Network dynamics of momentary affect states and future course of psychopathology in adolescents

Background Recent theories argue that an interplay between (i.e., network of) experiences, thoughts and affect in daily life may underlie the development of psychopathology. Objective To prospectively examine whether network dynamics of everyday affect states are associated with a future course of psychopathology in adolescents at an increased risk of mental disorders. Methods 159 adolescents from the East-Flanders Prospective Twin Study cohort participated in the study. At baseline, their momentary affect states were assessed using the Experience Sampling Method (ESM). The course of psychopathology was operationalized as the change in the Symptom Checklist-90 sum score after 1 year. Two groups were defined: one with a stable level (n = 81) and one with an increasing level (n = 78) of SCL-symptom severity. Group-level network dynamics of momentary positive and negative affect states were compared between groups. Results The group with increasing symptoms showed a stronger connections between negative affect states and their higher influence on positive states, as well as higher proneness to form ‘vicious cycles’, compared to the stable group. Based on permutation tests, these differences were not statistically significant. Conclusion Although not statistically significant, some qualitative differences were observed between the networks of the two groups. More studies are needed to determine the value of momentary affect networks for predicting the course of psychopathology.

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Association of Affect and Gait Performance in Dual-Task Walking in Non-Demented Older Adults

Innovation in Aging ◽

10.1093/geroni/igaa057.920 ◽

2020 ◽

Vol 4 (Supplement_1) ◽

pp. 287-287

Author(s):

Deepan Guharajan ◽

Roee Holtzer

Keyword(s):

Older Adults ◽

Negative Affect ◽

Positive Affect ◽

Dual Task ◽

Task Demands ◽

Gait Velocity ◽

Positive And Negative Affect ◽

Increased Risk ◽

Aging Populations ◽

Task Conditions

Abstract Aging populations are at increased risk to experience mobility disability, which is associated with falls, frailty, and mortality. Previous studies have not examined the concurrent associations of both positive and negative affect with gait velocity. We examined whether individual differences in positive and negative affect predicted dual-task performance decrements in velocity in a dual-task (DT) paradigm in non-demented older adults. We hypothesize that positive affect would be associated with lower DT costs, and negative affect would be associated with higher DT costs. Participants (N = 403; mean age, = 76.22 (6.55); females = 56%) completed the Positive and Negative Affect Schedule (PANAS) and a DT paradigm that involved three task conditions: Single-Task-Walk (STW), Alpha (cognitive interference requiring participants to recite alternate letters of the alphabet), and Dual-Task-Walk (DTW) requiring participant to perform the two single tasks concurrently. Gait velocity was assessed via an instrumented walkway. As expected, results of a linear mixed effects model (LME) showed a significant decline in gait velocity (cm/s) from STW to DTW (estimate = -11.79; 95%CI = -12.82 to -10.77). LME results further revealed that negative affect was associated with greater decline in gait velocity from STW to DTW (ie., worse DT cost) (estimate = -0.38; 95%CI = -0.73 to -0.03). Positive affect did not, however, predict DT costs in gait velocity (estimate = -0.09; 95%CI = -0.23 to 0.05). These findings suggest that increased negative affect interferes with the allocation of attentional resources to competing task demands inherent in the DT paradigm.

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Attenuation of positive and negative affect in men and women at increased risk for hypertension: A function of endogenous barostimulation?

Psychophysiology ◽

10.1111/j.1469-8986.2008.00757.x ◽

2009 ◽

Vol 46 (1) ◽

pp. 114-121 ◽

Cited By ~ 10

Author(s):

Daniel Z. Wilkinson ◽

Christopher R. France

Keyword(s):

Negative Affect ◽

Positive And Negative Affect ◽

Men And Women ◽

Increased Risk

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Disentangling dynamic affect trajectories for distinct depression courses during the COVID-19 pandemic

10.31234/osf.io/hv4cb ◽

2021 ◽

Author(s):

Gabriela Lunansky ◽

Ria H. A. Hoekstra ◽

Tessa Blanken

Keyword(s):

Negative Affect ◽

Positive Affect ◽

Network Models ◽

Well Being ◽

Positive And Negative Affect ◽

Single Measurement ◽

Daily Lives ◽

Boston College ◽

Measurement Moment ◽

Affect States

Background. Why does adversity lead to mental health complaints in some, but not others? Individual differences in the development of depressive complaints are related to the regulation of affect states. The COVID-19 pandemic has caused a prolonged period of perturbations to the daily lives of people across the globe, providing an unparalleled opportunity to investigate how fluctuations in positive and negative affect relate to the evolution of mood complaints.Methods. 228 participants from the Boston College daily sleep and well-being survey completed at least 20 assessments of positive and negative affect and depression complaints between March 20th 2020 and June 26th 2020. We explored affect trajectories throughout this period and estimated longitudinal multilevel network models. Furthermore, we investigated how individual network structures relate to changes in depression severity over time.Results. On average, positive affect was reported somewhat higher than negative affect. However, when separating affect trajectories based on the individuals’ depressive complaints, we identified that individuals consistently experiencing depressive complaints report higher levels of negative affect compared with positive affect. Contrary, individuals consistently reporting no depressive complaints show opposite results. Furthermore, we found many and strong associations in the multilevel network between the distinct affect states and depressive complaints. Lastly, we established that the higher the connectivity of an individual’s network, the larger their change in depressive complaints is.Conclusions. We conclude that affect fluctuations are directly related to the development of depressive complaints, both within- and across individuals, and both within a single measurement moment and over time.

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Network dynamics of positive and negative affect in bipolar disorder

Journal of Affective Disorders ◽

10.1016/j.jad.2019.02.017 ◽

2019 ◽

Vol 249 ◽

pp. 270-277 ◽

Cited By ~ 3

Author(s):

Joshua Curtiss ◽

Daniel Fulford ◽

Stefan G. Hofmann ◽

Anda Gershon

Keyword(s):

Bipolar Disorder ◽

Negative Affect ◽

Network Dynamics ◽

Positive And Negative Affect

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Trajectories of Haemoglobin and incident stroke risk: a longitudinal cohort study

BMC Public Health ◽

10.1186/s12889-019-7752-7 ◽

2019 ◽

Vol 19 (1) ◽

Cited By ~ 1

Author(s):

Alimu Dayimu ◽

Wendi Qian ◽

Bingbing Fan ◽

Chunxia Wang ◽

Jiangbing Li ◽

...

Keyword(s):

Cohort Study ◽

Latent Class ◽

Longitudinal Cohort Study ◽

Study Cohort ◽

Stable Group ◽

Stroke Incidence ◽

Longitudinal Cohort ◽

Increased Risk ◽

Baseline Covariates

Abstract Background Studies have demonstrated that high or low haemoglobin increases the risk of stroke. Previous studies, however, performed only a limited number of haemoglobin measurements, while there are dynamic haemoglobin changes over the course of a lifetime. This longitudinal cohort study aimed to classify the long-term trajectory of haemoglobin and examine its association with stroke incidence. Methods The cohort consisted of 11,431 participants (6549 men) aged 20 to 50 years whose haemoglobin was repeatedly measured 3–9 times during 2004–2015. A latent class growth mixture model (LCGMM) was used to classify the long-term trajectory of haemoglobin concentrations, and hazard ratios (HRs) and 95% confidence intervals (95% CI) according to the Cox proportional hazard model were used to investigate the association of haemoglobin trajectory types with the risk of stroke. Results Three distinct trajectory types, high-stable (n = 5395), normal-stable (n = 5310), and decreasing (n = 726), were identified, with stroke incidence rates of 2.7, 1.9 and 3.2 per 1000 person-years, respectively. Compared to the normal-stable group, after adjusting for the baseline covariates, the decreasing group had a 2.94-fold (95% CI 1.22 to 7.06) increased risk of developing stroke. Strong evidence was observed in men, with an HR (95% CI) of 4.12 (1.50, 11.28), but not in women (HR = 1.66, 95% CI 0.34, 8.19). Individuals in the high-stable group had increased values of baseline covariates, but the adjusted HR (95% CI), at 1.23 (0.77, 1.97), was not significant for the study cohort or for men and women separately. Conclusions This study revealed that a decreasing haemoglobin trajectory was associated with an increased risk of stroke in men. These findings suggest that long-term decreasing haemoglobin levels might increase the risk of stroke.

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The Factor Structure and Measurement Invariance of Positive and Negative Affect

European Journal of Psychological Assessment ◽

10.1027/1015-5759/a000252 ◽

2016 ◽

Vol 32 (4) ◽

pp. 265-272 ◽

Cited By ~ 10

Author(s):

Mohsen Joshanloo ◽

Ali Bakhshi

Keyword(s):

Negative Affect ◽

Measurement Invariance ◽

Factor Structure ◽

Factor Model ◽

Positive And Negative Affect ◽

Cultural Groups ◽

Invariance Testing ◽

The Usa ◽

Scalar Invariance ◽

Gender Groups

Abstract. This study investigated the factor structure and measurement invariance of the Mroczek and Kolarz’s scales of positive and negative affect in Iran (N = 2,391) and the USA (N = 2,154), and across gender groups. The two-factor model of affect was supported across the groups. The results of measurement invariance testing confirmed full metric and partial scalar invariance of the scales across cultural groups, and full metric and full scalar invariance across gender groups. The results of latent mean analysis revealed that Iranians scored lower on positive affect and higher on negative affect than Americans. The analyses also showed that American men scored significantly lower than American women on negative affect. The significance and implications of the results are discussed.

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