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Alternation of Love and Hate among Parents and Offspring: A Meta-Analysis of Overparenting and Mental Health

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23 June 2025

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25 June 2025

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Abstract
Despite overparenting being considered a critical factor associated with offspring’s mental health, the existing research on this topic has yielded inconsistent results. The current study aimed to examine the relationship between overparenting and various mental health outcomes, such as anxiety, depression, life satisfaction, and subjective well-being, through an analysis of effect size. Furthermore, potential moderators, including age, gender, information informants, study design, and cultural factors, were also examined. A total of 44 studies (N = 21,607) were identified in the meta-analysis, with 34 studies examining anxiety, 32 studies examining depression, 13 studies examining life satisfaction, and three studies examining subjective well-being. The results revealed a positive yet small association between overparenting and mental health indicators (ranxiety = .16, rdepression = .20, rlife satisfaction = .09, ps < .001), except for subjective well-being (rsubjective well-being = .09, p > .001). Moderator analyses showed that the high heterogeneity across studies was explained by culture, parents’ gender, and age group. These findings emphasize that overparenting is linked to mental health issues, particularly anxiety and depression. This study also suggests that heterogeneity should be considered for future clinical interventions and parenting-based educational programs.
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1. Introduction

Mental health disorders are a leading contributor to the global burden of disease, significantly impacting both mortality and daily functioning (WHO, 2022). As their prevalence continues to rise, research concerning the influencing factors of mental health disorders is also increasing (Wainberg et al., 2017). Among these, parenting practices—particularly overparenting—have garnered growing attention as a potentially significant influence on offspring’s mental health. A clearer understanding of this relationship is essential for informing effective prevention and intervention strategies.
Overparenting, also known as helicopter parenting, refers to excessive control, protection, and involvement in offspring’s lives, often motivated by parental concern for mental health (Segrin et al., 2012). While this parenting style may stem from good intentions, it can hinder children’s autonomy and psychological development, thereby compromising their mental health (Evans & Karl, 2022). Empirical studies have documented both negative and positive associations between overparenting and offspring’s mental health, mainly focused on the negative aspect of mental health, but the findings have been inconsistent. From a theoretical perspective, the Dual-Factor Model of Mental Health emphasizes the importance of examining both psychopathological symptoms (e.g., depression, anxiety) and positive indicators (e.g., life satisfaction, subjective well-being) to gain a more comprehensive understanding of mental health outcomes.
To clarify the nature of the association between overparenting and mental health, the present study conducts a meta-analysis examining the relationship between overparenting and four key indicators of mental health: anxiety, depression, life satisfaction, and subjective well-being. Drawing on a systematic review of existing literature, this meta-analysis also aims to generate evidence-based recommendations for family-based interventions targeting adolescent mental health. In doing so, the study offers a theoretical and empirical foundation for personalized clinical treatment strategies and more effective mental health promotion.

1.1. Overparenting and Offspring’s Mental Health

Overparenting—often referred to as helicopter parenting—describes a parenting style characterized by heightened control, overprotection, and intrusion, typically stemming from parental concern and love (Segrin et al., 2012; Evans & Karl, 2022). Despite these positive intentions, concerns have emerged regarding its potential impact on offspring’s development, particularly in terms of psychological well-being. As overparenting becomes increasingly prevalent in modern parenting cultures, understanding its implications for offspring’s mental health is critical (Padilla-Walker & Nelson, 2012; Leung & Shek, 2024).
Several empirical studies have found that overparenting is negatively associated with offspring’s mental health outcomes, such as elevated anxiety, depressive symptoms, and emotional distress (LeMoyne & Buchanan, 2011; Schiffrin et al., 2014; Reed et al., 2016; Darlow et al., 2017; Kouros et al., 2017). Theoretically, Self-Determination Theory (Ryan & Deci, 2000) posits that the satisfaction of basic psychological needs—such as autonomy, competence, and relatedness—is essential for mental health (Ryan & Deci, 2017). Overparenting may thwart autonomy by limiting children’s decision-making and problem-solving experiences. Similarly, Separation-Individuation Theory (Grotevant & Cooper, 1986) suggests that excessive parental control disrupts the normative process through which adolescents establish independence from their parents, thereby increasing their vulnerability to psychological distress (Ratcliff, 2020).
However, not all studies have found negative consequences of overparenting. Some evidence suggests that neutral or even beneficial effects on mental health may exist (Fingerman et al., 2012; Kwon et al., 2016; Lee & Kang, 2018). For example, research conducted in East Asian contexts has found that higher levels of parental involvement, even when perceived as overparenting, are associated with lower depressive symptoms and greater life satisfaction (Lee & Kang, 2018; Kwon et al., 2016). In these cultural contexts, parental overinvolvement may be interpreted as a form of familial support or interdependence rather than intrusion. Likewise, Fingerman et al. (2012) found that strong parent–child support under overparenting conditions was linked to improved well-being in adult children. These findings highlight the significance of cultural interpretations in influencing the psychological outcomes of parenting behaviors.
Despite the growing body of research on overparenting, existing reviews and meta-analyses have primarily focused on its negative psychological consequences, particularly internalizing problems (Zhang & Ji, 2023). Furthermore, the meta-analyses have excluded Chinese literature and have solely focused on negative indicators of mental health, overlooking positive indicators such as subjective well-being and life satisfaction. Notably, the Dual-Factor Model of Mental Health (Greenspoon & Saklofske, 2001) emphasizes the importance of assessing both negative (e.g., anxiety, depression) and positive (e.g., life satisfaction, well-being) indicators to fully understand mental health outcomes. Therefore, a systematic meta-analysis combining overparenting with positive and negative aspects of mental health needs to be further examined.

1.2. Potential Moderators of Associations Between Overparenting and Mental Health

Certain studies have suggested that overparenting negatively impacts mental health (LeMoyne & Buchanan, 2011; Schiffrin et al., 2014; Darlow et al., 2017; Kouros et al., 2017). Other researchers have proposed that overparenting may yield positive or neutral outcomes regarding mental health (Kwon et al., 2016; Padilla-Walker & Nelson, 2012; Segrin et al., 2012). Previous researchers have proposed that individual differences in moderating variables could influence the relationship between overparenting and mental health.
First, the gender of the offspring and parents has been proposed as a potential mediator in this relationship. For instance, studies have shown that paternal overparenting has a positive correlation with adolescents’ life satisfaction. Maternal overparenting positively correlates with adolescents’ anxiety and depression (Leung, 2020). Furthermore, high levels of overparenting have been linked to lower levels of happiness in women (Kouros et al., 2017). One study found that maternal helicopter parenting was associated with excessive interpersonal sensitivity in daughters and lower levels of interpersonal sensitivity in sons. In contrast, paternal helicopter parenting was associated with more negative outcomes, regardless of the child’s gender (Rousseau & Scharf, 2015). However, it remains unclear whether differences in child or parent gender impact the relation between overparenting and positive aspects of mental health, particularly the effect of child gender differences on overparenting and life satisfaction.
Second, the distinction between the individualistic culture predominant in the West and the collectivist culture prevalent in the East may lead to varying associations between overparenting and mental health, particularly in East Asia, where overparenting could be linked to both negative and positive mental health (Lee & Kang, 2018). A prior cross-cultural investigation found that overparenting is correlated with reduced subjective well-being among American and Chinese students (Hong, 2020). Some researchers have examined the relationship between overparenting and academic achievement among American and Korean college students, finding cultural differences in their findings (Jung et al., 2019, 2020). Therefore, further exploration is warranted to determine whether cultural background serves as a moderating factor in the relationship between overparenting and mental health.
Moreover, age group may significantly influence the relationship between overparenting and mental health. Leung pointed out that the age of children is one of the factors that influence overparenting (Leung, 2020). Most prior studies examining the associations between overparenting and mental health have focused on adults, particularly emerging adults (Cui et al., 2019; Ratcliff, 2020). In contrast, a few studies have been conducted on children or adolescents (Segrin et al., 2012; Cui et al., 2020). Consequently, it remains unclear whether age moderates the relationship between overparenting and mental health. This study primarily aims to explore potential differences in the effects of overparenting on children’s mental health across various age groups. Other moderating variables that warrant exploration in this study include the information provider and the study design.

1.3. The Present Study

The present meta-analysis systematically examines the relationship between overparenting and both negative (depression, anxiety) and positive (subjective well-being, life satisfaction) mental health outcomes. It also examines potential moderators, including offspring and parent gender, age, cultural background, and study design. Given the existing evidence and aims of the current study, we hypothesized that overparenting is linked with indicators of mental health, varied by the moderators mentioned. By integrating findings across diverse cultural contexts and methodological variations, this study aims to provide a more nuanced understanding of the impact of overparenting on offspring’s mental health and inform future intervention and prevention efforts.

2. Method

2.1. Search Procedure and Selection Steps

Search procedure. We identified relevant journal articles and academic papers across various electronic databases, including PsycINFO, PsycArticles, Scopus, Google Scholar, Web of Science, ProQuest, and Chinese databases such as CNKI and WanFang.
Studies published from 2003 to October 2023 were included in the literature search using Google Scholar, which included the top 100 articles deemed most relevant according to previous studies (Zhang & Ji, 2023). We used specific search terms as follows to search the title and abstract of the article: (overparenting* OR over-parenting* OR helicopter parenting* OR overinvolvement* OR overhelp* OR hyper-parenting* OR overprotect parenting* OR “intent* parent* OR hover* OR tiger parent* OR overcontrol* OR excessive parent* OR excessive involve* OR excessive assist* OR excessive help*) AND (mental health * OR depression * OR depression symptoms* OR anxiety* OR internalizing problems* OR life satisfaction* OR subjective well-being*).
Inclusion criteria. Articles were included if they:(a) assessed parental overparenting or helicopter parenting; (b) assessed mental health, including depressive symptoms, anxiety, life satisfaction, and subjective well-being; (c) full texts were sourced from peer-reviewed English journals and Chinese journals; (d) All participants were required to be healthy; (e) results indicate effect size indicators.
Selection steps. PRISMA flow diagram (see Figure 1) illustrating the study selection steps. A total of 3,779 articles were identified through database searches. After removing 1,171 duplicates, 2,608 articles were screened by title and abstract, which was conducted by two coders. Of these, 2,382 articles were excluded due to irrelevance. The full texts of 226 articles were reviewed for eligibility, and 182 were excluded for the following reasons: non-healthy samples (n = 5), non-quantitative design (n = 14), lack of measures of overparenting or mental health (n = 92), absence of effect size data (n = 12), duplication publications (n = 21), and inaccessible full texts (n = 37). Ultimately, 44 articles met the inclusion criteria and were included in the final analysis.

2.2. Coding of the Studies

Each study was coded using a detailed coding scheme. All studies included in the meta-analysis were identified with an asterisk in the references section. The specific coded information for each study included categorical variables such as country, offspring’s gender (male, female, or both), parental gender (father, mother, or both), informants of overparenting and mental health (offspring-report, parent-report), study design (cross-sectional or longitudinal), culture (non-Western, Western belonging to America, or Western but not America), age group (children, adolescents, or adults).

2.3. Data Analysis

The Pearson correlation coefficient (r) was used to examine the relationship between overparenting and mental health variables such as depression, anxiety, life satisfaction, and subjective well-being. Utilizing the Comprehensive Meta-Analysis software version 3.3, r values from reported test statistics were calculated. Subsequently, the Pearson correlation coefficient r was converted to Fisher’s z correlations, ensuring a normal distribution of the sample for further analysis. Finally, we converted the Fisher’s z correlations back to Pearson correlation coefficients r to represent our research results (Borenstein et al., 2021).
The data analysis comprised several key components, including heterogeneity testing of the meta-analysis, publication bias testing, main effect testing, moderating effect testing, and sensitivity analysis. Subgroup analysis was employed for categorical moderating variables. Given that our primary study was considered a random sample of the study population, a random-effects model was deemed appropriate for the meta-analysis (Hedges & Vevae, 1998). Publication bias can significantly impact the outcomes of meta-analysis; therefore, this study employed various methods to assess and address this bias. Funnel plots and Egger’s regression test were used to evaluate publication bias (Schulzke, 2021). In instances where studies exhibited a high risk of publication bias, the trim-and-fill method was employed for bias correction (Fernández-Castilla et al., 2021).

3. Results

3.1. Descriptive Statistics

A total of 44 studies were included in the current meta-analysis. Among these, 34 studies reported 64 effect sizes for the associations between overparenting and anxiety (N = 37,872; Mage = 17.61, SD = 3.56), with participants’ age ranging from 12.63 to 24.3 years. 32 studies provided 65 effect size for depression (N = 31,855; Mage = 20.98, SD = 2.97; age range = 12.63-24.88 years). 13 studies reported 36 effect size for life satisfaction (N = 17,293; Mage = 22.97, SD = 2.39; age range = 19.34-25 years), and three studies reported four effect size for subjective well-being (N = 1,687; Mage = 18.15, SD = 2.71; age range = 16.59-21.28 years). Most studies were conducted in the United States (49.45%) and employed a cross-sectional design (83.33%). On average, 65% of participants were female. Approximately 79.44% did not distinguish between maternal and paternal overparenting. Regarding the age groups, most studies (85.56%) included a sample of emerging adults, and 14.44% of studies used a sample of adolescents. Table 1 presents a detailed summary of study characteristics.

3.2. Meta-Analysis of Overparenting and Indicators of Mental Health

The overall effect size indicating the association between overparenting and depression was found to be significant (r = .20, 95% CI [.17, .24], p < .001), suggesting that a higher level of overparenting is linked with increased depression. Sensitivity analysis revealed that upon removal of any sample, the combined effect size fluctuated between 0.19 and 0.21, with no change in significance, indicating high stability in the estimated results of the meta-analysis. Examination of the funnel plot and the Egger test (p = .932) did not reveal any evidence of publication bias (see Table 2 and Supplemental Figure S1). Moderator analysis results, as presented in Supplemental Table S1, indicate no significant moderation effects of variables except for the age group, which yielded significant results (k = 65, r = .138, 95% CI [.114, .163], p < .001).
Results showed that a significant positive but minor effect of overparenting and anxiety was found (r = .16, 95% CI [.13, .19], p < .001), suggesting that a higher level of overparenting is associated with increased anxiety. Sensitivity analysis revealed high stability in the estimated results of the meta-analysis. Examination of the funnel plot (see Supplemental Figure S2) and the Egger test (p = .003) indicated publication bias. The trim-and-fill method was employed to address publication bias, resulting in the inclusion of 11 virtual studies. The combined effect size remained statistically insignificant, and no reversal was observed, indicating the robustness of the combined effect size (r = .19, 95%CI [.16, .23], p < .001). Moderator analyses showed that (see Supplemental Table S2) no significant moderation effects of all variables except for parental gender and offspring’s age group. Specifically, maternal overparenting showed a stronger link to anxiety than paternal or both. Age-group analysis revealed that the association was strongest in adults (r = 0.175, 95% CI [0.160, 0.189]), followed by adolescents’ overparenting (r = 0.113, 95% CI [0.099, 0.126]), highlighting age-related differences in the relationship between overparenting and anxiety.
The results showed a significant but small effect of overparenting on life satisfaction (r = .09, 95% CI [.038, .133], p < .001), with high stability of the result through sensitivity analysis and no publication bias (Egger test p = .100) (see Supplemental Figure S3). Moderator analysis showed that (see Supplemental Table S3) no significant effects of all variables. However, culture significantly moderated the relationship: non-Western cultural contexts showed a positive association (r = .15, 95% CI [.123, .174]), while Western, but not American, cultural contexts and the American context showed nonsignificant or negative associations. Additionally, the moderation test for offspring’s age yielded significant results, with a trend toward stronger associations in older age groups.
The meta-analysis found no significant association between overparenting and subjective well-being (r = -.01, 95% CI [-.122, .097], p > .001), with stable results through sensitivity analysis despite publication bias (Egger test, p = .007) (also see Supplemental Figure S4). The moderator analysis results, presented in Supplemental Table S4, revealed no significant effects for any of the variables.

4. Discussion

This meta-analysis systematically examined the association between overparenting and various mental health outcomes, including depression, anxiety, life satisfaction, and subjective well-being, based on studies published from 2003 to 2023. The findings suggest that overparenting is positively associated with both negative (depression, anxiety) and, to a lesser extent, positive (life satisfaction, subjective well-being) mental health indicators. Notably, age and culture emerged as significant moderators in these associations, offering new insights into the understanding of the relationship between overparenting and mental health, providing theoretical implications for parent-child relationships, and the intervention of mental health disorders.

4.1. Associations Between Overparenting and Mental Health

The current meta-analysis revealed a small but significant positive correlation between overparenting and various mental health indicators, including depression, anxiety, and life satisfaction. This finding aligns with prior studies conducted in East Asian contexts, such as South Korea, where overparenting is sometimes associated with favorable psychological outcomes (Lee & Kang, 2018; Urone et al., 2024). Despite its modest magnitude, this result contrasts with several U.S.-based studies that report detrimental effects of overparenting on mental health (Darlow et al., 2017), highlighting the nuanced and potentially culturally contingent nature of overparenting. These differences underscore the need to interpret overparenting not solely as a risk factor, but as a contextually embedded parenting behavior that may have both adaptive and maladaptive consequences.
Consistent with prior research, overparenting was significantly and positively associated with depressive symptoms (LeMoyne & Buchanan, 2011; Schiffrin et al., 2014; Darlow et al., 2017). This association may be attributed to the undermining of autonomy caused by excessive parental control, which can evoke feelings of helplessness and emotional distress (Filippello et al., 2018; Perez et al., 2020). Similarly, overparenting was positively correlated with anxiety, reinforcing findings from earlier studies (Jiao & Segrin, 2023). These results are theoretically supported by Self-Determination Theory (Ryan & Deci, 2017), which posits that autonomy, competence, and relatedness are essential for psychological well-being. When these needs are thwarted by intrusive parenting, children may experience elevated stress and anxiety. Interestingly, our findings contradict a recent meta-analysis that reported a negative association between overparenting and anxiety (Zhang & Ji, 2023), suggesting that more research is needed to clarify this inconsistency.
The relationship between overparenting and life satisfaction was also positive, though the effect size was small. This finding diverges from several U.S.-based studies, which report that overparenting diminishes life satisfaction (LeMoyne & Buchanan, 2011; Padilla-Walker & Nelson, 2012). However, it aligns with research conducted in collectivist cultures, where close parental involvement is more culturally accepted (Cheung & Pomerantz, 2015; Lee & Kang, 2018). In such settings, parental overinvolvement may be interpreted as warmth and support rather than intrusion, which can enhance psychological well-being. However, the association between overparenting and subjective well-being was found to be non-significant, which contrasts with prior research indicating a negative impact (Schiffrin et al., 2014; Kouros et al., 2017). This discrepancy may be due to limited sample size, measurement inconsistencies, or cross-cultural variation in the conceptualization of well-being. Future studies should explore these dimensions using more culturally sensitive and psychometrically robust tools.
In sum, the findings reveal a complex pattern in the relationship between overparenting and offspring mental health. While overparenting is associated with increased levels of depression and anxiety—possibly due to thwarted autonomy—it also appears to have a weak but positive association with life satisfaction, particularly in collectivist contexts. These mixed results highlight the importance of considering cultural context, developmental stage, and children’s subjective interpretations when evaluating the psychological impact of overparenting. Moreover, the non-significant findings regarding subjective well-being point to potential measurement issues or underexplored moderating variables. By adopting a dual-factor perspective, this study offers a more balanced and comprehensive understanding of mental health outcomes, laying the groundwork for future culturally informed intervention strategies.

4.2. Moderators of Associations Between Overparenting and Mental Health

The results of this meta-analysis indicate that multiple variables—including age group, cultural context, parental gender, study design and offspring’s gender—significantly moderate the association between overparenting and offspring mental health. These findings expand upon previous research and challenge prior meta-analyses that reported no significant moderation effects, particularly with respect to age group and culture (e.g., Zhang & Ji, 2023). The identification of these moderators highlights the need for more contextually informed approaches when examining the impact of overparenting.
Age group emerged as a significant moderator in the relationship between overparenting and both depression and anxiety. Contrary to previous meta-analyses reporting no age-related moderation (Zhang & Ji, 2023), our findings suggest that the psychological impact of overparenting becomes more pronounced with increasing age. This may reflect developmental shifts in autonomy needs: as children grow older, they increasingly seek independence (Szwedo et al., 2017), and intrusive parental behaviors may be more likely to generate psychological distress (Lim & Kim, 2025). These findings underscore the importance of implementing age-sensitive parenting strategies and interventions, particularly during adolescence and emerging adulthood, when autonomy is a developmentally salient aspect.
Parental gender also moderated the relationship between overparenting and psychological outcomes. Maternal overparenting was more strongly associated with offspring anxiety and depression than paternal overparenting, consistent with previous findings (Leung, 2020; Zhang & Ji, 2023). One possible explanation is that mothers tend to be more involved in day-to-day caregiving, which may increase both the frequency and salience of overparenting behaviors (Patock-Peckham & Morgan-Lopez, 2009). This heightened exposure could make children more sensitive to maternal overinvolvement, thereby amplifying its psychological effects.
Additionally, culture significantly moderates the association between overparenting and life satisfaction. Consistent with previous research, children raised in Eastern cultures, which emphasize filial piety, may perceive greater affection and warmth from their parents compared with those in Western cultures, which prioritize individualism (Lee & Kang, 2018).
In summary, the present meta-analysis identifies several key moderators—age group, culture, parental gender—that shape the relationship between overparenting and mental health outcomes. These moderators highlight the contextual variability of overparenting’s psychological consequences, emphasizing that its effects are not universally negative or positive, but instead depend on the developmental, cultural, and familial context. Understanding these moderators provides critical insights for tailoring parenting interventions and promoting culturally and developmentally appropriate mental health strategies.

4.4. Limitations and Future Directions

Despite its contributions, this study has limitations. First, the limited number of studies on subjective well-being and the exclusion of gray literature may limit the generalizability of the findings. Second, insufficient reporting on demographic variables weakens the robustness of moderation analysis. Third, the overreliance on self-reported measures may introduce recall bias. Future research should employ diverse methodologies, including observational and longitudinal designs, to better establish causality and reduce method bias. Finally, given the cultural differences in parenting norms and their implications for mental health, cross-cultural and dimensional studies on overparenting are needed to advance both theoretical and intervention efforts.

5. Conclusion

To our knowledge, the current study is the first systematic examination of overparenting and its positive and negative indicators of mental health. The findings revealed that overparenting has a double-edged sword impact on mental health, which depends on the offspring’s age, parental gender, and cultural background. This study broadens the scope of mental health indicators and provides a comprehensive understanding of the associations between overparenting and mental health. Additionally, the implications for promoting parenting-based interventional programs for mental health disorders in the future are supported.

Supplementary Materials

The following supporting information can be downloaded at the website of this paper posted on Preprints.org. Supplementary materials associated with this article can be found in the online version at https://osf.io/8ad4g/files/osfstorage

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Figure 1. The PRISMA flow chart was used to systematically review the relationship between overparenting and mental health.
Figure 1. The PRISMA flow chart was used to systematically review the relationship between overparenting and mental health.
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Table 1. Demographic characteristics of studies.
Table 1. Demographic characteristics of studies.
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
Note. C = cross-sectional; L = longitudinal. N/A = not available; W=Western belonging to America; NW=non-Western; N-A W= Western but not America.
Table 2. Results of heterogeneity and publication bias.
Table 2. Results of heterogeneity and publication bias.
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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