Takebe Noriko, Tanno Kozo, Ohmomo Hideki, Hangai Mari, Oda Tomoyasu, Hasegawa Yutaka, Takanashi Nobuyuki, Sasaki Ryohei, Shimizu Atsushi, Sasaki Akira, Sakata Kiyomi, Sasaki Makoto, Ishigaki Yasushi
Division of Diabetes, Metabolism and Endocrinology, Department of Internal Medicine, Iwate Medical University, Yahaba, Japan.
Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba, Japan.
Diabetes Metab Syndr Obes. 2021 May 20;14:2065-2075. doi: 10.2147/DMSO.S300250. eCollection 2021.
It is unclear what kind of modifiable lifestyle factors are associated with long-time weight gain in adulthood. To clarify the lifestyle behavior related to body weight gain since the age of 20 years, we explored the lifestyle risk factor, independently associated with excessive weight gain after 20 years of age as compared to those in subjects with a stable weight, with matching of age, gender, and the current body mass index (BMI).
From baseline data of a general population-based cohort study, we designed a cross-sectional analysis collecting individual data of medical health check-ups and a questionnaire related to lifestyle, including amount of sleep, frequency of eating breakfast, average times per day engaged in walking and sitting in the prior year, and smoking habits. These data were compared between the subjects with weight gain ≥10kg (n=3601) and <10kg (n=3601) after age 20, matched by a propensity score model which included current BMI, age and gender. We used multivariable logistic regressions to assess the lifestyle factor's association with high weight gain.
Participants who gained ≥10 kg were significantly more likely to sleep <5 hours or ≥9 hours per night, skip breakfast, engage in walking <1 hour per day, and sit ≥5 hours per day than those who gained <10kg. Multivariable logistic regressions analyses showed that, with adjusting for potential confounder, the lifestyles with the positive association with high weight gain were skipping breakfast (OR 1.252; 95% CI 1.053-1.489, vs regularly), long sleeping duration (9 hours/day≤ OR 1.613; 95% CI 1.018-2.557 vs 5≤-<7 hours/day), and former smoker (OR 1.163; 95% CI 1.008-1.343 vs never smoker), while walking duration was negatively associated with high weight gain. Furthermore, despite similar current BMI, participants with weight gain ≥10kg had significantly higher values for waist circumference, blood pressure, HbA1c, LDL-C, triglycerides, and hepatic enzyme levels than those with weight gain <10kg. Similarly, the prevalence rates of hypertension, dyslipidemia, metabolic syndrome (MetS), and former smoker were higher in the participants with weight gain ≥10kg.
Major weight gain after 20 years of age was associated with unfavorable lifestyle factors and greater waist circumference, possibly leading to elevated risk for MetS and other non-communicable diseases. These findings highlight the importance of maintaining both weight at age 20 and a favorable lifestyle throughout adulthood.
尚不清楚何种可改变的生活方式因素与成年期长期体重增加相关。为了阐明自20岁起与体重增加相关的生活方式行为,我们探索了与20岁后体重过度增加独立相关的生活方式风险因素,将年龄、性别和当前体重指数(BMI)相匹配,与体重稳定的受试者进行比较。
基于一项以普通人群为基础的队列研究的基线数据,我们设计了一项横断面分析,收集个体的医疗健康检查数据以及一份与生活方式相关的问卷,包括睡眠时间、吃早餐的频率、前一年每天平均步行和久坐的时间以及吸烟习惯。在20岁后体重增加≥10kg(n = 3601)和<10kg(n = 3601)的受试者之间比较这些数据,通过倾向评分模型进行匹配,该模型包括当前BMI、年龄和性别。我们使用多变量逻辑回归来评估生活方式因素与高体重增加之间的关联。
体重增加≥10kg的参与者比体重增加<10kg的参与者更有可能每晚睡眠<5小时或≥9小时、不吃早餐、每天步行<1小时以及每天久坐≥5小时。多变量逻辑回归分析表明,在调整潜在混杂因素后,与高体重增加呈正相关的生活方式有不吃早餐(比值比[OR]1.252;95%置信区间[CI]1.053 - 1.489,与规律吃早餐相比)、睡眠时间长(9小时/天≤ OR 1.613;95% CI 1.018 - 2.557,与5≤ - <7小时/天相比)以及曾经吸烟(OR 1.163;95% CI 1.