Determinants of Early Marriage and Its Affect on Depression: A Population-based Study&nbsp;

doi:10.21203/rs.3.rs-78744/v1

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Determinants of Early Marriage and Its Affect on Depression: A Population-based Study

https://doi.org/10.21203/rs.3.rs-78744/v1

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posted 22 Sep, 2020

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Background: Early Marriage (EM) has defined as a marriage or union between two people when one or both are below 18. EM has serious side effects on psychological well-being and increases the probability of depression risk in the future. In Iran, EM predictors and the risk of depression among married people are poorly understood.

Methods: A community-based descriptive-analytic study was conducted among the married general population in Malekan County. Stratified random sampling was performed. The face-to-face interviews and Beck depression inventory scale II were used by trained interviews. Multiple logistic regression was used to calculate adjusted odds ratios with 95% confidence interval the association between EM and predictor factors.

Results: A total of 402 married participated in the study. The prevalence rate of EM was found 87 (21.64%). Out of 87 EM people, 80% were female. Almost 60% and 46.4% of EM and non-EM respondents had depressive symptoms, respectively. In the final analysis, EM was increased risk of depression (AOR=1.60; 95% CI: 1.2 – 2.72). Moreover, educational level of parents (AOR=5.53; 95% CI: 2.14 – 17.22), educational level of participants, (AOR=4.27; 95% CI: 1.28 – 14.35), female (AOR=2.43; 95% CI: 1.32 – 4.46), and family income (AOR=2.74; 95% CI: 1.00 – 7.84), were found significant predictors of EM.

Conclusion: The educational level of married people and their parents are strong predictors of EM. Furthermore, EM affects depressive symptoms in the future. A general policy with inter-sectoral collaborations and increasing health literacy and effective training programs are imperative to reduce EM rates.

Sexual & Reproductive Medicine

Early marriage

Iran

Depression

Predictors

Early Marriage (EM), also known child marriage is defined as a marriage or union between two people when one or both are below the age of 18 years at the first time of the marriage [1]. EM is one of the most important public health concerns and a serious socio-cultural phenomenon in both developed and developing countries [2]. EM is one of the most important stressful life events and a worldwide concern that is related to many social and mental disorders for adolescents, especially in developing countries [1, 3]. Globally, it is estimated that EM is affected more than 60 million child girls.[4] Annually, 10 million EM occurred that is almost 27,397 a day or 19 every minute, almost one girl every three seconds [2]. According to evidence, the highest rates of EM were reported from Sub-Saharan Africa [1, 4]. Approximately one in three girls live with EM in the most developing countries [1, 5].

EM girls are exposed to a higher risk of maternal mortality. Among EM girls complications for the duration of delivery and gestation is one of the leading causes of death. Also, children born to young mothers less than 18 years are more at risk for preterm birth and low birth weight as well as poor nutritional and other health outcomes [6, 7]. EM has a side effect on physical and mental health, well-being, academic progress, bonding with their peers, and maturation of younger girls and boys [8]. Among Iranian communities the highest prevalence of EM was reported in Sistan and Baluchestan with 40% [9]. EM is a socio-cultural event with a high prevalence that associated with depressive disorders and mental health in developing countries and also in Iran [1, 10]. Teenagers with EM are also highly vulnerable to depression and family conflicts due to a lack of enough life skills [11]. Moreover, family and marital conflicts is the most important predictors for suicidal behaviors in Iran and many of societies. Hence, EM is related to suicidal behaviors and the best recognition of EM predictors are useful for health care systems [12, 13].

A health community assessment in Malekan county North West of Iran identified that EM is one of the serious health problems. Local reports indicated that a high prevalence of EM in young girls, especially rural areas [1, 14]. However, in Iran, several gaps remain in our understanding of EM prevalence, psychological outcomes prevalence among EM people and the major determinants of EM and its linkages with depression. In the general population of married people, socio-economic and behavioral factors that affect EM are poorly understood. Furthermore, there are limited perceptions of the reasons that increase child marriage prevalence for reduced psychological well-being and poor mental health outcomes. The present study was aimed to determine the prevalence and determinant factors of EM and it’s associated with depression among married general population in Malekan, Iran.

Study design and sampling

A community-based descriptive-analytic study was performed in Malekan County of Iran from May 2017 through December 2017 among the married general population. The study aimed to assess EM predictors and prevalence of depression among EM people. Malekan County is located in the Northwest of Iran and in a 200 Km distance with Tabriz city. The County population in the 2017 census, was 115,717 and most of them (almost 70%) lived in the rural areas. The main occupation of County residences are farming or farming-related.

The sample size was determined based on approximate prevalence of EM P = 0.30, 95% confidence interval, α = 0.05, and accordingly yielding a sample size of 360 individuals. We added 10% to compensate for non-responders, hence the final sample size was estimated at 402 people.

Stratified random sampling and proportional to the size of the population was performed in each stratum. The study selected two cities and thirty villages from a total of 2 cities and 52 county villages by a simple random sampling method (sampling frame). Systematic random sampling was conducted within villages and cities. The formula I = Si / Ni, where Ni is the samples of each village or city and Si is the number of households, was used to determine sampling interval. To select the first sample, the right side of the health center as used by a random numbers table. Households (married) were surveyed for EM determinants and depressive symptoms, and if agreed and cooperated, the questionnaires were completed by trained interviewers. In the lack of consent, the next household was investigated.

Data collection

EM, defined any marriage or union between two people when one or two are less than 18 years. The face-to-face interviews (in a single sitting lasted 20 minutes) were used by trained interviews via a semi-structured questionnaire to assess EM or child marriage determinants, socio-economic status, behavioral risk factors, and other health-related information. The additional data were collected from the household's records in the health centers. Furthermore, we used native health workers to collect valid information about participants.

Depressive symptom was assessed by Beck II scale tool. This tool was designed on a 4-point scale. The ranges from 0 to 13, 14 to 19, 20 to 28, and 29 to 63, were considered normal, mild, moderate and severe ranges depression, respectively.

Data analysis

The SPSS software (version 21.0, Chicago, IL, USA) was used data analysis. Data normality was checked by using the Kolmogorov-Smirnov test. Bivariate analysis was used by Chi-square (χ²) and T-tests to estimate binary/categorical and continuous variables with the outcome (early marriage), respectively. Depressive symptoms distribution were compared between EM and not-EM people. Multiple logistic regression was used to calculate cruds and adjusted odds ratios with 95% confidence interval the association between EM and predictor factors. In the all tests, P-value < 0.05 was considered significant.

In this study, a total of 402 married participants were interviewed and participated in the study. Out of them, the prevalence rate of EM was 87 (21.64%) in this region. Two hundred sixty 260(64.67%) of respondents were female. Out of 87 EM people, almost 69 (80%) were female. Table 1 indicates the socio-economic and other determinants factors on EM risk among 402 married people. The study found that a significant association between EM risk and educational level of participants and their parents, female gender, monthly income less than 2 million Rial, household occupation, and smoking status (P-value < 0.05). Also, the study found no significant association between residence (rural and urban) of respondents and EM risk.

Table 1

Socio-economic status and determinants of early marriage among married people
Variables		Early marriage (N = 402)		Total N (%)	P-value
Variables		Yes (N = 87)	No (N = 315)	Total N (%)	P-value
Gender	Female	69	191	260 (64.67)	0.001
Gender	Male	19	123	142 (35.30)	0.001
Age group*	20>	41	8	49 (12.20)	0.153
	20–30	21	181	202 (50.25)
	> 30	17	134	151 (37.55)
Educational status*	Non-academic	78	263	341 (84.82)	0.002
Educational status*	Academic	9	52	61 (15.18)	0.002
Educational level of Parent	Non-academic	81	255	336 (83.58)	0.001
Educational level of Parent	Academic	6	60	66 (16.42)	0.001
Family income	Blew 2 million	75	191	266 (66.20)	0.042
Family income	Above 2 million	12	124	136 (33.83)	0.042
Resident	Urban	28	111	139 (34.57)	0.677
Resident	Rural	55	204	259 (64.43)	0.677
Occupation	Household	67	156	223 (55.47)	0.003
	Farming or farming related	3	38	41 (10.20)
	Student	6	24	30 (7.46)
	Others	11	97	108 (26.87)
Smoking status	Yes	3	40	43 (10.70)	0.007
Smoking status	No	84	275	359 (89.30)	0.007
Alcohol consumption	Yes	4	14	18 (4.48)	0.819
Alcohol consumption	No	83	301	384 (95.52)	0.819
Substance abuse	Yes	2	8	10 (2.50)	0.447
Substance abuse	No	85	307	392 (97.50)	0.447
Family size	2≥	13	33	46 (11.44)	0.245
	2–4	57	226	283 (70.40)
	≥ 4	17	56	73 (18.20)
* At the study time

Figure 1 demonstrates the prevalence rate of depression among EM and not-EM people. Almost 60% of EM cases had depressed whereas 46.4% of not-EM cases not depressed. Regarding Table 2, it was found a relationship between EM and depression risk (P-value < 0.016). Likewise, more than 16% of EM people and 8.25% of not-EM people had severe depression, respectively.

Table 2

The association between early marriage and severity of depressive symptoms among married people
Variables		Early marriage (N = 402)		Total (N = 402)	P-value
Variables		Yes (N = 87)	No (N = 315)	Total (N = 402)	P-value
depressive symptoms	Not depressed	35 (40.23)	169 (53.65)	204 (50.75)	0.016
	Mild	21 (24.13)	78 (24.76)	99 (24.62)
	Moderate	17 (19.54)	42 (13.33)	59 (14.67)
	Sever	14 (16.10)	26 (8.25)	40 (9.95)
Total		87 (100)	315 (100)	402 (100)

The multiple logistic regression analysis indicated that who had no-academic or low educational level of parents and participants highly associated with EM event, so that increased odds of EM 5.53 and 4.27 times, (AOR = 5.53; 95% CI: 2.14–17.22), (AOR = 4.27; 95% CI: 1.28–14.35), respectively. As well, the gender of females (AOR = 2.43; 95% CI: 1.32–4.46), those who had less than 2 million income per monthly (AOR = 2.74; 95% CI: 1.00–7.84), have had a significantly higher risk of having EM.

Moreover, EM people 1.60 times more likely attacked by depression symptoms as compared to those who had no EM event (AOR = 1.60; 95% CI:1.02–2.72). More details are shown in Table 3.

Table 3

Measure of association between early marriage risk and predictors by multiple logistic regression*
Variables		Crude OR (95% CI)	Adjusted OR (95% CI)
Gender	Male	1	1
Gender	Female	2.31 (1.34–4.07)	2.43 (1.32–4.46)
p-value		0.003	0.004
Educational level of participants	Academic	1	1
Educational level of participants	Non-academic Ɨ	5.47 (1.65–17.82)	4.27 (1.28–14.35)
P-value		0.005	0.019
Educational level of parent	Academic	1	1
Educational level of parent	Non-academic	6.09 (2.44–19. 74)	5.53 (2.14–17.22)
P-value		0.001	0.002
Family income (monthly)	More than 2 million	1	1
Family income (monthly)	Less than 2 million	2.71 (1.02–7.37)	2.74 (1.00–7.84)
P- value		0.049	0.052
Depressed	No	1	1
Depressed	Yes	1.72 (1.06–2.77)	1.60 (1.02–2.72)
P- value		0.029	0.048
*Adjusted for occupation, and smoking status
Ɨ included primary, and secondary school

The final analysis of the study showed that socio-economic status especially low educational level of parents, educational level of respondents, and family income were strong and significant predictors of EM, as a global concern. This finding is in line with studies done in Ethiopia, Serbia, Uganda, Sudan, and the Democratic Republic of Congo [15–18].

Parents with less understanding of family life and worldview may consider EM as the best solution to create a good association with others [19]. The advanced one’s educational achievement, the more awareness she/he gets and comprehends, including all knowledge about reproductive health, the best age of marriage, and the impact of having an EM [4].

Likewise, in this study, having a history of EM event is a significant predictor of developing depressive symptoms. EM people are more suffering from depressive disorders in the future. Limited studies have focused on this issue. The increasing trend of depressive symptoms in participants of the present study and EM girls and boys are a serious concern. Obviously, increasing the risk of depression is just one of the adverse outcomes of EM. Undoubtedly, EM has many negative effects on other aspects of mental and physical health, well-being, fetal health and birth weight, education and academic progress, communication with peers and other social developments [1, 20, 21].

To our knowledge, EM as a worldwide and public health concern and its importance, there is a high impact of educational level and socio-economic status, and a high prevalence of depression on those, little is known about the existence of depressive symptoms in EM people in Iran especially in developing countries [1]. EM people have very low life skills and experiences or may behave inappropriate husband selection at the age of under 18 years. These elements could be rising marital conflicts, as a strong predictor for depressive disorders and suicidal behaviors in the future [12, 22].

Several procedures may be a role in the association between EM and psychological well-being. Evidence suggests that EM often exposes girls to raised risk of intimate partner violence, reduced communication with the husband or spouse, lack of awareness about controlling fecundity, low decision-making power, and low access to resources compared to girls who marry as appropriate age or adults [3, 23].

The results of this study indicated that the EM rate in girls is higher than boys. Close to 80% of EM has occurred in the female gender. Special social approach, cultural stigma, rural setting and low education status are factors may affect child marriage of girls in this region. In this study, the prevalence rate of EM was reported at 21.64%. This prevalence is high but higher prevalence was reported from African countries and Bangladesh in Asia [24, 25].

EM is an emergency issue in prevalence globally. Commonly, EM is prevalent in rural areas and undeveloped settings, it was not found any association between EM and residence of respondents in this study. The rate of EM was high in the city similar to villages. The multiplicity of villages and their proximity to the city, their continuous linking with the city and the lack of modernization of the city and the distance from the academic environment can be the main reasons [26, 27].

The study had some limitations. First, we couldn't collect some social determinants of EM including social and cultural barriers, parents' approach to EM, autonomy in decision-making, and relationship with parents, due to the qualitative genus of these variables. Nevertheless, we gathered socio-economic and predictors of EM. As well as, it is believed that the most important predictors of EM are attributed to socio-economic status especially educational level and health literacy. If the educational level of people will be raised, the EM rate will be decreased.

Another problem was descriptive in the design of this study and cannot ascertain causal inference. The temporal association between EM and depression in a cross-sectional study is not predictable. But based on the Beck II scale tool and self-reported participants, depressive symptoms (outcome) were developed after EM events (exposure). Moreover, to minimize this problem we used native community health workers to collect valid data and analyzed by multiple logistic regression for estimating adjusted odds ratios.

In this study, the prevalence rate of EM was found high. The educational level of respondents and their parents, family income (low), female gender and household occupation that related to females were strong significant predictors of EM in this County. More importantly, EM people suffering from depressive symptoms and poor psychological well-being.

Recommendations

Increasing health literacy and academic education is essential for the best understanding of the values of life and worldview of the general population. A general policy with strong political commitment and inter-sectoral collaborations of various sectors of the community such as health system, welfare, governorate, legal affairs, municipality, media, clerics, and social organizations are needed to reduce EM rate. Policymakers should take bold action to place equity concerns and the moralities and protection against EM girls and boys.

Some proportion of EM events are forced marriage. The study of the impact of forced marriages on various aspects of mental health situations is deserving attention. Furthermore, longitudinal studies are required for assessing and monitoring EM people's physical and psychological well-being.

Early marriage

Ethics approval and consent to participate

This study was approved and funded by Social Determinants of Health Research Center (SDHRC) and ethics committee under code IR.TBZMED.REC.1394.674 by Tabriz University of Medical Sciences. Written inform consents were obtained from all subjects before the interview. For subjects who had under 18 years old, we have obtained written informed consent from the father or guardian of participants in a face to face position with justifying the purpose of the study. All participants have given consent for their data to be used in the research. Participants' names and secret information were entered into the electronic system merely as a code and kept strictly confidential.

Consent for publication

Not Applicable.

Availability of data and materials

The datasets generated and/or analysed during the current study are not publicly available due to the sensitivity of the suicide issue and the confidentiality of the information, the consent of the sponsoring organization is required. But are available from the corresponding author on reasonable request.

Competing Interest

The authors declare that there is no conflict of interest and financial disclosure.

Funding

This study was financially supported by Tabriz University of Medical Sciences to number 5/4/7656, and it was done with supervising of the Social Determinants of Health Research Center. All research sections included the proposal development and revising and study financial costs were fund by Tabriz University of Medical Sciences.

Authors’ Contributions

HA developed idea and protocol, interpretation of the data, data analysis, and data collection and drafted all sections of the manuscript. AF and MF conceived of the study, contributed in the protocol development, and technical comments. EDE contributed in the protocol development, data collection and contribute in the manuscript development. HB contributed to the development of the protocol and edited of manuscript.

Acknowledgments

We express our gratitude to our colleagues in “Research Center of Psychiatry and Behavior Sciences” and Center for clinical research development, Razi Psychiatric Hospital, Tabriz University of Medical sciences.

Fakhari A, Farahbakhsh M, Azizi H, Esmaeili ED, Mizapour M, Rahimi VA, Hashemi L, Gaffarifam S. Early marriage and negative life events affect on depression in young adults and adolescents. Archives of Iranian Medicine. 2020;23(2):90.
Workineh S, Kibretb GD, Degu G. Determinants of early marriage among female children in Sinan District, Northwest Ethiopia. Health Science Journal. 2015;9(6):1.
Rumble L, Peterman A, Irdiana N, Triyana M, Minnick E. An empirical exploration of female child marriage determinants in Indonesia. BMC Public Health. 2018;18(1):407.
Bezie M, Addisu D. Determinants of early marriage among married women in Injibara town, north West Ethiopia: community-based cross-sectional study. BMC Womens Health. 2019;19(1):134.
de Groot R, Kuunyem MY, Palermo T. Child marriage and associated outcomes in northern Ghana: a cross-sectional study. BMC Public Health. 2018;18(1):285.
Gibbs CM, Wendt A, Peters S, Hogue CJ. The impact of early age at first childbirth on maternal and infant health. Paediatr Perinat Epidemiol. 2012;26:259–84.
Fall CH, Osmond C, Haazen DS, Sachdev HS, Victora C, Martorell R, Stein AD, Adair L, Norris S, Richter LM. Disadvantages of having an adolescent mother. The Lancet Global Health. 2016;4(11):e787–8.
Kyari GV, Ayodele J. The socio-economic effect of early marriage in North Western Nigeria. Mediterranean Journal of Social Sciences. 2014;5(14):582.
Matlabi H, Rasouli A, Behtash HH, Dastjerd AF, Khazemi B. Factors responsible for early and forced marriage in Iran. Science Journal of Public Health. 2013;1(5):227–9.
Efevbera Y, Bhabha J, Farmer P, Fink G. Girl child marriage, socioeconomic status, and undernutrition: evidence from 35 countries in Sub-Saharan Africa. BMC Med. 2019;17(1):55.
Horwitz AV, White HR. Becoming married, depression, and alcohol problems among young adults. Journal of health and social behavior 1991:221–237.
Azizi HFA, Davtalab E, Fatahbakhsh M, Mirzapour AV. The Role and Comparison of Stressful Life Events in Suicide and Suicide Attempt: A Descriptive-Analytic Study. Iranian Journal of Psychiatry and Behavioral Sciences 2020, 14.
Nazarzadeh M, Bidel Z, Ayubi E, Asadollahi K, Carson KV, Sayehmiri K. Determination of the social related factors of suicide in Iran: a systematic review and meta-analysis. BMC Public Health. 2013;13(1):4.
Candidate HBP, Farahbakhsh M. Developing and implementing a community-based suicide prevention program in Iranian primary health care: study protocol.
Mengistu MM. Early marriage in Ethiopia: so little done but so much to do. Bus Manag. 2017;9(3):1.
Hotchkiss DR, Godha D, Gage AJ, Cappa C. Risk factors associated with the practice of child marriage among Roma girls in Serbia. BMC international health human rights. 2016;16(1):6.
Ali A, Ibrahim I, Abdelgbar S, Elgessim M. Socio-demographic factors affecting child marriage in Sudan. J Women's Health Care. 2014;3:163.
Mpilambo JE, Appunni SS, Kanayo O, Stiegler N. Determinants of early marriage among young women in Democratic Republic of Congo. Journal of Social Sciences. 2017;52(1–3):82–91.
Hardiani H, Junaidi J. Determinants of early marriage and model of maturing marriage age policy: a case in Jambi Province, Indonesia. Innovative Issues Approaches in Social Sciences. 2018;11(1):73–92.
Mahdaviazad H, Malekmakan L, Sayadi M, Tadayon T. Trends in age at first marriage in women and related factors: A population-based study in southwestern Iran. Women Health. 2019;59(2):171–80.
Whitton SW, Olmos-Gallo PA, Stanley SM, Prado LM, Kline GH, St Peters M, Markman HJ. Depressive symptoms in early marriage: Predictions from relationship confidence and negative marital interaction. J Fam Psychol. 2007;21(2):297.
Noller P, Feeney JA, Bonnell D, Callan VJ. A longitudinal study of conflict in early marriage. Journal of Social Personal Relationships. 1994;11(2):233–52.
Kamal SM, Hassan CH, Alam GM, Ying Y. Child marriage in Bangladesh: trends and determinants. Journal of biosocial Science. 2015;47(1):120–39.
Hossain MG, Mahumud RA, Saw A. Prevalence of child marriage among Bangladeshi women and trend of change over time. J Biosoc Sci. 2016;48(4):530–8.
Efevbera Y, Bhabha J, Farmer P, Fink G. Child marriage and underweight in sub-Saharan Africa: a 35 country cross-national study. J Adolesc Health. 2018;62(2):25–6.
Khanam K, Laskar BI. Causes and consequences of child marriage–A study of Milannagar Shantipur village in Goalpara district. International Journal of Interdisciplinary Research in Science Society Culture (IJIRSSC). 2015;1(2):100–9.
Yount KM, Crandall A, Cheong YF, Osypuk TL, Bates LM, Naved RT, Schuler SR. Child marriage and intimate partner violence in rural Bangladesh: a longitudinal multilevel analysis. Demography. 2016;53(6):1821–52.

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posted 22 Sep, 2020

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Determinants of Early Marriage and Its Affect on Depression: A Population-based Study

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Version 1

Abstract

Figures

Introduction

Methods

Study design and sampling

Data collection

Data analysis

Results

Discussion

Limitations

Conclusion

Recommendations

Abbreviations

Declarations

References

Status:

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