Deducing the Impact of Physical Activity, Sedentary Behavior, and Physical Performance on Cognitive Function in Healthy Older Adults

Objectives: Participating in physical activity and maintaining physical performance as well as reducing sedentary behavior are discussed to be beneficially associated with cognitive function in older adults. The purpose of this cross-sectional analysis was to differentiate the relevance of objectively measured physical activity, physical performance, and sedentary behavior on cognitive function in healthy older adults (n = 56, age = 76 ± 7 yrs, gender = 30 female).Methods: Accelerometer based physical activity and sedentary behavior were analyzed as minutes per week spent sedentary and physically active with light or moderate to vigorous intensity. Participants' physical performance was assessed via cardiopulmonary exercise testing and analyzed as maximal workload and heart rate, heart rate reserve and peak oxygen uptake. The assessment of cognitive function included working memory, attention, executive function, and verbal memory. Data was analyzed with Spearman and partial correlations. Trial registration: NCT02343029.Results: Light physical activity was moderately associated with executive function (r = −0.339, p = 0.015). Attention was significantly associated with maximal workload (r = −0.286, p = 0.042) and peak oxygen uptake (r = −0.337, p = 0.015). Working memory was associated with maximal workload (r = 0.329, p = 0.017).Conclusion: Whereas a broad range of cognitive function were beneficially linked to physical performance, light intensity activities in particular showed an impact on executive function. Our research underlines the need to separate the impact of physical performance and physical activity on cognitive function and highlights the relevance of light physical activity.

Correlates of Objectively Measured Physical Activity Among People With Multiple Sclerosis: A Cross-Sectional Study

Background: Identifying correlates of physical activity (PA) for people with multiple sclerosis (MS) is essential to design effective PA interventions.Methods: Participants completed a battery of questionnaires and wore an ActiGraph accelerometer. Light physical activity (LPA) and moderate-to-vigorous physical activity (MVPA) (min/day) were calculated. Associations were examined using multiple linear regression adjusted for demographic and clinical confounders.Results: Fifty-eight adults with MS participated (mean ± SD age: 56.8 ± 9.2 yr; 67% women). MS type was associated with time in LPA. Participants with secondary progressive MS (B = −54.0, 95% CI −84.7 to −23.3) and primary progressive MS (B = −42.9, 95% CI −77.5 to −8.3) spent less time in LPA than those with relapsing remitting MS. Walking capacity, assessed using the 12-item MS walking scale (MSWS-12), was associated with time in MVPA (B = −0.36, 95% CI −0.72 to −0.01).Conclusion: This work identifies walking capacity and type of MS as correlates of PA, which may indicate development of interventions to promote PA.

Hubungan Aktifitas Fisik Ibu Hamil Dengan Konstipasi Masa Kehamilan

Constipation occurs in about 11-13% of pregnancies by symptoms of difficulty on defecating, lower abdominal pain and frequency of passing stools of 3 times a week, causing discomfort and anxiety for pregnant women. The study was to determine the relationship between physical activity and constipation.The research method is correlation analytic cross sectional approach. Data retrieval is from June to December 2020 at Praktik Mandiri (midwifery services) at Jatikalang Kec. Prambon, Sidoarjo. Population: All 3rd trimester pregnant women totaled 37 people in 2020, or it is called total population sample. Collecting data is by direct questionnaire on statements of light physical activity, moderate physical activity and heavy physical activity. Data analysis uses simple correlation test statistics.Research results indicate that pregnant women who experience constipation do more light activities are 13 people (100%, moderate physical activity are of 13 people (92.9%) than those who are not constipated on heavy physical activity as many as 10 people (100%), moderate physical activity being 1 person (7.1%).The results of the statistical test of the correlation between physical activity and constipation in pregnant women have positive value of 0.821, indicating very strong correlation between physical activity and constipation, significant (2-tailed) 0.00 < 0.01, the higher the physical activity of pregnant women, the higher the occurrence of constipation.Conclusions from this study; There is a strong relationship between physical activity and constipation in pregnant women, namely light physical activity and moderate physical activity less than 30 minutes at risk of constipation. Suggestions for preventing constipation can be done by doing physical activity more than 30 minutes a day, consuming high-fiber nutritional diet and drinking enough mineral water to prevent constipation in pregnancy.

The Correlation between Work From Home (WFH) Frequency and Body Mass Index (BMI) profile

COVID-19 pandemic has become the major problem over the world since 2019. This spreading has affected every section in Indonesia. Therefore, social distancing and restriction have been the primary solution this far. However, this policy trigger high sedentary behavior and could affect Body Mass Index (BMI) profile. This study aimed to investigate the correlation between Work From Home (WFH) frequency and BMI profile during COVID-19 based on physical activity. A total of 205 participants aged 18 and over who were students, private and government employees were participated in a cross-sectional study. Participants were given a questionnaire through google form online and completed the questions about duration of WFH, BMI status, and physical activity. All of the variables were analyzed. Participants engaged in this study were 40% students, 33% private employees, 27% government employees. The majority of the population had overweight BMI status (39.2%). Furthermore, most participants were doing light physical activity (74.5%). About 46.1 % of the participants rarely doing WFH (1-2 days). On the other side, a population with overweight BMI status were often doing WFH. Based on the research about the effect of pandemic on BMI profile, it can be concluded that the BMI status of the majority of respondents is overweight, and most of the respondent’s physical activity are rare. The amount of WFH frequencies can affect BMI status profile.

Associations between Movement Behaviours and Obesity Markers among Preschoolers Compliant and Non-Compliant with Sleep Duration: A Latent Profile Analysis

This study identifies physical activity (PA) and sedentary behaviour (SB) clusters in preschoolers compliant (C) or non-compliant (NC) with sleep recommendations; and associates these clusters with obesity markers. PA and SB were objectively assessed (Actigraph WGT3-X) in 272 preschoolers (4.4 ± 0.7 years old). Sleep duration was parent-reported, and preschoolers were classified as C (3–4 years old: 600–780 min/day; 5 years old: 540–660 min/day) or NC with sleep recommendations. Body mass index (BMI) and waist circumference (WC) were assessed according to international protocols. Moderate to vigorous physical activity (MVPA) and light physical activity (LPA) were categorized as low/high (<60 min/>60 min/day or <180 min/180 min/day, respectively). SB was defined according to mean values between clusters. Latent profile analysis was performed. Associations between the observed clusters and obesity markers were determined using linear regression (RStudio; 1.3.1073). Four cluster solutions for C and NC preschoolers were identified. A negative association between C/Low MVPA cluster and BMI, and a positive association between NC/Low MVPA and BMI (β = −0.8, 95%CI = −1.6;−0.1, and β = 0.9, 95%CI = 0.1;1.7, respectively) were observed. No association was seen for SB clusters. Adequate sleep duration may have a protective role for preschoolers’ BMI, even if the children do not comply with MVPA recommendations.

Goldilocks Days: optimising children’s time use for health and well-being

BackgroundOne size rarely fits all in population health. Differing outcomes may compete for best allocations of time. Among children aged 11–12 years, we aimed to (1) describe optimal 24-hour time use for diverse physical, cognitive/academic and well-being outcomes, (2) pinpoint the ‘Goldilocks Day’ that optimises all outcomes and (3) develop a tool to customise time-use recommendations.MethodsIn 2004, the Longitudinal Study of Australian Children recruited a nationally-representative cohort of 5107 infants with biennial follow-up waves. We used data from the cross-sectional Child Health CheckPoint module (2015–2016, n=1874, 11–12 years, 51% males). Time use was from 7-day 24-hour accelerometry. Outcomes included life satisfaction, psychosocial health, depressive symptoms, emotional problems, non-verbal IQ; vocabulary, academic performance, adiposity, fitness, blood pressure, inflammatory biomarkers, bone strength. Relationships between time use and outcomes were modelled using compositional regression.ResultsOptimal daily durations varied widely for different health outcomes (sleep: 8.3–11.4 hours; sedentary: 7.3–12.2 hours; light physical activity: 1.7–5.1 hours; moderate-to-vigorous physical activity (MVPA): 0.3–2.7 hours, all models p≤0.04). In general, days with highest physical activity (predominantly MVPA) and low sedentary time were optimal for physical health, while days with highest sleep and lowest sedentary time were optimal for mental health. Days with highest sedentary time and lowest physical activity were optimal for cognitive health. The overall Goldilocks Day had 10 hours 21 min sleep, 9 hours 44 min sedentary time, 2 hours 26 min light physical activity and 1 hour 29 min MVPA. Our interactive interface allows personalisation of Goldilocks Days to an individual’s outcome priorities.Conclusion‘Goldilocks Days’ necessitate compromises based on hierarchies of priorities for health, social and economic outcomes.

Body Image Quality of Life Related to Light Physical Activity and Sedentary Behavior among Young Adults with Overweight/Obesity

Sedentary behaviors, low levels of physical activity (PA), and low body image quality of life have been identified during college years and associated with poor health outcomes. Public health efforts have recently focused on decreasing sedentary time by increasing light physical activity, both of which have been associated with body image quality of life, though mainly through self-report. In this cross-sectional study, we examined objective actigraphy and survey data from 404 of 459 young adults with overweight and obesity (mean age 23.3 ± 4.4 years, 78.4% female, 55.4% white). PA was measured using an accelerometer worn during waking hours for >10 h/day for four days. Body image quality of life was assessed using the Body Image Quality of Life Inventory Scale. Body image was positively correlated with light PA (r = 0.15) and inversely correlated with BMI (Pearson’s r = −0.20) and sedentary time (r = −0.10), but not moderate PA, vigorous PA, or MVPA. Light PA and sedentary time were significantly inversely correlated (r = −0.38). When controlling for covariates, higher body image quality of life was significantly associated with higher levels of light PA (β = 0.39; p < 0.01) and lower sedentary time (β = −0.39; p = 0.02). Participants with lower body image quality of life enrolled in weight loss interventions may benefit from prescriptions of light PA in conjunction with decreasing sedentary behaviors.

The Impact of Organised Sport, Physical Education and Active Commuting on Physical Activity in a Sample of New Zealand Adolescent Females

Background: The majority of adolescents do less physical activity than is recommended by the World Health Organization. Active commuting and participation in organised sport and/or physical education individually have been shown to increase physical activity in adolescents. However, how these domains impact physical activity both individually and in combination has yet to be investigated in a sample of New Zealand female adolescents from around the country. Methods: Adolescent females aged 15–18 y (n = 111) were recruited from 13 schools across eight locations throughout New Zealand to participate in this cross-sectional study. Participants completed questions about active commuting, and participation in organised sport and physical education, before wearing an Actigraph GT3X (Actigraph, Pensacola, FL, USA) +24 h a day for seven consecutive days to determine time spent in total, MVPA and light physical activity. Results: Active commuters accumulated 17 min/d (95% CI 8 to 26 min/d) more MVPA compared to those who did not. Those who participated in sport accumulated 45 min/d (95% CI 20 to 71 min/d) more light physical activity and 14 min/d (95% CI 5 to 23 min/d) more MVPA compared to those who did not. Participation in physical education did not seem to have a large impact on any component of physical activity. Participation in multiple domains of activity, e.g., active commuting and organised sport, was associated with higher accumulation of MVPA but not light activity. Conclusion Active commuting and sport both contribute a meaningful amount of daily MVPA. Sport participation has the potential to increase overall activity and displace sedentary behaviour. A combination of physical activity domains may be an important consideration when targeting ways to increase physical activity in adolescent females.

Exploring determinants of brand extension attitude to promote optimal levels of movement among children and youth

Purpose Some health behaviour promotion organizations are interested in promoting multiple behaviours to increase their health impact on a population. However, many of these organizations are better known for promoting only certain behaviours. The purpose of this study is to examine responses to an organization with a narrow brand (i.e. ParticipACTION) in its promotion of the different recommended movement-related behaviours (i.e. sleep, limited sedentary behaviour [SB], light physical activity [PA] and moderate to vigorous PA) to children. Potential brand-related determinants of attitude towards promotion of each behaviour (i.e. extension attitude) were specifically examined. Design/methodology/approach Data were collected in 2017 using an online cross-sectional survey. Canadian parents with at least one child 5–12 years of age (N = 109) were recruited through online advertisements and word-of-mouth. One multiple regression per behaviour was conducted. Extension attitude was the dependent variable and brand attitude, fit and the interaction between brand attitude and fit were the predictors. Findings For light and moderate PA, brand attitude was a strong predictor. For limited SB and sleep, fit was the dominant predictor. However, for light and moderate PA and limited SB, an interaction indicated that a positive brand attitude and the perception of high fit between the brand and the behaviour leads to the most positive extension attitude. Practical implications The findings suggest that movement promotion organizations should ensure parents have a positive brand attitude and have high perceptions of fit between the brand and the promoted behaviour. Originality/value This study provides the first evidence that determinants of brand extension attitude observed in the commercial domain also apply in the movement promotion domain. This research provides important information to organizations regarding how to effectively promote various behaviours when interested in expanding their usual repertoire.