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(1)

THE RELATIONSHIP BETWEEN CUMULATIVE ADVERSITIES

, EXPOSU

RE TO

VIOLENCE, GENDER AND MENTAL HEALTH: A STUDY OF THE WORKPLACE IN

.

GAUTENG

PROVINCE, SOUTH AFRICA

MIKAT~KO MABUNDA

2011

(2)

Pag=-THE RELATIONSHIP BETWEEN CUMULATIVE ADVERSITIES, EXPOSURE TO VIOLENCE, GEl\DER AND MENTAL tJEALTH: A STUDY OF THE WORKPLACE IN

GAUTENG PROVINCE, SOUTH AFRICA

111111111111 1111111111 IIIII 11111111111111111111 11111111 060038876

North-West University Mafikeng Campus Library

Mikateko Mabunda 23367008

Dissertation (article format) submitted in partial fulfilment of the requirements for the degree in Masters of Social Science in Research Psychology at the North-West University (Mafikeng Campus)

Supervisor: Professor E.S. Idemudia

(3)

TABLE

O

F C

O

NTENTS

DEDICATIO

N

ACKNOWLEDGEMENT

SUMMARY

PREFAC

E

LETTER OF

C

ONSENT

INSTRUCTION

TO AUTHORS

MANUSCRIPT

TITLE

PAG

E

ABSTRACT

INT

ROD

UCTI

O

N

AND STATEMENT OF

PROBL

EM

TH

EORETICA

L BACKGROUN

D

HYPOTH

ESES

METHODOLOGY

Design

Sample and Characteristics

Instruments and Psychometric properties

CAS

GHQ-28

CEDV

Procedure

RESULTS

DISCUSSIO

N

CONCL

USIONS

RECOMMENDATIO

NS

ACKNOWLEDGEMENT

DECLARATIONS

REFERENCES

3 l r , p;

4

5 7 9 10 11

15

16 17 19

25

27 28 28 28

29

29

30

32

33

3

4

38

41

42

43

44

45

(4)

DEDICATION

Th

i

s study

is dedicated

in

lo

v

ing memory

to my

lat

e

parents

Nkanyezi Alson and

Ntombizodwa

Lydia Mabunda

And

(5)

ACKNOWLEDGEMENTS

Jehovah you are my shield and comforter. You are the source of my strength and wisdom. You are the best gift my mother ever gave me.

J

sometimes fail to do your will but you always bless me. Obrigado

51

• To Prof. E.S. Idemudia thank you for demanding nothing less than perfection. Thank you for listening and caring. May our Almighty grant you more life of great quality. May He expand your territory from the North to the South and from the East to the West. I will always remember to "focus''. Obilu sir.

• To my family, Douglas, Renee, Tsakani, Nyeleti, Mandla and Nyiko. You guys and your families are the best part of me. I thank God for you every day that I breathe. I really could not have done this without your support.

• North-West University, thank you for awarding me a bursary to further my studies • To Nyambeni Matamela thank you for always taking my anxiety filled calls

• To Margareth Mosela Mafongozi, where do I start to say thank you? Should it be for keeping me healthy while I studied throughout the long nights? Or for assisting me with collecting data? Or for always encouraging me to stand whenever 1 was exhausted. I am yet to meet a person as strong and courageous as you my friend. Thank you for sharing your goodness with me.

• To Dr.

L.M. Moga

ladi and Dr.

M.L.A Modisane.

Thank you for always understanding and for giving me the time to travel to Mafikeng for my studies. You always

supported my work and studies and for that I pray that God blesses you.

• To Themba Mdaka. I am so proud to be associated with a person of your calibre. You have a mandate from God to take care of His folk and you are doing exactly that. May He bless your family and increase every aspect of your life.

(6)

To

my

cousin Han

y

ani Makumbani. Thanks

for

the SPSS programme. You know

where it

landed

me on that fateful Sunday afternoon.

To friends and family who helped collect data

, I thank

you from the bottom of my

heart.

Special mention of the following people who assisted me

in

this journey: Mohau

Modise

,

Veronica Mohai

,

Mr.

Oupa

Molepo and Mr. Abe Mashabela.

To the Far East Rand

Hospital

employees

, thank

you for understanding and for

a

s

sisting me with information. I also want to

thank

you for understanding when

1

wa

s

at school and away from work.

To all the institutions who assisted me with collecting data and pro

v

iding me with

information I

thank

you.

(7)

SUMMARY

Cumulative adversity is a complex subject to study as it involves many facets with vast differences in approach. Ln an attempt t•o understand the relationship between cumulative adversities, exposure to violence and mental health in workplace settings in Gauteng Province, the study was anchored on three hypotheses and thereby investigated (I) whether there will be a relationship between cumulative adversities and mental health, (2) whether there will b.e a relationship between exposure to violence during childhood and poor mental health and (3) whether there will be a significant differenc.e between gender, cumulative adversities, exposure to violence and mental health. The study utilised a questinnnaire with three sections-A, B and C. Section A contained demographic items, Section B contained the cumulative adversity scales and ·the Child Exposure to Domestic Violence scale measuring direct and indirect exposur.e to violence in childhood and Section C contained the General Health Questionnaire 28 scale measuring mental health with four subscales-somatic complaints, anxiety and insomnia, social dysfiunction, and depression. Psychometric properties of the scales used are valid and reliable. Five hundred workers participated in the study using a cross-section design and were randomly selected from three hospitals in Gauteng Province, South Africa. Participants were 18 years or older with age ranging between I 8-65 years. Males wene 251 (50.2%) and females were 249 (49.8%). Mean age of employees was 33.8 years (SO

=

11.0). The first two hypotheses were tested with a hierarchical multiple regression and the third hypothesis with a t-test. Results from the study showed that cumulative adversities (family, childhood, personal) and exposure to violence (direct and indirect witnessing of violence in childhood) jointly and significantly predicted poor mental health of workers in the model,

R

2

=

0.35, F (5, 440)

=

47.49, p<OOOI. The variables, family

(8)

cumulative adversity, personal cumulative adversity, childhood adversity, indirect exposure to violence and direct exposure to violence explained 59% of the total variance on poor mental health. Of the variables, the main significant predictors of mental health were: personal cumulative adversity (b = .35, t ( 445) = 7.56,

p

< .0 I), indirect exposure to domestic violence (b = -.123, t (445) = -2.18, p < .05) and direct exposure to violence

(b=

.3 7, t ( 445= 6.25, p < .01 ). In addition, the Durbin-Watson result ( 1.58) is less than 2 and therefore shows that the assumption of independent error is met for this model. Results for hypothesis three showed significant main effects for gender on two of the cumulative adversity measurements with males scoring higher in family cumulative adversity, t

=

(498) =3.64, p<.OOOl and Personal cumulative adversity, t = (498) = 2.37, p<.Ol. Males had higher mean scores than females on family adversity (X-bar 4.87 versus X-bar 3.73) and Personal adversity (X-bar 3.11 versus X-bar 2.52). In addition, there was also a significant main effect for direct exposure to violence, t = (498) = 3.00, p<.003 with males scoring higher than females (X-bar 16.9 versus X-bar 14.5). There were no significant results for gender, childhood cumulative adversity, indirect exposure to violence and the four subscales of mental health-somatic complaints, anxiety, social dysfunctions and depression. It was noted in conclusion that the study contributed to the body of knowledge by showing that cumulative adversities and child exposure to domestic violence can predict mental health and that men and women react differently on cumulative adversities and exposure to violence in childhood. Workplace programmes which promote positive health can improve the mentaJ wellness of employees; therefore, several preventive recommendations were made in line with the findings of the study.

(9)

PREFACE

Article format

For the purpose of this thesis, which is the requirements for the degree of Masters in Research Psychology the article format as described by General Regulation A. 7.5.1.b of the

North West University was chosen.

Selected journal

The target journal for submission of the current manuscript is Journal of Social Sciences (JSS). For the purpose of examination tables will be included in the text.

Letter of consent

The letter of consent for the co-authors, in which they grant pennission that the manuscript

·'The relationship between cumulative adversities. exposure to violence and mental health: A study of the workplace in Gauteng Province, South Africa" may be. submitted for purposes of

thesis, is attached.

Page numbering

In this thesis page numbering will be from the first page to the last. For submission to the

above mentioned journal, the manuscript will be numbered according to the requirements of JSS. Hence, all pages will be numbered consecutively.

The r

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r

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of

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(10)

LETTER

OF

C

O

NSENT

I, the undersigned, hereby give consent that Mikateko Mabunda may submit the manuscript entitled "THE RELA TiqNSHIP BETWEEN CUMULATIVE ADVERSITIES, EXPOSURE TO VIOLENCE, GENDER AND MENTAL HEALTH: A STUDY OF THE WORKPLACE

IN

GAUTENG PROVINCE, SOUTH AFRICA .. for the purpose of a thesis in fulfilment for the Masters of Research degree in Psychology

(11)

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Bo

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si

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Bha

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Yeena 199

5.

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Development.

D

el

h

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K

amla-

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t

e

rpri

ses.

Sec

ti

o

n

s of

B

oo

k

s:

Co

hen

CP 1998. U

nit

ed

N

ation

s

conve

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on

on

right

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th

e child:

relevance for

indigen

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u

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ldr

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In

:

OK Bher

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Contemporary Societies.

Delhi: K

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3-187.

Ne

w

s

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ape

r

I

Ma

gaz

in

e:

·

Bha

si

n

Veena

1982

.

Ecology

and

Gaddi Culture.

Hindustan Times, Weekly,

A

u

gust 29,

19

82

,

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R

a

dio

/Te

l

ev

i

s

i

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n Talk

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in

Veena

1986.

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adio Talk-

Gaddis

ofHimachaJ

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All

India Radio 'Yuv Vani'-

1st

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y

,

1986.

Mee

tin

g

P

a

p

e

r:

Bhasin

V

,

Bh

asi

n

M

K

,

Singh

IP 1

978. Some

problem

s

in th

e e

du

catio

n

of

Gaddis

of

Bh

a

rm

o

ur

,

Chamba

Di

s

trict,

Himach

al

Pradesh.

Paper presented in Seminar on

Education and Social Change in Himachal Pradesh (H.P.)

in H

.

P.

U

ni

versity, S

himla

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Nove

mb

e

r

13 to

16

,

197

8

.

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e

p

o

rt

:

UNESC

O 19

74.

R

eport of

an

Expert

Panel

on MAB

Proje

ct

6: Impact

of

Hum

an

Activ

i

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Mountain and

T

un

d

ra Ecosystems.

MAB Report Series No. 14,

P

aris:

UNESC

O.

T

h

es

i

s

I

Di

sse

r

ta

tion

:

Bh

asin Yeena

1981

.

Ecological

Influence

on

the

Socio c

ultur

al

:

System

of

the

G

ad

dis

of

Bhann

o

ur

Sub-Tehsil

,

C

h

amba

District

,

Hima

c

h

al

Prade

s

h

.

Ph. D.

The

s

i

s,

Unpublished.

De

l

hi:

University of

D

elhi.

·

Work

"

in

p

r

ess": Bh

as

i

n Yeena

2004.

Eco

.

nomi

c

pur

s

ui

ts and

s

trategies of

s

urvival

a

m

ong

Dam

or

of

R

ajast

h

an.

J Hum Ecol.

(

in press).

W

e

b

s

it

e:

Offic

i

a

l

Home

Page

of

Work

and

I

ncome

New

Zealand.

http:

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www.wo

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in

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R

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March 18.

2004)

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CORRESPONDENCE

TO:

Kamla-Raj

Enterprises

,

Po

s

t

B

ox No.

1120

,

D

elhi G.

P

.0.

,

D

elhi

110 006

,

India

(15)

MANUSCRIPT

THE RELATIONSHIP BETWEEN CUMULATIVE ADVERSITIES, EXPOSURE TO VIOLENCE, GENDER AND MENTAL HEALTH: A STUDY OF THE WORKPLACE IN

GAUTENG PROVINCE, SOUTH AFRICA

(16)

THE

RELATIONSHIP BETWEEN

CUMULATIVE ADVERSITIES, EXPOSURE

TO

V

IO

LENCE

,

GENDER AND

ME

N

TAL I:IEALTH:

A STUDY

OF

THE WORKPLACE IN

GAUTENG PROVNCE, SOUTH AFR

ICA

Mikateko Mabunda*,

Erhabor

S. Idemudia

Facult

y

of Human and Social Sciences, North West University (Mafikeng Campus),

South

Africa

Correspondence to:

Mikateko Mabunda

Prof

.

E.S.

Id

emudia

Departmen

t of

Psychology

(lpelegeng

Child and Family Center)

North West

U

ni

versity

(Mafikeng Campus)

Private Ba

g

X

2046

Mmbatho

2735

South Africa

Mikateko.mabunda

@

yahoo.com

erhabor.idemudia

@

nwu.ac.

za

Tel:+ 27-18-389-2425

Fax:

+

27-18-389-2424

16 1 r

are

(17)

ABSTRACT

This study investigated

(l)

whether there wiq be a relationship

between

cumulative adversities

and the quality of mental

health

,

(2) whether there will be a

relationship

between exposure to

violence

during

childhood and poor

mental

health and (3) whether there will be a significant

difference between gender

,

cumulative adversities

,

and exposure to violence and mental

health.

Data

were collected from five hundred participants that were randomly selected

from

three different

hospitals

in

Gauteng Province.

Age of participants

ranged

between 18-65

years. Males were 251 (50

.

2%) and females were 249 (49.8%)

.

Mean

age of employees was

33.8 years (SO= 11.03). Results showed

that

cumulative adversities (Family, childhood

,

personal) and exposure to violence (direct and indirect witnessing of violence

in

childhood)

jointly and significantly predicted poor mental health of workers. The variables

,

family

cumulative adversity

,

personal

c~mulative adversity,

indirect

exposure and

direct exposure

explained 59% of

the

total variance on poor mental health. The

Durbin-

Watson result ( 1.58)

i

s

less than 2 and therefore shows that the assumption of

i

ndependent error is met for this

model.

Results

for hypothesis three showed significant

main

effects for gender on two of the

cumulative adversity measurements; family adversity and personal adversity. In addition,

there was also a significant

main

effect for direct exposure

to

violence. There were no

significant results for childhood cumulative adversity

,

indirect exposure and

the

four

subsca

l

es o

f

mental

health-somatic

complaints, anxiety

,

social

dysfunctions

and depression.

Workplace programmes which promote positive health can improve the mental wellness of

e

mployees; hence several preventive

recommendations

were made in line with the findings of

the study.

Keywords: Cumulative adver

s

ities

/

Gender

/

Exposure to

v

iolence/Mental-health/W orkplace

/

Gauteng

Provinc

e/

South Africa.

(18)

Introduction

&

St

a

te

m

e

nt of pr

o

bl

e

m

:

Being psychologically healthy is as important as indeed the working environment and the job itself (Farrell, 2011). The impact of mental health problems in the workplace has serious consequences not only for the individual but also for the productivity of the enterprise (Baumann & Muijen, 2010; World Health Organization, 2010). Mentall health can be defined as a state of well-being in whjcb an individual realizes his or her own abilities, can cope with the normal stresses of life, can work productively and is able to make a contribution to his or her community (http://www.who.int/mediacentre/factsheets/fs220/len/). According to Baumann and M uijen (20 I 0), employee performances, rates of illness, absenteeism, accidents and staff turnover are highly affected by employees· mental health status.

The workplace environment demands an overall wellness of an individual to enable them to function to their fullest capacity. Psychological problems may hinder p~roductivity as it would affect optimal functioning. According to Statistics South Africa (200 I )1, a high percentage of all disability is due to ··emotional .. and intellectual disability. B~radshaw (2003) have described neuro-psychiatric disorders as the second highest proportion of burd~n of disease after HIVAfDS in Vv'estem Cape alone. Unfortunately, understanding mental health in work settings is hardly in estigated.

Based on this statement it is then safe to assume that employees who atre in optimal physical and psychological health are more likely to come to work and perform well. However, stressors causing poor mental health can be accumulated from childhood and into adulthood. These cumulative adversities (CAs) may have ramifications for mental health in a workplace. Studying the temporal dimension of exposure to violence and cumulative adversity can bring social research closer to understanding the extent of their consequences on mental health. 18 1

r

age

(19)

This will be of benefit for both the organizations and

their

most

valued

asset, which

is

their

human resource, the employees.

Cumulative adversity (CA)

is

defined as expos

u

re to

potentially

traumatic events along

life

(Shmotkin

&

Litwin,

2009).

These events

have

been

linked

with

adulthood mental health

problems in

several

studies

such as Lamont (2010)

,

who

stated that childhood

adversity

,

such

as exposure

to child abuse and neglect, can lead to

a

wide range of adverse consequences that

can

last

a lifetime.

Sometimes,

the

effects

remain largely hidden on

l

y to emerge

at key times

in

later life

(McQueen,

I

tzin

,

Kennedy, Sinason

,

&

Maxted

,

2009)

,

such

as with the demands

of the

working

environment.

It

is important to

note

that cumulative adversity may occur directly to

the

individual and also

through indirect witnessing the adversities of a

loved

one. Both of

these

experiences

are said

to have

both

immediate and long-term consequences

for

health and

general wellbeing

(

Olesen

,

Macdonald

,

Raphael

&

Bunerworth

,

201

0). A

parent's physical illness

,

for instance

,

may be

a cause

of mental anguish to a child. According to Hayes

,

Gray, and Edwards

(2008)

and Saunders

,

Naidoo, and Griffiths

,

(2007) this offers an

explanation for

the

common

co-occurrence of

many of these

adversities

and children's mental health. Adverse life

events

or

stres

s

ors

that

occur

to

a child'

s

parent

or

within their

familial

context

have been

connected

to

health,

behavioural

and

social

difficulties during childhood,

and

poorer outcomes later in life

(Olesen

,

et al, 2010).

The adverse consequences

caused by parental adversities may

stem

from the fact that

distressed parents may not have

the strength

to

spend

quality time with their

children.

This

may lead to difficulties

in

engaging with

the child

and

nurturing the

child

'

s psychological

(20)

development, which

in tum

may render the child vulnerable to more adversity and later life mental challenges. These children are also more likely to experience depression and substance abuse as adults (Pirkola, lsometsa, Aro, Kestila, Hamalainen, Veijola, Kivuruusu, & Lonnqvist, 2005). Parental and familial stressors are consistently linked to poorer developmental, academic and health outcomes during childhood and later adulthood (Olesen,

eta/, 20 I 0).

A study conducted by McLaughlin, Green, Gruber, Sampson, Zaslavsky, and Kessler, (20 1 0),

found that exposure to CAs involving maladaptive family functioning, e.g. parental mental illness, substance use disorder, criminality, family violence, physical and sexual abuse, and

neglect were significantly associated with persistence of mood and anxiety disorders and that these associations remained statistically significant. throughout the life course. According to Afifi, .Enns, Cox, Asmundson, Stein, and Sareen (2008) and McLaughlin, eta/., (201 0) this associations render individuals with a history of CAs especially vulnerable to mental

disorders triggered by adult stressors.

Other studies, such as Shmotkin and Litwin's (2009), have reported that cumulative adverse

events also have

an

influence on physical health. Scott, Von Korff, Angermeyer, Benjet, Bruffaerts, de Girolamo, Haro, Lepine, Ormel, Posada-Villa, Tachimori and Kessler, (2011)

examined cross-sectional community data in adults from I 0 countries. History of childhood adverse experiences was shown to increase risk for all six of the medical disorder groups and

adults with experience of three or more adverse childhood experiences were found to have the greatest risk of an adult medical disorder. Cumulative adversity creates a vulnerability to

poor mental health which affects physical health.

In

Scott· s

et

a/.,

(2011) study an

(21)

onset, before age 21, of an anxiety disorder or depression increased adult medical disorder risk for the six categories presented in the study.

Although cumulative adverse consequences are particularly apparent for mental health problems (Rodgers, Blewitt, Jacomb & Rosenman, 201 0), in some instances it might be the severity of adversity that may actually cause poor mental health. Respondents with higher cumulative adversity, in Schilling, Aseltine, and Gore's (2008) research, had disproportionately poorer mental health because of the severity of the adversities they were exposed to, and not the cumulative number of different types of adv~rsities experienced.

According to Seery, Holman, Silver and Cohen (2010), exposure to adverse life events typically predicts subsequent negative effects on mental health a~d well-being, such that more adversity predicts worse outcomes. These negative life events have been implicated in the development of alcohol dependence (Lloyd & Turner, 2008). Findings from the study suggest that high levels of lifetime exposure to adversity are implicated causally in the onset of alcohol dependence.

Cumulative adversity is a complex subject to study as it involves many facets with vast differences. Firstly most studies use self reported cumulative adversity exposure which varies amongst individuals (Schilling, Aseltine & Gore, 2007). Secondly accuracy is not certain as accuracy involves comparability of measures across countries and some of these studies do not comply (e.g. not much research includes third world countries as

in

Africa). Thirdly adverse experiences may also foster subsequent resilience, with resulting advantages for mental health and well-being instead of the opposite (Seery, eta!., 201 0). ln a multiyear longitudinal study of a national sample, people with a history of some lifetime adversity

(22)

reported better mental health and well-being outcomes than those with lack of adversity history. Cumulative adversity may, in fa_ct, play a preparatory role for future adversity. Individuals with that experience may be able to handle life challenges as they would tell themselves '·this too shall pass'·. Gender and racial differences also need to be investigated.

Exposure to violence is very prominent in South Africa (RSA). According to a national report by the South African Police Services (2009) indicated that during years 2008/2009, a total of

2 098 229 (approximately 2,1 million) serious crime cases were registered in RSA, with

violent crimes being dominant. This is a serious public health concern that compromises the

society by affecting people's behaviour and psychological well-being. Violence is a form of

CA that can have negative implications for transitions to adulthood especially since trajectories established during early ad~lthood have profound implications for the quality of later life as indicated by Piquero, Brame, and Moffitt (2005). This exposure can have

significant effects on child development and the fonnation of intimate relationships

throughout childhood and adulthood (Muscari, 20 l 0). Results in a study conducted by Foster

and Brooks-Gunn (20 II) indicate the pervasive detrimental effects of violence exposure on

internalizing (e.g. depressive/anxiety symptoms), externalizing problems (e.g. aggressive behaviours), and social and educational outcomes across childhood and adolescence. Recent research also finds consistent links between community violence exposure and asthma in

children, including wheezing among preschoolers (Stemthal, Jun, Earls, & Wright, 201 0),

showing that not only does it have an impact on mental health but it also has physical health

consequences. Exposure in this study is conceptualized as including both direct (i.e., experiencing physical victimization) and indirect exposure (i.e., witnessing others' victimization).

(23)

The impact of exposure to violence on physical health is evidenced in the biomedical researches (e.g. Lanius & Vermetten, 2009) which, increasingly, recognize that childhood events, specifically abuse and emotional trauma, have profound and enduring effects on the neurologulatory systems mediating medical illness as well as on behaviour from childhood into adult life. For an example, Buse (2011) states that fibromyalgia is one of the medical co-morbidities resulting from adverse childhood experiences. Other medical conditions are migraine, chronic pain disorders and an increased risk for cardiovascular events. Poor physical health will subsequently lead to distress causing further poor mental health.

Mental health remains an invisible problem in Africa (Gordon, 2011 ). Mental health is defined as a state of well-being in which the individual realizes his or her own abilities, can cope with ~he normal stresses of life, can work productively and fruitfully, and is able to

make

a

contribution to his or her community

(http://www.who.int/mediacentre/factsheets/fs220/enl). The implication of the above WHO definition is that being mentally healthy does not only mean the absence of mental illness but also the individual"s ability to develop and maintain a balance of all aspects of life. According to the WHO (201 0) report, mental health includes emotions, cognition, social functioning and coherence. Social functioning involves relations with others and the society which means that an individuars social setting is important to their mental health. Therefore exposure to violence whether at home or in the community from childhood will undoubtedly have a negative effect on the mental health of an individual. These forms of stressors may accumulate into adulthood with consequences for poor mental health and therefore affect productivity in the work place.

(24)

The current

s

tud

y

i

s

focused

o

n

life co

u

rse

events

to contextualize

ex

p

os

ur

e

to

vio

le

nc

e

and

CAs

thr

ough

the

tr

ansition

to

adult

h

ood

to eva

l

uate the

s

tr

e

n

gth of

their Iong-tenn

effects on

mental health

i

n

ad

ul

thood.

The

a

im

was

to empirically

in

vestigate w

h

ether cum

u

lative

adve

r

sit

i

es wi

ll

affect

poor

m

e

nt

al

health.

Th

e study also see

k

s

to

find out whet

h

er

if being

exposed

to

vio

l

ence will also

impact mental

health

and

h

ow

ma

les and

females

react to

cumulative adversities

a

nd

ex

p

osu

r

e

to

vio

l

ence. Understanding

t

hese factors wi

ll

help

put in

place programmes that would

h

elp

pre

ven

t or

mana

ge

workers wellbeing in a work place and

in part

i

cular

recogni

ze ge

nde

r

difference i

n

wor

k

plac

e sett

in

gs.

These

programme

s

will

in

add

ition h

e

lp

boost

healthc

are a

nd th

e

r

efo

re

reduce government

costs o

n m

e

dical

expenses.

Ear

l

y

di

agnosis

and treatment

of

these

a

d

ve

r

s

itie

s

in the

ear

l

y stages of

l

ife

wi

ll

substantially

reduce

econo

m

ic and

personal

costs of

thes

e

illnesses.

Th

e

or

e

ti

ca

l b

ac

k

g

r

o

und

Chronic childhood adversity

h

as

l

ong bee

n theori

ze

d to be

an aetiological facto

r

in

the

development

of

p

syc

hopatho

logy (

B

en jet,

B

o

rg

es,

&

Medina-Mora

,

20

I

0)

.

Accord

in

g to

Richard

s (20

II)

,

individuals

from

violent

homes m

ay

likely exhib

i

t

a

ttitud

es

and

behaviours

that reflect

th

e

ir

c

hildh

oo

d

ex

peri

e

n

ces

of witnessing domestic

v

i

ole

n

ce.

These attit

u

de

s

and

behaviours from

seve

re trauma

in

c

hildh

oo

d

,

including

sexua

l

and

physical

abuse.

may

persist

as a

s

tres

so

r into

adu

lth

ood.

In

a

work place

se

tting

,

these

externalize

d

behavioural

pro

b

lems

ma

y

l

ead

to

ot

her

psychopathologica

l

problems that

may in tum affect

productivity

an

d

workp

l

ace wellness. A

nd

vul

ner

a

b

il

i

ty

to current

a

nd

future

s

tre

sses

may be heightened

by these past

traumas.

Social

learning theory

i

s

one

of

the

mo

st co

mmon

theories

u

sefu

l in

providing an interpretive

framework for

und

e

r

s

tanding

h

ow

exposure

to lif

e

course events

imp

act

people's

li

ves.

Th

e

(25)

theory

suggests

that individual

s

learn

behaviours

in

childhood through observation of

parents

or guardians

,

and

replicate those behaviours in their

own

li

ves (Akers

&

Sellers

,

2009

;

Bandura

,

1973

;

Lewis

&

Fremouw,

2001).

The implication here is that adults

who

have been

ex

p

osed

to

violence

might themselves tum out to be perpetrators breeding

b

roader

grounds

for

further mental health

problems emanating from

behaviours learned in

childhood.

Social Stress theory

best

explains the

direct links

of CAs and

poor mental health

as it

stipu

l

ates that

multiple

adverse exposures

of perceived

stressors

arisi

n

g

from

a constellation

of contextual stressors

,

chronic

s

train.

and acute

s

tr

e

ssor

s

contribute to poor

mental

health

outcome

s

(Rutter

,

2005

;

Thomp

s

on

,

Mazza

,

Herting

,

Randell

,

&

Eggert

,

2005

)

. For example,

in their

s

tudy of early expo

s

ure to

violence,

domestic

violence

,

attachment representations,

and marital adjustme

n

t, Godbouta, Dutton, L

u

ssie

r

and Sabourina (2009) fo

un

d t

h

at

previo

u

s

psycholo&rical parental

victimi

z

ation was

the

strongest predictor of anxious attachment

,

and

witne

s

sing

p

sy

chological

dome

s

tic

v

iolence

during

childh

o

od was

the

strongest pred

i

ctor of

a

v

oidant attachment in adulthood. McLaughlin

,

Green

,

Gruber

,

Sampson

,

Za

s

lavsky

,

and

Kessler (201 0) also showed

that

CAs a

r

e positively

and significantly associated wit

h

impairment

and

that

they greatly

predict disorder-related impairment,

highlighting the

ongoing clinical significance of CA

s

throughout the lif

e

-cou

r

se

.

The Life Course

perspective i

s

another

useful

way of

understanding

the

relationship between

CA

s,

through looking

at

t

he

environment,

and the

subsequent

mental health. Thi

s

view

looks

at

how

chrono

l

ogical age

,

relationships

,

common

life trans

i

tions

,

and social change shape

people

's

live

s (

therefore

mental health

)

from

birth

to

death

(Hutchison

,

2007).

According

to

this

theoretical mode

l

,

to tmderstand

a

person·

s

l

ife.

we

have

to investigate t

h

e

s

equence

of

(26)

significant events, experiences. and transitions m a person~s life from cruldhood. As

stipulated in the literature of the current study, significant occurrence that involves a

relatively abrupt change may lead to the emergence of numerous problems later in the life

which may produce serious and long-lasting effects on mental health. Hareven (2000) says

that an impact on life can occur when a significant occurrence or transition occurs

simultaneously with a crisis or is followed by a crisis, when the transition involves family

conflict over the needs and wants of individuals and the greater good of the family unit, when

the transition is followed by unforeseen negative consequences and lastly when it requires

exceptional social adjustments.

While a vast amount of research has provided support for the association of individual

childhood adversities with the development of psychopathology in later life, much of the

research has focused on specific or a limited number of adversities and/or a specific or limited

number of health outcomes. This is mostly due to the underlying theories of the different

studies which have driven the types of childhood adversities studied (these generally fall into

the categories of family pathology, abuse and neglect, interpersonal loss and socio-economic

disadvantage). Complicating the interpretation of research findings is the fact that childhood

adversities are highly co-morbid (Benjet et al., 2009) as are psychiatric disorders, thus it is

likely that studies of individual adversities and individual disorders may inflate associations

or fail to recognize alternative indirect pathways to psychopathology.

(27)

-Hypotheses

This study anticipates:

I.

That there will

be a relationship between cumulative adversities and quality of mental

health.

2. That

there will

be a

relationship between exposure to

violence during childhood and

poor mental health.

3. That there will

be

a significant difference,

as a function of gender, between

cumulative adversities, exposure to violence and

mental health.

M

e

th

odology:

Design:

This study is based on a cross-sectional

research

design within a

quantitative research

approach.

The

variables are cumulative adversities (CAs); family cumulative adversity

(CAFam),

personal adversity

cumulative adversity (CAPerAdv), and childhood cumulative

adversity (CAChildAdv), exposure

to

violence

(Direct and Indirect) and gender and

mental

health.

A hierarchical multiple regression analyses

will

be used to test for

statistical

significance

for hypotheses one and two.

Using

more than one predictor will

also

make the

prediction of our criterion more accurate. The third hypothesis was tested with

a student-t-test

to check for mean difference

between

males and females on cumulative adversities and

exposure to violence.

Sample and

characteristics

:

A

total

of 500 participants, 251 (56.2%)

males and 249 (49.8%) females,

randomly selected

using

a

table of random

numbers

of ··yes·•

and ·' o'·

from

three hospital complexes in

Gauteng

Province,

South Africa. The methodological advantage

of this

study

is that the

sample consists of

part

i

cipants randoml

y selected from various institutions in

Gauteng whose

(28)

emp

l

oyees are

from racially and

economically

diverse

communities.

The stud

y

uti

li

zed

a

que

s

tionnaire

with 3 sections-A

,

B

and C.

(

Appendix

A). Section

A contained demographic

items

,

Section

B contai

n

ed the

C

A

and CEDV

scale

s

and

Sect

i

on

C

contained the GHQ

-28.

All participants

were

18

years

or older.

The age of

employees

ranged between 1

8-65 yea

r

s.

Mal

es

were

25

1

(

56.2

%)

and

fema

l

es were

249

(

49.8

%)

which

is

a

100

%

of

s

ample

participation.

The

mean

age of employees

was 33.8

years

(S

O

=

1

1.0

).

In

s

trum

e

nt

s

and

Psychom

e

tric

prop

e

rties:

Data

was collected

using a qu

estio

nnaire. The fir

s

t

sec

tion

comprised of

demograph

i

c

attributes

and

other soc

i

a

l

variables.

T

he

seco

nd

sec

ti

o

n

comprised the Cumulative Adversity

Scale

and the

Child

Expos

u

re t

o

Dom

es

tic Violence

(CE

D

V)

sca

l

e

and section

C co

ntained

the General Hea

lt

h

Qu

est

i

o

n

na

i

r

e

(GHQ- 28) sca

l

e.

C

umulati

ve A

d

ve

r

s

i

ty

Scal

e: (CAS)

C

umulati

ve adve

r

si

tie

s (CAs)

were assessed using

s

in

g

le

questions to

partic

i

pant

s

on

a

d

verse

experiences with

parents

,

during

c

hildh

oo

d

and

current

adulthood.

The childhood

adversities

were

adapted from the Chi

l

dhood

Environmental

Factor

s

Questionnaire by

P

irkola

et af.,

(2005).

Fifty

one (5

1

)

items were

initi

ally

derived

from

th

e

lit

e

rature and from

a pi

l

ot

study

of a sample of

20 employees

in

Gauteng.

Th

e

que

st

i

ons were i

n

s

h

ort

phrases.

Th

e sca

l

e was

pretested

o

n

a

s

amp

l

e of

20 employees

in

a workp

l

ace in

Gauteng whose ages

ran

ged

from

20-49

y

ea

r

s

.

Re

spo

n

ses

t

o

the items were

coded o

n

a

3

-point Binary an

swe

r

s

with ··Yes··

...

No

.. and

'

I

don

'

t

kn

ow'. '

Ye

s

.. was scored

2,

·J

don"t

know'

was

sco

r

e

d 1 point and

a

·

'No

..

was sco

red

0.

I

tems were selected

in

s

uch a

way

that

,

a

d

versities we

r

e

measured in three

s

ub

sca

les:

(29)

Family adversitie

s

(CAFamadv), childhood adversities

(CAChlAdv)

and personal adult

adversities (CAPerA

d

v).

All responses

wer~

scored on

th

e basis of

the subsca

l

es.

P

sychometric

propertie

s

of

this

scale were

determined.

Item

analysis

using the item

remainder correlation

t

echnique (w

ith

Kuder-Richardson formula

,

K.R.20) revealed

27

internally consistent items with coefficient alpha of 0.91. Split-half reliability of the

scale

was r

=

0.80; content

valid

i

ty was used

to detennine

val

idit

y

of

th

e sca

l

e since the 27 items

selected were based on responses of

piloted

respondents and also factor analysed

,

using the

principal component method with Varimax rotation. All

27

items

with

a minimum factor

loading of 0.40 were included in

the scale.

Face val

idit

y was a

l

so built into the scale as the

items

were

made of

s

imple

,

short phrases and

very

easy to

understand.

Some of the items

we

r

e listed by the respondents themselves on areas of adversities.

To establish

convergent

va

lidity

for

the CA

,

the CA

scale

sco

res

were compared

for

20

workers

in

Gauteng

Province with the Life Experiences

Survey,

de

s

igned by Sarason

,

Johnson and

Siegel

(1978). The Life Experiences Survey (LES) is

a 57-item self-report

measure

and allows respondents to

indicate

events they

ha

ve

experienced during the past

year

.

The scale has two

parts

,

one and two. Only sectio

n

one was used because it is

de

signed

for

all respondent

s

and

contains a list of

47 specific events. The events

listed in this section

refer to life changes common to individuals in a

wide variety of s

itu

ations. Many of the items

were based on existing life stress measures.

Validity Coefficient was

r

=

0.39 and

0.41,p, <

0.01

,

for CA scale and

LES respectively. The

correlation between the two sca

l

es

was moderately

l

ow but suggests a convergent

validity for

both scales.

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