- Department of Psychology, Medical School Berlin (MSB), Berlin, Germany
This study investigated the effects of the 6 Minutes Journal (6MT), a commercial diary combining several positive psychology interventions, including gratitude, goal-setting, and self-affirmation exercises, on several mental health outcome measures. In a randomized controlled trial, university students (N = 157) were randomly assigned to one of two groups: 6MT (n = 77) and a wait list control group (n = 80). Participants in the intervention group were instructed to follow the instructions of the 6MT for 4 weeks. Participants in both groups completed measures of perceived stress, positive and negative affect, self-efficacy and resilience at baseline, after 2 (t1), and 4 (t2) weeks. We used path-analyses with autoregressive and cross-lagged effects to test our hypotheses of the effects of the 6MT. Participants in the intervention group reported decreased levels of perceived stress and negative affect, as well as increased levels of resilience and self-efficacy compared to the control group. Positive affect was not statistically significantly influenced. The data showed a statistically significant increased levels of self-efficacy and resilience only after 4 weeks, suggesting that changing these constructs needs more time. The 6-minute diary does not appear to make individuals fundamentally more positive. However, the intervention may have a protective function against negative influences on well-being.
Introduction
Stress continues to be a major health concern for university students (Çivitci, 2015; Garett et al., 2017). The unique challenges students face exposes them to a range of stressors (Acharya et al., 2018), resulting in an increasing number of students reporting moderate levels of stress-related mental health problems (Regehr et al., 2013). Not only is chronic stress negatively correlated with mental health, but studies show significant effects on student academic performance and a decrease in student success (American College Health Association, 2021).
These phenomena were the case before the outbreak of COVID-19 disease (Wang et al., 2020) and have increased since (Cao et al., 2020; Chi et al., 2020; Charles et al., 2021). Given the high demands and little resources regarding time and income, there is a need for fast and low-cost interventions as resources for this target group against stress and its impact on health in everyday student life, but increasingly so during crises.
The use of evidence-based positive interventions has been shown in previous studies to have desirable associations with relevant outcome measures, such as functional coping with stress (Layous et al., 2014), subjective well-being (Wood et al., 2009; Rash et al., 2011; Allan et al., 2013; Datu, 2013) or social relationships (Emmons and McCullough, 2003). Recent meta-analytic evidence suggests that positive interventions have at least small to medium-sized positive effects on well-being (Donaldson et al., 2021) and when used in workplace settings resulted in small to medium effects on both desirable (e.g., engagement, prosocial behavior) and undesirable outcomes (e.g., stress; Donaldson et al., 2019).
The Current Study
In this study, we aim to investigate the effect of the 6-Minute diary on several outcomes in a student population. The 6-Minute diary is a commercial product that includes an introductory part consisting of information on the positive effects of positive psychology, habits, and self-reflection, as well as the actual daily diary section. The diary section includes a collection of various evidence-based positive psychology interventions. There are three short exercises per day in the morning and three exercises in the evening.
Apart from the daily interventions, the diary has sections for a monthly check-in, in which the users can reflect on several personal outcomes (e.g., mood, exercise, health, or finances). In the following section, these interventions are introduced and previous evidence and possible modes of action are explained.
According to a recent systematic review by Donaldson et al. (2021), the most promising positive psychology interventions consist of several components in order to be effective. These interventions offer the possibility to learn (i.e., develop knowledge and awareness), practice (i.e., behavioral skills easily implemented in daily life), reflect (i.e., sense-making and reinforcement after exercises), relate (i.e., increase engagement and accountability), and plan (i.e., goal setting and planning to ensure sustainability; Donaldson et al., 2021). The 6-Minute diary combines several of the mentioned components, such as monthly reflection, interventions and educational sections. The aim of our study is to take the previous results from positive psychology studies and test them in a commercial, i.e., a purchasable product on the market, and evaluate them in such a real life form. Furthermore, we want to test the possible effect of the 6 Minutes Diary on variables related to possible preventive effects on physical and mental health. The interventions included in the 6 Minutes Diary and their expected effects on the dependent variables are explained in the next sections.
Gratitude Intervention
One of the exercises in the 6-Minute Diary is a classic gratitude intervention in which one lists things or events for which one is grateful (Emmons and McCullough, 2003; Watkins et al., 2003; Seligman et al., 2005; Froh et al., 2008). To date, several studies have examined the benefits of gratitude for interpersonal relationships (Sun et al., 2014), social support (Wood et al., 2008), subjective well-being (Wood et al., 2009; Rash et al., 2011; Allan et al., 2013; Datu, 2013), strengthened social relationships (Emmons and McCullough, 2003), and improved physiological and cognitive functioning (McCraty et al., 2003). There are positive correlations between gratitude and life satisfaction, happiness, optimism, hope, and positive affect. Furthermore, there are negative correlations between gratitude and anxiety, depression, negative affect, and physical aggression (e.g., McCullough et al., 2002; Watkins et al., 2003). These results indicate the potency of gratitude as an amplifier for positive emotions and a buffer for negative emotions.
Goal Setting
Another exercise of the 6-Minute Diary is setting positive, personal goals. These goals reflect consciously formulated and personally meaningful objectives that guide perceptions, feelings, thoughts, and actions (Elliot et al., 2001; Wiese and Freund, 2005). Conscious goal setting is intended to direct attention and effort toward goal-relevant activities and away from goal-irrelevant activities (Locke et al., 1981).
There are negative correlations between goal-setting interventions and negative affect, and positive correlations with positive affect (Emmons and Diener, 1986), subjective well-being (Brunstein, 1993), and higher expectancy of success (Karakowsky and Mann, 2008). The mere existence of self-set goals seems to correlate with well-being as much as the actual achievement of the goals (Emmons and Diener, 1986). Furthermore, there is evidence for a positive influence of goal setting on perceived self-efficacy (e.g., Latham and Seijts, 1999).
Self-Affirmation
The principles of self-affirmation are also echoed through a 6-Minute diary exercise in which users write a positive phrase about themselves each morning. These phrases are designed to help identify and reinforce one’s core values (Steele, 1988; Sherman and Cohen, 2006).
Regular self-affirmations have been shown to reduce negative emotions (Nelson et al., 2014), moderate physiological responses to stressful situations (Creswell et al., 2005; Sherman et al., 2009), and increase self-efficacy expectations, positive affect (Howell, 2017), and academic achievement (Cohen et al., 2006, 2009).
Random Acts of Kindness Exercise
Another exercise in the 6-Minute diary draws on the principles of random acts of kindness (Jones, 1998). Individuals are asked to remember what good they have done for others that day. Being aware of one’s acts of kindness shows a positive association with well-being (Otake et al., 2006; Lyubomirsky and Layous, 2013), self-worth (Fredrickson et al., 2008), positive affect, experienced social support, and mindfulness, and a negative association with negative affect and symptoms of illness (Fredrickson et al., 2008; Cohn and Fredrickson, 2010; Hoffman et al., 2011).
Three Good Things
The Three Good Things intervention involves writing down three things that went well each day while consciously focusing attention on positive emotions of the day (Seligman et al., 2005). Implementation of the intervention showed a positive association with experiencing positive emotions (Lyubomirsky, 2008), positive affect, gratitude (Martínez-Martí et al., 2010), and well-being, and a negative association with depressive symptomatology (Seligman et al., 2005) and burnout (Adair et al., 2020).
Associations of 6-Minute Diary Interventions With Psychological Variables
Stress
According to Lazarus and Folkman’s (1984) transactional stress model, stressful situations are defined as cognitive and emotional appraisal processes of a situation and the coping options available to the person. Thus, if a person feels stressed is dependent on an individual evaluation of the potentially stressful situation and whether the individual feels capable of coping with it.
Effects of Stress
How individuals perceive and cope with stress varies from person to person; however, short- to medium-term stress often results in physiological activation, impairment of well-being, and reduced performance (Kaufmann et al., 1982). In contrast to medium- to long-term stress exposure, this is not directly detrimental to health (Werdecker and Esch, 2019). Consequences of prolonged stress include elevated blood pressure, cardiovascular disease, or psychological disorders, such as depression or anxiety disorders (Klein et al., 2016; O’Connor et al., 2021). In addition, perceived stress is associated with lower life satisfaction (Matheny et al., 2008).
Preventive Strategies Against Stress
Therefore, in order to avoid or reduce health-damaging consequences of stress, the development of preventive measures is of particular importance. Behavioral prevention strategies focus on enabling individuals to deal with stressful situations. This can be done by expanding existing resources or developing new coping mechanisms. According to findings in the literature, positive emotions (Folkman, 2008; Layous et al., 2014), gratitude, and confidence in particular (Seligman, 2012), facilitate coping with stress.
Furthermore, increasing resilience and self-efficacy expectations can contribute to better coping with stress (Wiley et al., 2017; Werdecker and Esch, 2019). With the Gratitude Intervention, Three Good Things, and Self-Affirmation exercises, the 6-Minute Diary includes several evidence-based brief interventions that could be effective as behavioral prevention against perceived stress.
Positive and Negative Affect
Positive affect refers to the extent to which a person experiences positive emotional states such as joy, interest, confidence, and alertness. In contrast, negative affect refers to the extent to which a person experiences negative emotional states, such as fear, sadness, anger, guilt, contempt, and disgust (Snyder and Lopez, 2002). Positive and negative affect are defined as dimensions that represent the extent of positive and negative activation. In addition, they influence the extent to which individuals experience life events as joyful and stressful, respectively (Watson and Tellegen, 1999). This means, for example, that individuals with higher positive and lower negative affect will show a more positive emotional response to a highly stressful event than individuals with lower positive and higher negative affect.
Effects of Positive and Negative Affect
There are correlations of positive affect with resilience, social activity, satisfaction, and the number of pleasant events, and correlations of negative affect with stress, health problems, and the number of unpleasant events (Watson and Tellegen, 1985; Watson, 1988; Montero-Marin et al., 2015). Fredrickson’s (2001) broaden-and-build theory suggests that positive emotions lead to an expanded repertoire of thinking and action alternatives, which in turn promote the building of resources relevant to success. Experimental evidence suggests that induced positive emotions, compared to neutral and negative states, increase the range of attention (Rowe et al., 2007) and thereby the possibility for more perceived subjective well-being (Fredrickson and Joiner, 2002).
Strategies to Increase Positive Affect and to Reduce Negative Affect
Experimental research showed that gratitude interventions (McCullough et al., 2002), goal setting (McCarthy et al., 2010), remembering random acts of kindness (Fredrickson et al., 2008), and the Three Good Things intervention (Martínez-Martí et al., 2010) were associated with increased positive affect. This is supported by a recent review of the effect of positive psychology intervention on positive emotions (Moskowitz et al., 2021). For this reason, the use of the 6-Minute diary could also involve an increase in positive affect. Negative correlations have already been found between the intensity of negative affect and participation in a gratitude intervention (Emmons and Diener, 1986) and a Random Acts of Kindness intervention (Hoffman et al., 2011). For this reason, it is reasonable to speculate that the 6-Minute diary may also lead to a reduction in negative affect.
Self-Efficacy
General self-efficacy describes a person’s subjective belief that a person can cope with a difficult demand due to their own actions and abilities (Bandura, 1993). Individuals with high self-efficacy consciously set challenging goals, have a high level of motivation, and use their personal strengths to achieve their goals (Luthans et al., 2007).
Self-Efficacy as a Resource
A positive attitude of expectation and the subjective conviction to overcome future demands due to one’s own abilities makes self-efficacy a resource in coping with stress (Bandura and Locke, 2003; Schönfeld et al., 2016). Stressful situations produce less subjective stress in individuals with high self-efficacy than in individuals with low self-efficacy (Flammer, 2015). Higher levels of self-efficacy may be protective against post-traumatic stress (Gallagher et al., 2020) and are associated with lower social anxiety and depressive symptoms (Singh and Bussey, 2011). Furthermore, there are positive associations with increased cognitive performance, motivation (Niemiec and Lachowicz-Tabaczek, 2015), overall life satisfaction, subjective well-being, and optimism (Luszczynska et al., 2005; Sica et al., 2015; Schönfeld et al., 2016).
Strategies to Increase Self-Efficacy
Self-efficacy is closer to a state than a trait on the spectrum between state and trait and thus changeable within reasonable time and smaller interventions, i.e., can be learned and trained (Luthans et al., 2007; Schönfeld et al., 2016). Self-efficacy is mainly influenced by experiences from four domains (e.g., Bandura, 2000); accordingly, strategies to increase it can also be divided into these domains: (1) Experiences of success: successful attempts in performing certain activities; (2) Model learning: observing successful people who are similar to oneself; (3) Verbal persuasion: other people’s assessment of one’s own ability; and (4) Interpretation of physiological and emotional states: reinterpreting physical states (e.g., trembling, blushing, clammy hands) that are often perceived as signs of failure.
There are several exercises in the 6-Minute diary that are useful for building self-efficacy. Formulating positive goals (“What would make today wonderful?” and “What will I do better tomorrow?”) leads individuals to take on new challenges, providing opportunities to experience a sense of accomplishment. The Three Good Things intervention allows for reflection on those experiences of success and has already been used as an effective means of increasing self-efficacy (Guo et al., 2020).
Resilience
Luthans (2002) defines resilience as the ability to bounce back from adversity, conflict, failure, or even positive events, progress, and increasing responsibility and not let them get you down. Thus, resilience describes a functional process of adaptation to adverse or challenging circumstances (Fletcher and Sarkar, 2013; Chadwick, 2014; Davidson et al., 2016; Chmitorz et al., 2018). In contrast, contemporary definitions instead assume that resilience is a trait that can be learned and trained (Luthans et al., 2007; Smith et al., 2016).
Impact of Resilience
Empirical research has demonstrated that resilience is closely related to well-being (Ryff, 1989; Keyes et al., 2002; Keyes and Grzywacz, 2005). Evidence suggests that resilience has an impact on positive affect, physical health, sense of purpose, optimism, life satisfaction, and mindfulness (Montross et al., 2006; Lee et al., 2008; Smith et al., 2008; Abolghasemi and Varaniyab, 2010; Huppert and So, 2013; Keye and Pidgeon, 2013). Furthermore, evidence shows a moderating effect of resilience on depressive symptom severity, as well as negative correlations with depression, negative affect, pessimism, and emotion blindness (Smith et al., 2008; Wingo et al., 2010).
Strategies to Increase Resilience
Strategies to increase resilience can be divided into three groups with different emphases: risk-, resource-, and process-oriented (Masten et al., 2009), with the former being mainly relevant in a developmental psychology context (Luthans et al., 2007). Resource-oriented strategies focus on building actual or perceived resources. These include increasing self-efficacy expectations, optimism (Luthans et al., 2007), and positive affect (Cohn et al., 2009). Masten et al. (2009) define process-oriented strategies as effective adaptive systems and processes that are activated to appropriately deal with potential risk factors. Strategies from this domain often include elements of self-reflection and self-regulation.
The Gratitude Intervention, Random Acts of Kindness, and Three Good Things exercises from the 6-Minute Diary may lead to increases in positive affect (e.g., Martínez-Martí et al., 2010) and optimism (e.g., McCullough et al., 2002; Watkins et al., 2003), potentially involving increases in resilience (Gallagher et al., 2020). Furthermore, the use of the 6-Minute diary could lead to the development of self-efficacy expectations, which in turn potentially could have a positive impact on the development of resilience.
Aim of the Study and Hypotheses
The aim of the present study was to investigate the effect of the 6-Minute diary. Building on the above relations, we hypothesized the following:
1. Participants in the intervention diary group will report a greater decrease in perceived stress after (a) 2 (t2) and (b) 4 weeks (t3) than participants in the control group.
2. Participants in the intervention group report a greater decrease in negative affect after (a) 2 (t2) and (b) 4 weeks (t3) than participants in the control group.
3. Participants in the intervention group condition report a greater increase in positive affect after (a) 2 (t2) and (b) 4 weeks (t3) than participants in the control group.
4. Participants in the intervention group condition report a greater increase in resilience after (a) 2 (t2) and (b) 4 weeks (t3) than participants in the control group.
5. Participants in the intervention group report a stronger increase in self-efficacy after (a) 2 (t2) and (b) 4 weeks (t3) than participants in the control group.
Materials and Methods
We report every outcome variable we assessed in this section. No other dependent variables have been included or excluded in the process of this study.
Participants
Participants were recruited via advertisements in university social networks and had to be at least 18 years old. Participation in the study was voluntary. Students could earn test subject hours for participation. To determine an approximation of required sample size, we calculated an a priori power analysis using G*Power (Faul et al., 2007) based on the expected effect [f = 0.2, beta = 0.80, α = 0.05; multivariate analysis of variance (MANOVA), repeated measures, between factors] on the outcome measures. The calculation indicated that with a sample size of 80 individuals per group, we would be able to detect the expected effects. We planned to start the intervention with approximately 100 participants to account for a 20% dropout rate.
Participants were on average 23.95 (SD = 6.25) years old, and 75.15% were women. Two participants who identified as non-binary were excluded from the analyses due to low numbers, as an n of two is not sufficient for any tests of statistical significance. The final sample consisted of N = 157 participants, 77 in the intervention group and 80 in the control group (see Figure 1, CONSORT diagram for further details). We ran a dropout analysis to check for differences in variables between drop-outs and participants who completed the final questionnaire. None of the dependent variables, age or gender showed any statistically significant differences between the two groups.
Intervention
Participants in the intervention group were asked to write two diary entries daily. The diary divided the day into two sections. In the first section, participants were asked to (a) name three things for which they are grateful, (b) describe what would make the current day a good day, and (c) formulate a self-affirmation. In the second section, participants are asked to note (d) what good things they did for others that day, (e) what they will do better the next day, and (f) what Three Good Things they experienced that day.
All participants were informed that they did not have to share their diary entries and that they would not be read by anyone. Furthermore, participants were asked to follow the instructions in the 6-Minute diary and not to write more than one diary entry per day. The control group was designed as a waiting group, so participants did not have to do anything in this condition.
Procedure
Participants were informed in advance that the study was an investigation of the effectiveness of positive psychology interventions. After enrolling in the study, participants were randomly assigned to either the intervention group or control group. Participants in the 6-Minute diary group were then mailed an intervention packet that included the diary and detailed instructions on how to complete it.
All participants were sent a link to an online survey at the first measurement time point (t1) to collect demographic data, as well as baseline values of all outcome measures. After completion of the first survey, participants in the intervention group were asked to begin completing the diary; participants in the control group were told that additional baseline data would be collected before they could begin the intervention. Two (t2) and 4 weeks (t3) after the first survey, participants in both groups received an email with a link to another online survey. All participants received an e-mail 1 week later with a reminder to complete the questionnaire.
Instruments
Perceived Stress Scale
The German version of the Perceived Stress Scale (PSS-10, Schneider et al., 2020) was used to assess perceived stress. The scale captures to which extent individuals perceive situations in their lives as excessively uncontrollable, unpredictable, and stressful relative to their subjective coping abilities. The 10 items (e.g., “In the past month, how often have you felt unable to control the important things in your life?”) are answered on a 5-point rating scale. The scale ranges from 1 = “never” to 5 = “very often.” Here, higher scores indicate higher levels of perceived stress. Examination of internal consistency across the three measurement time points showed Cronbach’s α between 0.89 and 0.91 and McDonald’s ω between 0.92 and 0.93.
Positive and Negative Affect Schedule
Positive and negative affect was assessed using the German version of the Positive and Negative Affect Schedule (PANAS; Krohne et al., 1996). Participants were asked to rate 20 items, in terms of different sensations and feelings, on a 5-point rating scale regarding their intensity over the past 2 weeks. The scale ranges from 1 = “not at all” to 5 = “extremely,” with 10 adjectives each capturing the dimensions of positive affect (e.g., “active”) and negative affect (e.g., “distressed”). Higher scores indicate higher levels of positive and negative affect, respectively. Examination of internal consistency across the three measurement time points showed Cronbach’s α ranging from 0.91 to 0.93 for positive affect and 0.82 to 0.88 for negative affect. McDonald’s ω between 0.93 and 0.95 for positive affect and 0.88 and 0.91 for negative affect.
General Self-Efficacy Scale
Schwarzer and Jerusalem (2010) General Self-Efficacy Scale was used to assess self-efficacy. Ten items (e.g., “I face difficulties calmly because I can always trust my abilities.”) are rated on a 6-point rating scale ranging from 1 = “Strongly disagree” to 6 = “Strongly agree.” Here, higher scores indicate higher levels of self-efficacy. Examination of internal consistency across the three measurement time points showed Cronbach’s α between 0.91 and 0.92 and McDonald’s ω between 0.92 and 0.94.
Brief Resilience Scale
Resilience was assessed using the German version of the Brief Resilience Scale (BRS; Chmitorz et al., 2018). This is based on the resilience definition that resilient individuals have the ability to not succumb to and recover from stress (Smith et al., 2008). Six items (e.g., “I tend to recover quickly after difficult times.”) are answered on a 5-point rating scale, with response options ranging from 1 = “Strongly disagree” to 5 = “Strongly agree.” Here, higher scores indicate higher levels of resilience. Examination of internal consistency across the three measurement time points showed Cronbach’s α between 0.80 and 0.89 and McDonald’s ω between 0.87 and 0.94.
Intervention Check
Following Proyer et al. (2015), we asked participants in the intervention group to rate how they liked the intervention using single-item ratings (1 = “not at all” to 7 “very much”) and to provide a subjective assessment of whether they derived personal benefit from the intervention and, if so, how they quantified that benefit (1 = “no, not at all” to 5 = “yes, very much”). Furthermore, we asked about compliance and asked participants to rate how much they adhered to the instructions (0% = “not at all” to 100% = “completely”).
Data Analysis
Preliminary Analysis
Prior to the main analysis, a MANOVA was conducted to examine whether participants in the intervention group and the control group differed in their baseline scores on perceived stress, resilience, positive and negative affect, self-efficacy, gender, and age. Results showed no difference between groups, Pillai’s trace = 0.018, F(5,151) = 0.567, p = 0.726 (Grissom and Kim, 2012). The Pearson Chi-square test showed no gender differences in the distribution of participants in the conditions [χ2(1, N = 157) = 0.002, p = 0.962, Cramer’s φ = 0.004]. Furthermore, there were no differences in the age structure of the different groups [t(155) = −0.972, p = 0.33]. Means, standard deviations, and Cronbach’s α for both groups at all three measurement time points are presented in Table 1 on the next page. Preliminary analyses and descriptive statistics were performed using IBM SPSS version 25.
Table 1. Means, standard deviations, Cronbach’s alpha, and McDonalds omega in the 6-minute diary group and the control group at all three measurement points.
Main Analysis
We tested the hypotheses using path analyses. For this, we specified a structural model with autoregressive and cross-lagged effects to control for correlations within measurement time points and autoregressive influences (Kearney, 2017). Variables were allowed to correlate within their respective measurement time points. We specified seven theoretically significant cross-lagged effects: negative affect and (1) positive affect, (2) stress, and (3) resilience; (4) stress and self-efficacy; and resilience and (5) positive affect, (6) self-efficacy, and (7) stress. An overview of all the cross-lagged effects can be seen in Figure 2. We used Hu and Bentler’s (1999) standard criteria to evaluate the structural model. The results indicate that the specified model represents the data well [χ2(37) = 18.69, p = 0.995, SRMR = 0.023, RMSEA = 0.000, CFI = 1.00, TLI = 1.031]. The robust maximum likelihood estimator was used as the estimation method for the path analysis to correct for the non-normal distribution of the data. For path analysis, we used the package “lavaan” (Rosseel, 2012) of the statistical software R (version 4.0.3).
Results
Our first hypothesis stated that participants in the intervention group would report a greater decrease in perceived stress after 2 (hypothesis 1a) and 4 weeks (hypothesis 1b) than participants in the control group. The results of the regression analysis (Table 2) show that participants in the intervention group report statistically significantly less perceived stress than participants in the control group after 2 weeks (B = −1.234, p = 0.002), but not after 4 weeks (B = −0.649, p = 0.088). Thus, the results only provide evidence in favor of hypothesis 1a; hypothesis 1b is accordingly rejected. According to our second hypothesis, participants in the intervention group report a greater decrease in negative affect after 2 (hypothesis 2a) and 4 weeks (hypothesis 2b) than participants in the control group. Results indicate that participants in the intervention group report statistically significantly less negative affect at 2 (B = −0.945, p = 0.023) and 4 weeks (B = −0.782, p = 0.031), providing evidence in favor of hypotheses 2a and 2b. The third hypothesis related to the relative increase in positive affect for participants in the intervention group compared to the control group at both time points (t2: hypothesis 3a, t3: hypothesis 3b). The regression coefficients show no statistically significant effects, i.e., there are no differences in the increase of positive affect between the two conditions. For this reason, hypothesis 3 is rejected. According to our fourth hypothesis, participants in the intervention group report a greater increase in resilience after 2 (hypothesis 4a) and 4 weeks (hypothesis 4b) than participants in the control group. We also found only limited evidence for this set of hypotheses. The increase in resilience after 2 weeks did not differ statistically significantly across conditions. However, it appears that participants in the intervention group reported statistically significant higher resilience scores than the control group after 4 weeks (B = 0.763, p = 0.005). A similar picture emerges for the fifth hypothesis, which states that participants in the intervention group report a greater increase in self-efficacy after 2 (hypothesis 5a) and 4 weeks (hypothesis 5b) than participants in the control group. Again, the increase in self-efficacy is not statistically significant after 2 weeks, but is significant after 4 weeks (B = 0.574, p = 0.043). These results provide evidence only in favor of hypothesis 5b (for the results of all regressions, see Table 3).
Table 2. Unstandardized and standardized coefficients, standard errors, and p-values of the regressions.
Table 3. Unstandardized and standardized coefficients, standard errors, and p-values of the cross-shifted regressions.
Regarding the intervention checks, participants in the intervention group reported that they enjoyed the exercise (Mt2 = 5.48, SD = 1.21; Mt3 = 5.17, SD = 1.40) and benefited from doing it (Mt2 = 3.61, SD = 0.95; Mt3 = 3.53, SD = 0.93). Subjects also reported high scores on compliance (Mt2 = 84.48, SD = 12.67; Mt3 = 79.94, SD = 16.69). The means of all three measures decrease across the measurement time points, so we used t-tests to test whether this decrease was statistically significant. In the case of intervention preference [t(76) = 2.625, p = 0.010], as well as compliance [t(76) = 7.094, p = 0.001], there was a statistically significant reduction. In contrast, the decrease in subjective perceived benefit of the intervention was not statistically significant, t(76) = 0.847, p = 0.400.
Discussion
The present study evaluated the effectiveness of a combination of positive-psychology interventions included in the commercial 6-Minute diary in a student population compared with a wait-list control group. Results provide evidence that the intervention positively influenced four of the five outcome measures (i.e., perceived stress, resilience, negative affect, and self-efficacy). Only the positive affect was not statistically significantly influenced by the intervention compared to the control group in the current study.
The decrease in perceived stress at the second time point suggests that the interventions had a rapid effect on perceived stress. However, at the third measurement time point, perceived stress did not decrease further to a statistically significant level, which could indicate that the interventions buffer stress but cannot completely negate it. This is also supported by the fact that the best predictor of perceived stress is the autoregressive effect of stress from the previous time point.
The data showed a statistically significant increase in self-efficacy and resilience scores only after 4 weeks, suggesting that change in these constructs takes time. These results are consistent with the assumption that states and personality traits exist on a continuum and that certain state variables (e.g., self-efficacy) also exhibit some characteristics of personality dispositions and vice versa (Luthans et al., 2015). States are volatile and easily changeable, whereas dispositions are considered stable and difficult to change. In addition to self-efficacy, resilience also tends to be state-like (rather than a pure state variable) on the continuum, which may be one reason for the delay in change.
Regarding affect, the study found that the use of the 6-minute diary resulted in lower levels of negative affect at the second and third measurement time points, while positive affect remained unchanged. One possible explanation for this would be that the interventions tended to provide a buffer against negative affect – similar to the perceived stress mentioned above – but did not increase positive affect per se. Another possible explanation for the lack of change in positive affect could be found in the interaction with resilience. Smith et al. (2016) found that individuals with higher resilience reported higher levels of positive affect. Future studies could examine, for example, whether changes in positive affect are mediated by resilience can be mapped over longer periods of time. The investigation of longer longitudinal intervals could also be useful in order to shed more light on the possible decrease of compliance, and at the same time interventions to stop this decrease should be investigated.
Practical Implications
The intervention checks showed that participants in the intervention group reported high scores on preference, compliance, and utility at both, the second and third, measurement time points. Preference and compliance decrease somewhat over time, but still remain at high levels. Perceived usefulness remains consistently in a high range of values, indicating that participants subjectively benefit from performing the exercises in the 6-Minute diary. In order to prevent a further decline in the participants’ compliance, the use of external reminders could be worthwhile. This could possibly stabilize participants’ high level of compliance long enough for a habitualization effect to develop.
Through the use of the 6 Minutes Diary, the interventions are made available for a wider audience that otherwise might not have gotten in touch with these interventions, allowing for more people to benefit from the exercises. The 6-Minute Diary retails in Germany at approximately 25€ and provides pages for 6 months. It is thus relatively low in both costs and time commitment. Nevertheless, it might not be financially accessible for everyone. On the other hand, individuals could do the interventions via pen and paper or the note app on a smartphone, thereby not having to spend any extra money. However, it is possible that due to the financial investment, individuals feel a higher commitment to actually using the diary (Rusbult et al., 2011). Also, the design of the diary is visually appealing and might aid in keeping the motivation for doing the exercises high, even after the novelty effect wears off. Future studies could compare the effects of the intervention on individuals using the 6-Minute Diary (or other commercial versions) with individuals using pen and paper. Of special interest could be the change in compliance and preference for either of the conditions. Of particular interest here might be research that looks at which individuals have higher compliance with commercially available products and designs of interventions. In this way, interpersonal differences could be identified in order to optimize the fit between person, intervention and presentation in order to increase possible effects (e.g., Nelson and Lyubomirsky, 2014; Sheldon and Lyubomirsky, 2021).
Limitations
Discussing specific results of the study, there are possible limitations to keep in mind. First, our sample consisted of German students, most of them women. Previous evidence suggests that the effects of positive-psychology interventions vary between different populations (Bolier et al., 2013), it is possible that our results cannot be generalized to other non-student populations. Since our study only examined students, future work should also examine other populations. Second, we only used positive self-report measures that are prone to possible biases, e.g., the issue of common method variance. Even though there is an ongoing debate about the extent of the potential problem (e.g., Pace, 2010; Cooper et al., 2020), it should be kept in mind. Third, we used manifest variables in our statistical analysis and thus our model could possibly underestimate the stability of the used constructs over time (Eid et al., 2017). The use of manifest variables was necessary because the sample for a model that includes measurement and structural model would have significantly exceeded the number of participants in our intervention study. Forth, the use of a waitlist control condition is possibly a limitation of the present study. Placebo effects cannot be completely ruled out and meta-analyses showed that the type of comparison sample could affect effectiveness estimates (e.g., Sin and Lyubomirsky, 2009).
Conclusion
Our results provide first evidence for the positive influence of the 6-minute diary. However, some points should be considered in future research. Since stress has been found to be a time-sensitive construct, more frequent shorter time intervals between data collection periods should be considered. This would allow for a closer look at the impact of the diary intervention on stress. The delayed significant increase in resilience and self-efficacy after 4 weeks, on the other hand, calls for future studies over a longer period of time. This could allow conclusions to be drawn as to whether and to what extent dispositions can also be influenced by the intervention.
The results of our study indicate a positive influence of the 6-minute diary. In particular, this self-intervention seems to have a positive effect on self-efficacy and resilience. Analogous to resilience, our results suggest a protective function of the intervention to reduce negative affect. In summary, the 6-minute diary seems to be a helpful tool for building positive resources that requires relatively little financial investment and is easily integrated into one’s life.
Data Availability Statement
The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.
Ethics Statement
Ethical review and approval was not required for the study on human participants in accordance with the local legislation and institutional requirements. The patients/participants provided their written informed consent to participate in this study.
Author Contributions
TL and MA contributed to conception and design of the study. MA and BB organized the database and performed the statistical analysis. TL, MA, and BB wrote sections of the manuscript. All authors contributed to manuscript revision, read, and approved the submitted version.
Conflict of Interest
The authors received the intervention material, as well as a student assistant for the organization of distribution of the material from the organization UrBestself. UrBestself had no influence on the experimental design, statistical analysis, or the manuscript.
Publisher’s Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary Material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpsyg.2022.896741/full#supplementary-material
References
Abolghasemi, A., and Varaniyab, S. T. (2010). Resilience and perceived stress: predictors of life satisfaction in the students of success and failure. Proc. Soc. Behav. Sci. 5, 748–752. doi: 10.1016/j.sbspro.2010.07.178
Acharya, L., Jin, L., and Collins, W. (2018). College life is stressful today – emerging stressors and depressive symptoms in college students. J. Am. Coll. Health 66, 655–664. doi: 10.1080/07448481.2018.1451869
Adair, K. C., Kennedy, L. A., and Sexton, J. B. (2020). Three good tools: positively reflecting backwards and forwards is associated with robust improvements in well-being across three distinct interventions. J. Positive Psychol. 15, 613–622. doi: 10.1080/17439760.2020.1789707
Allan, B. A., Steger, M. F., and Shin, J. Y. (2013). Thanks? Gratitude and well-being over the Thanksgiving holiday among college students. J. Positive Psychol. 8, 91–102. doi: 10.1080/17439760.2013.776623
American College Health Association (2021). American College Health Association - National College Health Assessment III: Reference Group Report Fall 2021. Available online at: https://www.acha.org/NCHA/ACHA-NCHA_Data/Publications_and_Reports/NCHA/Data/Reports_ACHA-NCHAIII.aspx [Accessed March 2, 2022].
Bandura, A. (1993). Perceived self-efficacy in cognitive development and functioning. Educ. Psychol. 28, 117–148. doi: 10.1207/s15326985ep2802_3
Bandura, A. (2000). “Cultivate self-efficacy for personal and organizational effectiveness,” in The Blackwell Handbook Of Principles Of Organizational Behavior, ed. E. A. Locke (Oxford: Blackwell), 120–136.
Bandura, A., and Locke, E. (2003). Negative self-efficacy and goal effects revisited. J. Appl. Psychol. 88, 87–99. doi: 10.1037/0021-9010.88.1.87
Bolier, L., Haverman, M., Westerhof, G. J., Riper, H., Smit, F., and Bohlmeijer, E. (2013). Positive psychology interventions: a meta-analysis of randomized controlled studies. BMC Public Health 13:119. doi: 10.1186/1471-2458-13-119
Brunstein, J. C. (1993). Personal goals and subjective well-being: a longitudinal study. J. Pers. Soc. Psychol. 65, 1061–1070. doi: 10.1037/0022-3514.65.5.1061
Cao, W., Fang, Z., Hou, G., Han, M., Xu, X., Dong, J., et al. (2020). The psychological impact of the COVID-19 epidemic on college students in China. Psychiatry Res. 287:112934. doi: 10.1016/j.psychres.2020.112934
Chadwick, S. (2014). Impacts Of Cyberbullying, Building Social And Emotional Resilience In Schools. Berlin: Springer Science and Business Media.
Charles, N. E., Strong, S. J., Burns, L. C., Bullerjahn, M. R., and Serafine, K. M. (2021). Increased mood disorder symptoms, perceived stress, and alcohol use among college students during the COVID-19 pandemic. Psychiatry Res. 296:113706. doi: 10.1016/j.psychres.2021.113706
Chi, X., Becker, B., Yu, Q., Willeit, P., Jiao, C., Huang, L., et al. (2020). Prevalence and psychosocial correlates of mental health outcomes among Chinese college students during the Coronavirus disease (COVID-19) pandemic. Front. Psychiatry 11:803. doi: 10.3389/fpsyt.2020.00803
Chmitorz, A., Wenzel, M., Stieglitz, R. D., Kunzler, A., Bagusat, C., and Helmreich, I. (2018). German version of the brief resilience scale. PLoS One 13:e0192761. doi: 10.1371/journal.pone.0192761.s001
Çivitci, A. (2015). Perceived stress and life satisfaction in college students: belonging and extracurricular participation as moderators. Proc. Soc. Behav. Sci. 205, 271–281.
Cohen, G. L., Garcia, J., Apfel, N., and Master, A. (2006). Reducing the racial achievement gap: a social-psychological intervention. Science 313, 1307–1310. doi: 10.1126/science.1128317
Cohen, G. L., Garcia, J., Purdie-Vaughns, V., Apfel, N., and Brzustoski, P. (2009). Recursive processes in self-affirmation: intervening to close the minority achievement gap. Science 324, 400–403. doi: 10.1126/science.1170769
Cohn, M. A., and Fredrickson, B. L. (2010). In search of durable positive psychology interventions: predictors and consequences of long-term positive behavior change. J. Positive Psychol. 5, 355–366. doi: 10.1080/17439760.2010.508883
Cohn, M. A., Fredrickson, B. L., Brown, S. L., Mikels, J. A., and Conway, A. M. (2009). Happiness unpacked: positive emotions increase life satisfaction by building resilience. Emotion 9:361. doi: 10.1037/a0015952
Cooper, B., Eva, N., Fazlelahi, F. Z., Newman, A., Lee, A., and Obschonka, M. (2020). Common method variance in vocational behavior research: reviewing the state of the literature. J. Vocat. Behavior. 121, 103472.
Creswell, J. D., Welch, W., Taylor, S. E., Sherman, D. K., Gruenewald, T., and Mann, T. (2005). Affirmation of personal values buffers neuroendocrine and psychological stress responses. Psychol. Sci. 16, 846–851. doi: 10.1111/j.1467-9280.2005.01624.x
Datu, J. A. D. (2013). Forgiveness, gratitude and subjective well-being among Filipino adolescents. Int. J. Adv. Couns. 36, 262–273. doi: 10.1007/s10447-013-9205-9
Davidson, J. L., Jacobson, C., Lyth, A., Dedekorkut-Howes, A., Baldwin, C. L., Ellison, J. C., et al. (2016). Interrogating resilience: toward a typology to improve its operationalization. Ecol. Soc. 21:27. doi: 10.5751/es-08450-210227
Donaldson, S. I., Cabrera, V., and Gaffaney, J. (2021). Following the science to generate well-being: using the highest-quality experimental evidence to design interventions. Front. Psychol. 12:739352. doi: 10.3389/fpsyg.2021.739352
Donaldson, S. I., Lee, J. Y., and Donaldson, S. I. (2019). Evaluating positive psychology interventions at work: a systematic review and meta-analysis. Int. J. Appl. Positive Psychol. 4, 113–134. doi: 10.1007/s41042-019-00021-8
Eid, M., Gollwitzer, M., and Schmitt, M. (2017). Statistik und Forschungsmethoden, 5th Edn. Weinheim: Beltz
Elliot, A. J., Chirkov, V. I., Kim, Y., and Sheldon, K. M. (2001). A cross-cultural analysis of avoidance (relative to approach) personal goals. Psychol. Sci. 12, 505–510. doi: 10.1111/1467-9280.00393
Emmons, R. A., and Diener, E. (1986). A goal–affect analysis of everyday situational choices. J. Res. Pers. 20, 309–326. doi: 10.1016/0092-6566(86)90137-6
Emmons, R. A., and McCullough, M. E. (2003). Counting blessings versus burdens: an experimental investigation of gratitude and subjective well-being in daily life. J. Pers. Soc. Psychol. 84, 377–389. doi: 10.1037/0022-3514.84.2.377
Faul, F., Erdfelder, E., Lang, A. G., and Buchner, A. (2007). G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav. Res. Methods 39, 175–191. doi: 10.3758/bf03193146
Flammer, A. (2015). “Self-Efficacy,” in International Encyclopedia of the Social and Behavioral Sciences, 2nd Edn, ed. J. Wright (Amsterdam: Elsevier), 504–508. doi: 10.1016/B0-08-043076-7/04690-8
Fletcher, D., and Sarkar, M. (2013). Psychological resilience. Eur. Psychol. 18, 12–23. doi: 10.1027/1016-9040/a000124
Folkman, S. (2008). The case for positive emotions in the stress process. Anxiety Stress Coping 21, 3–14. doi: 10.1080/10615800701740457
Fredrickson, B. L. (2001). The role of positive emotions in positive psychology: the broaden-and-build theory of positive emotions. Am. Psychol. 56:218. doi: 10.1037/0003-066X.56.3.218
Fredrickson, B. L., and Joiner, T. (2002). Positive emotions trigger upward spirals toward emotional well-being. Psychol. Sci. 13, 172–175. doi: 10.1111/1467-9280.00431
Fredrickson, B. L., Cohn, M. A., Coffey, K. A., Pek, J., and Finkel, S. M. (2008). Open hearts build lives: positive emotions, induced through loving-kindness meditation, build consequential personal resources. J. Pers. Soc. Psychol. 95, 1045–1062. doi: 10.1037/a0013262
Froh, J. J., Sefick, W. J., and Emmons, R. A. (2008). Counting blessings in early adolescents: an experimental study of gratitude and subjective well-being. J. Sch. Psychol. 46, 213–233. doi: 10.1016/j.jsp.2007.03.005
Gallagher, M. W., Long, L. J., and Phillips, C. A. (2020). Hope, optimism, self-efficacy, and posttraumatic stress disorder: a meta-analytic review of the protective effects of positive expectancies. J. Clin. Psychol. 76, 329–355. doi: 10.1002/jclp.22882
Garett, R., Liu, S., and Young, S. D. (2017). A longitudinal analysis of stress among incoming college freshmen. J. Am. Coll. Health 65, 331–338. doi: 10.1080/07448481.2017.1312413
Grissom, R., and Kim, J. (2012). Effect Sizes For Research: Univariate And Multivariate Applications. Abingdon: Routledge, doi: 10.4324/9780203803233
Guo, Y.-F., Lam, L., Plummer, V., Cross, W., and Zhang, J.-P. (2020). A WeChat-based “Three Good Things” positive psychotherapy for the improvement of job performance and self-efficacy in nurses with burnout symptoms: a randomized controlled trial. J. Nurs. Manage. 28, 480–487. doi: 10.1111/jonm.12927
Hoffman, S. G., Grossman, P., and Hinton, D. E. (2011). Loving-kindness and compassion meditation: potential for psychological interventions. Clin. Psychol. Rev. 31, 1126–1132. doi: 10.1016/j.cpr.2011.07.003
Howell, A. J. (2017). Self-affirmation theory and the science of well-being. J. Happiness Stud. 18, 293–311. doi: 10.1007/s10902-016-9713-5
Hu, L., and Bentler, P. (1999). Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct. Equ. Modeling 6, 1–55. doi: 10.1080/10705519909540118
Huppert, F. A., and So, T. T. C. (2013). Flourishing across europe: application of a new conceptual framework for defining well-being. Soc. Indic. Res. 110, 837–861. doi: 10.1007/s11205-011-9966-7
Jones, A. L. (1998). Random acts of kindness: a teaching tool for positive deviance. Teach. Sociol. 26, 179–189. doi: 10.2307/1318831
Karakowsky, L., and Mann, S. L. (2008). Setting goals and taking ownership: understanding the implications of participatively set goals from a causal attribution perspective. J. Leadersh. Org. Stud. 14, 260–270. doi: 10.1177/1071791907308047
Kaufmann, I., Pornschlegel, H., and Udris, I. (1982). “Arbeitsbelastung und Beanspruchung,” in Belastungen Und Stress Bei Der Arbeit, ed. L. Zimmermann (Reinbek: Rowohlt), 13–48.
Kearney, M. W. (2017). “Cross-lagged panel analysis,” in The SAGE Encyclopedia of Communication Research Methods, ed. M. R. Allen (Thousand Oaks, CA: Sage), 312–314.
Keye, M. D., and Pidgeon, A. M. (2013). Investigation of the relationship between resilience, mindfulness, and academic self-efficacy. Open J. Soc. Sci. 1, 1–4. doi: 10.4236/jss.2013.16001
Keyes, C. L., and Grzywacz, J. G. (2005). Health as a complete state: the added value in work performance and healthcare costs. J. Occup. Environ. Med. 47, 523–532. doi: 10.1097/01.jom.0000161737.21198.3a
Keyes, C. L., Shmotkin, D., and Ryff, C. D. (2002). Optimizing well-being: the empirical encounter of two traditions. J. Pers. Soc. Psychol. 82:1007. doi: 10.1037/0022-3514.82.6.1007
Klein, J. P., Gerlinger, G., Knaevelsrud, C., Bohus, M., Meisenzahl, E., Kersting, A., et al. (2016). Internetbasierte interventionen in der behandlung psychischer störungen. Der Nervenarzt 87, 1185–1193. doi: 10.1007/s00115-016-0217-7
Krohne, H. W., Egloff, B., Kohlmann, C. W., and Tausch, A. (1996). Untersuchungen mit einer deutschen version der “positive and negative affect schedule” (PANAS). Diagnostic 42, 139–156.
Latham, G. P., and Seijts, G. H. (1999). The effects of proximal and distal goals on performance on a moderately complex task. J. Org. Behav. 20, 421–429.
Layous, K., Chancellor, J., and Lyubomirsky, S. (2014). Positive activities as protective factors against mental health conditions. J. Abnormal Psychol. 123, 3–12. doi: 10.1037/a0034709
Lazarus, R. S., and Folkman, S. (1984). Stress, Appraisal, And Coping. New York, NY: Springer Publishing Company.
Lee, B., O’Brien, J., and Sivaramakrishnan, K. (2008). An analysis of financial analysts’ optimism in long-term growth forecasts. J. Behav. Finance 9, 171–184. doi: 10.1080/15427560802341889
Locke, E. A., Shaw, K. N., Saari, L. M., and Latham, G. P. (1981). Goal setting and task performance: 1969–1980. Psychol. Bull. 90:125. doi: 10.1037/0033-2909.90.1.125
Luszczynska, A., Scholz, U., and Schwarzer, R. (2005). The general self-efficacy scale: multicultural validation studies. J. Psychol. 139, 439–457. doi: 10.3200/JRLP.139.5.439-457
Luthans, F. (2002). The need for and meaning of positive organizational behavior. J. Org. Behav. 23, 695–706. doi: 10.1002/job.165
Luthans, F., Youssef, C. M., and Avolio, B. J. (2007). Psychological capital: investing and developing positive organizational behavior. Positive Org. Behav. 1, 9–24. doi: 10.1111/j.1744-6570.2007.00083.x
Luthans, F., Youssef, C. M., and Avolio, B. J. (2015). Psychological Capital And Beyond. New York, NY: Oxford University Press.
Lyubomirsky, S. (2008). Glücklich Sein: Warum Sie Es In Der Hand Haben, Zufrieden Zu Leben. Frankfurt: Campus Verlag.
Lyubomirsky, S., and Layous, K. (2013). How do simple positive activities increase well-being? Curr. Dir. Psychol. Sci. 22, 57–62. doi: 10.1177/0963721412469809
Martínez-Martí, M. L., Avia, M. D., and Hernández-Lloreda, M. J. (2010). The effects of counting blessings on subjective well-being: a gratitude intervention in a Spanish sample. Spanish J. Psychol.. 13, 886–896. doi: 10.1017/S1138741600002535
Masten, A. S., Cutuli, J., Herbers, J. E., and Reed, M. (2009). “Resilience in development,” in The Oxford Handbook Of Positive Psychology, 2nd Edn, eds S. J. Lopez and C. R. Snyder (New York, NY: Oxford University Press), 117–131.
Matheny, K. B., Roque Tovar, B. E., and Curlette, W. L. (2008). Perceived stress, coping resources, and life satisfaction among US and Mexican college students: a cross-cultural study. Anales Psicol. 24, 49–57.
McCarthy, P. J., Jones, M. V., Harwood, C. G., and Davenport, L. (2010). Using goal setting to enhance positive affect among junior multi event athletes. J. Clin. Sport Psychol. 4, 53–68. doi: 10.1123/jcsp.4.1.53
McCraty, R., Atkinson, M., and Tomasino, D. (2003). Impact of a workplace stress reduction program on blood pressure and emotional health in hypertensive employees. J. Altern. Complement. Med. 9:355. doi: 10.1089/107555303765551589
McCullough, M. E., Emmons, R. A., and Tsang, J. (2002). The grateful disposition: a conceptual and empirical topography. J. Pers. Soc. Psychol. 82, 112–127. doi: 10.1037/0022-3514.82.1.112
Montero-Marin, J., Tops, M., Manzanera, R., Piva Demarzo, M. M., ÁLvarez De Mon, M., and García-Campayo, J. (2015). Mindfulness, resilience, and burnout subtypes in primary care physicians: the possible mediating role of positive and negative affect. Front. Psychol. 6:1895. doi: 10.3389/fpsyg.2015.01895
Montross, L. P., Depp, C., Daly, J., Reichstadt, J., Golshan, S., Moore, D., et al. (2006). Correlates of self-rated successful aging among community-dwelling older adults. Am. J. Geriatric Psychiatry 14, 43–51. doi: 10.1097/01.JGP.0000192489.43179.31
Moskowitz, J. T., Cheung, E. O., Freedman, M., Fernando, C., Zhang, M. W., Huffman, J. C., et al. (2021). Measuring positive emotion outcomes in positive psychology interventions: a literature review. Emot. Rev. 13, 60–73. doi: 10.1177/1754073920950811
Nelson, S. K., and Lyubomirsky, S. (2014). “Finding happiness: tailoring positive activities for optimal well-being benefits,” in Handbook of Positive Emotions, eds M. Tugade, M. Shiota, and L. Kirby (New York, NY: Guilford), 275–293.
Nelson, S. K., Fuller, J. A., Choi, I., and Lyubomirsky, S. (2014). Beyond self-protection: Self-affirmation benefits hedonic and eudaimonic well-being. Pers. Soc. Psychol. Bull. 40, 998–1011. doi: 10.1177/0146167214533389
Niemiec, T., and Lachowicz-Tabaczek, K. (2015). The moderating role of specific self-efficacy in the impact of positive mood on cognitive performance. Motiv. Emot. 39, 498–505. doi: 10.1007/s11031-014-9469-3
O’Connor, D. B., Thayer, J. F., and Vedhara, K. (2021). Stress and health: a review of psychobiological processes. Annu. Rev. Psychol. 72, 663–688. doi: 10.1146/annurev-psych-062520-122331
Otake, K., Shimai, S., Tanaka-Matsumi, J., Otsui, K., and Fredrickson, B. L. (2006). Happy people become happier through kindness: a counting kindnesses intervention. J. Happiness Stud. 7, 361–375. doi: 10.1007/s10902-005-3650-z
Pace, V. L. (2010). Method variance from the perspectives of reviewers: poorly understood problem or overemphasized complaint? Org. Res. Methods 13, 421–434. doi: 10.1177/1094428109351751
Proyer, R. T., Gander, F., Wellenzohn, S., and Ruch, W. (2015). Strengths-based positive psychology interventions: a randomized placebo-controlled online trial on long-term effects for a signature strengths- vs. a lesser strengths-intervention. Front. Psychol. 6:456. doi: 10.3389/fpsyg.2015.00456
Rash, J. A., Matsuba, K. M., and Prkachin, K. M. (2011). Gratitude and well-being: who benefits most from a gratitude intervention. Appl. Psychol. Health Well Being 3, 350–369. doi: 10.1111/j.1758-0854.2011.01058.x
Regehr, C., Glancy, D., and Pitts, A. (2013). Interventions to reduce stress in university students: a review and meta-analysis. J. Affect. Disord. 148, 1–11. doi: 10.1016/j.jad.2012.11.026
Rosseel, Y. (2012). lavaan: an R package for structural equation modeling. J. Stat. Softw. 48, 1–36. doi: 10.18637/jss.v048.i02
Rowe, G., Hirsh, J. B., and Anderson, A. K. (2007). Positive affect increases the breadth of attentional selection. Proc. Natl. Acad. Sci. U.S.A. 104, 383–388. doi: 10.1073/pnas.0605198104
Rusbult, C. E., Agnew, C., and Arriaga, X. (2011). The Investment Model of Commitment Processes. Department of Psychological Sciences Faculty Publications Paper 26. Available online at: http://docs.lib.purdue.edu/psychpubs/26 (accessed February 26, 2022).
Ryff, C. D. (1989). Happiness is everything, or is it? Explorations on the meaning of psychological well-being. J. Pers. Soc. Psychol. 57:1069. doi: 10.1037/0022-3514.57.6.1069
Schneider, E. E., Schönfelder, S., Domke-Wolf, M., and Wessa, M. (2020). Measuring stress in clinical and nonclinical subjects using a German adaptation of the Perceived Stress Scale. Int. J. Clin. Health Psychol. 20, 173–181. doi: 10.1016/j.ijchp.2020.03.004
Schönfeld, P., Brailovskaia, J., Bieda, A., Zhang, X. C., and Margraf, J. (2016). The effects of daily stress on positive and negative mental health: mediation through self-efficacy. Int. J. Clin. Health Psychol. 16, 1–10. doi: 10.1016/j.ijchp.2015.08.005
Schwarzer, R., and Jerusalem, M. (2010). The general self-efficacy scale (GSE). Anxiety Stress Coping. 12, 329–345.
Seligman, M. (2012). Flourish-Wie Menschen Aufblühen: Die Positive Psychologie Des Gelingenden Lebens. München: Kösel.
Seligman, M. E. P., Steen, T. A., Park, N., and Peterson, C. (2005). Positive psychology progress: empirical validation of interventions. Am. Psychol. 60, 410–421. doi: 10.1037/0003-066X.60.5.410
Sheldon, K. M., and Lyubomirsky, S. (2021). Revisiting the sustainable happiness model and pie chart: can happiness be successfully pursued? J. Positive Psychol. 16, 145–154. doi: 10.1080/17439760.2019.1689421
Sherman, D. K., and Cohen, G. L. (2006). “The psychology of self-defense: self-affirmation theory,” in Advances in Experimental Social Psychology, Vol. 38, ed. M. P. Zanna (San Diego, CA: Academic Press), 183–242.
Sherman, D. K., Bunyan, D. P., Creswell, J. D., and Jaremka, L. M. (2009). Psychological vulnerability and stress: the effects of self-affirmation on sympathetic nervous system responses to naturalistic stressors. Health Psychol. 28, 554–562. doi: 10.1037/a0014663
Sica, C., Drislane, L., Caudek, C., Angrilli, A., Bottesi, G., Cerea, S., et al. (2015). A test of the construct validity of the Triarchic Psychopathy Measure in an Italian community sample. Pers. Individ. Dif. 82, 163–168. doi: 10.1016/j.paid.2015.03.015
Sin, N. L., and Lyubomirsky, S. (2009). Enhancing well-being and alleviating depressive symptoms with positive psychology interventions: a practice-friendly meta-analysis. J. Clin. Psychol. 65, 467–487. doi: 10.1002/jclp.20593
Singh, P., and Bussey, K. (2011). Peer victimization and psychological maladjustment: the mediating role of coping self-efficacy. J. Res. Adolesc. 21, 420–433. doi: 10.1111/j.1532-7795.2010.00680.x
Smith, B. W., Dalen, J., Wiggins, K., Tooley, E., Christopher, P., and Bernard, J. (2008). The brief resilience scale: assessing the ability to bounce back. Int. J. Behav. Med. 15, 194–200. doi: 10.1080/10705500802222972
Smith, M. M., Saklofske, D. H., Keefer, K. V., and Tremblay, P. F. (2016). Coping strategies and psychological outcomes: the moderating effects of personal resiliency. J. Psychol. 150, 318–332. doi: 10.1080/00223980.2015.1036828
Snyder, C. R., and Lopez, S. J. (2002). “The future of positive psychology,” in The Oxford Handbook Of Positive Psychology, eds C. R. Snyder and S. J. Lopez (New York, NY: Oxford University Press), 751–767.
Steele, C. (1988). “The psychology of self-affirmation: sustaining the integrity of the self,” in Advances in Experimental Social Psychology, Vol. 21, ed. L. Berkowitz (San Diego, CA: Academic Press), 261–302. doi: 10.1016/S0065-2601(08)60229-4
Sun, R. R., Lu, L., Liu, M., Cao, Y., Li, X. C., Liu, H., et al. (2014). Biomarkers and heart disease. Eur. Rev. Med. Pharmacol. Sci. 18, 2927–2935.
Wang, X., Hegde, S., Son, C., Keller, B., Smith, A., and Sasangohar, F. (2020). Investigating mental health of US college students during the COVID-19 pandemic: cross-sectional survey study. J. Med. Internet Res. 22:e22817. doi: 10.2196/22817
Watkins, P. C., Woodward, K., Stone, T., and Kolts, R. L. (2003). Gratitude and happiness: development of a measure of gratitude and relationship with subjective well-being. Soc. Behav. Pers. 31, 431–452. doi: 10.2224/sbp.2003.31.5.431
Watson, D. (1988). Intraindividual and interindividual analyses of positive and negative affect: their relation to health complaints, perceived stress, and daily activities. J. Pers. Soc. Psychol. 54:1020. doi: 10.1037/0022-3514.54.6.1020
Watson, D., and Tellegen, A. (1985). Toward a consensual structure of mood. Psychol. Bull. 98:219. doi: 10.1037/0033-2909.98.2.219
Watson, D., and Tellegen, A. (1999). Issues in dimensional structure of affect—effects of descriptors, measurement error, and response formats: comment on russell and carroll (1999). Psychol. Bull. 125, 601–610. doi: 10.1037/0033-2909.125.5.601
Werdecker, L., and Esch, T. (2019). “Stress und gesundheit,” in Gesundheitswissenschaften, ed. R. Haring (Berlin: Springer), 347–359. doi: 10.1007/978-3-662-54179-1_33-1
Wiese, B. S., and Freund, A. M. (2005). Goal progress makes one happy, or does it? Longitudinal findings from the work domain. J. Occup. Org. Psychol. 78, 287–304. doi: 10.1348/096317905X26714
Wiley, J. F., Bei, B., Bower, J. E., and Stanton, A. L. (2017). Relationship of psychosocial resources with allostatic load: a systematic review. Psychosom. Med. 79:283. doi: 10.1097/PSY.0000000000000395
Wingo, A. P., Wrenn, G., Pelletier, T., Gutman, A. R., Bradley, B., and Ressler, K. J. (2010). Moderating effects of resilience on depression in individuals with a history of childhood abuse or trauma exposure. J. Affect. Disord. 126, 411–414. doi: 10.1016/j.jad.2010.04.009
Wood, A. M., Joseph, S., and Maltby, J. (2009). Gratitude predicts psychological well-being above the Big Five facets. Pers. Individ. Dif. 46, 443–447. doi: 10.1016/j.paid.2008.11.012
Keywords: positive psychology, intervention, randomized control group design, resilience, stress, longitudinal design, well-being, self-efficacy
Citation: Lorenz T, Algner M and Binder B (2022) A Positive Psychology Resource for Students? Evaluation of the Effectiveness of the 6 Minutes Diary in a Randomized Control Trial. Front. Psychol. 13:896741. doi: 10.3389/fpsyg.2022.896741
Received: 15 March 2022; Accepted: 10 May 2022;
Published: 31 May 2022.
Edited by:
Rebecca Shankland, Lumière University Lyon 2, FranceReviewed by:
Fabian Gander, University of Basel, SwitzerlandPulkit Khanna, O.P. Jindal Global University, India
Copyright © 2022 Lorenz, Algner and Binder. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Timo Lorenz, dGltby5sb3JlbnpAbWVkaWNhbHNjaG9vbC1iZXJsaW4uZGU=