The interpersonal benefits of goal adjustment capacities: the sample case of coping with poor sleep in couples.

Introduction: This study examined the role of goal adjustment capacities and coping in the association between spousal sleep efficiency and relationship satisfaction in romantic couples. Method: A community lifespan sample of 113 heterosexual couples (age range = 21-82 years) was recruited using newspaper advertisements in the Greater Montreal Area from June 2011 to December 2012. Participants completed study measures (i.e., Goal Adjustment Scale, Brief Pittsburgh Sleep Quality Index, Relationship Assessment Scale, and the Brief Cope) at two time points, ~1 year apart. Results: The results of actor-partner interdependence models with moderation (MIXED procedure in SPSS) reveal that goal disengagement buffered people from worsening relationship satisfaction associated with poor spousal sleep [95% CI B (-1.17, -0.12)], in part via increases in actor active coping [95% CI B (-0.32, -0.02)] and decreases in partner self-blame [95% CI B (-0.28, -0.01)]. Goal reengagement was related to diminished relationship satisfaction in response to poor own sleep [95% CI B (0.59, 1.79)], in part through increases in actor behavioral disengagement [95% CI B (0.05, 0.41)]. Discussion: These findings point to a need for future studies to examine goal adjustment capacities and relationship-specific coping strategies as potential targets of intervention to maintain peoples' relationship satisfaction in the face of sleep problems.

When daily emotions spill into life satisfaction: Age differences in emotion globalizing.

Although the objective conditions of people's lives are fairly stable from day to day, daily life can feel like an emotional rollercoaster. For some people, life satisfaction hitches a ride on the emotional rollercoaster (i.e., momentary emotions spill over into broader evaluations of life). The extent to which positive and negative emotions spill over into life satisfaction is referred to as positive and negative emotion globalizing. Initial evidence suggests that emotion globalizing varies between individuals and is linked to a maladaptive psychological profile. Integrating a lifespan perspective, this is the first study to identify and describe age differences in emotion globalizing using data from two adult community samples (Study 1: N = 133 women, age range = 23-78; Study 2: N = 137, age range = 18-95). Further, we tested key boundary conditions of emotion globalizing by examining two types of emotions (i.e., current or after most stressful event of the day) and two types of satisfaction (i.e., overall life satisfaction [life satisfaction] or current day satisfaction [day satisfaction]). Specifically, we investigated how younger and older adults differed in the associations of current emotions with life satisfaction (i.e., emotion globalizing; Study 1), stressor-related emotions with life satisfaction (i.e., stressor-related emotion globalizing; Study 1), and stressor-related emotions with day satisfaction (Study 2). Results revealed that older (compared to younger) adults exhibited less negative (but not positive) emotion globalizing and stressor-related emotion globalizing. We found no age differences in the association between stressor-related emotions and day satisfaction. These findings extend insights into emotion globalizing and inform theories of emotional aging. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Examining intra- and inter-personal health effects of optimism and pessimism: The role of subjective well-being in romantic couples.

INTRODUCTION: Recent meta-analytic research suggests that the absence of pessimism could be a stronger predictor of physical health than the presence of optimism. The present study examined the role of subjective well-being in the effects of optimism and pessimism on physical health in romantic couples. It was hypothesized that pessimism would be more strongly associated with both well-being and health than optimism, intra- and interpersonally. Subjective well-being was also expected to explain variance in the associations between optimism, pessimism, and health. METHODS: A baseline sample of 153 opposite-sex couples completed various measures of subjective well-being (e.g., life satisfaction, positive and negative affect, and depressive symptoms) and physical health (e.g., subjective health, sleep efficiency, physical symptoms, cold symptoms, and chronic illness). RESULTS: Results of actor-partner interdependence models showed that the absence of pessimism, but not the presence of optimism, was associated with better physical health at baseline and over time. Pessimism was also a stronger predictor than optimism of baseline levels in some indicators of subjective well-being. These effects were obtained intra- and interpersonally. Finally, subjective well-being explained variance in some of the effects of pessimism on levels of physical health. Implications for theory, research, and practice are discussed.

Goal adjustment capacities in uncontrollable life circumstances: Benefits for psychological well-being during COVID-19.

Goal adjustment capacities (i.e., goal disengagement and goal reengagement) are core self-regulatory resources theorized to buffer psychological well-being during intractable life circumstances. However, research has yet to examine whether these capacities protect well-being for individuals who encounter uncontrollable losses in their ability to pursue important life goals due to the COVID-19 pandemic. Using a nationally-representative sample of U.S. adults aged 18-80 (n = 292), the present longitudinal study examined the extent to which goal disengagement and reengagement predicted levels and change in psychological well-being for individuals who differed in perceived control over their goals early in the pandemic. Results from multilevel growth models showed that goal reengagement, but not goal disengagement, capacities predicted higher levels of well-being during the pandemic (lower perceived stress, depressive symptoms; higher life satisfaction, meaning in life). Moderation models showed the benefits of goal reengagement for well-being were pronounced among individuals who perceived pandemic-induced declines in control over their goals. Findings inform theories of motivation and self-regulation and point to the adaptive value of goal reengagement capacities during uncontrollable life circumstances.

Discrete negative emotions and goal disengagement in older adulthood: Context effects and associations with emotional well-being.

This study examined whether sadness, but not anger, could facilitate adaptive goal disengagement capacity in the context of older adult's stress-related experiences. To this end, we investigated whether the within-person effects of sadness and anger on older adults' goal disengagement capacity were moderated by stress perceptions and diurnal cortisol levels. In addition, we tested whether an association between sadness and goal disengagement capacity could protect emotional well-being when older adults experience higher than normal perceived stress or cortisol. The study used data from a 6-wave 10-year longitudinal study of 184 community-dwelling older adults (Mage = 72.08, SDage = 5.70). Participants' sadness, anger, goal disengagement capacity, perceived stress, diurnal cortisol levels, emotional well-being (i.e., positive and negative affect), and sociodemographic variables were assessed at each wave. Hierarchical linear modeling showed that within-person increases in sadness, but not anger, predicted increased goal disengagement capacity among older adults who generally secreted high levels of cortisol. Moreover, older adults' who disengaged more easily when they felt sad were protected from declines in positive affect during assessments in which they secreted high, but not low, levels of cortisol. The study's findings suggest that generally enhanced cortisol output may facilitate an association between sadness and older adults' goal disengagement capacity and that this process may protect against declines in emotional well-being. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

A tale of two emotions: The diverging salience and health consequences of calmness and excitement in old age.

Although the benefits of positive affect in old age have been well established, little is known about the late-life salience or adaptive value of discrete positive emotions that have contrasting motivational functions. In two studies, we examined the prevalence and health consequences of individual differences in positive emotions posited to motivate a present-focused mindset that fosters rest and recovery (calmness) or a future-focused mindset that motivates pursuit of novelty and stimulation (excitement). Study 1 was based on a 1-week daily diary study (n = 146) that assessed the salience of these discrete emotions in older adults (M age = 75, SD = 6.82) relative to younger adults (M age = 23, SD = 3.91). Results from multilevel models showed that older adults experienced higher average levels of calmness and lower levels of excitement in comparison to younger adults. Study 2 was based on a 10-year study (n = 336, M age = 75, SD = 6.64) and examined the longitudinal health consequences of individual differences in calmness and excitement for older adults who perceived varying levels of control over their life circumstances. Results from multilevel growth models showed that calmness, but not excitement, buffered against longitudinal declines in psychological well-being (perceived stress, depressive symptoms) and physical health (physical symptoms, chronic conditions) for older adults experiencing low control circumstances. Findings inform theories of emotional aging in showing that positive emotions with disparate motivational functions become more or less salient with age and have diverging consequences for health in late life. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

It remains meaningful to distinguish optimism from pessimism: Reply to VanderWeele and Kubzansky (2021).

VanderWeele and Kubzansky (2021) provide a commentary on Scheier et al. (2021), in which they introduce the distinction between what they term comparative and absolute optimism. We believe that more conceptual and empirical work is needed before a full understanding of the meaning and implications of the terms can be known. In contrast, the construal of optimism and pessimism as separate but related dimensions is founded on decades of research. Moreover, as shown in Scheier et al. (2021), the absence of pessimism is a better predictor of physical health outcomes than is the presence of optimism, which in turn has implications for how interventions might be devised. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Optimism versus pessimism as predictors of physical health: A comprehensive reanalysis of dispositional optimism research.

Prior research has related dispositional optimism to physical health. Traditionally, dispositional optimism is treated as a bipolar construct, anchored at one end by optimism and the other by pessimism. Optimism and pessimism, however, may not be diametrically opposed, but rather may reflect 2 independent, but related dimensions. This article reports a reanalysis of data from previously published studies on dispositional optimism. The reanalysis was designed to evaluate whether the presence of optimism or the absence of pessimism predicted positive physical health more strongly. Relevant literatures were screened for studies relating dispositional optimism to physical health. Authors of relevant studies were asked to join a consortium, the purpose of which was to reanalyze previously published data sets separating optimism and pessimism into distinguishable components. Ultimately, data were received from 61 separate samples (N = 221,133). Meta-analytic analysis of data in which optimism and pessimism were combined into an overall index (the typical procedure) revealed a significant positive association with an aggregated measure of physical health outcomes (r = .026, p < .001), as did meta-analytic analyses with the absence of pessimism (r = .029, p < .001) and the presence of optimism (r = .011, p < .018) separately. The effect size for pessimism was significantly larger than the effect size for optimism (Z = -2.403, p < .02). Thus, the absence of pessimism was more strongly related to positive health outcomes than was the presence of optimism. Implications of the findings for future research and clinical interventions are discussed. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Goal adjustment capacities and quality of life: A meta-analytic review.

OBJECTIVES: This meta-analysis quantified associations between goal disengagement and goal reengagement capacities with individuals' quality of life (i.e., well-being and health). METHODS: Effect sizes (Fisher's Z'; N = 421) from 31 samples were coded on several characteristics (e.g., goal adjustment capacity, quality of life type/subtype, age, and depression risk status) and analyzed using meta-analytic random effects models. RESULTS: Goal disengagement (r = 0.08, p < 0.01) and goal reengagement (r = 0.19, p < 0.01) were associated with greater quality of life. While goal disengagement more strongly predicted negative (r = -0.12, p < 0.01) versus positive (r = 0.02, p = 0.37) indicators of well-being, goal reengagement was similarly associated with both (positive: r = 0.24, p < 0.01; negative: r = -0.17, p < 0.01). Finally, the association between goal disengagement and lower depressive symptoms (r = -0.11, p < 0.01) was reversed in samples at-risk for depression (r = 0.08, p = 0.01), and goal disengagement more strongly predicted quality of life in older samples (B = 0.003, p < 0.01). CONCLUSIONS: These findings support theory on the self-regulatory functions of individuals' capacities to adjust to unattainable goals, document their distinct benefits, and identify key moderating factors.

Is anger, but not sadness, associated with chronic inflammation and illness in older adulthood?

The discrete emotion theory of affective aging postulates that anger, but not sadness, becomes increasingly maladaptive during older adulthood in predicting health-relevant physiological processes and chronic disease (Kunzmann & Wrosch, 2018). However, it is largely unknown whether different negative emotions have distinct functional consequences in the development of older adults' physical disease. To start examining this possibility, we investigated whether older adults' daily experiences of anger and sadness were differentially associated with two biomarkers of chronic low-grade inflammation (interleukin-6 [IL-6] and C-reactive protein [CRP]) and the number of chronic illnesses (e.g., heart disease, cancer, etc.). In addition, we examined whether such divergent associations would become paramount in advanced, as compared with early, old age. A community-dwelling study of 226 older adults (age 59 to 93; M = 74.99, SD = 7.70) assessed participants' anger and sadness over 1 week, inflammatory processes, number of chronic illnesses, and relevant covariates. Regression analysis showed that anger predicted higher levels of IL-6 and chronic illness in advanced, but not in early, old age. The age effect of anger on chronic illness was mediated by increased IL-6 levels. Sadness exerted a reversed, but nonsignificant, association with IL-6 and chronic illness, independent of age. No emotion or age effects were obtained for CRP. The study's findings inform theories of health, emotion, and life span development by pointing to the age-related importance of discrete negative emotions in predicting a major physiological pathway to physical health across older adulthood. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Age-related changes in older adults' anger and sadness: The role of perceived control.

This longitudinal study examined the experience of sadness and anger in a sample of older adults. Based on the discrete emotion theory of affective aging, it was expected that sadness, but not anger, would increase in older adulthood over time. In addition, we hypothesized that inter- and intraindividual differences in low perceptions of control would be more strongly associated with sadness than anger. The 10-year study followed 187 community-dwelling older adults (Mage = 72.25, SDage = 5.81). At each of six waves, participants' levels of sadness, anger, perceived control, and sociodemographic characteristics were assessed. Hierarchical linear modeling demonstrated that sadness, but not anger, linearly increased over time. These increases in sadness were evident only among older adults who reported low (but not high) levels of perceived control across the study period, and who experienced longitudinal declines (but not increases) in perceived control. In addition, nonlinear within-person reductions in perceived control predicted participants' sadness in the entire sample, but were associated with anger only in early, and not in advanced, old age. These findings support the discrete emotion theory of affective aging by documenting the distinctiveness of older adults' anger and sadness. These two negative emotions differ in terms of both age-related changes and predictive person-related perceptions of control. (PsycINFO Database Record

Chronic illness and loneliness in older adulthood: The role of self-protective control strategies.

OBJECTIVES: This study examined whether levels of chronic illness predict enhanced feelings of loneliness in older adulthood. In addition, it investigated whether engagement in health-related self-protection (e.g., positive reappraisals), but not in health engagement control strategies (e.g., investment of time and effort), would buffer the adverse effect of chronic illness on older adults' feelings of loneliness. METHOD: Loneliness was examined repeatedly in 2-year intervals over 8 years in a longitudinal study of 121 community-dwelling older adults (Time 1 age = 64 to 83 years). In addition, levels of chronic illness, health-related control strategies, and sociodemographic variables were assessed at baseline. RESULTS: Growth-curve models showed that loneliness linearly increased over time and that this effect was observed only among participants who reported high, but not low, baseline levels of chronic illness. In addition, health-related self-protection, but not health engagement control strategies, buffered the adverse effect of chronic illness on increases in loneliness. CONCLUSIONS: Loneliness increases in older adulthood as a function of chronic illness. Older adults who engage in self-protective strategies to cope with their health threats might be protected from experiencing this adverse effect.