The Association Between Physical Activity and Attentional Control in Younger and Older Middle-Aged Adults

GeroPsych ◽  
2012 ◽  
Vol 25 (4) ◽  
pp. 207-221 ◽  
Author(s):  
Axel H. Winneke ◽  
Ben Godde ◽  
Eva-Maria Reuter ◽  
Solveig Vieluf ◽  
Claudia Voelcker-Rehage

This study investigates the association between physical activity level and attentional control in a group of younger and older middle-aged adults (MA). Participants performed a Flanker task; two types of conflict were analyzed: response and perceptual conflict. For perceptual conflict, behavioral findings suggest that, irrespective of age, physical activity is positively associated with attentional control. For response conflicts, only highly active younger MA showed better attentional control, indicated by increased amplitudes of the event related potential N2 and reduced interference costs by distracting information. Physical activity did not modulate P3 amplitudes. The findings are discussed with respect to physical activity as functional approach to maintain cognitive functioning across the lifespan.

Author(s):  
Jin Luo ◽  
Raymond Y. W. Lee

AbstractPhysical activity brings significant health benefits to middle-aged adults, although the research to date has been focused on late adulthood. This study aims to examine how ageing affects the self-reported and accelerometer-derived measures of physical activity levels in middle-aged adults. We employed the data recorded in the UK Biobank and analysed the physical activity levels of 2,998 participants (1381 men and 1617 women), based on self-completion questionnaire and accelerometry measurement of physical activity. We also assessed the musculoskeletal health of the participants using the dual-energy X-ray absorptiometry (DXA) measurements provided by the UK Biobank. Participants were categorised into three groups according to their age: group I younger middle-aged (40 to 49 years), group II older middle-aged (50 to 59 years), and group III oldest middle-aged (60 to 69 years). Self-reported physical activity level increased with age and was the highest in group III, followed by group II and I (P < 0.05). On the contrary, physical activity measured by accelerometry decreased significantly with age from group I to III (P < 0.05), and the same pertained to the measurements of musculoskeletal health (P < 0.05). It was also shown that middle-aged adults mostly engaged in low and moderate intensity activities. The opposing trends of the self-reported and measured physical activity levels may suggest that middle-aged adults over-report their activity level as they age. They should be aware of the difference between their perceived and actual physical activity levels, and objective measures would be useful to prevent the decline in musculoskeletal health.


2021 ◽  
Author(s):  
Breanne Michelle Laird ◽  
Megan Puzia ◽  
Linda Larkey ◽  
Diane Ehlers ◽  
Jennifer Huberty

BACKGROUND Middle-aged adults (40 to 65 years) report higher stress than most age groups. There is a need to test the feasibility of using a meditation app to reduce stress and improve stress-related outcomes in both middle-aged men and women. OBJECTIVE Therefore, the purpose of this study was to: (1) determine the feasibility (i.e., acceptability and demand) of a consumer-based meditation app (i.e., Calm) to reduce stress in middle-aged adults reporting elevated stress; and (2) explore the preliminary effects of Calm on perceived stress, psychological outcomes (i.e., anxiety, depressive symptoms, mindfulness, general coping), health behaviors (i.e., physical activity, eating habits), and perceptions of COVID-19. METHODS The current study is a double-blind randomized controlled feasibility study testing a brief app-based meditation (i.e., Calm) intervention in middle-aged adults (N=83) with elevated stress levels (i.e., score greater than or equal to 15 on the Perceived Stress Scale) and limited or no previous experience with meditation. Participants were randomized to an app-based meditation intervention (Calm) or app-based education control group (POD). Participants completed self-report assessments at baseline and post-intervention (Week 4). Feasibility was measured as acceptability and demand using Bowen’s framework. Feasibility and COVID-19 perceptions data were examined via descriptive statistics. Preliminary effects were examined using repeated-measures analysis of variance. RESULTS Participants were satisfied with the meditation intervention (96.4%; 27/28) and found it appropriate/useful (92.9%; 26/28). Most reported that they were likely to continue using Calm in the future (64.3%; 18/28). More participants in the Calm group reported satisfaction, appropriateness/usefulness, and intent to continue use compared to the control. Calm participants (n=33) averaged 20.0±31.1 minutes of meditation on the days they meditated and 103±109.1 minutes of meditation per week during the study. On average there was a 70.8% adherence rate to the prescribed meditation, compared to 62.2% in POD. Recruitment of men into the study was 34.9% (29/83). Of those randomized to Calm, 55.2% (15/29) were men. Retention among men was 93.3% (14/15) compared to 60% (12/20) for women. No significant within or between group differences in stress or psychological outcomes related to stress were observed nor were significant differences in health behaviors related to stress. CONCLUSIONS A four-week, app-based mindfulness meditation intervention (i.e., Calm) may be feasible in middle-aged adults. Calm participants expressed satisfaction with the intervention and felt it was appropriate and useful. However, significant improvements in perceived stress and psychological outcomes (i.e., anxiety, depressive symptoms, mindfulness and general coping) or health behaviors related to stress (i.e., physical activity, eating habits) were not observed. The majority of participants reported that COVID-19 negatively impacted their stress, mental health, and physical health. More research is needed for improving stress and stress related outcomes in middle-aged men and women using mindfulness meditation apps. CLINICALTRIAL ClinicalTrials.gov NCT04272138; http://clinicaltrials.gov/ct2/show/NCT04272138.


2016 ◽  
Vol 11 (3) ◽  
Author(s):  
Bart Dewulf ◽  
Tijs Neutens ◽  
Delfien Van Dyck ◽  
Ilse De Bourdeaudhuij ◽  
Steven Broekx ◽  
...  

Physical activity is an important facilitator for health and wellbeing, especially for late middle-aged adults, who are more susceptible to cardiovascular diseases. Physical activity performed in green areas is supposed to be particularly beneficial, so we studied whether late middle- aged adults are more active in green areas than in non-green areas and how this is influenced by individual characteristics and the level of neighbourhood greenness. We tracked 180 late middle-aged (58 to 65 years) adults using global positioning system and accelerometer data to know whether and where they were sedentary or active. These data were combined with information on land use to obtain information on the greenness of sedentary and active hotspots. We found that late middle-aged adults are more physically active when spending more time in green areas than in non-green areas. Spending more time at home and in non-green areas was found to be associated with more sedentary behaviour. Time spent in non-green areas was found to be related to more moderate-to-vigorous physical activity (MVPA) for males and to less MVPA for females. The positive association between time spent in green areas and MVPA was the strongest for highly educated people and for those living in a green neighbourhood. This study shows that the combined use of global positioning system and accelerometer data facilitates understanding of where people are sedentary or physically active, which can help policy makers encourage activity in this age cohort.


2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Seungho Ryu ◽  
Yoosoo Chang ◽  
Jeonggyu Kang ◽  
Kyung Eun Yun ◽  
Hyun-Suk Jung ◽  
...  

Circulation ◽  
2021 ◽  
Vol 143 (Suppl_1) ◽  
Author(s):  
Minsuk Oh ◽  
Kelley Pettee Gabriel ◽  
David R Jacobs ◽  
James G Terry ◽  
Jingzhong Ding ◽  
...  

Introduction: Pericardial adipose tissue (PAT), an ectopic adipose depot surrounding the coronary arteries, is a pathogenic risk factor for cardiometabolic disease; however, the association of sedentary behavior with PAT is poorly understood. We examined the longitudinal association of 10-year change in TV viewing with concurrent change in PAT. Hypothesis: Increased h/day of TV viewing over 10 years are associated with larger mean increases in PAT during the same 10-year period. Methods: Middle-aged adults (N=1659, mean age=40.4, 912 females, 733 blacks) from the Coronary Artery Risk Development in Young Adults (CARDIA) Study at the exam years 15 (2000-2001) and 25 (2010-2011) were included. Both TV viewing (h/day) and the volume of PAT (mL) were measured at Years 15 and 25 using the CARDIA physical activity questionnaire and computed tomography, respectively. Covariates measured at year 15 included PAT, sociodemographic factors, cardiovascular disease risk factors, diet quality, TV viewing, moderate-to-vigorous intensity physical activity (MVPA), inflammatory cytokines, and waist circumference. Multivariable linear regression was used to estimate 10-year change in PAT across increasing tertiles (≤ -1, > -1 to < 1, ≥ 1 h/day) of 10-year changes in TV viewing. Results: On average, TV viewing and PAT increased between the two exam years by 0.2 h/day (8.7% increase, mean: 2.3 → 2.5 h/day) and 11.8 mL (25.9% increase, mean: 45.6 → 57.4 mL), respectively (all p < 0.01). In the fully adjusted model including MVPA and other major confounders, the highest tertile of 10-year change in TV viewing was associated with greater change in PAT (β = 2.97 mL, p < 0.01) when compared with the lowest tertile (see Figure 1 ), while mean PAT change was intermediate in the middle tertile. Conclusions: A greater 10-year increase in TV viewing is associated with a greater concurrent increase in PAT, independent of MVPA and other important confounders. Reducing TV viewing time may be associated with less PAT accumulation with age.


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