Physical activity is the best buy in medicine, but perhaps for less obvious reasons

Classifying the non-metabolic demands of different physical activity types: The Physical Activity Demand (PAD) typology

Different physical activity types vary in metabolic demand (intensity), but also in non-metabolic physical demand (balance, co-ordination, speed and flexibility), cognitive demand (attention, memory and decision making), and social demand (social interaction). Activity types with different combinations of demands may have different effects on health outcomes but this cannot be formally tested until such demands can be reliably quantified. The present Delphi expert consensus study aimed to objectively quantify the cognitive, physical and social demands of different core physical activity types and use these scores to create a formal Physical Activity Demand (PAD) typology. International experts (n = 40; experts in cognitive science, psychology, sports science and physiology; 7 different nationalities; 18 male/22 female; M = 13.75 years of disciplinary experience) systematically rated the intrinsic cognitive, physical and social demands of 61 common activity types over 2-rounds of a modified Delphi (expert consensus) study. Consensus (>70% agreement) was reached after 2 rounds on the demands of 59/61 activity types. Cognitive, physical and social demand scores were combined to create an overall non-metabolic demand rating for each activity type, and two-step cluster-analysis was used to identify groups of activities with comparable demand profiles. Three distinct clusters of activities were identified representing activity types with low (n = 12 activities; e.g. domestic cleaning), moderate (n = 23 activities; e.g. tai-chi) and high (n = 24 activities; e.g. football) total non-metabolic demands. These activity types were then organised into a formal typology. This typology can now be used to test hypotheses about if and why physical activity types with different combinations of cognitive, physical and social demands affect health outcomes in different ways.

The Association Between Leisure-time Physical Activity, Sedentary Behavior, and Low Back Pain: A Cross-sectional Analysis in Primary Care Settings

STUDY DESIGN

Observational cross-sectional.

OBJECTIVE

To investigate the association between leisure-time physical activity (LTPA) and low back pain (LBP) in adults from primary care settings, and to explore how sedentary behavior influences this association.

SUMMARY OF BACKGROUND DATA

LTPA is inversely associated with LBP. However, there is no study investigating this association in primary care settings from a middle-income country. Moreover, the influence of sedentary behavior in this association is unknown.

METHODS

Cross-sectional analysis of an ongoing longitudinal study with adults from Bauru, Brazil (n = 557). Data on physical activity, sedentary behavior (sitting time), LBP, body mass index (BMI), and chronic diseases were assessed by face-to-face interviews, physical evaluation, and medical records. Binary logistic regression was used to test the association of LTPA with the presence of LBP. Sociodemographic, behavioral, and health variables were used as covariables in the multivariable models.

RESULTS

The fully adjusted model showed that active participants were 33% less likely to have LBP when compared with those insufficiently active (odds ratios [OR]: 0.67 [95% CI: 0.46-0.98]). A significant association was found for active participants who spent less than 3 h/day sitting (OR: 0.45 [95% CI: 0.23-0.89]) but not for those who spent 3 h/day or more in sedentary activities (OR: 0.78 [95% CI: 0.48-1.27]). An inverse association of LTPA with LBP was observed in obese participants (OR = 0.49 [95% CI: 0.25-0.94]), but not in those with normal BMI and overweight.

CONCLUSION

LTPA was inversely associated with the prevalence of LBP in adults from primary care. This association was influenced by sedentary behavior and BMI.Level of Evidence: 4.

German recommendations for physical activity and physical activity promotion in adults with noncommunicable diseases

Background

Existing physical activity guidelines predominantly focus on healthy age-stratified target groups. The objective of this study was to develop evidence-based recommendations for physical activity (PA) and PA promotion for German adults (18–65 years) with noncommunicable diseases (NCDs).

Methods

The PA recommendations were developed based on existing PA recommendations. In phase 1, systematic literature searches were conducted for current PA recommendations for seven chronic conditions (osteoarthrosis of the hip and knee, chronic obstructive pulmonary disease, stable ischemic heart disease, stroke, clinical depression, and chronic non-specific back pain). In phase 2, the PA recommendations were evaluated on the basis of 28 quality criteria, and high-quality recommendations were analysed. In phase 3, PA recommendations for seven chronic conditions were deducted and then synthesised to generate generic German PA recommendations for adults with NCDs. In relation to the recommendations for PA promotion, a systematic literature review was conducted on papers that reviewed the efficacy/effectiveness of interventions for PA promotion in adults with NCDs.

Results

The German recommendations for physical activity state that adults with NCDs should, over the course of a week, do at least 150 min of moderate-intensity aerobic PA, or 75 min of vigorous-intensity aerobic PA, or a combination of both. Furthermore, muscle-strengthening activities should be performed at least twice a week. The promotion of PA among adults with NCDs should be theory-based, specifically target PA behaviour, and be tailored to the respective target group. In this context, and as an intervention method, exercise referral schemes are one of the more promising methods of promoting PA in adults with NCDs.

Conclusion

The development of evidence-based recommendations for PA and PA promotion is an important step in terms of the initiation and implementation of actions for PA-related health promotion in Germany. The German recommendations for PA and PA promotion inform adults affected by NCDs and health professionals on how much PA would be optimal for adults with NCDs. Additionally, the recommendations provide professionals entrusted in PA promotion the best strategies and interventions to raise low PA levels in adults with NCDs. The formulation of specific PA recommendations for adults with NCDs and their combination with recommendations on PA promotion is a unique characteristic of the German recommendations.

Chronic noncommunicable diseases multimorbidity and its association with physical activity and television time in a representative Brazilian population

Lifestyle behaviors need to be more explored within the context of chronic noncommunicable disease (NCD) multimorbidity. This study aimed to investigate the association of multimorbidity with physical activity and sedentary behavior in a representative Brazilian population (n = 52,929). A cross-sectional survey (VIGITEL in the Portuguese acronym) was conducted in 2013 in the 27 Brazilian federal units. Multimorbidity is defined as the presence of two or more NCDs, that is, the outcome variable; and physical activity (commuting, domestic chores, leisure, and work domains) and sedentary behavior (television time < 2 hours/day and ≥ 2 hours/day) were the exposure variables. Poisson and multinomial logistic regressions (odds ratio - OR) stratified by age and their respective 95% confidence intervals were used, adopting a significance level of 5%. Among 37,947 adults, the presence of three chronic diseases was less frequent in subjects active in the work domain (OR = 0.60) and more frequent among those with longer daily television time (OR = 1.25). The presence of four diseases was less frequent in subjects active in the commuting (OR = 0.52) and work (OR = 0.42) domains. Among 14,982 older adults, the presence of two, three, and four chronic diseases was consistently more frequent in those with longer daily television time (OR = 1.33; 1.55 and 1.93, respectively). Finally, interactions between total physical activity level and daily television time were statistically significant in the multimorbidity in both age groups. Physical activity and sedentary behavior are associated with multimorbidity and should be considered independent factors for health promotion and for the treatment of patients with multimorbidity.

Associations between active travel and diet: cross-sectional evidence on healthy, low-carbon behaviours from UK Biobank

OBJECTIVES

To examine whether there are associations between active travel and markers of a healthy, low-carbon (HLC) diet (increased consumption of fruit and vegetables (FV), reduced consumption of red and processed meat (RPM)).

DESIGN

Cross-sectional analysis of a cohort study.

SETTINGS

Population cohort of over 500 000 people recruited from 22 centres across the UK. Participants aged between 40 and 69 years were recruited between 2006 and 2010.

PARTICIPANTS

412 299 adults with complete data on travel mode use, consumption of FV and RPM, and sociodemographic covariates were included in the analysis.

EXPOSURE MEASURES

Mutually exclusive mode or mode combinations of travel (car, public transport, walking, cycling) for non-work and commuting journeys.

OUTCOME MEASURES

Consumption of FV measured as portions per day and RPM measured as frequency per week.

RESULTS

Engaging in all types of active travel was positively associated with higher FV consumption and negatively associated with more frequent RPM consumption. Cycling exclusively or in combination with walking was most strongly associated with increased dietary consumption of FV and reduced consumption of RPM for both non-work and commuting journeys. Overall, the strongest associations were between non-work cycling and FV consumption (males: adjusted OR=2.18, 95% CI 2.06 to 2.30; females: adjusted OR=2.50, 95% CI 2.31 to 2.71) and non-work cycling and RPM consumption (males: adjusted OR=0.57, 95% CI 0.54 to 0.60; females: adjusted OR=0.54, 95% CI 0.50 to 0.59). Associations were generally similar for both commuting and non-work travel, and were robust to adjustment with sociodemographic and behavioural factors.

CONCLUSIONS

There are strong associations between engaging in active travel, particularly cycling, and HLC dietary consumption, suggesting that these HLC behaviours are related. Further research is needed to better understand the drivers and dynamics between these behaviours within individuals, and whether they share common underlying causes.

Association between habitual physical activity on episodic memory strategy use and memory controllability

Background: The primary objective of this study was to evaluate the association between habitual physical activity engagement and perceived controllability of memory function. Secondary objectives included the evaluation of physical activity on memory strategy use, and whether the latter mediates the relationship between physical activity on memory controllability. Methods: Two-hundred and nine young adults (M_age=25 y) completed a brief survey evaluating physical activity (Physical Activity Vital Signs Questionnaire), memory strategy use (Memory Functioning Questionnaire), and memory controllability (Memory Controllability Inventory). Results: Physical activity was not associated with memory strategy use (β=0.68; 95% CI: -1.25,2.62; P=0.48), nor was memory strategy use associated with memory controllability. Physical activity was consistently associated with various attributes of memory controllability, including Present Ability (β=1.10; 95% CI: 0.07, 2.12; P=0.03), Potential Improvement (β=0.84; 95% CI:0.05, 1.63; P=0.03), Effort Utility (β=0.87; 95% CI: 0.11, 1.61; P=0.02), Inevitable Decrement (β=-1.19; 95% CI: -2.19, -0.19; P=0.02) and Alzheimer's likelihood (β=-1.21; 95% CI: -2.29,-0.12; P=0.02). Conclusion: Physical activity is consistently associated with greater perceptions of memory controllability. Future longitudinal and experimental work on this topic is warranted to evaluate if physical activity can foster an individual's ability to modify their behavior and cognitions to enhance and preserve memory function.

The Prospective Association Between the Five Factor Personality Model With Health Behaviors and Health Behavior Clusters

To examine the prospective association of personality with individual behavior, multibehavior and clustered health behavior profiles. A prospective study design was employed. Two hundred young adults provided baseline data and 126 (mean age: 21.6 yrs) provide complete data for a 5-month follow-up assessment (63% response rate). Personality and health behaviors (and covariates) were assessed via validated questionnaires. A multibehavior index variable was created ranging from 0-5; two separate health behavior cluster indices were created, including high (4-5 behaviors) vs. low (2 or fewer) behavior adoption and an energy balance cluster (MVPA and diet). When examining MVPA as a continuous variable, the personality trait conscientiousness was prospectively associated with MVPA and a healthy diet. Extraversion was prospectively associated with high (vs. low) behavioral clustering (OR = 1.18; 95% CI: 1.00-1.40) and conscientiousness was prospectively associated with energy balance clustering (OR = 1.09; 95% CI: 1.01-1.17). Extraversion, conscientiousness, openness to experience, and agreeableness were associated with select health-related behaviors. Further, extraversion and conscientiousness were associated with health behavior clustering.

A Conceptual Neurocognitive Affect-Related Model for the Promotion of Exercise Among Obese Adults

PURPOSE OF REVIEW

Obesity remains a prominent societal threat and burden despite well-promoted prevention and treatment strategies, such as regular engagement in physical activity. Obese individuals, in particular, may be prone to inactivity as a result of a variety of displeasure-related parameters resulting from exercise, such as dyspnea, for instance.

RECENT FINDINGS

This brief conceptual review discusses the integral roles of exercise-induced affective responses within a novel conceptual-based neurocognitive affect-related model. Specifically, this model includes three pathways: (1) pathway A proposes that neurocognition, and especially, executive function-based cognition, may play an influential role in fostering exercise-induced affective responses, (2) pathway B connects an individual's affective response from exercise to their future exercise behavior, and (3) pathway C suggests a cyclical, bi-directional relationship with executive function indirectly influencing future exercise behavior via affective responses to exercise, and exercise itself playing an important role in executive functioning. Future studies should empirically test this model, which may have utility for promoting exercise among the obese population.

Dose-Response Association Between Physical Activity and Cognitive Function in a National Sample of Older Adults

PURPOSE

Previous research demonstrates a favorable effect of physical activity on cognitive function among older adults. The potential dose-response relationship between physical activity and cognitive function in this population is less understood, which was the purpose of this study.

SETTING

Data from the 1999 to 2002 National Health and Nutrition Examination Survey were employed.

PARTICIPANTS

A total of 2157 older adults aged 60 to 85 years.

MEASURES

Cognitive function was assessed from the Digit Symbol Substitution Test. Moderate-to-vigorous physical activity (MVPA), expressed as metabolic equivalent of task (MET)-min-month (MET-min-month = days × duration × MET level), was assessed via self-report, with 5 MVPA categories evaluated: (1) <2000 MVPA MET-min-month, (2) 2000 to 3999 MVPA MET-min-month, (3) 4000 to 5999 MVPA MET-min-month, (4) 6000 to 7999 MVPA MET-min-month, and (5) 8000+ MVPA MET-min-month.

ANALYSIS

Weighted multivariable linear regression.

RESULTS

An inverted U-shaped relationship was observed. Consistent across several adjusted models, those who engaged in 6000 to 7999 MVPA MET-min-month had the highest cognitive function score.

CONCLUSION

The results suggest an optimal amount of physical activity to prevent the cognitive decline associated with aging.

Executive function influences sedentary behavior: A longitudinal study

Background: No study has evaluated the effects of executive function on follow-up sedentary behavior, which was this study’s purpose.

Methods: A longitudinal design was employed among 18 young adult college students (M_age = 23.7 years; 88.9% female). Accelerometer-determined sedentary behavior and physical activity, along with executive function, were assessed at baseline. Approximately 8 weeks later, re-assessment of accelerometer-determined sedentary behavior and physical activity occurred. Executive function was assessed using the Parametric Go/No-Go (PGNG) computer task. From this, 2 primary executive function outcome parameters were evaluated, including the Simple Rule and Repeating Rule.

Results: After adjusting for baseline sedentary behavior, age, gender, body mass index and baseline moderate-to-vigorous physical activity (MVPA), for every 25% increase in the number of correctly identified targets for the Repeating rule at the baseline assessment, participants engaged in 91.8 fewer minutes of sedentary behavior at the follow-up assessment (β = -91.8; 95% CI: -173.5, -10.0; P = 0.03). Results were unchanged when also adjusting for total baseline or follow-up physical activity.

Conclusion: Greater executive function is associated with less follow-up sedentary behavior.

A Bidirectional Relationship between Executive Function and Health Behavior: Evidence, Implications, and Future Directions

Physically active lifestyles and other health-enhancing behaviors play an important role in preserving executive function into old age. Conversely, emerging research suggests that executive functions facilitate participation in a broad range of healthy behaviors including physical activity and reduced fatty food, tobacco, and alcohol consumption. They do this by supporting the volition, planning, performance monitoring, and inhibition necessary to enact intentions and override urges to engage in health damaging behavior. Here, we focus firstly on evidence suggesting that health-enhancing behaviors can induce improvements in executive function. We then switch our focus to findings linking executive function to the consistent performance of health-promoting behaviors and the avoidance of health risk behaviors. We suggest that executive function, health behavior, and disease processes are interdependent. In particular, we argue that a positive feedback loop may exist whereby health behavior-induced changes in executive function foster subsequent health-enhancing behaviors, which in turn help sustain efficient executive functions and good health. We conclude by outlining the implications of this reciprocal relationship for intervention strategies, the design of research studies, and the study of healthy aging.

Epidemiological investigation of muscle-strengthening activities and cognitive function among older adults

Limited research has examined the association of muscle-strengthening activities and executive cognitive function among older adults, which was this study's purpose. Data from the 1999-2002 NHANES were employed (N = 2157; 60-85 years). Muscle-strengthening activities were assessed via self-report, with cognitive function assessed using the digit symbol substitution test. After adjusting for age, age-squared, gender, race-ethnicity, poverty level, body mass index, C-reactive protein, smoking, comorbid illness and physical activity, muscle-strengthening activities were significantly associated with cognitive function (βadjusted = 3.4; 95% CI: 1.7-5.1; P < 0.001). Compared to those not engaging in aerobic exercise and not meeting muscle-strengthening activity guidelines, those doing 1 (βadjusted = 3.7; 95% CI: 1.9-5.4; P < 0.001) and both (βadjusted = 6.6; 95% CI: 4.8-8.3; P < 0.001) of these behaviors had a significantly higher executive cognitive function score. In conclusion, muscle-strengthening activities are associated with executive cognitive function among older U.S. adults, underscoring the importance of promoting both aerobic exercise and muscle-strengthening activities to older adults.

Multimorbidity, cognitive function, and physical activity

Previous research demonstrates that both physical activity and multimorbidity are associated with cognitive function. However, the extent to which physical activity may moderate the relationship between multimorbidity and cognitive function has not been thoroughly evaluated. Data from the 1999-2002 NHANES were used (60+ years; N = 2157). A multimorbidity index variable was created based on physician diagnosis of a multitude of chronic diseases. Physical activity was self-reported and cognitive function was evaluated from the digit symbol substitution test. Multimorbidity was inversely associated with cognitive function for the unadjusted and adjusted models. However, generally, multimorbidity was no longer associated with cognitive function for the majority of older adults who achieved the minimum recommended physical activity level (≥2000 MET-min-month), as issued by the United States Department of Health and Human Services. In this national sample of older adults, there was some evidence to suggest that physical activity moderates the relationship between multimorbidity and cognitive function.

Health-enhancing multibehavior and medical multimorbidity

OBJECTIVE

To examine the association of multibehavior on multimorbidity.

PATIENTS AND METHODS

Data from the 2005-2006 National Health and Nutrition Examination Survey were used. The study duration was from October 20, 2013, through December 16, 2014. A multimorbidity index variable was created that indicated the number of 14 morbidities that each patient had. A multibehavior index variable was created that indicated the number of 4 health-enhancing behaviors each participant had; physical activity was assessed via accelerometry, dietary behavior was assessed via an interview, smoking was determined via cotinine levels, and sleep duration was self-reported.

RESULTS

For the entire sample of 2048 participants, those with 1, 2, 3, and 4 health behaviors, compared with 0 health behaviors, had a 35% (odds ratio [OR], 0.65; 95% CI, 0.47-0.90; P=.01), 44% (OR, 0.56; 95% CI, 0.38-0.82; P=.006), 63% (OR, 0.37; 95% CI, 0.26-0.51; P<.001), and 69% (OR, 0.31; 95% CI, 0.19-0.52; P<.001) reduced odds of being multimorbid, respectively. Only physical activity (β=-.46) and sleep (β=-.23) were independently associated with multimorbidity, and only 2 health behavior combinations were associated with multimorbidity: physical activity and sleep (β=-.17) and physical activity and nonsmoking (β=-.16).

CONCLUSIONS

Americans engaging in more health behaviors were less likely to be multimorbid. Physical activity was independently, as well is in combination with other health behaviors, associated with multimorbidity. Implications for developing a multibehavior-multimorbidity framework to treat the patients' holistic needs is discussed.