Introduction
Method
Eligibility Criteria
Search Strategy
Data Extraction
Authors, year, country | Study objectives | Sample characteristics | Design and statistics | Measure to evaluate religiosity | Measure to evaluate ER | Main findings |
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Aliche et al. (2020) (Nigeria) | Links between religious commitment, ER and social support | 210 inpatients (56% women); M age = 34.05. (SD = 10.36) | Cross-sectional—regression | The Religious Commitment Inventory | Emotion Regulation Questionnaire | Interpersonal commitment linked to more CR (r = 0.50, p < 0.001), less ES (r = −0.72, p < 0.01); intrapersonal commitment showed opposite trends (r = −0.40, p < 0.01 for CR and r = 0.43, p < 0.001 for ES) |
Dolcos et al. (2021) (USA) | Links between religious coping, ER, resilience and distress | 203 young adults (155 women); M age = 21.98 (SD = 4.75) | Cross-sectional—mediation | Brief COPE | Emotion Regulation Questionnaire | Religious coping linked to more CP (r = 0.25, p < 0.01), less ES (r = −0.14, p < 0.05); CR mediated effects on depression/anxiety |
Semplonius et al. (2015) (Canada) | Links between involvement in religious activities, ER and social ties | 1.132 students (70.5% female) Mage = 19.06 (SD = 0.93) | Longitudinal study | Demographic questions and The Spiritual Transcendence Index | Difficulties in Emotion Regulation Scale | Higher religious activity predicted less ER difficulty (β = −0.06, p < 0.05) consequently led to more social ties over time |
Wilken (2020) (USA) | ER strategies in Buddhist vs. Protestant | 88 Protestants; Mage = 21.31, SD = 4.59) and 59 Buddhists Mage = 23.69, SD = 7.48) | Cross-sectional study | Religious teachings on ER | Teaching on ER | Buddhists (M = 0.84, SE = 0.07) used non-influence strategies more often than Protestants (M = 0.46, SE = 0.10). F(1, 143) = 9.75, p = 0.002, partial η2 = 0.06. These were linked to fewer depressive symptoms in both samples |
Vishkin (2019a) (Israel) | Links between religiosity, ER, affect, and life satisfaction | 288 Jewish Israelis (51% female, Mage = 29.63) (Study 1); 277 Christians Americans (48% female, Mage = 34.74) (Study 2) | Cross-sectional—Mediation | Religiosity scale | Emotion Regulation Questionnaire | Religiosity linked to CR (both groups; r = 0.23, p < 0.05; r = 0.13, p < 0.05) and to ES (only Christians; r = −.19, p < .05); CR mediated outcomes in Christians but not Jews |
Holmes (2019) (Greece) | Links between religiousness, ER, and risk-taking | 167 adolescents (52% male); M = 14.13, SD = 0.54; 67.5% religion: Protestant 67.5%; Catholic 5%; Jewish 2.5% | Longitudinal—GLM | Religiousness scale | Emotion Regulation Checklist | Religiousness T1 correlated with better ER T2 (r = .22, p < .01); ER mediated the link between religiousness and lower risk-taking |
Vishkin (2019b) (Israel) | Links between religiosity and ER beliefs and motivations | United States, N = 210 (58.6% female, Mage = 40.64, SD = 11.99); Israel, N = 203 (52.7% female, Mage = 41.62, SD = 12.66); and Turkey, N = 203 participants (36.5% female, Mage = 34.45, SD = 10.56) | Cross-sectional—regression | Religious Commitment Inventory | Several measures | Religiosity linked to more CR (r = .13, p < .01), acceptance (r = .11, p < .01), less rumination (r = −0.09, p < 0.05), more ES (r = 0.08, p < 0.05), distraction (r = 0.17, p < 0.01). Links did not vary by sample or by dimension of religiosity (except for suppression) |
Vishkin (2016) (Israel) | Links between religiosity and ER | Muslim sample from Turkey (N = 270, 77% female, Mage = 20.97). Christian sample from America (N = 277, 48% female, Mage = 34.74) Jewish sample from Israel (N = 288, 51% female, Mage = 29.63) | Cross-sectional and experimental studies—Regression | Religious Commitment Inventory | Emotion Regulation Questionnaire | Religiosity positively linked to CR (r = 0.17, p < 0.01;r = 0.15, p < 0.05; r = 0.22, p < 0.01); Religiosity was not linked to ES in the Muslim and Jewish samples; but was negatively linked to ES in the Christian sample (r = −0.19, p < 0.01) |
Yadav (2018) (India) | Links between spirituality/religiousness, ER and cyber bullying | 490 university students – 61% male, aged between 18 and 25 years | Cross-sectional—mediation | Spirituality/Religiousness was measured with Spiritual well-being scale | Emotional Intelligence scale | Religiosity linked to better self-ER (range r = 0.30, p < 0.01 to r = 0.56, p < 0.01); ER mediated bullying outcomes |
Lee (2021) (USA) | Links between religiosity, ER and gried | 100 bereaved American college students (73 women). Mean age of 19.62 years (SD = 1.75). predominately Christian faith (n = 87) | Cross-sectional—moderation | The General Religiousness measure The Spiritual Transcendence Index The Brief COPE | Emotion Dysregulation. The Feeling Card | Religious students reported better emotional calm; Religiousness and spirituality correlated with emotion reactivity (r = −0.30, p < .01; r = −0.24, p < 0.05) but not with emotion recovery |
Burris (2020) (Canada) | Link between atheism and suppression | 1059 university students (722 women). 50% Christian, 30% agnostic or nonreligious, and 15% self-identified as atheist | Cross-sectional—ANOVAs | Self-reported religion | Emotion Regulation Questionnaire | Atheists (M = 4.05; SD = 1.25) more likely to use ES than religious individuals (M = 3.66; SD = 1.23) F (2, 1056) 8.11, p .001. No difference in CR |
Park (2016) (South Korea) | Links between intrinsic religiosity, ER, and meaning | 326 participants; 45% men; M age = 22.13 years (SD = 2.08). Most of the participants were Protestants (62.9%), followed by Catholics (24.5%) | Cross-sectional—SEM | Gorsuch and McPherson’s Revised Intrinsic and Extrinsic Religiosity Scale | Event Related Rumination Inventory. Difficulties in Emotional Regulation Scale | Intrinsic religiosity linked to deliberative rumination (r = 0.18,p < 0.01) but not ER; indirect effects on meaning via deliberate rumination |
Singh (2014) (India) | Links between religiosity, ER and well-being | 150 students (78 male); M age = 22.91; SD = 1.47) | Cross-sectional—Differential analyses | Universal Religious Orientation Scale | Cognitive Emotion Regulation Questionnaire | Highly religious individuals reported less ER dysfunctionality (M = 27.56) and higher functional ER (M = 31.01) than medium (M = 31.84/26.19) and low religious (M = 31.12/27.37). Post-hoc only between medium and low on both |
Akbari (2018) (Iran) | Liks between spiritual health, ER, and quality of life, psychological health, and burnout | 18 female and 113 male participants | Cross-sectional—Mediation | Spiritual Well-Being Scale | Emotion regulation—Difficulties in Emotion Regulation Scale | Spiritual health linked to lowe emotion dysregulation (r = 0.52, p < 001). ER partially mediated the link with quality of life; and fully mediated link to mental health and burnout |
Holmes (2016) (USA) | Links between religiousness, ER and health behaviors | 220 adolescents (121 males) Mage = 15.10, SD = 1.57). 70% Protestant, 11% Roman Catholic, 1% Jewish, 5% “none,” and 13% “other.” | Cross-sectional—SEM | Religious Behavior Scale adapted from Christian Religious Internalization Scale | Emotion Regulation Checklist | Higher identification predicted higher self-regulation (b = 0.09, p < 0.01) and higher introjection predicted lower self-regulation (b = −0.11, p < 0.001); ER mediated effect on health-risk behavior |