Mental Health Exploration and Variables Associated with Young Health Professionals in Early Childhood Care Centers: A Systematic Review
Abstract
1. Introduction
2. Materials and Methods
2.1. Resources and Research Strategies
2.2. Eligibility Criteria
2.3. Study Selection Procedure
2.4. Data Analysis
2.5. Study Risk of Bias Assessment
3. Results
4. Discussion
4.1. Clinical Implications for Young Professionals in Early Childhood Care
4.2. Limitations
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Criteria | Inclusion | Exclusion |
---|---|---|
Date of publication | 2014–2024 | Before 2014 or after April 2024 |
Type of document | Quantitative research articles | Gray literature (websites, blogs) and review articles |
Research area | Healthcare, mental health professionals, and young mental health professionals | Non-healthcare areas |
Language | Articles in English and/or Spanish | Articles written in any language other than English and/or Spanish |
Article focus | Articles focused on analyzing the relationship between mental health and healthcare professionals and/or the relationship between protective variables and healthcare professional | Articles that do not aim to analyze the relationship between mental health and protective factors in health professionals |
Study | Selection | Comparability | Exposure | Total Quality Score |
---|---|---|---|---|
Alameddine [50] | 2 | 2 | 2 | 6 |
Alwhaibi [51] | 3 | 2 | 2 | 7 |
Alyahya and AboGazalah [52] | 3 | 2 | 2 | 7 |
Ayuso-Murillo [53] | 2 | 1 | 2 | 5 |
Delafontaine [54] | 3 | 2 | 2 | 7 |
Hunt [55] | 3 | 2 | 2 | 7 |
Jackson [56] | 2 | 1 | 2 | 5 |
Johnson [57] | 4 | 2 | 3 | 9 |
Maffoni [58] | 2 | 2 | 2 | 6 |
Mathebula [59] | 2 | 2 | 2 | 6 |
Ridremont [60] | 2 | 2 | 2 | 6 |
de Almeida [61] | 2 | 2 | 2 | 6 |
Weiss [62] | 2 | 2 | 2 | 6 |
Author(s) | Year | Variables Studied | Participants | Methodology | Instruments Used | Relevant Conclusions |
---|---|---|---|---|---|---|
Alameddine [50] | 2022 | Predictor: resilience; outcome: burnout, job satisfaction, turnover intention, workload, pay, perception of safety | Pharmacists | Quantitative | CD-RISC; CBI; ad hoc | Lower levels of resilience are associated with higher levels of burnout |
Alwhaibi [51] | 2022 | Correlational: depression, socio-demographic variables and burnout | Health professionals in hospital | Quantitative | PRIME-MD; MBI; ad hoc | Depression is characterized by burnout symptoms in the occupational setting. Interventions are needed to improve the mental health of healthcare professionals |
Alyahya and AboGazalah [52] | 2021 | Predictor: stress; outcome: social support, work role conflict, work role ambiguity, work overload | Health professionals in primary care centers | Quantitative | PSS; MSPSS; the role ambiguity and the role conflict measure | Social support is associated with stress |
Ayuso-Murillo [53] | 2020 | Correlational: empathy and anxiety | Nursing professionals in public hospitals | Quantitative | 16PF-5; ad hoc | Higher levels of anxiety negatively impact warmth, liveliness, social skills, and openness to change—symptoms that are closely associated with burnout |
Delafontaine [54] | 2024 | Predictors: personality variables, meaning at work; outcome: anxiety, depression, burnout, well-being | Oncology and palliative care health professionals | Quantitative | MBI-HSS; IPWW; HADS; RSE; MS; TIPI; CSDS | Burnout is considered a defense mechanism against suffering and experiences related to death, and is often regarded as the antithesis of empathy |
Hunt [55] | 2019 | Correlational: compassion satisfaction, secondary traumatic stress and burnout | Health professionals involved in the care of people with cancer | Quantitative | ProQOL-V; IRI; ad hoc | Higher stress levels are associated with increased burnout and secondary traumatic stress, leading to greater depression, reduced empathy, and poor communication |
Jackson [56] | 2024 | Predictors: anxiety, depression and resilience; outcome: burnout | Critical care health professionals | Quantitative | Mini-Z; PHQ-9; GAD-7; BRS-J; ad hoc | Resilience decreases with depressive and anxious symptoms. Strengthening resilience, teamwork, and safety reduces burnout |
Johnson [57] | 2015 | Predictor: resilience training program; outcome: depression, anxiety, perceived stress | Depressed health professionals | Quantitative | Intervention program | Enhancing resilience contributes to reduced depressive symptoms |
Maffoni [58] | 2022 | Predictor: resilience; outcome: well-being, professional self-efficacy, ethical vision of patient care, managerial support | Health professionals involved in neuro-rehabilitation or palliative care | Quantitative | CD-RISC; MASI-R; MBI; ad hoc | Resilience shows a positive association with well-being and self-efficacy, contributing to improved quality of care |
Mathebula [59] | 2022 | Correlational: second victim experience, stress, social support, self-efficacy, turnover intentions, absenteeism | Hospital professionals (including administrative staff) | Quantitative | SVEST | Professionals require active involvement from their supervisors. Adverse events are linked to decreased self-efficacy, increased turnover intentions, absenteeism, and stress symptoms |
Ridremont [60] | 2024 | Correlational: burnout, work rewards, coping strategies, socio-demographic variables, quality of patient care | Health professionals (medicine, nursing and auxiliary nursing) dedicated to child and adolescent cancer care. | Quantitative | PCSQ; WRS-PO; WCC-R; MBI; ad hoc | Professional profiles vary according to stress levels and work rewards, indirectly affecting the quality of patient care |
de Almeida [61] | 2023 | Correlational: resilience, social support, socio-demographic variables, working hours, overall health rating | Health professionals (medicine, nursing, psychology) | Quantitative and qualitative | Semi-structured interview; RSA; ad hoc | Social support benefits physical and mental health |
Weiss [62] | 2024 | Predictor: resilience; outcome: burnout, job performance | Pharmacy professionals | Quantitative | BRS; CBI; ad hoc | Resilience negatively predicts burnout |
Author (Year) | Country/Income Level | N 1 (Professional Profile) | Instruments | Estimators | Key Associations |
---|---|---|---|---|---|
Alameddine (2022) [50] | Lebanon/upper–middle-income | 459 (pharmacists) | CD-RISC; CBI; ad hoc | CD-RISC: M = 68 (SD = 13.37); MBI: M = 56.51 (SD = 16.68) | Lower levels of resilience are associated with higher levels of burnout (β = 0.489; 95% CI, 0.282–0.849, p = 0.011) |
Alwhaibi (2022) [51] | Saudi Arabia/high-income | 139 (health professionals in hospital) | PRIME-MD; MBI; ad hoc | MBI: EE 2 M = 31.60 (SD = 15.10); DP 3 M = 16.20 (SD = 9.70); PA 4 M = 31.50 (SD = 12.80); PRIME MD: depression (61.20%), non-depression (38.80%) | Participants with depression were significantly more likely to present high overall burnout compared to those without depression (20% vs. 16.90%; p < 0.001). |
Alyahya and AboGazalah (2021) [52] | Saudi Arabia/high-income | 275 (health professionals in primary care centers) | PSS; MSPSS | Not reported | Social support is negatively associated with stress (β = −0.15; 95% CI, −0.149–−0.032, p < 0.01) |
Ayuso-Murillo (2020) [53] | Spain/high-income | 197 (nursing professionals in public hospitals) | 16PF-5 | Anxiety: M = 6.38 (SD = 1.85); warmth: M = 5.58 (SD = 1.62); socially bold: M = 5.60 (SD = 1.74); open to change: M = 5.62 (SD = 1.40) | Anxiety is associated with warmth (t = 2.66, p > 0.0001), socially bold (t = −3.17, p < 0.001) and open to change (t = −5.81, p < 0.0001) |
Delafontaine (2024) [54] | Switzerland/high-income | 109 (oncology and palliative care health professionals) | MBI; CSDS; TIPI | Not reported | Burnout is associated with positive impact on patient relations (β = −0.22; 95% CI, −0.38–−0.06, p = 0.007) and agreeableness (β = −0.18% CI, −0.34–−0.01, p = 0.03) |
Hunt (2019) [55] | Ireland/high-income | 117 (health professionals involved in the care of people with cancer) | ProQOL-V; IRI | Not reported; Cronbach’s alpha: compassion satisfaction (0.88), personal distress (0.71), empathic concern (0.78) | Secondary traumatic stress is positively associated with empathic concern (r = 0.27, p < 0.006). Compassion satisfaction is negatively associated with personal distress (r = −0.37, p < 0.001) |
Jackson (2024) [56] | Japan/high-income | 936 (critical care health professionals) | Mini-Z; PHQ-9; GAD-7; BRS-J; ad hoc | Not reported | Depression (β = −0.32, 95% CI −0.41–−0.23) and anxiety (β = −0.20, 95% CI 0.29–0.10) decreased resilience |
Johnson (2015) [57] | United States/high-income | 40 (health professionals) | CESD-10 | Pre: CESD-10: M = 15.80 (SD = 5.01) | CESD-10 mean depression scores decreased 63% from 15.80 to 5.81 (p ≤ 0.01) in Resilience Training |
Maffoni (2022) [58] | Italy/high-income | 315 (health professionals involved in neuro-rehabilitation or palliative care) | CD-RISC; MASI-R; MBI; ad hoc | Not reported | Resilience is positively associated with ethical vision of patient care (β = 0.17, 95% CI 0.09–0.31, p < 0.05), well-being (β = 0.48, 95% CI 0.18–0.54) and professional self-efficacy (β = 0.54, 95% CI 0.39–0.65, p < 0.001) |
Mathebula (2022) [59] | South Africa/upper–middle-income | 181 (hospital professionals including administrative staff) | SVEST | Professional self-efficacy including administrative staff: M = 2.71 (SD = 0.94) | Adverse events affect professional self-efficacy (M = 2.51, SD = 0.98) |
Ridremont (2024) [60] | France/high-income | 262 (medicine, nursing and auxiliary nursing professionals dedicated to child and adolescent cancer care) | PCSQ | PCSQ: M = 10.30 (SD = 1.70) | Significant differences between profiles on total stress score (F = 22.05, p < 0.001), stress related to working conditions (W = 31.46, p < 0.001), stress related to relationships with patients and families (F = 4.25, p < 0.01), stress related to confrontation with suffering and death (F = 3.30, p < 0.01), and stress related to relationships with colleagues and superiors (F = 8.59, p < 0.001). |
de Almeida (2023) [61] | Portugal/high-income | 271 (medicine, nursing and psychology) | RSA | RSA: M = 178.17 (SD = 22.44) | Medical doctors and psychologists present the highest levels in total resilience (p = 0.018) |
Weiss (2024) [62] | United States/high-income | 942 (pharmacy professionals) | BRS; CBI | BRS: M = 3.60 (SD = 0.71); CBI: M = 3.22 (SD = 0.92) | Resilience significantly predicted both burnout (β = −0.701, p < 0.001) and job performance (β = 0.35, p < 0.001) |
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Gómez-Herrera, S.; Robles-Bello, M.A.; Sánchez-Teruel, D. Mental Health Exploration and Variables Associated with Young Health Professionals in Early Childhood Care Centers: A Systematic Review. Healthcare 2025, 13, 2354. https://doi.org/10.3390/healthcare13182354
Gómez-Herrera S, Robles-Bello MA, Sánchez-Teruel D. Mental Health Exploration and Variables Associated with Young Health Professionals in Early Childhood Care Centers: A Systematic Review. Healthcare. 2025; 13(18):2354. https://doi.org/10.3390/healthcare13182354
Chicago/Turabian StyleGómez-Herrera, Sofía, María Auxiliadora Robles-Bello, and David Sánchez-Teruel. 2025. "Mental Health Exploration and Variables Associated with Young Health Professionals in Early Childhood Care Centers: A Systematic Review" Healthcare 13, no. 18: 2354. https://doi.org/10.3390/healthcare13182354
APA StyleGómez-Herrera, S., Robles-Bello, M. A., & Sánchez-Teruel, D. (2025). Mental Health Exploration and Variables Associated with Young Health Professionals in Early Childhood Care Centers: A Systematic Review. Healthcare, 13(18), 2354. https://doi.org/10.3390/healthcare13182354