A Network Analysis Approach to Understanding the Relationship Between Childhood Trauma and Wellbeing Later in Life.

Though childhood maltreatment negatively affects later in life functioning, current interventions do little to mitigate this impact. This ineffectiveness may be exacerbated by deficit-focused models which focus primarily on mental illness, ignoring other indicators of healthy functioning. This paper presents two studies that examine the relationships between childhood maltreatment and later in life functioning, including indicators of mental illness and mental health. In Study 1, network analysis was used as an exploratory tool to examine how childhood maltreatment relates to later in life wellbeing. Study 2 used a different sample of adults to provide a confirmatory test of the network obtained in Study 1 given remaining concerns about the replicability of networks from network analysis. Study 1 included a subset of participants from the Midlife Development in the United States Study 2 (MIDUS 2) Biomarker Project 4, 2004-2009. Study 2 included individuals from the MIDUS Refresher Biomarker Project 4, 2012-2016. Network comparison tests demonstrated that the networks generally replicated as they did not significantly vary in structure, global strength, or measures of strength centrality. In both studies, emotional forms of maltreatment (i.e., emotional abuse, emotional neglect) emerged as particularly influential in the networks. Childhood maltreatment impacts the ability to thrive in adulthood, beyond its impact on diagnosable mental illness, and also affects positive functioning. A stronger focus on emotional abuse and emotional neglect is warranted within maltreatment intervention and education initiatives, as is an emphasis on the impact of maltreatment on positive functioning in adulthood.

Optimal well-being in the aftermath of anxiety disorders: A 10-year longitudinal investigation.

BACKGROUND: Although preliminary research has explored the possibility of optimal well-being after depression, it is unclear how rates compare to anxiety. Using Generalized Anxiety Disorder (GAD) and Panic Disorder (PD) as exemplars of anxiety, we tested the rates of optimal well-being one decade after being diagnosed with an anxiety disorder. Based on reward deficits in depression, we pre-registered our primary hypothesis that optimal well-being would be more prevalent after anxiety than depression as well as tested two exploratory hypotheses. METHOD: We used data from the Midlife in the United States (MIDUS) study, which contains a nationally representative sample across two waves, 10 years apart. To reach optimal well-being, participants needed to have no symptoms of GAD, PD, or major depressive disorder (MDD) at the 10 year follow-up and exceed cut-offs across nine dimensions of well-being. RESULTS: The results failed to support our primary hypothesis. Follow-up optimal well-being rates were highest for adults previously diagnosed with MDD (8.7%), then PD (6.1%), and finally GAD (0%). Exploratory analyses revealed optimal well-being was approximately twice as prevalent in people without anxiety or depression at baseline and provided partial support for baseline well-being predicting optimal well-being after anxiety. Results were largely replicated across different classifications of optimal well-being. LIMITATIONS: Findings are limited by the somewhat unique measurement of anxiety in the MIDUS sample as well as the relatively high rate of missing data. CONCLUSIONS: We discuss possible explanations for less prevalent optimal well-being after anxiety vs. depression and the long-term positivity deficits from GAD.

Bidirectional Associations between Physical Activity and Sleep in Early-Elementary-Age Latino Children with Obesity.

Low-income Latino children are at high risk for obesity and associated comorbidities. Considering the health benefits of proper sleep habits and physical activity, understanding the patterns, or the relationship between these modifiable factors may help guide intervention strategies to improve overall health in this population. Thus, the purpose was to investigate bidirectional associations between physical activity and sleep among Latino children who are overweight/obese. Twenty-three children (boys, 70%; overweight, 17%; obese, 83%) (age 7.9 ± 1.4 years) wore activity monitors on their wrist for 6 consecutive days (comprising 138 total observations). Hierarchical linear modeling evaluated temporal associations between physical activity (light physical activity, LPA; moderate to vigorous activity, MVPA) and sleep (duration and efficiency). Although there was no association between MVPA and sleep (p > 0.05), daytime LPA was negatively associated with sleep duration that night (estimate ± SE = -10.77 ± 5.26; p = 0.04), and nighttime sleep efficiency was positively associated with LPA the next day (estimate ± SE = 13.29 ± 6.16; p = 0.03). In conclusion, increased LPA may decrease sleep duration that night, but increasing sleep efficiency may increase LPA the following day. Although further investigation is required, these results suggest that improving sleep efficiency may increase the level of physical activity reached among Latino children who are overweight/obese.

Do people with elevated social anxiety respond differently to digital and face-to-face communications? Two daily diary studies with null effects.

BACKGROUND: Retrospective studies have found that people with elevated social anxiety (SA) show a preference for digital/online communication, which may be due to perceptions of enhanced emotional safety. Whether these individuals prefer digital compared to face-to-face communication and experience emotional benefits naturalistically remains unclear. METHODS: We recruited college students (N = 125) and community adults (N = 303) with varying levels of SA and sampled their emotions during digital and face-to-face communication using ecological momentary assessment (EMA) (Study 1) and a day reconstruction method (DRM) (Study 2). We preregistered our hypotheses (https://osf.io/e4y7x/). RESULTS: Results from both studies showed that SA did not predict the likelihood of engaging in digital compared to face-to-face communication, and SA was associated with less positive and more negative emotions regardless of the communication medium. Study 2 showed that whether digital communication was synchronous (e.g., in real time via phone/video chat) or asynchronous (e.g., texting/instant messaging) did not impact the association between SA and emotions. LIMITATIONS: EMA and DRM methods, despite their many advantages, may be suboptimal for assessing the occurrence of digital communication behaviors relative to more objective methods (e.g., passively collecting smartphone communication data). Using event-contingent responding may have also yielded more reports of digital communication, thus strengthening our power to detect small, cross-level interaction effects. CONCLUSIONS: These results challenge beliefs that digital/online communication provides a source of emotional safety for people with elevated SA and suggests a greater need to address SA-related emotional impairments across digital communication platforms.