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Musa IR, Osman OE, Adam I. The association between parity and type 2 diabetes mellitus: a cross-sectional, community-based study. BMC Endocr Disord 2024; 24:233. [PMID: 39478557 PMCID: PMC11526553 DOI: 10.1186/s12902-024-01767-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2024] [Accepted: 10/25/2024] [Indexed: 11/02/2024] Open
Abstract
BACKGROUND Limited published data exist on the association between parity (number of deliveries) and diabetes mellitus (DM). This study was conducted to evaluate the association between parity and type 2 DM (T2DM) among Sudanese women. METHOD A multistage sampling survey was conducted in four villages in the River Nile State, Sudan, between July and September 2022. The World Health Organization's three-level stepwise questionnaire was adopted to collect women's sociodemographic characteristics (age, sex, height, weight, marital status, parity, education level, occupation, detailed obstetric history, and family history of T2DM). Multivariate analyses were performed. RESULTS A total of 397 women were recruited. Their median (interquartile range) age was 45.0 (33.0‒55.7) years. A total of 154 women (38.8%) were nulliparous, whereas 93 (23.4%), 70 (17.6%), and 80 (20.2%) had para 1‒3, 4 or 5, and more than 5, respectively. A total of 112 (28.2%) women had T2DM. In multivariate analysis, older age (adjusted odds ratio, AOR, 1.04, 95%, confidence interval, CI, 1.02‒1.06), high parity (AOR, 1.1, 95% C, 1.01‒1.20), and a family history of DM (AOR, 3.26, 95% CI, 1.98‒5.38) were associated with T2DM. Compared with the nulliparity, para 1‒3 (AOR, 2.33; 95% CI, 1.17‒4.61), para 4 or 5 (AOR, 2.12; 95% CI, 1.04‒4.30), and para > 5 (AOR, 2.16; 95% CI, 1.09‒4.27) were at higher risk of T2DM. In women aged < 50 years, high parity (AOR, 1.22; 95% CI, 1.06‒1.44) was associated with T2DM. Compared with the nulliparous women, para 4 or 5 (AOR, 3.47; 95% CI, 1.16‒10.34) and para > 5 (AOR, 4.63; 95% CI, 1.54‒13.87) were associated with T2DM, whereas para 1‒3 was not associated with T2DM. In the women aged ≥ 50 years, parity and parity groups were not associated with T2DM. CONCLUSION There is a high prevalence of T2DM among Sudanese women. Parity and high parity are significant predictors of T2DM among these women in this part of Sudan.
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Affiliation(s)
- Imad R Musa
- Royal Commission Hospital at AL Jubail Industrial City, Al Jubail, Kingdom of Saudi Arabia
| | - Osman E Osman
- Faculty of Medicine, Alneelain University, Khartoum, Sudan.
| | - Ishag Adam
- Department of Obstetrics and Gynecology, College of Medicine, Qassim University, Buraydah, Saudi Arabia
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Belsti Y, Moran LJ, Goldstein R, Mousa A, Cooray SD, Baker S, Gupta Y, Patel A, Tandon N, Ajanthan S, John R, Naheed A, Chakma N, Lakshmi JK, Zoungas S, Billot L, Desai A, Bhatla N, Prabhakaran D, Gupta I, de Silva HA, Kapoor D, Praveen D, Farzana N, Enticott J, Teede H. Development of a risk prediction model for postpartum onset of type 2 diabetes mellitus, following gestational diabetes; the lifestyle InterVention in gestational diabetes (LIVING) study. Clin Nutr 2024; 43:1728-1735. [PMID: 38909514 DOI: 10.1016/j.clnu.2024.06.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 04/18/2024] [Accepted: 06/07/2024] [Indexed: 06/25/2024]
Abstract
AIMS This study aimed to develop a prediction model for identifying a woman with gestational diabetes mellitus (GDM) at high risk of type 2 diabetes (T2DM) post-birth. METHODS Utilising data from 1299 women in the Lifestyle Intervention IN Gestational Diabetes (LIVING) study, two models were developed: one for pregnancy and another for postpartum. Key predictors included glucose test results, medical history, and biometric indicators. RESULTS Of the initial cohort, 124 women developed T2DM within three years. The study identified seven predictors for the antenatal T2DM risk prediction model and four for the postnatal one. The models demonstrated good to excellent predictive ability, with Area under the ROC Curve (AUC) values of 0.76 (95% CI: 0.72 to 0.80) and 0.85 (95% CI: 0.81 to 0.88) for the antenatal and postnatal models, respectively. Both models underwent rigorous validation, showing minimal optimism in predictive capability. Antenatal model, considering the Youden index optimal cut-off point of 0.096, sensitivity, specificity, and accuracy were measured as 70.97%, 70.81%, and 70.82%, respectively. For the postnatal model, considering the cut-off point 0.086, sensitivity, specificity, and accuracy were measured as 81.40%, 75.60%, and 76.10%, respectively. CONCLUSIONS These models are effective for predicting T2DM risk in women with GDM, although external validation is recommended before widespread application.
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Affiliation(s)
- Yitayeh Belsti
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
| | - Lisa J Moran
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
| | - Rebecca Goldstein
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia; Monash Health, Melbourne, Australia
| | - Aya Mousa
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
| | - Shamil D Cooray
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia; Monash Health, Melbourne, Australia
| | - Susanne Baker
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
| | - Yashdeep Gupta
- All India Institute of Medical Sciences, New Delhi, India
| | - Anushka Patel
- The George Institute for Global Health, University of New South Wales, Newtown, NSW, Australia
| | - Nikhil Tandon
- All India Institute of Medical Sciences, New Delhi, India
| | | | - Renu John
- The George Institute for Global Health, New Delhi, India
| | - Aliya Naheed
- Non-Communicable Diseases, Nutrition Research Division, International Centre for Diarrhoeal Disease Research, Bangladesh
| | - Nantu Chakma
- Non-Communicable Diseases, Nutrition Research Division, International Centre for Diarrhoeal Disease Research, Bangladesh
| | - Josyula K Lakshmi
- Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, India; The George Institute for Global Health, New Delhi, India; Faculty of Medicine and Health, University of New South Wales, Sydney, Australia
| | - Sophia Zoungas
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Laurent Billot
- The George Institute for Global Health, New Delhi, India; Faculty of Medicine and Health, University of New South Wales, Sydney, Australia
| | - Ankush Desai
- Department of Endocrinology, Goa Medical College, Goa, India
| | - Neerja Bhatla
- All India Institute of Medical Sciences, New Delhi, India
| | | | - Ishita Gupta
- Centre for Chronic Disease Control, New Delhi, India
| | - H Asita de Silva
- Clinical Trials Unit, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka
| | - Deksha Kapoor
- All India Institute of Medical Sciences, New Delhi, India
| | - Devarsetty Praveen
- Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, India; Faculty of Medicine and Health, University of New South Wales, Sydney, Australia; George Institute for Global Health, Hyderabad, India
| | - Noshin Farzana
- Non-Communicable Diseases, Nutrition Research Division, International Centre for Diarrhoeal Disease Research, Bangladesh
| | - Joanne Enticott
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia.
| | - Helena Teede
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia; Monash Health, Melbourne, Australia
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Wang Q, Pang B, Wu J, Li C, Niu W. Reproductive factors and cardiometabolic disease among middle-aged and older women: a nationwide study from CHARLS. Front Cardiovasc Med 2024; 11:1345186. [PMID: 38745759 PMCID: PMC11091256 DOI: 10.3389/fcvm.2024.1345186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 04/05/2024] [Indexed: 05/16/2024] Open
Abstract
Background Cardiometabolic disease is skyrocketing to epidemic proportions due to the high prevalence of its components and the aging of the worldwide population. More efforts are needed to improve cardiometabolic health. The aim of this nationally representative study based on the China Health and Retirement Longitudinal Study (CHARLS, 2014-2018) was to examine the association between reproductive factors and cardiometabolic disease among Chinese women aged ≥45 years. Methods The CHARLS is an ongoing longitudinal study initiated in 2011, and the latest follow-up was completed in 2018. In total, 6,407 participants were analyzed. Effect-sizes are expressed as odds ratios (OR) and 95% confidence intervals (CI). Confounding was considered from statistical adjustment, subsidiary exploration, and unmeasured confounding assessment aspects. Results Of 6,407 accessible participants, 60.9% were recorded as having one or more of five predefined cardiovascular or metabolic disorders. Compared to those with two children, participants who had 0-1 child were found to have a lower risk of cardiometabolic disease (OR = 0.844, 95% CI: 0.714-0.998), and those who had ≥3 children had a greater risk (OR = 1.181, 95% CI: 1.027-1.357). Age at menarche of 16-18 years was a protective factor compared with ≤16 years of age (OR = 0.858, 95% CI: 0.749-0.982). In contrast, participants with a history of abortion were 1.212 times more likely to have cardiometabolic disorders (OR = 1.212, 95% CI: 1.006-1.465). The likelihood for the presence of unmeasured confounding was low, as reflected by E-values. Conclusions Our findings demonstrate that number of children, age at menarche, and history of abortion were associated with a significant risk of cardiometabolic disease among Chinese women aged ≥45 years.
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Affiliation(s)
- Qiong Wang
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
- Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China
| | - Bo Pang
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
- Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China
| | - Jing Wu
- Center for Evidence-Based Medicine, Capital Institute of Pediatrics, Beijing, China
| | - Chunyan Li
- Department of Cardiology, Integrated Traditional Chinese and Western Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Wenquan Niu
- Center for Evidence-Based Medicine, Capital Institute of Pediatrics, Beijing, China
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Wang H, Iwama N, Yuwaki K, Nakamichi Y, Hamada H, Tomita H, Tagami K, Kudo R, Kumagai N, Metoki H, Nakaya N, Hozawa A, Kuriyama S, Yaegashi N, Saito M. Association of parity with the prevalence of hypertension in Japan: The Tohoku Medical Megabank Community-based cohort study. J Clin Hypertens (Greenwich) 2024; 26:102-121. [PMID: 38192049 PMCID: PMC10857469 DOI: 10.1111/jch.14756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 11/18/2023] [Accepted: 11/22/2023] [Indexed: 01/10/2024]
Abstract
This study investigated the association of parity with hypertension prevalence in Japanese women while considering a clinical history of hypertensive disorders of pregnancy (HDP) and menopausal status. This cross-sectional study included 30,530 Japanese women (6700 premenopausal; 23 830 postmenopausal). The association between parity and the prevalence of hypertension was evaluated using a multiple logistic regression model with possible confounders. In premenopausal women, no statistically significant association between parity and hypertension prevalence was found. When not adjusted for current body mass index (BMI), a linear graded association was observed between parity and the prevalence of hypertension in postmenopausal women. However, the association between parity and hypertension prevalence in postmenopausal women was attenuated after adjustment for current BMI. Both current BMI and a clinical history of HDP were significantly associated with a high risk of hypertension in both premenopausal and postmenopausal women. Our results also suggest that continuous surveillance and preventive measures for hypertension should be provided for women with HDP and high parity.
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Affiliation(s)
- Hongxin Wang
- Department of Obstetrics and GynecologyTohoku University Graduate School of MedicineSendaiMiyagiJapan
| | - Noriyuki Iwama
- Department of Obstetrics and GynecologyTohoku University Graduate School of MedicineSendaiMiyagiJapan
- Women's Health Care Medical ScienceTohoku University Graduate School of MedicineSendaiMiyagiJapan
- Tohoku Medical Megabank OrganizationTohoku UniversitySendaiMiyagiJapan
| | - Keiichi Yuwaki
- Underwriting and Medical DepartmentThe Dai‐ichi Life Insurance Company, LimitedKoto‐kuTokyoJapan
| | - You Nakamichi
- Underwriting and Medical DepartmentThe Dai‐ichi Life Insurance Company, LimitedKoto‐kuTokyoJapan
| | - Hirotaka Hamada
- Department of Obstetrics and GynecologyTohoku University Graduate School of MedicineSendaiMiyagiJapan
| | - Hasumi Tomita
- Department of Obstetrics and GynecologyTohoku University Graduate School of MedicineSendaiMiyagiJapan
| | - Kazuma Tagami
- Department of Obstetrics and GynecologyTohoku University Graduate School of MedicineSendaiMiyagiJapan
| | - Rie Kudo
- Department of Obstetrics and GynecologyTohoku University Graduate School of MedicineSendaiMiyagiJapan
| | - Natsumi Kumagai
- Department of Obstetrics and GynecologyTohoku University Graduate School of MedicineSendaiMiyagiJapan
| | - Hirohito Metoki
- Tohoku Medical Megabank OrganizationTohoku UniversitySendaiMiyagiJapan
- Division of Public Health, Hygiene and EpidemiologyTohoku Medical Pharmaceutical UniversitySendaiMiyagiJapan
| | - Naoki Nakaya
- Tohoku Medical Megabank OrganizationTohoku UniversitySendaiMiyagiJapan
| | - Atsushi Hozawa
- Tohoku Medical Megabank OrganizationTohoku UniversitySendaiMiyagiJapan
| | - Shinichi Kuriyama
- Division of Molecular EpidemiologyTohoku University Graduate School of MedicineSendaiMiyagiJapan
- International Research Institute of Disaster ScienceTohoku UniversitySendaiMiyagiJapan
- Environment and Genome Research CenterTohoku University Graduate School of MedicineSendaiMiyagiJapan
| | - Nobuo Yaegashi
- Department of Obstetrics and GynecologyTohoku University Graduate School of MedicineSendaiMiyagiJapan
- Women's Health Care Medical ScienceTohoku University Graduate School of MedicineSendaiMiyagiJapan
- Tohoku Medical Megabank OrganizationTohoku UniversitySendaiMiyagiJapan
- Environment and Genome Research CenterTohoku University Graduate School of MedicineSendaiMiyagiJapan
| | - Masatoshi Saito
- Department of Obstetrics and GynecologyTohoku University Graduate School of MedicineSendaiMiyagiJapan
- Women's Health Care Medical ScienceTohoku University Graduate School of MedicineSendaiMiyagiJapan
- Department of Maternal and Fetal TherapeuticsTohoku University Graduate School of MedicineSendaiMiyagiJapan
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Hummelen R, Sodhi S, Poirier J, Gordon J, Asokan S, Matsumoto CL, Kelly L. Progression From Gestational Diabetes Mellitus to Type 2 Diabetes Mellitus Among First Nations Women in Northwest Ontario: A Retrospective Cohort Study. Can J Diabetes 2023; 47:566-570. [PMID: 37196981 DOI: 10.1016/j.jcjd.2023.05.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 03/07/2023] [Accepted: 05/09/2023] [Indexed: 05/19/2023]
Abstract
OBJECTIVE Our aim in this study was to identify the incidence of type 2 diabetes mellitus among First Nations women in northwest Ontario with a history of gestational diabetes mellitus (GDM). METHODS This work was a retrospective cohort study of women diagnosed with GDM using a 50-gram oral glucose challenge test or a 75-gram oral glucose tolerance test from January 1, 2010, to December 31, 2017, at the Sioux Lookout Meno Ya Win Health Centre. Outcomes were assessed based on glycated hemoglobin (A1C) measurements performed between January 1, 2010, and December 31, 2019. RESULTS The cumulative incidence of T2DM among women with a history of GDM was 18% (42 of 237) at 2 years and 39% (76 of 194) at 6 years. Women with GDM who developed T2DM were of similar age and parity and had equivalent C-section rates (26%) compared to those who did not develop T2DM. They had higher birth weights (3,866 grams vs 3,600 grams, p=0.006) and rates of treatment with insulin (24% vs 5%, p<0.001) and metformin (16% vs 5%, p=0.005). CONCLUSIONS GDM confers a significant risk for the development of T2DM in First Nations women. Broad community-based resources, food security, and social programming are required.
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Affiliation(s)
- Ruben Hummelen
- Division of Clinical Sciences, Northern Ontario School of Medicine, Sioux Lookout, Ontario, Canada
| | - Sumeet Sodhi
- Department of Family and Community Medicine, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Jenna Poirier
- Sioux Lookout Northern Ontario School of Medicine Local Education Group, Sioux Lookout, Ontario, Canada
| | - Janet Gordon
- Sioux Lookout First Nations Health Authority, Sioux Lookout, Ontario, Canada
| | - Shanthive Asokan
- Sioux Lookout Meno Ya Win Health Centre, Sioux Lookout, Ontario, Canada
| | - Cai-Lei Matsumoto
- Sioux Lookout Northern Ontario School of Medicine Local Education Group, Sioux Lookout, Ontario, Canada
| | - Len Kelly
- Sioux Lookout Meno Ya Win Health Centre, Sioux Lookout, Ontario, Canada.
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Su H, Jiang C, Zhang W, Zhu F, Jin Y, Cheng K, Lam T, Xu L. Parity and incident type 2 diabetes in older Chinese women: Guangzhou Biobank Cohort Study. Sci Rep 2023; 13:9504. [PMID: 37308533 DOI: 10.1038/s41598-023-36786-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 06/09/2023] [Indexed: 06/14/2023] Open
Abstract
This study examined the association between parity and incident type 2 diabetes in older Chinese women and estimated the mediation effect of adiposity indicators. A total of 11,473 women without diabetes at baseline from 2003 to 2008 were followed up until 2012. We used Cox proportional hazards regression to assess the association between parity and incident type 2 diabetes, and mediation analysis to estimate the mediation effect of adiposity indicators. Compared to women with one parity, the hazard ratio (HR) (95% confidence interval (CI)) for incident type 2 diabetes was 0.85 (0.44-1.63), 1.20 (1.11-1.30), 1.28 (1.16-1.41) and 1.27 (1.14-1.42) for women with parity of 0, 2, 3, and ≥ 4, respectively. The proportion of indirect effect (95% CI) mediated by body mass index, waist circumference, hip circumference, waist-to-hip ratio, waist-to-height ratio and body fat percentage was 26.5% (19.2-52.2%), 54.5% (39.4-108.7%), 25.1% (18.2-49.1%), 35.9% (25.6-74.1%), 50.3% (36.5-98.6%) and 15.1% (- 66.4 to 112.3%), respectively. Compared to women with one parity, women with multiparity (≥ 2) had a higher risk of incident type 2 diabetes and up to half of the association was mediated by abdominal obesity.
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Affiliation(s)
- Huimin Su
- School of Public Health, Sun Yat-Sen University, 74 Zhongshan 2nd Road, Guangzhou, 510080, Guangdong, China
| | - Chaoqiang Jiang
- Molecular Epidemiology Research Centre, Guangzhou Twelfth People's Hospital, Guangzhou, 510620, China
| | - Weisen Zhang
- Molecular Epidemiology Research Centre, Guangzhou Twelfth People's Hospital, Guangzhou, 510620, China.
| | - Feng Zhu
- Molecular Epidemiology Research Centre, Guangzhou Twelfth People's Hospital, Guangzhou, 510620, China
| | - Yali Jin
- Molecular Epidemiology Research Centre, Guangzhou Twelfth People's Hospital, Guangzhou, 510620, China
| | - Karkeung Cheng
- Institute of Applied Health Research, University of Birmingham, Birmingham, B15 2TT, UK
| | - Taihing Lam
- Molecular Epidemiology Research Centre, Guangzhou Twelfth People's Hospital, Guangzhou, 510620, China
- School of Public Health, The University of Hong Kong, Hong Kong, 999077, China
| | - Lin Xu
- School of Public Health, Sun Yat-Sen University, 74 Zhongshan 2nd Road, Guangzhou, 510080, Guangdong, China.
- School of Public Health, The University of Hong Kong, Hong Kong, 999077, China.
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Faramarzi E, Somi MH, Tutunchi H, Almaspour H, Sanaie S, Asemani S. The association of parity number with multimorbidity and polypharmacy among Iranian women in the Azarcohort: a cross-sectional study. BMC Womens Health 2023; 23:295. [PMID: 37264361 DOI: 10.1186/s12905-023-02434-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2022] [Accepted: 05/13/2023] [Indexed: 06/03/2023] Open
Abstract
OBJECTIVE We aimed to study the association of parity number with multimorbidity (MM) and polypharmacy among women in the Azar cohort population. PATIENTS & METHODS This cross-sectional investigation was based on data from the Azar Cohort Study. Information regarding demographics, personal habits, physical activity level, medical and reproductive history, and anthropometric measurements of 8,290 females (35-70 years) were evaluated. Ordinal logistic and logistic regression analyses were conducted to assess for associations of parity number with multimorbidity (MM), polypharmacy, chronic disease, and abdominal obesity. RESULTS More educated participants and people in the fifth quintile of the Wealth Score Index were less likely to have a higher parity number. With increasing parity numbers, the prevalence of MM, polypharmacy, hypertension, cardiovascular disease, fatty liver disease, stroke, rheumatoid diseases, chronic obstructive pulmonary disease, and cancers tended to rise. Moreover, we found that increasing parity numbers (especially when ≥ 5) enhanced the odds of abdominal obesity, waist-to-hip ratio ≥ 0.85, and waist-to-height ratio ≥ 0.5; these significant associations were more obvious in parity numbers ≥ 9 and WHtR ≥ 0.5. CONCLUSION The parity number is associated with MM and polypharmacy in Iranian women enrolled in the Azar Cohort Study. Further studies exploring the pathways (biological, social, and environmental) underlying these relationships will provide clues for preventing morbidity and premature mortality among susceptible andhighly parous women.
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Affiliation(s)
- Elnaz Faramarzi
- Liver and Gastrointestinal Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Mohammd Hossein Somi
- Liver and Gastrointestinal Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Helda Tutunchi
- Endocrine Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Hanieh Almaspour
- Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Sarvin Sanaie
- Research Center for Integrative Medicine in Aging, Aging Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran.
| | - Sanaz Asemani
- Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran.
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