日本成年人三种生活方式行为的轨迹模式及其后的健康状况:利用健康体检数据库进行的回顾性纵向研究。

IF 1.5 Q2 MEDICINE, GENERAL & INTERNAL JMA journal Pub Date : 2024-10-15 Epub Date: 2024-10-03 DOI:10.31662/jmaj.2024-0076
Tetsuya Tajima, Rieko Kanehara, Makoto Fujii, Shiori Tanaka, Jun Umezawa, Yuko Ohno, Manami Inoue
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引用次数: 0

摘要

简介尽管世界各地都有关于生活方式行为随时间推移而发生的变化与癌症和心血管疾病风险之间关系的记载,但专门针对日本人口的证据仍然有限。本研究旨在阐明生活方式行为的轨迹及其与健康状况的关系:我们分析了 2005 年至 2019 年日本医疗数据中心索赔数据库中的健康体检数据,特别是连续接受 10 次年度体检的人的数据。我们将吸烟、饮酒频率和定期锻炼习惯作为暴露因素。我们采用了基于群体的轨迹模型来估计三种暴露的单一和多重轨迹模式。此外,还采用线性混合效应模型评估了轨迹模式与健康状况(体重指数、收缩压、低密度脂蛋白胆固醇和 HbA1c)纵向变化之间的关联:这项研究包括 51,064 名年龄在 20-59 岁的日本受试者的首次健康检查。我们确定了七个轨迹组别(1-7 组),这些组别的受试者比例较高,顺序如下:第 3 组(不运动,31.0%)、第 5 组(长期吸烟,26.9%)和第 2 组(每天饮酒,11.0%)。观察到的唯一生活方式行为变化是戒烟。第 3 组和第 5 组的 sBP(第 3 组:β = 1.18,标准误差 [SE] = 0.60,p = 0.05;第 5 组:β = 1.33,SE = 0.61,p < 0.05)和 LDL 胆固醇水平(第 3 组:β = 3.80,SE = 1.36,p < 0.05;第 5 组:β = 3.04,SE = 1.37,p < 0.05)均高于不吸烟、不饮酒和经常锻炼组。第 2 组的 sBP 明显较高(β = 2.43,SE = 0.62,p < 0.001),并观察到随时间变化的交互效应(p < 0.05):结论:定期锻炼、戒烟戒酒对避免健康状况恶化至关重要。
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Trajectory Patterns of Three Lifestyle Behaviors and Subsequent Health Conditions in Japanese Adults: A Retrospective Longitudinal Study Using a Health Checkup Database.

Introduction: Although the associations between lifestyle behavioral changes over time and the risks of cancer and cardiovascular diseases are documented worldwide, evidence specific to the Japanese population remains limited. This study aimed to elucidate the trajectories of lifestyle behaviors and their associations with health conditions.

Methods: We analyzed health checkup data from the Japan Medical Data Center Claims Database from 2005 to 2019, specifically those of individuals who underwent 10 consecutive annual checkups. We focused on smoking, frequency of drinking alcohol, and regular exercise habits as the exposure factors. A group-based trajectory model was employed to estimate the patterns of single and multiple trajectories for three exposures. Furthermore, a linear mixed-effects model was used to assess the association between trajectory patterns and longitudinal changes in health conditions (body mass index, systolic blood pressure [sBP], LDL-cholesterol, and HbA1c).

Results: This study included 51,064 Japanese subjects aged 20-59 years at their initial health checkup. We identified seven trajectory groups (Groups 1-7) that represented a high percentage of subjects in the following order: Group 3 (inactive, 31.0%), Group 5 (long-term smoking, 26.9%), and Group 2 (daily drinkers, 11.0%). The only lifestyle behavioral change observed was smoking cessation. Groups 3 and 5 exhibited higher sBP (Group 3: β = 1.18, standard error [SE] = 0.60, p = 0.05; Group 5: β = 1.33, SE = 0.61, p < 0.05) and LDL-cholesterol levels (Group 3: β = 3.80, SE = 1.36, p < 0.05; Group 5: β = 3.04, SE = 1.37, p < 0.05) than the nonsmoking, nondrinking, and regular exercise groups. Group 2 exhibited significantly high sBP (β = 2.43, SE = 0.62, p < 0.001), with an observed interaction effect over time (p < 0.05).

Conclusions: Regular exercise and abstinence from smoking and drinking may be essential to avoid deterioration of health conditions.

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