Relationship of Health Locus of Control with Breast Cancer Screening Belief of Iranian Women

Promoting breast cancer screening (BCS) behavior of women can lead to a reduction in mortality. The health locus of control affects cancer screening behavior of women; however, there is not sufficient evidence regaring this issue in Iran. The overall goal of our study is to determine the relationship of the health locus of control with the breast cancer screening belief of Iranian Women. This is a cross-sectional study carried out on 325 women in Tehran. The Multidimensional Health Locus of Control (MHLC), Breast Cancer Screening Belief Questionnaire (BCSBQ), and Demographic questionnaire were used for collecting data. Statistical analyze was performed by the SPSS version 17 software. The Pearson correlation and regression model were used for data analyze. In this study, 325 women, age 18 to 75 years, participated in this study. The mean±SD of BCSBQ and MHLC score was 40.72±10.41 and 67.78±17.67 respectively. The regression analysis showed that for the one-unit increase in the Internal Health Locus of Control (IHLC), Powerful others Health Locus of Control (PHLC), and Chance Health Locus of Control (CHLC) score (dimensions of Health Locus of Control), the total BCSBQ scores increased 0.54, 0.31, and 0.57 respectively. For each unit increase in age and education, the knowledge and perceptions of the BC score increased 0.05 and 0.23 units respectively. For the one-unit increase in the IHLC, PHLC, age, and education dimensions, the attitudes towards the general health checkup score increased 0.17, 0.1, 0.05, and 0.188 respectively. The current study provided new insights about the BCSB of Iranian women with MHLC. In the study, all the dimensions of the health locus of control were useful in predicting the breast cancer screening belief of the participants. Creative Commons Attribution License

Introduction

Breast cancer (BC) is the most common cancer among all women worldwide (Mahdavifar et al., 2016). The incidence of breast cancer in Iranian women is 22.6 per 100,000 (Jazayeri et al., 2015), causing a heavy health and economic burden (Daroudi et al., 2015). The stage of diagnosis is a main predictor of breast cancer survival, and the earlier the diagnosis, the better the patient’s chance of survival becomes (Bamidele et al., 2017). However, most breast cancer cases are diagnosed in the advanced stages in Iran (Mohaghegh et al., 2014). One reason is the lack of participation in breast cancer screening (BCS) programs, which lead to a delayed diagnosis (Kwok et al., 2016b).

Hence, promoting the BCS behavior of women can lead to a reduction in mortality (Murray and McMillan, 1993), and social-level factors including social support and hope can help promote this behavior (Mishra et al., 2012). Another factor that affects the screening behavior of women is breast cancer perceived risk (Zhang et al., 2011). Women’s participation in breast cancer screening programs can help predict the health belief and illness attitude of women (Lostao et al., 2001). Also, a woman’s sense of fear and health belief about BC could influence her readiness to participate in BCS programs (Ersin et al., 2015) and in one study it has been reported that the health locus of control affects the health behavior of women (Williams-Piehota et al., 2004). The health locus of control is the extent of perception that each person has about the source of regulating of one’s health (Wallston et al., 1978), and the multidimensional health locus of control indicates the perception people have about their internal health locus of control, powerful others, and chance health locus of control (Wallston and Wallston, 1981).

Evidence has shown that cancer screening behavior could be predicted by an individual’s health locus of control (Hallal, 1982). Some evidence has shown that belief about health control is a determinant factor for screening behavior (Bundek et al., 1993). It seems that one’s belief in internal health control leads to better health behavior (Helmer et al., 2012); however, chance or powerful others health locus of control could lead to poor health outcomes (Grotz et al., 2011, Kuwahara et al., 2004). One study has reported that strong IHLC leads to healthier behaviors in individuals (Luszczynska and Schwarzer, 2005, Wallston, 2005). Another study has reported that external powerful others health locus of control leads to an individual’s improved knowledge about health (Zaky, 2016). Several studied have shown that the health locus of control can predict cancer screening behavior (Adebimpe and Oladimeji, 2014), but in another study the opposite was proven (Tahmasebi and Noroozi, 2016) (Sahraee et al., 2013).

In Iran, most women do not receive sufficient or regular breast cancer screening (Enjezab, 2016, Farzaneh et al., 2017, Aminisani et al., 2016). Powerful cultural beliefs (Khazaee-pool et al., 2014), the health beliefs of health worker (Shiryazdi et al., 2014), perceived self-efficacy (Fouladi et al., 2013), and other different factors affect the BCS behavior of Iranian women. In fact, the health locus of control can effect health beliefs, but there is no evidence about the relationship of BCSB and MHLC in Iran. To find out the current status of this issue in Iran and for optimizing breast cancer screening programs as well as helping to maintain and improve the health of women at risk for this disease, the overall goal of our study is to determine the relationship of the health locus of control with the breast cancer screening belief of Iranian women.

Materials and Methods

This is a cross-sectional study that was carried out on selected health centers of Shahid Beheshti Medical University in June to October 2017. This study was carried out after approval from the ethic committee of Shahid Beheshti Medical University (ethics code: IR.SBMU.RETECH.REC.1396.172). An informed consent form was obtained from all participants. The sample size for this study was calculated at 325 (α=0.05). The inclusion criterion for this study was all Iranian females above 18 years of age.

The study tools were:

1) Multidimensional Health Locus of Control (MHLC) scales with 18 items. This scale assesses health related beliefs of people (Moshki et al., 2007), and includes six items about internal HLC (belief that one’s state of health depends on one’s own behaviors and actions), six items about powerful others HLC (belief that one’s state of health depends on powerful others mainly professionals), and six items about chance HLC (belief that one’s state of health is a matter of chance). Each subscale has six-point Likert choices. The total score ranges from 6 to 36, and in this scale a high score is related to the high importance of the participant’s health locus of control. The Persian version of this model is valid and reliable in Iran (Moshki et al., 2007). In this study, the Cronbach’s alpha is 0.799.

2) Breast cancer screening belief questionnaire (BCSBQ) with 12 items, in which four items are about attitudes towards general health, four items are about knowledge and perceptions of BC, and four items are about barriers to screening. All items have Likert choices ranging from strong disagreement=1 point to strong agreement=5 points, and the total score range is (5-60). In this scale, the high score shows a strong attitude, high level of knowledge and perceived barriers for BCS. In this study the Cronbach’s alpha is 0.818.

3) Demographic questionnaire that includes collecting information on age, married status, educational level, employment status, economic status, and number of children.

Statistical analyze was performed by the SPSS version 17 software (SPSS Inc., Chicago, IL). The descriptive analysis was used for the description of the participants’ characteristics. The Pearson correlation and linear regression model were used for evaluating the relation between independent variables and our dependent quantitative variable. P-value <0.05 was consider significant.

Results

In this study, 325 women (age range: 18-75 years) participated, and most (36.1%) had a high school diploma, good economic status (77.8%), married (80%), and were homemakers (86.4%). Table 1 shows the demographic characteristics of the study participants. The mean±SD of the BCSB and MHLC score was 40.72±10.41 and 67.78±17.67 respectively. The mean±SD of the IHLC, PHLC, and CHLC were 22.92±6.94, 21.51±6.34, and 23.33±7.33 respectively. The lowest mean score was allocated to the attitude item about BCS (12.07±4.49), and the highest mean score was allocated to the knowledge item about BCS (15.23±3.92).

Table 1

The Demographic Characteristics of Women Participated in Study

Variable
Age (yr.)*	34.82±11.73
Number of children*	1.97±1.30
Marriage duration (yr.)*	14.40±11.28
Education level**
Illiterate	36 (11.1)
Under diploma	100 (30.9)
Diploma	117 (36.1)
Academic	71 (21.9l)
Marriage status **
Married	260 (80)
Single	48 (14.8)
Widowed	9 (2.8)
Divorced	8 (2.5)
Employment status **
Housewife	280 (86.4)
Employed	44 (13.6)
Economic status**
Good	17 (5.2)
Intermediate	252 (77.8)
Poor	55 (17)

, Data presented as Mean ± SD;

, Data presented as N (%).

According the correlation analyze, there were positive significant correlations between the attitudes towards general health check-up dimension of the BCSBQ with the internal HLC (R=0.41, P=0.001), powerful HLC (R=0.28, P=0.001), and chance HLC (R=0.37, P=0.001). Also, there were positive significant correlations between the barriers to the screening dimension of the BCSBQ with the internal HLC (R=0.32, P=0.001), powerful HLC (R=0.148, P=0.007), and chance HLC (R=0.43, P=0.001). No significant association was reported between the knowledge and perceptions of BC items and the three dimensions of the MHLC (Table 2).

Table 2

The Correlation between Breast Cancer Screening Belief Subscales and Multidimensional Health Locus of Control (MHLC) Scales

Variable	Internal Health locus of control	Powerful others Health locus of control	Chance Health locus of control
Attitudes towards general health check-ups	R=0.41	R=0.28	R=0.37
	P=0.001	P=0.001	P=0.001
Knowledge and perceptions of BC	R=0.84	R=- 0.008	R=0.086
	P=0.13	P=0.88	P=0.12
Barriers to screening	R=0.32	R=0.148	R=0.43
	P=0.001	P=0.007	P=0.001

The regression analyzes showed that for the one-unit increase in IHLC (R2=13%), PHLC (R2=3%), and CHLC (R2=16%), in the score of dimensions of the health locus of control, the total BCSBQ scores increased 0.54, 0.31, and 0.57 respectively. For each unit increase in age and education, the knowledge and perceptions of the BC score increased 0.05 and 0.23 units respectively. For one-unit increases in the IHLC, PHLC, age, and education, the attitudes towards the general health check-up score increased 0.17, 0.1, 0.05, and 0.188 respectively.

For each unit increase in the IHLC, CHLC, age and education deminsions, the barriers to screening score increased 0.11, 0.27, 0.08, and 0.28 respectively. However, for each unit increase in the PHLC, the barriers to screening score decreased 0.15.

Discussion

The result of our study showed that there was a significant association between breast cancer screening beliefs of women with the three dimensions of the MHLC. In this study, the mean score of IHLC and CHLC were close, and the lowest score was related to the powerful others health locus of control.

Similar to our study, in Rowe et al.,’s (2005) study, the internal HLOC have a significant relationship with breast cancer-specific control (Rowe et al., 2005). Adebimpe and Oladimeji (2014) demonstrated that the internal locus of control predicted cervical cancer screening behavior of women. Nonetheless, in Tahmasebi and Noroozi (2016) study, the health locus of control did not predict the BSE behavior of women. Holm et al., (1999) reported that a heath belief model and health locus control did not predict the BCS behavior of women. Also, in Sahraee et al.,’s (2013) study, the locus of control did not predict the breast self-examination behavior of women. In a study on deaf women, Wang et al., (2010) reported that the internal health locus of control did not predict their cervical cancer knowledge.

Women’s sense about their health control is affected by their beliefs (Epstein, 2014). Belief is a cognitive factor that has a key role on perceived risk of disease (Tilburt et al., 2011). It seems that one of the reasons for the controversy between the results of these studies is the variation found in the studied populations that also have cultural differences.

Our result showed that the lowest mean score was allocated to the attitude about BCS and the highest mean score was allocated to the knowledge about BCS. Kawar et al., (2009) reported that knowledge of women about BCS was at mid-level, but their belief about using BCS was high. In Tilaki's (2015) study done in Northern Iran, there was a low level of awareness and practice of BCS. In another study done on the female personnel of Walailak University, the knowledge of BCS was very high (Kotepui et al., 2015). The main barrier for cancer screening is the low level of cancer awareness (Kadam et al., 2016). Usually positive changes in the attitude of people occur as a result of increasing awareness and their education.

In this study, age and level of education were the positive predictor variables of knowledge and perceptions of BC that influenced the attitudes towards general health check-ups, and barriers to the screening dimension of breast cancer screening beliefs. Similar to our study, Kwok et al., (2016a) reported that Arabic-Australian women with higher educational levels had significantly higher scores in the three dimensions of the BCSBQ. In Kim et al.,’s (2014) study, the education level predicted the BCS behavior of Korean women. One study in African-American women demonstrated that there was no association between health beliefs and education years (Barroso et al., 2000). Higher levels of education lead to increasing awareness about each subject, and this can also affect the health belief of people and assist them in adopting good health practices. Higher education levels lead to greater access to health information and this can also affect their belief in the type of health locus of control. Also, people who are older usually have more life experience and make better self-informed choices than other age groups, and this can also positively affect their health beliefs. In our study, all dimension of the health locus of control predicted the three dimensions of the BCSBQ. In Hashemian et al.,’s (2015) study, there was not a significant relationship between attitude about breast cancer and all the dimensions of the health locus of control (belief in internal health locus of control, belief in chance, belief in other people). Beliefs are part of the attitude and knowledge of individuals and it can also affect one’s belief in the type of health source of control. To reduce the breast cancer morbidity and mortality psychological attributions and time of seeking help is very important (Attari et al., 2016).

Our study provided new insights about the BCSB of Iranian women with MHLC. By knowing the health belief of women, we can design an intervention to influence their beliefs. However, further qualitative studies are needed to examine these concepts.

Limitation

In this study all data were obtained by self-reported questionnaires, so different factors could affect them.

In Conclusion, in our population study, all dimensions of the health locus of control were able to help predict the study participants’ breast cancer screening beliefs.

Conflict of interest

The authors declare they have no conflicts of interest.

Table 3

Regression Model for Predictor Variable of BCSBQ Score and Its Subgroup Items

Dependent variable	Model	B	Std. Error	Beta	t	Sig
BCSBQ	IHLC*	0.54	0.07	0.36	7.02	0.001
	PHLC**	0.31	0.09	0.19	3.47	0.001
	CHLC***	0.57	0.07	0.406	7.97	0.001
Knowledge and perceptions of BC	IHLC	0.04	0.04	0.078	1.05	0.29
	PHLC	-0.05	0.04	-0.09	-1.25	0.21
	CHLC	0.02	0.03	0.04	0.63	0.52
	Age (year)	0.05	0.01	0.16	2.9	0.004
	Education (year)	0.23	0.05	0.27	4.7	0.001
Attitudes towards general health check-ups	IHLC	0.17	0.04	0.27	4.07	0.001
	PHLC	0.005	0.04	0.007	0.11	0.91
	CHLC	0.105	0.04	0.17	2.55	0.011
	Age (year)	0.05	0.02	0.13	2.44	0.015
	Education (year)	0.188	0.052	0.19	3.6	0.001
Barriers to screening	IHLC	0.11	0.47	0.16	2.49	0.013
	PHLC	-0.15	0.5	-0.19	-3.05	0.002
	CHLC	0.27	0.04	0.4	6.35	0.001
	Age (year)	0.08	0.022	0.202	3.97	0.001
	Education (year)	0.285	0.056	0.26	5.12	0.001

, Internal Health locus of control;

, Powerful others Health locus of control;

, Chance Health locus of control