lifestyle. Previous studies have indicated that overall physical activity10, 11, 12 and leisure time physical activity13, 14 increase after retirement. However, alcohol intake11, 14 and the prevalence of lifestyle diseases12 remain unchanged after retirement. The effect of retirement on smoking is controversial. Previous studies have indicated that retirement is associated with a higher risk of increased smoking, particularly for the involuntarily retired15; retirement accelerates smoking cessation14, 17; retirement reduces smoking rates for women but not men11, 16; and that smoking rates are unchanged after retirement.12 Our results indicate that smoking is an important risk factor for early death after retirement. Retirement is a major life‐course transition; however, previous studies have indicated that smoking status in retirement does not always change favorably, so more intensive health education programs for smokers around the age of retirement are needed. Japan has a declining birth rate and an aging population. The resulting reduction in the working‐age population will provide the elderly with opportunities for employment. The number of elderly individuals with chronic illnesses and disabilities will increase in the future, emphasizing the importance of health promotion and disease prevention activities for elderly workers for both employers and providers of employment‐based health insurance. The Collabo‐Health healthcare system provided by employers in collaboration with health insurers promotes maintenance of the health of middle‐aged and elderly workers. Additionally, because healthcare services for older people after retirement are provided by local municipalities, regional and occupational cooperation is important to provide continuous healthcare services for older workers around the age of retirement. The strength of this occupational cohort study is that the participants were followed up after retirement. In general, evaluation of mortality and the incidence of cardiovascular diseases after retirement is problematic. We obtained information on mortality and changes of address from the retiree organization and by conducting an annual mail survey, which had a response rate of 86.7%. This study also has several limitations. First, we did not evaluate the risk of cause‐specific mortality because we lacked data on the causes of death. Second, 13.3% of the participants did not respond to the annual mail survey, which was the only means of obtaining mortality data from non‐members of the retiree organization. Participants who did not respond to the annual mail survey were censored, which may have resulted in underestimation of the mortality rate. Third, the number of deaths observed in this study was relatively small, which reduced the statistical power of the analysis. For example, the mortality rates for the highest categories (blood pressure, dyslipidemia, and FPG/HbA1c) were relatively high, although no significant differences were observed (Table 2). However, the number of complicated metabolic abnormalities was significantly associated with mortality (Table 3), and the results indicated that control of metabolic abnormalities and their accumulation is important to prevent early death after retirement, although no metabolic abnormality was significantly associated with mortality. Fourth, we did not have data on socioeconomic factors or changes in lifestyle after retirement. Some socioeconomic factors, such as poverty and social engagement, have been reported to be associated with mortality in older people.7, 8 Changes in lifestyle after retirement may also affect mortality. However, our results will be helpful to select high‐risk workers around the age of retirement for intervention to prevent early death. In conclusion, a low BMI, smoking, and a large number of complicated metabolic abnormalities around the age of retirement significantly increased the risk of death after retirement. Retirement is an important turning point in life and a good chance to change lifestyle. To prevent early death after retirement, maintenance of an appropriate body weight, smoking cessation, and elimination of metabolic syndrome are required for workers around the age of retirement. Additionally, regional and occupational cooperation are needed for continuous health education activities in older workers and retirees.

DISCLOSURES

Approval of the research protocol: The Institutional Review Committee for Ethical Issues of Kanazawa Medical University (No. 2772) reviewed and approved the aims and procedures of this study. The Occupational Safety and Health Committee of the subject company, which comprises representatives of the employees, approved the study design. Informed consent: Written informed consent was not obtained from the participants. In the cover letter of the questionnaire, participants were informed of the study design and of their right to refuse to participate. Hence, participants who responded to the questionnaire were considered to have consented. Registry and the registration no. of the study/trial: N/A. Animal studies: N/A. Conflict of interest: Authors declare no conflicts of interest.

AUTHOR CONTRIBUTIONS

MS, KM, MI, and HN conceived ideas; MS, MI, YM, TK, YN, and HN collected the data; MS and MN, analyzed the data; MS led the writing; MS, KM, KN, YS, KN and HN, contributed to interpretation of the results.
  27 in total

1.  Homeostasis model assessment of insulin resistance and the risk of cardiovascular events in middle-aged non-diabetic Japanese men.

Authors:  K Nakamura; M Sakurai; K Miura; Y Morikawa; M Ishizaki; K Yoshita; T Kido; Y Naruse; H Nakagawa
Journal:  Diabetologia       Date:  2010-05-26       Impact factor: 10.122

Review 2.  Retirement and a healthy lifestyle: opportunity or pitfall? A narrative review of the literature.

Authors:  Else M Zantinge; Matthijs van den Berg; Henriëtte A Smit; H Susan J Picavet
Journal:  Eur J Public Health       Date:  2013-10-21       Impact factor: 3.367

Review 3.  Frailty and Sarcopenia: The New Geriatric Giants.

Authors:  John E Morley
Journal:  Rev Invest Clin       Date:  2016 Mar-Apr       Impact factor: 1.451

4.  Metabolic syndrome and all-cause mortality, cardiac events, and cardiovascular events: a follow-up study in 25,471 young- and middle-aged Japanese men.

Authors:  Takahisa Kondo; Shigeki Osugi; Keiko Shimokata; Haruo Honjo; Yasuhiro Morita; Kentaro Yamashita; Kengo Maeda; Takashi Muramatsu; Satoshi Shintani; Kunihiro Matsushita; Toyoaki Murohara
Journal:  Eur J Cardiovasc Prev Rehabil       Date:  2011-02-14

5.  The dynamic impact of retirement on health: Evidence from a nationwide ten-year panel survey in Japan.

Authors:  Takashi Oshio; Mari Kan
Journal:  Prev Med       Date:  2017-07       Impact factor: 4.018

6.  Retirement and Healthy Lifestyle: A National Health and Nutrition Examination Survey (NHANES) Data Report.

Authors:  Dana E King; Jun Xiang
Journal:  J Am Board Fam Med       Date:  2017 Mar-Apr       Impact factor: 2.657

7.  The effects of sleep duration on the incidence of cardiovascular events among middle-aged male workers in Japan.

Authors:  Yuko Hamazaki; Yuko Morikawa; Koshi Nakamura; Masaru Sakurai; Katsuyuki Miura; Masao Ishizaki; Teruhiko Kido; Yuchi Naruse; Yasushi Suwazono; Hideaki Nakagawa
Journal:  Scand J Work Environ Health       Date:  2011-04-28       Impact factor: 5.024

8.  Effect of stressful life events on changes in smoking among the French: longitudinal findings from GAZEL.

Authors:  Sara L Tamers; Cassandra Okechukwu; Miguel Marino; Alice Guéguen; Marcel Goldberg; Marie Zins
Journal:  Eur J Public Health       Date:  2015-03-11       Impact factor: 3.367

9.  Time to retire--time to die? A prospective cohort study of the effects of early retirement on long-term survival.

Authors:  Hilke Brockmann; Rolf Müller; Uwe Helmert
Journal:  Soc Sci Med       Date:  2009-05-23       Impact factor: 4.634

10.  Body mass index and mortality from all causes and major causes in Japanese: results of a pooled analysis of 7 large-scale cohort studies.

Authors:  Shizuka Sasazuki; Manami Inoue; Ichiro Tsuji; Yumi Sugawara; Akiko Tamakoshi; Keitaro Matsuo; Kenji Wakai; Chisato Nagata; Keitaro Tanaka; Tetsuya Mizoue; Shoichiro Tsugane
Journal:  J Epidemiol       Date:  2011-09-10       Impact factor: 3.211

View more
  1 in total

1.  Health status of workers approximately 60 years of age and the risk of early death after compulsory retirement: A cohort study.

Authors:  Masaru Sakurai; Masao Ishizaki; Katsuyuki Miura; Motoko Nakashima; Yuko Morikawa; Teruhiko Kido; Yuchi Naruse; Kazuhiro Nogawa; Yasushi Suwazono; Koji Nogawa; Hideaki Nakagawa
Journal:  J Occup Health       Date:  2019-09-27       Impact factor: 2.708

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.