https://doi.org/10.47108/jidhealth.Vol5.Iss4.266 Yahyaa BT, et al., Journal of Ideas in Health 2022;5(4):794-799 © The Author(s). 2022 This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (https://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article unless otherwise stated. e ISSN: 2645-9248 Journal homepage: www.jidhealth.com Open Access Impact of family structure and sociodemographic characteristics on parents headed families in Ramadi City, Iraq Badea'a Thamir Yahyaa1, Ru'ya Abdulhadi Al-Rawi1, Mustafa Yaseen Taha2, Yaseen T. Sarhan1, Ban Nadum Abdul Fatah1, Ahmed K. Al-Delaimy1, Mustafa Ali Mustafa Al-Samarrai1, Omar Rashid Mukhlif3, Mahasin A. Al-Taha1 Abstract Background: Several factors in the family profile contribute significantly to determining the effective policy when heading the family. This study aims to evaluate the sociodemographic and economic burdens on parents-headed families in Ramadi City, west of Iraq. Methods: A prospective cross-sectional household-based survey was conducted from 1st to 28th February 2019 among Iraqi people residents in Ramadi city, Anbar province. A multistage sampling technique was recruited to identify the eligible sample. A semi-structured questionnaire was used to interview (face-to-face) the respondents. Data from 267 households have undergone univariate and bivariate analyses. Multiple logistic regression, odds ratio (OR), and confidence intervals (CIs) were estimated to explore the predicting variables. The statistically significant is considered at less than 0.05. Results: The mean age of respondents was 43.88 (± 12.1) years (range: 25 to 69 years). Out of the total surveyed people, 52.8% were young (less than 44 years), male-headed families (59.6%), low educated level (65.5%), unemployed (52.4%), married (67.4%) and headed big families of seven members and above (43.1%). History of chronic diseases and smoking habits was positive among 46.4% and 45.7% of respondents, respectively. Findings of the binary logistic regressions showed that history of smoking (OR = 7.201, 95% CI: 3.254 to15.936), families of 7 members and above (OR = 6.239, 95% CI: 2.938 to 13.250), unhappy (OR = 5.237, 95% CI: 2.140 to 12.818), aged 44 years and above (OR = 3.518, 95% CI: 1.581 to 7.829), being single (unmarried, divorced, widow) (OR = 2.697, 95% CI: 1.230 to 5.914), and had a monthly income of less than USD400 (OR = 2.333, 95% CI: 1.112 to 4.859) are significantly associated with female-headed family. Conclusion: Priority must be given to some elements such as genetic, physical differences, biopsychosocial factors, and the economic situation when discussing parents' behavior in heading the family. Keywords: Family Profile, Sociodemographic Factors, Gender, Head of Family, Society, Iraq Background The family forms an indispensable unit in building a society in many cultures, especially in Arab communities. Therefore, any society's development depends on the family's success in building its components. The Iraqi family is distinguished by the number of its members and its close association with the restoration of society [1]. However, the rapid developments in technology, accelerated lifestyle changes, successive wars, displacement, malnutrition, unsafe drinking water, and poor medical and healthcare services Were existential challenges that led to the restructuring of the family entity, such as the early separation of children from the family and appearance of single-head families [2,3,4]. United Nations Development Program (UNDP) reported in 2013 that for every ten Iraqi families, one family is headed by the female gender [5]. Most of these women were either widow, divorced or responsible for caring for their unwell husbands. Iraq's security and economic disturbances burdened poor families and doubled the incidence of chronic diseases. Hussain and Lafta [6] found that the incidence of cardiovascular disease and diabetes had significantly increased after 2003. A report by WHO (2016) found that non-communicable diseases (NCDs) were responsible for about 55.0% of total death among Iraqi ___________________________________________________ med.badeaa.thamir@uoanbar.edu.iq 1Department of Family and Community Medicine, Faculty of Medicine, Anbar University, Anbar, Iraq A full list of author information is available at the end of the article 10.47108/jidhealth.Vol5.Iss4.266 http://www.jidhealth.com/ Yahyaa BT, et al., Journal of Ideas in Health (2022); 5(4):794-799 795 people in 2016 [7]. NCDs are directly related to the lifestyle and behavior of individuals and society. Bad dietary choices, physical inactivity, heavy smoking, and drug and alcohol addiction are the common predictors of NCDs [8]. The prevalence of obesity (Body Mass Index, BMI ≥30 kg/m2) in Iraq was 66.9% in a national survey (2005–2006) [9] and 33.9% in a 2015 national survey [10]. The trend in Iraq seems higher than the global trend of obesity which reported a male prevalence of 10.8% and a female prevalence of 14.9% [11]. According to the world bank report, the prevalence of tobacco smoking in Iraq was 18.5% in 2020 [12]. There is a noticeable increase in nicotine consumption rates in areas experiencing conflict. The problem of tobacco smoking in Iraq is complicated due to the continuity of internal conflicts for many years [13]. The Iraqi family often witnesses the addition of new individuals to the list of smokers with the deterioration of the economic, security, and service situation. Previous studies have shown the psychosocial and economic burdens of displacement on the Iraqi family, especially when the family must rehabilitate the destroyed house or rent another house [3,4]. Forced displacement with the lack of alternatives to provide safety and suitable living generated unbearable challenges for the head of the family. Many of them were victims of chronic diseases and mental disorders. This study aims to assess the effect of the family structure and sociodemographic factors on the head of a family in Ramadi city, Iraq. Methods Study design and population We conducted a prospective cross-sectional household-based survey from 1st to 28th February 2019 among Iraqi people residents in the Al-Tameem neighborhood in the city center of Ramadi, Anbar province. The sampling method was a face-to- face survey of heads of households using a multistage sampling technique. Ramadi city has sixteen neighborhoods; then, we randomly selected one neighborhood; then, we theoretically divided the selected neighborhood into four quarters; then, from each quarter, we selected eight blocks; and then we selected ten houses from each selected block; then, one head of house interviewed. A well-trained team of interviewers was recruited to explain the objectives and conditions of the study. Moreover, the interviewers assure respondents' freedom to participate or withdraw and that all information and opinions gathered would be anonymous, confidential, and used for the purpose of research". The weekend days (Friday and Saturday) were the favored dates to meet the most eligible house heads. In some cases, it is agreed with the respondent on the place and the appropriate date for the interview later. The authors ensured supervision during all stages of the study, including the data collection phase. Out of 320 visited households, 290 agreed on the interview. The total population was 267 after excluding 23 uncompleted questionnaires. Inclusion and exclusion criteria All Iraqi people, households, both genders, at least 18 years old or older, and willing to participate are included in the study. At the same time, we excluded incomplete data, non-household family members, mentally unstable, and those not willing to participate. Sample size The sample size calculator arrived at 264 participants, using a margin of error of ± 6%, a confidence level of 95%, and a 50% response distribution [14]. Non-response correction = 10%. Thus, the total sample size was (264+26) 290. Supervision during the data collection phase was ensured in all stages. After excluding 23 incomplete documents, the sample was 267 for final analysis. Study instrument The data was collected using a semi-structured household questionnaire. The English language was used to prepare the questionnaire and then translated into the local native language (Arabic). Content validity was ensured, and Cronbach alpha reliability reached 72.6. A pilot test was performed among fifteen heads of households who were not included in the study. The questionnaire has three components; the first part is the sociodemographic and economic factors. The second part included one closed-ended question used to self-rank the health status. Moreover, a consent form must be signed before heads of households are allowed to participate in the study. Dependent variable The dependent variable was the gender of the head of the household as "male" and "female". In our study, the head of the household was defined as the individual who provides support and is responsible for governing a group of family members, such as "dependent children, grandchildren, parents, or other relatives" [15]. Independent variables For the purpose of analysis, some of the sociodemographic variables were exposed to categorization. The age variable was categorized into two groups codded "one" for respondents aged less than 44 years and coded "zero" for those aged 44 years and above. The health of respondents was categorized as "healthy" and coded "one" and "unhealthy" and coded "zero" Marital status was captured as binary, and a value of "zero" was used for married participants and the unmarried, widows, divorced considered "single" and coded "one". We defined consanguineous marriage as a union (marriage) between two persons who are closely related as second cousins or closer. The head of household with consanguineous marriage was coded "0", and those without were coded "1". The big families having seven members and more (including the parent and grandparents) have been coded with "zero", while the families with less than seven members cod were ed with"1". Chronic disease variable was defined as a condition that "last one year or more and require ongoing medical attention or limit activities of daily living or both" [16] such as dancer, diabetes, high blood pressure, cardiovascular diseases, etc. Respondents with at least one chronic disease were coded "zero," and those with no chronic illness were coded "1". The head of household with a history of tobacco smoking, hookah, electronic cigarette, etc., was coded "Zero," and those with a history of smoking were coded "one". Respondents who described themselves as happy were coded "one," and unhappy respondents were coded "zero". At the time of data collection (1st January 2021), the exchange rate of Iraqi Dinar (IQD)1 = United States Dollar (USD) 0.0008. Therefore, the monthly income (including all incentives Yahyaa BT, et al., Journal of Ideas in Health (2022); 5(4):794-799 796 and bounces) of our respondents was coded "zero" for those who earned less than USD 400 (IQD 600,000) and coded "one" for those who earned more than USD 400. The occupation was recorded and coded into "one" for is currently employed (has a fixed employment in the government of private sectors) and the code of "zero" for those currently unemployed. Statistical analysis The data were analyzed using IBM SPSS version 16. Categorical variables are presented in terms of frequencies and percentages. Bivariate analyses were performed using the chi- square test for the categorized variables. In the multiple logistic regression, odds ratio (OR) and confidence intervals (CIs) were estimated, and only the variables with a p-value of < 0.05 were recruited to explore the factors that predict female-headed households. The statistically significant is considered at less than 0.05. Results Descriptive and general characteristics of related factors Three hundred and sixty-seven heads of households have been surveyed. The mean age was 43.88 (± 12.1) years, ranging from 25 to 69 years old. Most of the respondents were males (59.6%), aged less than 44 years old (52.8%), married (67.4%), and with a history of consanguineous marriage among 56.6% of them. Most household respondents had a low educated level (65.5%), with big families of seven members and above (43.1%), were exposed to internal displacement (49.1%), and described themselves as unhappy people (68.2%). History of chronic diseases and smoking habits was positive among 46.4% and 45.7% of respondents, respectively. However, 63.3% of them ranked themselves as healthy. Concerning the economic situation, more than half of the respondents were unemployed (52.4%), with a monthly salary exceeding USD 400 (57.7%) (Table 1). Table 1 Univariate and bivariate analysis of household-related factors (n=367) Factors Category Total (n=267) Female 108(40.4) Male 159(59.6) χ2 P Age <44 years 141(52.8) 30(21.3) 111(78.7) 45.60 0.000 >44 years 126(47.2) 78(61.9) 48(38.1) Health Unhealthy 98(36.7) 51(52.0) 47(48.0) 8.64 0.004 Healthy 169(63.3) 57(33.7) 112(66.3) Marital status Single 87(32.6) 50(57.5) 37(42.5) 15.52 0.000 Married 180 (67.4) 58(32.2) 122(67.8) Consanguineous marriage Yes 112(41.9) 39(34.8) 73(65.2) 2.54 0.111 No 155(58.1) 69(44.5) 86 (55.5) Family members > 7 115(43.1) 83(72.2) 32(27.8) 84.40 0.000 < 7 152(56.9) 25(16.4) 127(83.6) Chronic diseases Yes 124(46.4) 81(65.3) 43(34.7) 59.46 0.000 No 143(53.6) 27(18.9) 116(81.1) Smoking habits Yes 122(45.7) 70(57.4) 52(42.6) 26.72 0.000 No 145(54.5) 38(26.2) 107(73.8) Educational level Low 175(65.5) 67(38.3) 108(61.7) 0.99 0.320 High 92(34.5) 41(44.6) 51(55.4) Employment Unemployed 140(52.4) 65(46.4) 75(53.6) 4.37 0.037 Employed 127(47.6) 43(33.9) 84(66.1) Happiness Unhappy 182(68.2) 90(49.5) 92(50.5) 19.23 0.000 Happy 85(31.8) 18(21.2) 67(78.8) Displacement Yes 131(49.1) 68(51.9) 63(48.1) 14.00 0.000 No 136(50.9) 40(29.4) 96(70.6) Income level USD<400 113(42.3) 57(50.4) 56(49.6) 8.12 0.004 USD>400 154(57.7) 51(33.1) 103(66.9) Factors associated with gender in bivariate analysis Cross tabulation showed that only unhealthy respondents (chi- square test (χ2 = 8.64, P = 0.004), who were aged 44 years and above (χ2 = 45.60, P < 0.001), being single (χ2 = 15.52, P < 0.001), big family of seven members and above (χ2 = 84.40, P < 0.001), chronic diseases (χ2 = 59.46, P < 0.001), smoking habits (χ2 = 26.72, P < 0.001), unemployed (χ2 = 4.37, P = 0.037), unhappy (χ2 = 19.23, P < 0.001), internally displaced (χ2 = 14.00, P < 0.001), and monthly income of USD<400 (χ2 = 8.12, P = 0.004) have significantly associated with female gender (table 1). Factors associated with female-headed households in multiple logistic regression In the multivariable logistic regressions, the head of household who had a history of smoking (OR = 7.201, 95% CI: 3.254 to15.936) belonged to a big family of 7 members and above (OR = 6.239, 95% CI: 2.938 to 13.250), and rated himself as unhappy (OR = 5.237, 95% CI: 2.140 to 12.818), had the highest odds ratios, respectively. At the same time, the head of household aged 44 years and above (OR = 3.518, 95% CI: 1.581 to 7.829), being single (unmarried, divorced, widow) (OR = 2.697, 95% CI: 1.230 to 5.914), had a monthly income of less than USD400 (OR = 2.333, 95% CI: 1.112 to 4.859) had the lowest odds ratios, respectively. The Hosmer and Lemeshow test indicated a good fit (P = 0.626). The total model was significant (p = < 0.001) and accounted for 63.1% of the variance (Nagelkerke R square = 0.631). Yahyaa BT, et al., Journal of Ideas in Health (2022); 5(4):794-799 797 Table 2. Factors associated with female-headed households in multiple logistic regression (n=267) Variables Categories B S.E. Wald P-value Exp(B) 95% CI Age 44 years and above 1.258 0.408 9.498 0.002 3.518 1.581-7.829 Less than 44 years Reference Marital status Single (divorced, widow) 0.992 0.401 6.135 0.013 2.697 1.230-5.914 Married Reference Family members Seven members and above 1.831 0.384 22.700 0.000 6.239 2.938-13.250 Less than 7 Reference Chronic disease Yes 1.171 0.413 8.057 0.005 3.226 1.437-7.241 No Reference Tobacco smoking Yes 1. 974 0.405 23.726 0.000 7.201 3.254-15.936 No Reference Happiness Unhappy 1.565 0.457 13.143 0.000 5.237 2.140-12.818 Happy Reference Monthly Income Less than USD400 0.847 0.378 5.019 0.025 2.333 1.112-4.859 USD400 and above Reference Discussion In this study, we tried to discuss the impact of family structure and sociodemographic factors on the head of household in Iraq. Among 267 surveyed households, 59.6% were male-headed households, and 40.4% were female-headed households. Our finding was incompatible with previous reports of 10.0% and 7.7% female-headed families in Iraq, which have been issued by the United Nation Office for Coordination and Humanitarian Affairs (OCHA), Inter-Agency Information and Analysis Unit (IAU), and MOPDC-CSO (Central Statistical Organization) in 2010, respectively [17,18]. Taking into account the difference in the sample and the region at the local level, the percentage of families headed by females varies greatly at the global level. The past five decades have witnessed a sharp increase and difference in proportions with a difference in societies worldwide [19]. Our study is largely corresponding to the global trend estimating that 33.0%-50.0% of families are headed by females [19,20]. A report from the world health organization [21] indicated that "as people age, they become more vulnerable to diseases and disability". Similarly, our finding showed that respondents aged 44 years and above were 3.518 times more female-headed than male- headed families. Many Iraqi families had lost their fathers due to repeated wars over the past four decades, which led to a cumulative number of families headed by females. Moreover, logistic regression showed 2.697 times of single (divorced, widow) female-headed families than their counterparts. In fact, recent official statistics showed high divorce rates in Iraqi society; however, most young widows are desirable for marriage, especially by relatives, due to the high percentages of consanguineous marriage, the conservative advantage in Iraqi society, and the keenness to take care of orphans [1]. Therefore, the chances of marriage might be less among widows and divorced women aged forty years and above, especially in large families. An Iraqi family's average number of members is six or seven [1]. Part of our results showed that families of 7 members and above were 6.239 times more female-headed families than male-headed families, which puts an additional burden on the woman's shoulders. Women-headed families suffer daily to provide food, water, education, and health care [22]. The higher the number of family members, the higher the needs and the more difficult administration. Many poor families were forced to allow their young children to work to earn an extra income for the family. Similarly, our study showed that 2.333 times female-headed families had family income less than USD400 than males. Unfortunately, children are vulnerable to different social problems that may include smoking, drinking alcohol, and even drug use [23]. These problems require radical solutions that are difficult for a family headed by a female. Despite that health status was not a predictor of gender in binary logistic regression, yet, in cross-tabulation, the chi-square test (χ2 = 8.64, P = 0.004) was statistically different in gender. Among 267 surveyed heads of households, 63.3% were healthy, and 36.7% were unhealthy. Similarly, a previous study conducted by Ali jadoo et al. [24] in outpatient clinics in Iraq, found that 46.4% of patients were unhealthy. Moreover, our results found that chronic disease was a predictor factor for gender. Chronic disease was 3.226 times more among female headed families than male-headed families. Previous studies have confirmed that the performance of the family and the management of family problems, such as social, emotional, and behavioral in children, are negatively affected by chronic parental disease [25,26,27,28]. The longer the duration of the disease and its intensity in the parents, the more negative effects on the children [26,27]. Girls are more vulnerable to weak development than boys in families led by chronically ill women [26,28,29]. Unfortunately, most smoking parents lack the real desire to cease smoking. Children are more likely to be exposed to environmental tobacco smoke (ETS) from parents. There is a big gap in prevalence of cigarette smoking between Iraqi males (35.0%) and females 2.0% in 2020 [12]. However, the finding of the current study found that the smoking odds ratio was 7.201 times among female headed families than among males. The desire for smoking arises in both sexes in early puberty due to the influence of peers. However, resorting to smoking in later stages has a direct relationship to the social and economic situation [30]. Several studies have indicated the existence of mental problems in families headed by one of the parents, with a significant increase in the prevalence of psychological problems and depression in families headed by females compared to males [31,32]. Yahyaa BT, et al., Journal of Ideas in Health (2022); 5(4):794-799 798 Conclusion More than one-third of surveyed families were low educated, young age and female-headed. History of smoking, families of 7 members and above, unhappy, aged 44 years and above, being single (unmarried, divorced, widow and had a monthly income of less than USD400 were the prominent variables significantly associated with female-headed family. Abbreviation OR: Odds Ratio; Cis: Confidence Intervals; NCDs: Non-Communicable Diseases; BMI: Body Mass Index; WHO: World Health Organization Declaration Acknowledgment None. Funding The authors received no financial support for their research, authorship, and/or publication of this article. Availability of data and materials Data will be available by emailing med.badeaa.thamir@uoanbar.edu.iq. Authors’ contributions All authors have contributed equally in designing, writing, analyzing, interpreting the study, and drafting and reviewing the article. All authors read and approved the final version of the manuscript. Ethics approval and consent to participate We conducted the research following the Declaration of Helsinki, and the protocol was approved by the Ethics Committee of the Scientific Issues and Postgraduate Studies Unit (PSU), College of Medicine, University of Anbar (Ref: SR/207 at 21-Jaunary -2019). Moreover, written informed consent obtained from each participant after explanation of the study objectives and the guarantee of secrecy. Consent for publication Not applicable Competing interest The authors declare that they have no competing interests. Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article unless otherwise stated. Author Details 1Department of Family and Community Medicine, Faculty of Medicine, Anbar University, Anbar, Iraq. 2Resident Medical Officer, Armadale hospital, WA, Australia. Article Info Received: 28 November 2022 Accepted: 27 December 2022 Published: 29 December 2022 References 1. Yahyaa BT, Al-Samarrai MAM, Ali Jadoo SA. Prevalence and perception of women about consanguineous marriage in AL Ramadi City. Indian Journal of Public Health Research and Development 2019;10(4): 567-573. 2. Ibrahim NM, Khalil NS, Tawfeeq RS. Assessment of malnutrition among the internally - displaced old age people in the Tikrit City, Iraq. Journal of Ideas in Health. 2019 May 27 [cited 2022 Jun. 18];2(1):65-9. Doi: 10.47108/jidhealth.vol2.iss1.15 3. Ali Jadoo SA, Sarhan YT, Al-Samarrai MAM, Al-Taha MA, AL- Any BN, Soofi AK, Yahyaa BT, Al-Rawi RA. The impact of displacement on the social, economic and health situation on a sample of internally displaced families in Anbar Province, Iraq. Journal of Ideas in Health. 2019 May 8 [cited 2022 Jun. 15];2(1):56-9. Doi: 10.47108/jidhealth.vol2.iss1.16 4. Al-Samarrai MAM, AL- Any BN, Al-Delaimy AK, Yahyaa BT, Ali Jadoo SA. Impact of internal displacement on psychosocial and health status of students residing in Anbar University, Iraq hostel. Journal of Ideas in Health. 2020 May 25 [cited 2022 Jun. 15];3(1):140-4. Doi: 10.47108/jidhealth.vol3.iss1.25 5. Gender In Focus. UNDP Iraq, available at: www.iq.undp.org/content/dam/iraq/docs/Gender_final.pd [Accessed 17 June 2022]. 6. Hussain AM, Lafta RK. Burden of non-communicable diseases in Iraq after the 2003 war. Saudi Med J. 2019 Jan;40(1):72-78. doi: 10.15537/smj.2019.1.23463. 7. World Health Organization. (2018). Non-communicable diseases country profiles 2018. World Health Organization. https://apps.who.int/iris/handle/10665/274512. License: CC BY- NC-SA 3.0 IGO, Iraq Profile, page109, Available online: file:///C:/Users/drsaa/Downloads/9789241514620-eng.pdf [Accessed on 18 June 2022]. 8. World health organization (who), non-communicable diseases: risk factors. available online: https://www.who.int/data/gho/data/themes/topics/topic- details/gho/ncd-risk-factors. [accessed on 18 June 2022]. 9. Ministry of Health of Iraq Chronic Non-Communicable Diseases Risk Factors Survey in Iraq, 2006. Available online: http://www.who.int/chp/steps/IraqSTEPSReport2006.pdf [accessed on 18 June 2022]. 10. Pengpid S, Peltzer K. Overweight and Obesity among Adults in Iraq: Prevalence and Correlates from a National Survey in 2015. Int J Environ Res Public Health. 2021 Apr 15;18(8):4198. doi: 10.3390/ijerph18084198. 11. NCD Risk Factor Collaboration (NCD-RisC) Trends in adult body-mass index in 200 countries from 1975 to 2014: A pooled analysis of 1698 population-based measurement studies with 19.2 million participants. Lancet. 2016; 387:1377–1396. doi: 10.1016/S0140-6736(16)30054-X. 12. The World Bank, Prevalence of current tobacco use (% of adults) – Iraq. Available from: https://data.worldbank.org/indicator/SH.PRV.SMOK?locations=I Q [Accessed on 18 June 2022]. 13. Hussain Z, Sullivan R. Tobacco in post-conflict settings: the case of Iraq. Ecancermedicalscience. 2017 Apr 28; 11:735. doi: 10.3332/ecancer.2017.735. PMID: 28596801; PMCID: PMC5440183. Yahyaa BT, et al., Journal of Ideas in Health (2022); 5(4):794-799 799 14. Raosoft, sample size calculator. Available from: http://www.raosoft.com/samplesize.html?nosurvey [Accessed on 06 June 2021]. 15. YOURDICTIONARY, Head-of-household definition. Available from: https://www.yourdictionary.com/head-of-household [Accessed on 7 June 2022]. 16. Center for Disease Control and Prevention (CDC), National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP), About Chronic Diseases. Available from: https://www.cdc.gov/chronicdisease/about/index.htm [accessed on 7 June 2022]. 17. United Nations Office for Coordination and Humanitarian Affairs (OCHA), Inter-Agency Information and Analysis Unit (IAU), Iraqi Women: Figures & Facts. Available from: file:///C:/Users/drsaa/Downloads/9FF462D0A9FBFA0749257573 0052330C-Full_Report.pdf [Accessed on 22 June 2022] 18. MOPDC-CSO (Central Statistical Organization), 2010. Iraq the results of Buildings, Dwellings and Establishment Census and Households Listing within the Project of Population and Housing Census (PHC 2010) Iraq. 19. Lichter DT, McLaughlin DK, Ribar DC. Welfare and the Rise in Female Headed Families. American Journal of Sociology1997; 103(1): 112-143. DOI: 10.1086/231173. 20. Working and living arrangement of single mother households and social support in Mexico City. Summer research report. Austin, TX: Center for Latin America social policy, University of Texas at Austin; 2006. 21. World Health Organization, Europe, Risk factors of ill health among older people. Available from: https://www.who.int/europe/news-room/fact-sheets/item/risk- factors-of-ill-health-among-older-people [accessed on 8 June 2022]. 22. ICRC (International Committee of the Red Crescent), Gorilla's Guides, 2011. Iraq: Women struggle to make ends meet. Available from: http://www.icrc.org/eng/assets/files/2011/iraq-update-01- 02-2011-icrc-eng.pdf. [Accessed on 22 June 2022]. 23. Shlash A, Abdul Hameed S, Sweadan A. 1998. Impact of poverty on women-headed families: A field study. A study carried out by The Continuous Human Developmental Net in Iraq, with the cooperation of the ESCWA and the UNDP. 24. Ali Jadoo SA, Yaseen SM, Al-Samarrai MAM, Mahmood AS. Patient satisfaction in outpatient medical care: the case of Iraq. Journal of Ideas in Health. 2020 Aug. 26 [cited 2022 Jun. 8];3(2):176-82. Doi: 10.47108/jidhealth.vol3.iss2.44. 25. Kaasbøll J, Skokauskas N, Lydersen S, Sund AM. Parental Chronic Illness, Internalizing Problems in Young Adulthood and the Mediating Role of Adolescent Attachment to Parents: A Prospective Cohort Study. Front Psychiatry. 2021 Dec 31; 12:807563. doi: 10.3389/fpsyt.2021.807563. 26. Sieh DS, Meijer AM, Oort FJ, Visser-Meily JMA, Leij DAV. Problem behavior in children of chronically Ill parents: a meta- analysis. Clin Child Fam Psychol Rev. (2010) 13:384–97. doi: 10.1007/s10567-010-0074-z. 27. Chen CY-C. Effects of parental chronic illness on children's psychosocial and educational functioning: a literature review. Contemp School Psychol. (2017) 21:166–76. doi: 10.1007/s40688-016-0109-7. 28. Pakenham KI, Cox S. The effects of parental illness and other ill family members on the adjustment of children. Ann Behav Med. (2014) 48:424–37. doi: 10.1007/s12160-014-9622-y. 29. Bell MF, Bayliss DM, Glauert R, Ohan JL. Developmental vulnerabilities in children of chronically ill parents: a population- based linked data study. J Epidemiol Commun Health. (2019) 73:393. doi: 10.1136/jech-2018-210992 30. Amato PR, Kane JB, James S. Reconsidering the “good divorce”. Fam Relat. 2011;60(5):511–24. 31. Wade TJ, Veldhuizen S, Cairney J. Prevalence of psychiatric disorder in lone fathers and mothers: examining the intersection of gender and family structure on mental health. Can J Psychiatry. 2011 Sep;56(9):567-73. doi: 10.1177/070674371105600908. 32. Barrett AE, Turner RJ. Family structure and mental health: the mediating effects of socioeconomic status, family process, and social stress. J Health Soc Behav. 2005 Jun;46(2):156-69. doi: 10.1177/002214650504600203.