Objectively Measured Daily Physical Activity and Postural Changes as Related to Positive and Negative Affect Using Ambulatory Monitoring Assessments

Effect of Daily Life Reward Loop Functioning on the Course of Depression

Engagement in activities increases positive affect (Reward Path 1), which subsequently reinforces motivation (Reward Path 2), and hence future engagement in activities (Reward Path 3). Strong connections between these three reward loop components are considered adaptive, and might be disturbed in depression. Although some ecological nomentary assessment (EMA) studies have investigated the cross-sectional association between separate reward paths and individuals' level of depression, no EMA study has looked into the association between individuals' reward loop strength and depressive symptom course. The present EMA study assessed reward loop functioning (5x/day, 28 days) of 46 outpatients starting depression treatment at secondary mental health services and monitored with the Inventory of Depressive Symptomatology-Self-Report (IDS-SR) during a 7-month period. Results of multilevel regression analyses showed significant within-person associations for Reward Path 1 (b = 0.21, p < .001), Reward Path 2 (b = 0.43, p < .001), and Reward Path 3 (b = 0.20, p < .001). Stronger average reward loops (i.e., within-person mean of all reward paths) did not relate to participants' improvement in depressive symptoms over time. Path-specific results revealed that Reward Paths 1 and 2 may have partly opposite effects on depressive symptom course. Together, our findings suggest that reward processes in daily life might be best studied separately and that further investigation is warranted to explore under what circumstances strong paths are adaptive or not.

Daily Physical Activity: Associations With Memory and Affect

PURPOSE

Little is known about effects of moderate to vigorous physical activity (MVPA) and resistance training on daily variations in memory and affect. This study examined the relationship of MVPA and resistance training to memory and affect in daily life.

DESIGN

Short-term longitudinal 7-day diary.

SETTING

Northeast; primarily Boston-area communities.

SAMPLE

Adults aged 25 to 94.

MEASURES

For seven days, MVPA was assessed with an Actigraph. and resistance training was self-reported. Each evening, memory failures, positive and negative affect were recorded in a written diary and objective memory performance was assessed by telephone.

ANALYSIS

Multilevel linear regression analyses examined the between and within person associations of MVPA and resistance training with memory performance, memory failures, and affect.

RESULTS

Those who engaged in more MVPA had better memory performance across the week (b = 0.0163, SE = 0.0076, f2 = 0.004, p = 0.033). Participants reported higher levels of positive affect on days in which they spent more time in MVPA than usual (b = 0.003, SE = 0.001, f2 = 0.144, p < .001) and on days they engaged in resistance training (b = 0.1547, SE = 0.079, f2 = 0.007; p = 0.049).

CONCLUSIONS

Those who spent more time in MVPA had better memory performance, and on days with greater than usual MVPA time and resistance training, affect was more positive than on days with less activity. Implications for motivating physical exercise are considered.

The subcomponents of affect scale (SAS): validating a widely used affect scale

OBJECTIVE

There is a need for a brief affect scale that also encompasses different components of affect relevant for researchers interested in physiological and health outcomes. The Subcomponents of Affect Scale (SAS) meets this need. This 18-item scale has nine positive and nine negative affect items encompassing six subscales (calm, well-being, vigour, depression, anxiety, anger). Previous research using the SAS has demonstrated its predictive validity, but no work has tested its subscale structure or longitudinal validity.

DESIGN

Data from the Common Cold Project in which individuals (N = 610) completed the SAS over the course of seven days were used.

RESULTS

Confirmatory factor analysis demonstrated the reliability of the subscale structure of the SAS across seven days (positive affect subscale structure: CFIs ≥ 0.98; negative affect subscale structure: CFIs ≥ 0.94 with day 6 CFI = 0.91) and tests of factorial invariance showed the scale is valid to use over time.

CONCLUSIONS

These results confirm the psychometric validity of the subscale structure of the SAS and imply that the subscales can be used longitudinally, allowing for its use in health research as well as non-health research that can benefit from its subscale structure and longitudinal capabilities.

Lower Fatigue in Fit and Positive Women with Fibromyalgia: The al-Ándalus Project

OBJECTIVE

To analyze 1) the independent association of physical fitness, positive affect, and negative affect with the different dimensions of fatigue (general fatigue, physical fatigue, reduced activity, reduced motivation, and mental fatigue) and 2) whether the interactions of physical fitness, positive affect, and negative affect were associated with fatigue over and above the independent association.

DESIGN

Cross-sectional study in 420 women with fibromyalgia.

SETTING

Fibromyalgia associations from southern Spain.

METHODS

Physical fitness was measured by performance-based tests, and questionnaires were used to measure positive affect, negative affect, and different dimensions of fatigue (general fatigue, physical fatigue, reduced activity, reduced motivation, and mental fatigue). Age, body mass index, and current pain level were included as potential confounders in all analyses.

RESULTS

Physical fitness was independently associated with general fatigue, physical fatigue, and reduced activity (all P ≤ 0.02). Positive affect was independently associated with all fatigue dimensions (all P < 0.001). Negative affect was independently associated with general fatigue, physical fatigue, reduced motivation, and mental fatigue (all P ≤ 0.04). The interaction of overall physical fitness and positive affect was related to general fatigue and physical fatigue (all P ≤ 0.02). Women with fibromyalgia with higher levels of overall physical fitness and positive affect showed the lowest general fatigue and physical fatigue.

CONCLUSIONS

In women with fibromyalgia, positive affect was independently and consistently associated with all dimensions of fatigue. The combination of higher levels of overall physical fitness and positive affect might serve as a buffer against general and physical fatigue in women with fibromyalgia.

Exercise, Flourishing, and the Positivity Ratio in Seventh-Day Adventists: A Prospective Study

PURPOSE

Flourishing and mental health in the prediction of health behaviors such as exercise has been understudied. Positive emotions may promote, and negative emotions hinder protective health behaviors; however, the direction of these associations is unclear. The objective here was to investigate possible associations prospectively.

DESIGN

Longitudinal cohort study.

SETTING

National.

SAMPLE

The Biopsychosocial Religion and Health Study of Seventh-day Adventists provided longitudinal data from 2006 to 2007 and 2010 to 2011 (n = 5789).

MEASURES

Flourishing was based on 6 measures of social functioning (positive social exchanges, negative social exchanges, religious emotional support given, received, and anticipated, and negative interactions) and 4 measures of psychological functioning (mastery, self-esteem, spiritual meaning, and perceived stress). The positivity ratio was the ratio of positive to negative emotions assessed with the Positive and Negative Affect Schedule.

ANALYSIS

Linear multiple regression and mediation.

RESULTS

Flourishing worked indirectly through the positivity ratio to predict a later increase in exercise over the course of 3 to 5 years. Tests of mediation suggest that the association of flourishing with later exercise was indirect through an increased ratio of positive to negative affect. Initial exercise frequency was also associated with later improved flourishing and positivity ratio scores over the same period.

CONCLUSION

The association of mental health and exercise is likely bidirectional. Exercise improves mental health, and those that have better psychosocial functioning have better mood and are more likely to increase exercise behaviors over time. Exercise is likely integral to mental health in mid to late life.

Affect Improvements and Measurement Concordance Between a Subjective and an Accelerometric Estimate of Physical Activity

Abstract. Objectives: Physical activity (PA) positively influences several aspects of mental well-being including affect improvements. Yet, the fact that subjective and objective measures of PA often diverge challenges research on the relationship of PA and affect. Methods: Subjective (ecological momentary assessment, EMA) and objective (combined heart rate and accelerometric activity tracker) measures of PA alongside repeated ratings of positive and negative affects were obtained from 37 participants over 7 consecutive days. Results: Subjective and objective PA were significantly positively correlated. Affect improvements, that is, negative affect decrease as well as positive affect increase, were predicted by both subjective (EMA) and objective (activity tracker) data. Conclusions: Measurement concordance supports the validity of both assessment strategies. Affect improvements result from both subjective representations of one’s own activity as well as from physiological mechanisms of PA that one is not aware of, suggesting two independent routes to affect improvements.

mHealth technology for ecological momentary assessment in physical activity research: a systematic review

OBJECTIVE

To systematically review the publications on ecological momentary assessment (EMA) relating to physical activity (PA) behavior in order to classify the methodologies, and to identify the main mHealth technology-based tools and procedures that have been applied during the first 10 years since the emergence of smartphones. As a result of this review, we want to ask if there is enough evidence to propose the use of the term "mEMA" (mobile-based EMA).

DESIGN

A systematic review according to PRISMA Statement (PROSPERO registration: CRD42018088136).

METHOD

Four databases (PsycINFO, CINALH, Medline and Web of Science Core Collection) were searched electronically from 2008 to February 2018.

RESULTS

A total of 76 studies from 297 potential articles on the use of EMA and PA were included in this review. It was found that 71% of studies specifically used "EMA" for assessing PA behaviors but the rest used other terminology that also adjusted to the inclusion criteria. Just over half (51.3%) of studies (39) used mHealth technology, mainly smartphones, for collecting EMA data. The majority (79.5%) of these studies (31 out of 39) were published during the last 4 years. On the other hand, 58.8% of studies that only used paper-and-pencil were published during the first 3 years of the 10-year period analyzed. An accelerometer was the main built-in sensor used for collecting PA behavior by means of mHealth (69%). Most of the studies were carried out on young-adult samples, with only three studies in older adults. Women were included in 60% of studies, and healthy people in 82%. The studies lasted between 1 and 7 days in 57.9%, and between three and seven assessments per day were carried out in 37%. The most popular topics evaluated together with PA were psychological state and social and environmental context.

CONCLUSIONS

We have classified the EMA methodologies used for assessing PA behaviors. A total of 71% of studies used the term "EMA" and 51.3% used mHealth technology. Accelerometers have been the main built-in sensor used for collecting PA. The change of trend in the use of tools for EMA in PA coincides with the technological advances of the last decade due to the emergence of smartphones and mHealth technology. There is enough evidence to use the term mEMA when mHealth technology is being used for monitoring real-time lifestyle behaviors in natural situations. We define mEMA as the use of mobile computing and communication technologies for the EMA of health and lifestyle behaviors. It is clear that the use of mHealth is increasing, but there is still a lot to be gained from taking advantage of all the capabilities of this technology in order to apply EMA to PA behavior. Thus, mEMA methodology can help in the monitoring of healthy lifestyles under both subjective and objective perspectives. The tendency for future research should be the automatic recognition of the PA of the user without interrupting their behavior. The ecological information could be completed with voice messages, image captures or brief text selections on the touch screen made in real time, all managed through smartphone apps. This methodology could be extended when EMA combined with mHealth are used to evaluate other lifestyle behaviors.

On Placement, Location and Orientation of Wrist-Worn Tri-Axial Accelerometers during Free-Living Measurements

Wearable accelerometers have recently become a standalone tool for the objective assessment of physical activity (PA). In free-living studies, accelerometers are placed by protocol on a pre-defined body location (e.g., non-dominant wrist). However, the protocol is not always followed, e.g., the sensor can be moved between wrists or reattached in a different orientation. Such protocol violations often result in PA miscalculation. We propose an approach, PLOE ("Placement, Location and Orientation Evaluation method"), to determine the sensor position using statistical features from the raw accelerometer measurements. We compare the estimated position with the study protocol and identify discrepancies. We apply PLOE to the measurements collected from 45 older adults who wore ActiGraph GT3X+ accelerometers on the left and right wrist for seven days. We found that 15.6% of participants who wore accelerometers violated the protocol for one or more days. The sensors were worn on the wrong hand during 6.9% of the days of simultaneous wearing of devices. During the periods of discrepancies, the daily PA was miscalculated by more than 20%. Our findings show that correct placement of the device has a significant effect on the PA estimates. These results demonstrate a need for the evaluation of sensor position.

A Practical Guide to Analyzing Time-Varying Associations between Physical Activity and Affect Using Multilevel Modeling

There is growing interest in within-person associations of objectively measured physical and physiological variables with psychological states in daily life. Here we provide a practical guide with SAS code of multilevel modeling for analyzing physical activity data obtained by accelerometer and self-report data from intensive and repeated measures using ecological momentary assessments (EMA). We review previous applications of EMA in research and clinical settings and the analytical tools that are useful for EMA research. We exemplify the analyses of EMA data with cases on physical activity data and affect and discuss the future challenges in the field.