Association Between Weight Change Since 20 Years of Age With Mortality From Myocardial Infarction and Chronic Heart Failure in the Japan Collaborative Cohort (JACC) Study

Cui, Renzhe; Iso, Hiroyasu; Tanabe, Naohito; Watanabe, Yoshiyuki; Tamakoshi, Akiko

doi:10.1253/circj.cj-13-1057

Cited by 15 publications

(8 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In contrast to case-control studies of acute MI, there are many prospective studies concerning the relations between anthropometric measures in general populations and future outcomes such as all-cause mortality [ 4 , 11 – 20 ] and cardiovascular events, including MI [ 2 , 3 , 13 , 16 , 21 , 22 ]. A consistent finding in these studies was that an excess of body fat as reflected by large BMI and particularly by large waist and waist/hip predicted future adverse cardiac events.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Basic Anthropometric Measures in Acute Myocardial Infarction Patients and Individually Sex- and Age-Matched Controls from the General Population

et al. 2018

View full text Add to dashboard Cite

We compared weight, height, waist and hip circumferences (hip), body mass index (BMI), and waist-to-hip ratio in acute myocardial infarction (MI) patients and individually sex- and age-matched control subjects from the general population in the catchment area of the patients and predicted the risk of MI status by these basic anthropometric measures. The study cohort comprised 748 patients ≤80 years of age with acute MI from a major Swedish cardiac center and their individually sex- and age-matched controls. The analyses were stratified for sex and age (≤65/≥66 years). Risk of MI was assessed by conditional logistic regression. A narrow hip in men ≥66 years was the single strongest risk factor of MI among the anthropometric measures. The combination of hip and weight was particularly efficient in discriminating men ≥66 years with MI from their controls (area under the receiver operating characteristic (AUROC) curve = 0.82). In men ≤65 years, the best combination was hip, BMI, and height (AUROC = 0.79). In women ≥66 years, the best discriminatory model contained only waist-to-hip ratio (AUROC = 0.67), whereas in women ≤65 years, the best combination was hip and BMI (AUROC = 0.68). A narrow hip reasonably reflects small gluteal muscles. This finding might suggest an association between MI and sarcopenia, possibly related to deficiencies in physical activity and nutrition.

show abstract

Section: Discussionmentioning

confidence: 99%

“…Prospective studies have demonstrated an association between future coronary events and high BMI and weight gain [ 1 , 2 ] as well as large waist and waist/hip [ 3 , 4 ].…”

Section: Introductionmentioning

confidence: 99%

Basic Anthropometric Measures in Acute Myocardial Infarction Patients and Individually Sex- and Age-Matched Controls from the General Population

et al. 2018

View full text Add to dashboard Cite

show abstract

“…In addition, among the 41 remained papers, 25 published papers lacked necessary information for our analysis. Therefore, the remaining 16 articles were included in this meta‐analysis . From these, six studies were assessed pre‐diagnosis BMI , and post‐diagnosis BMI was measured in 10 studies .…”

Section: Resultsmentioning

confidence: 99%

“…Characteristics of the included studies are summarized in Table . Of the six studies that assessed pre‐diagnosis BMI, two were evaluated mortality rates among healthy participants and two in participants at the risk of CVD . In addition, mortality rate was evaluated among a group of patients with cancer as well as subjects with and without metabolic syndrome in the other articles .…”

Section: Resultsmentioning

confidence: 99%

Pre‐ and post‐diagnosis body mass index and heart failure mortality: a dose–response meta‐analysis of observational studies reveals greater risk of being underweight than being overweight

et al. 2018

View full text Add to dashboard Cite

Objective:To investigate the dose-response association between pre-and postdiagnosis body mass index (BMI) and heart failure (HF) mortality. Methods:Eligible observational studies were searched in databases, up to November 2017. We used random-effects generalized least squares spline models for trend estimation to derive pooled BMI unit-HF mortality relationship. Results:Sixteen cohort studies (six pre-diagnosis and 10 post-diagnosis BMI) were included, comprising a total of 258,379 subjects with 13,201 deaths due to HF. A nonlinear U-shaped association was found between pre-diagnosis BMI and the risk of HF mortality, with a greater risk from being at the lowest extreme, rather than being at the top category. The combined hazard ratio of HF mortality among the highest compared to the lowest category of pre-diagnosis BMI was 1.24 (0.65-2.37, I 2 = 90.7%). No significant nonlinear association was found between postdiagnosis BMI and HF mortality as well as when comparing the highest to the lowest category of BMI. Conclusions:This meta-analysis showed those with both high and low prediagnosis BMI had higher risk for HF mortality, with a greater risk from being too underweight, rather than being obese. No significant association was found between post-diagnosis BMI and the risk of HF mortality. Further detailed investigations are needed to accurately examine the potential mechanistic links between BMI and health outcomes.

show abstract

“…Conversely, for vascular dementia, weight gain was associated with a modest 20% increased risk but only in those aged younger than 60 years at study baseline. This is consistent not only with what we know about weight gain being a risk factor for other vascular conditions such as coronary heart disease but also with the diminution of the strength in the association between vascular risk factors such as diabetes and blood pressure with vascular risk at older ages . Moreover, data from animal studies have indicated that weight gain is associated with increased vascular dementia risk …”

Section: Discussionmentioning

confidence: 99%

Association of anthropometry and weight change with risk of dementia and its major subtypes: A meta‐analysis consisting 2.8 million adults with 57 294 cases of dementia

et al. 2020

View full text Add to dashboard Cite

Summary Uncertainty exists regarding the relation of body size and weight change with dementia risk. As populations continue to age and the global obesity epidemic shows no sign of waning, reliable quantification of such associations is important. We examined the relationship of body mass index, waist circumference, and annual percent weight change with risk of dementia and its subtypes by pooling data from 19 prospective cohort studies and four clinical trials using meta‐analysis. Compared with body mass index–defined lower‐normal weight (18.5‐22.4 kg/m2), the risk of all‐cause dementia was higher among underweight individuals but lower among those with upper‐normal (22.5‐24.9 kg/m2) levels. Obesity was associated with higher risk in vascular dementia. Similarly, relative to the lowest fifth of waist circumference, those in the highest fifth had nonsignificant higher vascular dementia risk. Weight loss was associated with higher all‐cause dementia risk relative to weight maintenance. Weight gain was weakly associated with higher vascular dementia risk. The relationship between body size, weight change, and dementia is complex and exhibits non‐linear associations depending on dementia subtype under scrutiny. Weight loss was associated with an elevated risk most likely due to reverse causality and/or pathophysiological changes in the brain, although the latter remains speculative.

show abstract

Association Between Weight Change Since 20 Years of Age With Mortality From Myocardial Infarction and Chronic Heart Failure in the Japan Collaborative Cohort (JACC) Study

Cited by 15 publications

References 32 publications

Basic Anthropometric Measures in Acute Myocardial Infarction Patients and Individually Sex- and Age-Matched Controls from the General Population

Basic Anthropometric Measures in Acute Myocardial Infarction Patients and Individually Sex- and Age-Matched Controls from the General Population

Pre‐ and post‐diagnosis body mass index and heart failure mortality: a dose–response meta‐analysis of observational studies reveals greater risk of being underweight than being overweight

Association of anthropometry and weight change with risk of dementia and its major subtypes: A meta‐analysis consisting 2.8 million adults with 57 294 cases of dementia

Contact Info

Product

Resources

About