Female railway workers are a high-risk group for obesity. Information technology is increasingly used in interventions for weight loss in overweight and obese populations. Daily self-weighing is a cognitive-behavioral strategy for self-monitoring of weight, but its effect on weight loss remains still controversial.

To investigate the effect of daily self-weighing plus online group interaction on weight loss and development of healthy lifestyle in overweight and obese female workers in Beijing Railway Bureau.

A prospective randomized controlled study was conducted. Participants were 72 overweight or obese female workers of Beijing Railway Bureau voluntarily recruited from June 1 to September1, 2019. They were equally randomized into an experimental group and a control group, receiving different weight loss interventions for 3 months (intervention scheme for the experimental group: individualized diet and exercise recommendations, daily self-weighing plus online group-based cognitive-behavioral therapy for weight loss, and that for the control group: individualized diet and exercise recommendations, and self-measurement of body weight with weight management counseling during the telephone or hospital follow-up once a month). Baseline and post-intervention data of both groups were collected, including composition indices (body weight, BMI, body fat percentage, fat content, waist circumference, hip circumference, waist-to-hip ratio), blood lipid indices〔total cholesterol (TC), triacylglyceride (TG), high-density liptein cholesterol (HDL-C), low-density liptein cholesterol (LDL-C) 〕and total score and dimension scores of the Health Promoting Lifestyle Profile-Ⅱ (HPLP-Ⅱ). Univariate and multivariate Logistic regression was used to explore factors associated with a 5% or more weight loss from baseline.

Seventy-one participants (35 cases and 36 controls) who completed the study were finally included for analysis. The each body composition index, each blood lipid index, and total score and dimension scores of the HPLP-Ⅱ were similar in both groups at baseline (P>0.05). After the intervention, the experimental group showed a significant decrease in the body composition indices (except the waist-to-hip ratio), blood lipid indices (except the HDL-C), and a significant increase in the total score and dimension scores of the HPLP-Ⅱ (P<0.05). However, no significant differences were found in each observation index in the control group before and after the intervention (P>0.05). Compared with the control group, the experimental group showed lower post-intervention body composition indices (except the waist-to-hip ratio) and blood lipid indices (except the HDL-C), and higher post-intervention total score and dimension scores of the HPLP-Ⅱ (P<0.05). A total of 22 participants (31.0%) had a weight loss of ≥5% from the baseline, including 16 cases (72.7%), and 6 controls (27.3%). Both univariate and multivariate Logistic regression analyses showed that intervention scheme and baseline nutrition status were the influencing factors of a 5% or more weight loss from baseline.

Daily self-weighing and online group-based cognitive-behavioral interventions contributed to weight loss, formation of a healthy lifestyle, and improvement in quality of life in overweight and obese female workers in Beijing Railway Bureau.

铁路女职工是肥胖的高风险人群，信息化技术被越来越多地应用于超重/肥胖人群的减重干预中，每日自我称重是基于认知干预的体质量自我监控策略，目前其对改善超重/肥胖人群体质量的效果尚存争议。

探讨基于在线互动的每日称重干预对北京铁路局超重/肥胖女职工减重及健康生活方式的影响。

本研究为前瞻性随机对照研究。于2019-06-01至2019-09-01，采用招募志愿者的方式，选取北京铁路局超重/肥胖女职工72例为研究对象，采用随机数字表法1∶1随机分为试验组和对照组各36例，对其进行为期3个月的减重干预。在按个体化饮食、运动建议控制体质量的基础上，试验组采用基于在线互动的每日称重干预，对照组每月测量1次体质量并接受1次随访。观察两组干预前后体成分〔体质量、体质指数（BMI）、体脂率、脂肪含量、腰围、臀围、腰臀比〕和血脂〔总胆固醇（TC）、三酰甘油（TG）、高密度脂蛋白胆固醇（HDL-C）、低密度脂蛋白胆固醇（LDL-C）〕指标水平、健康促进生活方式量表（HPLP-Ⅱ）总得分及各维度得分的变化情况。采用单因素和多因素Logistic回归探究北京铁路局超重/肥胖女职工体质量较基线减轻≥5%的影响因素。

共有71例研究对象完成了随访，其中试验组35例，对照组36例。干预前，两组人群体成分和血脂指标水平、HPLP-Ⅱ总得分及各维度得分比较，差异均无统计学意义（P>0.05）。干预后，试验组人群除腰臀比外的其他体成分指标、除HDL-C外的其他血脂指标水平较干预前下降，HPLP-Ⅱ总得分及各维度得分较干预前升高，差异有统计学意义（P<0.05）；对照组人群体成分和血脂指标水平、HPLP-Ⅱ总得分及各维度得分与干预前相比，差异均无统计学意义（P>0.05）；试验组人群除腰臀比外的其他体成分指标、除HDL-C外的其他血脂指标水平均低于对照组，HPLP-Ⅱ总得分及各维度得分均高于对照组，差异有统计学意义（P<0.05）。22例（31.0%）研究对象体质量较基线降低≥5%，其中16例（72.7%）来自试验组，6例（27.3%）来自对照组。单因素Logistic回归和多因素Logistic回归分析结果均显示，干预组别和基线营养状况是北京铁路局超重/肥胖女职工体质量较基线降低≥5%的影响因素（P<0.05）。

基于在线互动的每日称重干预有助于减轻北京铁路局超重/肥胖女职工的体质量，促进其健康生活方式的形成，改善其生活质量。