Corporal punishment bans and physical fighting in adolescents: an ecological study of 88 countries.

OBJECTIVE: To examine the association between corporal punishment bans and youth violence at an international level.
DESIGN: Ecological study of low-income to high-income 88 countries.
SETTING: School-based health surveys of students. PARTICIPANTS: 403 604 adolescents.
INTERVENTIONS: National corporal punishment bans. PRIMARY OUTCOME MEASURE: Age-standardised prevalence of frequent physical fighting (ie, 4+ episodes in the previous year) for male and female adolescents in each country.
RESULTS: Frequent fighting was more common in males (9.9%, 95% CI 9.1% to 10.7%) than females (2.8%, 95% CI 2.5% to 3.1%) and varied widely between countries, from 0.9% (95% CI 0.8% to 0.9%) in Costa Rican females to 34.8% (95% CI 34.7 to 35.0) in Samoan males. Compared with 20 countries with no ban, the group of 30 countries with full bans (in schools and in the home) experienced 69% the rate of fighting in males and 42% in females. Thirty-eight countries with partial bans (in schools but not in the home) experienced less fighting in females only (56% the rate found in countries without bans).
CONCLUSIONS: Country prohibition of corporal punishment is associated with less youth violence. Whether bans precipitated changes in child discipline or reflected a social milieu that inhibits youth violence remains unclear due to the study design and data limitations. However, these results support the hypothesis that societies that prohibit the use of corporal punishment are less violent for youth to grow up in than societies that have not. © Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

The Health Behaviour in School-aged Children study and Global School-based Health Survey are well-established international surveys of adolescents.

The study includes a diverse sample of countries and is one of the largest cross-national analyses of youth violence.

Causal associations could not be inferred due to data gaps and the ecological study design.

It remains unclear whether bans precipitate change in child discipline or reflect a social milieu that inhibits youth violence.

Introduction

Corporal punishment is an adult’s use of physical force to correct or control a child’s inappropriate behaviour.1 2 The punishment is intended to cause pain but does not physically injure the child. Its use remains legally and socially permitted in many countries. Unicef reported that an estimated 17% of adolescents worldwide have experienced corporal punishment either at school or in the home during the past month.3 Proponents of corporal punishment argue that physical discipline is benign or even beneficial to the long-term health of the child.4 However, a persuasive body of evidence challenges this view. Several independent investigations have found that children’s exposure to corporal punishment relates to aggressive behaviours,5–10 mental health problems,11–15 academic problems and related cognitive deficits.16–18 Such outcomes have lifelong consequences for adult health and well-being. A meta-analysis of 75 studies found that childhood exposure to spanking, the most common form of corporal punishment, predicted 13 of 17 negative outcomes including aggression, antisocial behaviour, mental health problems, low self-esteem and physical abuse, and to antisocial behaviour and poor mental health in adulthood.15 A study of partner violence in six Asian and Pacific countries found that men’s experience of harsh physical parenting during their childhood related to violence against women in adulthood.19

Various psychological theories have been used to describe the possible underlying pathways in the association between corporal punishment and youth violence. According to social learning and social interaction theories, children and adolescents learn from corporal punishment that physical violence is an effective and permissible way of settling conflicts and influencing the behaviour of others.20 21 Script theory suggests that repeated corporal punishment constructs a stable set of beliefs (ie, cognitive script) in the child’s mind that becomes increasingly salient and accessible depending on the frequency of corporal punishment.22 Similarly, the general aggression model describes how repeated exposures to corporal punishment reinforce aggressive thoughts, emotions and actions towards others.23 These theories help to explain the intergenerational cycle of physical violence from early childhood experiences to later violent behaviour.

Moreover, a child’s rights perspective recognises that corporal punishment violates children’s rights to personal integrity, human dignity and protection from all forms of violence as guaranteed under the United Nations Convention on the Rights of the Child.24 The Convention states that the elimination of corporal punishment is ‘not only an obligation of States parties’ but also a ‘key strategy for reducing and preventing all forms of violence'.24 The prohibition of corporal punishment might help protect children from harm and support their social development.18 25 However, while legal prohibition has led to decreased use and decreased public support for corporal punishment in some countries,26 the association between bans on corporal punishment and youth physical violence has not been examined at an international level. The reason for this may be a lack of comparable data on youth violence from a large sample of legal jurisdictions. Investigating the association at the country level requires a large and diverse sample of countries so that other social and structural determinants of violence can be controlled with adequate statistical power.

We had an opportunity to examine this association in a large and diverse group of countries, territories and protectorate states (hereafter described collectively as ‘countries’) that carried out similar school-based surveys of adolescents. By harmonising their data in country-level prevalence estimates of frequent physical fighting, our goal was to investigate the association between the legal prohibition of corporal punishment and frequent fighting among adolescents. We hypothesised that national corporal punishment bans were associated with lower rates of fighting among adolescents.

Methods

Data sources

Survey data

Two well-established school-based surveys have measured physical fighting in adolescents: the WHO Health Behaviour in School-aged Children (HBSC) study and the Global School-based Health Survey (GSHS). The HBSC surveys children aged 11, 13 and 15 years in Canada, the USA and most European countries every 4 years following a common protocol.27 Its self-completion questionnaire measures physical fighting with the item: "In the past 12 months, how many times were you in a physical fight (0, 1, 2, 3, 4 or more)?" We used data from 32 countries that participated in the most recent HBSC survey in 2014 (Albania, Armenia, Austria, Belgium, Bulgaria, Canada, Croatia, Czech Republic, Estonia, Finland, Germany, Great Britain, Iceland, Israel, Italy, Latvia, Lithuania, Macedonia, Moldova, The Netherlands, Norway, Poland, Portugal, Romania, Russian Federation, Slovakia, Slovenia, Spain, Sweden and Switzerland). We supplemented these records with data from Turkey and the USA that were collected in the 2010 HBSC survey because they were missing from the 2014 cycle. Data collected in regional surveys in French and Flemish regions of Belgium were combined with equal weight, as were data from England, Scotland and Wales in the UK.

The GSHS provides data on physical fighting among those aged 13–17 years in 55 low-income and middle-income countries. Its questionnaire includes a similar survey item on physical fighting: "In the past 12 months, how many times were you in a physical fight (0, 1, 2–3, 4–5, 6–7, 8–9, 10–11, 12 or more)?" We used data from 55 surveys that were carried out between 2003 and 2016 in Algeria, Belize, Benin, Bolivia, Botswana, Brunei, Cambodia, China, Colombia, Cook Islands, Costa Rica, Dominica, Ecuador, Egypt, El Salvador, Fiji, Ghana, Guyana, Honduras, Indonesia, Iraq, Jamaica, Jordan, Kenya, Kiribati, Kuwait, Malawi, Malaysia, Maldives, Mauritania, Mongolia, Morocco, Myanmar, Oman, Peru, The Philippines, Qatar, Samoa, Solomon Islands, Swaziland, Tajikistan, Tanzania, Thailand, Trinidad and Tobago, Tunisia, Tuvalu, Uganda, United Arab Emirates, Vanuatu, Vietnam, West Bank and Gaza, Yemen, Zambia and Zimbabwe.

Comparable data from New Zealand were supplied by the Youth2012 survey, which used the following item on physical fighting in 8500 children aged 13–18 years in 2012: "In the last 12 months, how many times were you in a serious physical fight (none, 1–2, 3, 4, 5 or more)?"28 Finally, data from South Africa were supplied by the 2011 Youth Risk Behaviour Survey (YRBS) in which 10 707 participants aged 12–25 years were asked "During the past 6 months, how often were you in a physical fight (eg, punching, hitting; never, rarely (one time), sometimes (two or three times), often (four or five times) or very often (six or more times))?"29 Together, our study used 403 604 individual records from 8545 schools in 88 national surveys. Each national survey was weighted to be representative of the country’s population of adolescents. At the time of our analysis, this group of 88 countries were home to approximately 45.7% of the world’s population of adolescents.

Student participation in these surveys was voluntary and active or passive consent was sought from school administrators, parents and children as per national human participant requirements. Youth in private and special needs schools and street and incarcerated youth were excluded. All national surveys used two-stage sampling of schools that represented the geographic and economic diversity in each country, and then classes within schools that provided their target age group. Teachers or trained interviewers administered the survey questionnaire in classroom settings.

Country data

The Global Initiative to End All Corporal Punishment of Children provided data on national prohibition of corporal punishment in the home, alternative care settings, day cares, schools and penal institutions and as a sentence for a crime.30 We categorised the 88 countries in our sample as having either full prohibition (in schools and in the home, which was equivalent to prohibition in all settings; n=30), partial prohibition (in schools but not in the home; n=38) or no prohibition (neither in schools nor in the home; n=20).

A 2014 WHO report on violence supplied contemporary data on relevant country characteristics and antiviolence policies. We used these variables to try to control for other determinants of youth violence and a varying cultural propensity for violence: homicides per 100 000 population, weapons ban in schools, home visitation programmes to prevent child maltreatment, parent education programmes that teach positive discipline techniques and child development and ban on capital punishment.31 We also included World Bank estimates of gross national income per capita to statistically control differences in country wealth.32 33 Income data were adjusted for purchasing parity and reported in standardised current international dollars. The data are summarised in online supplementary table 1.

Data analysis

The analysis was carried out in two phases. We first calculated a weighted, age-standardised prevalence of frequent physical fighting for males and females in each country. Second, these prevalence estimates were linked to other country characteristics in an ecological regression analysis of country differences.

First, we analysed the individual records on all 403 604 cases combined and estimated the prevalence of frequent physical fighting (4+ episodes in the past year) separately in males and females in each country. Age standardisation was required given the slight age differences between the surveys. The cut-point criterion of 4+ episodes of physical fighting was consistent with previous studies of chronic violent behaviour.33 The prevalence estimations were carried out using STATA V.14.2 (StataCorp, College Station, Texas, USA) by fitting a logistic regression model to the data and then estimating the predicted prevalence at age 13 using Stata’s margins command. The analyses used sampling weights and SEs were adjusted for school-level clustering. The intraclass correlation in frequent fighting at the school level was 0.12 (95% CI 0.11 to 0.12), which is indicative of a small clustering effect of school.

We then linked the national prevalence of frequent fighting and SEs of the prevalence to other country-level characteristics (income per capita, homicides, weapons bans, home visits and capital punishment bans; see online supplementary table 1). Income inequality was not included due to its collinearity with homicides (r=0.52, p<0.01). Homicides per 100 000 persons were scaled to homicides per 1 million to better show its associations in regression analyses. The significance of associations between full or partial bans and frequent physical fighting was tested using Poisson regression and reported as incidence rate ratios (IRR). Analytic weights were applied using DerSimonian and Laird’s inverse-variance method (1/SE2), which effectively shifts weight towards more precise prevalence estimates.34 A dummy variable was applied to the models to control fixed effects of unmeasured differences in survey methods between the surveys (coded 0 (HBSC, Youth2012) or 1 (GSHS, South African YRBS)). There were no missing data at the country level.

Goodness of fit of the models to the data was evaluated using the Akaike Information Criterion (AIC)—a measure of model deviance (d) adjusted for the number of parameters (q) in the model (AIC=d+2q), and the more conservative Bayesian Information Criterion (BIC), which also corrects for differences in the number of observations (n) in the model (BIC=d+log(n)×q).35 Smaller AIC and BIC values indicate better model fit. We also used the log-likelihood ratio test to determine whether adding variables to the model significantly improved its fit to the data.

Patient involvement

No patients were involved in developing the research question or the outcome measures, nor were they involved in planning the design, recruitment to and conduct of the study. No patients were asked to advise on the interpretation or writing up of results. There are no plans to disseminate the results of the research to study participants.

Results

Table 1 provides descriptive statistics on the main variables. Frequent physical fighting was more than three times as common in males (9.92%, 95% CI 9.09% to 10.74%) than in females (2.81%, 95% CI 2.48% to 3.13%) and varied widely between countries, from 0.86% (95% CI 0.81 to 0.91) in Costa Rican females to 34.78% (95% CI 34.69 to 34.97) in Samoan males. Per capita incomes ranged from US$360 (Malawi) to US$105 810 (Norway). Homicides ranged from 0 (Iceland) to 8.55 (Honduras) per 1 million. Thirty (34.09%) countries in our sample had prohibited the use of corporal punishment in all settings, 38 (43.18%) prohibited corporal punishment in schools but not in the home and 20 (22.73%) had not prohibited corporal punishment in schools or in the home. Most countries had banned weapons in schools (n=71, 80.68%) and used home visits (n=73, 82.95%) and parent education programmes (n=81, 92.05%) to prevent child maltreatment. Capital punishment was banned in 41 (46.59%) of the countries. The dot plot in figure 1 shows the diversity of low-income, middle-income and high-income countries in the study and heterogeneity in the prevalence of frequent physical fighting. The figure also shows a consistent gender gap in fighting, with a higher prevalence in males than in females in all but two countries (Ghana and Zambia).

Table 1

Summary statistics on 88 countries

Variable	n (%)	Range	Mean	SD	95% CI
Frequent fighting, 1-year prevalence, males (%)		1.82 to 34.78	9.92	6.63	9.09 to 10.74
Frequent fighting, 1-year prevalence, females (%)		0.86 to 26.82	2.81	4.72	2.48 to 3.13
Income per capita (US$, thousands)		0.36 to 105.81	17.16	22.14	12.47 to 21.86
Homicides (per 1  million)		0.00 to 8.55	0.80	1.39	0.51 to 1.10
Corporal punishment ban
in schools and in the home	30 (34.09)				24.81 to 44.78
in schools, not in the home	38 (43.18)				33.08 to 53.89
neither schools nor home	20 (22.73)				15.03 to 32.84
Weapons ban at school	71 (80.68)				70.88 to 87.75
Home visits for child maltreatment	73 (82.95)				73.41 to 89.56
Parent education programme	81 (92.05)				92.05 to 96.22
Capital punishment ban	41 (46.59)				36.27 to 57.21

Frequent fighting is weighted by the inverse variance of the prevalence.

Figure 1

Prevalence of frequent physical fighting in male and female adolescents in 88 countries and territories (sorted by prevalence in males). Details about country probation laws are available at http://www.endcorporalpunishment.org.

Table 2 summarises our regression analysis of frequent fighting in males. We tested four nested models that were progressively more complex. Model 1 tested the crude association between corporal punishment bans and frequent physical fighting whereby the only control was a fixed effect of the school survey. Full bans on corporal punishment (ie, school and home) corresponded with a rate ratio of 0.69 (95% CI 0.49 to 0.99), meaning that countries with full bans had 69% the rate of frequent fighting found in countries without a ban. Partial bans (ie, schools only) did not significantly reduce the rate of fighting in males. In model 2, the association with full bans held up to an added control for country wealth; however, in models 3 and 4 the association was no longer significant after taking other correlates into account (despite no significant associations found with homicides, weapons bans, home visits or parent education programmes and capital punishment). The non-significant changes in goodness of fit, as tested in a log-likelihood ratio test, indicated that these larger models were no more accurate than model 1.

Table 2

Rate ratio of frequent physical fighting in males aged 13 years

Variable	Model 1	P values	Model 2	P values	Model 3	P values	Model 4	P values
Constant	14.81 (8.54 to 25.69)		14.48 (8.52 to 24.62)		14.35 (8.38 to 24.59)		16.05 (8.81 to 29.26)
Survey	0.85 (0.66 to 1.08)	0.19	0.76 (0.51 to 1.13)	0.18	0.77 (0.50 to 1.19)	0.24	0.71 (0.48 to 1.06)	0.09
Corporal punishment ban
No ban (reference category)	1.00		1.00		1.00		1.00
Partial ban (in schools)	0.84 (0.59 to 1.20)	0.33	0.85 (0.59 to 1.22)	0.37	0.86 (0.58 to 1.28)	0.47	0.93 (0.60 to 1.44)	0.73
Full ban (schools and home)	0.69 (0.49 to 0.99)	0.04	0.68 (0.46 to 0.99)	0.04	0.69 (0.46 to 1.05)	0.08	0.74 (0.46 to 1.17)	0.19
Income per capita (US$, thousands)			1.00 (0.99 to 1.00)	0.36	1.00 (0.99 to 1.00)	0.33	1.00 (0.99 to 1.00)	0.44
Homicides (per 1 million)					0.98 (0.90 to 1.06)	0.58	0.98 (0.90 to 1.06)	0.57
Weapons ban at school							0.91 (0.73 to 1.15)	0.45
Home visits for child maltreatment							0.94 (0.62 to 1.42)	0.75
Parent education programmes							1.13 (0.64 to 2.00)	0.66
Capital punishment ban							0.82 (0.59 to 1.15)	0.25
Goodness of fit:
AIC	460.50		460.97		462.74		468.11
BIC	470.41		473.36		477.60		492.88
Deviance (to 2 log likelihood)	−226.25		−225.49		−225.37		−224.05
Likelihood ratio test (vs model 1)			χ2 (df=1)=1.52	0.22	χ2 (df=2)=1.76	0.41	χ2 (df=6)=4.39	0.63

95% CI shown in parentheses.

AIC, Akaike Information Criterion; BIC, Bayesian Information Criterion.

The same analysis applied to frequent physical fighting in females showed a closer association with corporal punishment bans. As shown in table 3, countries with either a full or partial ban on corporal punishment showed significantly lower rates of frequent fighting than in countries without such bans. This time, the associations held up to additional statistical controls in models 2, 3 and 4. The fully adjusted model 4 also indicated that homicides related to higher rates of fighting in females (IRR=1.13 (95% CI 1.01 to 1.26)), although the model’s goodness of fit was not significantly improved over model 1.

Table 3

Rate ratio of frequent physical fighting in females aged 13 years

Variable	Model 1	P values	Model 2	P values	Model 3	P values	Model 4	P values
Constant	5.35 (3.18 to 8.99)		5.94 (3.32 to 10.62)		6.12 (3.43 to 10.91)		6.10 (2.41 to 15.42)
Survey	0.87 (0.57 to 1.33)	0.03	0.80 (0.51 to 1.28)	0.36	0.73 (0.44 to 1.21)	0.22	0.71 (0.43 to 1.20)	0.20
Corporal punishment ban
No ban (reference category)	1.00		1.00		1.00		1.00
Partial ban (in schools)	0.56 (0.33 to 0.95)	0.03	0.57 (0.33 to 0.96)	0.03	0.52 (0.30 to 0.90)	0.02	0.51 (0.28 to 0.92)	0.03
Full ban (schools and home)	0.42 (0.25 to 0.70)	<0.01	0.41 (0.24 to 0.69)	<0.01	0.37 (0.21 to 0.65)	<0.01	0.35 (0.19 to 0.67)	<0.01
Income per capita (US$, thousands)			1.00 (0.99 to 1.00)	0.38	1.00 (0.99 to 1.00)	0.57	1.00 (0.99 to 1.00)	0.35
Homicides (per 1 million)					1.14 (1.01 to 1.28)	0.03	1.13 (1.01 to 1.26)	0.03
Weapons ban at school							1.05 (0.79 to 1.40)	0.73
Home visits for child maltreatment							0.83 (0.52 to 1.32)	0.43
Parent education programmes							1.18 (0.57 to 2.46)	0.65
Capital punishment ban							1.07 (0.74 to 1.55)	0.73
Goodness of fit:
AIC	300.81		302.49		302.42		309.60
BIC	310.72		314.87		317.28		334.37
Deviance (−2 log likelihood)	−146.41		−146.24		−145.21		−144.80
Likelihood ratio test (vs model 1)			χ2 (df=1)=0.33		χ2 (df=2)=2.40		χ2 (df=6)=3.22	0.78

95% CI shown in parentheses.

AIC, Akaike Information Criterion; BIC, Bayesian Information Criterion.

Using model 1 as the most parsimonious representation of the data, we then calculated the predicted prevalence of frequent physical fighting in males and females in each country and plotted these values in figure 2. This chart—like the regression models—shows less frequent physical fighting in those countries that prohibited the use of corporal punishment in the home. Specifically, countries that enacted a total ban on corporal punishment in schools and in the home, compared with countries with no such bans, had 31% less fighting in males and 42% less fighting in females.

Figure 2

Predicted prevalence of frequent physical fighting at age 13 in countries with no prohibition (n=20), partial prohibition (in schools but not in the home; n=38) and full prohibition (banned in all settings; n=30). Shown are means and 95% CI adjusted for survey differences and school clustering.

Discussion

This study examined the association between bans on corporal punishment and the prevalence of youth violence in a large and diverse sample of countries. It was not an experimental evaluation of policy impact and therefore we are cautious not to infer a causal association with adolescent fighting. Rather, these results reveal a cross-sectional association between national bans of corporal punishment in all settings and less frequent physical fighting in male and female adolescents. This associations did not diminish after differences in country wealth and other factors were statistically controlled, including violent crime (homicides) and social programmes that support parent education and aim to reduce adolescents’ exposure to violence at home and at school.

The results also indicate that countries that ban corporal punishment in schools but not in the home (including Canada, the USA and the UK) also have a lower prevalence of fighting than countries with no bans, but only in females. Partial bans on corporal punishment did not relate to the prevalence of fighting in adolescent males. The reason for this gender difference is unclear. It could be that males, compared with females, experience more physical violence outside school settings or are affected differently by corporal punishment by teachers. Further investigation is needed to understand the nature of this gender difference. Overall, the results suggest a graded association between the breadth of corporal punishment bans and the prevalence of frequent physical fighting in children aged 13 years, with more comprehensive bans related to less fighting (figure 2).

Limitations of the study should be noted. First, there was heterogeneity in time when the bans were enacted and enforced and when the youth surveys were carried out. In many countries, laws that restrict or ban the use of corporal punishment were tabled, amended and/or passed around the time that fighting was last measured. To investigate temporality in this association would require baseline data on fighting before prohibition and follow-up data afterwards. A second limitation was the lack of information on the use of corporal punishment by parents, educators and other adults and on adolescents’ exposures to such treatment. Further research on the experience of corporal punishment is worthy of further investigation as it may help explain the gender difference found in the association with partial bans. We hypothesised that these constructs might explain an association between corporal punishment bans and youth fighting but, unfortunately, could not test these pathways directly. It remains for further investigation whether national bans on corporal punishment lead to positive changes in child discipline practices or are a simply characteristic of less violent societies. Third, because of the ecological design of the study, the ecological fallacy is a possibility and direction of causality cannot be inferred.

The strengths of the study include the large and diverse sample of countries and independent ratings of fighting by adolescents. To our knowledge, it is one of the largest cross-national analyses of youth violence that has been carried out. Prevalence estimates of frequent fighting used multilevel regressions to account for the clustering effect of fighting within schools and multiple regression was used to control important country-level confounders in tests of the association between bans on corporal punishment and youth violence.

Beyond the association between corporal punishment, few other country characteristics emerged as predictors of youth fighting. We expected to find less fighting in more affluent countries,33 but instead found the lowest prevalence of fighting in males in Cambodia, Myanmar and Malawi and a mix of low-income and high-income countries at both ends of the spectrum (figure 1). The lowest prevalence of fighting in females was found in Costa Rica, Tajikistan and China, where <1% of females engage in frequent fighting. Clearly, economic wealth alone does not differentiate societies where youths rarely engage in physical fighting. As well, no significant associations were found with home visitation programmes for child maltreatment or parent education programmes. This result might have been due to the small number of countries that had neither corporal punishment bans nor a home visitation programme (n=2), and neither corporal punishment bans nor a parent education programme (n=4), making it difficult to test the association with any precision. Homicides and weapons bans in schools also did not relate to the prevalence of fighting. We used these variables to control for the possibility that youth live in societies with varying propensities for violence, but they did not predict international differences in youth fighting. However, a large gender difference in fighting was apparent. Frequent fighting is more ubiquitous and perhaps culturally normative in male versus female adolescents, while aggression in females is often expressed in non-physical forms.

These findings add to a growing body of evidence on links between corporal punishment and adolescent health and safety. A public health response to the evidence involves regulatory reform and educational campaigns.18 36 A growing number of countries have banned corporal punishment as an acceptable means of child discipline and this is an important step that should be encouraged, especially in countries that have seen an effective lobby against such prohibitive approaches.37 Where there is insufficient public support for a full ban, Zolotor and Puzia recommended partial bans as an interim solution while also supporting positive and non-violent approaches to child discipline.20 26 38 39 However, partial bans can also send conflicting messages to parents and put health providers in a non-sensical position of having to educate parents about ways to hit their children safely. Furthermore, this study found no difference in fighting in males between countries with a partial ban and no ban.

Health providers are well positioned to offer practical and effective tools that support such approaches to child discipline. Cultural shifts from punitive to positive discipline happen slowly.19 40 In the past, there were scant data about the detrimental consequences of adults physically punishing children. This has changed as more evidence supports regulatory and educational public health approaches to protecting children and reducing violence. Moreover, public health messaging must be clear that repealing laws that permit corporal punishment is not synonymous with an absence of child discipline. All children have the right to that does not endanger their well-being and respects their right to exist.