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Preplanned Studies: Association Between Family Upbringing Environment and Mobile Phone Dependence Syndrome in Middle School Students — Guangzhou City, Guangdong Province, China, 2023

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  • Summary

    What is already known about this topic?

    Smartphones have consistently served as the primary device for internet access among younger populations. Recent research demonstrates that more than 25% of Chinese adolescents experience smartphone addiction. This study aims to examine the association between family upbringing environment and Mobile Phone Dependence Syndrome (MPDS) among middle school students in Guangzhou.

    What is added by this report?

    This study demonstrates that middle school students whose fathers had educational attainment levels of junior high school [odds ratio (OR)=0.39, 95% confidence interval (95% CI): 0.17–0.90], senior high school, junior college, technical secondary school, or vocational university (OR=0.28, 95% CI: 0.12–0.67), or a bachelor’s degree and above (OR=0.34, 95% CI: 0.12–0.92) may function as a protective factor against MPDS among adolescents. Additionally, students whose fathers employed an authoritarian parenting style (OR=1.98, 95% CI: 1.22–3.21) are also associated with middle school students’ MPDS.

    What are the implications for public health practice?

    These findings indicate that democratic parenting approaches and higher educational attainment among fathers play essential roles in mitigating adolescent MPDS, providing valuable guidance for developing evidence-based strategies and interventions aimed at promoting adolescent physical and mental health.

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  • Conflicts of interest: No conflicts of interest.
  • Funding: Supported by the Medical Science and Technology Research Foundation of Guangdong (Grant No. B2022109)
  • [1] Lian SL, Sun XJ, Niu GF, Yang XJ, Zhou ZK, Yang C. Mobile phone addiction and psychological distress among Chinese adolescents: the mediating role of rumination and moderating role of the capacity to be alone. J Affect Disord 2021;279:701 − 10. https://doi.org/10.1016/j.jad.2020.10.005.
    [2] Yang J, Zhao XH. Parenting styles and children’s academic performance: evidence from middle schools in China. Child Youth Serv Rev 2020;113:105017. https://doi.org/10.1016/j.childyouth.2020.105017.
    [3] Qu H, Yang H, Yang ZX. Research on mobile phone dependence and education strategy of senior one students. Adv Psychol 2021;11(1):114 − 25. https://doi.org/10.12677/AP.2021.111014.
    [4] Wang XH. Research on the situation of mobile phone dependency and the relationship among MPD, social support and social adaptation for middle school students [dissertation]. Fuzhou, China: Fujian Normal University; 2011. http://dx.doi.org/10.7666/d.y1999211. (In Chinese).
    [5] Nur H, Setyaningrum P, Novandita A. Permissive, authoritarian, and authoritative parenting style and smartphone addiction on university students. J Educ Health Community Psychol 2021;10(3):419 − 31. https://doi.org/10.12928/jehcp.v10i3.20620.
    [6] Li HH, Luo MZ, Duan BY, Kawulia A, Su ML, Di HJ. Family socioeconomic status and young children digital addiction: a moderated mediation model. Front Psychol 2024;15:1435575. https://doi.org/10.3389/fpsyg.2024.1435575.
    [7] LeCuyer EA, Swanson DP. A within-group analysis of African American mothers’ authoritarian attitudes, limit-setting and children’s self-regulation. J Child Fam Stud 2017;26(3):833 − 42. https://doi.org/10.1007/s10826-016-0609-0.
    [8] Gong J, Zhou Y, Wang Y, Liang Z, Hao JY, Su L, et al. How parental smartphone addiction affects adolescent smartphone addiction: the effect of the parent-child relationship and parental bonding. J Affect Disord 2022;307:271 − 7. https://doi.org/10.1016/j.jad.2022.04.014.
    [9] Paulus FW, Joas J, Friedmann A, Fuschlberger T, Möhler E, Mall V. Familial context influences media usage in 0- to 4-year old children. Front Public Health 2024;11:1256287. https://doi.org/10.3389/fpubh.2023.1256287.
    [10] Beison A, Rademacher DJ. Relationship between family history of alcohol addiction, parents’ education level, and smartphone problem use scale scores. J Behav Addict 2017;6(1):84 − 91. https://doi.org/10.1556/2006.6.2017.016.
  • TABLE 1.  Characteristics of participants (N=1,883).

    Characteristics n %
    Sex
    Male 1,035 54.97
    Female 848 45.03
    Grade
    Grade 7 290 15.40
    Grade 8 285 15.14
    Grade 9 295 15.67
    Grade 10 353 18.75
    Grade 11 318 16.89
    Grade 12 342 18.16
    Household registration
    Guangzhou 1,030 54.70
    Other areas in China 853 45.30
    Boarding status
    Yes 612 32.50
    No 1,271 67.50
    Only child
    Yes 1,373 72.92
    No 510 27.08
    Monthly allowances (CNY)
    <500 1,435 76.21
    500–999 276 14.66
    1,000–1,499 107 5.68
    ≥1,500 65 3.45
    Personality trait
    Introverted 500 26.55
    Extroverted 680 36.11
    Neutral 703 37.33
    Peer interaction
    Very easy 754 40.04
    Average 1,008 53.53
    Not easy 121 6.43
    Peer social frequency
    Frequently 996 52.89
    Occasionally 827 43.92
    Rarely 60 3.19
    Academic performance
    Top 25% in grade 603 32.02
    26%–50% in grade 593 31.49
    51%–75% in grade 484 25.70
    76%–100% in grade 203 10.78
    Place of residence
    Rural 722 38.34
    Urban 1,161 61.66
    Father’s educational attainment
    Elementary school and below 100 5.31
    Junior high school 670 35.58
    Senior high school/Junior college/Technical secondary school/Vocational university 868 46.10
    Bachelor’s degree and above 245 13.01
    Mother’s educational attainment
    Elementary school and below 205 10.89
    Junior high school 724 38.45
    Senior high school/Junior college/Technical secondary school/Vocational university 753 39.99
    Bachelor’s degree and above 201 10.67
    Father’s parenting style
    Democratic 1,023 54.33
    Authoritarian 396 21.03
    Indulgent 447 23.74
    Spoiling 17 0.90
    Mother’s parenting style
    Democratic 1,081 57.41
    Authoritarian 374 19.86
    Indulgent 405 21.51
    Spoiling 23 1.22
    Father’s caring level
    Very caring 935 49.66
    Average 807 42.86
    Not caring 141 7.49
    Mother’s caring level
    Very caring 1,273 67.61
    Average 541 28.73
    Not caring 69 3.66
    Family economic condition
    Low 1,435 76.21
    Average 320 16.99
    High 128 6.77
    Mean SD
    Age (year) 15.33 1.71
    MPDS scores 35.74 10.61
    Abbreviation: MPDS=mobile phone dependence syndrome; CNY=Chinese Yuan.
    Download: CSV

    TABLE 2.  Matched variables of MPDS and non-MPDS groups before and after matching (N1=1,883, N2=747).

    Variables Unmatched population Matched population
    Non-MPDS (n=1,694) MPDS (n=189) SMD P Non-MPDS (n=558) MPDS (n=189) SMD P
    Sex 0.223 0.004* 0.017 0.608
    Male 950 (56.08) 85 (44.97) 239 (42.83) 85 (44.97)
    Female 744 (43.92) 104 (55.03) 319 (57.17) 104 (55.03)
    Grade 0.304 0.005* 0.003 0.995
    Grade 7 271 (16.0) 19 (10.05) 57 (10.22) 19 (10.05)
    Grade 8 263 (15.53) 22 (11.64) 63 (11.29) 22 (11.64)
    Grade 9 274 (16.17) 21 (11.11) 63 (11.29) 21 (11.11)
    Grade 10 314 (18.54) 39 (20.63) 125 (22.40) 39 (20.63)
    Grade 11 275 (16.23) 43 (22.75) 127 (22.76) 43 (22.75)
    Grade 12 297 (17.53) 45 (23.81) 123 (22.04) 45 (23.81)
    Boarding status 0.103 0.160 0.015 0.651
    Yes 542 (32.00) 70 (37.03) 217 (38.89) 70 (37.04)
    No 1,152 (68.00) 119 (62.97) 341 (61.11) 119 (62.96)
    Place of residence 0.066 0.383 0.004 0.819
    Rural 644 (38.02) 78 (41.27) 225 (40.32) 78 (41.27)
    Urban 1,050 (61.98) 111 (58.73) 333 (59.68) 111 (58.73)
    Abbreviation: MPDS=mobile phone dependence syndrome; SMD=standardized mean difference; N1=number of unmatched population; N2=number of matched population.
    * P<0.01.
    Download: CSV

    TABLE 3.  Baseline characteristics of MPDS and non-MPDS groups after matching (N=747).

    Variables Non-MPDS (n=558) MPDS (n=189) P
    Household registration 0.773
    Guangzhou 324 (58.06) 112 (59.26)
    Other areas in China 234 (41.94) 77 (40.74)
    Only child 0.689
    Yes 150 (26.88) 48 (25.40)
    No 408 (73.12) 141 (74.60)
    Monthly allowances (CNY) 0.334
    <500 424 (75.99) 132 (69.84)
    500–999 89 (15.95) 37 (19.58)
    1,000–1,499 31 (5.56) 12 ( (6.35)
    ≥1,500 14 (2.51) 8 (4.23)
    Personality trait 0.026*
    Introverted 218 (39.07) 66 (34.92)
    Extroverted 196 (35.13) 55 (29.10)
    Neutral 144 (25.81) 68 (36.08)
    Peer interaction 0.103
    Very easy 214 (38.35) 64 (33.86)
    Average 314 (56.27) 107 (56.61)
    Not easy 30 (5.38) 18 (9.52)
    Peer social frequency 0.065
    Frequently 280 (50.18) 93 (49.21)
    Occasionally 263 (47.13) 84 (44.44)
    Rarely 15 (2.69) 12 (6.35)
    Academic performance 0.007**
    Top 25% in grade 175 (31.36) 58 (30.69)
    26%–50% in grade 197 (35.30) 47 (24.87)
    51%–75% in grade 128 (22.94) 50 (26.46)
    76%–100% in grade 58 (10.39) 34 (17.99)
    Father’s educational attainment 0.010*
    Elementary school and below 17 (3.05) 16 (8.47)
    Junior high school 193 (34.59) 71 (37.56)
    Senior high school/Junior college/Technical secondary school/Vocational university 269 (48.21) 79 (41.80)
    Bachelor’s degree and above 79 (14.16) 23 (12.17)
    Mother’s educational attainment 0.342
    Elementary school and below 63 (11.29) 19 (10.05)
    Junior high school 199 (35.67) 70 (37.04)
    Senior high school/Junior college/Technical secondary school/Vocational university 234 (41.94) 87 (46.03)
    Bachelor’s degree and above 62 (11.11) 13 (6.88)
    Father’s parenting style <0.001**
    Democratic 326 (58.42) 76 (40.21)
    Authoritarian 101 (18.10) 57 (30.16)
    Indulgent 125 (22.40) 54 (28.57)
    Spoiling 6 (1.08) 2 (1.06)
    Mother’s parenting style 0.109
    Democratic 331 (59.32) 94 (49.74)
    Authoritarian 108 (19.35) 43 (22.75)
    Indulgent 115 (20.61) 49 (25.93)
    Spoiling 4 (0.72) 3 (1.59)
    Father’s caring level 0.003**
    Very caring 287 (51.43) 71 (37.57)
    Average 234 (41.94) 99 (52.38)
    Not caring 37 (6.63) 19 (10.05)
    Mother’s caring level 0.279
    Very caring 389 (69.71) 120 (63.49)
    Average 153 (27.42) 63 (33.33)
    Not caring 16 (2.87) 6 (3.17)
    Family economic condition 0.188
    Low 424 (75.99) 132 (69.84)
    Average 105 (18.82) 42 (22.22)
    High 29 (5.20) 15 (7.94)
    Abbreviation: CNY=Chinese Yuan; MPDS=mobile phone dependence syndrome.
    * P<0.05;
    ** P<0.01.
    Download: CSV

    TABLE 4.  Logistic regression analysis results after PSM (N=747).

    Variables Model 1 Model 2†† Model 3†††
    OR (95% CI) P OR (95% CI) P OR (95% CI) P
    Father’s educational attainment
    Elementary school and below (reference)
    Junior high school 0.38 (0.17, 0.86) 0.020* 0.37 (0.17, 0.85) 0.018* 0.39 (0.17, 0.90) 0.026*
    Senior high school/Junior college/Technical secondary school/Vocational university 0.27 (0.12, 0.63) 0.002** 0.27 (0.12, 0.62) 0.002** 0.28 (0.12, 0.67) 0.004**
    Bachelor’s degree and above 0.33 (0.13, 0.87) 0.025* 0.33 (0.12, 0.87) 0.025* 0.34 (0.12, 0.92) 0.034*
    Mother’s educational attainment
    Elementary school and below (reference)
    Junior high school 1.43 (0.75, 2.72) 0.273 1.48 (0.77, 2.85) 0.235 1.61 (0.82, 3.15) 0.169
    Senior high school/Junior college/Technical secondary school/Vocational university 1.92 (0.99, 3.71) 0.053 1.97 (1.01, 3.83) 0.046* 2.06 (1.03, 4.15) 0.042*
    Bachelor’s degree and above 1.03 (0.42, 2.57) 0.947 1.04 (0.42, 2.62) 0.927 1.02 (0.39, 2.66) 0.967
    Father’s parenting style
    Democratic (reference)
    Authoritarian 1.90 (1.19, 3.04) 0.007** 1.90 (1.19, 3.03) 0.007** 1.98 (1.22, 3.21) 0.006**
    Indulgent 1.46 (0.93, 2.29) 0.104 1.47 (0.93, 2.31) 0.096 1.49 (0.94, 2.38) 0.091
    Spoiling 1.48 (0.28, 7.96) 0.648 1.43 (0.26, 7.88) 0.679 1.38 (0.24, 8.01) 0.719
    Mother’s parenting style
    Democratic (reference)
    Authoritarian 1.01 (0.63, 1.61) 0.964 1.04 (0.65, 1.67) 0.870 0.93 (0.58, 1.51) 0.776
    Indulgent 1.24 (0.79, 1.93) 0.349 1.25 (0.80, 1.96) 0.323 1.19 (0.75, 1.89) 0.461
    Spoiling 1.61 (0.31, 8.25) 0.571 1.56 (0.31, 7.98) 0.591 1.40 (0.25, 7.81) 0.701
    Father’s caring level
    Very caring (reference)
    Average 1.51 (0.98, 2.32) 0.062 1.52 (0.99, 2.35) 0.057 1.42 (0.91, 2.23) 0.125
    Not caring 1.71 (0.83, 3.49) 0.144 1.72 (0.84, 3.53) 0.142 1.54 (0.73, 3.24) 0.259
    Mother’s caring level
    Very caring (reference)
    Average 0.94 (0.61, 1.45) 0.776 0.95 (0.61, 1.47) 0.803 1.00 (0.63, 1.57) 0.987
    Not caring 0.72 (0.24, 2.18) 0.563 0.72 (0.23, 2.19) 0.556 0.70 (0.22, 2.25) 0.551
    Family economic condition
    Low (reference)
    Average 1.28 (0.83, 1.96) 0.259 1.27 (0.82, 1.96) 0.279 0.98 (0.16, 5.92) 0.984
    High 1.66 (0.84, 3.27) 0.143 1.64 (0.83, 3.26) 0.155 1.63 (0.61, 4.37) 0.333
    Abbreviation: OR=odds ratio; CI=confidence interval; PSM=propensity score matching.
    Model 1 unadjusted;
    †† Model 2 adjusted for sex and grade;
    ††† Model 3 adjusted for sex, grade, boarding status, place of residence, household registration, only child status, monthly allowances, personality trait, peer interaction, peer social frequency, and academic performance.
    * P<0.05;
    ** P<0.01.
    Download: CSV

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Association Between Family Upbringing Environment and Mobile Phone Dependence Syndrome in Middle School Students — Guangzhou City, Guangdong Province, China, 2023

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Summary

What is already known about this topic?

Smartphones have consistently served as the primary device for internet access among younger populations. Recent research demonstrates that more than 25% of Chinese adolescents experience smartphone addiction. This study aims to examine the association between family upbringing environment and Mobile Phone Dependence Syndrome (MPDS) among middle school students in Guangzhou.

What is added by this report?

This study demonstrates that middle school students whose fathers had educational attainment levels of junior high school [odds ratio (OR)=0.39, 95% confidence interval (95% CI): 0.17–0.90], senior high school, junior college, technical secondary school, or vocational university (OR=0.28, 95% CI: 0.12–0.67), or a bachelor’s degree and above (OR=0.34, 95% CI: 0.12–0.92) may function as a protective factor against MPDS among adolescents. Additionally, students whose fathers employed an authoritarian parenting style (OR=1.98, 95% CI: 1.22–3.21) are also associated with middle school students’ MPDS.

What are the implications for public health practice?

These findings indicate that democratic parenting approaches and higher educational attainment among fathers play essential roles in mitigating adolescent MPDS, providing valuable guidance for developing evidence-based strategies and interventions aimed at promoting adolescent physical and mental health.

  • 1. Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou City, Guangdong Province, China
  • 2. Guangzhou Center for Disease Control and Prevention (Guangzhou Health Supervision Institute), Guangzhou City, Guangdong Province, China
  • 3. The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou City, Guangdong Province, China
  • 4. Guangzhou Liwan District Center for Disease Control and Prevention, Guangzhou City, Guangdong Province, China
  • 5. Guangzhou Nansha District Center for Disease Control and Prevention, Guangzhou City, Guangdong Province, China
  • Corresponding authors:

    Xiaomei Dong, tdongxm@jnu.edu.cn

    Chang Wang, gzcdc_wangc@gz.gov.cn

  • Funding: Supported by the Medical Science and Technology Research Foundation of Guangdong (Grant No. B2022109)
  • Online Date: August 01 2025
    Issue Date: August 01 2025
    doi: 10.46234/ccdcw2025.173
    • Introduction: With the widespread adoption of smartphones, Mobile Phone Dependence Syndrome (MPDS) has emerged as a significant public health concern. However, the relationship between family upbringing environment and MPDS among middle school students remains unclear.

      Methods: The study employed a multi-stage cluster random sampling method to conduct questionnaire and scale assessments among 1,928 students from eight middle schools in Guangzhou during April and May 2023. Propensity score matching was performed to control for confounding variables, including sex, grade, boarding status, and place of residence. used Multivariate logistic regression models were used to examine the associations between parental educational attainment, parenting styles, care levels, family economic conditions, and middle school students’ MPDS.

      Results: After adjusting for covariates, this study revealed that middle school students whose fathers had educational attainment levels of junior high school [odds ratio (OR)=0.39, 95% confidence interval (95% CI): 0.17–0.90], senior high school, junior college, technical secondary school, or vocational university (OR=0.28, 95% CI: 0.12–0.67), or a bachelor’s degree and above (OR=0.34, 95% CI: 0.12–0.92) demonstrated significantly lower odds of MPDS compared to those whose fathers had only an elementary school education or below. Additionally, students whose fathers employed an authoritarian parenting style (OR=1.98, 95% CI: 1.22–3.21) showed significantly higher odds of MPDS compared to those whose fathers embraced a democratic parenting approach.

      Conclusion: Promoting democratic parenting styles among fathers and enhancing fathers’ educational levels may be beneficial in reducing adolescents’ MPDS risk. This study provides valuable insights for developing scientifically informed strategies aimed at promoting adolescents’ physical and mental well-being.

    • In recent years, the rapid advancement of China’s industrial and information technology infrastructure has led to widespread smartphone adoption. However, excessive smartphone use, termed MPDS, can result in subjective distress, psychological symptoms, health complications, and social disruptions. Research indicates that more than 25% of Chinese adolescents experience smartphone addiction (1). The emergence of excessive smartphone use during adolescence correlates significantly with increased risks of depression, anxiety, loneliness, and sleep disorders. Therefore, addressing excessive smartphone use among teenagers represents a critical public health priority.

      Adolescent MPDS is influenced by individual, school, and family factors, with the family upbringing environment playing a particularly crucial role. The family upbringing environment is shaped by parental educational attainment and the quality of care they provide. Building upon Baumrind’s foundational parenting style theory, Maccoby and Martin further categorized parenting styles into four distinct types — democratic, authoritarian, indulgent, and spoiling — based on the dimensions of demandingness and responsiveness (2). Within China’s sociocultural context, traditional Chinese parenting has been characterized by strict parental authority and child obedience. However, as China has experienced significant social and economic transformation during the past four decades, Chinese parents have become more educated and enjoy improved living standards, leading many to adopt more democratic parenting styles. This study aims to examine the association between family upbringing environment and MPDS occurrence among middle school students in Guangzhou City, thereby providing evidence-based strategies and measures for promoting adolescent physical and mental health development.

      Data were collected from 1,928 students across 8 middle schools in Liwan and Nansha districts of Guangzhou City, Guangdong Province, China, between April and May 2023. Participants were selected using a multistage cluster random sampling method. Liwan District and Nansha District were selected to represent the central urban area and rural administrative region, respectively. 1 key middle school, 1 key high school, 1 ordinary middle school, and 1 ordinary high school were selected from each district (if there is no distinction, then randomly select). 1 ordinary class and 1 key class were selected from grades 7 to 12 from each district (if there is no distinction, then randomly select). All students in the selected classes were included in the investigation.

      Based on an existing study (3), the prevalence of MPDS among middle school students was estimated at 15.0%. The α value was set at 0.05, while the d value was set at 0.15 p. To account for the multistage cluster sampling design, we increased this estimate by 50%. Assuming a 90% response rate, the final minimum required sample size was 1,613 students.

      $$ n=\frac{\mathrm{Z}_{\alpha}^2p\left(1-\mathrm{\mathit{p}}\right)}{d^2} $$

      Participants were excluded if any of the following conditions occurred: 1) the middle school student MPDS scale was not completed, or contained 1 or more missing questions (n=14); 2) the questionnaire contained logical errors (n=31). Finally, 1,883 eligible participants were included in the final analysis.

      The Mobile Phone Dependence Scale, developed by Wang Xiaohui (4), was employed to assess MPDS severity among middle school students. Scores exceeding 48 indicated MPDS. Parental parenting styles were categorized into four types: authoritarian, democratic, indulgent, and spoiling. The questionnaire provided explicit definitions for each parenting style, and students identified the approaches adopted by their respective parents. Due to the absence of self-reported household income data in the questionnaire, we used students’ boarding status and monthly allowance as substitute variables to reflect their family economic status. A monthly allowance of less than 500 Chinese Yuan (CNY) for boarding students indicates low family economic status. A monthly allowance between 500 and 1,500 CNY for boarding students, or between 500 and 1,000 CNY for non-boarding students, is classified as average family economic status. When the monthly allowance exceeds 1,500 CNY for boarding students or 1,000 CNY for non-boarding students, the family is classified as having high economic status.

      This study utilized propensity score matching (PSM) to control for potential confounding factors. Four baseline characteristics were matched: sex, grade, boarding status, and place of residence. We employed 1∶3 nearest-neighbor matching with a caliper width of 0.02. Following matching, 747 participants were included in two groups. A standardized mean difference (SMD) below 0.10 was considered acceptable for balance assessment.

      Qualitative data are presented as frequencies and percentages (n, %), while quantitative data following normal distribution are expressed as means and standard deviations. Univariate analyses were conducted on matched data to compare individual and family characteristics between MPDS and non-MPDS participants. Multivariate logistic regression models examined the association between family upbringing environment and middle school students’ MPDS. Model 1 remained unadjusted; Model 2 adjusted for sex and grade; Model 3 incorporated all covariates. Database construction utilized Epidata software (version 3.1, Epidata Association, Odense, Denmark). Statistical analyses were performed using R software (version 4.3.1, R Foundation for Statistical Computing, Vienna, Austria) and SPSS software (version 26.0, IBM Corp., Armonk, NY, USA). Statistical significance was set at P<0.05, with all tests being two-tailed.

      Among the 1,883 enrolled middle school students, 1,035 were male (54.97%) and 848 were female (45.03%). The mean MPDS scale score was 35.74±10.61, with 189 students (10.04%) classified as having MPDS (Table 1). Following propensity score matching, the analysis included 558 students (74.70%) in the non-MPDS group and 189 students (25.30%) in the MPDS group. The PSM procedure successfully balanced the distributions of sex, grade, boarding status, and place of residence across groups (P>0.05) (Table 2).

      Characteristics n %
      Sex
      Male 1,035 54.97
      Female 848 45.03
      Grade
      Grade 7 290 15.40
      Grade 8 285 15.14
      Grade 9 295 15.67
      Grade 10 353 18.75
      Grade 11 318 16.89
      Grade 12 342 18.16
      Household registration
      Guangzhou 1,030 54.70
      Other areas in China 853 45.30
      Boarding status
      Yes 612 32.50
      No 1,271 67.50
      Only child
      Yes 1,373 72.92
      No 510 27.08
      Monthly allowances (CNY)
      <500 1,435 76.21
      500–999 276 14.66
      1,000–1,499 107 5.68
      ≥1,500 65 3.45
      Personality trait
      Introverted 500 26.55
      Extroverted 680 36.11
      Neutral 703 37.33
      Peer interaction
      Very easy 754 40.04
      Average 1,008 53.53
      Not easy 121 6.43
      Peer social frequency
      Frequently 996 52.89
      Occasionally 827 43.92
      Rarely 60 3.19
      Academic performance
      Top 25% in grade 603 32.02
      26%–50% in grade 593 31.49
      51%–75% in grade 484 25.70
      76%–100% in grade 203 10.78
      Place of residence
      Rural 722 38.34
      Urban 1,161 61.66
      Father’s educational attainment
      Elementary school and below 100 5.31
      Junior high school 670 35.58
      Senior high school/Junior college/Technical secondary school/Vocational university 868 46.10
      Bachelor’s degree and above 245 13.01
      Mother’s educational attainment
      Elementary school and below 205 10.89
      Junior high school 724 38.45
      Senior high school/Junior college/Technical secondary school/Vocational university 753 39.99
      Bachelor’s degree and above 201 10.67
      Father’s parenting style
      Democratic 1,023 54.33
      Authoritarian 396 21.03
      Indulgent 447 23.74
      Spoiling 17 0.90
      Mother’s parenting style
      Democratic 1,081 57.41
      Authoritarian 374 19.86
      Indulgent 405 21.51
      Spoiling 23 1.22
      Father’s caring level
      Very caring 935 49.66
      Average 807 42.86
      Not caring 141 7.49
      Mother’s caring level
      Very caring 1,273 67.61
      Average 541 28.73
      Not caring 69 3.66
      Family economic condition
      Low 1,435 76.21
      Average 320 16.99
      High 128 6.77
      Mean SD
      Age (year) 15.33 1.71
      MPDS scores 35.74 10.61
      Abbreviation: MPDS=mobile phone dependence syndrome; CNY=Chinese Yuan.

      Table 1.  Characteristics of participants (N=1,883).

      Variables Unmatched population Matched population
      Non-MPDS (n=1,694) MPDS (n=189) SMD P Non-MPDS (n=558) MPDS (n=189) SMD P
      Sex 0.223 0.004* 0.017 0.608
      Male 950 (56.08) 85 (44.97) 239 (42.83) 85 (44.97)
      Female 744 (43.92) 104 (55.03) 319 (57.17) 104 (55.03)
      Grade 0.304 0.005* 0.003 0.995
      Grade 7 271 (16.0) 19 (10.05) 57 (10.22) 19 (10.05)
      Grade 8 263 (15.53) 22 (11.64) 63 (11.29) 22 (11.64)
      Grade 9 274 (16.17) 21 (11.11) 63 (11.29) 21 (11.11)
      Grade 10 314 (18.54) 39 (20.63) 125 (22.40) 39 (20.63)
      Grade 11 275 (16.23) 43 (22.75) 127 (22.76) 43 (22.75)
      Grade 12 297 (17.53) 45 (23.81) 123 (22.04) 45 (23.81)
      Boarding status 0.103 0.160 0.015 0.651
      Yes 542 (32.00) 70 (37.03) 217 (38.89) 70 (37.04)
      No 1,152 (68.00) 119 (62.97) 341 (61.11) 119 (62.96)
      Place of residence 0.066 0.383 0.004 0.819
      Rural 644 (38.02) 78 (41.27) 225 (40.32) 78 (41.27)
      Urban 1,050 (61.98) 111 (58.73) 333 (59.68) 111 (58.73)
      Abbreviation: MPDS=mobile phone dependence syndrome; SMD=standardized mean difference; N1=number of unmatched population; N2=number of matched population.
      * P<0.01.

      Table 2.  Matched variables of MPDS and non-MPDS groups before and after matching (N1=1,883, N2=747).

      Univariate logistic regression analysis demonstrated that personality traits (P=0.026) and academic performance (P=0.007) among middle school students were significantly associated with MPDS variations. Within family upbringing environment factors, fathers’ educational attainment (P=0.010), fathers’ parenting style (P<0.001), and fathers’ caring level (P=0.003) showed significant associations with MPDS among middle school students (Table 3).

      Variables Non-MPDS (n=558) MPDS (n=189) P
      Household registration 0.773
      Guangzhou 324 (58.06) 112 (59.26)
      Other areas in China 234 (41.94) 77 (40.74)
      Only child 0.689
      Yes 150 (26.88) 48 (25.40)
      No 408 (73.12) 141 (74.60)
      Monthly allowances (CNY) 0.334
      <500 424 (75.99) 132 (69.84)
      500–999 89 (15.95) 37 (19.58)
      1,000–1,499 31 (5.56) 12 ( (6.35)
      ≥1,500 14 (2.51) 8 (4.23)
      Personality trait 0.026*
      Introverted 218 (39.07) 66 (34.92)
      Extroverted 196 (35.13) 55 (29.10)
      Neutral 144 (25.81) 68 (36.08)
      Peer interaction 0.103
      Very easy 214 (38.35) 64 (33.86)
      Average 314 (56.27) 107 (56.61)
      Not easy 30 (5.38) 18 (9.52)
      Peer social frequency 0.065
      Frequently 280 (50.18) 93 (49.21)
      Occasionally 263 (47.13) 84 (44.44)
      Rarely 15 (2.69) 12 (6.35)
      Academic performance 0.007**
      Top 25% in grade 175 (31.36) 58 (30.69)
      26%–50% in grade 197 (35.30) 47 (24.87)
      51%–75% in grade 128 (22.94) 50 (26.46)
      76%–100% in grade 58 (10.39) 34 (17.99)
      Father’s educational attainment 0.010*
      Elementary school and below 17 (3.05) 16 (8.47)
      Junior high school 193 (34.59) 71 (37.56)
      Senior high school/Junior college/Technical secondary school/Vocational university 269 (48.21) 79 (41.80)
      Bachelor’s degree and above 79 (14.16) 23 (12.17)
      Mother’s educational attainment 0.342
      Elementary school and below 63 (11.29) 19 (10.05)
      Junior high school 199 (35.67) 70 (37.04)
      Senior high school/Junior college/Technical secondary school/Vocational university 234 (41.94) 87 (46.03)
      Bachelor’s degree and above 62 (11.11) 13 (6.88)
      Father’s parenting style <0.001**
      Democratic 326 (58.42) 76 (40.21)
      Authoritarian 101 (18.10) 57 (30.16)
      Indulgent 125 (22.40) 54 (28.57)
      Spoiling 6 (1.08) 2 (1.06)
      Mother’s parenting style 0.109
      Democratic 331 (59.32) 94 (49.74)
      Authoritarian 108 (19.35) 43 (22.75)
      Indulgent 115 (20.61) 49 (25.93)
      Spoiling 4 (0.72) 3 (1.59)
      Father’s caring level 0.003**
      Very caring 287 (51.43) 71 (37.57)
      Average 234 (41.94) 99 (52.38)
      Not caring 37 (6.63) 19 (10.05)
      Mother’s caring level 0.279
      Very caring 389 (69.71) 120 (63.49)
      Average 153 (27.42) 63 (33.33)
      Not caring 16 (2.87) 6 (3.17)
      Family economic condition 0.188
      Low 424 (75.99) 132 (69.84)
      Average 105 (18.82) 42 (22.22)
      High 29 (5.20) 15 (7.94)
      Abbreviation: CNY=Chinese Yuan; MPDS=mobile phone dependence syndrome.
      * P<0.05;
      ** P<0.01.

      Table 3.  Baseline characteristics of MPDS and non-MPDS groups after matching (N=747).

      After controlling for all relevant confounding factors in Model 3, fathers’ educational attainment and parenting style remained significantly associated with MPDS scores among middle school students. Compared with students whose fathers had completed only elementary school or below, those whose fathers had completed junior high school [odds ratio (OR)=0.39, 95% confidence interval (95% CI): 0.17–0.90], senior high school/junior college/technical secondary school/vocational university (OR=0.28, 95% CI: 0.12–0.67), and bachelor’s degree or above (OR=0.34, 95% CI: 0.12–0.92) demonstrated protective effects against MPDS. Students with authoritarian fathers showed a 98% higher odds of MPDS compared to those with democratic fathers (OR=1.98, 95% CI: 1.22–3.21) (Table 4). We also found that mothers with senior high school, junior college, technical secondary school, or vocational university degrees were associated with increased odds of middle school students’ MPDS. However, this association did not attain statistical significance in the crude model. The parenting style of the mother, the caring level of the father, the caring level of the mother, and the family’s economic condition were not statistically correlated with MPDS among middle school students.

      Variables Model 1 Model 2†† Model 3†††
      OR (95% CI) P OR (95% CI) P OR (95% CI) P
      Father’s educational attainment
      Elementary school and below (reference)
      Junior high school 0.38 (0.17, 0.86) 0.020* 0.37 (0.17, 0.85) 0.018* 0.39 (0.17, 0.90) 0.026*
      Senior high school/Junior college/Technical secondary school/Vocational university 0.27 (0.12, 0.63) 0.002** 0.27 (0.12, 0.62) 0.002** 0.28 (0.12, 0.67) 0.004**
      Bachelor’s degree and above 0.33 (0.13, 0.87) 0.025* 0.33 (0.12, 0.87) 0.025* 0.34 (0.12, 0.92) 0.034*
      Mother’s educational attainment
      Elementary school and below (reference)
      Junior high school 1.43 (0.75, 2.72) 0.273 1.48 (0.77, 2.85) 0.235 1.61 (0.82, 3.15) 0.169
      Senior high school/Junior college/Technical secondary school/Vocational university 1.92 (0.99, 3.71) 0.053 1.97 (1.01, 3.83) 0.046* 2.06 (1.03, 4.15) 0.042*
      Bachelor’s degree and above 1.03 (0.42, 2.57) 0.947 1.04 (0.42, 2.62) 0.927 1.02 (0.39, 2.66) 0.967
      Father’s parenting style
      Democratic (reference)
      Authoritarian 1.90 (1.19, 3.04) 0.007** 1.90 (1.19, 3.03) 0.007** 1.98 (1.22, 3.21) 0.006**
      Indulgent 1.46 (0.93, 2.29) 0.104 1.47 (0.93, 2.31) 0.096 1.49 (0.94, 2.38) 0.091
      Spoiling 1.48 (0.28, 7.96) 0.648 1.43 (0.26, 7.88) 0.679 1.38 (0.24, 8.01) 0.719
      Mother’s parenting style
      Democratic (reference)
      Authoritarian 1.01 (0.63, 1.61) 0.964 1.04 (0.65, 1.67) 0.870 0.93 (0.58, 1.51) 0.776
      Indulgent 1.24 (0.79, 1.93) 0.349 1.25 (0.80, 1.96) 0.323 1.19 (0.75, 1.89) 0.461
      Spoiling 1.61 (0.31, 8.25) 0.571 1.56 (0.31, 7.98) 0.591 1.40 (0.25, 7.81) 0.701
      Father’s caring level
      Very caring (reference)
      Average 1.51 (0.98, 2.32) 0.062 1.52 (0.99, 2.35) 0.057 1.42 (0.91, 2.23) 0.125
      Not caring 1.71 (0.83, 3.49) 0.144 1.72 (0.84, 3.53) 0.142 1.54 (0.73, 3.24) 0.259
      Mother’s caring level
      Very caring (reference)
      Average 0.94 (0.61, 1.45) 0.776 0.95 (0.61, 1.47) 0.803 1.00 (0.63, 1.57) 0.987
      Not caring 0.72 (0.24, 2.18) 0.563 0.72 (0.23, 2.19) 0.556 0.70 (0.22, 2.25) 0.551
      Family economic condition
      Low (reference)
      Average 1.28 (0.83, 1.96) 0.259 1.27 (0.82, 1.96) 0.279 0.98 (0.16, 5.92) 0.984
      High 1.66 (0.84, 3.27) 0.143 1.64 (0.83, 3.26) 0.155 1.63 (0.61, 4.37) 0.333
      Abbreviation: OR=odds ratio; CI=confidence interval; PSM=propensity score matching.
      Model 1 unadjusted;
      †† Model 2 adjusted for sex and grade;
      ††† Model 3 adjusted for sex, grade, boarding status, place of residence, household registration, only child status, monthly allowances, personality trait, peer interaction, peer social frequency, and academic performance.
      * P<0.05;
      ** P<0.01.

      Table 4.  Logistic regression analysis results after PSM (N=747).

    • This study establishes a clear relationship between family upbringing environment and MPDS prevalence among middle school students. After controlling for covariates, we consistently identified authoritarian paternal parenting styles and lower paternal educational attainment as robust predictors of MPDS development in adolescents.

      The study revealed a significant positive correlation between fathers’ authoritarian parenting styles and MPDS. A similar conclusion was drawn from an Indonesian study that demonstrated authoritarian parenting styles were associated with increased likelihood of offspring developing MPDS (5). One study has shown that parenting styles serve as mediators in the relationship between family socioeconomic status and digital addiction in young children (6). Families provide essential emotional warmth and social support for adolescents. However, authoritarian parenting — characterized by high demands and low responsiveness — may elevate stress levels in children, prompting them to seek comfort through mobile phone use. The emotional bond between mothers and adolescents develops earlier in life. Although mothers may adopt authoritarian approaches in child-rearing, they frequently display positive and supportive attitudes that mitigate the potential negative effects of strict parenting (7). Consequently, children may demonstrate greater tolerance toward their mothers. In contrast, fathers typically focus on establishing rules and exercising behavioral control, often directly intervening in their children’s autonomy and behavioral boundaries. Authoritarian fathers assume a dominant role in parent-child relationships. They strictly regulate their children’s mobile phone usage while simultaneously suppressing their children’s need for autonomy. This authoritarian approach may contribute to elevated stress levels in children, leading them to seek solace through mobile phone use. Adolescents often avoid communicating with their fathers to prevent potential conflicts, viewing mobile phones as relaxation tools and engaging more frequently in online activities for comfort (8). Support from fathers may facilitate more effective stress-coping strategies to meet everyday and long-term demands in ways that reduce addictive behaviors. Consequently, a democratic parenting style is recommended for fathers.

      Notably, fathers’ educational attainment demonstrated a significant negative correlation with MPDS occurrence among middle school students. Previous research has shown that children from families with lower parental educational levels and reduced income tend to engage in more extensive mobile phone use compared to peers from higher socioeconomic backgrounds (9). The relationship between fathers’ limited educational attainment and adolescent addictive behaviors operates through inadequate supervision and the absence of clear household guidelines (10). Fathers with restricted education may lack essential skills to recognize and effectively address their children’s addictive behaviors. Furthermore, implementing restrictive rules alone proves insufficient for managing addictive behaviors. In contrast, fathers with higher educational levels are more likely to proactively guide their children toward developing balanced and informed approaches to mobile phone use from an early age. Well-educated fathers typically employ more effective educational strategies and supervision techniques rather than relying solely on rigid time restrictions, fostering healthier usage patterns in their children. Conversely, fathers with limited educational backgrounds are more prone to excessive mobile phone use themselves, creating negative behavioral models for their children. In summary, low education among fathers may hinder effective parenting practices, weaken the quality of parent-child attachment, and reduce emotional support, which are critical protective factors against the development of MPDS.

      Public health policies must expand beyond traditional individual-level interventions to address MPDS among middle school students. The family system should be recognized as a fundamental component within comprehensive frameworks for managing adolescent behavioral health and developing robust prevention and control systems. This study recommended that the prevention of MPDS among middle school students be integrated into existing public health prevention systems. This integration should include developing monitoring systems for MPDS that specifically assess family upbringing environment as key risk factors.

      This study has several limitations that warrant consideration. First, because the research was conducted in only eight middle schools within Guangzhou City, the generalizability of the findings to regions with different cultural backgrounds or socioeconomic environments may be limited. Second, the cross-sectional design precludes the establishing longitudinal trends or causal relationships between family parenting styles and MPDS development among middle school students. Third, the reliance on self-reported data for assessing family parenting styles may introduce response bias, potentially compromising the accuracy and consistency of the findings.

      These findings underscore the critical importance of fathers’ democratic parenting approaches and higher educational attainment in mitigating adolescent MPDS. The family upbringing environment, particularly paternal influence on adolescent MPDS, represents a significant factor in promoting comprehensive physical and mental health development among students.

    • Approved by the Ethics Committee of the Guangzhou Center for Disease Control and Prevention with the ethics approval number GZCDC-ECHR-2021P0063. All the participants provided written informed consent.

    • The staff and students who participated in the field investigation and acknowledge the cooperation of relevant departments across the participating schools.

  • Conflicts of interest: No conflicts of interest.
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