Environmental Health and Preventive Medicine
Online ISSN : 1347-4715
Print ISSN : 1342-078X
ISSN-L : 1342-078X
Impact of weight change since a young age on cardiovascular mortality risk: a pooled analysis of Japanese epidemiological evidence
Ahmed Arafa Rena KashimaYoshihiro Kokubo
Author information
JOURNAL OPEN ACCESS FULL-TEXT HTML

2022 Volume 27 Pages 9

Details

Dear editor,

The relationship between weight change since a young age and the risk of cardiovascular disease (CVD) mortality among Japanese is not well-established. Herein, we conducted a quick literature search and review of studies investigating this association before combing the results of eligible studies in a pooled analysis.

First, we searched PubMed for potential studies published in English before the 10th of December 2021 using the following terms: (weight change) AND (cardiovascular mortality) AND (Japan). Then, we conducted a manual search of the reference lists of retrieved articles to obtain additional studies. Our eligibility criteria included: 1) the exposure was weight change since a young age, 2) the outcome was CVD mortality, 3) the study had a prospective cohort design, and 4) the study investigated Japanese populations. We did not set limitations regarding publication year.

Eventually, four studies were eligible. The included studies used data from Japan Public Health Center-based prospective Study (JPHC) [1], the Ohsaki Study [2], Japan Collaborative Cohort Study (JACC) [3], and the Suita Study [4]. All studies were population-based with prospective cohort designs. The age ranges of participants were as follows: JPHC: 40–69 years, Ohsaki: 40–79 years, JACC: 40–79 years, and Suita: 30–79 years. Weight at age 20 was assessed using a question in the baseline questionnaires of the four studies asking participants to recall their weight at age 20. The definitions of maximum weight gain, maximum weight loss, and stable weight differed across the four studies; JPHC: ≥5, ≤−5, and ±4.9 kg, Ohsaki: ≥10, ≤−10, and ±4.9 kg, JACC: ≥12.5, ≤−12.5, and ±2.4 kg, and Suita >10, <−10, and ±4.9 kg, respectively. Mortality surveillance was conducted by systematically reviewing death certificates and CVD mortalities were assigned by ICD codes. The four studies had lengthy median follow-up periods: JPHC: 12.9 years, Ohsaki: 13.3 years, JACC: 19.1 years, and Suita: 19.9 years.

Then, we extracted the hazard ratios (HRs) with 95% confidence intervals (CIs) of CVD mortality for maximum weight gain and loss categories compared to stable weight categories in the most adjusted models. Later, we calculated the pooled HR (95% CI) of the four studies for weight gain and weight loss using the random-effects model, assuming that the underlying effects were different across studies [5]. Besides, we performed the I2 statistic to evaluate heterogeneity across studies and the test for funnel plot asymmetry to detect publication bias [6, 7]. The risk of bias was assessed by the first- and last-place authors using the modified Newcastle–Ottawa Scale based on studies’ selection, comparability, and outcome [8].

In the pooled analysis, maximum weight loss was associated with increased CVD mortality risk: 1.44 (1.31, 1.58). Maximum weight gain, on the other hand, was not associated with CVD mortality risk: 1.01 (0.83, 1.23). No signs of heterogeneity across studies were detected in the weight loss pooled analysis (I2 = 0.0%), but heterogeneity could be detected in the weight gain pooled analysis (I2 = 78.8%) (Fig. 1). No publication bias was identified in weight loss (z = 0.28 and p = 0.78) and weight gain (z = −0.84 and p = 0.40) pooled analyses. None of the included studies carried any significant risk of bias. Of note, JPHC, Ohsaki, and Suita stratified their results by age and concluded no significant impact of age on the association between weight change and CVD mortality.

Fig. 1

Weight change since age 20 and cardiovascular mortality risk

Our study concluded that excess weight loss since age 20 could be associated with the increased risk of CVD mortality among Japanese. Worsening chronic diseases, pre-existing medical conditions, sarcopenia, and loss of the beneficial peripheral subcutaneous fat were suggested as explanations for this association [14].

Still, some limitations should be considered. First, the long-term recall of weight might have carried a potential risk of recall bias in the four studies, yet strong correlations between recalled and measured weights were detected in a previous Japanese study [9], suggesting that recall bias did not materially affect the results. Second, the four studies did not clarify whether weight change was intentional or not. A previous meta-analysis suggested that unintentional, but not intentional, weight loss was associated with a higher risk of mortality [10]. Third, residual confounding cannot be excluded because of the observational nature of the included studies.

Abbreviations
CI

Confidence Interval

CVD

Cardiovascular Disease

HR

Hazard Ratio

JACC

Japan Collaborative Cohort study

JPHC

Japan Public Health Center-based prospective study

Declarations

Ethical considerations

Not applicable.

Consent for publication

All authors approved the manuscript.

Data availability

Not applicable.

Competing interests

None to declare.

Funding

This study was supported by the Intramural Research Fund (20-4-9) for the cardiovascular diseases of the National Cerebral and Cardiovascular Center, JST Grant Number JPMJPF2018, the Meiji Yasuda Research Institute, Inc., and Meiji Yasuda Life Insurance Company.

Authors’ contributions

AA and YK (conceptualization and review literature), AA (draft writing and data analysis), YK (supervision), and AA, RK, and YK (critical revision and editing).

Acknowledgments

We would like to thank Prof Iso from Osaka University Graduate School of Medicine.

References
 
© The Author(s) 2022.

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
http://creativecommons.org/licenses/by/4.0/
feedback
Top