Department of Health and Exercise Science, Wake Forest University, Winston-Salem, North Carolina, USA.
Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
J Gerontol A Biol Sci Med Sci. 2022 Oct 6;77(10):2110-2115. doi: 10.1093/gerona/glab324.
The purpose of this study was to examine whether select baseline characteristics influenced the likelihood of an overweight/obese, older adult experiencing a clinically meaningful gait speed response (±0.05 m/s) to caloric restriction (CR).
Individual level data from 1 188 older adults participating in 8, 5/6-month, weight loss interventions were pooled, with treatment arms collapsed into CR (n = 667) or no CR (NoCR; n = 521) categories. Exercise assignment was equally distributed across groups (CR: 65.3% vs NoCR: 65.4%) and did not interact with CR (p = .88). Poisson risk ratios (95% confidence interval [CI]) were used to examine whether CR assignment interacted with select baseline characteristic subgroups: age (≥65 years), sex (female/male), race (Black/White), body mass index (BMI; ≥35 kg/m2), comorbidity (diabetes, hypertension, cardiovascular disease) status (yes/no), gait speed (<1.0 m/s), or inflammatory burden (C-reactive protein ≥3 mg/L, interleukin-6 ≥2.5 pg/mL) to influence achievement of ±0.05 m/s fast-paced gait speed change. Main effects were also examined.
The study sample (69.5% female, 80.1% White) was 67.6 ± 5.3 years old with a BMI of 33.8 ± 4.4 kg/m2. Average weight loss achieved in the CR versus NoCR group was -8.3 ± 5.9% versus -1.1 ± 3.8%; p < .01. No main effect of CR was observed on the likelihood of achieving a clinically meaningful gait speed improvement (risk ratio [RR]: 1.09 [95% CI: 0.93, 1.27]) or gait speed decrement (RR: 0.77 [95% CI: 0.57, 1.04]). Interaction effects were nonsignificant across all subgroups.
The proportion of individuals experiencing a clinically meaningful gait speed change was similar for CR and NoCR conditions. This finding is consistent across several baseline subgroupings.
本研究旨在探讨特定基线特征是否会影响超重/肥胖老年人对热量限制（CR）产生临床有意义的步态速度变化（±0.05 m/s）的可能性。
将参与 8 项、5/6 个月减肥干预的 1188 名老年人的个体水平数据进行汇总，将治疗组分为 CR（n = 667）或非 CR（NoCR；n = 521）组。两组的运动分配均等（CR：65.3% vs NoCR：65.4%），且与 CR 无相互作用（p =.88）。使用泊松风险比（95%置信区间 [CI]）来检验 CR 分配是否与特定的基线特征亚组相互作用：年龄（≥65 岁）、性别（女性/男性）、种族（黑人/白人）、体重指数（BMI；≥35 kg/m2）、合并症（糖尿病、高血压、心血管疾病）状态（是/否）、步态速度（<1.0 m/s）或炎症负担（C 反应蛋白≥3 mg/L，白细胞介素-6≥2.5 pg/mL），以影响达到±0.05 m/s 快速步态速度变化。还检验了主要影响。
研究样本（69.5%女性，80.1%白人）年龄为 67.6 ± 5.3 岁，BMI 为 33.8 ± 4.4 kg/m2。CR 组与 NoCR 组的平均体重减轻量分别为-8.3 ± 5.9%与-1.1 ± 3.8%；p <.01。在实现临床有意义的步态速度改善（风险比 [RR]：1.09 [95% CI：0.93，1.27]）或步态速度下降（RR：0.77 [95% CI：0.57，1.04]）的可能性方面，CR 无主要影响。在所有亚组中，交互作用均无统计学意义。
CR 和 NoCR 条件下，经历临床有意义的步态速度变化的个体比例相似。这一发现与几个基线亚组一致。
