| BACKGROUND:Overweight/obesity seriously affects the health of older adults,and sedentary time(ST)is considered to be a major cause of overweight/obesity.However,the latest study found that the type of sedentary behaviors may be more strongly related to overweight/obesity.Previous investigation has shown that,watching short videos using software such as Dou Yin and Kwai has become one of the most popular types of leisure sedentary behavior for older people in China,especially older women.Therefore,it is necessary to study the relationship between short video viewing,ST and overweight/obesity.OBJECTIVES:This study aimed to examine the dose-effect relationship between ST and short video viewing and overweight/obesity in Chinese community-dwelling older women.METHODS:A Cross-sectional analysis of baseline data from the Physical Activity and Health in Older Women Study was carried out in this study.A total of 1370 communitydwelling older women aged 60-70 years were recruited for the study.Subjects’ sociodemographic data,short video viewing and a range of health-related factors were estimated using a one-on-one interview questionnaire;And ST,10 minutes bouts,30 minutes bouts,60 minutes bouts,moderate-to-high intensity physical activity(MVPA)were objectively measured using a tri-axial accelerometer.Overweight/obesity indicators,including body fat ratio(BFR),fat mass(FM),visceral fat mass(VFM),subcutaneous fat mass(SFM),trunk fat mass(TFM),and limb fat mass(LFM)were assessed using multi-frequency bioimpedance analysis.Multiple linear regression analyses were used to assess the association between ST,10-min bouted ST,30-min bouted ST,60-min bouted ST,short video viewing times,years and contents and overweight/obesity.Two models were set up to examine whether ST related indicators,short video viewing on overweight/obesity were independent of MVPA;the optimal threshold for short video to distinguish overweight/obesity was explored by receiver operator characteristic curve(ROC)and maximum Jorden index.RESULTS:(1)After adjusting for age,economic status,alcohol consumption,chronic disease,living alone,insomnia,anxiety,depression,nutritional status,cognitive level,and accelerometer wear time in Model 1,ST,10-min bouted ST,30-min bouted ST,and 60-min bouted ST were significantly positively and linearly associated with multiple indicators of overweight/obesity;however,all associations between ST,10-min bouted ST,30-min bouted ST,and 60-min bouted ST and indicators of overweight/obesity disappeared after continuing to adjust for objectively measured MVPA in Model 2.(2)In Model 1,an increase of 1 hour of short video viewing per day was associated with an increase in BMI of 0.21 kg/m2(95%CI:0.07,0.34),BFR of 0.35%(95%CI:0.10,0.60),FM of 0.32 kg(95%CI:0.03,0.62),VFM of 0.10 kg(95%CI:0.02,017),0.24 kg(95%CI:0.06,0.49)increase in SFM,0.24 kg(95%CI:0.06,0.42)increase in TFM,and 0.13 kg(95%CI:0.02,0.25)increase in LFM were significantly linearly positively correlated(p<0.05),and in Model 2,continued adjustment for MVPA did not change its significance(p<0.05).(3)In Model 1,compared with no short video viewing,older women who viewed short videos for less than two years had an increase of 0.64 kg/m2 in BMI(95%CI:0.1 6,1.12),1.16%in BFR(95%CI:0.28,2.03),1.27 kg in FM(95%CI:0.26,2.29),0.33 kg in VFM(95%CI:0.06,0.59),0.95 kg in SFM(95%CI:0.19,1.70),0.83 kg in TFM(95%CI:0.20,1.45),and 0.46 kg in LFM(95%CI:0.05,0.87),with statistically significant differences(P<0.05);compared to those who did not watch short videos,older women who watched short videos for more than two years had an increase of 0.72 kg/m2(95%CI:0.28,1.16)in BMI,1.41%in BFR(95%CI:0.61,2.21),1.68 kg in FM(95%CI:0.75,2.62),0.46 kg in VFM(95%CI:0.21,0.70),1.23 kg in SFM(95%CI.0.54,1.93),1.12 kg in TFM(95%CI:0.54,1.70),and 0.57 kg in LFM(95%CI:0.20,0.94),with statistically significant differences.In Model 2,the inclusion of MVPA did not change its significance.Viewing short video for more than two years had higher 3 values than viewing short video for less than two years in all regression models..(4)In Model 1,compared to non-viewing short videos,older women who watched nonfood short videos daily had an increase in BMI of 0.65 kg/m2(95%CI:0.24,1.06),BFR of 1.18%(95%CI:0.43,1.92),FM of 1.43 kg(95%CI:0.57,2.30),VFM of 0.40 kg(95%CI.0.17,0.62),SFM of 1.04 kg(95%CI:0.40,1.68),TFM of 0.96 kg(95%CI:0.42,1.49),and LFM of 0.48 kg(95%CI:0.09,0.77),and the differences were statistically significant(P<0.05);compared with not watching short videos,watching short videos of food BMI increased in 0.94 kg/m2(95%CI:0.24,1.64),BFR increased in 2.10%(95%CI:0.83,3.38),FM increased in 2.03 kg(95%CI:0.54,3.51),VFM increased in 0.45 kg(95%CI:0.07,0.84),SFM increased in 1.56 kg(95%CI:0.46,2.66),TFM increased in 1.25 kg(95%CI:0.33,2.16),and LFM increased in 0.78 kg(95%CI:0.19,1.37),and the differences were statistically significant(P<0.05).In Model 2,the inclusion of MVPA did not change its significance.Viewing short food videos had higher β values than non-food videos in all regression models.(5)According to the ROC curve analysis,the optimal cut-off value for short video viewing time to predict overweight/obesity was 0.75 hours.CONCLUSIONS:(1)ST,10-min bouted ST,30-min bouted ST,and 60-min bouted ST were significantly and linearly positively associated with objectively measured overweight/obesity,however,MVPA was able to offset its effect.(2)Short video viewing was an independent risk factor for overweight/obesity,and MVPA did not offset its association with overweight/obesity.The occurrence of overweight/obesity is not only closely related to the time and years of daily viewing of short videos but also influenced by the content of short video viewing.Watching food short videos may be more likely to lead to the occurrence of overweight and obesity.(3)Reducing short video viewing rather than sedentary time may be an effective strategy to prevent overweight/obesity,and it is suggested that controlling short video viewing time to less than 0.75 hours per day may have a positive effect on avoiding the occurrence of overweight/obesity. |
PDF Full Text Request