Literature DB >> 22790788

Parental history and lifestyle behaviors in relation to mortality from stroke among Japanese men and women: the Japan Collaborative Cohort Study.

Eri Eguchi1, Hiroyasu Iso, Yasuhiko Wada, Shogo Kikuchi, Yoshiyuki Watanabe, Akiko Tamakoshi.   

Abstract

BACKGROUND: We assessed the impact of parental history of stroke on stroke mortality, as well as the effect modification between lifestyle and stroke mortality, among Japanese.
METHODS: In this community-based, prospective cohort study, 22,763 men and 30,928 women aged 40 to 79 years with no history of cardiovascular disease or cancer at baseline (1988-1990) were followed through 2008. We examined the association between parental history of stroke and stroke mortality and estimated the impact of the combination of lifestyle and parental history on stroke mortality in offspring.
RESULTS: During a mean follow-up period of 15.9 years, there were 1502 stroke deaths. In both sexes, participants with a parental history of stroke had a higher risk of stroke mortality as compared with those without such a history. The respective multivariable hazard ratio (95% CI) and population attributable fraction were 1.28 (1.10-1.49) and 5.4% in men, 1.22 (1.04-1.43) and 4.3% in women, and 1.25 (1.12-1.40) and 4.8% in all participants, for offspring with a maternal and/or paternal history of stroke. There was an inverse association between healthy-lifestyle score and stroke mortality, irrespective of parental history of stroke. The overall multivariable hazard ratio for the highest (6-8) versus the lowest (0-3) score categories was 0.56 (95% CI, 0.43-0.72) for participants with a maternal and/or paternal history of stroke and 0.44 (0.36-0.53) for those without such a history.
CONCLUSIONS: Parental history of stroke was associated with stroke mortality in offspring. The inverse association between healthy lifestyle behaviors and stroke mortality, regardless of parental history, suggests that lifestyle modification is beneficial, even among individuals with a parental history of stroke.

Entities:  

Mesh:

Year:  2012        PMID: 22790788      PMCID: PMC3798652          DOI: 10.2188/jea.je20110163

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


INTRODUCTION

There is substantial evidence of a relationship between a family history of coronary heart disease in parents and increased risk of coronary heart disease in their offspring.[1],[2] However, the evidence of such an association with stroke is limited, and the results of studies have been inconsistent.[3]–[5] Current guidelines for assessment of cardiovascular risk[6] recommend consideration of a parental history of early-onset cardiovascular disease (onset age <55 years in fathers or <65 years in mothers) as a risk factor for incident cardiovascular disease in their offspring.[6],[7] Well-established risk factors for stroke include hypertension, diabetes mellitus, and obesity, which are largely hereditary.[8]–[12] Although lifestyle behaviors such as diet, exercise, and smoking can also be hereditary, they are largely influenced by family situations in which both parents and offspring exhibit similar lifestyle behaviors. We previously reported an inverse association between the extent of healthy lifestyle behaviors and mortality from stroke, coronary heart disease, and total cardiovascular disease in the general Japanese population.[13] It is uncertain, however, whether this association is modified by parental history of stroke. Hence, knowledge of an association between healthy lifestyle behaviors and stroke mortality, stratified by parental history of stroke, would be important for motivating individuals with a parental history of stroke to improve their lifestyle behaviors and reduce their stroke risk. In this large, prospective cohort study of samples of Japanese men and women from the general population, we examined the association of parental history of stroke with stroke-related mortality risk in their offspring and determined whether the association between lifestyle behaviors and stroke mortality was modified by parental history.

METHODS

Study population

The Japan Collaborative Cohort Study (JACC Study) was conducted between 1988 and 1990 and enrolled adults living in 45 areas of Japan. The sampling methods and details of the JACC study are described elsewhere.[13]–[17] Participants were recruited mainly at the time of health check-ups, using a self-administered questionnaire that asked about lifestyle behaviors and parental medical history of stroke. The response rate to the questionnaire was 83%. We followed 110 792 adults (46 465 men and 64 327 women) aged 40 to 79 years at baseline. Of these individuals, 26 826 (11 121 men and 15 705 women) were excluded due to the absence of information on parental history of cardiovascular disease, 3837 (1747 men and 2090 women) were excluded due to a positive history of stroke, coronary heart disease, or cancer, and 30 275 (12 581 men and 17 694 women) were excluded due to the absence of information necessary for calculating healthy-lifestyle scores. Data from 53 691 (22 763 men and 30 928 women) were ultimately included in the analysis. There were no important differences between individuals who had complete information on parental history and those who did hot.

Mortality surveillance

Date and cause of death were confirmed by reviewing all death certificates in each study area, with the permission of the Director-General of the Prime Minister’s Office, up to the end of 31 December 2008, except for 11 areas in which follow-up was terminated at the end of 1999 (4 areas) or 2003 (4 areas). Stroke mortality was determined according to the International Classification of Diseases, 10th revision (I60 to I69). A total of 11 099 subjects were censored because of death, and 2863 subjects were censored due to departure or exclusion from the study community. The mean follow-up period was 15.9 years. The study design was approved by the Ethical Board of Nagoya University School of Medicine, the University of Tsukuba, and Osaka University.

Statistical analysis

Parental history of stroke was classified as maternal, paternal, or maternal and/or paternal. We first calculated sex-specific mean age, age-adjusted mean healthy-lifestyle score, and prevalence of stroke risk factors for participants with and without a paternal and/or maternal history of stroke using analysis of covariance for mean values and a logistic regression model for prevalence. We used Cox proportional hazards models to calculate hazard ratios with 95% CIs to determine sex-specific age-adjusted and multivariable-adjusted associations between parental history and stroke mortality associated with non-maternal, non-paternal, and no history of paternal stroke. We constructed 2 multivariable hazard models. The covariates for model 1 were baseline age (in years), healthy-lifestyle score (discussed below; 0–3, 4, 5, 6–8 points), perceived mental stress (low, moderate, high), level of education (<13, 13–15, 16–18, ≥19 years), regular employment (yes, no), and sex (in the analysis of all participants). Covariates for model 2 were those for model 1 plus hypertension and history of diabetes mellitus. Population attributable fractions (PAFs) were calculated with the standard method,[18] using multivariable hazard ratios (model 1) with adjustment for history of hypertension and history of diabetes mellitus, as these histories are regarded as contributory intermediate factors in the causal relationship. To examine whether the magnitudes of associations between parental history and stroke mortality differed with regard to maternal or paternal history of stroke, we used an interaction term for maternal and paternal histories. We then repeated the analysis of all participants after stratification by age category (40–59 vs 60–79 years). In addition, we calculated sex-specific multivariable hazard ratios and 95% CIs for stroke mortality for each healthy-lifestyle score category—with the worst score category of 0 to 3 points as the reference category—stratified by parental history of stroke status for the comparison of stroke mortality with regard to family history of stroke. We previously reported the details of the components of the healthy-lifestyle score.[13] In summary, participants scored 1 point for each of the following healthy lifestyle behaviors: consumption of at least 1 serving of fruit per day, at least 1 serving of fish per day, regular consumption of milk, habitual exercise or walking (exercise ≥5 hours per week and/or walking ≥1 hour per day), body mass index (BMI) of 21 to 25 kg/m2, ethanol intake less than 46.0 g per day, no smoking habit, and sleep duration of 5.5 to 7.4 hours per day. Total score ranged from 0 to 8, and scores were grouped into 4 categories (0–3, 4, 5, 6–8 points) for analysis. We combined scores of 0 through 3 and those of 6 through 8 to keep the number of participants roughly balanced in each category. Covariates for multivariable analyses were baseline age (in years), perceived mental stress (low, moderate, high), level of education (<13, 13–15, 16–18, ≥19 years), and regular employment (yes, no). We again repeated the analysis of all participants after stratification by age category (40–59 vs 60–79). To illustrate the magnitude of associations between healthy lifestyle and stroke mortality between participants with and without a parental history of stroke, we repeated the analysis after stratification by parental history of stroke, with the category of worst lifestyle score (0–3) plus positive parental history of stroke as the reference category. Seven HRs were calculated as 3 score categories with a positive family history and 4 score categories with a negative family history. We used the statistical analysis software (SAS) program Ver. 9.13 (SAS Institute Inc., Cary, NC, USA) for all statistical analyses. All probability values for statistical tests were 2-tailed, and values of P less than 0.05 were regarded as statistically significant.

RESULTS

The mean age of participants was 56.5 years in men and 56.8 years in women, mean BMI was 22.7 in men and 22.9 in women, and a history of stroke in 1 or both parents was noted in 24.6% of men and 23.9% of women. During 855 758 person-years of follow-up (353 588 in men and 502 170 in women), there were 1502 deaths due to stroke (774 in men and 728 in women). Table 1 shows sex-specific mean age, age-adjusted mean healthy-lifestyle scores, and prevalences of stroke risk factors at baseline among participants with and without a maternal and/or paternal history of stroke. As compared with participants without a parental history of stroke, both men and women with a parental history of stroke were likelier to be older, have a higher healthy-lifestyle score, and have a history of hypertension. They were also likelier to consume milk on an almost daily basis and to habitually exercise or walk. Men were likelier to be nonsmokers and heavy drinkers, and women were likelier to consume at least 1 serving of fish per day and were less likely to have graduated from college or university.
Table 1.

Mean age, age-adjusted mean healthy-lifestyle score, and prevalences of stroke risk factors in subjects with and without a parental history of stroke

   Maternal and/or paternal history of strokeP-value

   +
Men   
 No. at risk17 1705593 
  Age, years56.158.0<0.001
  Healthy-lifestyle score, points3.954.000.05
  Fruit ≥1/daya, %46.246.21.00
  Fish ≥1/daya, %30.631.60.16
  Milk almost dailya, %38.641.00.002
  Habitual exercise or walkinga, %65.467.20.01
  BMI 21–25 kg/m2 a, %51.352.20.20
  Ethanol intake <46.0 g/daya, %69.966.8<0.001
  Nonsmokera, %46.348.60.003
  Sleep 5.5–7.4 hours/daya, %46.846.00.33
  High perceived mental stress, %23.5240.44
  History of hypertension, %18.026.1<0.001
  History of diabetes mellitus, %5.85.80.92
  College or higher education, %18.118.50.45
  Regular employment, %75.776.50.20
Women   
 No. at risk23 5417387 
  Age, years56.358.4<0.001
  Healthy-lifestyle score, points5.065.13<0.001
  Fruit ≥1/daya, %60.761.20.39
  Fish ≥1/daya, %32.035.0<0.001
  Milk almost dailya, %44.945.60.31
  Habitual exercise or walkinga, %66.767.20.40
  BMI 21–25 kg/m2 a, %47.548.40.21
  Ethanol intake <46.0 g/daya, %99.399.30.92
  Nonsmokera, %95.696.10.09
  Sleep 5.5–7.4 hours/daya, %59.759.90.83
  High perceived mental stress, %20.120.80.21
  History of hypertension, %19.427.6<0.001
  History of diabetes mellitus, %3.23.50.26
  College or higher education, %10.89.40.001
  Regular employment, %33.634.50.20

aComponent of healthy-lifestyle score (0–8).

aComponent of healthy-lifestyle score (0–8). Table 2 shows sex-specific age-adjusted and multivariable hazard ratios with 95% CIs and PAFs for mortality from stroke by parental history of stroke. Both men and women with a parental history of stroke had a higher age-adjusted risk of stroke mortality than did those without a parental history of stroke. Hazard ratios tended to be higher among those with a maternal versus a paternal stroke history; however, this difference was not statistically significant (P = 0.49). In model 1, the overall multivariable hazard ratio (95% CI) was 1.33 (1.16–1.52) for maternal stroke history, 1.16 (1.03–1.32) for paternal stroke history, and 1.25 (1.12–1.40) for maternal and/or paternal history of stroke. The hazard ratios were lower in model 2, which was further adjusted for history of hypertension and diabetes mellitus.
Table 2.

Sex-specific age-adjusted and multivariable hazard ratios (HRs), 95% CIs, and population attributable fractions (PAFs) for mortality from stroke, stratified by parental history of stroke

   MenWomenTotal
Person-years353 588502 170855 758
 Positive maternal history
  No.130125255
  Age-adjusted HR (95% CI)1.24 (1.03–1.50)1.37 (1.13–1.66)1.31 (1.15–1.50)
  Multivariable HR1 (95% CI)a1.26 (1.05–1.53)1.40 (1.15–1.70)1.33 (1.16–1.52)
  Multivariable HR2 (95% CI)b1.17 (0.97–1.42)1.28 (1.06–1.56)1.21 (1.06–1.39)
  PAF (%)c2.43.22.8
 Positive paternal history
  No.158148306
  Age-adjusted HR (95% CI)1.16 (0.97–1.38)1.17 (0.98–1.40)1.17 (1.03–1.32)
  Multivariable HR1 (95% CI)a1.17 (0.99–1.40)1.15 (0.96–1.37)1.16 (1.03–1.32)
  Multivariable HR2 (95% CI)b1.09 (0.91–1.30)1.08 (0.90–1.30)1.08 (0.95–1.23)
  PAF (%)c2.52.12.3
 Positive maternal and/or paternal history
  No.244221465
  Age-adjusted HR (95% CI)1.24 (1.07–1.45)1.22 (1.04–1.43)1.24 (1.11–1.38)
  Multivariable HR1 (95% CI)a1.28 (1.10–1.49)1.22 (1.04–1.43)1.25 (1.12–1.40)
  Multivariable HR2 (95% CI)b1.18 (1.02–1.38)1.13 (0.97–1.33)1.16 (1.04–1.29)
  PAF (%)c5.44.34.8

aMultivariable HR1: adjusted for age, sex (for all subjects), healthy-lifestyle score, perceived mental stress, educational level, and regular employment.

bMultivariable HR2: adjusted for the above variables plus history of hypertension and history of diabetes mellitus.

cPAFs were calculated with the multivariable HR1.

aMultivariable HR1: adjusted for age, sex (for all subjects), healthy-lifestyle score, perceived mental stress, educational level, and regular employment. bMultivariable HR2: adjusted for the above variables plus history of hypertension and history of diabetes mellitus. cPAFs were calculated with the multivariable HR1. The overall PAF for stroke mortality, 4.8%, was higher among participants with a maternal and/or paternal history of stroke than among those with only a maternal or only a paternal history. We analyzed parental history and stroke mortality stratified by age category (not shown in table). Participants aged 40 to 59 years had higher age-adjusted and multivariable hazard ratios of stroke mortality for both maternal and paternal history of stroke than did those aged 60 to 79 years. In model 1, the respective multivariable hazard ratios (age 40–59 years vs 60–79 years) were 1.47 (95% CI, 1.05–2.04) versus 1.29 (1.11–1.50) for positive maternal history, 1.65 (1.25–2.18) versus 1.07 (0.93–1.24) for positive paternal history, and 1.63 (1.26–2.09) versus 1.18 (1.04–1.33) for positive maternal and/or paternal history of stroke. The respective PAFs for mortality from stroke were 3.0% versus 3.2% for positive maternal history, 6.0% versus 1.2% for positive paternal history, and 8.3% versus 4.3% for positive maternal and/or parental history. Table 3 shows multivariable hazard ratios of mortality from stroke for each healthy-lifestyle score category, stratified by parental history of stroke with the 0 to 3 score (worst score) category as the reference. Overall, the risk of stroke mortality decreased with an increase in healthy-lifestyle score. The inverse association between healthy-lifestyle score and stroke mortality did not vary by parental history of stroke in either sex, with the exception of paternal stroke history and stroke mortality in women. Overall, the respective hazard ratio (95% CI) for stroke for the highest healthy-lifestyle score (6–8) versus the worst score (0–3) category was 0.50 (0.35–0.71) with the presence of a maternal history of stroke and 0.47 (0.40–0.55) without such a history, 0.55 (0.40–0.76) with the presence of paternal history of stroke and 0.46 (0.38–0.54) without such a history, and 0.55 (0.43–0.72) with the presence of maternal and/or paternal history of stroke and 0.44 (0.36–0.53) without such a history. These results did not materially change when history of hypertension and diabetes mellitus were included in the multivariable model (model 2; not shown in table).
Table 3.

Sex-specific multivariable hazard ratios (HRs) and 95% CIs for mortality from stroke, stratified by parental history of stroke

Parental historyHealthy-lifestyle score (points)

0–3456–8P-valuefor trend
Men     
 Maternal     
  Positive Person-years15 075945276287936 
   No.58341919 
   Multivariable HR (95% CI)1.000.87 (0.57–1.34)0.57 (0.34–0.97)0.58 (0.34–0.99)0.01
  Negative Person-years120 48378 25962 97051 785 
   No.29315811578 
   Multivariable HR (95% CI)1.000.77 (0.63–0.93)0.65 (0.52–0.81)0.52 (0.41–0.67)<0.001
 Paternal     
  Positive Person-years22 59413 90411 99210 892 
   No.76382123 
   Multivariable HR (95% CI)1.000.75 (0.51–1.11)0.43 (0.26–0.70)0.52 (0.32–0.85)0.001
  Negative Person-years112 96373 80758 60648 829 
   No.27515411374 
   Multivariable HR (95% CI)1.000.79 (0.65–0.97)0.70 (0.56–0.88)0.53 (0.41–0.69)<0.001
 Paternal and/or maternal     
  Positive Person-years32 02820 30717 07416 215 
   No.106643638 
   Multivariable HR (95% CI)1.000.90 (0.66–1.23)0.55 (0.37–0.81)0.61 (0.42–0.89)0.001
  Negative Person-years103 52967 40453 52543 506 
   No.2451289859 
   Multivariable HR (95% CI)1.000.74 (0.59–0.91)0.67 (0.53–0.86)0.49 (0.37–0.66)<0.001
Women     
 Maternal     
  Positive Person-years687911 60215 19822 547 
   No.26332937 
   Multivariable HR (95% CI)1.000.85 (0.50–1.43)0.58 (0.34–1.00)0.58 (0.34–0.98)0.03
  Negative Person-years56 22091 578121 010177 136 
   No.141146161155 
   Multivariable HR (95% CI)1.000.79 (0.62–0.99)0.79 (0.63–1.00)0.65 (0.51–0.82)0.001
 Paternal     
  Positive Person-years10 57517 18321 09632 243 
   No.23413747 
   Multivariable HR (95% CI)1.001.22 (0.73–2.04)1.04 (0.61–1.77)1.00 (0.59–1.69)0.76
  Negative Person-years52 52385 998115 112167 440 
   No.144138153145 
   Multivariable HR (95% CI)1.000.73 (0.57–0.92)0.71 (0.57–0.90)0.57 (0.45–0.73)<0.001
 Paternal and/or maternal     
  Positive Person-years14 81124 57431 39248 044 
   No.40595369 
   Multivariable HR (95% CI)1.001.03 (0.68–1.54)0.81 (0.53–1.23)0.80 (0.53–1.21)0.19
  Negative Person-years48 28778 606104 817151 639 
   No.127120137123 
   Multivariable HR (95% CI)1.000.72 (0.56–0.93)0.74 (0.58–0.95)0.58 (0.44–0.75)0.001
Total     
 Maternal     
  Positive Person-years21 95321 05422 82630 493 
   No.84674856 
   Multivariable HR (95% CI)1.000.79 (0.57–1.09)0.52 (0.37–0.75)0.50 (0.35–0.71)<0.001
  Negative Person-years176 702169 837183 981228 921 
   No.434304276233 
   Multivariable HR (95% CI)1.000.70 (0.60–0.81)0.62 (0.53–0.72)0.47 (0.40–0.55)<0.001
 Paternal     
  Positive Person-years33 16931 08733 08843 135 
   No.99795870 
   Multivariable HR (95% CI)1.000.78 (0.58–1.06)0.55 (0.40–0.77)0.55 (0.40–0.76)<0.001
  Negative Person-years165 486159 805173 719216 269 
   No.419292266219 
   Multivariable HR (95% CI)1.000.70 (0.60–0.81)0.62 (0.53–0.72)0.46 (0.38–0.54)<0.001
 Paternal and/or maternal     
  Positive Person-years46 83944 88148 46664 258 
   No.14612389107 
   Multivariable HR (95% CI)1.000.83 (0.65–1.06)0.57 (0.43–0.74)0.55 (0.43–0.72)<0.001
  Negative Person-years151 816146 010158 342195 146 
   No.372248235182 
   Multivariable HR (95% CI)1.000.67 (0.57–0.79)0.62 (0.52–0.73)0.44 (0.36–0.53)<0.001

Multivariable adjustment: age, sex (for all subjects), perceived mental stress, educational level, and regular employment.

Multivariable adjustment: age, sex (for all subjects), perceived mental stress, educational level, and regular employment. We examined age-specific associations between healthy-lifestyle score and mortality from stroke, stratified by parental history of stroke (Table 4). The inverse associations between healthy-lifestyle score and stroke mortality were stronger in the younger age group than in the older one, but they did not vary by parental history of stroke in either age group.
Table 4.

Age-specific multivariable hazard ratios (HRs) and 95% CIs for mortality from stroke, stratified by parental history of stroke

Parental historyHealthy-lifestyle score (points)

0–3456–8P-valuefor trend
Age 40–59 years     
 Maternal     
  Positive11 83311 25711 86416 701 
   No.181158 
   Multivariable HR (95% CI)1.000.63 (0.30–1.36)0.27 (0.10–0.74)0.30 (0.13–0.72)0.002
  Negative Person-years114 253108 263117 929154 643 
   No.84544845 
   Multivariable HR (95% CI)1.000.65 (0.46–0.92)0.54 (0.37–0.78)0.38 (0.26–0.55)<0.001
 Paternal     
  Positive Person-years19 49717 56418 86326 583 
   No.2713819 
   Multivariable HR (95% CI)1.000.49 (0.25–0.95)0.28 (0.12–0.62)0.43 (0.23–0.81)0.005
  Negative Person-years106 590101 957110 931144 760 
   No.75524534 
   Multivariable HR (95% CI)1.000.71 (0.50–1.01)0.58 (0.39–0.84)0.33 (0.22–0.50)<0.001
 Paternal and/or maternal     
  Positive Person-years26 99625 52126 80938 207 
   No.39221021 
   Multivariable HR (95% CI)1.000.56 (0.33–0.95)0.24 (0.12–0.49)0.34 (0.19–0.59)<0.001
  Negative Person-years99 09094 000102 984133 136 
   No.63434332 
   Multivariable HR (95% CI)1.000.70 (0.48–1.04)0.66 (0.44–0.97)0.37 (0.24–0.58)<0.001
Age 60–79 years     
 Maternal     
  Positive Person-years10 120979710 96213 782 
   No.66564348 
   Multivariable HR (95% CI)1.000.84 (0.58–1.20)0.59 (0.40–0.88)0.56 (0.38–0.83)0.001
  Negative Person-years62 44961 57466 05274 279 
   No.350250228188 
   Multivariable HR (95% CI)1.000.71 (0.60–0.84)0.63 (0.54–0.75)0.49 (0.41–0.59)<0.001
 Paternal     
  Positive Person-years13 67313 52314 22616 553 
   No.72665051 
   Multivariable HR (95% CI)1.000.89 (0.64–1.25)0.65 (0.45–0.95)0.58 (0.40–0.85)0.002
  Negative Person-years58 89757 84862 78871 509 
   No.344240221185 
   Multivariable HR (95% CI)1.000.70 (0.59–0.82)0.63 (0.53–0.74)0.49 (0.41–0.59)<0.001
 Paternal and/or maternal     
  Positive Person-years19 84319 36021 65726 051 
   No.1071017986 
   Multivariable HR (95% CI)1.000.93 (0.71–1.22)0.69 (0.51–0.93)0.64 (0.48–0.86)0.001
  Negative Person-years52 72652 01055 35762 010 
   No.309205192150 
   Multivariable HR (95% CI)1.000.66 (0.55–0.79)0.61 (0.51–0.73)0.46 (0.37–0.56)<0.001

Multivariable adjustment: age, sex (for all subjects), perceived mental stress, educational level, and regular employment.

Multivariable adjustment: age, sex (for all subjects), perceived mental stress, educational level, and regular employment. The Figure shows the multivariable hazard ratios of stroke mortality for each healthy-lifestyle score category among men and women with and without a parental history of stroke. Participants with a healthy-lifestyle score of 0 to 3 (worst score) and a maternal and/or paternal history of stroke were used as the reference. Among participants with and without a parental history of stroke, the hazard ratio decreased as healthy-lifestyle score increased. The hazard ratio for stroke mortality was generally higher among participants with a parental history of stroke than in those without such a history. The trends were virtually identical in men and women.
Figure.

Multivariable hazard ratios for stroke mortality for each healthy-lifestyle score category for men, women, and all participants with and without a parental history of stroke, using those with a healthy-lifestyle score of 0–3 and a maternal and/or paternal history of stroke as the reference category.

DISCUSSION

In a prospective large cohort study of 53 691 Japanese men and women aged 40 to 79 years, we observed a 16% to 40% increase in stroke mortality risk in participants who had a parental history of stroke. We also found that the inverse relationship observed between healthy lifestyle behaviors and mortality was similar in both men and women and stronger in younger than in older adults, regardless of parental history of stroke, with the exception of paternal stroke history and stroke mortality in women. A number of previous studies reported an association between parental history and risk of cardiovascular disease and stroke in offspring. In the Framingham Offspring Study, which followed 2302 men and women (28–62 years) for up to 8 years, Lloyd-Jones et al reported multivariate odds ratios (95% CI) for cardiovascular disease of 2.0 (1.2–3.1) in men and 1.7 (0.9–3.1) in women, among participants with at least 1 parent with early-onset cardiovascular disease (onset age <55 years in father, <65 years in mother), and 1.5 (0.9–2.4) in men and 1.1 (0.6–2.1) in women, among those at least 1 parent with non–early-onset cardiovascular disease, including ischemic stroke.[7] In addition, on the basis of data from 149 896 person-years that were obtained from 14 371 Finnish men and women aged 25 to 64 years, the multivariable hazard ratio (95% CIs) for stroke associated with any parental history of stroke was 1.9 (1.2–2.9) in men and 1.8 (1.2–2.8) in women.[3] Another study of 13 775 individuals aged 45 to 64 years from the atherosclerosis risk in communities (ARIC) cohort reported a multivariable odds ratio (95% CI) for subclinical stroke (cerebral infarct >3 mm) of 1.6 (1.2–2.2) in men and women combined; however, the multivariable hazard ratio for developing clinical stroke was 1.1 (0.8–1.4), which was not significant.[4] Kadota et al showed no association between parental history of stroke and stroke mortality in a 19-year follow-up study of 8 037 randomly selected Japanese adults (age, ≥30 years) from the general population of NIPPON DATA 80.[5] Our study is the first to show a positive association between parental history of stroke and stroke-related mortality among their offspring in a Japanese population. As compared with 2 previous studies that examined this association,[3],[4] the magnitude of the present association is smaller. One reason for this discrepancy is the difference in respective outcomes, ie, incidence and mortality, between the previous studies and the present study. Stroke mortality may be affected by survival factors, which can dilute associations between parental history and disease. In addition, the association of parental history of stroke and offspring stroke mortality was stronger among younger persons than older ones, which was consistent with the findings of the Framingham heart study.[7] The hazard ratios of stroke mortality associated with parental history of stroke became smaller when we added history of hypertension and history of diabetes to the model. This finding supports the hypothesis that hypertension and diabetes mellitus are partial mediators of the association between parental history of stroke and stroke mortality in offspring. The association between maternal stroke history and stroke mortality tended to be stronger than the association between paternal stroke history and stroke mortality in both men and women, although the difference was not statistically significant. As compared with fathers, mothers are believed to share a greater number of lifestyle behaviors with their offspring, and that might be a reason for our result. In the present study, the impact of parental history on stroke mortality was much lower than that of lifestyle behaviors. The PAF for stroke mortality for maternal and/or paternal history of stroke was 5.4% in men and 4.3% in women. In our previous study, the PAF for stroke mortality in adults who did not have 7 to 8 healthy lifestyle behaviors was 45.0% in men and 43.4% in women.[13] The effect modification of parental history of stroke on the association between healthy lifestyle behaviors and stroke mortality has not been studied. Our study showed that the association of healthy lifestyle behaviors and stroke mortality was similar in men and women and that younger persons had a stronger inverse association than did older ones. Neither of the associations was influenced by parental history of stroke. There was, however, an exception to this result, ie, a lack of a significant association between healthy-lifestyle score and stroke mortality in women with a paternal stroke history. The reasons for this discrepancy are unknown, but it might be a chance phenomenon due in part to the small number of participants in the reference group, namely, those with a paternal history of stroke and the worst healthy-lifestyle score (0–3). The strengths of our study are as follows: (1) it was a large-scale, cohort-based study that enrolled participants from all over Japan, with over 1500 deaths reported during long-term follow-up, (2) multiple lifestyle variables were collected at baseline, and (3) adjustments were made for multiple potential confounding variables. These advantages allowed us to estimate the impact of parental history of stroke on stroke-related mortality in offspring, and further allowed us to assess the potential modifying effect of parental history of stroke on the association between healthy lifestyle behaviors and stroke mortality in offspring. The study did have some limitations that warrant mention. First, we did not have information on the age at which parents had a stroke. The absence of this information meant we were unable to investigate the relationship between parental history of early-onset stroke and stroke-related mortality in offspring. Second, baseline data on lifestyle were only obtained at the initial assessment. It is possible that lifestyle changes occurred during the follow-up period. Consequently, nondifferential measurement errors would have attenuated the observed associations, when the actual/real associations might have been stronger. We used stroke mortality rather than stroke incidence as an endpoint; thus, stroke onset during follow-up might have induced lifestyle changes and consequently influenced mortality risk in some individuals. Finally, there might be a concern regarding selection bias due to the exclusion of 57 101 participants who consented to the study but lacked the necessary information to be included in the analysis. However, the exclusion of these individuals was unlikely to influence these relationships, as their baseline characteristics were similar to those of the rest of the cohort.

Conclusions

In conclusion, a parental history of stroke was associated with an increased risk of stroke mortality among a Japanese population. The association tended to be stronger among study participants who had a maternal versus a paternal history of stroke. The inverse association between lifestyle behaviors and stroke mortality in offspring was similar in men and women and was stronger for younger persons than older ones, regardless of parental history of stroke. However, there was no significant association between healthy life scores and stroke mortality rates in women with a paternal stroke history. These results confirm the need to motivate individuals to modify their lifestyle to prevent stroke, particularly when their parents have a history of stroke.
  18 in total

1.  Validity and reliability of single-item questions about physical activity.

Authors:  N Iwai; S Hisamichi; N Hayakawa; Y Inaba; T Nagaoka; H Sugimori; N Seki; K Sakata; K Suzuki; A Tamakoshi; Y Nakamura; A Yamamoto; Y Nishino; A Ogihara; N Okamoto; H Suzuki; S Morioka; Y Ito; K Wakai; T Ojima; H Tanaka; T Nose; Y Ohno
Journal:  J Epidemiol       Date:  2001-09       Impact factor: 3.211

2.  Parental history of cardiovascular disease and risk of stroke. A prospective follow-up of 14371 middle-aged men and women in Finland.

Authors:  P Jousilahti; D Rastenyte; J Tuomilehto; C Sarti; E Vartiainen
Journal:  Stroke       Date:  1997-07       Impact factor: 7.914

Review 3.  Family history of diabetes as a potential public health tool.

Authors:  Tabitha A Harrison; Lucia A Hindorff; Helen Kim; Roberta C M Wines; Deborah J Bowen; Barbara B McGrath; Karen L Edwards
Journal:  Am J Prev Med       Date:  2003-02       Impact factor: 5.043

4.  Genetic variability of adult body mass index: a longitudinal assessment in framingham families.

Authors:  Sean A Coady; Cashell E Jaquish; Richard R Fabsitz; Martin G Larson; L Adrienne Cupples; Richard H Myers
Journal:  Obes Res       Date:  2002-07

Review 5.  The genetic basis for smoking behavior: a systematic review and meta-analysis.

Authors:  Marcus Munafò; Taane Clark; Elaine Johnstone; Michael Murphy; Robert Walton
Journal:  Nicotine Tob Res       Date:  2004-08       Impact factor: 4.244

6.  Proportion of disease caused or prevented by a given exposure, trait or intervention.

Authors:  O S Miettinen
Journal:  Am J Epidemiol       Date:  1974-05       Impact factor: 4.897

7.  Frequency of family history of acute myocardial infarction in patients with acute myocardial infarction. Argentine FRICAS (Factores de Riesgo Coronario en America del Sur) Investigators.

Authors:  M Ciruzzi; H Schargrodsky; J Rozlosnik; P Pramparo; H Delmonte; V Rudich; D Piskorz; E Negri; S Soifer; C La Vecchia
Journal:  Am J Cardiol       Date:  1997-07-15       Impact factor: 2.778

8.  Parental history of stroke predicts subclinical but not clinical stroke: the Atherosclerosis Risk in Communities Study.

Authors:  A C Morrison; M Fornage; D Liao; E Boerwinkle
Journal:  Stroke       Date:  2000-09       Impact factor: 7.914

9.  Family risk score of coronary heart disease (CHD) as a predictor of CHD: the Atherosclerosis Risk in Communities (ARIC) study and the NHLBI family heart study.

Authors:  R Li; J T Bensen; R G Hutchinson; M A Province; I Hertz-Picciotto; J M Sprafka; H A Tyroler
Journal:  Genet Epidemiol       Date:  2000-03       Impact factor: 2.135

10.  Parental cardiovascular disease as a risk factor for cardiovascular disease in middle-aged adults: a prospective study of parents and offspring.

Authors:  Donald M Lloyd-Jones; Byung-Ho Nam; Ralph B D'Agostino; Daniel Levy; Joanne M Murabito; Thomas J Wang; Peter W F Wilson; Christopher J O'Donnell
Journal:  JAMA       Date:  2004-05-12       Impact factor: 56.272

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  5 in total

1.  The accumulation of healthy lifestyle behaviors prevents the incidence of chronic kidney disease (CKD) in middle-aged and older males.

Authors:  Ryoma Michishita; Takuro Matsuda; Shotaro Kawakami; Akira Kiyonaga; Hiroaki Tanaka; Natsumi Morito; Yasuki Higaki
Journal:  Environ Health Prev Med       Date:  2016-01-21       Impact factor: 3.674

2.  The association between changes in lifestyle behaviors and the incidence of chronic kidney disease (CKD) in middle-aged and older men.

Authors:  Ryoma Michishita; Takuro Matsuda; Shotaro Kawakami; Satoshi Tanaka; Akira Kiyonaga; Hiroaki Tanaka; Natsumi Morito; Yasuki Higaki
Journal:  J Epidemiol       Date:  2017-04-03       Impact factor: 3.211

3.  Family History and Stroke Risk in China: Evidence from a Large Cohort Study.

Authors:  Tian Tian; Guangfu Jin; Canqing Yu; Jun Lv; Yu Guo; Zheng Bian; Ling Yang; Yiping Chen; Hongbing Shen; Zhengming Chen; Zhibin Hu; Liming Li
Journal:  J Stroke       Date:  2017-05-31       Impact factor: 6.967

4.  No modifying effect of education level on the association between lifestyle behaviors and cardiovascular mortality: the Japan Collaborative Cohort Study.

Authors:  Eri Eguchi; Hiroyasu Iso; Kaori Honjo; Hiroshi Yatsuya; Akiko Tamakoshi
Journal:  Sci Rep       Date:  2017-01-06       Impact factor: 4.379

5.  The Association Between Unhealthy Lifestyle Behaviors and the Prevalence of Chronic Kidney Disease (CKD) in Middle-Aged and Older Men.

Authors:  Ryoma Michishita; Takuro Matsuda; Shotaro Kawakami; Akira Kiyonaga; Hiroaki Tanaka; Natsumi Morito; Yasuki Higaki
Journal:  J Epidemiol       Date:  2016-03-05       Impact factor: 3.211

  5 in total

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