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Associations of Parenting Style and Resilience With Depression and Anxiety Symptoms in Chinese Middle School Students

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Background Parenting style and resilience are independently associated with symptoms of depression and anxiety. However, no study has tested the interaction effects between the patterns of parenting style and resilience on mental health in adolescent populations. Therefore, this study aimed to explore the interaction effects between the patterns of parenting style and resilience on depression/anxiety symptoms among middle school students in China. Methods A sample of 2,179 Chinese middle school students were included in this study. Latent profile analysis (LPA) was used to examine parenting style patterns. Multivariable logistic regression was used to analyze the associations of different parenting patterns and resilience with depression/anxiety symptoms, as well as the interaction effect. Results Latent profile analysis results showed that the most suitable model included three-profile solution, which were labeled as positive parenting, negative parenting, and moderate parenting. Subsequent analyses indicated that students across profiles exhibited significant differences in their depression/anxiety symptoms. Specifically, compared to moderate parenting, negative parenting was positively associated with depression/anxiety symptoms, while positive parenting was negatively associated with these symptoms. Moreover, low levels of resilience were positively associated with depression/anxiety symptoms compared to a high level of resilience. Although the interaction effect was not significant, there were differences in the associations between different parenting patterns and symptoms of depression and anxiety when stratifying resilience. Conclusion The present study identified three-profile solution of parenting styles among Chinese middle school students using LPA as a person-centered approach. Future interventions targeting depression/anxiety symptoms in adolescents may consider the potential influence of patterns of parenting styles, or improved resilience, to achieve better intervention outcomes.
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ORIGINAL RESEARCH
published: 01 July 2022
doi: 10.3389/fpsyg.2022.897339
Edited by:
Sara Giovagnoli,
University of Bologna, Italy
Reviewed by:
Manuela Cazzaro,
Università degli studi di Milano
Bicocca, Italy
Zhihua Li,
Hunan University of Science
and Technology, China
Michael Eid,
Freie Universität Berlin, Germany
*Correspondence:
Jun Wang
wangjun@ahmu.edu.cn
Hongbo Zhang
zhhongbo62@163.com
Specialty section:
This article was submitted to
Quantitative Psychology
and Measurement,
a section of the journal
Frontiers in Psychology
Received: 30 March 2022
Accepted: 14 June 2022
Published: 01 July 2022
Citation:
Qiu Z, Guo Y, Wang J and
Zhang H (2022) Associations
of Parenting Style and Resilience With
Depression and Anxiety Symptoms
in Chinese Middle School Students.
Front. Psychol. 13:897339.
doi: 10.3389/fpsyg.2022.897339
Associations of Parenting Style and
Resilience With Depression and
Anxiety Symptoms in Chinese Middle
School Students
Zhihai Qiu1, Ying Guo2, Jun Wang3,4*and Hongbo Zhang3*
1The School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China, 2Psychological Center
of Hefei No.1 High Senser School, Hefei, China, 3Department of Maternal, Child and Adolescent Health, School of Public
Health, Anhui Medical University, Hefei, China, 4MOE Key Laboratory of Population Health Across Life Cycle, Anhui
Provincial Key Laboratory of Population Health and Aristogenics, Hefei, China
Background: Parenting style and resilience are independently associated with
symptoms of depression and anxiety. However, no study has tested the interaction
effects between the patterns of parenting style and resilience on mental health in
adolescent populations. Therefore, this study aimed to explore the interaction effects
between the patterns of parenting style and resilience on depression/anxiety symptoms
among middle school students in China.
Methods: A sample of 2,179 Chinese middle school students were included in this
study. Latent profile analysis (LPA) was used to examine parenting style patterns.
Multivariable logistic regression was used to analyze the associations of different
parenting patterns and resilience with depression/anxiety symptoms, as well as the
interaction effect.
Results: Latent profile analysis results showed that the most suitable model included
three-profile solution, which were labeled as positive parenting, negative parenting,
and moderate parenting. Subsequent analyses indicated that students across profiles
exhibited significant differences in their depression/anxiety symptoms. Specifically,
compared to moderate parenting, negative parenting was positively associated with
depression/anxiety symptoms, while positive parenting was negatively associated
with these symptoms. Moreover, low levels of resilience were positively associated
with depression/anxiety symptoms compared to a high level of resilience. Although
the interaction effect was not significant, there were differences in the associations
between different parenting patterns and symptoms of depression and anxiety when
stratifying resilience.
Conclusion: The present study identified three-profile solution of parenting styles
among Chinese middle school students using LPA as a person-centered approach.
Future interventions targeting depression/anxiety symptoms in adolescents may
consider the potential influence of patterns of parenting styles, or improved resilience,
to achieve better intervention outcomes.
Keywords: parenting style, resilience, depression symptoms, anxiety symptoms, latent profile analysis (LPA)
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INTRODUCTION
Depression and anxiety are the most common
psychopathological symptoms in adolescents. Depression
symptoms manifest as persistent sadness, loss of interest,
fear of the future, and potential suicidality (Naab et al., 2015;
Wartberg et al., 2018). Anxiety is an emotion characterized
by feelings of tension, worried thoughts, and physical changes
such as increased blood pressure (Organization, 2013). While
adolescents are in the transition period from childhood to
adulthood, simultaneously experiencing great changes in
social roles and living environment means they are more
prone to depression, anxiety, and other adverse emotions.
The global prevalence of clinically elevated depressive/anxiety
symptoms among adolescents was approximately 25.2 and
20.5%, respectively. Furthermore, a survey completed by Chinese
high school students from 21 provinces and autonomous regions
revealed that the prevalence of depressive and anxiety symptoms
was 43.7 and 37.4% among students (Zhou et al., 2020).
Parenting style refers to the attitude, goals, and emotional
atmosphere that parents use to raise and educate their children,
which remain relatively stable in different situations (Darling
and Steinberg, 1993). Parental warmth and strictness have
been identified as the two main independent dimensions of
parenting style. From these, four parenting styles were identified:
authoritative (marked by high warmth and high strictness),
authoritarian (marked by low warmth and high strictness),
indulgent (marked by high warmth and low strictness), and
neglectful (marked by low warmth and low strictness) parenting
(Martinez et al., 2020). A systematic literature review showed
that (Gorostiaga et al., 2019) parental warmth, behavioral control,
and autonomy granting were inversely correlated with depressive
symptoms in adolescents, while parental psychological control
and severe control were positively related to depression/anxiety
symptoms. Romero-Acosta et al. (2021) found that compared
with those who experienced authoritative parenting, students
who experienced neglectful parenting styles generally had lower
symptoms of anxiety. Prior studies on parenting style have
mainly used variable-centered methods, which makes it difficult
to examine how the various factors that constitute parenting style
combine within individuals and affect children. In this regard,
it is necessary to examine parenting style by using latent profile
analysis (LPA) with a person-centered approach. A person-
centerd approach can provide more insight than a variable-
centerd approach into the parenting style of specific populations
with heterogeneous characteristics (Lee and Han, 2021).
In addition to the influence of parenting style on depressive
and anxiety symptoms in adolescents, resilience has also been
suggested as influential. For instance, previous research has
confirmed that higher levels of resilience are related to lower
levels of depressive symptoms in children and adolescents
(Wingo et al., 2010;Wu et al., 2017;Lee et al., 2021). Furthermore,
a three-wave cross-lagged design indicated (Lau, 2022) an
unstable reciprocal correlation between resilience and depression
over time and a stable reciprocal correlation between resilience
and anxiety symptoms.
According to the existing mental resilience model (Mandleco
and Peery, 2000), the factors affecting mental resilience can be
divided into internal factors and external factors. Internal factors
are biological factors (e.g., genetic) and psychological factors
(e.g., optimism and self-esteem), while external factors refer to
factors inside and outside the family (e.g., family functions and
social support). Among them, parenting style is an important
external factor. And adolescent mental health can be affected
by parenting style (Milevsky et al., 2007). Research on resilience
and parenting style has shown that authoritative parenting has a
significantly positive impact on resilience (Kritzas and Grobler,
2005;Zakeri et al., 2010). Therefore, based on previous surveys,
the following three hypotheses were proposed: (1) exploring
different patterns of parenting style by LPA; (2) parenting style
and resilience are independently correlated with anxiety and
depressive symptoms in Chinese adolescents; and (3) there are
interaction effects of parenting style and resilience on depressive
and anxiety symptoms.
MATERIALS AND METHODS
Participants
This was a cross-sectional study, and a cluster sampling design
was used to select the sample population from Hefei City, Anhui
Province during the period of September to October 2021. A total
of 2,936 senior high school students were recruited for this study
and 2,879 valid questionnaires were received (57 questionnaires
with missing values >15% were deleted). The efficacy rate was
98.06%. Of them, the mean age was 16.7 ±1.8 years, 63.4% were
boys (1,319) and 36.6% were girls (760).
This study was approved by the Ethics Committee of Anhui
Medical University. Informed consent was obtained from all
students, parents, and teachers before the survey.
Measures
Sociodemographic Data
Sociodemographic data were collected using an anonymous
questionnaire, which included gender, only child status,
registered residence, self-reported academic performance (poor,
medium, or good), and parents’ education level.
Parenting Styles
The Egma Minnen av Bardndosnauppforstran (EMBU) standard
edition, which was co-edited by Perris et al. (1980) of the
Psychiatry Department at Umea University in Sweden, was
used to evaluate parenting attitudes and behaviors. The Chinese
version of the EMBU, which was first introduced in 1993 (Li
et al., 2012). Paternal and maternal parenting styles comprise
58 and 57 items, respectively. It includes six subscales: parental
emotional warmth, parental rejection and denial, parental severe
punishment, parental excessive interference, parental favoring
subjects, and paternal over-protection. In this study, only child
accounted for 44.3% (921), so the subscale of parental favoring
subjects were excluded. Furthermore, except for paternal over-
protection, the other four sub-scales all include two dimensions
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of father and mother, respectively. In summary, there are nine
dimensions. Each item was adopted a 4-point Likert scale ranged
from 1 (never) to 4 (most of time), and entries were added
according to different dimensions. In this study, the Cronbach’s α
coefficients for paternal and maternal parenting styles were 0.813
and 0.807, respectively.
Depression Symptoms
The Center for Epidemiological Studies Depression Scale (CES-
D) is a widely used depressive symptom screening tool worldwide
(Radloff, 1977). Compared with other depression scales, this scale
focuses more on an individual’s emotional experiences and less on
the somatic symptoms of depression. The scale has a total of 20
items, and each item is rated on a 4-point Likert scale ranging
from 0 (rarely or none), 1 (some or a little), 2 (occasional or
moderate), and 3 (most or all of the time), of which four items on
positive affect were reverse-scored. Adolescents with depressive
symptoms were classified based on whether their total score was
20 (Huang et al., 2021;Sun et al., 2021). The overall Cronbach’s
alpha coefficient for the scale was 0.910.
Anxiety Symptoms
The Self-rating Anxiety Scale (SAS) is a 20-item retrospective
self-report questionnaire designed to detect symptoms related
to anxiety in the general population (Zung, 1971). Responses to
each question range from 1 (no or little time at all) to 4 (most
or all of the time), equating to a total scale raw score of 20–
80, then conversed to a index score with a potential range of
25–100. The index score is “derived by dividing the sum of the
values (raw scores) obtained on the 20 items by the maximum
possible score of 80, converted to a decimal and multiplied by
100” (Zung, 1971). The higher the standard score, the more
severe the symptom. Subsequently, 50 points were set as the cut-
off standard for anxiety symptoms (Zung, 1971;Huang et al.,
2021). In this study, Cronbach’s αcoefficient was 0.799.
Resilience
Resilience was measured using the Self-rating Resilience Scale
for Middle School Students (SRSMSS) compiled by Hu et al.
(2011). A total of 26 items were used, including six dimensions:
problem solving, cooperation and communication, self-efficacy,
goals and aspirations, self-awareness, and empathy. According
to the situation experienced by participants over the previous
two weeks, each option was scored on a scale of 1–5,
indicating “never, “occasionally, “sometimes, “often, and
“always”. Students in this study were categorized as having low
or high resilience, with P75 as the cutoff point. The SRSMSS has
high reliability and validity ( et al., 2013), and Cronbach’s α
coefficient was 0.931 in the present study.
Statistical Analysis
SPSS 23.0 was used for data processing and analysis, and
the inspection level was α= 0.05. First, we used χ2tests to
compare the associations between sociodemographic variables
and anxiety and depression symptoms. Second, in order to
identify parenting styles of different clustering patterns, Mplus
version 7.4 was utilized for LPA. Indicators for the primary
analysis included nine dimensions from the EMBU. The number
of latent classes was determined based on the commonly used
fit statistics of Akaike’s Information Criterion (AIC), Bayesian
Information Criterion (BIC), and sample-size adjusted BIC
(a-BIC); lower numbers indicated better model fit, as well
as the bootstrapped likelihood ratio test (BLRT), which is a
significance test for model improvement with the addition
of each potential class. Generally, a relative entropy >0.7
indicates that the model is in the acceptable range, and the
proportion of each classification group should be >5% of the
total population. Third, multivariable logistic regression was
used to analyze the associations of parenting style and resilience
with depressive and anxiety symptoms, controlling for gender,
only child status, registered residence, self-reported academic
performance, and parents’ education level. In examining the
association of resilience with depressive and anxiety symptoms,
we also used the thresholds of resilience score P67 and P90
for sensitivity analysis. Binary logistic regression was used to
analyze the relationship between the interaction of parenting style
and resilience with depressive and anxiety symptoms. Finally,
a stratified analysis of the relationship between parenting style
and anxiety as it relates to depression symptoms was conducted
according to the level of resilience.
RESULTS
Characteristics of Participants
As shown in Table 1, of 2,079 participants, 63.4% were boys and
the rates of depression/anxiety symptoms were 26.0% (541) and
13.4% (279), respectively. Depression/anxiety symptoms were
more common in girls and in rural areas (P<0.001). Rates
were highest among students with poor self-reported academic
performance (P<0.001). No statistically significant differences
in depression/anxiety symptoms were found in students who
were an “only child” or in fathers educational level (P>0.05).
Latent Profile Analysis of Parenting
Styles
Models with one to five profiles were tested in the LPA. The
three-profile solution was regarded as the most suitable based on
the indices (Table 2), which showed the high entropy (0.896),
p-values of LMR and BLRT test were significant. In addition,
the average posterior class membership probability scores were
acceptable among the groups (0.929–0.966; Supplementary
Table 1). Due to the lower AIC, BIC, and aBIC for the four-profile
solution, we also compared and analyzed it (Supplementary
Figure 1). The results showed that there were not much
distinction between profiles solution. Moreover, the proportion
of a profile group was 4.0% (<5%) of the total population,
it did not meet the selection requirements of the model.
Meanwhile, further stratified analysis showed that the sample
size of some groups was too small to obtain effective results.
Therefore, based on the above reasons and the principle of model
simplicity, we chose the three-profile solution for the suitable of
in the present study.
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TABLE 1 | Characteristics of participants by depression/anxiety symptoms.
Variable Total (N= 2079) Depression symptoms n(%) Anxiety symptoms n(%)
No Yes χ2No Yes χ2
Gender 5.33* 17.16**
Male 1319 (63.4) 998 (75.7) 321 (24.3) 1173 (88.9) 146 (11.1)
Female 760 (36.6) 540 (71.1) 220 (28.9) 627 (82.5) 133 (17.5)
Only child 0.55 0.11
Yes 921 (44.3) 674 (73.2) 247 (26.8) 800 (86.9) 121 (13.1)
No 1158 (55.7) 864 (74.6) 294 (25.4) 1000 (86.4) 158 (13.6)
Registered
residence
13.77** 11.06**
Rural 825 (39.7) 574 (69.6) 251 (30.4) 689 (83.5) 136 (16.5)
Urban 1254 (60.3) 964 (76.9) 290 (23.1) 1111 (88.6) 143 (11.4)
Self-reported academic performance 12.88* 11.55*
Good 228 (11.0) 163 (71.5) 65 (28.5) 191 (83.8) 37 (16.2)
Medium 1731 (83.3) 1302 (75.2) 429 (24.8) 1516 (87.6) 215 (12.4)
Poor 120 (5.8) 73 (60.8) 47 (39.2) 93 (77.5) 27 (22.5)
Father’s education level 3.11 4.13
Primary or
below
85 (4.1) 60 (70.6) 25 (29.4) 70 (82.4) 15 (17.6)
Junior middle
school
599 (28.8) 431 (72.0) 168 (28.0) 512 (85.5) 87 (14.5)
Senior middle
school
515 (24.8) 381 (74.0) 134 (26.0) 442 (85.8) 73 (14.2)
College or
above
880 (42.3) 666 (75.7) 214 (24.3) 776 (88.2) 104 (11.8)
Mother’s education level 10.44* 3.32
Primary or
below
188 (9.0) 145 (77.1) 43 (22.9) 165 (87.8) 23 (12.2)
Junior middle
school
655 (31.5) 455 (69.5) 200 (30.5) 554 (84.6) 101 (15.4)
Senior middle
school
524 (25.2) 401 (76.5) 123 (23.5) 459 (87.6) 65 (12.4)
College or
above
712 (34.2) 537 (75.4) 175 (24.6) 622 (87.4) 90 (12.6)
*P <0.05. **P <0.001.
TABLE 2 | Fitting information was analyzed by latent categories of parenting styles.
Profiles df AIC BIC aBIC Entropy LMR BLRT Profile probability
1 18 115,441.750 115,543.263
2 28 109,155.840 109,313.750 109,224.791 0.926 <0.001 <0.001 74.80/25.20
3 38 107,232.838 107,447.165 107,326.435 0.896 0.041 <0.001 58.87/31.99/9.22
4 48 106,382.317 106,653.019 106,500.519 0.888 0.022 <0.001 30.54/12.17/53.3/3.99
5 58 105,739.617 106,066.716 105,882.445 0.849 0.344 <0.001 41.08/18.33/16.26/20.30/4.04
df, degrees of freedom; AIC, Akaike Information Criteria; BIC, Bayesian Information Criteria; aBIC, Adjusted Bayesian Information Criteria; LMR, Lo-Mendell-Rubin
Likelihood Ratio; BLRT, Bootstrapped Likelihood Ratio Tests.
Figure 1 shows the three parenting profiles. profile 1
showed a high level of parental emotional warmth and was
labeled as “positive parenting” (58.6%). In contrast, profile 2
was characterized by a high probability of severe punishment,
excessive interference, rejection and denial, and overprotection,
thus we labeled it as “negative parenting” (9.2%). Meanwhile,
profile 3 consisted of a moderate probability across nine
dimensions of parenting styles, which was labeled as “moderate
parenting” (32.2%).
Patterns of Parenting Styles and
Resilience With Depression/Anxiety
Symptoms
Table 3 shows the association of the three profiles of parenting
styles and resilience with depression/anxiety symptoms. After
adjusting for sociodemographic characteristics (gender, only
child status, registered residence, self-reported academic
performance, and parents’ education level), compared with
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FIGURE 1 | Plot of 3 latent profiles of parenting styles. P1 = paternal emotional warmth; M1 = maternal emotional warmth; P2 = paternal severe punishment;
M2 = maternal severe punishment; P3 = paternal excessive interference; M3 = maternal excessive interference; P4 = paternal rejection and denial; M4 = maternal
rejection and denial; P5 = paternal over protection.
TABLE 3 | Association of parenting style and resilience with depression/anxiety symptoms in adolescents.
Variable Total (N= 2079) Depression symptoms Anxiety symptoms
n(%) Crude OR (95% CI) Adjusted OR (95% CI)an(%) Crude OR (95% CI) Adjusted OR (95% CI)a
Parenting style
Positive parenting 1,224 (58.9) 194 (15.8) 0.32 (0.25–0.39)** 0.30 (0.24–0.37)** 91 (7.4) 0.34 (0.25–0.45)** 0.32 (0.24–0.43)**
Negative parenting 190 (9.1) 98 (51.6) 1.78 (1.29–2.46)* 1.82 (1.30–2.53)** 60 (31.6) 1.94 (1.35–2.78)** 2.01 (1.38–2.92)**
Moderate parenting 665 (32.0) 249 (37.4) 1.00 1.00 128 (19.2) 1.00 1.00
Resilience
Low 1549 (74.5) 504 (32.5) 6.43 (4.53–9.13)** 6.74 (4.78–9.61)** 245 (15.8) 2.74 (1.88–3.98)** 2.80 (1.92–4.09)**
High 530 (22.5) 37 (7.0) 1.00 1.00 34 (6.4) 1.00 1.00
aAdjusted for gender, only child, registered residence, self-reported academic performance, parents’ education level. *P <0.05. *P <0.001.
the “moderate parenting” pattern, logistics regression analysis
showed that the “negative parenting” pattern was positively
associated with depression symptoms (OR = 1.82, 95%CI:
1.30–2.53) and anxiety symptoms (OR = 2.01, 95%CI: 1.38–2.92).
Conversely, the “positive parenting” pattern was negatively
associated with depression symptoms (OR = 0.30, 95%CI:
0.24–0.37) and anxiety symptoms (OR = 0.32, 95%CI: 0.24–0.43).
With a high level of resilience (P75) as the control group, a
low level of resilience was positively associated with depression
(OR = 6.74, 95%CI: 4.73–9.61) and anxiety symptoms (OR = 2.80,
95%CI: 1.92–4.09). Across different gender subgroups, the above
association results were similar (Supplementary Tables 2,3).
Using the thresholds of resilience score P67 and P90 for
separate data analysis, we found that the associations of
different level of resilience and depression/anxiety symptoms
(Supplementary Table 4) were similar to those found with P75
(Table 3).
The patterns of parenting style and resilience were highly
correlated in the present study (Supplementary Table 5).
However, there were no interaction effects between parenting
style and resilience on depression/anxiety symptoms in the
total sample (Supplementary Table 6). Table 4 shows the
stratified data analysis by resilience group level. A significant
association of depression symptoms (C1: OR = 0.34, 95%CI:
0.27–0.43; C2: OR = 1.79, 95%CI: 1.25–2.58) and anxiety
symptoms (C1: OR = 0.36, 95%CI: 0.26–0.50; C2: OR = 1.96,
95%CI: 1.32–2.92) with the patterns of parenting styles
was seen in adolescents with low levels of resilience. At a
high level of resilience, the “positive parenting” pattern was
negatively associated with depressive symptoms (OR = 0.39,
95%CI: 0.18–0.83) and anxiety symptoms (OR = 0.28,
95%CI: 0.13–0.62), and there was no significant association
of “negative parenting” patterns with depressive symptoms and
anxiety symptoms.
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TABLE 4 | Association of parenting style with depression/anxiety symptoms by different level of resilience.
Parenting style Depression symptoms Anxiety symptoms
n(%) Crude OR (95% CI) Adjusted OR (95% CI)an(%) Crude OR (95% CI) Adjusted OR (95% CI)a
Low
Positive parenting 175 (21.0) 0.36 (0.28–0.45)** 0.34 (0.27–0.43)** 75 (9.0) 0.38 (0.27–0.51)** 0.36 (0.26–0.50)**
Negative parenting 93 (57.1) 1.78 (1.25–2.53)* 1.79 (1.25–2.58)* 55 (33.7) 1.94 (1.32–2.84)* 1.96 (1.32–2.92)*
Moderate parenting 236 (42.8) 1.00 1.00 115 (20.8) 1.00 1.00
High
Positive parenting 19 (4.9) 0.39 (0.19–0.83)* 0.39 (0.18–0.83)* 16 (4.1) 0.33 (0.15–0.71)* 0.28 (0.13–0.62)*
Negative parenting 5 (18.5) 1.75 (0.57–5.41) 1.75 (0.53–5.72) 5 (18.5) 1.75 (0.57–5.41) 1.99 (0.60–6.61)
Moderate parenting 13 (11.5) 1.00 1.00 13 (11.5) 1.00 1.00
aAdjusted for gender, only child, registered residence, self-reported academic performance, parents’ education level. *P <0.05. **P <0.001.
DISCUSSION
This study examined the effects of parenting style patterns and
resilience on depression/anxiety symptoms among adolescents.
Results revealed that diverse profilees of parenting styles
with different resilience levels have various relationships with
depression/anxiety. However, we found no interaction between
parenting style, resilience, depression, and anxiety symptoms
among adolescents.
In the current study, we found that the prevalence of
depression/anxiety symptoms among adolescents was 26.0 and
13.4%, respectively, which was lower than that reported by Zhou
et al. (2020) (43.7 and 37.4%, respectively). Severval studies
indicated that the prevalence of depressive/anxiety symptoms
among adolescents in China may be higher than in other
countries (Denda et al., 2006;Liu and Lu, 2012;Polanczyk et al.,
2015;Murshid, 2017). It may be explained by the following
reasons. First, Chinese teenagers are burdened with homework,
high academic pressure and little physical activity, which may
increase the risk of depressive/anxiety symptoms (Tepper et al.,
2008). Second, the difference in prevalence of depression/anxiety
symptoms may be associated with the different scales, evaluation
criteria, and the different ages of the study populations (Wang
et al., 2016;Rao et al., 2019). Third, the level of economic
development in different regions, interpersonal relationships,
and specific cultural factors in different regions could have
contributed to the difference in results (Tang et al., 2019;Wang
S. et al., 2019;Wang Y. Y. et al., 2019).
In the real world, parenting styles are not limited to a single
form, and each parenting style is an integrated combination of
behaviors. Thus, in this study, LPA was used to classify parenting
styles into three profiles: “positive parenting” (58.6%), “negative
parenting” (9.2%) and “moderate parenting” (32.2%). Similarly,
a Chinese study conducted by Wu et al. (2016) labeled parenting
styles as “positive parenting, “negative parenting, and “mixed
parenting”. These results differed from the comprehensive
model of parenting styles used in other studies. For example,
Ayón et al. (2015) investigated different parenting styles and
labeled four profiles as “family parenting, “child-centered
parenting, “moderate parenting, and “disciplinarian parenting.”
The reason for the difference in results may be that these
studies were conducted in different cultural contexts and used
different parenting style questionnaires. In summary, parenting
styles may not be limited to one form, which suggests that
different cultural backgrounds and different questionnaires
for the comprehensive model of parenting styles can be
further explored.
This study revealed that, compared with the “moderate
parenting” profile, the “positive parenting” and the “negative
parenting” profiles were both related to depression/anxiety
symptoms among adolescents, while positive parenting was
a protective factor for depression/anxiety. Wang et al. (2021)
identified four parenting styles through LPA as: the “care-
autonomy” profile, “overprotection indifference” profile,
“indifference” profile, and “undifferentiated parenting” profile.
These results suggested that the risk of depression/anxiety
symptoms among adolescents was lower in the “care-
autonomy” profile, while the risk of depression was higher in
the “indifference parenting” profile than in the “undifferentiated
parenting” profile. A cross-sectional study (Eun et al., 2018)
showed that different types of parenting styles were associated
with depression/anxiety symptoms among adolescents, while
“high maternal control” style was related to greater odds of
depression/anxiety.
Simultaneously, this study found that resilience was related to
depression/anxiety symptoms among adolescents. The resilience
protection model suggested that resilience had a buffer effect on
the negative effects of adversity on adolescents, and the higher the
resilience score was, the lower the risk of negative consequences
(Brookmeyer et al., 2005). It indicated that resilience may
be a factor influencing depression/anxiety symptoms among
adolescents. Skrove et al. (2013) demonstrated this, and also
showed that resilience is a protective factor against adolescent
depression/anxiety symptoms. A cohort study examined the
impact of resilience on depression symptoms among left-
behind children in China, and found that baseline resilience
was related to follow-up depressive symptoms among children
(Wu et al., 2017). These results were consistent with those of
the current study.
At present, there are few studies on the relationship between
parenting style, resilience, and depression/anxiety symptoms
among adolescents. Similar studies have explored the correlation
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Qiu et al. Depression and Anxiety Symptoms
mediating effect of negative life events, resilience, and depressive
symptoms in Chinese adolescents, and found that resilience was
negatively associated with depression symptoms; among these,
resilience partially mediated the impact of negative life events
on depressive symptoms in Chinese adolescents (Liu et al.,
2019). Anyan et al. (Anyan and Hjemdal, 2016) investigated
the effect of stress on the relationship between resilience and
anxiety/depression symptoms among adolescents. They found
that resilience was inversely related to anxiety and depression
symptoms, with resilience playing a partial mediating role
between stress and anxiety/depression symptoms. In this study,
we found no association between parenting style, resilience,
depression, and anxiety symptoms among adolescents. The above
studies indirectly suggest that different types of parenting styles
may affect adolescent depression/anxiety symptoms through
resilience, but given the limited research results, it remains to
be seen whether the relevant theoretical hypotheses are valid and
can be verified.
STRENGTH AND LIMITATIONS
This study used more advanced statistical analysis (LPA)
to identify the different patterns of parenting styles, and
subsequently evaluate the relationship between patterns of
parenting styles, resilience, and depression/anxiety symptoms
among middle school students. The research ideas are novel
and provide a reference for the promotion of adolescent mental
health. However, this study has some limitations. First, this was a
cross-sectional study; thus, we were unable to establish a causal
relationship between variables, and cohort studies should be
conducted to further explore these relationships. Second, the
research object was limited to senior high school students in Hefei
City. The sample size of the survey was small and extrapolation
of the conclusions was limited. Future research with a larger
cohort may wish to explore stability and transition patterns across
parenting styles. Finally, our study questionnaire was completed
subjectively by participants; thus, there may have been some
recall bias. Therefore, combined with the EMBU child and parent
versions (Mathieu et al., 2020), this study aimed to understand
how depression/anxiety symptoms may be affected differently
across these two reporting types.
CONCLUSION
This study identified three profiles of parenting style practiced
on Chinese adolescents using a LPA approach. Simultaneously,
we investigated the influence of different parenting patterns and
resilience on depression/anxiety symptoms among adolescents
and their interaction effects. Future studies on exporting the risk
and protective factors of depression/anxiety symptoms should
consider the potential influence of different patterns of parenting
styles and levels of resilience.
DATA AVAILABILITY STATEMENT
The raw data supporting the conclusions of this article will be
made available by the authors, without undue reservation.
ETHICS STATEMENT
The studies involving human participants were reviewed and
approved by Ethics Committee of Anhui Medical University.
Written informed consent to participate in this study was
provided by the participants or their legal guardian/next of kin.
AUTHOR CONTRIBUTIONS
ZQ reviewed the topic related literature and drafted the first
version of manuscript. ZQ and YG performed the study design,
coordination, and data collection and worked on data analysis.
JW involved in interpretation of the data and revision of the
manuscript. HZ performed the study design and carried out study
supervision and revision of the manuscript. All authors checked
interpreted results and approved the final version.
FUNDING
Funding for the project was provided by Humanities and
Social Science research project of Anhui Universities in 2018
(SK2018A0159). The funders had no role in study design,
data collection and analysis, decision to publish, or preparation
of the manuscript.
ACKNOWLEDGMENTS
We would like to thank the action teams, staff, and students
involved in the senior school survey for their assistance in
gathering information.
SUPPLEMENTARY MATERIAL
The Supplementary Material for this article can be found
online at: https://www.frontiersin.org/articles/10.3389/fpsyg.
2022.897339/full#supplementary-material
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Objectives: Parenting can potentially influence the psychological well-being of children, making a prominent behavioral impact on children's mental and psychological state. The current study investigated the impact of different parenting styles on the adolescents' mental health and quality of life. Methods: The sample comprised students of Chinese universities who shared their experiences about the parenting they faced in their childhood. The data was collected through a pre-designed questionnaire developed with the aid of previous studies. Simple Hierarchal regression analysis was used to analyze the data. Results: The results disclosed that different parenting styles have different outcomes on children psychological well-being. In this myriad, the authoritative and authoritarian parenting styles showed more prominent and significant results than permissive ones. In this domain, the socio-economic status was insignificant. Conclusion: The study shed light on novel aspects by sharing the viewpoint of mature students and implying to the literature that even in such grown up age, parenting styles prevail and can make an impact on children.
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Background Depression is a common mental disorder, and prior research has primarily focused on changes in depression among college students based on single psychological factors (such as personality traits or social support); there is currently a lack of research on predicting changes in depression based on multiple factors. We observed changes in symptoms of depression among college freshmen after enrollment and applied machine learning (ML) methods to longitudinally and comprehensively investigate personality traits, family factors, and social factors as determinants of changes in depression among college students. Methods We studied 5,534 college freshmen and measured personality traits, family factors, social factors, and other variables of college students twice. We used four ML algorithms—random forest (RF), support vector machines (SVM), logistic regression (LR), and k-nearest neighbors (KNN)—to predict changes in depression among college students. Results The ML algorithms demonstrated reasonable performance in the prediction task, with the non-linear kernel SVM performing the best (averaging 95% accuracy). Additionally, we found that neuroticism, positive coping, psychoticism, extraversion, and maternal autonomy were the most influential features in our study for classifier prediction. Conclusions Our results suggest that applying ML methods to study changes in depression among college students may be feasible, as personality traits appear to predict changes in depression among college students and may be suitable for screening for prevention interventions.
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Objective: The present study aimed to examine the interactive associations between physical activity and mental health literacy with anxiety and depressive symptoms in Chinese college students. Methods: A cross-sectional study was conducted from May to July 2020. A total of 7,512 students were recruited from two medical colleges in Hefei and Anqing city in Anhui Province, China. Physical activity, mental health literacy, anxiety and depressive symptoms were measured by self-reported validated instruments. Analyses were conducted with logistic regression models. Results: The prevalence of anxiety and depressive symptoms was 8.6% and 16.4%, respectively. Insufficient physical activity was significantly associated with depressive symptoms (OR = 1.359, 95%CI 1.184–1.561) and anxiety symptoms (OR = 1.492, 95%CI: 1.237–1.799). Inadequate mental health literacy was significantly associated with depressive symptoms (OR = 3.089, 95%CI: 2.607–3.662) and anxiety symptoms (OR = 3.675, 95%CI: 2.861–4.721). Low physical activity rank (OR = 1.438, 95%CI: 1.151–1.798) was significantly related with depressive symptoms but not anxiety symptoms. The students who had inadequate mental health literacy and insufficient physical activity had the highest risks of depressive symptoms (OR = 5.049, 95% CI: 3.649–6.987) and anxiety symptoms (OR = 5.270, 95% CI: 3.338–8.321). Conclusion: These finding indicated that Chinese college students having insufficient physical activity and inadequate mental health literacy are at risk of exhibiting anxiety and depressive symptoms. Early intervention programs for college students with mental health problems should be considered to enhance their mental health literacy and to increase their physical activities.
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One of the effective factors in shaping and growth of resilience is style of parent-child relationship. The present study investigated the relationship between the parenting styles and resilience. Three-hundred-fifty Shiraz University students (235 females and 115 males) were participants of the study. Steinberg's Parenting Styles Scale (2005) and Canner-Davidson Resilience Scale (CD-RISC) were used as measures of the study. Simultaneous multiple regression of CD-RISC total score on the parenting styles subscales, revealed that the "acceptance-involvement" style was significant positive predictor of the resilience, whereas the "psychological autonomy-granting" and "behavioral strictness-supervision" styles didn't had a significant predict power for the resilience.
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Background Parenting styles play a critical role in children’s development, especially for those in families with a depressed parent. To date, no study has explored whether youth perceptions of parenting style are heterogeneous in families with a depressed parent or whether heterogeneous parenting styles are associated with children’s internalizing symptoms. Methods Participants were children aged 8–16 years who had a parent with major depressive disorder; they were enrolled through their parents, who were outpatients at two hospitals in Ningxia. Parenting styles were measured using the Parental Bonding Instrument. Youth depression and anxiety were measured using the Depression Self-Rating Scale for Children and the Screen for Child Anxiety-Related Emotional Disorders, respectively. We applied latent profile analysis to identify the subtypes of parenting styles with similar patterns. Differences between subtypes in relation to demographic variables and parenting style scores were calculated using one-way ANOVAs, Wilcoxon rank sum tests, and chi-squared tests. Bivariate logistic analyses were conducted to examine the associations between parental bonding subtypes and children’s depression and anxiety. Results Four parenting styles were identified through latent profile analysis: care-autonomy, overprotection-indifference, indifference, and undifferentiated parenting. Youth with care-autonomy parents had a lower risk of depression (OR: 0.16; 95% CI: 0.06–0.41) and anxiety (OR: 0.22; 95% CI: 0.10–0.48), while indifference parenting increased children’s risk of depression (OR: 5.29; 95% CI: 1.30–21.54) more than undifferentiated parenting. Conclusions Children with a depressed parent had heterogeneous perceptions of parenting styles. Mothers’ and fathers’ parenting styles were largely congruent. Care-autonomy parenting (high care and high autonomy) may decrease children’s risk of depression, whereas indifference parenting (low care and autonomy) may increase their risk of depression.
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Objective: To analyse the possible direct and interactive associations of sex, age and parenting styles with symptoms of depression and anxiety. Methods: In this cross-sectional study, 710 students ranging from 8 to 13 years (mean age 10.8 years [ 0.75]), the most of them males (n = 422, 59.4%), completed three screening instruments: a parenting practices scale and two self-reports for evaluating anxiety and depressive symptoms. Two hierarchical multiple regression analyses were performed. Results: Authoritative (38.6%) and neglectful (38%) parenting styles were predominant. Symptoms of depression -F (3, 706) = 3.12, p = .03- and anxiety -F (3, 706) = 2.83, p = .4- differed by parenting styles. Students with a neglectful parenting style reported significant lower generalized anxiety symptoms than those whose parents used authoritative parenting. Clinical implications: Children ages 8 to 13 years-old with authoritative parenting style should be evaluated for possible presence of generalized anxiety symptoms.
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This study aimed to classify the latent class of parenting attitude for parents with preschool children and school-age children, identify the pattern of transition in the type of parenting attitude over time, and determine the influencing factors associated with the transition. A total of 1462 households were the subjects of this longitudinal study that used latent profile analysis, latent transition analysis, and logistic regression analysis. The parenting attitude in the preschool year was classified into a model of three latent classes of ‘parent uninvolved’, ‘maternal authoritative and paternal authoritarian’, and ‘maternal authoritarian and paternal authoritative’, and the parenting attitude in the school year was classified into a model of four latent classes of ‘parent weak uninvolved’, ‘parent strong uninvolved’, parent authoritative’, and ‘maternal authoritarian and paternal authoritative.’ All latent class subjects with preschool children showed an attitude transition to maternal authoritarian and paternal authoritative when their children were in school years. It was confirmed that a mother’s depression and father’s parenting stress were the most influential factors in the parenting attitude transition. This study lay in identifying the patterns of parenting attitude and the transition in attitude according to the developmental stage of children.
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Background Exploring etiological clues to adolescent depression, especially in female adolescents, might be helpful to improve the social environment of female adolescents. The aim at this study is to explore psycho-social factors of female adolescents with high depressive symptomatology and gender differences in depressive symptoms among Chinese adolescents. Method We examined 4100 adolescents from Wuhan city and Jianli county via a cross-sectional study. Depressive symptomatology was screened through the Chinese version of Center for Epidemiology Studies Depression Scale. Multivariate logistic regression was performed to explore the factors related to high depressive symptomatology in female and male adolescents, respectively. Results The prevalence of high depressive symptomatology in female and male were 38.9 and 30.2% respectively. The psycho-social factors of high depressive symptomatology in female adolescents were age (Adjusted odds ratio [aOR] = 1.201, 95% confidence interval [CI], 1.076 ~ 1.341), single parent family (aOR = 2.004, 95%CI, 1.448 ~ 2.772) and fathers’ education level (compared to primary school and below, [Junior middle school, aOR = 0.641, 95%CI, 0.439 ~ 0.934; Senior middle school, aOR = 0.603, 95%CI, 0.410 ~ 0.888; College degree and above, aOR = 0.639, 95%CI, 0.437 ~ 0.936]). Conclusion Fathers’ education level was associated with high depressive symptomatology in female adolescents. Female adolescents whose father with primary school education or below deserves more attention. Further epidemiologic researches need to be conducted to explore the different risk factors between female and male adolescents in China.
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Psychological health problems, especially emotional disorders, are common among adolescents. The epidemiology of emotional disorders is greatly influenced by stressful events. This study sought to assess the prevalence rate and socio-demographic correlates of depressive and anxiety symptoms among Chinese adolescents affected by the outbreak of COVID-19. We conducted a cross-sectional study among Chinese students aged 12–18 years during the COVID-19 epidemic period. An online survey was used to conduct rapid assessment. A total of 8079 participants were involved in the study. An online survey was used to collect demographic data, assess students’ awareness of COVID-19, and assess depressive and anxiety symptoms with the Patient Health Questionnaire (PHQ-9) and the Generalized Anxiety Disorder (GAD-7) questionnaire, respectively. The prevalence of depressive symptoms, anxiety symptoms, and a combination of depressive and anxiety symptoms was 43.7%, 37.4%, and 31.3%, respectively, among Chinese high school students during the COVID-19 outbreak. Multivariable logistic regression analysis revealed that female gender was the higher risk factor for depressive and anxiety symptoms. In terms of grades, senior high school was a risk factor for depressive and anxiety symptoms; the higher the grade, the greater the prevalence of depressive and anxiety symptoms. Our findings show there is a high prevalence of psychological health problems among adolescents, which are negatively associated with the level of awareness of COVID-19. These findings suggest that the government needs to pay more attention to psychological health among adolescents while combating COVID-19.
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Objectives: Cultivation of resilience is believed to ameliorate mental health problems. The impact of mental health problems on resilience is however rarely discussed. This study investigated the reciprocal relationship of resilience with depression and anxiety symptoms using a three-wave cross-lagged design. Methods: Resilience level, depression, and anxiety symptoms were assessed at baseline, the third and the sixth month in 125 university students without psychiatric disorders (62 females). Results: No significant changes in resilience levels were observed across the six months. Depressive symptoms, but not anxiety symptoms significantly increased at the third and sixth months compared with baseline. The three-wave cross-lagged models revealed an unstable reciprocal relationship of resilience with depression and a stable reciprocal relationship between resilience and anxiety symptoms over time. Conclusions: The reciprocal relationship between resilience and mental health problems indicates the importance of cultivating resilience for the prevention of mental illness as well as the importance of managing mental health symptoms at non-clinical levels for monitoring resilience. The unstable reciprocal relationship between resilience and depression symptoms across time suggests the existence of potential moderators that impact the relationship between resilience and depression. Our findings further support the notion that resilience is conceptualized as a dynamic process. This article is protected by copyright. All rights reserved.
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Importance Emerging research suggests that the global prevalence of child and adolescent mental illness has increased considerably during COVID-19. However, substantial variability in prevalence rates have been reported across the literature. Objective To ascertain more precise estimates of the global prevalence of child and adolescent clinically elevated depression and anxiety symptoms during COVID-19; to compare these rates with prepandemic estimates; and to examine whether demographic (eg, age, sex), geographical (ie, global region), or methodological (eg, pandemic data collection time point, informant of mental illness, study quality) factors explained variation in prevalence rates across studies. Data Sources Four databases were searched (PsycInfo, Embase, MEDLINE, and Cochrane Central Register of Controlled Trials) from January 1, 2020, to February 16, 2021, and unpublished studies were searched in PsycArXiv on March 8, 2021, for studies reporting on child/adolescent depression and anxiety symptoms. The search strategy combined search terms from 3 themes: (1) mental illness (including depression and anxiety), (2) COVID-19, and (3) children and adolescents (age ≤18 years). For PsycArXiv, the key terms COVID-19, mental health, and child/adolescent were used. Study Selection Studies were included if they were published in English, had quantitative data, and reported prevalence of clinically elevated depression or anxiety in youth (age ≤18 years). Data Extraction and Synthesis A total of 3094 nonduplicate titles/abstracts were retrieved, and 136 full-text articles were reviewed. Data were analyzed from March 8 to 22, 2021. Main Outcomes and Measures Prevalence rates of clinically elevated depression and anxiety symptoms in youth. Results Random-effect meta-analyses were conducted. Twenty-nine studies including 80 879 participants met full inclusion criteria. Pooled prevalence estimates of clinically elevated depression and anxiety symptoms were 25.2% (95% CI, 21.2%-29.7%) and 20.5% (95% CI, 17.2%-24.4%), respectively. Moderator analyses revealed that the prevalence of clinically elevated depression and anxiety symptoms were higher in studies collected later in the pandemic and in girls. Depression symptoms were higher in older children. Conclusions and Relevance Pooled estimates obtained in the first year of the COVID-19 pandemic suggest that 1 in 4 youth globally are experiencing clinically elevated depression symptoms, while 1 in 5 youth are experiencing clinically elevated anxiety symptoms. These pooled estimates, which increased over time, are double of prepandemic estimates. An influx of mental health care utilization is expected, and allocation of resources to address child and adolescent mental health concerns are essential.
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Background: The aim of this study was to explore the associations among interpersonal relationships, resilience and depressive symptoms, and to examine if resilience is a mediator between interpersonal relationships and depressive symptoms in senior high school students. Methods: Of 463 randomly selected participants from among 3,900 high school students, 450 (97.19%) consented to and completed a structured 4-part questionnaire consisting of demographic items, Inventory of Adolescent Resilience, Taiwan Relationship Inventory for Children and Adolescents, and Center for Epidemiologic Studies Depression Scale for Children. The associations between interpersonal relations and resilience and their associations with depressive symptoms were analyzed using MPlus 8.0 software for structural equation modeling. Results: Results from structural equation modeling indicate that resilience and interpersonal relationships were negatively associated with students' depressive symptoms, and resilience partially mediated the associations between interpersonal relationships and depressive symptoms after controlling for demographics. Conclusion: Findings support that resilience and better interpersonal relationships are protective factors against depressive symptoms in adolescents. The positive association between the two protectors implies that interpersonal relationships might increase resilience and then alleviate depression amongst adolescents.