Purpose in life predicts both health and longevity suggesting that the ability to find meaning from life’s experiences, especially when confronting life’s challenges, may be a mechanism underlying resilience. Having purpose in life may motivate reframing stressful situations to deal with them more productively, thereby facilitating recovery from stress and trauma. In turn, enhanced ability to recover from negative events may allow a person to achieve or maintain a feeling of greater purpose in life over time. In a large sample of adults (aged 36-84 years) from the MIDUS study (Midlife in the U.S., http://www.midus.wisc.edu/), we tested whether purpose in life was associated with better emotional recovery following exposure to negative picture stimuli indexed by the magnitude of the eyeblink startle reflex (EBR), a measure sensitive to emotional state. We differentiated between initial emotional reactivity (during stimulus presentation) and emotional recovery (occurring after stimulus offset). Greater purpose in life, assessed over two years prior, predicted better recovery from negative stimuli indexed by a smaller eyeblink after negative pictures offset, even after controlling for initial reactivity to the stimuli during the picture presentation, gender, age, trait affect, and other well-being dimensions. These data suggest a proximal mechanism by which purpose in life may afford protection from negative events and confer resilience is through enhanced automatic emotion regulation after negative emotional provocation.
Citation: Schaefer SM, Morozink Boylan J, van Reekum CM, Lapate RC, Norris CJ, Ryff CD, et al. (2013) Purpose in Life Predicts Better Emotional Recovery from Negative Stimuli. PLoS ONE 8(11): e80329. doi:10.1371/journal.pone.0080329
Editor: Kevin Paterson, University of Leicester, United Kingdom
Received: May 8, 2013; Accepted: October 2, 2013; Published: November 13, 2013
Copyright: © 2013 Schaefer et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This research was supported by the National Institute on Aging (PO1-AG020166), the National Institute on Mental Health (R01 MH043454), and the Waisman Intellectual and Developmental Disabilities Research Center (Waisman IDDRC), P30HD03352. J. Morozink Boylan was supported by the National Institute of Mental Health (T32MH018931-22). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute of Mental Health or the National Institutes of Health. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Growing evidence from epidemiological research suggests that self-reported psychological well-being is important for both health and longevity, potentially through mechanisms promoting resilience in the face of adversity (see ,  for recent theoretical reviews). Ryff defined psychological well-being in terms of six key dimensions: autonomy (capacity for self-determination), environmental mastery (ability to manage one’s surrounding world), personal growth (realization of potential), positive relations with others (high-quality relationships), purpose in life (meaning and direction in life), and self-acceptance (positive self-regard) , . Higher levels of purpose in life, personal growth, and positive relations have been linked to lower cardiovascular risk (lower glycosylated hemoglobin, lower weight, lower waist-hip ratios, and higher “good” cholesterol (high-density lipoprotein (HDL)) as well as better neuroendocrine regulation (lower salivary cortisol throughout the day) . Higher profiles on purpose in life and positive relations with others have also been linked to lower inflammatory factors: interleukin-6 (IL-6) and its soluble receptor (sIL-64) , providing empirical support linking these well-being dimensions to better health profiles.
Recent evidence suggests that relative to other dimensions of well-being, purpose in life appears to be particularly important in predicting future health and mortality. In a prospective, longitudinal, epidemiological study of community-dwelling older persons without dementia (Rush Memory and Aging Project), greater purpose in life was associated with better ability to perform day-to-day activities and less mobility disability in the future . Those who reported greater purpose in life exhibited better cognition at follow-up, had a reduced risk of mild cognitive impairment, and a slower rate of cognitive decline . In fact, people who reported high levels of purpose in life (90th percentile or higher) were 2.4 times more likely to remain free of Alzheimer Disease than people who reported low levels (10th percentile or lower). Moreover, on postmortem examination of the brain for Alzheimer Disease-related pathology, purpose in life modified the associations between cognition and both global pathologic change and plaque accumulation , suggesting that having greater purpose in life may protect against the detrimental effects of aging-related changes in the brain that have been linked to Alzheimer Disease. Finally, greater purpose in life was associated with a reduced risk of mortality from all causes . Collectively, these findings suggest that the ability to find meaning and direction in life may help buffer or slow the effects of aging and even the ultimate outcome: death.
Besides healthier biomarker levels, slowed effects of aging, and increased longevity, higher levels of psychological well-being have also been associated with lower rates of depression , , , with the dimension of purpose in life consistently showing negative relations with depressive symptomatology. In fact, people in their 50s who report low psychological well-being are more than twice as likely to suffer from depression when in their 60s, even after controlling for previous depression history, personality, demographic, economic, and physical health variables , suggesting that low well-being is a substantial risk factor for future depression. Depression is characterized by high levels of brooding, and often is associated with a ruminative thinking style, and attentional biases suggesting impaired attentional disengagement from negative information (see ,  for review), which may contribute to the prolonged responses to negative emotional stimuli that have been observed both in psychophysiological and neuroimaging measures, such as prolonged pupil dilations and amygdala activation –. The link between low psychological well-being and the dysregulated emotion observed in depression is further supported by findings from the neuroimaging literature: those reporting higher levels of purpose in life show better regulation of the amygdala (a brain region involved in fear and anxiety-related processes) by the ventral anterior cingulate cortex, such that activity in the amygdala is reduced and the ventral anterior cingulate cortex is activated to a greater extent for negative relative to neutral pictures . Moreover, high purpose in life was associated with slower judgments of the valence of negative relative to neutral pictures, suggesting that persons having goals and a sense of direction in life appraised the negative pictures as less salient and potentially less threatening than did persons with lower levels of purpose in life. Finally, whereas depressive symptomatology has been linked to decreased gray matter volume in the insula , purpose in life (as well as the other well-being dimensions of personal growth and positive relations with others) are positively associated with right insular gray matter volume .
How might purpose in life protect against depression, the body and brain ravages of growing older, and the accumulated toll of stress and challenges over the years? Based on the accumulating evidence, we hypothesize that one mechanism through which high purpose in life may protect against depression and the wear and tear of life stress is by providing a buffer from negative events, promoting reappraisal and motivated coping processes, decreasing brooding and ruminative thinking styles, supporting faster and better recovery, and thus increasing resiliency. Therefore, we hypothesize that higher levels of self-reported purpose in life will be associated with laboratory measures of emotional recovery, specifically, better automatic regulation of negative emotion as exhibited by better recovery from negative emotional stimuli. Importantly, this hypothesis combines phenomenologically-experienced aspects of well-being with objectively measured laboratory assessments of the time course of emotional responses, as this combination may offer unique windows on adaptive human functioning.
Heterogeneity is the rule in emotion research, characterized by large individual differences in how people react to the same emotional event or stimulus, and in how quickly and easily they recover from that stimulus (see Figure 1 for a hypothetical characterization of different emotional time course profiles to the same stimulus). While one person may briefly feel the effect of an unpleasant event, another may suffer a lingering and pervasive effect on mood. These individual differences in emotional reactivity and regulation constitute a person's affective style (see ,  for theoretical reviews), may be critically influenced by a person’s sense of life purpose, and may also shape how much purpose and meaning one feels, suggesting bi-directional influences between these constructs
Note that although subjects A and B have similar initial reactivity during the 4 s picture presentation period, after picture offset they differ in emotional recovery. Subject A shows a prolonged poor recovery, whereas Subject B recovers more rapidly. Subject C demonstrates greater initial reactivity with rapid recovery, whereas Subject D exemplifies an individual who may show smaller, blunted emotional reactivity but severely impaired recovery.
Affective psychophysiological research provides tools to measure an individual’s affective state without many of the demand characteristics biasing self-report (for review see , ), allowing for objective characterization of the time course of an individual’s emotional reactivity to and recovery from an emotion-eliciting stimulus . Eyeblink reflex magnitude (EBR) measured to an acoustic startle probe from the orbicularis oculi muscle is emotion-modulated, such that activity is potentiated in the presence of an aversive stimulus and is diminished in the presence of a pleasant stimulus , . Just as facial musculature recordings reflect a person’s affective state and their emotional response to stimuli, the temporal resolution possible with the EBR allows for differentiation of aspects of the emotional response from regulation of that response , , , providing objective estimates of both the magnitude and time course of emotional responses during and following incentives and challenges.
In the current paradigm, EBR measurements were obtained during the picture presentation period and after picture offset. We define emotional reactivity as reflected in measurements during the affective picture presentation when the emotionally evocative stimulus is present, and emotional recovery as measurements obtained after picture offset when the stimulus is no longer present. Parsing the time course in this way allows us to investigate individual differences in both reactivity and recovery. By including both the measures of reactivity and recovery in the same analytic models, we can examine individual differences in our measures during the recovery period unconfounded by variations in reactivity. Referring back to Figure 1, imagine two people who show similar reactions to the negative stimulus when it is present. One person’s regulatory capacities may facilitate quick recovery from a negative stimulus after it is removed (hypothetical subject B), while another may perseverate and show delayed recovery (hypothetical subject A), such as that observed in depression and dysphoria , , . In this way, we can investigate the differential relationships between emotional reactivity and recovery with higher levels of purpose in life. We predicted that those subjects who reported higher levels of purpose in life would exhibit greater emotional recovery from the negative pictures, controlling for their initial reactivity to these pictures, thereby indicating a more adaptive emotion regulatory profile.
Ethical approval for telephone and mail surveys was obtained from the Social and Behavioral Science Institutional Review Board at the University of Wisconsin – Madison. All participants gave verbal consent, which included assurance of voluntary participation and confidentiality of data. The ethics committee approved the waiver of written consent. Such passive consent is customary for survey research by telephone and mail questionnaire. Ethical approval for the follow-up psychophysiological session was obtained from the Health Sciences Institutional Review Board at the University of Wisconsin – Madison and all participants provided written consent.
The Survey of Midlife Development in the United States (MIDUS) began in 1995 with a national sample of Americans (N = 7,108) aged 25–74 years . The majority (59.71%) was recruited through random digit dialing (RDD). The remaining respondents included siblings of the RDD sample and a large sample of twins (N = 1,914). Data collection focused on sociodemographic and psychosocial assessments obtained through phone interviews and self-administered questionnaires. In 2004, these survey assessments were repeated (MIDUS II). The retention rate from MIDUS I to MIDUS II was 75% (adjusted for mortality).
Psychophysiological data were collected on a subset of MIDUS II participants living in the Midwest who were able and willing to travel to our laboratory. The psychophysiology experiment followed the survey assessment on average over two years later (mean (SD) = 881 (26) days). A total of 331 (183 female) participants (age range 36–84 yrs, mean (SD) = 55.41 (11.12) yrs) agreed to participate in our experiment. For a variety of technical, responsivity, and other data quality issues, 253 (147 female/106 male; 185 singletons/68 twin or sibling) participants (age range 36–84 yrs, mean (SD) = 54.68 (10.97) yrs) are included because they completed the psychological well-being questionnaire in the survey assessment and provided a total of 10 or more quantifiable eyeblink responses to the startle probes during the psychophysiological paradigm.
Data and documentation for MIDUS I and II, including all MIDUS projects, are publically available at the Inter-university Consortium for Political and Social Research (ICPSR; www.icpsr.umich.edu/icpsrweb/landing.jsp).
Given the growing focus on purpose in life as a key predictor of long-term health outcomes and underlying neurophysiology, our hypotheses targeted this particular dimension of well-being, although we included examination of all six scales of well-being collected in the survey assessments in MIDUS II (Scales of Psychological Well-Being; , ). Purpose in life refers to the tendency to derive meaning from life’s experiences and possess a sense of intentionality and goal directedness that guides behavior. The other five dimensions of psychological well-being included autonomy, environmental mastery, personal growth, positive relations with others, and self-acceptance. Each scale had seven items (internal consistency for these scales ranged from.69 to.85).
Other variables used in the analyses included age at the psychophysiological session, gender, the total number of valid eyeblink responses to the startle probes over the course of the psychophysiology experiment, the lag between the survey and psychophysiological assessments in days, trait positive and negative affect measured with the Positive and Negative Affect Schedule (PANAS; ), and subjective well-being measures including the Satisfaction with Life Scale  and an abbreviated version of the Gratitude Scale  asking participants to rate the following two statements: “I have so much in life to be thankful for” and “I am grateful to a wide variety of people.” The affect and subjective well-being measures were collected at the time of the psychophysiology session.
A total of 90 International Affective Picture System pictures (IAPS; ) were presented in a randomized sequence. According to the IAPS normative ratings, 30 negative (mean (SD) = 2.89 (0.61)), 30 neutral (mean (SD) = 5.14 (0.52)) and 30 positive (mean (SD) = 7.24 (0.44)) pictures were selected, with the positive and negative pictures matched on arousal (negative pictures mean (SD) = 5.35 (0.54); neutral mean (SD) = 3.22 (0.73); positive mean (SD) = 5.23 (0.73)). All valences were matched on luminosity, complexity, and number of pictures with social content.
The psychophysiological procedures have been described previously (see  for additional details). After informed consent was obtained, the participant completed questionnaires. The participant watched the positive, neutral, and negative pictures, and heard acoustic startle probes (50 ms, 105 dB, white noise bursts with very rapid onset time) presented through headphones. Each picture had either a yellow or purple border around it during the first 500 ms of the picture presentation, and participants responded as quickly as possible to the color of the border by pressing one of two keyboard buttons marked with the color with either their index or middle finger of their dominant hand. This color border identification task was used to keep subjects’ attention on the task and ensure they looked at the pictures. Pictures were presented on the screen for 4 s and were preceded by a 1 s fixation screen (see Figure 2 for a schematic of the psychophysiological paradigm’s design). Acoustic startle probes were inserted at three time points (randomized across trials to maintain an average inter-probe interval of ~ 16 s). One probe occurred during the picture presentation (2900 ms following picture onset), a 2nd probe occurred 400 ms after picture offset (4400 ms following picture onset), and a 3rd probe occurred 1900 ms after picture offset (5900 ms following picture onset). A total of nine probes at each of the three time points were presented for each picture valence category, resulting in three non-probed trials for each picture valence. Because preliminary data analysis revealed reduced magnitude EBRs at the 2nd probe (across all valences), these data were dropped from all further analyses because it suggests the 2nd probe was affected by prepulse inhibition due to too close temporal proximity to the picture offset . Participants who did not respond with a perceptible EBR on 10 or more of the 81-probed trials were excluded from EBR analyses as they were considered non-responders to the startle probe.
30 positive, 30 negative, and 30 neutral pictures were displayed individually on separate trials. Participants responded as quickly as possible to the border color (purple or yellow) presented during the first 0.5 s of the picture presentation in order to maintain attention during the task. Startle probes were presented at 2900 ms after picture onset (assessing reactivity) and 1900 ms after picture offset (assessing recovery). Note: to avoid publication of an IAPS picture, the example negative picture was selected from the author’s personal collection to be representative of a prototypical IAPS picture. As the mother of the baby in the photograph, she has given written informed consent, as outlined in the PLOS consent form, to publication of their photograph.
Manipulation check. We used a linear mixed-effects model to test the expected valence (negative, neutral, positive) modulation effect, a main effect of probe time (reactivity, recovery), and a valence x probe time interaction on EBR magnitude. The model included a family-specific random effect to account for within-family dependence between twins and siblings, as well as a participant-within-family-specific random effect to account for the within-person dependence between EBR measurements. Pairwise comparisons between valences (negative, neutral, and positive) and probe times (reactivity, recovery) were adjusted for multiple comparisons using the Bonferroni correction.
Tests of purpose in life and the other psychological well-being dimensions predicting EBR measures of emotional reactivity and recovery to negative stimuli. First, zero-order correlations were calculated between purpose in life and the other five psychological well-being dimensions with EBR magnitude measures obtained (1) at the reactivity probe, (2) at the recovery probe, and (3) with a recovery residual reflecting EBR magnitude at the recovery probe regressed on EBR magnitude at the reactivity probe to remove variation due to differences in reactivity (EBR magnitude at the reactivity probe and the recovery probe are inversely correlated, r = –0.15, p = 0.02).
Because age and gender have previously been shown to influence measures of emotional reactivity and recovery , , linear mixed-effects models were used to test the ability of each of the psychological well-being dimensions to predict EBR magnitude at the reactivity probe as well as EBR magnitude at the recovery probe on negative trials, while controlling for EBR magnitude at the reactivity probe (only included in the recovery models), age, gender, the total number of valid eyeblink responses to the startle probe over the course of the psychophysiology experiment, and the lag between the survey and psychophysiological assessments in days (A Models). The total number of valid eyeblinks was included as a covariate so that the results were not confounded with the reliability of the estimated EBR magnitude. Then to ascertain the specificity of purpose in life’s ability to predict recovery, we added the other five psychological well-being dimensions, both trait positive and negative affect (PANAS: mean positive affect and mean negative affect) and subjective well-being measures (Satisfaction with Life Scale mean and abbreviated Gratitude Scale mean) as covariates in one linear mixed-effects model (B Model) while including all of the covariates included in the earlier models. All models included a family-specific random effect to account for within-family dependence between twins and siblings. Finally, we used linear mixed effects models to control for data dependencies due to twins and siblings being included in the sample rather than randomly pick one person from each family cluster because the latter reduces the sample size, thereby compromising effect size estimates and power.
Emotion significantly modulated EBR magnitude. A significant main effect of valence was found across probe times, F(2,1527) = 8.96, p<0.001, such that EBR magnitude was greater across probe times on negative (mean (SE) = 0.08 (0.03)) compared to both neutral (mean (SE) = –0.04 (0.03)) and positive (mean (SE) = –0.06 (0.03)) trials. A significant main effect of probe time was found across valences, F(1,1527) = 13.25, p<0.001, such that EBR magnitude was greater across valences during the recovery probe time after picture offset (mean (SE) = 0.05 (0.02)) than the reactivity probe time during the picture presentation (mean (SE) = –0.06 (0.02)), consistent with previous reports that startle responses are larger for humans in darkness than in light , reflecting the change in room light levels between a picture on the screen compared to a black computer screen. The valence x probe time interaction was marginally significant, F(2,1527) = 2.42, p = 0.09. See Figure 3 for the EBR averages by valence and probe time.
Emotion modulation was observed in the EBR measures with a significant main effect of valence: EBR magnitude was greater on negative compared to both neutral and positive trials across probe times. A main effect of probe time showed larger EBR magnitude across valences in response to the recovery probe after picture offset when the computer screen was black than to the reactivity probe during the picture presentation (consistent with findings of larger responses to startling stimuli in darkness than in light). Mean EBR magnitude was significantly greater on negative than both neutral and positive trials at the reactivity probe, and greater on negative than positive trials at the recovery probe.
Effects of Purpose in life and the other Psychological Well-being Dimensions
The zero order correlations between each of the psychological well-being dimensions with EBR magnitude measures obtained (1) at the reactivity probe, (2) at the recovery probe, and (3) with a recovery residual reflecting EBR magnitude at the recovery probe regressed on EBR magnitude at the reactivity probe to remove variation due to differences in reactivity are presented in Table 1. These correlations reveal that both purpose in life and positive relations with others predicted larger EBR magnitude during the picture presentations indicating greater reactivity to the negative pictures. Both purpose in life and self-acceptance also predicted significantly smaller EBR magnitude at the recovery probe, but only purpose in life predicted significantly smaller recovery residuals, when EBR magnitude at the recovery probe is regressed on EBR magnitude at the reactivity probe, controlling for differences in reactivity. See Figure 4 for a scatterplot of the linear relations between purpose in life and the EBR recovery residual.
Note: (1) EBR values are log-transformed and then z-scored within each participant. (2) The EBR recovery measure here reflects EBR magnitude at the recovery probe regressed on EBR magnitude at the reactivity probe, removing variation due to differences in reactivity. (3) The relation remains significant if the outlier is removed: Purpose in life x EBR negative magnitude residual at recovery r = –0.15, p = 0.03.
When demographic and data quality variables were included as covariates, the linear mixed-effects models testing the ability of each of the well-being dimensions to predict reactivity were not significant (all βs<0.009, all ps > 0.13). However, the estimates presented in Table 2 show that when demographic, data quality, and EBR magnitude at the reactivity probe were included as covariates in the models with EBR magnitude at the recovery probe, purpose in life still predicted smaller EBR at the recovery probe; A Models: β = –0.016, t(230) = –3.02, p = 0.003. Personal growth and self-acceptance also predicted EBR magnitude at the recovery probe in the A Models, however only purpose in life remained at trend level when all of the above covariates were included as well as all of the psychological well-being dimensions, trait positive and negative affect, and subjective well-being variables in the same model, β = –0.017, t(216.90) = –1.86, p = 0.064 (see Table 2). Thus, the findings from the linear mixed-effects model, which adjusts for the potential dependencies in the data from twins and siblings, show that when all of the psychological well-being dimensions, subjective well-being, and trait positive and negative affect are included in the same analytic model, purpose in life still predicts at trend level lower EBR magnitude at recovery. Therefore, higher levels of purpose in life are associated with better recovery from negative emotional stimuli even with the effect of the other well-being dimensions and positive and negative trait affect removed.
Finally, as seen in Figure 4, there was one outlier on EBR magnitude at the recovery probe. All of the analyses reported above include the outlier. When the outlier participant’s data is excluded from the linear mixed-effects models, purpose in life still significantly predicted EBR recovery in each of the models: A Model linear mixed-effects model: β = –0.014, t(229) = –2.64, p = 0.009; and B Model linear mixed-effects model: β = –0.017, t(216.61) = –2.05, p = .042. Importantly, only purpose in life and none of the other well-being dimensions predicted EBR recovery in the B Model when all of the well-being dimensions were included in the same model, regardless of whether the outlier was included or not, all ps > 0.43.
Higher levels of purpose in life, self-reported on average over two years prior, predicted better recovery from a negative stimulus measured with the eyeblink startle response (EBR), such that those persons reporting greater life purpose exhibited smaller EBR magnitude after picture offset. The significant association between purpose in life and EBR magnitude measures of recovery were observed even when differences in EBR magnitude at the reactivity probe during the stimulus presentation were statistically removed. Moreover, the relations between purpose in life and emotional recovery from negative stimuli were still significant when controlling for participants’ age, gender, the five other psychological well-being dimensions, self-reported trait positive and negative affect, and measures of their subjective well-being.
The better recovery exhibited after stimulus offset by those with high life purpose reflects a more healthy emotional time course profile. Davis has demonstrated a crucial role of the central nucleus of the amygdala in the fear potentiation of the startle response in rats , and human studies suggest a similar role for the amygdala in emotion-modulated startle –. Thus the current finding of reduced startle during recovery is consistent with previous reports from our laboratory  showing better regulation of the amygdalar response to negative pictures in people with high levels of purpose in life.
Purpose in life stood out among the well-being measures in its ability to predict EBR measures of recovery, suggesting that feeling purpose and meaning in one’s life may contribute to a more healthful and adaptive regulation of negative emotional responses. Taubitz, Robinson, and Larson (2013) recently examined the time course of EBR emotion-modulation in dysphoric women by examining both reactivity to the picture presentation and recovery after picture offset . Dysphoric females, compared to non-dysphoric females, exhibited blunted EBR for negative relative to neutral pictures during the picture presentation (less reactivity), but heightened EBR for negative relative to neutral pictures after picture offset (poorer recovery), as demonstrated by hypothetical Participant D in Figure 1. In other words, dysphoric females exhibited a recovery profile comparable to that which persons with low purpose in life exhibited in the current study. However, it is important to point out that in the current study, the significant relations between purpose in life and recovery were observed even when gender and both trait positive and negative affect were controlled.
Poor recovery from negative stimuli has been observed in depressed individuals who display sustained pupil dilation and amygdala activation to negative words –. While nondepressed individuals increase dorsolateral prefrontal cortex activation and decrease amygdala activation when reappraising emotional pictures, depressed persons do not . Depression is also characterized by working memory and attentional biases, including increased elaboration of negative information, problems disengaging from negative material, and deficits in cognitive control when processing negative information , . Individuals with depression usually report high levels of rumination  and greater use of emotional suppression . Both rumination and suppression are ineffective emotion regulation techniques that can actually increase negative emotions  and the associated sympathetic nervous system activity , , suggesting a potential mechanism underlying the physical burden of the dysregulated negative affect characterizing the disorder. According to the World Health Survey, depression has a greater impact on overall health than arthritis, diabetes, angina, and asthma . Because lower levels of psychological well-being, including lower levels of purpose in life, are correlated with higher rates of depression , , , , , the psychological well-being and depression literature further supports the linkage between emotional regulatory skills and purpose in life.
How might higher levels of purpose in life contribute to the ability to recover from aversive and unpleasant events? Additional research is needed. However, having greater purpose in life may provide motivation to constructively learn from and reappraise negative events in an adaptive manner and avoid brooding and ruminative tendencies, so as to quickly refocus on one’s goals and purpose. Possessing higher levels of well-being, especially purpose in life, may provide a wealth of resources one can use to cope with the current situation, motivating an adaptive and proactive handling of the situation, buffering the effect of adverse experiences, and thereby facilitating and fostering the learning and development of even greater emotion regulation skill over time. This idea is supported by reports that purpose in life is a key factor associated with better recovery from trauma in at-risk African American populations  as well as Pakistani earthquake survivors , such that those reporting higher levels of purpose in life had decreased rates of post-traumatic stress disorder (PTSD) after suffering trauma. Purpose in life might be a “resilience factor,” protecting against the development of psychopathologies such as PTSD and depression after stress and trauma exposure, or even the repeated minor stresses experienced over the course of a lifetime. The current study suggests a mechanism through which purpose in life may confer protection is by facilitating automatic emotion regulation after negative emotional provocation.
In turn, the reverse may also be true, to experience high well-being and purpose, individuals may need to be able to flexibly modify their emotional responses depending on the situation  whether it is to (i) temporarily up-regulate and increase a negative emotion to empathize with another or (ii) quickly down-regulate and decrease a negative emotion to refocus attention and concentrate on a task after experiencing an unpleasant event. Thus, people more skilled and adept at emotion regulation may have advantages in work and family life that nurture greater life success, including a greater sense of mastery, growth, and especially purpose in life. Moreover, the connections between purpose in life and emotional recovery/regulation are likely reciprocal in nature over time. Those with a greater sense of purpose in life may be better prepared to respond to emotional challenges more quickly and efficiently as our data show. However, better emotional recovery from negative stimuli, particularly cumulatively through development, might also lead to greater purpose in life. Our study tested the ability of purpose in life, measured about two years prior, to predict emotional recovery, underscoring the need for additional studies to test whether the relationship between purpose in life and emotion regulatory abilities are uni- or bidirectional, especially at different stages in the life span.
In conclusion, this longitudinal investigation combined phenomenologically-experienced aspects of well-being with automatic, objectively measured assessments of emotional reactivity and recovery obtained in the laboratory over two years after the well-being assessment. The MIDUS study features a remarkably large sample with a wide age range, unique for an experiment utilizing psychophysiological measures. Our findings suggest that higher levels of self-reported purpose in life predict a person’s future ability to recover from exposure to negative stimuli. Persons with higher purpose in life showed a facilitated recovery with smaller eyeblink startle responses after negative stimuli offset, suggesting a healthier overall emotional time course. Additional research testing potential mechanisms by which purpose in life may be related to emotional recovery skills  and confer resilience from trauma , , as well as how better emotional recovery skills may contribute to purpose in life is warranted. Purposeful life engagement has increasingly been linked to better health outcomes, including assessments of morbidity and mortality ,  as well as intervening biological mechanisms , . Understanding brain-based emotion regulation processes that contribute to these outcomes are important next steps.
The authors wish to express their gratitude to Larry Greischar, David Bachhuber, Kristin Javaras, Adam Koppenhaver, Lucas Hinsenkamp, Isa Dolski, and a number of students and staff from the Waisman Laboratory for Brain Imaging and Behavior for their assistance with data collection and reduction. We also wish to thank Barry Radler and Gayle Love from the Institute on Aging for their dedication and continued assistance in making all MIDUS logistics work.
Conceived and designed the experiments: CMvR CJN CDR RJD. Performed the experiments: CMvR RCL CJN SMS. Analyzed the data: SMS JMB CMvR RCL. Contributed reagents/materials/analysis tools: SMS JMB CMvR RCL CDR RJD. Wrote the paper: SMS JMB CMvR RCL CDR CJN RJD.
- 1. Ryff CD, Friedman EM, Morozink JA, Tsenkova V (2012) Psychological resilience in adulthood and later life: Implications for health. Annual Review of Gerontology and Geriatrics 32: 73–92 doi:10.1891/0198-8794.32.73.
- 2. Ryff C, Friedman E, Fuller-Rowell T, Love G, Miyamoto Y, et al. (2012) Varieties of resilience in MIDUS. Social and Personality Psychology Compass 6: 792–806 doi:10.1111/j.1751-9004.2012.00462.x.
- 3. Ryff C (1989) Happiness is everything, or is it? Explorations on the meaning of psychological well-being. Journal of Personality and Social Psychology 57: 1069. doi: 10.1037//0022-3522.214.171.1249
- 4. Ryff CD, Keyes CL (1995) The structure of psychological well-being revisited. Journal of Personality and Social Psychology 69: 719–727. doi: 10.1037/0022-35126.96.36.1999
- 5. Ryff CD, Singer BH, Dienberg Love G (2004) Positive health: connecting well-being with biology. Philosophical Transactions of the Royal Society B: Biological Sciences 359: 1383–1394 doi:10.1098/rstb.2004.1521.
- 6. Friedman EM, Hayney M, Love GD, Singer BH, Ryff CD (2007) Plasma interleukin-6 and soluble IL-6 receptors are associated with psychological well-being in aging women. Health Psychology 26: 305–313 doi:10.1037/0278-6188.8.131.525.
- 7. Boyle PA, Buchman AS, Bennett DA (2010) Purpose in life is associated with a reduced risk of incident disability among community-dwelling older persons. American Journal of Geriatric Psychiatry 18: 1093–1102 doi:10.1097/JGP.0b013e3181d6c259.
- 8. Boyle P, Buchman A, Barnes L, Bennett D (2010) Effect of a purpose in life on risk of incident Alzheimer disease and mild cognitive impairment in community-dwelling older persons. Archives of General Psychiatry 67: 304–310. doi: 10.1001/archgenpsychiatry.2009.208
- 9. Boyle PA, Buchman AS, Wilson RS, Yu L, Schneider JA, et al. (2012) Effect of purpose in life on the relation between Alzheimer disease pathologic changes on cognitive function in advanced age. Archives of General Psychiatry 69: 499–505 doi:10.1001/archgenpsychiatry.2011.1487.
- 10. Boyle PA, Barnes LL, Buchman AS, Bennett DA (2009) Purpose in life is associated with mortality among community-dwelling older persons. Psychosomatic Medicine 71: 574–579 doi:10.1097/PSY.0b013e3181a5a7c0.
- 11. Nierenberg AA, Rapaport MH, Schettler PJ, Howland RH, Smith JA, et al. (2010) Deficits in psychological well-being and quality-of-life in minor depression: Implications for DSM-V. CNS Neuroscience & Therapeutics 16: 208–216 doi:10.1111/j.1755-5949.2009.00108.x.
- 12. Wood AM, Joseph S (2010) The absence of positive psychological (eudemonic) well-being as a risk factor for depression: A ten year cohort study. Journal of Affective Disorders 122: 213–217 doi:10.1016/j.jad.2009.06.032.
- 13. Koster EHW, De Lissnyder E, Derakshan N, De Raedt R (2011) Clinical Psychology Review. Clinical Psychology Review 31: 138–145 doi:10.1016/j.cpr.2010.08.005.
- 14. Gotlib IH, Joormann J (2010) Cognition and depression: Current status and future directions. Annual review of clinical psychology 6: 285–312 doi:10.1146/annurev.clinpsy.121208.131305.
- 15. Siegle GJ, Granholm E, Ingram RE, Matt GE (2001) Pupillary and reaction time measures of sustained processing of negative information in depression. Biological Psychiatry 49: 624–636 doi:10.1016/S0006-3223(00)01024-6.
- 16. Siegle GJ, Steinhauer SR, Thase ME, Stenger VA, Carter CS (2002) Can't shake that feeling: Event-related fMRI assessment of sustained amygdala activity in response to emotional information in depressed individuals. Biological Psychiatry 51: 693–707 doi:10.1016/S0006-3223(02)01314-8.
- 17. Siegle GJ, Steinhauer SR, Carter CS, Ramel W, Thase ME (2003) Do the seconds turn into hours? Relationships between sustained pupil dilation in response to emotional information and self-reported rumination. Cognitive Therapy and Research 27: 365–382.
- 18. Johnstone T, van Reekum CM, Urry HL, Kalin NH, Davidson RJ (2007) Failure to regulation: Counterproductive recruitment of top-down prefrontal-subcortical circuitry in major depression. Journal of Neuroscience 27: 8877–8884 doi:10.1523/JNEUROSCI.2063-07.2007.
- 19. van Reekum CM, Urry HL, Johnstone T, Thurow ME, Frye CJ, et al. (2007) Individual differences in amygdala and ventromedial prefrontal cortex activity are associated with evaluation speed and psychological well-being. Journal of Cognitive Neuroscience 19: 237–248 doi:10.1162/jocn.2007.19.2.237.
- 20. Sprengelmeyer R, Steele JD, Mwangi B, Kumar P, Christmas D, et al. (2011) The insular cortex and the neuroanatomy of major depression. Journal of Affective Disorders 133: 120–127 doi:10.1016/j.jad.2011.04.004.
- 21. Lewis GJ, Kanai R, Rees G, Bates TC (2013) Neural correlates of the “good life”: Eudaimonic well-being is associated with insular cortex volume. Social Cognitive and Affective Neuroscience. doi:10.1093/scan/nst032.
- 22. Davidson RJ (1998) Affective style and affective disorders: Perspectives from affective neuroscience. Cognition and Emotion 12: 307–330. doi: 10.1080/026999398379628
- 23. Davidson RJ (2000) Affective style, psychopathology, and resilience: brain mechanisms and plasticity. American Psychologist 55: 1196–1214. doi: 10.1037//0003-066x.55.11.1196
- 24. Bradley MM, Lang PJ (2007) Emotion and Motivation. In: Cacioppo JT, Tassinary LG, Berntson GG, editors. Handbook of Psychophysiology. pp. 581–607.
- 25. Tassinary LG, Cacioppo JT, Vanman EJ (2007) The skeletomotor system: Surface electromyography. In: Cacioppo JT, Tassinary LG, Berntson GG, editors. The Handbook of Psychophysiology. Cambridge University Press. pp. 267–302.
- 26. Jackson DC, Mueller CJ, Dolski I, Dalton KM, Nitschke JB, et al. (2003) Now you feel it, now you don't: frontal brain electrical asymmetry and individual differences in emotion regulation. Psychological Science 14: 612–617 doi:_10.1046/j.0956-7976.2003.psci_1473.x.
- 27. Filion DL, Dawson ME, Schell AM (1998) The psychological significance of human startle eyeblink modification: a review. Biological Psychology 47: 1–43. doi: 10.1016/s0301-0511(97)00020-3
- 28. Lang PJ (1995) The emotion probe: Studies of motivation and attention. American Psychologist 50: 372. doi: 10.1037//0003-066x.50.5.372
- 29. Germans Gard M, Kring AM (2007) Sex differences in the time course of emotion. Emotion 7: 429–437 doi:10.1037/1528-35184.108.40.2069.
- 30. van Reekum CM, Schaefer SM, Lapate RC, Norris CJ, Greischar LL, et al. (2011) Aging is associated with positive responding to neutral information but reduced recovery from negative information. Social Cognitive and Affective Neuroscience 6: 177–185 doi:10.1093/scan/nsq031.
- 31. Taubitz LE, Robinson JS, Larson CL (2013) Modulation of the startle reflex across time by unpleasant pictures distinguishes dysphoric from non-dysphoric women. International Journal of Psychophysiology 87: 124–129 doi:10.1016/j.ijpsycho.2012.11.002.
- 32. Brim OG, Ryff CD, Kessler RC (2004) The MIDUS National Survey: An overview. In: Brim OG, Ryff CD, Kessler RC, editors. How healthy are we? A national study of well-being at midlife. Chicago, IL: The University of Chicago Press. pp. 1–36.
- 33. Watson D, Clark LA, Tellegen A (1988) Development and validation of brief measures of positive and negative affect: the PANAS scales. Journal of Personality and Social Psychology 54: 1063–1070 doi:10.1037/0022-35220.127.116.113.
- 34. Pavot W, Diener E (1993) Review of the satisfaction with life scale. Psychological Assessment 5: 164–172. doi: 10.1037//1040-3518.104.22.168
- 35. McCullough ME, Emmons RA, Tsang J-A (2002) The grateful disposition: A conceptual and empirical topography. Journal of Personality and Social Psychology 82: 112–127 doi:10.1037//0022-3522.214.171.124.
- 36. Lang PJ, Bradley MM, Cuthbert BN (2008) International Affective Picture System (IAPS): Affective ratings of pictures and instruction manual. 8 ed. Gainesville, FL: University of Florida. 61 pp.
- 37. Bradley M, Cuthbert B, Lang P (1993) Pictures as prepulse: Attention and emotion in startle modification. Psychophysiology 30: 541–545. doi: 10.1111/j.1469-8986.1993.tb02079.x
- 38. Grillon C, Ameli R (1998) Effects of threat of shock, shock electrode placement and darkness on startle. International Journal of Psychophysiology 28: 223–231. doi: 10.1016/s0167-8760(97)00072-x
- 39. Davis M (2006) Neural systems involved in fear and anxiety measured with fear-potentiated startle. American Psychologist 61: 741–756 doi:10.1037/0003-066X.61.8.741.
- 40. Angrilli A, Mauri A, Palomba D, Flor H, Birbaumer N, et al. (1996) Startle reflex and emotion modulation impairment after a right amygdala lesion. Brain 119: 1991–2000 doi:10.1093/brain/119.6.1991.
- 41. Buchanan TW, Tranel D, Adolphs R (2004) Anteromedial temporal lobe damage blocks startle modulation by fear and disgust. Behavioral Neuroscience 118: 429–437 doi:10.1037/0735-7044.118.2.429.
- 42. Davis M, Walker D, Lee Y (1999) Neurophysiology and neuropharmacology of startle and its affective modulation. In: Dawson ME, Schell AM, Bohmelt AH, editors. Startle modification: Implications for neuroscience, cognitive science, and clinical science. pp. 95–113.
- 43. Nolen-Hoeksema S, Wisco BE, Lyubomirsky S (2008) Rethinking rumination. Perspectives on Psychological Science 3: 400–424 doi:10.1111/j.1745-6924.2008.00088.x.
- 44. Ehring T, Fischer S, Schnülle J, Bösterling A, Tuschen-Caffier B (2008) Characteristics of emotion regulation in recovered depressed versus never depressed individuals. Personality and Individual Differences 44: 1574–1584. doi: 10.1016/j.paid.2008.01.013
- 45. Campbell-Sills L, Barlow D, Brown T, Hofmann SG (2006) Effects of suppression and acceptance on emotional responses of individuals with anxiety and mood disorders. Behaviour Research and Therapy 44: 1251–1263 doi:10.1016/j.brat.2005.10.001.
- 46. Gross JJ, Levenson RW (1997) Hiding feelings: the acute effects of inhibiting negative and positive emotion. Journal of Abnormal Psychology 106: 95–103. doi: 10.1037/0021-843x.106.1.95
- 47. Roberts NA, Levenson RW, Gross JJ (2008) Cardiovascular costs of emotion suppression cross ethnic lines. International Journal of Psychophysiology 70: 82–87 doi:10.1016/j.ijpsycho.2008.06.003.
- 48. Moussavi S, Chatterji S, Verdes E, Tandon A, Patel V, et al. (2007) Depression, chronic diseases, and decrements in health: results from the World Health Surveys. The Lancet 370: 851–858. doi: 10.1016/s0140-6736(07)61415-9
- 49. Ryff C, Lee Y, Essex M, Schmutte P (1994) My children and me: Midlife evaluations of grown children and of self. Psychology and Aging 9: 195. doi: 10.1037/0882-79126.96.36.199
- 50. Alim TN, Feder A, Graves RE, Wang Y, Weaver J, et al. (2008) Trauma, resilience, and recovery in a high-risk African-American population. The American journal of psychiatry 165: 1566–1575 doi:10.1176/appi.ajp.2008.07121939.
- 51. Feder A, Ahmad S, Lee EJ, Morgan JE, Singh R, et al. (2012) Coping and PTSD symptoms in Pakistani earthquake survivors: Purpose in life, religious coping and social support. Journal of Affective Disorders 147: 156–163 doi:10.1016/j.jad.2012.10.027.
- 52. Gross J (1998) The emerging field of emotion regulation: An integrative review. Review of General Psychology 2: 271. doi: 10.1037//1089-26188.8.131.521
- 53. Morozink JA, Friedman EM, Coe CL, Ryff CD (2010) Socioeconomic and psychosocial predictors of interleukin-6 in the MIDUS national sample. Health Psychology 29: 626–635 doi:10.1037/a0021360.