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Effects of workplace bullying on Chinese children’s health, behaviours and school adjustment via parenting: study protocol for a longitudinal study



Bullying in the workplace is a serious public health issue. As a chronic work stress, workplace bullying places the victims’ physical and mental health at risk which, in extreme cases, may lead to suicidal ideation. The high prevalence rate of workplace bullying has been reported and documented globally. However, a major limitation of the existing literature is that studies essentially focus on the consequences of workplace bullying on victims, including the psychological, physiological and socioeconomic impacts, and on the factors causing workplace bullying, but research on the impact of workplace bullying on the victims’ families is lacking. It is however evident that the consequences of workplace bullying have a spillover effect on the victims’ family members. Since many victims have children and given that children are particularly vulnerable to a negative family environment, examining the impacts of the type of parental stress induced by workplace bullying on children’s health including physical and psychological health (depression and self-esteem), externalizing problem behaviors (aggression, lying, disrespect) and school adjustment (academic performance and school conduct) is urgently needed. The overall aim of this study is to examine how health, externalizing problem behaviors and school adjustment of children whose parents are victims of workplace bullying may be associated with the impact that workplace bullying has on parenting practices.


It is a longitudinal study. Quantitative data will be collected from multi-informants, including currently employed Chinese parents, their children aged between 6 and 12 years old, and their class teachers at two time points, separated by a 1-year interval. One primary school will be recruited from each district of Hong Kong including participants with different socioeconomic backgrounds. At least 837 dyads (parents and children) from 18 primary schools will join the study.


Workplace bullying not only affects victims but can also be harmful to their families as it alters the victims temper in the family environment. Results will be informative for the government and corporations to make concerted efforts and find strategies to prevent workplace bullying and to heighten the awareness of the importance of promoting safe and respectful workplaces for workers.

Peer Review reports


The World Health Organization (WHO) recognizes bullying in the workplace as a serious public health issue [1]. Empirical research has documented bullying-related morbidity and mortality of the victims e.g., [2,3,4] and the existing literature enlightens us about this phenomenon with some very disturbing facts. For example, according to the literature, the rate of severely bullied workers who reported having suicidal ideation was 6 times higher than never bullied workers [5]. In their systematic review, Leach, Poyser, and Butterworth [6] reported that there was a significant positive relationship between workplace bullying and suicidal ideation. Kivimäki et al. [7] found that there was a strong relationship between workplace bullying, depression and cardiovascular diseases. In a 3-wave prospective follow-up study, Bonde and colleagues [8] found that poor self-rated health and depression among victims persisted for up to 4 years regardless of whether the bullying had ended or not. A recent study by Xu and colleagues [9] found that workers who have been exposed to bullying or violence in the workplace had a higher risk of type 2 diabetes. So, it is evident that persistent negative interactions with bullies in the workplace can lead to chronic stress among victims which results in higher levels of anxiety, depression, health-related problems and suicidal thoughts.

The high prevalence rate of workplace bullying in Western countries reveals that it is becoming a serious problem worldwide (see Table 1). However, given the substantial prevalence of workplace bullying in the West, our information about the extent of bullying in the workplace in Asian countries is limited due to the dearth of studies in this area [10]. In Korea, Yoo and Lee [10] found that 87% of employees reported having experienced some form of bullying in the past 6 months. In Japan, according to the Workplace Power Harassment Survey (employee survey), 25.3% of all respondents reported that they experienced workplace bullying in the past 3 years and males reported more bullying in the workplace than females (26.5% vs. 23.9%) [11]. In Hong Kong, the only available data are the results of a telephone survey conducted in 2013 by an employer service consultancy on 509 Hong Kong respondents aged between 21 and 60 who were employed at the time of the survey. The results showed that about 53% of the respondents had been victims of at least one type of workplace bullying and, among the respondents who had been victims of workplace bullying, more than 68% said they had been bullied by their supervisors [12]. Information about the extent of workplace bullying is important because it can inform government policy and heighten the awareness of corporations about this phenomenon. Hong Kong is notorious for having the longest working hours among workers out of 71 cities surveyed worldwide [13], so it must be noted that long working hours combined with the chronic stress caused by workplace bullying will put workers’ physical and mental health at risk. It is therefore urgent to provide a clear assessment of the prevalence rate of workplace bullying in Hong Kong.

Table 1 Prevalence rates of workplace bullying in different countries [52] (p.33)

Our knowledge on workplace bullying is limited to the empirical studies conducted in the West, which are largely confined to the victims. This suggests that the effects of workplace bullying are only harmful to the victims, not their family, or at the very least this crucial point has been overlooked [14] and some reports clearly provide support to this hypothesis. For example, on a survey conducted by Family Lives in the U.K., more than 80% of the participants reported that workplace bullying affected their family life [15]. Therefore, the “spillover” effect of workplace bullying on the victims’ personal lives [16] cannot be ignored and constitutes an important consequence of workplace bullying which has been largely neglected by the current literature. Negative job-related feelings such as anger, frustration, despair, and hopelessness can compromise parenting abilities in such a way that the stress resulting from workplace bullying may indirectly affect their children’s psychological well-being and behavior by altering their parenting practices [17]. Children are vulnerable to poor parenting as it has been shown that parenting is associated with many problems in children such as delinquency and academic problems [18]. Given that parents play a significant role in child development and since many victims of workplace bullying are also parents, it would be useful from a theoretical and practical perspective to explore how parents who are victims of workplace bullying affect child development via parenting practices.

Lee and Tiedens [19] found that interdependence strengthens the relationship between workplace ostracism and its consequences. With Chinese culture placing much emphasis on collectivism and interpersonal relationships, the impact of workplace bullying may be even more detrimental to the well-being of the victims. To my knowledge, no study has been conducted to investigate the relationship between parents being bullied in the workplace and the impacts on family members in Asia. The results can therefore serve as a wake-up call to many different parties such as parents, teachers, corporations, and government to stop workplace bullying or reduce its incidence so that children who would otherwise have to suffer the consequences of workplace bullying directed at their parents can develop and thrive in a better, happier and less stressful environment.

With a labor force of 3.88 million people which represents about half of the local population in Hong Kong [20] and given the high reported prevalence rates of workplace bullying in Western countries as a reference, we cannot under-estimate the extent and severity of the problem on both the victims of workplace bullying and the affected family members. We need to examine how workplace bullying directed at parents will ultimately affect child development so that tailor-made, culturally suitable interventions can be designed to assist the victims.

Workplace bullying and parenting

Workplace bullying causes high levels of stress in victims over a prolonged period of time and chronic stress has been found to be associated with adverse family functioning [17] and parent-child dyads [21]. In particular, the increased stress, anger and anxiety resulting from work stress may change the communication patterns with family members. There is less positive interaction with spouse and children because victims are preoccupied by the bullying experience and by the need to talk about the bullying experience. The victims are often withdrawn at home, so they will be perceived as inaccessible and disengaged [22].

The overwhelming negative feelings brought about by workplace bullying may cause the victims to have more conflicts with their spouse over even trivial matters due to mood swings. Duffy and Sperry [23] highlighted that workplace bullying has a significant impact on marriage as adverse feelings from workplace bullying lead to an increase in marital tension. Children living in a family with frequent conflicts also exhibit more problems in terms of social, emotional, and behavioral functioning [24]. This idea is also supported by several Western studies investigating the possible impact of work stressors on parenting, which found that parents who are exposed to chronic job stress appear to be more controlling with their children so that the parent-child relationships are characterized by less cohesion and more conflict [25].

Theoretical framework: Ecological systems theory

The proposed study will adopt Bronfenbrenner’s ecological systems theory [26] as a theoretical framework to understand how the environment affects children development. Based on Bronfenbrenner’s original theory, the context has four distinct concentric systems (micro, meso, exo, and macro), and each system can have a direct or indirect impact on a child’s development. A fifth system (chrono) was later included in the model. A brief illustration of Bronfenbrenner’s ecological systems theory relevant to this study is outlined below.

The microsystem is the first level or innermost layer of Bronfenbrenner’s ecological model. It is the most immediate environment including groups and institutions which the child has direct interactions with. Children’s microsystems include immediate relationships (family, playmates) or organizations (schools) where the proximal processes occur [27]. The relationships at this level can be bidirectional as the family of the child can influence the child’s behavior and his/her behavior can influence the family. The second immediate level is the mesosystem. It connects two or more different microsystems such as home and school. For instance, what happens in a microsystem, such as the home in which a child lives, can have an impact on the way the child behaves at school, and what happens at school can also affect the child’s behavior at home. The exosystem constitutes the third layer and children do not have direct interactions at this level. However, the system still has an indirect impact on a child’s development because it contains the micro and mesosystems. Thus, if the wellbeing of the people who have direct contact with children is affected, this may have consequences for the wellbeing of those children too. For example, a parent’s workplace schedule such as shift work may prevent a parent from coming home early enough to see their child before bedtime, depriving the child of parental care. By applying the ecological systems theory into the present study, it is hypothesized that parents who are victims of workplace bullying affect the child’s development through their parenting, which matches with the concept of exosystem and with the idea that, although children may not be the direct victims of workplace bullying, they may be indirect victims due to the poor parenting practices of parents resulting from workplace bullying. Therefore, if the negative emotions induced by workplace bullying affect parental behavior and parenting practices towards children, this may ultimately cause children to suffer and become indirect victims of workplace bullying.

Study objectives

The objectives of the study are:

  1. 1.

    To estimate the annual and lifetime prevalence of workplace bullying in Hong Kong;

  2. 2.

    To test in a hypothesized model the mediating role of parenting on the relationship between parents who are victims of workplace bullying and child’s health, psychological well-being, behaviors and school adjustment (see Fig. 1);

  3. 3.

    To explore whether parents being bullied at baseline is predictive of any explanatory variables (children’s health, psychological well-being, problem behaviors and school adjustment) at follow-up.

Fig. 1
figure 1

A hypothesized model of the effects of workplace bullying and parenting on the child’s health, psychological well-being, problem behaviors and school adjustment


Study design

The study is a longitudinal survey. Two waves of data collection will be separated by a 1-year interval. In order to examine the cause and effect relationship between parents who are victims of workplace bullying at baseline and the potentially adverse impact on their child’s well-being at follow-up via poor parenting, a longitudinal design is needed.

Definition of workplace bullying

A definition is needed to measure the problem of workplace bullying. However, there is no universally agreed-upon definition for workplace bullying. Based on an exhaustive literature review, the operational definitions of workplace bullying often consist of five characterizing elements which are, “(1) victims experience negative behavior; (2) behaviors are experienced persistently; (3) victims experience some harm, either psychological or physical; (4) victims perceive they have less power than the bully and, thus have difficulty defending themselves; and (5) victims label themselves “bullied” [28] (p. 273) and other definitional criteria, e.g., intent and behavior that violated a standard of appropriate workplace behavior” [29] (p. 347). The definition formulated by Einarsen, Hoel, Zapf, and Cooper [30] has been commonly used in the West and using the same definition will therefore enable the comparison of findings from the present study with existing research conducted in the West. Einarsen, Hoel, Zapf, and Cooper’s [30] definition states that “bullying at work means harassing, offending, socially excluding someone or negatively affecting someone’s work tasks. In order for the label bullying (or mobbing) to be applied to a particular activity, interaction or process it has to occur repeatedly and regularly (e.g., weekly) and over a period of time (e.g., about six months). Bullying is an escalated process in the course of which the person confronted ends up in an inferior position and becomes the target of systematic negative social act” (p. 15).

Sample size and statistical power

Based on a meta-analysis of the prevalence rates of workplace bullying, 11% of the workers in the population experienced workplace bullying [31]. Using a smaller margin of error of 2.5% to guarantee that the correct number of bullied parents will be sampled, and a 95% selected confidence interval, the required sample size should include 585 participants. Assuming a 90% sample acceptance rate, the sample required should increase to 669 participants. However, for longitudinal studies, the longer the follow-up period, the higher the drop-out rate [32] with attrition rates ranging from 30 to 70% being often reported [33]. Since this study is a school-based study, the attrition rate is estimated to be approximately 20% after a year for the longitudinal study based on previous studies on schoolchildren [34, 35], therefore a sample size of at least 837 dyads (parents and children) is required.


The inclusion criteria for parents, teachers and students are listed below:

  1. (1)

    Parents: (i) Chinese; (ii) aged 18 or above; (iii) currently working either full-time or part-time; and (iv) having at least one child studying in Primary One to Primary Five.

  2. (2)

    Teachers: Class teachers of Primary One to Primary Five will be invited to join. If class teachers decline, subject teachers teaching the same classes as class teachers will be invited. Teachers teaching major subjects (Chinese, English and Mathematics) will first be invited, followed by teachers teaching other subjects. This is because teachers of major subjects give lessons every day and they know students better.

  3. (3)

    Children: Chinese students studying Primary One to Primary Five at selected schools will be invited to join the study, with the exclusion of those with cognitive and learning problems.

The exclusion criteria are the following:

  1. (1)

    Parents: stay-at-home mothers and fathers

  2. (2)

    Children: Students of Primary Six are excluded because they will already have left primary school at the time of the follow-up data collection.

Recruitment of participants

The participants of this study are Chinese parents who are currently working full-time or part-time, class teachers and Primary One to Primary Five students studying in local primary schools from 18 districts in Hong Kong. Primary schools will be randomly selected from the school lists by district posted on the website of the Education Bureau ( International primary and special needs schools will be excluded. Emails will be sent to the randomly selected schools on the school lists. If principals from any schools are not replying they will be contacted by phone a week later. If the school declines to join the study, another school randomly selected from the list in the same district will be invited. One primary school from each of the 18 districts of Hong Kong will be invited to join the study so as to cover the entire Hong Kong territory and increase the representativeness. Ethics approval from the Human Research Ethics Committee at the corresponding author’s university has been sought. Written consent from all the participants will be obtained prior to data collection.

Data collection

Procedures of data collection at baseline – Parents

After the schools agree to join the study, letters of invitation to the parents of primary students studying Primary One to Primary Five in those schools will be sent over. Parents will be required to respond to the invitation by accepting or refusing the invitation. Collecting both yes and no reply forms is a useful measure to ensure that all parents were effectively given the letter of invitation by their children. All consenting parents will then receive the questionnaire and instructions for completing the questionnaire in a sealed envelope via their children. Each parent will complete the questionnaire independently and the completed questionnaire will be placed in a sealed envelope which will be provided along with the questionnaire. The completed questionnaire will be returned by the children to the class teachers on the specified date, who will then hand them over to the PI. Participating parents will use their child’s unique Student Reference Number (STRN) provided by the Education Bureau in order to keep their identity anonymous and to match individual data correctly as the follow-up data will be collected after a 1-year interval.

Procedures of data collection at baseline – Teachers

The consenting class teachers of the participating schools will complete questionnaires for students who agreed to join the study. The class teachers will be given a list of the students’ class number so that they can rate their behaviors and academic performance. Once completed, each class teacher will place the completed questionnaires and the list in a large sealed envelope provided for collection.

Procedures of data collection at baseline – Students

Primary One to Primary Five students will be encouraged to complete the questionnaire in class or at home depending on the school arrangement. Since primary students may not be able to understand the questions in the questionnaire, special arrangement will be made. In each classroom, the questions will be read aloud by the PI or a trained research assistant while students rate each item. Some trained research assistants will also be there to help monitor the students’ progress throughout the completion of the questionnaires. They will answer questions about individual items, re-read questions, and make sure that students complete the questionnaires at a similar pace. Adequate time will be given for completing the questionnaires. This data collection procedure is commonly used in many local studies with young students [36].

Follow-up (1-year interval)

The same procedure will be used for the follow-up data collection with parents, teachers and children.

Outcome measures

The key variables in the hypothesized model (see Fig. 1) were proposed because workplace bullying has a severe impact on the psychological well-being of bullied individuals. Children whose parents are stressed are at a greater risk of developing depressive symptoms. Stressed parents are less supportive and more neglectful of children, which in turn affects children’s health and causes more internalizing and externalizing problems [37]. Some externalizing problems are exhibited in common problematic behaviors among children such as aggression, lying, and disrespect towards adults. In addition, since bullied parents are likely to be less involved in their children’s academic studies, children’s academic performance may also be affected, which in turn has an impact on children’s self-esteem.

Primary outcomes

The primary outcomes of this study are psychological well-being, physical health, externalizing problem behavior and academic adjustment.

  1. (1)

    Psychological well-being

Students completed the following scales so their psychological well-being could be assessed:

  1. (i)

    Center for Epidemiology Studies – Depression Scale (CES-D) (Chinese version);

  2. (ii)

    Rosenberg’s Self-Esteem Scale (Chinese version).

  1. (i)

    Child depression. It will be measured by the 20-item Chinese version of the Center for Epidemiology Studies – Depression Scale (CES-D) [38]. The 20 items are rated on a 4-point Likert scale, ranging from 0 “Rarely or none of the time” to 3 “Most or all of the time”, such as “I felt depressed”, “I had trouble keeping my mind on what I was doing”, with total scores ranging from 0 to 60 and a higher score indicating a higher level of depression. A total score of 15 or above indicates a risk of depression. The scale has been translated into Chinese, yielding good internal consistency and concurrent and construct validity [39].

  1. (ii)

    Self-esteem. Child self-esteem will be assessed by the Chinese version of the Rosenberg’s Self-Esteem Scale (RSE) [40]. The scale contains 10 items to measure global self-esteem such as “I take a positive attitude toward myself” on a 4-point Likert scale (1 = strongly disagree; 4 = strongly agree). Higher scores show higher level of self-esteem. The scale has good psychometric properties and the validity of RSE has been well established among the Chinese samples [41].

  1. (2)

    Physical health

  1. (i)

    Child’s physical health. Three single-item measures of physical health will be used, using a 4-point Likert scale ranging from “Never” (0) to “Often” (3): (i) a subjective indicator (“How would you rate your child’s physical health since his/her birth in comparison with other children?”), (ii) “In the past 6 months, how would you rate your child’s health in comparison with other children?” and (iii) "In the past 6 months, how often did your child have the following health problems? (a) hard to fall asleep, (b) abdominal pain, (c) stomachache, (d) fever, (e) cough, (f) running nose / flu.

  1. (3)

    Child externalizing problem behavior. Twenty self-constructed items will be used to measure children’s externalizing problem behavior rated by parents using reference to Child Behavior Checklist [42] and based on the interviews with parents in the focus groups prior to the construction of the questionnaire for the Chinese context. Items are rated on a 4-point Likert scale, ranging from 0 “never” to 3 “very often”. This scale comprises typical externalizing problem behaviors for children such as “lies”, “vandalism”, “fighting”, “addiction to online gaming”. Both parents and teachers will rate the external problems of children as they may behave differently at home and at school. Students will also ask to rate whether they are satisfied with their conduct in a 5-point Likert scale ranging from “very poor” (1) to “very good” (5).

  1. (4)

    Academic adjustment. Teachers will be asked to provide information regarding (i) the student’s position in class and the whole form in the last academic year and the current year (Primary One students will use the results in the first semester); (ii) examination scores for three major subjects (Chinese, English, and Mathematics) will be obtained for the previous year and the current year. Students will also be asked whether they are satisfied with their results in Chinese, English, Mathematics and their overall academic performance.

Secondary outcomes

  1. (i)

    Annual and lifetime prevalence of workplace bullying. Two single-item measures of workplace bullying will be completed by working parents. For the annual prevalence, an item such as “Have you ever been bullied at work over the last 12 months?” (Options: Never bullied/Yes, rarely/Yes, sometimes/Yes, Often). For lifetime prevalence of workplace bullying, an item such as “Have you ever been bullied at work in your life?” (Options: Never bullied/ Yes, rarely/Yes, sometimes/Yes, Often).

  2. (ii)

    Workplace bullying. The Chinese Workplace Bullying Scale (CWBS) [43] with some adaptation will be used to measure bullying behaviors in the workplace in the local context (e.g., “I am assigned work with heavy loads.”, “Someone withholds information deliberately to hinder my work performance”). Items are changed to rate on a 4-point Likert scale, ranging from 0 “never” to 4 “Often”. Based on the interview with the participants for designing the questionnaires, more items such as “My current work exceeds the scope of the contract”, “My efforts at work have been ignored” have been included in the original scale to suit the local context. The original scale has showed good validity and reliability [43].

  3. (iii)

    Mental health. The General Health Questionnaire-12 (GHQ-12; Chinese version) [44] contains 12 items and will be used to measure the severity of mental problems of parents over the past 4 weeks using a 4-point scale (from 0 “less than usual” to 3 “much more than usual”). Items 1, 3, 4, 7, and 12 were scored inversely and the total scores range from 0 to 36, with higher scores showing poor mental health. The scale has proven to be valid and reliable e.g., [45, 46].

  4. (iv)

    Life satisfaction. The Satisfaction with Life Scale (SWLS-Chinese version) [47] will be used to measure the working parents’ perceptions about life satisfaction. It consists of five items which assess an individual’s global cognitive judgment of their life satisfaction (e.g., “I am very satisfied with my living conditions”. Items are rated on a 7-point scale, ranging from 1 “strongly disagree” to 7 “strongly agree”. A composite score will be calculated to obtain the mean of the life satisfaction. Adequate reliability has been reported [48].

  5. (v)

    Parenting. Five items to assess students’ perceptions of parenting (ranging from 1 “never” to 4 “often”). Examples of which are: “In the last six months, how often did your father scold you because of his work stress?”; “In the last six months, how often did your father punish you physically because of his work stress?”.

The details of the scales for measuring the primary and secondary outcomes are summarized in Table 2.

Table 2 Measurements used for measuring primary and secondary outcomes

Data analyses

Statistical analyses will be performed using SPSS. Data will be summarized and presented using appropriate descriptive statistics. The normality of continuous variables will be assessed by skewness and kurtosis statistics and normal probability plot. Skewed variables will be suitably transformed before being entered into statistical analyses. Cronbach’s alpha will be calculated to assess the reliability of the instruments. Pearson correlation analyses will be used to examine the relationships among variables. Cross-sectional data will be used and percentages will be reported for annual and lifetime prevalence of workplace bullying. All statistical tests will be two-tailed and a p-value of less than 0.05 will be considered significant.

Structural equation modelling (SEM) will be used to test the model by using Mplus version 8.0 software package [49]. As missing data can bias results, reduce estimation efficiency, and complicate data analyses, we will estimate the missing data by using Markov Chain Monte Carlo multiple imputation (MCMC-MI), which is more effective than deletion, mean substitution, or simple imputation [50]. The explanatory model will be tested with a structural equation model which reduces the impact of measurement error in the indices and properly models indirect mediation effects [51].

Time frame for the study

The study started in January 2017 and will last for 30 months. The data collection at Time One has already been completed and data collection for Time Two will commence in September 2018. The whole study will be completed in June 2019 (see Table 3).

Table 3 Timeline for data collection


This study expands the existing literature which focuses on researching the effects of workplace bullying on victims only but has never explored the spillover effects on the victims’ families, in particular, the victims’ children. The study will ascertain whether workplace bullying could lead to serious consequences on children. By exposing the harmful effects of workplace bullying on workers, this study will shed light on the indirect impact of workplace bullying on children’s physical and mental health, externalizing problem behaviors and academic performance via the poor parenting of workers due to chronic stress and/or depressed feelings. Since previous research has indicated that workplace bullying can affect the mental health of workers and since it has been shown that the impaired mental health of parents may have an impact on children development, the findings of this study are therefore expected to highlight the negative consequences of workplace bullying on children and emphasize the urgent need to eliminate bullying in the workplace.

The present study has a number of strengths. First, the study is original because workplace bullying is an under-researched area in Asia and the spillover effects from the workplace environment on parenting has never been researched in the Chinese and Western contexts. In addition, the originality of the study lies in the innovation of its research topic, which covers several areas simultaneously. Workplace bullying belongs to the area of organizational psychology, while child development belongs to the field of developmental psychology. Studying the selected variables simultaneously will therefore enable researchers to better understand the impact of workplace bullying as a growing public health and social issue. Second, the majority of studies on workplace bullying are cross-sectional studies, but the present study will adopt a longitudinal design. It will be interesting to determine whether workplace bullying has any impact on parenting which in turn can affect children health, behavior and academic results over time in the same households. Thirdly, the current study will use multiple informants’ reports, including children, parents and teachers to assess children. Fourthly, this study will yield findings from a large representative sample size because the participants will be recruited from 18 primary schools located in the 18 districts of Hong Kong. Finally, sophisticated data analysis techniques will be used to determine whether parenting mediates the variables of workplace bullying and child’s health, behavior and academic performance. Overall, this study shows significance at different levels, at the individual (i.e., children’s health), familial (parenting), economical and societal levels.

There are some limitations to this study. First, the samples will be Chinese children in Hong Kong, there is a need to replicate the findings in different Chinese communities such as in mainland China and communities in Western contexts. Second, the study is based on self-reported questionnaires so there might be a risk that the participants will only provide socially desirable answers. Therefore, future studies can consider including qualitative interviews to better understand the mechanism of how workplace bullying affects the health of children.

Despite those limitations, to the best of our knowledge, this is a pioneering study in Asia exploring the indirect effects of workplace bullying on family members. The results will be informative and will help the research community and other relevant public services and any other relevant non-governmental organizations (NGOs) make concerted efforts to prevent bullying in the workplace and promote safe and respectful relationships at work which in turn will help improve the mental health of the working population.



Non-governmental organizations


Student Reference Number


  1. Srabstein JC, Leventhal BL. Prevention of bullying-related morbidity and mortality: a call for public health policies. Bull World Health Organ. 2010;88:403–4.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Finne LB, Knardahl S, Lau B. Workplace bullying and mental distress - a prospective study of Norwegian employees. Scand J Work Environ Health. 2011;37(4):276–87.

    Article  PubMed  Google Scholar 

  3. Grynderup MB, Nabe-Nielsen K, Lange T, Conway PM, Bonde JP, Garde AH, Gullander M, Kaerlev L, Persson R, Rugulies R. The associations between workplace bullying, salivary cortisol, and long-term sickness absence: a longitudinal study. BMC Public Health. 2017;17(1):710–21.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  4. Nielsen MB, Nielsen GH, Notelaers G, Einarsen S. Workplace bullying and suicidal ideation: a 3-wave longitudinal Norwegian study. Am J Public Health. 2015;105(11):e23–8.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Einarsen S: Mobbing og Harde Personkonflikter: Helsefarlig samspill på arbeidsplassen [Bullying and severe interpersonal conflicts. unhealthy interaction at work]. Bergen: Norway: Sigma Forlag; 1994.

  6. Leach LS, Poyser C, Butterworth P. Workplace bullying and the association with suicidal ideation/thoughts and behaviour: a systematic review. Occup Environ Med. 2017;74(1):72–9.

    Article  PubMed  Google Scholar 

  7. Kivimäki M, Virtanen M, Vartia M, Elovainio M, Vahtera J, Keltikangas-Järvinen L. Workplace bullying and the risk of cardiovascular disease and depression. Occup Environ Med. 2003;60(1):779–83.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Bonde JP, Gullander M, Hansen ÅM, Grynderup M, Persson R, Hogh A, Willert MV, Kaerlev L, Rugulies R, Kolstad HA. Health correlates of workplace bullying: a 3-wave prospective follow-up study. Scand J Work Environ Health. 2016;42(1):17–25.

    Article  PubMed  Google Scholar 

  9. Xu T, Hanson LLM, Lange T, Starkopf L, Westerlund H, Madsen IE, Rugulies R, Pentti J, Stenholm S, Vahtera J. Workplace bullying and violence as risk factors for type 2 diabetes: a multicohort study and meta-analysis. Diabetologia. 2018;61(1):75–83.

    Article  CAS  PubMed  Google Scholar 

  10. Yoo G, Lee S. It doesn’t end there: workplace bullying, work-to-family conflict, and employee well-being in Korea. Int J Environ Res Public Health. 2018;15(7):1548–61.

    Article  PubMed Central  Google Scholar 

  11. Naito S. Workplace bullying in Japan. 2013. Accessed 10 Sept 2018.

  12. Chen A. Half of Hong Kong workers bullied, with most suffering in silence: Survey. 2013. Accessed 17 Sept 2018.

  13. UBS. UBS prices and earnings 2015: Zurich, Geneva and New York city are the most expensive cities in the world; Chicago in seventh place. 2015. Accessed 13 Sept 2018.

  14. Liu J, Kwan HK, Lee C, Hui C. Work-to-family spillover effects of workplace ostracism: the role of work-home segmentation preferences. Hum Resour Manag. 2013;52(1):75–94.

    Article  Google Scholar 

  15. Lives F. The effect of workplace bullying on family relationships: from family life to family strife. 2012. Accessed 27 Aug 2016.

  16. Zapf D, Einarsen S. Individual antecedents of bullying: victims and perpetrators. In: Einarsen S, Hoel H, Zapf D, Cooper C, editors. Bullying and emotional abuse in the workplace: International perspectives in research and practice. London: Taylor & Francis; 2003. p. 165–84.

    Google Scholar 

  17. Stewart W, Barling J. Fathers' work experiences effect children's behaviors via job-related affect and parenting behaviors. J Organ Behav. 1996;17(3):221–32.

    Article  Google Scholar 

  18. Mokeyane K. How does bad parenting affect children? 2017. Accessed 17 July 2018.

  19. Lee F, Tiedens LZ. Is it lonely at the top? The independence and interdependence of power holders. Res Organ Behav. 2001;23:43–91.

    Article  Google Scholar 

  20. Department L. Hong Kong: the facts. Employment 2018. https://wwwgovhk/en/about/abouthk/factsheets/docs/employmentpdf. Accessed 27 July 2018.

  21. Repetti RL, Wood J. Families accommodating to chronic stress: unintended and unnoticed processes. In: Gottlieb B, editor. Coping with chronic stress. New York: Plenum Press; 1997. p. 191–220.

    Chapter  Google Scholar 

  22. Crouter AC, Bumpus MF. Linking parents' work stress to children's and adolescents' psychological adjustment. Curr Dir Psychol Sci. 2001;10(5):156–9.

    Article  Google Scholar 

  23. Duffy M, Sperry L. Workplace mobbing: individual and family health consequences. Fam J. 2007;15(4):398–404.

    Article  Google Scholar 

  24. Morrison DR, Coiro MJ, Blumenthaf C. Marital disruption, conflict, and the wellbeing of children. Accessed 12 Sept 2018.

  25. Daniels D, Moos RH. Exosystem influences, family environment, and child functioning. J Soc Behav Pers. 1988;3(4):113–33.

    Google Scholar 

  26. Bronfenbrenner U. The ecology of human development: experiments by nature and design. Cambridge: Harvard University Press; 1979.

    Google Scholar 

  27. Krishnan V. Early childhood development: A conceptual model. Paper presented at the Early Childhood. Annual Conference ‘Valuing Care’, Christchurch Convention Convention Centre, New Zealand. 2010.

  28. Rayner C, Keashly L. Bullying at work: a perspective from Britain and North America. In: Foxm S, Spector P, editors. Counterproductive work behavior. Washington: DC: American Psychological Association; 2004. p. 271–96.

    Google Scholar 

  29. Saunders P, Huynh A, Goodman-Delahunty J. Defining workplace bullying behaviour professional lay definitions of workplace bullying. Int J Law Psychiatry. 2007;30:340–54.

    Article  PubMed  Google Scholar 

  30. Einarsen S, Hoel H, Cooper C. Bullying and emotional abuse in the workplace: international perspectives in research and practice. London: Taylor & Francis; 2003.

    Book  Google Scholar 

  31. Nielsen MB, Matthiesen SB, Einarsen S. The impact of methodological moderators on prevalence rates of workplace bullying: a meta-analysis. J Occup Organ Psychol. 2010;83(4):955–79.

    Article  Google Scholar 

  32. Schaffer HR. Social development. Oxford: Blackwell Publishers Inc.; 1996.

    Google Scholar 

  33. Gustavson K, von Soest T, Karevold E, Røysamb E. Attrition and generalizability in longitudinal studies: findings from a 15-year population-based study and a Monte Carlo simulation study. BMC Public Health. 2012;12(1):918–29.

    Article  PubMed  PubMed Central  Google Scholar 

  34. James J, Thomas P, Kerr D. Preventing childhood obesity: two year follow-up results from the Christchurch obesity prevention programme in schools (CHOPPS). BMJ. 2007;335:762–6.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Xu F, Marchand S, Corcoran C, DiBiasio H, Clough R, Dyer CS, Nobles J, White J, Greaney ML, Greene GW. A community-based nutrition and physical activity intervention for children who are overweight or obese and their caregivers. J Obes. 2017;2017:9.

    Article  Google Scholar 

  36. Chang L, McBride-Chang C, Stewart SM, Au E. Life satisfaction, self-concept, and family relations in Chinese adolescents and children. Int J Behav Dev. 2003;27(2):182–9.

    Article  Google Scholar 

  37. Services NDoC. Parental mental health and its impact on children. 2008. Accessed 20 Aug 2018.

  38. Radloff LS. The CES-D scale: a self-report depression scale for research in the general population. Appl Psychol Meas. 1977;1(3):385–401.

    Article  Google Scholar 

  39. Lee SW, Stewart SM, Byrne BM, Wong JP, Ho S, Lee PW, Lam T. Factor structure of the Center for Epidemiological Studies Depression scale in Hong Kong adolescents. J Pers Assess. 2008;90(2):175–84.

    Article  PubMed  Google Scholar 

  40. Rosenberg M. Society and the adolescent self-image. Princeton: NJ: Princeton University Press; 1965.

    Book  Google Scholar 

  41. Chen SX, Cheung FM, Bond MH, Leung JP. Going beyond self-esteem to predict life satisfaction: the Chinese case. Asian J Soc Psychol. 2006;9(1):24–35.

    Article  CAS  Google Scholar 

  42. Achenbach T. Child behavior checklist for children ages 6–18 (CBCL/6–18). ASEBA: Achenbach system of empirically based assessment website. 2006. Accessed 10 July 2018.

  43. Li YX, Nie GH, Li YM, Wang MH, Zhao GX. The Chinese Workplace Bullying Scale (CWBS)–the structure and validation. In: Lam I, Zhou S, Wan G, editors. Psychological and health-related assessment tools developed in China. U.S.A.: Bentham Science Publishers; 2010. p. 45–54.

    Google Scholar 

  44. Goldberg DP, Williams P: A user’s guide to the General Health Questionnaire. Windsor: NFER-NELSON Publishing Company Ltd.; 1988.

  45. Chan DW. The Chinese version of the general health questionnaire: does language make a difference? Psychol Med. 1985;15(1):147–55.

    Article  CAS  PubMed  Google Scholar 

  46. Shek DT. Factor structure of the Chinese version of the general health questionnaire (GHQ-30): a confirmatory factor analysis. J Clin Psychol. 1993;49(5):678–84.

    Article  CAS  PubMed  Google Scholar 

  47. Diener E, Emmons RA, Larsen RJ, Griffin S. The satisfaction with life scale. J Pers Assess. 1985;49(1):71–5.

    Article  CAS  PubMed  Google Scholar 

  48. Shek DT. Actual-ideal discrepancies in the representation of self and significant others and psychological well-being in Chinese adolescents. Int J Psychol. 1992;27:229.

    Google Scholar 

  49. Muthén LK, Muthén BO. Mplus user's guide, sixth edn. Los Angeles: CA: Muthén & Muthén; 2004.

    Google Scholar 

  50. Peugh JL, Enders CK. Missing data in educational research: a review of reporting practices and suggestions for improvement. Rev Edu Res. 2004;74(4):525–56.

    Article  Google Scholar 

  51. Jöreskog K, Sörbom D. LISREL 9.2. New York: Scientific Software International; 2015.

    Google Scholar 

  52. Sansone RA, Sansone LA. Workplace bullying: a tale of adverse consequences. Innov Clin Neurosci. 2015;12(1–2):32–7.

    PubMed  PubMed Central  Google Scholar 

  53. Voss M, Floderus B, Diderichsen F. Physical, psychosocial, and organisational factors relative to sickness absence: a study based on Sweden post. J Occup Environ Med. 2001;58(3):178–84.

    Article  CAS  Google Scholar 

  54. Varhama LM, Björkqvist K. Conflicts, workplace bullying and burnout problems among municipal employees. Psychol Rep. 2004;94(3_suppl):1116–24.

    Article  PubMed  Google Scholar 

  55. Niedhammer I, David S, Degioanni S. Economic activities and occupations at high risk for workplace bullying: results from a large-scale cross-sectional survey in the general working population in France. Int Arch Occup Environ Health. 2007;80(4):346–53.

    Article  PubMed  Google Scholar 

  56. Matthiesen SB, Einarsen S. Perpetrators and targets of bullying at work: role stress and individual differences. Violence Vict. 2007;22(6):735–53.

    Article  PubMed  Google Scholar 

  57. Ortega A, Høgh A, Pejtersen JH, Olsen O. Prevalence of workplace bullying and risk groups: a representative population study. Int Arch Occup Environ Health. 2009;82(3):417–26.

    Article  PubMed  Google Scholar 

  58. Giorgi G, Arenas A, Leon-Perez JM. An operative measure of workplace bullying: the negative acts questionnaire across Italian companies. Ind Health. 2011;49(6):686–95.

    Article  PubMed  Google Scholar 

  59. Glasø L, Bele E, Nielsen MB, Einarsen S. Bus drivers’ exposure to bullying at work: an occupation-specific approach. Scand J Psychol. 2011;52(5):484–93.

    Article  PubMed  Google Scholar 

  60. Lallukka T, Rahkonen O, Lahelma E. Workplace bullying and subsequent sleep problems-the Helsinki health study. Scand J Work Environ Health. 2011;37(3):204–12.

    Article  PubMed  Google Scholar 

  61. Notelaers G, Vermunt JK, Baillien E, Einarsen S, De Witte H. Exploring risk groups workplace bullying with categorical data. Ind Health. 2011;49(1):73–88.

    Article  PubMed  Google Scholar 

  62. Perbellini L, Tisato S, Quintarelli E, Dal PS, Pelizza L, Riolfi A, Zonzin C, Romeo L. Mental disorders related to persistent negative working conditions. Med Lav. 2012;103(6):437–48.

    CAS  PubMed  Google Scholar 

  63. Keuskamp D, Ziersch AM, Baum FE, LaMontagne AD. Workplace bullying a risk for permanent employees. Aust N Z J Public Health. 2012;36(2):116–9.

    Article  PubMed  Google Scholar 

  64. Niedhammer I, Sultan-Taïeb H, Chastang J-F, Vermeylen G, Parent-Thirion A. Exposure to psychosocial work factors in 31 European countries. Occup Med. 2012;62(3):196–202.

    Article  CAS  Google Scholar 

  65. Cunniff L, Mostert K. Prevalence of workplace bullying of south African employees. SA J Hum Resour Manag. 2012;10(1):1–15.

    Google Scholar 

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I would like to thank all primary schools, teachers, parents, and students who joined the study.


This project is funded by the Early Career Scheme of the Research Grants Council, Hong Kong SAR (Project number: 28605516). The study funder has no role in study design; collection, management, analysis and interpretation of data; writing the manuscript; and the decision to submit the manuscript for publication.

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CN planned and designed this study. She also carried out the study and drafted the manuscript. The author read and approved the final manuscript.

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Correspondence to Catalina Sau Man Ng.

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Ethical approval for this study has been provided by the Human Research Ethics Committee (HREC) of the Education University of Hong Kong (2015–2016-0149). All participants will be asked to give written consent prior to the beginning of the study. The informed consent form will be sent to the schools whose principals agreed to join. Teachers will help distribute the informed consent forms to all parents via students. Parents will give their consent as to whether they agree to join the survey. Parents will also be required to complete a separate informed consent form for their child. The completed consent forms will be returned to us via teachers. Informed consent forms will also be sent to teachers. After collecting all the consent forms from parents and teachers, questionnaires will be delivered to schools to consenting parents and teachers.

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Ng, C.S.M. Effects of workplace bullying on Chinese children’s health, behaviours and school adjustment via parenting: study protocol for a longitudinal study. BMC Public Health 19, 129 (2019).

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