Submitted:
23 June 2025
Posted:
25 June 2025
You are already at the latest version
Abstract
Keywords:
1. Introduction
1.1. Overparenting and Offspring’s Mental Health
1.2. Potential Moderators of Associations Between Overparenting and Mental Health
1.3. The Present Study
2. Method
2.1. Search Procedure and Selection Steps
2.2. Coding of the Studies
2.3. Data Analysis
3. Results
3.1. Descriptive Statistics
3.2. Meta-Analysis of Overparenting and Indicators of Mental Health
4. Discussion
4.1. Associations Between Overparenting and Mental Health
4.2. Moderators of Associations Between Overparenting and Mental Health
4.4. Limitations and Future Directions
5. Conclusion
Supplementary Materials
References
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| First author and year | N | Country | Cultures | Design | Parental gender | Percent of female | Age group | Average age of offspring |
Informants |
| Ahmed (2023) | 71 | Maldives | NW | C | Both | 70% | adult | N/A | offspring |
| Borges (2019) | 187 | Portugal | N-A W | C | Both | 64.70% | adult | 21.20 | offspring |
| Carone (2022) | 76 | USA | W | L | Mother | 48.68% | adult | 25 | offspring |
| Chen (2022) | 623 | China | NW | C | Both | 45.75% | adolescent | 16.04 | Both |
| Cook (2020) | 637 | USA | W | C | Both | 67% | adult | 20.03 | offspring |
| Darlow (2017) | 294 | USA | W | C | Both | 81.97% | adult | 20.54 | offspring |
| Flower (2021) | 194 | USA | W | C | Both | 64.95% | adult | N/A | offspring |
| Gao (2023) | 418 | China | NW | L | Both | 80.1% | adult | 18.71 | offspring |
| Garcia (2022) | 173 | Portugal | N-A W | C | Both | 69.40% | adult | 23.08 | offspring |
| Hong (2018) | 305 | Korea | NW | C | Both | 100% | adult | 21.94 | offspring |
| Hong (2020) | 432 | USA | W | C | Both | 89.60% | adult | 20.21 | offspring |
| Hong (2023) | 414; 612 | USA; China | W; NW | C | Both | 92%; 69% | adult | 20.38; 20.21 | offspring |
| Howard (2022) | 460 | Canada | N-A W | C | Both | 43.91% | adult | 18.33 | offspring |
| Jiao (2021) | 213 pairs | USA | W | C | Both | 65.80% | adult | 20.63 | Both |
| Jiao (2022) | 412 | USA | W | L | Both | 60.40% | adult | 24.3 | Both |
| Jiao (2023) | 442 | USA | W | C | Both | 68.10% | adult | 20.28 | offspring |
| Jung (2020) | 215;171 | USA; Korea | W; NW | C | Mother | N/A | adult | 19.61; 21.95 | offspring |
| Kouros (2017) | 118 | USA | W | C | Both | 83.10% | adult | 19.82 | offspring |
| Kwon (2016) | 412 | USA | W | C | Both | 50.70% | adult | 21.28 | offspring |
| Lee (2018) | 562 | Korea | NW | C | Both | 47.86% | adult | 24.88 | offspring |
| Leung (2020) | 1735 | China | NW | C | Both | 47.40% | child | 12.63 | offspring |
| Leung (2021) | 1074 | China | NW | L | Both | 46.80% | adolescent | 12.66 | offspring |
| Love (2020) | 473 | USA | W | C | Both | N/A | adult | 19.78 | offspring |
| Love (2020) | 539 | USA | W | C | Both | 92.50% | adult | 20.18 | offspring |
| Moilanen (2019) | 302 | USA | W | C | Both | 64.90% | adult | 21.57 | offspring |
| Padilla-Walker (2021) | 458 | USA | W | L | Both | 51% | adult | 19 | offspring |
| Pautler (2017) | 87 | USA | W | C | Mother | 63% | adult | N/A | offspring |
| Perez (2019) | 313 | USA | W | C | Both | 82.40% | adult | 19.55 | Both |
| Perez (2020) | 360 | USA | W | C | Both | 83.60% | adult | 19.93 | offspring |
| Pistella (2020) | 602 | Italian | N-A W | C | Both | 59% | adolescent | 16.59 | offspring |
| Ratcliff (2020) | 158 | USA | W | C | Mother | 74.7% | adult | 20.28 | offspring |
| Reed (2016) | 461 | USA | W | C | Mother | 80.80% | adult | 19.66 | offspring |
| Rote (2020) | 282 | USA | W | C | Both | 71% | adult | 19.87 | offspring |
| Schiffrin (2014) | 297 | USA | W | C | Mother | 88% | adult | 19.34 | offspring |
| Schiffrin (2019) | 446 | USA | W | C | Both | 73.10% | adult | 19.59 | offspring |
| Segrin (2013) | 653 pairs | USA | W | C | Both | 81% | adult | 20.03 | Both |
| Segrin (2022) | 282;281 | USA; China | W; NW | C | Both | 62.1%;71.9% | adult | 20.67;19.83 | offspring |
| Seki (2023) | 402 | Turkey | NW | C | Both | 82.10% | adult | 21.31 | offspring |
| Stout (2023) | 120 | USA | W | C | Both | 59.20% | adult | N/A | offspring |
| Wang (2021) | 648 | China | NW | C | Both | 50.30% | adult | 21 | offspring |
| Wang (2023) | 2041 | China | NW | C | Both | 52.60% | adolescent | 14.11±2.42 | offspring |
| Wenze (2019) | 104 | USA | W | C | Mother | 77.88% | adult | 19.15 | offspring |
| Zienty (2018) | 156 | USA | W | C | Both | 71.15% | adult | N/A | offspring |
| Relationships | k | r | Heterogeneity Test | Publication Bias Test | |||||
| N | Q | df | I2 | Egger’s intercept | SE | 95%CI | |||
| depression | 65 | 31855 | 0.20 | 768.78 ** | 64 | 91.67% | -0.12 | 1.42 | [-2.97, 2.72] |
| anxiety | 34 | 37872 | 0.16 | 719.05** | 63 | 91.24% | 3.80 | 1.24 | [1.31, 6.28] |
| life satisfaction | 13 | 17293 | 0.09 | 315.83** | 35 | 90.05% | -5.03 | 2.98 | [-11.08, 1.02] |
| subjective well-being | 3 | 1687 | -.01 | 13.36 | 3 | 77.54% | -5.59 | 0.49 | [-7.68, -3.49] |
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