Risk Factors of Depression among Women Living in Rural Areas of Iranshahr, Iran
Authors
-
Azam Rajabi
Department of Environmental Health, School of Public Health, Kerman University of Medical Sciences, Kerman, Iran.
https://orcid.org/0000-0003-1815-8810
-
Fateme Salari
Department of Environmental Health, School of Public Health, Kerman University of Medical Sciences, Kerman, Iran.
https://orcid.org/0000-0002-4079-7056
-
Majid Aghasi
Department of Environmental Health, School of Public Health, Kerman University of Medical Sciences, Kerman, Iran.
https://orcid.org/0000-0002-6530-1723
DOI:
https://doi.org/10.22100/ijhs.v8i1.898Keywords:
Rural women, Risk factors, Depression, IranshahrAbstract
Background: Depression is one of the most common mental problems which is not limited to a certain location or time, afflicting various social and age groups. This study aimed to examine factors affecting depression among women in rural areas.
Methods: This study was conducted on an Iranian population residing in rural areas of Iranshahr. The research population comprised all women in rural areas of Iranshahr. Using systematic random sampling, about 6% of the 666 covered villages were selected. Using Goldberg’s standard questionnaire, the data on blood glucose, physical activity, height, weight, and blood pressure were collected using interviews and measurement and analyzed via correlation test and chi-squared test.
Results: In this study, a correlation existed between depression factors and blood pressure, physical activity, blood glucose, economic and family problems of female householders (Pvalue<0.05).
Conclusions: One of the best solutions for preventing depression in women in rural areas is strengthening their economic status. By predicting depression, the emergence of many physical diseases and disorders such as hypertension and high blood glucose can be prevented beyond expectations.
Keywords: Rural women; Risk factors; Depression; Iranshahr
References
1. Murphy GA, Asiki G, Ekoru K, Nsubuga RN, Nakiyingi-Miiro J, Young EH, et al. Sociodemographic distribution of non-communicable disease risk factors in rural
Uganda: a cross-sectional study. International journal of epidemiology. 2013;42(6):1740-53. doi: 10.1093/ije/dyt184.avaiable online: https://www.ncbi.nlm.nih.gov/pubmed/24191304.accessed on: 12mars2019.
2. Popkin BM. The nutrition transition and its health implications in lower-income countries. Public health nutrition. 1998;1(1):5-21. DOI: https://doi.org/10.1079/PHN19980004. Available online: https://www.cambridge.org/core/journals/public-health-nutrition/article/nutrition.accessed on:26mars2019.
3. Kinra S, Bowen LJ, Lyngdoh T, Prabhakaran D, Reddy KS, Ramakrishnan L, et al. Sociodemographic patterning of non-communicable disease risk factors in rural India: a cross sectional study. Bmj. 2010;341:c4974.73-130 doi: https://doi.org/10.1136/bmj.c4974. Available online:https://openknowledge.worldbank.org/bitstream/handle/10986https://www.bmj.com/content/341/bmj.c4974.accessed on:28mars2019.
4. Adeyi O SO, Robles S. . Public policy & the challenge of chronic noncommunicable diseases: The World Bank. 2007. DOI: 10.1596/978-0-8213-7044-5.available online: https://openknowledge.worldbank.org/bitstream/handle/10986.accessed on:9mars2019.
5. Phaswana-Mafuya N, Peltzer K, Chirinda W, Musekiwa A, Kose Z. Sociodemographic predictors of multiple non-communicable disease risk factors among older adults in South Africa. Global health action. 2013;6(1):Doi:20680.13.Available online: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3776324.Accessed on: sebtember2019.
6. Amoran O, Lawoyin T, Lasebikan V. Prevalence of depression among adults in Oyo State, Nigeria: a comparative study of rural and urban communities. The Australian journal of rural health (Aust J health). 2007;15(3):211-5. DOI: 10.1111/j.1440-1584. Available online: https://onlinelibrary.wiley.com/doi/full/10.1111/j.1440-1584.2006.00794.x. Accessed on 7 September 2019.
7. Kaplan HI, Sadock BJ. Kaplan and Sadock’s synopsis of psychiatry: Behavioral sciences/clinical psychiatry: Williams & Wilkins Co; Indian Journal Psychiatry (Indian J Psychiatry )2009;51(4):331. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2802389/ 7 September 2019.
8. Douki S ZSB, Nacef F, Halbreich U. Women's mental health in the
Muslim world: cultural, religious, and social issues. Journal of Affective Disorders
(J Affect Dis). 2007;102:117-89. DOI: 10.1016/j.jad.2006.09.027 . 5 Agust 2019.
9. Meng X, D'Arcy C. The projected effect of increasing physical activity on reducing the prevalence of common mental disorders among canadian men and women: a national population-based community study. Prev Med 2013;56:59–63. available online: 10.1016/j.ypmed.2012.11.014.Accessed on:11 septamber2019.
10. Meyrueix L, Durham G, Miller J, Smalley KB, Warren JC. Association between Depression and Aggression in Rural Women. Journal of Health Disparities Research and Practice (J Health Dispar Res Pract). 2015; 8(4):136-44. Available online: https://www.ncbi.nlm.nih.gov/pubmed/26855847. Accessed on: 8 september 2019.
11. Anand T, Kishore J, Isaakidis P, Gupte HA, Kaur G, Kumari S, et al. Integrating screening for non-communicable diseases and their risk factors in routine tuberculosis care in Delhi, India: A mixed-methods study. PloS one. 2018;13(8):Available online: e0202256.Accessed on: 3desamber2019.
12. Olawuyi AT, Adeoye IA. The prevalence and associated factors of non-communicable disease risk factors among civil servants in Ibadan, Nigeria. PloS one. 2018;13(9): Available online: e0203587. Accessed on: 7may2019.
13. Ivers LC, Cullen KA. Food insecurity: special considerations for wome. The American journal of clinical nutrition (Am J Clin Nutr) 2011;94:1740. DOI: 10.3945/ajcn.111.012617.Available online: https://www.ncbi.nlm.nih.gov/pubmed/22089447. Accessed on: 3 September 2019
14. Rogers PP, Jalal KF, Boyd JA. An introduction to sustainable development: Routledge; 2007.Available online: https://www.amazon.com/Introduction-Sustainable-Development-Peter-Rogers/dp/18. Accessed on:9 may2019.
15. Leipert BD, George JA. Determinants of rural women's health: A qualitative study in southwest Ontario. The Journal of Rural Health. 2008;24(2): doi: 10.1111/j.1748-0361.Avalable on line: https://www.ncbi.nlm.nih.gov/pubmed/18397458. Accessed on:20julay2019.
16. Winters CA, Cudney S, Sullivan T. Expressions of depression in rural women with chronic illness. Rural Remote Health. 2010; 10(4):1-14.available online:
file:///C:/Users/ASUS/AppData/Local/Temp/article_print_1533.pdf.accessed on: 5julay2019.
17. Douki S ZSB, Nacef F, Halbreich U. Women's mental health in the
Muslim world: cultural, religious, and social issues. Journal of Affective Disorders
(J Affect Dis). 2007;102:117-89. DOI: 10.1016/j.jad.2006.09.027 . available online: https://www.ncbi.nlm.nih.gov/pubmed/17291594. Accessed on:5 Agust 2019
18. Hernandez LM, Blazer DG. Genes, Behavior, and the Social Environment: Moving Beyond the Nature/ Nurture Debate. In: Hernandez LM, Blazer DG, editors. Genes, Behavior, and the Social Environment: Moving Beyond the Nature/Nurture Debate. The National Academies Collection: Reports funded by National Institutes of Health. Washington (DC)2006. DOI: onlinehttps://doi.org/10.17226/11693.available online: https://www.ncbi.nlm.nih.gov/pubmed/20669442.accessed on: 15 october 2019.
19. Fengsu H CC, Marsha N, Eric DC, Peiyuan Q. Depression, social support and associated factors among women living in rural China: a cross-sectional study. BMC Women's Health 2015;15:28.DOI: 10.1186/s12905-015-0180-7.available online: https://bmcwomenshealth.biomedcentral.com/track/pdf/10.1186/s12905-015-0180-7.accessd on 27mars2019.
20. Huddleston-Casas C, Simmons L A. Food insecurity and maternal depression in rural, low-income families: a longitudinal investigation. Public Health Nutrition (Pub health Nut) 2009;12:1133-40.DOI:10.1017/S1368980008003650.Available on line: https://www.ncbi.nlm.nih.gov/pubmed/18789167. Accessed on: 19 Agust 2019.
21. yun Shen1, Deepthi S. Varma2, Yi Zheng2, Jenny Boc3and Hui H. Age at menarche and depression: resultsfrom the NHANES 2005–2016. peer journal (Peer J). 2019;13;7. doi: 10.7717/peerj.7150.Available online: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6571127.Accessed on: 12october2019.
22. Bjellandi KS, Mykletun A, Dahl AA, Tell GS, Tambs K. Does a higher educational level protect against anxiety and depression? The HUNT study. Social Science & Medicine – Journal (Soc Sci & Med J) 2008;66:1334-45. DOI: 10.1016/j.socscimed.2007.12.019.available online: https://www.ncbi.nlm.nih.gov/pubmed/18234406.Accessed on: 14 October 2019.
23. Dolja-Gore X, Loxton DJ, D’Este CA, Byles JE. Mental health service use: is there a difference between rural and non-rural women in service uptake? Australian Journal of Rural Health (Aust J Rural Health). 2014; 22(3):92-100. DOI: 10.1111/ajr.12109. Available online: https://www.ncbi.nlm.nih.gov/pubmed/25039842. Accessed on: 10 October 2019.
24. Katon W, Ciechanowski P. Impact of major depression on chronic medical illness.Journal ofpsychosomatic research. 2002.52. https://doi.org/10.1016/S0022-3999(02)00313-6. accessed on 4desamber2019.
25. Reynolds III CF, Dew MA, Pollock BG, Mulsant BH, Frank E, Miller MD, et al. Maintenance treatment of major depression in old age. New England Journal of Medicine. 2006; 354(11):1130-8. DOI: 10.1056/NEJMoa052619.
avalable online: https://www.ncbi.nlm.nih.gov/pubmed/16540613.accessed on 2october2019.
26. Rubio-Guerra AF, Rodriguez-Lopez L, Vargas-Ayala G, Huerta-Ramirez S, Serna DC, Lozano-Nuevo JJ. Depression increases the risk for uncontrolled hypertension. Experimental & ClinicalCardiology(ExpClinCardiol).2013;18(1):10. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3716493/ 20 October 2019.
27. Bădescu S, Tătaru C, Kobylinska L, Georgescu E, Zahiu D, Zăgrean A, et al. The association between diabetes mellitus and depression. Journal of medicine and life. 2016;9(2):120.avalable online: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4863499.accessed on 6october2019.
28. Gangwisch JE, Hale L, Garcia L, Malaspina D, Opler MG, Payne ME, et al. High glycemic index diet as a risk factor for depression: analyses from the
Women’s Health Initiative. TAmericanjournalofclinicalnutrition.2015;102(2):454-63.doi:10.3945/ajcn.114.103846.availableonline:https://academic.oup.com/ajcn/article/102/2/454/4564524.accessed on:5october2019.
29. De Wit LM, Van Straten A, Van Herten M, Penninx BW, Cuijpers P. Depression and body mass index, a u-shaped association. BMC public health. 2009;9(1):14.Available online:https://bmcpublichealth.biomedcentral.com/articles/10.1186/1471-2458-9-14.Accessed on: 10 July 2019.
30. Dinas PC, Koutedakis Y, Flouris AD. Effects of exercise and physical activity on depression. Irish journal of medical science. 2011;180(2):319-25. doi: 10.1007/s11845-010-0633-9. https://link.springer.com/article/10.1007%2Fs11845-010-0633-9.accessed on 8april2019.
31. Da Silva MA S-MA, Brunner EJ, Kaffashian S, Shipley MJ, Kivimäki M, Nabi H. Bidirectional association between physical activity and symptoms of anxiety and depression: the Whitehall II study. European journal of epidemiology (Eur J Epidemiol) 2012;27:537-46. DOI: 10.1007/s10654-012-9692-8. Available online: https://www.ncbi.nlm.nih.gov/pubmed/22623145. Accessed on: 5 July 2019.
32.Population and Housing Census Center, Iran Statistics Center Available online: https://www.ncbi.nlm.nih.gov/pubmed/8543964.accessed on:15 sebtamber2019.
33. Peduzzi P, Concato J, Feinstein AR, Holford TR. Importance of events per independent variable in proportional hazards regression analysis. II. Accuracy and precision of regression estimates. 48(12):1503-10 ( 1995 ) . DOI:10.1016/0895-4356(95)00048-8.
https://www.ncbi.nlm.nih.gov/pubmed/8543964.
34. Ramanakumar V Agnihotram P, World Health Organization (IARC), Lyon, France. Reviewing disease burden among rural Indian women. Published Quar ter lyMangalore, South India. 2004;3(2):5.Available online; http://cogprints.org/3796/1/2004-2-1.pdf. Accessed on: 5 July 2019.
35. Whitworth JA. 2003 World Health Organization (WHO)/International Society of Hypertension (ISH) statement on management of hypertension. Journal of Hypertension (J
Hypertens).2003;21(11):1983-92.Available online: https://www.ncbi.nlm.nih.gov/pubmed/14597836. Accessed on;1 September 2019
36. World Health Organization. The WHO STEPwise Approach to Chronic Disease Risk Factor Surveillance (STEPS), World Health Organization, Geneva, Switzerland; 2005. Available online: https://apps.who.int/iris/handle/10665/43376.accessed on: 5 October 2019
37. Chobanian AV, Bakris GL, Black HR, Cushman WC, Green LA, Izzo JL Jr, Jones DW, Materson BJ, Oparil S, Wright JT Jr, Roccella EJ. Seventh report of the Joint National Committee of prevention, detection, evaluation, and treatment of high blood pressure. U.S. Department of Health and Human Services; 2003;19: 2560-72. DOI:10.1001/jama.289.19.2560.
Available online: https://www.ncbi.nlm.nih.gov/pubmed/12748199. Accessed on:5october 2019.
38. Allahdadi F. The Contribution of Women in Rural Development in Iran. Journal of American Science (J American Sci). 2011;7(1):703-7.available online: .
https://www.semanticscholar.org/paper/The-Contribution-of-Women-in-Rural-Development-in-Allahdadi/c4c6b4d0a1abfdcdd56584354b68b05abfcb45a8. Accessed on:7 September 2019
39. Minicuci N BiritwumRB, Mensah G, Yawson AE, Naidoo N, Chatterji S, et al. Sociodemographic and socioeconomic patterns of chronic non-communicable disease among the older adult population in Ghana. Global health action 2014;7:21292.doi.org/10.3402/gha.v7.212-
1Available online: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3991840/pdf/GHA-7-21292.pdf. Accessed on: 4desamber2019.
40 . McLaughlin D, Hockey R, Mishra G. Heart disease in women in remote Australia: urban-rural differences after adjusting for lifestyle behaviours and socio-demographic factors. Australian and New Zealand J of Public Health (Aust N Z J Public Health). 2013; 37(1): 90.
Available online:https://www.ncbi.nlm.nih.gov/pubmed/23379812.Accessed on: 5 July 2019.
41. Hawkes C. Globalization, diets and noncommunicable diseases. Geneva: World Health Organization.2002.Availableonline: https://apps.who.int/iris/bitstream/handle/10665/42609/9241590416.pdf;jsessionid=3A2
42. Yach D ،Bettcher .D. Globalisation of tobacco industry influence and new global responses. Tobacco control 2000;9:206-16. DOI:10.1136/tc.9.2.206.available online: https://www.ncbi.nlm.nih.gov/pubmed/10841858.Accessed on:6october2019.
43 . Koloski NA, Smith N, Pachana NA, Dobson A. Performance of the Goldberg Anxiety and Depression Scale in older women. Age Ageing. 2008;37(4):464-7. doi: 10.1093/ageing/afn091. available online: https://www.ncbi.nlm.nih.gov/pubmed/18460498.Accessed on;21october 2019.
44. Aminpoor H, Afshinfar J, Mostafai A, Ostovar S. Validation of Goldberg's Depression Scale in academic and non-academic peoples. Annals of Biological Research. 2012; 3 (9): 4564-457Doi:. 4564-4573.available online: https://pdfs.semanticscholar.org/3025/295a4ff5a6bc5314ed36363a6b5b35098c2f.pdf.Accessed on:3october2019.
45. Rydmark I, Wahlberg K, Ghatan PH, Model S, Nygren A, Ingvar M, Asberg M, Heilig M. Neuroendocrine, cognitive and structural imaging characteristics of women on longterm sickleave with job stress–induced depression. Biological psychiatry(Biol Psychiatry). 2006;60(8):867-73. DOI: 10.1016/j.Available online: biopsych.2006.04.029. Accessed on:5 mars 2019.
46.Papadopoulos FC, Petridou E, Argyropoulou S, Kontaxakis V, Dessypris N, Anastasiou A, Katsiardani KP, Trichopoulos D, Lyketsos C. Prevalence and correlates of depression in late life: a population based study from a rural Greek town. International Journal of Geriatric Psychiatry (Int J Geriatric Psy: A J Psy late life and allied Sci) 2005;20:350-7. DOI: 10.1002/gps.1288 . Available online: https://www.ncbi.nlm.nih.gov/pubmed/15799076. Accessed on: 10 mars2019.
47. Zhang J, Ye M, Huang H, Li L, Yang A. Depression of chronic medical inpatients in China. Archives of Psychiatric Nursing (Arch Psychiatr Nurse) 2008; 22(1): 39-49. DOI:10.1016/j.apnu.2007.04.007.Available online: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5886187/ Accessed on:18 september 2018.
48. Wray NR, Ripke S, Mattheisen M, Trzaskowski M, Byrne EM, et al. 2018. Genome-wide associationanalyses identify 44 risk variants and refine the genetic architecture of major depression.Nat. Genet.50:668–81. doi: 10.1038/s41588-018-0090-3. https://www.ncbi.nlm.nih.gov/pubmed/29700475.accessed on 4may 2019.
49. Wen Z, Bi-Rong D, Chang-Quan H, Zhen-Chan L, Yuan Z, Hong-Mei W, Yan-Ling Z, Hui W, Ping H. Depression and hypertension among Chinese nonagenarians and centenarians. International Journal of Geriatric Psychiatry (Int J Geriatr Psychiatry). 2010; 25(6): 554-61. DOI: 10.1002/gps.2364. https://www.ncbi.nlm.nih.gov/pubmed/20474060.Available online;Accessed on:20 September 2019.
50. Bauldry S. Variation in the protective effect of higher education against depression. Society and mental health (Soc Ment Health). 2015;5(2):145-61. DOI: 10.1177/2156869314564399.Available on line :https://www.ncbi.nlm.nih.gov/pubmed/27840772.Accessed on: 7 mars 2019.
51 . Roberts RE KG, Shema SJ, Strawbridge WJ. Are the obese at greater risk for depression? American Journal of Epidemiology (Amer J Epid) 2000;152:163-70. DOI: 10.1093/aje/152.2.163.Accessed on: 12 september 2019.
52. Lacoursiere DY, Baksh L, Bloebaum L, Varner MW. Maternal body mass index and self-reported postpartum depressive symptoms. Marten Child Health Journal .2006;10(4):385-390. DOI: 10.1007/s10995-006-0075-1 . 12.Available on line: https://www.google.com/search?client=firefox-b-d&q=Lacoursiere+DY%2C+Baksh+L%2.Accessed on: september 2019.
53. Licht CM dGeus E, Seldenrijk A, van Hout HP, Zitman FG, van Dyck R, et al. . Depression is associated with decreased blood pressure, but antidepressant use increases the risk for hypertension. Hypertension (Dallas, Tex) 1979;53:631-8. doi: 10.1161/HYPERTENSIONAHA.108.126698.Available online: https://www.ncbi.nlm.nih.gov/pubmed/19237679.accessed on: 9mars2019.
54. Song MR, Lee YS, Baek JD, Miller M. Physical activity status in adults with depression in the National Health and Nutrition Examination Survey, 2006 Public health nursing (Boston, Mass). 2012;29(3):208-17. doi: 10.1111/j.1525-1446.2011.00986.x. Available online:https://www.ncbi.nlm.nih.gov/pubmed/22512422.accessed on:12mars2019.
55. Samavat T, Hojatzade A, Nadery Z. Guide the diagnosis ,evaluation and treatment of hypertension for doctors. Tehran: Sadra Publications; 2002. Available online. https://www.google.com/search. Accessed on: 14 septamber 2019.[In Persian].
56. WongJJ. Prevalence and correlates of depressive symptoms in the elderly of rural communities in southern Taiwan. J Nur Res : JNR 2001;9:1-12. DOI: 10.1097/01.JNR.0000347558.69317.66. available online: https://insights.ovid.com/pubmed?pmid=12688568. Accessed on:9mars2019.
57. Sander JB, McCarty CA. Youth depression in the family context: familial risk factors and models of treatment. Clinical child and family psychology review. 2005;8(3):203-219. doi: 10.1007/s10567-005-6666-3.availableovline: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1352328.accessed on: 3mars2019
Uganda: a cross-sectional study. International journal of epidemiology. 2013;42(6):1740-53. doi: 10.1093/ije/dyt184.avaiable online: https://www.ncbi.nlm.nih.gov/pubmed/24191304.accessed on: 12mars2019.
2. Popkin BM. The nutrition transition and its health implications in lower-income countries. Public health nutrition. 1998;1(1):5-21. DOI: https://doi.org/10.1079/PHN19980004. Available online: https://www.cambridge.org/core/journals/public-health-nutrition/article/nutrition.accessed on:26mars2019.
3. Kinra S, Bowen LJ, Lyngdoh T, Prabhakaran D, Reddy KS, Ramakrishnan L, et al. Sociodemographic patterning of non-communicable disease risk factors in rural India: a cross sectional study. Bmj. 2010;341:c4974.73-130 doi: https://doi.org/10.1136/bmj.c4974. Available online:https://openknowledge.worldbank.org/bitstream/handle/10986https://www.bmj.com/content/341/bmj.c4974.accessed on:28mars2019.
4. Adeyi O SO, Robles S. . Public policy & the challenge of chronic noncommunicable diseases: The World Bank. 2007. DOI: 10.1596/978-0-8213-7044-5.available online: https://openknowledge.worldbank.org/bitstream/handle/10986.accessed on:9mars2019.
5. Phaswana-Mafuya N, Peltzer K, Chirinda W, Musekiwa A, Kose Z. Sociodemographic predictors of multiple non-communicable disease risk factors among older adults in South Africa. Global health action. 2013;6(1):Doi:20680.13.Available online: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3776324.Accessed on: sebtember2019.
6. Amoran O, Lawoyin T, Lasebikan V. Prevalence of depression among adults in Oyo State, Nigeria: a comparative study of rural and urban communities. The Australian journal of rural health (Aust J health). 2007;15(3):211-5. DOI: 10.1111/j.1440-1584. Available online: https://onlinelibrary.wiley.com/doi/full/10.1111/j.1440-1584.2006.00794.x. Accessed on 7 September 2019.
7. Kaplan HI, Sadock BJ. Kaplan and Sadock’s synopsis of psychiatry: Behavioral sciences/clinical psychiatry: Williams & Wilkins Co; Indian Journal Psychiatry (Indian J Psychiatry )2009;51(4):331. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2802389/ 7 September 2019.
8. Douki S ZSB, Nacef F, Halbreich U. Women's mental health in the
Muslim world: cultural, religious, and social issues. Journal of Affective Disorders
(J Affect Dis). 2007;102:117-89. DOI: 10.1016/j.jad.2006.09.027 . 5 Agust 2019.
9. Meng X, D'Arcy C. The projected effect of increasing physical activity on reducing the prevalence of common mental disorders among canadian men and women: a national population-based community study. Prev Med 2013;56:59–63. available online: 10.1016/j.ypmed.2012.11.014.Accessed on:11 septamber2019.
10. Meyrueix L, Durham G, Miller J, Smalley KB, Warren JC. Association between Depression and Aggression in Rural Women. Journal of Health Disparities Research and Practice (J Health Dispar Res Pract). 2015; 8(4):136-44. Available online: https://www.ncbi.nlm.nih.gov/pubmed/26855847. Accessed on: 8 september 2019.
11. Anand T, Kishore J, Isaakidis P, Gupte HA, Kaur G, Kumari S, et al. Integrating screening for non-communicable diseases and their risk factors in routine tuberculosis care in Delhi, India: A mixed-methods study. PloS one. 2018;13(8):Available online: e0202256.Accessed on: 3desamber2019.
12. Olawuyi AT, Adeoye IA. The prevalence and associated factors of non-communicable disease risk factors among civil servants in Ibadan, Nigeria. PloS one. 2018;13(9): Available online: e0203587. Accessed on: 7may2019.
13. Ivers LC, Cullen KA. Food insecurity: special considerations for wome. The American journal of clinical nutrition (Am J Clin Nutr) 2011;94:1740. DOI: 10.3945/ajcn.111.012617.Available online: https://www.ncbi.nlm.nih.gov/pubmed/22089447. Accessed on: 3 September 2019
14. Rogers PP, Jalal KF, Boyd JA. An introduction to sustainable development: Routledge; 2007.Available online: https://www.amazon.com/Introduction-Sustainable-Development-Peter-Rogers/dp/18. Accessed on:9 may2019.
15. Leipert BD, George JA. Determinants of rural women's health: A qualitative study in southwest Ontario. The Journal of Rural Health. 2008;24(2): doi: 10.1111/j.1748-0361.Avalable on line: https://www.ncbi.nlm.nih.gov/pubmed/18397458. Accessed on:20julay2019.
16. Winters CA, Cudney S, Sullivan T. Expressions of depression in rural women with chronic illness. Rural Remote Health. 2010; 10(4):1-14.available online:
file:///C:/Users/ASUS/AppData/Local/Temp/article_print_1533.pdf.accessed on: 5julay2019.
17. Douki S ZSB, Nacef F, Halbreich U. Women's mental health in the
Muslim world: cultural, religious, and social issues. Journal of Affective Disorders
(J Affect Dis). 2007;102:117-89. DOI: 10.1016/j.jad.2006.09.027 . available online: https://www.ncbi.nlm.nih.gov/pubmed/17291594. Accessed on:5 Agust 2019
18. Hernandez LM, Blazer DG. Genes, Behavior, and the Social Environment: Moving Beyond the Nature/ Nurture Debate. In: Hernandez LM, Blazer DG, editors. Genes, Behavior, and the Social Environment: Moving Beyond the Nature/Nurture Debate. The National Academies Collection: Reports funded by National Institutes of Health. Washington (DC)2006. DOI: onlinehttps://doi.org/10.17226/11693.available online: https://www.ncbi.nlm.nih.gov/pubmed/20669442.accessed on: 15 october 2019.
19. Fengsu H CC, Marsha N, Eric DC, Peiyuan Q. Depression, social support and associated factors among women living in rural China: a cross-sectional study. BMC Women's Health 2015;15:28.DOI: 10.1186/s12905-015-0180-7.available online: https://bmcwomenshealth.biomedcentral.com/track/pdf/10.1186/s12905-015-0180-7.accessd on 27mars2019.
20. Huddleston-Casas C, Simmons L A. Food insecurity and maternal depression in rural, low-income families: a longitudinal investigation. Public Health Nutrition (Pub health Nut) 2009;12:1133-40.DOI:10.1017/S1368980008003650.Available on line: https://www.ncbi.nlm.nih.gov/pubmed/18789167. Accessed on: 19 Agust 2019.
21. yun Shen1, Deepthi S. Varma2, Yi Zheng2, Jenny Boc3and Hui H. Age at menarche and depression: resultsfrom the NHANES 2005–2016. peer journal (Peer J). 2019;13;7. doi: 10.7717/peerj.7150.Available online: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6571127.Accessed on: 12october2019.
22. Bjellandi KS, Mykletun A, Dahl AA, Tell GS, Tambs K. Does a higher educational level protect against anxiety and depression? The HUNT study. Social Science & Medicine – Journal (Soc Sci & Med J) 2008;66:1334-45. DOI: 10.1016/j.socscimed.2007.12.019.available online: https://www.ncbi.nlm.nih.gov/pubmed/18234406.Accessed on: 14 October 2019.
23. Dolja-Gore X, Loxton DJ, D’Este CA, Byles JE. Mental health service use: is there a difference between rural and non-rural women in service uptake? Australian Journal of Rural Health (Aust J Rural Health). 2014; 22(3):92-100. DOI: 10.1111/ajr.12109. Available online: https://www.ncbi.nlm.nih.gov/pubmed/25039842. Accessed on: 10 October 2019.
24. Katon W, Ciechanowski P. Impact of major depression on chronic medical illness.Journal ofpsychosomatic research. 2002.52. https://doi.org/10.1016/S0022-3999(02)00313-6. accessed on 4desamber2019.
25. Reynolds III CF, Dew MA, Pollock BG, Mulsant BH, Frank E, Miller MD, et al. Maintenance treatment of major depression in old age. New England Journal of Medicine. 2006; 354(11):1130-8. DOI: 10.1056/NEJMoa052619.
avalable online: https://www.ncbi.nlm.nih.gov/pubmed/16540613.accessed on 2october2019.
26. Rubio-Guerra AF, Rodriguez-Lopez L, Vargas-Ayala G, Huerta-Ramirez S, Serna DC, Lozano-Nuevo JJ. Depression increases the risk for uncontrolled hypertension. Experimental & ClinicalCardiology(ExpClinCardiol).2013;18(1):10. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3716493/ 20 October 2019.
27. Bădescu S, Tătaru C, Kobylinska L, Georgescu E, Zahiu D, Zăgrean A, et al. The association between diabetes mellitus and depression. Journal of medicine and life. 2016;9(2):120.avalable online: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4863499.accessed on 6october2019.
28. Gangwisch JE, Hale L, Garcia L, Malaspina D, Opler MG, Payne ME, et al. High glycemic index diet as a risk factor for depression: analyses from the
Women’s Health Initiative. TAmericanjournalofclinicalnutrition.2015;102(2):454-63.doi:10.3945/ajcn.114.103846.availableonline:https://academic.oup.com/ajcn/article/102/2/454/4564524.accessed on:5october2019.
29. De Wit LM, Van Straten A, Van Herten M, Penninx BW, Cuijpers P. Depression and body mass index, a u-shaped association. BMC public health. 2009;9(1):14.Available online:https://bmcpublichealth.biomedcentral.com/articles/10.1186/1471-2458-9-14.Accessed on: 10 July 2019.
30. Dinas PC, Koutedakis Y, Flouris AD. Effects of exercise and physical activity on depression. Irish journal of medical science. 2011;180(2):319-25. doi: 10.1007/s11845-010-0633-9. https://link.springer.com/article/10.1007%2Fs11845-010-0633-9.accessed on 8april2019.
31. Da Silva MA S-MA, Brunner EJ, Kaffashian S, Shipley MJ, Kivimäki M, Nabi H. Bidirectional association between physical activity and symptoms of anxiety and depression: the Whitehall II study. European journal of epidemiology (Eur J Epidemiol) 2012;27:537-46. DOI: 10.1007/s10654-012-9692-8. Available online: https://www.ncbi.nlm.nih.gov/pubmed/22623145. Accessed on: 5 July 2019.
32.Population and Housing Census Center, Iran Statistics Center Available online: https://www.ncbi.nlm.nih.gov/pubmed/8543964.accessed on:15 sebtamber2019.
33. Peduzzi P, Concato J, Feinstein AR, Holford TR. Importance of events per independent variable in proportional hazards regression analysis. II. Accuracy and precision of regression estimates. 48(12):1503-10 ( 1995 ) . DOI:10.1016/0895-4356(95)00048-8.
https://www.ncbi.nlm.nih.gov/pubmed/8543964.
34. Ramanakumar V Agnihotram P, World Health Organization (IARC), Lyon, France. Reviewing disease burden among rural Indian women. Published Quar ter lyMangalore, South India. 2004;3(2):5.Available online; http://cogprints.org/3796/1/2004-2-1.pdf. Accessed on: 5 July 2019.
35. Whitworth JA. 2003 World Health Organization (WHO)/International Society of Hypertension (ISH) statement on management of hypertension. Journal of Hypertension (J
Hypertens).2003;21(11):1983-92.Available online: https://www.ncbi.nlm.nih.gov/pubmed/14597836. Accessed on;1 September 2019
36. World Health Organization. The WHO STEPwise Approach to Chronic Disease Risk Factor Surveillance (STEPS), World Health Organization, Geneva, Switzerland; 2005. Available online: https://apps.who.int/iris/handle/10665/43376.accessed on: 5 October 2019
37. Chobanian AV, Bakris GL, Black HR, Cushman WC, Green LA, Izzo JL Jr, Jones DW, Materson BJ, Oparil S, Wright JT Jr, Roccella EJ. Seventh report of the Joint National Committee of prevention, detection, evaluation, and treatment of high blood pressure. U.S. Department of Health and Human Services; 2003;19: 2560-72. DOI:10.1001/jama.289.19.2560.
Available online: https://www.ncbi.nlm.nih.gov/pubmed/12748199. Accessed on:5october 2019.
38. Allahdadi F. The Contribution of Women in Rural Development in Iran. Journal of American Science (J American Sci). 2011;7(1):703-7.available online: .
https://www.semanticscholar.org/paper/The-Contribution-of-Women-in-Rural-Development-in-Allahdadi/c4c6b4d0a1abfdcdd56584354b68b05abfcb45a8. Accessed on:7 September 2019
39. Minicuci N BiritwumRB, Mensah G, Yawson AE, Naidoo N, Chatterji S, et al. Sociodemographic and socioeconomic patterns of chronic non-communicable disease among the older adult population in Ghana. Global health action 2014;7:21292.doi.org/10.3402/gha.v7.212-
1Available online: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3991840/pdf/GHA-7-21292.pdf. Accessed on: 4desamber2019.
40 . McLaughlin D, Hockey R, Mishra G. Heart disease in women in remote Australia: urban-rural differences after adjusting for lifestyle behaviours and socio-demographic factors. Australian and New Zealand J of Public Health (Aust N Z J Public Health). 2013; 37(1): 90.
Available online:https://www.ncbi.nlm.nih.gov/pubmed/23379812.Accessed on: 5 July 2019.
41. Hawkes C. Globalization, diets and noncommunicable diseases. Geneva: World Health Organization.2002.Availableonline: https://apps.who.int/iris/bitstream/handle/10665/42609/9241590416.pdf;jsessionid=3A2
42. Yach D ،Bettcher .D. Globalisation of tobacco industry influence and new global responses. Tobacco control 2000;9:206-16. DOI:10.1136/tc.9.2.206.available online: https://www.ncbi.nlm.nih.gov/pubmed/10841858.Accessed on:6october2019.
43 . Koloski NA, Smith N, Pachana NA, Dobson A. Performance of the Goldberg Anxiety and Depression Scale in older women. Age Ageing. 2008;37(4):464-7. doi: 10.1093/ageing/afn091. available online: https://www.ncbi.nlm.nih.gov/pubmed/18460498.Accessed on;21october 2019.
44. Aminpoor H, Afshinfar J, Mostafai A, Ostovar S. Validation of Goldberg's Depression Scale in academic and non-academic peoples. Annals of Biological Research. 2012; 3 (9): 4564-457Doi:. 4564-4573.available online: https://pdfs.semanticscholar.org/3025/295a4ff5a6bc5314ed36363a6b5b35098c2f.pdf.Accessed on:3october2019.
45. Rydmark I, Wahlberg K, Ghatan PH, Model S, Nygren A, Ingvar M, Asberg M, Heilig M. Neuroendocrine, cognitive and structural imaging characteristics of women on longterm sickleave with job stress–induced depression. Biological psychiatry(Biol Psychiatry). 2006;60(8):867-73. DOI: 10.1016/j.Available online: biopsych.2006.04.029. Accessed on:5 mars 2019.
46.Papadopoulos FC, Petridou E, Argyropoulou S, Kontaxakis V, Dessypris N, Anastasiou A, Katsiardani KP, Trichopoulos D, Lyketsos C. Prevalence and correlates of depression in late life: a population based study from a rural Greek town. International Journal of Geriatric Psychiatry (Int J Geriatric Psy: A J Psy late life and allied Sci) 2005;20:350-7. DOI: 10.1002/gps.1288 . Available online: https://www.ncbi.nlm.nih.gov/pubmed/15799076. Accessed on: 10 mars2019.
47. Zhang J, Ye M, Huang H, Li L, Yang A. Depression of chronic medical inpatients in China. Archives of Psychiatric Nursing (Arch Psychiatr Nurse) 2008; 22(1): 39-49. DOI:10.1016/j.apnu.2007.04.007.Available online: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5886187/ Accessed on:18 september 2018.
48. Wray NR, Ripke S, Mattheisen M, Trzaskowski M, Byrne EM, et al. 2018. Genome-wide associationanalyses identify 44 risk variants and refine the genetic architecture of major depression.Nat. Genet.50:668–81. doi: 10.1038/s41588-018-0090-3. https://www.ncbi.nlm.nih.gov/pubmed/29700475.accessed on 4may 2019.
49. Wen Z, Bi-Rong D, Chang-Quan H, Zhen-Chan L, Yuan Z, Hong-Mei W, Yan-Ling Z, Hui W, Ping H. Depression and hypertension among Chinese nonagenarians and centenarians. International Journal of Geriatric Psychiatry (Int J Geriatr Psychiatry). 2010; 25(6): 554-61. DOI: 10.1002/gps.2364. https://www.ncbi.nlm.nih.gov/pubmed/20474060.Available online;Accessed on:20 September 2019.
50. Bauldry S. Variation in the protective effect of higher education against depression. Society and mental health (Soc Ment Health). 2015;5(2):145-61. DOI: 10.1177/2156869314564399.Available on line :https://www.ncbi.nlm.nih.gov/pubmed/27840772.Accessed on: 7 mars 2019.
51 . Roberts RE KG, Shema SJ, Strawbridge WJ. Are the obese at greater risk for depression? American Journal of Epidemiology (Amer J Epid) 2000;152:163-70. DOI: 10.1093/aje/152.2.163.Accessed on: 12 september 2019.
52. Lacoursiere DY, Baksh L, Bloebaum L, Varner MW. Maternal body mass index and self-reported postpartum depressive symptoms. Marten Child Health Journal .2006;10(4):385-390. DOI: 10.1007/s10995-006-0075-1 . 12.Available on line: https://www.google.com/search?client=firefox-b-d&q=Lacoursiere+DY%2C+Baksh+L%2.Accessed on: september 2019.
53. Licht CM dGeus E, Seldenrijk A, van Hout HP, Zitman FG, van Dyck R, et al. . Depression is associated with decreased blood pressure, but antidepressant use increases the risk for hypertension. Hypertension (Dallas, Tex) 1979;53:631-8. doi: 10.1161/HYPERTENSIONAHA.108.126698.Available online: https://www.ncbi.nlm.nih.gov/pubmed/19237679.accessed on: 9mars2019.
54. Song MR, Lee YS, Baek JD, Miller M. Physical activity status in adults with depression in the National Health and Nutrition Examination Survey, 2006 Public health nursing (Boston, Mass). 2012;29(3):208-17. doi: 10.1111/j.1525-1446.2011.00986.x. Available online:https://www.ncbi.nlm.nih.gov/pubmed/22512422.accessed on:12mars2019.
55. Samavat T, Hojatzade A, Nadery Z. Guide the diagnosis ,evaluation and treatment of hypertension for doctors. Tehran: Sadra Publications; 2002. Available online. https://www.google.com/search. Accessed on: 14 septamber 2019.[In Persian].
56. WongJJ. Prevalence and correlates of depressive symptoms in the elderly of rural communities in southern Taiwan. J Nur Res : JNR 2001;9:1-12. DOI: 10.1097/01.JNR.0000347558.69317.66. available online: https://insights.ovid.com/pubmed?pmid=12688568. Accessed on:9mars2019.
57. Sander JB, McCarty CA. Youth depression in the family context: familial risk factors and models of treatment. Clinical child and family psychology review. 2005;8(3):203-219. doi: 10.1007/s10567-005-6666-3.availableovline: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1352328.accessed on: 3mars2019
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2021-08-28
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Risk Factors of Depression among Women Living in Rural Areas of Iranshahr, Iran. (2021). International Journal of Health Studies, 8(1), 44-49. https://doi.org/10.22100/ijhs.v8i1.898
