Physical activity and sedentary behaviour in Czech adults: results from the GPAQ study

Comparing domain- and intensity-specific physical activity in coronary heart disease and non-CHD individuals

Although increase in physical activity is important to improve prognosis of cardiac patients in addition to hospital-based exercise cardiac rehabilitation, their physical activity levels are not properly understood. This study aimed to examine domain- and intensity-specific physical activity in individuals with coronary heart disease (CHD) and compare them with non-CHD individuals. Data from the Korean National Health and Nutrition Examination Survey (KNHANES) from 2014 to 2019 were analyzed, including 1083 CHD patients and 38,532 non-CHD individuals. The inclusion criteria were age 19 years or older and data not missing for CHD information. Before and after propensity score matching (PSM) for age, sex, body mass index, education, household income, alcohol intake, and smoking status, domain (leisure, work, transportation)-and intensity (moderate, vigorous) -specific physical activity participation levels were compared between individuals with and without CHD. Before PSM, CHD individuals were older, less educated, more sedentary, and participated less in PAs compared to non-CHD individuals. After PSM, CHD individuals had similar levels of domain-specific PAs. However, they had higher work-related PA levels (29.7 ± 209.6 vs. 42.1 ± 291.3 min/week p = 0.022) and more sedentary time (487.2 ± 224.2 vs. 514.1 ± 228.7. p = 0.003) than those without CHD. Subgroup analysis revealed lower leisure-related PA in men with CHD (63.5 ± 165.5 vs. 47.3 ± 140.2, p < 0.05) and higher work-related PA in women with CHD (18.9 ± 159.7 vs. 57.1 ± 397.5, p < 0.01). Among those < 65 years of age, individuals with CHD spent more time sedentary than individuals without CHD. CHD individuals are not physically inactive compared with non-CHD individuals who are similar in sociodemographic status and lifestyle. CHD patients' PA levels may have been underestimated.

Aral Sea environmental disasters area population's physical activity level assessment - the first step for targeted health promotion

OBJECTIVE

Aim: We aimed to assess the physical activity and sedentary behavior of the population living in the Aral Sea area using the Global Physical Activity Questionnaire.

PATIENTS AND METHODS

Materials: Data was collected from seven out-patient settings involving 445 participants (47.6% females, 52.4% males). The age of 33.6% of respondents was over 65.

RESULTS

Results: Nearly a quarter (23.5%) of the participants did not meet World Health Organization physical activity recommendations. The Median Time spent on physical activity in recreation in all dispensaries among males (Md=34.29, IQR=66.43) was signif i cantly higher (Z=-4.78, p<0.001) than females (Md=12.86, IQR=51.43). A signif i cant association was observed between transport-related physical activity and gender (χ2= 5.60, p=0.018). The average percentage that comes from recreation-related activities among males (M=43.69, SD=26.90) was more signif i cant (MD=6.27, 95% CI: 0.46, 12.07) as compared to that of females (M=37.43, SD=31.66). A signif i cant association was observed between engagement in vigorous activity and gender (χ2= 30.77, p<0.001).

CONCLUSION

Conclusions: Environmental, economic, demographic, and cultural peculiarities of the Aral Sea area should be considered in elaborating specif i c health promotion programs to shift health-harming ambient into health-improving environment.

Movement matters: short-term impacts of physical activity on mood and well-being

Few studies have investigated the short-term, momentary relationships between physical activity (PA) and well-being. This study focuses on investigating the dynamic relationships between PA and affective well-being among adults with type 1 diabetes. Participants (n = 122) wore an accelerometer and completed daily EMA surveys of current activities and affective states (e.g., happy, stressed, excited, anxious) via smartphone over 14 days. Within-person, increased sedentary time was associated with less positive affect (r =  - 0.11, p < 0.001), while more PA of any intensity was associated with greater positive affect and reduced fatigue, three hours later. Between-person, increased light PA was associated with increased stress (r = 0.21, p = 0.02) and diabetes distress (r = 0.30, p = 0.001). This study provides evidence that positive affect and fatigue are predicted by previous activity regardless of the different activities that people engaged in. Positive affect increased after engaging in PA. However, participants with higher amounts of light PA reported higher stress ratings.

Physical Inactivity and Sedentary Behaviour among Panamanian Adults: Results from the National Health Survey of Panama (ENSPA) 2019

Physical inactivity (PI) has been described as an independent risk factor for a large number of major non-communicable diseases and is associated with an increased risk of premature death. Additionally, sedentary behaviour has been associated with increased overall mortality. We estimated the national prevalence of PI and sedentary behaviour using the Global Physical Activity Questionnaire version 2. Using unconditional logistic regressions, the possible risk factors for PI were assessed. Over half of the people included in this study (54.9%; 95% CI: 54.1-57.3%) were physically inactive, with the median time spent engaged in sedentary behaviour being 120 min per day. Statistically significant associations with PI were observed with regard to sex, living area, and alcohol consumption. PI prevalence in Panama was elevated and showed a sex difference (women: 64.7%, 95% CI: 63.7-66.7%; men: 43.4%, 95% CI: 41.5-47.5%). According to our analysis of three-domain-related physical activities, the main contribution to the total estimated energy expenditure of physical activity/week came from the transport domain, followed by the work/household domain, and the least significant contributor was consistently the domain of exercise- and sports-related physical activities.

Association between electronic device use and health status among a middle-aged and elderly population: a cross-sectional analysis in the UK Biobank

Aim

Few previous studies have investigated the impact of multiple types of electronic devices on health status, and the moderating effects of gender, age, and BMI. Our aim is to examine the relationships between the use of four types of electronics and three health status indicators in a middle-aged and elderly population, and how these relationships varied by gender, age, and BMI.

Subject and methods

Using data from 376,806 participants aged 40-69 years in the UK Biobank, we conducted a multivariate linear regression to estimate the association between electronic device use and health status. Electronics use was categorized as TV watching, computer use, computer gaming, and mobile phone use, and health status included self-rated health (SRH), multisite chronic pain (MCP), and total physical activity (TPA). Interaction terms were utilized to assess whether the above associations were modified by BMI, gender, and age. Further stratified analysis was performed to explore the role of gender, age, and BMI.

Results

Higher levels of TV watching (BSRH = 0.056, BMCP = 0.044, BTPA= -1.795), computer use (BSRH = 0.007, BTPA= -3.469), and computer gaming (BSRH = 0.055, BMCP = 0.058, BTPA= -6.076) were consistently associated with poorer health status (all P < 0.05). Contrastingly, earlier exposure to mobile phones (BSRH = -0.048, BTPA= 0.933, BMCP = 0.056) was inconsistent with health (all P < 0.05). Additionally, BMI (Bcomputer use-SRH= 0.0026, Bphone-SRH= 0.0049, BTV-MCP= 0.0031, and BTV-TPA= -0.0584) exacerbated the negative effects of electronics use, and male (Bphone-SRH = -0.0414, Bphone-MCP = -0.0537, Bphone-TPA= 2.8873) were healthier with earlier exposure to mobile phones (all P < 0.05).

Conclusion

Our findings suggest that the adverse health effects associated with watching TV, computer use, and computer gaming were consistent and were moderated by BMI, gender, and age, which advances a comprehensive understanding of the association between multiple types of electronic devices and health status, and provides new perspectives for future research.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10389-023-01886-5.

Temporal relationship between sleep duration and obesity among Chinese Han people and ethnic minorities

BACKGROUND

No studies have assessed the association between sleep duration and obesity in Chinese ethnic minorities. Whether the relationship between sleep duration and obesity is different between Chinese Han people and Chinese ethnic minorities remains unclear. The study aimed to explore the relationship between sleep duration and obesity among Chinese Han people and Chinese ethnic minorities.

METHODS

We applied data from the Guizhou Population Health Cohort Study (GPHCS), which 9,280 participants were recruited in the baseline survey from 2010 to 2012, and 8,163 completed the follow-up survey from 2016 to 2020. A total of 5,096 participants (3,188 Han Chinese and 1,908 ethnic minorities) were included in the ultimate analysis. Information on sleep duration (total 24-hour sleep time), body mass index (BMI), and waist circumference (WC) was collected at the baseline and follow-up survey, respectively. Cross-lagged panel analyses were conducted to explore the temporal relationship between sleep duration and obesity for Han people and ethnic minorities.

RESULTS

For Han people, the results from cross-lagged panel analyses indicated that baseline sleep duration was significantly associated with follow-up BMI (β_BMI = -0.041, 95% CI_BMI: -0.072 ~ -0.009) and follow-up WC (β_WC = -0.070, 95%CI_WC: -0.103 ~ -0.038), but baseline BMI (β_BMI = -0.016, 95% CI_BMI: -0.050 ~ 0.018) and baseline WC (β_WC = -0.019, 95% CI_WC: -0.053 ~ 0.016) were not associated with follow-up sleep duration. In addition, the relationship between baseline sleep duration and follow-up BMI was gender-specific and significant only in the Han people female (β_BMI = -0.047, 95% CI_BMI: -0.090 ~ -0.003) but not in the Han people male (β_BMI = -0.029, 95% CI_BMI: -0.075 ~ 0.016). For ethnic minorities, the results indicated that there was no relationship between sleep duration and obesity at all, either from sleep duration to obesity (β_BMI = 0.028, 95%CI_BMI: -0.012 ~ 0.068; β_WC = 0.020, 95%CI_WC: -0.022 ~ 0.062), or from obesity to sleep duration (β_BMI = -0.022, 95%CI_BMI: -0.067 ~ 0.022; β_WC = -0.042, 95%CI_WC: -0.087 ~ 0.003).

CONCLUSION

The relationship pattern between sleep duration and obesity across Han people and ethnic minorities is different. Future sleep-aimed overweight and obesity intervention should be conducted according to population characteristics.

Changes in mortality of Polish residents in the early and late old age due to main causes of death from 2000 to 2019

Purpose

The aim of the study was to assess mortality trends in Poland between 2000 and 2019 in the early and late old age population (65-74 years and over 75 years).

Methods

The work used data on all deaths of Polish residents aged over 65 years (N = 5,496,970). The analysis included the five most common major groups of causes of death: diseases of the circulatory system, malignant neoplasms, diseases of the respiratory system, diseases of the digestive system and external causes of mortality. The analysis of time trends has been carried out with the use of joinpoint models. The Annual Percentage Change (APC) for each segments of broken lines, the Average Annual Percentage Change (AAPC) for the whole study period (95% CI), and standardized death rates (SDRs) were calculated.

Results

The percentage of deaths due to diseases of the circulatory system decreased in all the studied subgroups. Among malignant neoplasms, lung and bronchus cancers accounted for the largest percentage of deaths, for which the SDRs among men decreased, while those among women increased. In the early old age, the SDR value increased from 67.8 to 76.3 (AAPC = 0.6%, p > 0.05), while in the late old age group it increased from 112.1 to 155.2 (AAPC = 1.8%, p < 0.05). Among men, there was an upward trend for prostate cancer (AAPC = 0.4% in the early old age group and AAPC = 0.6% in the late old age group, p > 0.05) and a downward trend for stomach cancer (AAPC -3.2 and -2.7%, respectively, p < 0.05). Stomach cancer also showed a decreasing trend among women (AAPC -3.2 and -3.6%, p < 0.05). SDRs due to influenza and pneumonia were increasing. Increasing trends in mortality due to diseases of the digestive system in women and men in the early old age group have been observed in recent years, due to alcoholic liver disease. Among the external causes of mortality in the late old age group, the most common ones were falls.

Conclusions

It is necessary to conduct further research that will allow to diagnose risk and health problems of the elderly subpopulation in order to meet the health burden of the aging society.

Validation of the 24-hour perceived exertion recall survey (PERS) in women in rural Tigray, Ethiopia

Background

Physical activity affects nutritional status and health. Currently, there are few validated survey tools for estimating physical activity in rural areas of low-income countries, including Ethiopia, which limits the ability of researchers to assess how physical activity affects nutritional status.

Objectives

This study used accelerometry to validate 2 in-person questionnaires, the global physical activity questionnaire (GPAQ) and the 24-h perceived exertion recall survey (PERS).

Methods

This study recruited 180 women aged between 18 and 45 y living in rural Tigray, Ethiopia. Participants had previously participated in an impact evaluation of a public work safety net. They wore an accelerometer for 8 d and responded to perceived exertion questionnaires twice. Data were collected on 89 women during the short rainy period and 91 women during the main rainy season. A survey method was considered valid if the proportion of time spent in moderate or vigorous physical activity (MVPA) levels had a Pearson's correlation coefficient of >0.40 to the proportion of time spent in MVPA recorded by accelerometry.

Results

The GPAQ had high reliability, but the overall validity was poorer than accelerometry. The proportion of time spent in MVPA according to the accelerometer was associated with discordance between GPAQ and accelerometry. MVPA levels, as measured by the 24-h PERS, had a fair agreement with accelerometry. The agreement increased to moderate/acceptable when adjusted for season and BMI.

Conclusions

The 24-h PERS is a valid tool for estimating the physical activity of women living in rural highland Ethiopia. It can be used in future research to understand the physical activity demands of living in rural highland Ethiopia, enabling more targeted programs to address undernutrition.

Physical Activity versus Selected Health Behaviors, Subjective Physical and Psychological Health and Multimorbidity in a Large Cohort of Polish Seniors during the COVID-19 Pandemic (Results of the National Test for Poles' Health )

National Test for Poles' Health is an online study conducted on a large group of Polish Internet users. For the purpose of this study, 64,732 subjects (48.8% female) over 65 years old were included. Subjects provided answers on the level of physical activity (PA) they engage in, prevalence of non-communicable diseases (obesity, hypertension, diabetes, heart diseases, chronic obstructive pulmonary disease (COPD), depression, cancer) and subjective physical and psychological health. Additionally, their Body Mass Index (BMI) and prevalence of multimorbidity was assessed. We found that older people who engage in at least 2 h of physical activity/week had significantly lower prevalence of hypertension, obesity and heart diseases than those who engaged in 1-1.5 h/week or less than 1 h/week. Multimorbidity was present in 33.2% of subjects from the most active group and 52.6% of the least active ones. Subjective physical and psychological health was rated as "very good" by 26.6% and 41.2%, respectively, by subjects from the most active group. Only 9.1% of the least active subjects rated their physical health as "very good" and only 27.4% rated their psychological health as such. Regular physical activity may be a helpful tool in combating the reduced well-being of older people affected by the isolation caused by the COVID-19 pandemic. Unfortunately, over 65% of respondents claimed to engage in less than 1 h of PA a week or less.

Sex differences in the change of exercise behavior leading to incident metabolic syndrome reduction: A community-based prospective study

This study was undertaken to assess the role of sex differences in the effects of exercise behavior change on incident metabolic syndrome (MetS) in Changhua County, Taiwan. Using data derived from the Changhua Community-based Integrated Screening (CHCIS), 22,594 eligible residents aged 40 years or older had the screening at least twice from 2005 to 2018. A prospective cohort study was designed to follow up the normal cohort without MetS at baseline to ascertain incident MetS in the light of the criteria of the Epidemiology Task Force Consensus Group. We then evaluated whether there was a sex difference in the outcome of incident MetS attributed to the change in exercise behavior from three (no, irregular, and regular exercise) maintained patterns already defined at baseline to either the enhanced pattern or the reduced pattern by the end of follow-up. We applied Cox proportional hazards regression model stratified by sex for estimating the hazard ratio of any two-group comparison. After adjustment for sociodemographic factors, the number of screenings attended, personal disease history, and other health behaviors, the influence of change in exercise behavior on incident MetS was statistically significant only in men. Specifically, maintaining no exercise showed a lower risk of MetS than maintaining regular exercise 21 % in men. Regarding the change in exercise behavior, men with the enhanced pattern reduced the risk of MetS by 15 % compared with those maintaining regular exercise. The findings suggest that positive changes in exercise behavior reduce the incidence of MetS in men but not in women.

The Impact of COVID-19 on the Health-Related Behaviours, Mental Well-Being, and Academic Engagement of a Cohort of Undergraduate Students in an Irish University Setting

Given the well-established impact of COVID-19 on university students' health and lifestyle parameters, the current study sought to investigate these impacts within an Irish university setting. A cross-sectional design was employed, with a 68-item questionnaire instrument disseminated to all Year 2 undergraduate students in the host institution (N = 2752), yielding a 9.7% response rate (n = 266). This questionnaire elicited students' self-reported changes to health-related behaviours, mental well-being and academic engagement across 4 defined time-points: (T0: prior to COVID-19, T1: initial onset of COVID-19, T2: during COVID-19, and T3: time of data collection). Many items were adapted from previous Irish research and additional validated scales included the Alcohol Use Disorders Identification Test (AUDIT-C) and the World Health Organisation's Well-being scale (WHO-5). Key findings revealed that at T1, substantially more males reported 'good/very good' general health than females (76.3% vs. 70.8%), while physical activity patterns followed a similar trend at both T0 (80% vs. 66.1%) and T1 (66.7% vs. 61%). A total of 78.4% of participants reported a body mass gain from T0 to T3, thus reflecting the reduced physical activity levels and compromised nutritional patterns across this period. Worryingly, AUDIT-C scale data revealed hazardous drinking habits were evident in both males and females, while fruit and vegetable intake, physical activity levels, and mental well-being among this cohort remained notably sub-optimal. Ratings of positive academic engagement also decreased substantially between T0 (90.3%) and T3 (30.4%). These findings substantiate the rationale for tailored health promotion interventions in university settings to support students' transition back to traditional programme delivery and, of equal importance, to improve general health and well-being post-COVID-19 within this cohort.

Association of Self-Reported Depression Symptoms with Physical Activity Levels in Czechia

Worldwide, depressive disorder is one of the leading determinants of disability-adjusted life years. Although there are benefits associated with a higher physical activity (PA) level, there is a lack of information related to this relationship, especially in countries such as Czechia, where modern approaches to mental health care only recently emerged. The present study aimed to evaluate the association between the level of depression and different PA levels following the World Health Organization (WHO) PA guidelines and according to specific symptoms that indicate depression. Multivariable-adjusted Poisson regression models were used to calculate the prevalence rate (PR) in a sample of 2123 participants (45.3% men, median 48 years). Compared to subjects with insufficient PA, moderate and high PA levels were inversely associated with continuous depression scores (PR = 0.85; 95% CI: 0.75-0.97; and PR = 0.80; 95% CI: 0.70-0.92). Depressed mood and worthlessness were the symptoms associated with moderate and high PA. Tiredness, change in appetite, and concentration problems were related to high PA. The results suggest that reaching the minimum PA target according to the guidelines seems to be effective, and this could stimulate adherence. However, more specific improvements in symptomatology will require a subsequent gradual increase in PA levels.

Going digital - a commentary on the terminology used at the intersection of physical activity and digital health

In recent years digital technologies have become a major means for providing health-related services and this trend was strongly reinforced by the current Coronavirus disease 2019 (COVID-19) pandemic. As it is well-known that regular physical activity has positive effects on individual physical and mental health and thus is an important prerequisite for healthy aging, digital technologies are also increasingly used to promote unstructured and structured forms of physical activity. However, in the course of this development, several terms (e.g., Digital Health, Electronic Health, Mobile Health, Telehealth, Telemedicine, and Telerehabilitation) have been introduced to refer to the application of digital technologies to provide health-related services such as physical interventions. Unfortunately, the above-mentioned terms are often used in several different ways, but also relatively interchangeably. Given that ambiguous terminology is a major source of difficulty in scientific communication which can impede the progress of theoretical and empirical research, this article aims to make the reader aware of the subtle differences between the relevant terms which are applied at the intersection of physical activity and Digital Health and to provide state-of-art definitions for them.

Device-worn measures of sedentary time and physical activity in South Asian adults at high risk for type 2 diabetes in Metro-Vancouver, Canada

Background

South Asians have high incidence of chronic disease. Physical activity (PA) and sedentary time are modifiable risk factors for chronic disease but their assessment in South Asians has been primarily based on self-report. This study presents directly-measured PA and sedentary time in South Asian adults in Canada.

Methods

A subset of 100 South Asian participants from a larger study who were identified at being at a higher risk for type 2 diabetes wore Actical accelerometers for 7 days. Anthropometric measures were taken and socio-demographic factors including age, income, education level, years since immigration, presence of children under the age of 12 years in the household and employment status were self-reported.

Results

Ninety-one participants (mean age 65.6 years) provided valid accelerometer data. Participants accumulated mean 673.5 (95% CI: 656.6, 691.0) min/day sedentary time, 130.5 (95% CI: 117.3, 145.3) min/day light PA (LPA) and 2.3 (95% CI: 1.3, 4.2) min/day moderate-to-vigorous PA (MVPA). For sedentary time and LPA, sex and BMI explained 51% of variability. For MVPA, BMI, season of assessment and employment status explained 23% variability with those who were employed accumulating significantly higher mean min/day of MVPA compared to those who were unemployed; (5.8, 95% CI: 1.5, 21.7) vs (1.5, 95% CI: 5.3, 20.0) respectively.

Conclusion

High sedentary time, and low MVPA indicates the need to focus health promotion efforts on shifting sedentary time into LPA while trying to increase MVPA. Future studies need to be based on larger, representative samples of South Asians.

The Combined Effects of Television Viewing and Physical Activity on Cardiometabolic Risk Factors: The Kardiovize Study

The aim of the present study was to evaluate the association between television viewing/physical activity (TVV/PA) interactions and cardiometabolic risk in an adult European population. A total of 2155 subjects (25–64 years) (45.2% males), a random population-based sample were evaluated in Brno, Czechia. TVV was classified as low (<2 h/day), moderate (2–4), and high (≥4). PA was classified as insufficient, moderate, and high. To assess the independent association of TVV/PA categories with cardiometabolic variables, multiple linear regression was used. After adjustments, significant associations were: High TVV/insufficient PA with body mass index (BMI) (β = 2.61, SE = 0.63), waist circumference (WC) (β = 7.52, SE = 1.58), body fat percent (%BF) (β = 6.24, SE = 1.02), glucose (β = 0.25, SE = 0.12), triglycerides (β = 0.18, SE = 0.05), and high density lipoprotein (HDL-c) (β = −0.10, SE = 0.04); high TVV/moderate PA with BMI (β = 1.98, SE = 0.45), WC (β = 5.43, SE = 1.12), %BF (β = 5.15, SE = 0.72), triglycerides (β = 0.08, SE = 0.04), total cholesterol (β = 0.21, SE = 0.10), low density protein (LDL-c) (β = 0.19, SE = 0.08), and HDL-c (β = −0.07, SE = 0.03); and moderate TVV/insufficient PA with WC (β = 2.68, SE = 1.25), %BF (β = 3.80, SE = 0.81), LDL-c (β = 0.18, SE = 0.09), and HDL-c (β = −0.07, SE = 0.03). Independent of PA levels, a higher TVV was associated with higher amounts of adipose tissue. Higher blood glucose and triglycerides were present in subjects with high TVV and insufficient PA, but not in those with high PA alone. These results affirm the independent cardiometabolic risk of sedentary routines even in subjects with high-levels of PA.

Causes of Sickness Absenteeism in Europe-Analysis from an Intercountry and Gender Perspective

This study aims to extract and explain the territorially varied relation between socioeconomic factors and absence rate from work due to own illness or disability in European countries in the years 2006-2020. For this purpose, several causes were identified, depending on men and women. To explain the absenteeism and emphasize gender as well as intercountry differences, geographically weighted regression was applied. For men, there were five main variables that influenced sickness absence: body mass index, the average rating of satisfaction by job situation, employment in the manufacturing sector, social benefits by sickness/health care, and performing health-enhancing physical activity. For women, there were five main variables that increased the absence rate: the risk of poverty or social exclusion, long-standing illness or health problems, employment in the manufacturing sector, social protection benefits, and deaths due to pneumonia. Based on the conducted research, it was proven that the sickness absence observed in the analyzed countries was highly gender and spatially diverged. Understanding the multifactorial factors playing an important role in the occurrence of regional and gender-divergent sickness absence may be a good predictor of subsequent morbidity and mortality as well as be very useful to better prevent this outcome.

Feasibility of Real-time Behavior Monitoring Via Mobile Technology in Czech Adults Aged 50 Years and Above: 12-Week Study With Ecological Momentary Assessment

Background

Czech older adults have lower rates of physical activity than the average population and lag behind in the use of digital technologies, compared with their peers from other European countries.

Objective

This study aims to assess the feasibility of intensive behavior monitoring through technology in Czech adults aged ≥50 years.

Methods

Participants (N=30; mean age 61.2 years, SD 6.8 years, range 50-74 years; 16/30, 53% male; 7/30, 23% retired) were monitored for 12 weeks while wearing a Fitbit Charge 2 monitor and completed three 8-day bursts of intensive data collection through surveys presented on a custom-made mobile app. Web-based surveys were also completed before and at the end of the 12-week period (along with poststudy focus groups) to evaluate participants’ perceptions of their experience in the study.

Results

All 30 participants completed the study. Across the three 8-day bursts, participants completed 1454 out of 1744 (83% compliance rate) surveys administered 3 times per day on a pseudorandom schedule, 451 out of 559 (81% compliance rate) end-of-day surveys, and 736 episodes of self-reported planned physical activity (with 29/736, 3.9% of the reports initiated but returned without data). The overall rating of using the mobile app and Fitbit was above average (74.5 out of 100 on the System Usability Scale). The majority reported that the Fitbit (27/30, 90%) and mobile app (25/30, 83%) were easy to use and rated their experience positively (25/30, 83%). Focus groups revealed that some surveys were missed owing to notifications not being noticed or that participants needed a longer time window for survey completion. Some found wearing the monitor in hot weather or at night uncomfortable, but overall, participants were highly motivated to complete the surveys and be compliant with the study procedures.

Conclusions

The use of a mobile survey app coupled with a wearable device appears feasible for use among Czech older adults. Participants in this study tolerated the intensive assessment schedule well, but lower compliance may be expected in studies of more diverse groups of older adults. Some difficulties were noted with the pairing and synchronization of devices on some types of smartphones, posing challenges for large-scale studies.

Analysis of sedentariness in women from a gender and equity perspective

ABSTRACTThis cross-sectional study aimed to analyse the social and gender-related factors influencing sedentariness in women, including occupation and family size (FS). We included women aged 45-70 years participating in the Breast Cancer Screening Programme of the Valencia Region (BCSP-VR) between November 2018 and October 2019 (n = 121,988). The response variable was sedentariness measured by sitting time in hours/day (h/day) (<3 h/day and ≥3 h/day). The explanatory variables were age, educational level, country of origin, living alone, childcare responsibilities, FS, disability, body mass index (BMI) and smoking status. Logistic regression models were adjusted for the whole sample and were stratified by occupation and FS. The variables that increased the odds of sedentariness were age ≥65 years (OR = 1.28; CI = 1.20-1.36), high educational level (OR = 1.39; CI = 1.31-1.47), non-manual occupation (OR = 2.38; CI = 2.27-2.48), living alone (OR = 1.11; CI = 1.05-1.17), disability (OR = 1.37; CI = 1.20-1.56) and BMI ≥ 30 (OR = 1.33; CI = 1.28-1.38). The variables decreasing the odds were large (OR = 0.90; CI = 0.87-0.96) and medium FS (OR = 0.93; CI = 0.90-0.97). Older age, high educational level and high BMI conferred a higher odd of sedentary lifestyle, independently of occupation and FS with statistical differences. Protective factors were childcare responsibilities in non-working women (OR = 0.86; CI = 0.74-0.99), large FS in women with manual occupations (OR = 0.88; CI = 0.80-0.97) and medium FS in housewives (OR = 0.91; CI = 0.86-0.97). This study identified social and gender-related inequalities in the factors influencing sedentariness, which were related to the type of occupation and FS.

Physical activity in patients with axial spondyloarthritis in a multi-ethnic south-east Asian country

Background

Patients with axial spondyloarthritis (axSpA) may experience spinal stiffness and pain, leading to reduced physical function and quality of life. Despite the benefits of physical activity (PA) and exercise, previous studies have demonstrated lower levels of PA among patients with axSpA. This study aims to examine the patterns of PA among patients with axSpA compared to the general population in a multi-ethnic Asian country.

Methods

This was a cross-sectional study conducted between May 2016 and Jan 2017. Consecutive patients with axSpA were recruited at an outpatient rheumatology clinic at Singapore General Hospital, the largest tertiary hospital in Singapore. Controls were based on a previous cross-sectional study. PA was assessed using the Global Physical Activity Questionnaire (GPAQ).

Results

Seventy-four patients with axSpA were recruited and compared with 2679 controls. Lower proportion of patients with axSpA met the WHO recommendations for PA (axSpA = 77.0%, controls = 89.7%, p <  0.001). More patients with axSpA had high level of sedentary activity compared to controls (axSpA = 56.8%, controls = 36.1%, p <  0.001). Levels of PA did not differ between patients with inactive versus active axSpA disease (p = 0.91).

Conclusions

Proportion of patients with axSpA meeting the WHO recommendations for PA differed significantly from the general population, and level of PA did not differ between patients with active and inactive axSpA disease. Higher levels of sedentary activity were seen in patient with axSpA compared to the general population, highlighting the need for interventions to promote PA among patients with axSpA.

Supplementary Information

The online version contains supplementary material available at 10.1186/s41927-021-00211-5.

Dysglycemia and Abnormal Adiposity Drivers of Cardiometabolic-Based Chronic Disease in the Czech Population: Biological, Behavioral, and Cultural/Social Determinants of Health

In contrast to the decreasing burden related to cardiovascular disease (CVD), the burden related to dysglycemia and adiposity complications is increasing in Czechia, and local drivers must be identified. A comprehensive literature review was performed to evaluate biological, behavioral, and environmental drivers of dysglycemia and abnormal adiposity in Czechia. Additionally, the structure of the Czech healthcare system was described. The prevalence of obesity in men and diabetes in both sexes has been increasing over the past 30 years. Possible reasons include the Eastern European eating pattern, high prevalence of physical inactivity and health illiteracy, education, and income-related health inequalities. Despite the advanced healthcare system based on the compulsory insurance model with free-for-service healthcare and a wide range of health-promoting initiatives, more effective strategies to tackle the adiposity/dysglycemia are needed. In conclusion, the disease burden related to dysglycemia and adiposity in Czechia remains high but is not translated into greater CVD. This discordant relationship likely depends more on other factors, such as improvements in dyslipidemia and hypertension control. A reconceptualization of abnormal adiposity and dysglycemia into a more actionable cardiometabolic-based chronic disease model is needed to improve the approach to these conditions. This review can serve as a platform to investigate causal mechanisms and secure effective management of cardiometabolic-based chronic disease.

Physical Activity and Self-Reported Metabolic Syndrome Risk Factors in the Aboriginal Population in Perth, Australia, Measured Using an Adaptation of the Global Physical Activity Questionnaire (GPAQ)

Background: Complex, ongoing social factors have led to a context where metabolic syndrome (MetS) is disproportionately high in Aboriginal Australians. MetS is characterised by insulin resistance, abdominal obesity, hypertension, hypertriglyceridemia, high blood-sugar and low HDL-C. This descriptive study aimed to document physical activity levels, including domains and intensity and sedentary behaviour, and MetS risk factors in the Perth Aboriginal (predominately Noongar) community. Methods: The Global Physical Activity Questionnaire (GPAQ), together with a questionnaire on self-reported MetS risk factors, was circulated to community members for completion during 2014 (n = 129). Results: Data were analysed using chi-squared tests. The average (SD) age was 37.8 years (14) and BMI of 31.4 (8.2) kg/m2. Occupational, transport-related and leisure-time physical activity (PA) and sedentary intensities were reported across age categories. The median (interquartile range) daily sedentary time was 200 (78, 435), 240 (120, 420) and 180 (60, 300) minutes for the 18-25, 26-44 and 45+ year-olds, respectively (p = 0.973). Conclusions: An in-depth understanding of the types, frequencies and intensities of PA reported for the Perth Aboriginal community is important to implementing targeted strategies to reduce the prevalence of chronic disease in this context. Future efforts collaborating with community should aim to reduce the risk factors associated with MetS and improve quality of life.

Physical Activity and Outdoor Leisure Time Physical Exercise: A Population Study of Correlates and Hindrances in a Resource-Constrained African Setting

Purpose

The study evaluated the burden of physical inactivity, its correlates, and the self-reported hindrances to outdoor leisure-time physical exercises in Enugu Nigeria. It also evaluated the prevalence of leisure-time outdoor physical exercise and its correlates in Enugu Nigeria.

Patient and Methods

This is a cross-sectional household survey involving 6628 individuals aged 20 to 60 years from 2848 households in Enugu Nigeria. Binary logistic regression and multinomial regression analyses were carried out as appropriate. Estimates were weighted to account for the actual population distribution of important sociodemographic variables and reported with the 95% confidence interval.

Results

The burden of physical inactivity was 32.68% (95% CI: 31.24–34.12%). Urban dwellers were less likely to be physically active than rural dwellers (AOR = 0.477; 95% CI = 0.410–0.555). For each year increase in age, the odds of being physically active decreases by a factor of 0.993 (AOR = 0.993; 95% CI= 0.988–0.998). Gender, income level and education did not predict physical inactivity. Physical inactivity significantly increases the odds of being obese by a factor of 1.428 (AOR: 1.428; 95% CI: 1.190–1.714). Only 6.45% (95% CI: 5.82%-7.09%) participants reported at least once a week outdoor leisure-time physical exercise. The major barriers include lack of time and lack of interest in outdoor leisure-time physical exercise.

Conclusion

The burden of physical inactivity is high, while the level of outdoor physical exercise is low in Enugu, Nigeria. Urban dwelling and increasing age are risk factors for physical inactivity. Living in urban areas, being less than 40 years of age, having a university education, and a high personal income are factors that positively drive outdoor leisure-time physical exercises. Policies that will promote awareness of the health benefits of physical activity and outdoor physical exercise are needed if Nigeria is to achieve the global mandate of reducing physical inactivity by 10% in the year 2025.

Morning resolutions, evening disillusions: Theories of willpower affect how health behaviours change across the day

People may be more or less vulnerable to changes in self-control across the day, depending on whether they believe willpower is more or less limited. Limited willpower beliefs might be associated with steeper decreases in self-control across the day, which may result in less goal-consistent behaviour by the evening. Community members with health goals (Sample 1; N = 160; 1814 observations) and students (Sample 2; N = 162; 10,581 observations) completed five surveys per day for one to three weeks, reporting on their recent physical activity, snacking, subjective state, and health intentions. In both samples, more limited willpower beliefs were associated with less low- and moderate-intensity physical activity, particularly later in the day. Limited willpower beliefs were also associated with more snacking in the evenings (Sample 1) or overall (Sample 2). These behavioural patterns were mediated by differential changes in self-efficacy and intentions across the course of the day (in Sample 1), and the above patterns of low- and moderate-physical intensity held after controlling for related individual differences, including trait self-control and chronotype (in Sample 2). Overall, more limited willpower theories were associated with decreasing goal-consistent behaviour as the day progressed, alongside decreasing self-efficacy and weakening health-goal intentions.

Cross-cultural adaptation and validation of the Global Physical Activity Questionnaire among healthy Hungarian adults

BACKGROUND

Physical activity (PA) is an important factor among the determinants of health due to it's protective factor and preventive role. Self-reported measures such as questionnaires are most commonly used in public health studies, but may over- or underestimate actual patterns of PA. Therefore, accelerometers are widely used to assess concurrent validity. The aim of the present study was to adapt and validate the self-administered GPAQ - Hungarian version (GPAQ-H) against accelerometer data and IPAQ-Hungarian long version (IPAQ-HL) in Hungarian healthy young adults.

METHODS

A cross-sectional comparative study was conducted to examine the last 7 days PA by GPAQ-H, comparing with IPAQ-HL and Actigraph GT3X accelerometer to measure concurrent validity and reliability. A convenient sample of 300 young adults was recruited in January - July 2018 at the University of Pécs, in South-Hungary, 120 participants (age 21.53 ± 1.75 years, 46.66% male) were included in the validity and reliability study.

RESULTS

Significant differences between the three instruments were found (p < 0.001) in all scores, except PAQs vigorous activities (p = 0.332) and GPAQ-H and accelerometer MVPA score (p = 0.424). A moderate KMO measure was found (0.538) with a significant Barlett's test of Sphericity (279.51; p < 0.001). The total variance was explained as 81.10%. The reliability of the GPAQ-H instrument with all domain's scores was 0.521 (CI 0.371-0.644). We found in all intensity scores and sitting time good reliability scores (R = 0.899-987, p < 0.001) between the baseline and follow-up (N = 33 random subsample). The Bland-Altman plots were showed that GPAQ-H overestimates vigorous activities by 212.75 min/week (331.82-757.42) and MVPA by 104.93 min/week (- 1016.98-807.11). A high difference, 6336.79 min/week (CI 3638.18-9035.40) was revealed regarding sitting, as GPAQ-H largely underestimated the time spent sedentary.

CONCLUSIONS

The Hungarian GPAQ self-administered form showed fair to moderate validity with correlation coefficients similar to other European studies. Based on our study's results it could be claimed that the GPAQ-H measurement tool is a valid and reliable questionnaire to measure the healthy Hungarian population's physical activity patterns. However, our results also proved that GPAQ-H alone is not a valid and reliable questionnaire to measure sitting time.

Association with subjective measured physical activity (GPAQ) and quality of life (WHOQoL-BREF) of ageing adults in Hungary, a cross-sectional study

BACKGROUND

It is well known that physical activity (PA) has health benefits. This study aimed to examine physical activity carried out by the senior (over 50) participants and its relation to their quality of life (QoL).

METHODS

Surveillance of PA and QoL was measured by using questionnaires (GPAQ, WHOQoL-BREF) in this study. Descriptive data were presented as means and standard deviations (SD) for continuous variables and as percentages for categorical variables. Multivariate linear regression analysis was conducted. The significance level was set at p ≤ 0.05.

RESULTS

Overall, 250 participants were recruited, the mean age of the study population (n = 243) was 70.2 (SD 7.1) years. The results clearly showed that the Hungarian participants aged over 50 years were more likely to do PA if they had university degree and lower age (p ≤ 0.001) and used more active transportation (p = 0.035) if they had low education. The results of WHOQoL-BREF showed that the Hungarian individuals have better QoL if they have university degree (p ≤ 0.001) and lower age (p ≤ 0.001). Using multivariate linear regression analysis to examine the effect of PA patterns on QoL adjusted for demographic variables (age, education, BMI, place of living), the result showed significant correlation between WHOQoL-BREF dimensions and GPAQ (p ≤ 0.001).

CONCLUSION

Higher amount of PA among aging population can result in better QoL in all dimensions.

Age-Friendly Environments, Active Lives? Associations Between the Local Physical and Social Environment and Physical Activity Among Adults Aged 55 and Older in Ireland

Despite the benefits, one in three older adults in Ireland has low activity levels. This study examined associations between the local social and built environment and physical activity of older adults to identify age-friendly factors that support physical activity among the aging population. Data were from the population-representative Healthy and Positive Ageing Initiative Age-Friendly City and Counties Survey (N = 10,540). Physical activity was measured using a short-form of the International Physical Activity Questionnaire. Mixed-effects negative binomial regression models were adjusted for known health and sociodemographic correlates of physical activity. Results are reported as unstandardized beta coefficients (β) with standard errors. Loneliness, community participation, and difficulty in accessing green spaces partially explained the differences in the number of minutes that respondents were physically active. Combined with individual-level behavior change interventions, improvements to the local environment and promoting social connectedness may also be useful in promoting physical activity among older adults.

Physical Activity among Spanish Undergraduate Students: A Descriptive Correlational Study

Achieving the recommended levels of physical activity (PA) is associated with better health. Despite this, most undergraduate students report low levels of PA. This study aimed to assess the achievement of recommended PA levels in a wide sample of undergraduate students from Madrid (N = 2960). Overall PA and leisure-time PA (LTPA) were measured with the Global Physical Activity Questionnaire (GPAQ). Descriptive analyses and logistic regression were performed. It was revealed that 22.4% and 55.6% of overall PA and LTPA, respectively, did not achieve World Health Organization (WHO) recommendations. When PA was measured as overall PA, the achievement of the recommended level was positively predicted by male sex; a Body Mass Index (BMI) indicative of normal weight or being overweight; spending less time sitting or reclining; work; and studying health science, social sciences, engineering, or architecture (all p < 0.001; r2 = 0.075). Using LTPA, the positive predictors of achieving recommended PA levels were male sex, having a BMI indicative of normal weight or being overweight, work, studying at a public university, and studying health science (r2 = 0.048). These findings suggest that universities should implement strategies to promote PA.

The descriptive epidemiology of sitting in Chilean adults: Results from the National Health Survey 2009-2010

BACKGROUND

Although evidence on the health effects of sedentary behavior (SB) has grown systematically in recent years, few developing countries have reported population levels of SB, especially in South America. Our objective was to describe time spent sitting in a representative sample from Chile categorized by age, gender, educational level, and body mass index (BMI).

METHODS

A national health survey was conducted in Chile in a nationally representative sample (n = 5411) in 2009-2010. Sitting time (ST) was measured with the Global Physical Activity Questionnaire Version 2.

RESULTS

Data were from 5031 participants (43.26 ± 0.41 years, mean ± SE; 40.3% male). Overall, there were no gender differences in mean ST (men: 158.10 ± 5.80 min/day, women 143.45 ± 4.77 min/day; p = 0.05). ST was lower in those who lived in rural areas compared with urban areas (99.4 min/day vs. 160.0 min/day; p = 0.001). ST increased significantly with increasing BMI, but only in men (p = 0.009), and was positively related to years of education in both men and women (p < 0.0001).

CONCLUSION

The findings were different from those reported in other countries and contexts, reinforcing the need for international surveillance and monitoring over time to inform policy makers. Differences in ST across different groups emphasize the need to develop tailored messages and interventions for reducing ST in different population subgroups.

Towards a demographic risk profile for sedentary behaviours in middle-aged British adults: a cross-sectional population study

OBJECTIVES

In response to a call from the American Heart Association to more clearly identify the demographic factors associated with sedentary behaviours, this study aimed to identify the hierarchy of demographic characteristics associated with the sedentary behaviours of television viewing, recreational computer use and driving.

DESIGN

Cross-sectional analysis of baseline data collected as part of the UK Biobank. The UK Biobank is a population cohort recruited from 22 centres across the UK. Participants aged between 37 and 73 years were recruited between 2006 and 2010.

METHODS

Decision tree models were generated for the sedentary behaviour outcomes of hours/day spent television viewing, recreational computer use and all driving; a sum of time spent in these sedentary behaviours ('overall') was computed. Age, sex, race, college attendance, employment, shift-work, urban versus rural residence as well as physical activity were considered as predictors.

RESULTS

The analytic sample comprised 415 666 adults who were mostly female (54.2%), white (95.2%), non-college attendee (64.5%), employed (61.7%), lived in an urban centre (85.5%), with a mean age of 56.6 (SD=8.1) years. Television viewing was most common sedentary behaviour (2.7 hour/day vs 1.1 for recreational computer use and 1.0 for all driving). Males (tier 1), who did not attend college (tier 2) were the highest risk group for overall sedentary time. Adults with no college attendance (tier 1) and were retired (tier 2) were the most high-risk demographic group for television viewing. College attendees (tier 1) were highest risk for recreational computer use. Adults who were employed (tier 1), male (tier 2) and did not attend college (tier 3) were most at risk for driving CONCLUSIONS: Daily time spent in different sedentary behaviours varies by sex, employment status and college attendance status. The development of targeted interventions to reduce sedentary behaviour in different demographic subgroups is needed.

Gaming behaviour with Pokémon GO and physical activity: A preliminary study with medical students in Thailand

Pokémon GO becomes the most rapidly downloaded mobile application in history. This study aimed to determine the physical activity of medical students, who played Pokémon GO, and the change in their use of Pokémon GO and physical activity over time. An observational study was conducted. Physical activity was measured by using self-administered questionnaires at baseline (phase 0), 1 month (phase 1) and 3 months (phase 2) post-Pokémon GO download. The changes in physical activity (phase 0 to 1 and phase 1 to 2) were analysed using Wilcoxon Signed Ranked test. The trend (3-point analysis) of physical activity from phase 0, 1 to 2 were analysed using Friedman’s test. The relationship between physical activity and time spent gaming was analysed by using Spearman’s rank correlation. Twenty-six participants (mean age 22.04±1.70 years) participated in the study. There was no statistically significant change in physical activity during the three-month period (p = 0.45). Only 11 participants (42.3%) were still playing Pokémon GO 3 months after download. The key reasons for playing game were ‘have fun’ and ‘pass time/boredom’. The most common commuting mode to play the game was walking; some drove a car or motorcycle while playing the game. There was no correlation between physical activity and time spent gaming. This study highlights how the lack of sustainability of the game and the motivation behind using Pokémon GO as a game rather than a physical activity app may have undermined the potential of using the game to improve physical activity. Further studies need to explore the reasons for the lack of sustainability and how to combine fun with behavioural change.

Overall and Leisure-Time Physical Activity Among Brazilian Adults: National Survey Based on the Global Physical Activity Questionnaire

BACKGROUND

To describe overall physical activity prevalence measured by the Global Physical Activity Questionnaire as well as inequalities in leisure-time physical activity among Brazilian adults (15 y and older).

METHODS

Data from the Brazilian Survey on Medicine Access, Utilization, and Rational Use of Medicines were analyzed. The study was carried out between September 2013 and February 2014. Physical activity was measured through Global Physical Activity Questionnaire and classified according to the recommendations of the World Health Organization. Additional analysis determined the contribution of each physical activity domain to the total amount of physical activity. Inequalities in terms of sex, age, and socioeconomic position were explored.

RESULTS

About one-third of the participants (37.1%; 95% confidence interval, 35.5-38.8) were physically inactive. Work-based activities were responsible for 75.7% of the overall physical activity. The prevalence of participants achieving physical activity guidelines considering only leisure-time activities was 17.8% (95% confidence interval, 16.7-19.2). Females and older participants were less active than their counterparts for both overall and leisure-time physical activity; socioeconomic status was positively associated to leisure-time physical activity.

CONCLUSIONS

Major overall physical activity is attributed to work-related physical activity. Leisure-time physical activity, a key domain for public health, presents important gender and socioeconomic inequalities.

Validation of a method for estimating energy expenditure during walking in middle-aged adults

PURPOSE

The aim of this study was to test the validity of a method using an inertial measurement unit for estimating activity-related energy expenditure (AEE) during walking in middle-aged adults.

METHODS

Twenty healthy middle-aged participants completed different treadmill walking trials with an inertial measurement unit adhered to their lower back. Gas exchange was monitored with indirect calorimetry. Mechanical data were used to estimate AEE from an algorithm developed by Bouten et al. (Med Sci Sport Exer 26(12):1516-1523, 1994). Three methods for removing the gravitational component were proposed and tested: mean subtraction method (MSM), high-pass filter method (HPM) and free acceleration method (FAM).

RESULTS

The three methods did not differ significantly from the indirect calorimetry [bias = - 0.08 kcal min-1; p = 0.47 (MSM), bias = - 0.08 kcal min-1; p = 0.48 (HPM) and bias = - 0.15 kcal min-1; p = 0.23 (FAM)]. Mean root mean square errors were 0.43, 0.42 and 0.51 kcal min-1 for MSM, HPM and FAM, respectively.

CONCLUSION

This study proposed an accurate method for estimating AEE in middle-aged adults for a large range of walking intensities, from slow to brisk walking, based on Bouten's algorithm.

A population-based survey on physical inactivity and leisure time physical activity among adults in Chiang Mai, Thailand, 2014

Background

Reducing physical inactivity among the population is a challenge for many nations. Targeting leisure time physical activity (LTPA) may be useful in increasing overall physical activity as it is assumed it is associated with a higher degree of free choice and personal preference than physical activity at work and during travel. The study explored the prevalence of physical inactivity and focused on the overall level of energy expenditure and energy level spent during leisure time among those who were physically inactive and assessed the stages of change for LTPA among those who were physically inactive.

Methods

A population-based survey was conducted in 2014 in Chiang Mai, Thailand using a stratified two-stage cluster sampling technique. The Global Physical Activity Questionnaire (GPAQ) was used to collect the data on physical activity. Sufficient levels of physical activity (PA) were defined as ≥150 min/week of moderate-intensity PA or ≥75 min/week of vigorous-intensity PA or ≥600 metabolic equivalent of task (MET)-minutes/week. Weighted analyses were used to estimate the prevalence of physical inactivity, the total energy expenditure and expenditure during LTPA as well as stages of change among the physically inactive population.

Results

A total of 1744 people (808 men and 936 women), aged 15 to 64 years, participated in the study. We estimated that a quarter (26%) of the population were physically inactive. Physical inactivity was more commonly found among women than men in most age groups. LTPA contributed a small proportion of overall PA. On average, physically inactive men spent 132.8 MET-minutes/week and inactive women spent 208.2 MET-minutes/week in overall PA which is well below the 600 MET-minutes/week recommend by the World Health Organization. Around 75% of physically inactive people had no intention of engaging in regular LTPA.

Conclusion

About a quarter of the investigative population were physically inactive. Most physically inactive members of the population participate in low levels of LTPA, but the majority has no intention of increasing PA during leisure time. A large-scale health promotion program is needed, and it should focus on an approach for the pre-contemplated population.

The effect of motivational interviewing-based intervention using self-determination theory on promotion of physical activity among women in reproductive age: A randomized clinical trial

Background

Physical activity (PA) prevents chronic diseases. Self-determination theory (SDT) provides a useful framework to understand the nature of motivational interviewing (MI).

Objective

This study aimed to determine the effect of MI-based intervention using SDT on the promotion of PA among women in reproductive age.

Methods

Seventy women in reproductive age were selected by clustering sampling method for this randomized controlled trial. The questionnaire included the variables of physical fitness test, SDT, and global physical activity questionnaire (GPAQ). The validity of the questionnaires was approved using content validity ratio (CVR) and index (CVI). The reliability and internal consistency of the questionnaires and measures was approved using test-retest method and Cronbach’s alpha test, respectively. The intervention group (n=35) received four MI sessions through theory and one standard education session about PA. The control group (n=35) received a standard education session about PA.

Results

Four months after the intervention, an increase in the mean scores of total PA (p<0.001, ES=4.77), physical fitness tests including flexibility (p<0.001, ES=1.59), muscular endurance (p<0.001, ES=2.0), cardiorespiratory endurance (p<0.001, ES=0.51), and a decrease in mean scores of agility test (p<0.001, ES= − 0.51) and sedentary behavior (p<0.01, ES=− 0.74) was observed in the intervention group compared to the control group. The intervention group reported an increase in the scores of intrinsic motivation (p<0.001, ES=3.34), identified regulation (p<0.001, ES= 1.28), perceptions of competence (p<0.001, ES=0.81) and autonomy (p<0.001, ES=2.01), enjoyment (p<0.001, ES=0.98) and health motives (p<0.01, ES=0.19), health care climate (p<0.001, ES=4.6), and a decreased score of external regulation (p<0.01, ES=−0.55) and amotivation (p<0.01, ES= −0.56) over time, compared to the control group.

Conclusion

MI-based intervention using SDT was effective on the promotion of PA.

Trial registration

The Trial was registered at the Iranian Registry of Clinical Trial (http://www.irct.ir) with the Irct ID: IRCT2015101924592N1.

Validation of the Global Physical Activity Questionnaire for self-administration in a European context

Background/aim

Little is known about the measurement properties of the self-administered Global Physical Activity Questionnaire (GPAQ) in Europe. The aim was to validate the self-administered GPAQ against accelerometry in Switzerland in German, French and Italian.

Methods

Participants of this cross-sectional study were recruited among members of the Swiss Food Panel (German-speaking and French-speaking samples) and as a convenience sample (Italian-speaking sample). They completed the GPAQ and wore an Actigraph GT3X+ accelerometer during 7 days in 2014/2015. GPAQ and accelerometer data on total physical activity and different intensities, as well as sitting time, were compared using Spearman correlations and Bland-Altman plots.

Results

Complete data were available for 354 participants (50.6% women, mean age: 47.0 years) on physical activity, and for 366 on sitting time. Correlations were highest for vigorous physical activity (r=0.46) and sitting time (r=0.47). A significant sex difference was apparent for vigorous physical activity (men: r=0.35 vs women: r=0.55; p=0.02). Some age differences were present especially for total physical activity, with the lowest correlations found for those aged 60+ years. The correlation for sitting time was significantly higher in the youngest age group (r=0.61) compared with the middle (r=0.38, p=0.01) and the oldest age groups (r=0.37, p=0.03). Total physical activity was 2.8 times higher according to the GPAQ than to accelerometer data.

Conclusions

The self-administered version of the GPAQ showed fair-to-moderate validity in the three languages tested, both for men and women and individuals aged ≤60 years. For older individuals, a careful interpretation of total physical activity is required.

Energy Expenditure in People with Diabetes Mellitus: A Review

Physical activity (PA) is an important non-therapeutic tool in primary prevention and treatment of diabetes mellitus (DM). To improve activity-based health management, patients need to quantify activity-related energy expenditure and the other components of total daily energy expenditure. This review explores differences between the components of total energy expenditure in patients with DM and healthy people and presents various tools for assessing the energy expenditure in subjects with DM. From this review, it appears that patients with uncontrolled DM have a higher basal energy expenditure (BEE) than healthy people which must be considered in the establishment of new BEE estimate equations. Moreover, studies showed a lower activity energy expenditure in patients with DM than in healthy ones. This difference may be partially explained by patient with DMs poor compliance with exercise recommendations and their greater participation in lower intensity activities. These specificities of PA need to be taken into account in the development of adapted tools to assess activity energy expenditure and daily energy expenditure in people with DM. Few estimation tools are tested in subjects with DM and this results in a lack of accuracy especially for their particular patterns of activity. Thus, future studies should examine sensors coupling different technologies or method that is specifically designed to accurately assess energy expenditure in patients with diabetes in daily life.

Convergent validity: agreement between accelerometry and the Global Physical Activity Questionnaire in college-age Saudi men

Background

The Global Physical Activity Questionnaire (GPAQ) has been recommended for the international tracking of physical activity (PA). This study aimed to investigate the agreement between the GPAQ and accelerometry, as well as the test–retest reliability of the GPAQ in Saudi college-age men.

Methods

The participants included 62 male students, aged 20.0 ± 1.1 year, with a mean body mass index (BMI) of 24.1 ± 6.3 kg/m². This study used a cross-sectional comparison of measures design. Participants completed the GPAQ twice (2 weeks apart) and wore accelerometers for seven consecutive days.

Results

The agreement between the GPAQ and accelerometry for moderate to vigorous PA (MVPA) was weak (r ≤ 0.32). Participants underreported sedentary time relative to accelerometer measurements (∆ = 3.4 h/day). BMI was statistically associated with increased bias between the two methods. However, correlations between the GPAQ test and retest for MVPA and sedentary time were moderate to strong (r = 0.44–0.78).

Conclusion

The GPAQ is reliable, but had low agreement with accelerometry for estimating MVPA, and very low agreement with accelerometry for estimating sedentary time in college-age Saudi men. Individual participant characteristics should be considered when using the GPAQ to estimate sedentary time. Adapting the current GPAQ to build a regional PA questionnaire is recommended.

Electronic supplementary material

The online version of this article (doi:10.1186/s13104-016-2242-9) contains supplementary material, which is available to authorized users.

Ten-Year Changes in the Prevalence and Socio-Demographic Determinants of Physical Activity among Polish Adults Aged 20 to 74 Years. Results of the National Multicenter Health Surveys WOBASZ (2003-2005) and WOBASZ II (2013-2014)

Introduction

The aim of the study was to estimate ten-year changes in physical activity (PA) patterns and sociodemographic determinants among adult residents of Poland.

Methods

The study comprised two independent samples of randomly selected adults aged 20–74 years participating in the National Multicentre Health Survey WOBASZ (2003–2005; n = 14572) and WOBASZ II (2013–2014; n = 5694). In both surveys the measurements were performed by six academic centers in all 16 voivodships of Poland (108 measurement points in each survey). Sociodemographic data were collected by an interviewer-administered questionnaire in both surveys. Physical activity was assessed in three domains: leisure-time, occupational and commuting physical activity.

Results

Leisure-time PA changed substantially between the surveys (p<0.001). The prevalence of subjects being active on most days of week fell in both genders in the years 2003–2014 (37.4% vs 27.3% in men); 32.7% vs 28.3% in women. None or occasional activity increased from 49.6% to 56.8% in men, while remained stable in women (55.2% vs 54.9%). In both WOBASZ surveys the likelihood of physical inactivity was higher in less educated individuals, smokers and those living in large agglomerations (p<0.01). No significant changes were observed in occupational activity in men between the surveys, while in women percentage of sedentary work increased from 43.4% to % 49.4% (p<0.01). Commuting PA decreased significantly in both genders (p<0.001). About 79.3% of men and 71.3% of women reported no active commuting in the WOBASZ II survey.

Conclusions

The observed unfavourable changes in PA emphasize the need for novel intervention concepts in order to reverse this direction. Further detailed monitoring of PA patterns in Poland is of particular importance.

A systematic review of correlates of sedentary behaviour in adults aged 18-65 years: a socio-ecological approach

Background

Recent research shows that sedentary behaviour is associated with adverse cardio-metabolic consequences even among those considered sufficiently physically active. In order to successfully develop interventions to address this unhealthy behaviour, factors that influence sedentariness need to be identified and fully understood. The aim of this review is to identify individual, social, environmental, and policy-related determinants or correlates of sedentary behaviours among adults aged 18–65 years.

Methods

PubMed, Embase, CINAHL, PsycINFO and Web of Science were searched for articles published between January 2000 and September 2015. The search strategy was based on four key elements and their synonyms: (a) sedentary behaviour (b) correlates (c) types of sedentary behaviours (d) types of correlates. Articles were included if information relating to sedentary behaviour in adults (18–65 years) was reported. Studies on samples selected by disease were excluded. The full protocol is available from PROSPERO (PROSPERO 2014:CRD42014009823).

Results

74 original studies were identified out of 4041: 71 observational, two qualitative and one experimental study. Sedentary behaviour was primarily measured as self-reported screen leisure time and total sitting time. In 15 studies, objectively measured total sedentary time was reported: accelerometry (n = 14) and heart rate (n = 1). Individual level factors such as age, physical activity levels, body mass index, socio-economic status and mood were all significantly correlated with sedentariness. A trend towards increased amounts of leisure screen time was identified in those married or cohabiting while having children resulted in less total sitting time. Several environmental correlates were identified including proximity of green space, neighbourhood walkability and safety and weather.

Conclusions

Results provide further evidence relating to several already recognised individual level factors and preliminary evidence relating to social and environmental factors that should be further investigated. Most studies relied upon cross-sectional design limiting causal inference and the heterogeneity of the sedentary measures prevented direct comparison of findings. Future research necessitates longitudinal study designs, exploration of policy-related factors, further exploration of environmental factors, analysis of inter-relationships between identified factors and better classification of sedentary behaviour domains.

Electronic supplementary material

The online version of this article (doi:10.1186/s12889-016-2841-3) contains supplementary material, which is available to authorized users.

Systematic literature review of determinants of sedentary behaviour in older adults: a DEDIPAC study

Background

Older adults are the most sedentary segment of society and high sedentary time is associated with poor health and wellbeing outcomes in this population. Identifying determinants of sedentary behaviour is a necessary step to develop interventions to reduce sedentary time.

Methods

A systematic literature review was conducted to identify factors associated with sedentary behaviour in older adults. Pubmed, Embase, CINAHL, PsycINFO and Web of Science were searched for articles published between 2000 and May 2014. The search strategy was based on four key elements: (a) sedentary behaviour and its synonyms; (b) determinants and its synonyms (e.g. correlates, factors); (c) types of sedentary behaviour (e.g. TV viewing, sitting, gaming) and (d) types of determinants (e.g. environmental, behavioural). Articles were included in the review if specific information about sedentary behaviour in older adults was reported. Studies on samples identified by disease were excluded. Study quality was rated by means of QUALSYST. The full review protocol is available from PROSPERO (PROSPERO 2014: CRD42014009823). The analysis was guided by the socio-ecological model framework.

Results

Twenty-two original studies were identified out of 4472 returned by the systematic search. These included 19 cross-sectional, 2 longitudinal and 1 qualitative studies, all published after 2011. Half of the studies were European. The study quality was generally high with a median of 82 % (IQR 69–96 %) using Qualsyst tool. Personal factors were the most frequently investigated with consistent positive association for age, negative for retirement, obesity and health status. Only four studies considered environmental determinants suggesting possible association with mode of transport, type of housing, cultural opportunities and neighbourhood safety and availability of places to rest. Only two studies investigated mediating factors. Very limited information was available on contexts and sub-domains of sedentary behaviours.

Conclusion

Few studies have investigated determinants of sedentary behaviour in older adults and these have to date mostly focussed on personal factors, and qualitative studies were mostly lacking. More longitudinal studies are needed as well as inclusion of a broader range of personal and contextual potential determinants towards a systems-based approach, and future studies should be more informed by qualitative work.

Electronic supplementary material

The online version of this article (doi:10.1186/s12966-015-0292-3) contains supplementary material, which is available to authorized users.

Self-reported physical activity behavior of a multi-ethnic adult population within the urban and rural setting in Suriname

Background

Physical activity (PA) plays an important role in the combat against noncommunicable diseases including cardiovascular diseases. In order to develop appropriate PA intervention programs, there is a need to evaluate PA behavior. So far, there are no published data on PA available for Suriname. Therefore, we aim to describe PA behavior among the multi-ethnic population living in urban and rural areas of Suriname.

Methods

The World Health Organization (WHO) STEPwise approach to chronic disease risk factor surveillance (STEPS) was conducted in a national representative sample (N = 5751; 48.6% men) aged 15–64 years between March and September 2013. Physical activity data were assessed using the Global physical activity questionnaire (GPAQ) and analyzed according to the GPAQ guidelines. The prevalence of meeting the recommended PA level and prevalence ratios (PR) were computed.

Results

Only 55.5% of the overall population met the WHO recommended PA levels (urban coastal area: 55.7%, rural coastal area: 57.9%, rural interior area: 49.1%). Women were less likely to meet the recommended PA level (49% vs 62.4%; p < 0.0001) and with increasing age the PR for recommended level of PA decreased (p < 0.0001). Compared to the Hindustani’s, the largest ethnic group, the Javanese reported the lowest percentage of people meeting recommended PA level (PR = 0.92; p = 0.07).

Conclusion

Around half of the population meets the recommended PA level. Future lifestyle interventions aiming at increasing PA should especially focus on women and older individuals as they are less likely to meet the recommended levels of PA.