Are longitudinal reallocations of time between movement behaviours associated with adiposity among elderly women? A compositional isotemporal substitution analysis.

BACKGROUND: This study aimed to use compositional data analysis to: (1) investigate the prospective associations between changes in daily movement behaviours and adiposity among elderly women; and (2) to examine how the reallocation of time between movement behaviours was associated with longitudinal changes in adiposity. SUBJECTS/METHODS: This is a 7-year longitudinal study in Central European older women (n = 158, baseline age 63.9 ± 4.4 years). At baseline and follow-up, light-intensity physical activity (LIPA), moderate-to-vigorous physical activity (MVPA) and sedentary behaviour were measured by accelerometer and body adiposity (body mass index [BMI], body fat percentage [%BF]) was assessed from measured height and weight and bioelectrical impedance analyser. Compositional regression with robust estimators and compositional longitudinal isotemporal substitution analysis explored if, and how, changes in movement behaviours were associated with adiposity. RESULTS: Over 7 years, the prevalence of obesity in the sample increased by 10.1% and 14.6% according to BMI and %BF, respectively, and time spent in sedentary behaviour increased by 14%, while time spent in LIPA and MVPA decreased by 14% and 21%, respectively. The increase in sedentary behaviour at the expense of LIPA and MVPA during the 7-year period was associated with higher BMI and %BF at follow-up (both p < 0.01). The increase in LIPA or MVPA at the expense of sedentary behaviour was associated with reduced BMI and %BF at follow-up. In our sample, the largest change in BMI (0.75 kg/m2; 95% confidence interval [CI]: 0.37-1.13) and %BF (1.28 U; 95% CI: 0.48-2.09) was associated with longitudinal reallocation of 30 min from MVPA to sedentary behaviour. CONCLUSIONS: We found an association between longitudinal changes in daily movement behaviours and adiposity among elderly women in Central Europe. Our findings support public health programmes to increase or maintain time spent in higher-intensity physical activity among elderly women.

Maintaining everyday life praxis in the time of COVID-19 pandemic measures (ELP-COVID-19 survey).

BACKGROUND: The extreme social circumstances caused by declared COVID-19 pandemic deeply intervene people's everyday life and should not be neglected but seen through the view of social reality pinpointing the 'ordinary' people. In this article, authors explored basic segments of everyday and their subjective perception to what extent sleeping habits, physical inactivity, physical activity, nutritional habits and smoking have changed. METHODS: The online survey was conducted in nine European countries (Bosnia and Herzegovina, Croatia, Greece, Kosovo*, Italy, Serbia, Slovakia, Slovenia and Spain) in 4108 participants, aged 15-82 years. The survey took place 30-40 days after World Health Organization declared COVID-19 pandemic state, from 15 April to 3 May 2020. RESULTS: The results have shown 30 min longer sleeping time, 50% longer physical inactivity time, 65% longer screen time, 43% shorter walking time, 24% shorter sport time and 37% longer physical work time. Additionally, body mass gains (0.3 kg) could be explained in 20.6% with meals sizes, unhealthy food consumption, screen time and sport time. Further, respondents reported more regular meals (44%) and healthier meals with less alcohol consumption and less smoking, which have been positive outcomes of home confinement. CONCLUSION: The findings draw attention to negative changes in everyday praxis (inactivity, body mass gain) after such a short period. Because of possible risk to population's health (especially of countries such as Italy and Spain with serious threat and more stringent measures), findings enable development of recommendations for maintaining healthy lifestyle habits with minimal negative health consequences in similar pandemic circumstances.

Sedentary behaviour and adiposity in community-dwelling women aged 55 and older.

This study aimed to describe sedentary behaviour in detail and assess its association with adiposity in older adult women. Data from 314 community-dwelling women (mean age 66.6 ± 6.5 years) from Czech Republic, Poland, and Slovakia were analyzed. Fat mass percentage was used as an indicator of adiposity, measured by bioelectrical impedance analysis. The patterns of sedentary behaviour were monitored using an accelerometer, and 1-9, 10-29 and 30 min. bouts were analyzed. We performed a multiple linear regression analysis to assess the association between variables. There was a significant association of fat mass percentage with time spent in bouts with a duration 10-29 min. (β = 0,03, p < 0,01) and the frequency of all analyzed bouts (β ranging -0,08-0,6; p < 0,05) which was independent of age, physical activity, demographic, socio-economic and health factors. Our results suggest that the sedentary behaviour patterns are significantly associated with adiposity. Reducing of sedentary time should be considered when planning a prevention programs or interventions.

Device-Measured Physical Activity, Sedentary Behaviors, Built Environment, and Adiposity Gain in Older Women: A Seven-Year Prospective Study.

The search for determinants of adiposity gain in older women has become vitally important. This study aimed to (1) analyze the adiposity gain based on the participants' age and (2) determine the prospective associations of baseline intrapersonal, built environment, physical activity, and sedentary behavior variables with the adiposity gain in older women. This was a seven-year prospective study (baseline: 2009 to 2012; follow-up: 2016 to 2019) in older women (n = 178, baseline age = 62.8 ± 4.1 years). Baseline and follow-up adiposity (bioelectrical impedance) and baseline physical activity, sedentary behavior (accelerometers), and intrapersonal and built environment (Neighborhood Environment Walkability Scale questionnaire) variables were included. The body mass index (BMI) increment tended to be inversely associated with the women's age (p = 0.062). At follow-up, 48, 57, and 54% of the women had a relevant increase (d-Cohen > 0.2) in their BMI, percentage of body fat, and fat mass index, respectively. The women that spent ≥8 h/day being sedentary were 2.2 times (1.159 to 4.327 CI95%, p < 0.02) more likely to increase BMI (0.82 to 0.85 kg/m2) than non-sedentary women. No built environment variables were associated with seven-year adiposity gain (all ps > 0.05). A reduction in sedentary time should be promoted for adiposity gain prevention and health preservation in older women.

Prospective study on sedentary behaviour patterns and changes in body composition parameters in older women: A compositional and isotemporal substitution analysis.

BACKGROUND & AIMS: The aims of this study were to examine the prospective compositional associations between sedentary behaviour (SB) patterns and longitudinal changes in body composition parameters, and to use compositional isotemporal substitution modelling to analyse the longitudinal changes in body composition parameters associated with time reallocation from SB to physical activity (PA) in older women. METHODS: The study included women aged 60 years and older (n = 182) with valid data at baseline and at the subsequent 7-year follow-up. For both time points, the ActiGraph GT1M accelerometer was used for SB and PA assessments and multi-frequency bioimpedance analysis was used to assess the body composition parameters related to adiposity and muscle mass. Compositional regression models were used to analyse the associations between proportion of time spent in sedentary bouts of different duration and longitudinal changes in body composition parameters. A compositional isotemporal substitution model was created to estimate the differences in body composition parameters associated with one-to-one time reallocations between baseline SB and PA. RESULTS: A significant increase in fat mass index (ßilr1 = 0.61, 95% confidence interval [CI]: 0.18, 1.04) and visceral adipose tissue (ßilr1 = 6.01, 95% CI: 1.52, 10.5) was associated with a higher baseline proportion of time spent in long sedentary bouts (i.e. sedentary bout of ≥30 min). Reallocating 1 h/week and 3.5 h/week from the time spent in long sedentary bouts in favour of light PA was associated with a significant decrease in fat mass index by 0.78% (95% CI: 0.24, 1.32) and 3.13% (95% CI: 0.97, 5.29), respectively. No association was found for indicators of muscle mass. CONCLUSIONS: This study suggests that long-term adiposity status could be improved by increasing the proportion of time spent in light PA at the expense of time spent in prolonged SB. This finding may help in designing more effective and feasible interventions for the maintenance of healthy body composition in advanced age.

Association between physical activity (PA) guidelines and body composition variables in middle-aged and older women.

The aim of this study was to investigate the association between volume and frequency of moderate-intensity PA and step-based recommendations and individual body composition variables. Our cohort included 167 healthy ambulatory women (mean age 62.8 ± 4.8 years; body mass index [BMI] 27.3 ± 4.2 kg/m(2)) who carried out daily activities while wearing the ActiGraph GT1M accelerometer over a seven day period. Measurements of BMI, body fat mass index (BFMI), fat-free mass index (FFMI), waist-hip ratio (WHR) and visceral fat area (VFA) were obtained by the InBody 720 multifrequency bioelectrical impedance analysis (MFBIA) device. The significant relationship (r(s)=0.66; p<0.05) was found between moderate PA and steps per day. Moderate PA (r(2)=0.03-0.06) and steps per day (r(2)=0.05-0.20) were significantly associated with observed body composition parameters. Women spending > 300 min/week in moderate PA showed significantly lower values of BFMI (p=0.02) than those who spent 150-300 min/week. Carrying out moderate PA for 30 min 5 days a week was significantly associated with lower BMI (p=0.04; η(2)=0.02), BFMI (p=0.02; η(2)=0.03) and VFA (p=0.03; η(2)=0.03). In addition, higher amounts of daily steps were significantly associated with lower BMI (p=0.00; η(2)=0.16), BFMI (p=0.00; η(2)=0.21), VFA (p=0.00; η(2)=0.20) and WHR (p=0.00; η(2)=0.13). A clear association was found between the generally recommended PA guidelines and body composition variables for the women examined in this study. However, the concept of 10,000 steps/day appears to be the strongest predictor of health-related body composition values.