Contribution of modifiable risk factors on the burden of diabetes among women in reproductive age-group in India: a population based cross-sectional study.
BMI
Diabetes
India
Modifiable risk factors
Women
Journal
Journal of public health policy
ISSN: 1745-655X
Titre abrégé: J Public Health Policy
Pays: England
ID NLM: 8006508
Informations de publication
Date de publication:
Mar 2022
Mar 2022
Historique:
accepted:
16
12
2021
pubmed:
20
1
2022
medline:
3
3
2022
entrez:
19
1
2022
Statut:
ppublish
Résumé
The diabetes burden is rapidly accelerating in India, particularly since the 2000s. We explore the burden and contribution of modifiable risk factors in diabetes among reproductive women across geographic regions of India. The study uses data from the National Family Health Survey in India 2015-2016, Census of India 2011, and World Population Prospects 2015. We computed Population Attributable Fractions and the number of total and estimated avoidable diabetic cases across regions. The prevalence of diabetic cases in India were 24.4 per 1000 women, varying across geographic regions. Diabetes affected around 8.2 million women (15-49 years) in India. Overweight (PAF = 19.5%) and obesity (PAF = 18.3%) contributed to the diabetes burden; if mitigated optimally, these can reduce diabetic cases by 2.8 million in India. Controlling diabetes should be region specific for maximum impact. Extending chronic disease screening during maternal and child health consultations might help decelerate the growing menace of diabetes in the country.
Identifiants
pubmed: 35042964
doi: 10.1057/s41271-021-00334-6
pii: 10.1057/s41271-021-00334-6
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
89-108Informations de copyright
© 2022. The Author(s), under exclusive licence to Springer Nature Limited.
Références
Yadav S, Arokiasamy P. Understanding epidemiological transition in India. Glob Health Action. 2014;7:1–14.
doi: 10.3402/gha.v7.23248
Singh S, Puri P, Subramanian SV. Identifying spatial variation in the burden of diabetes among women across 640 districts in India: a cross-sectional study. J Diabetes Metab Disord. 2020;19:523–33.
doi: 10.1007/s40200-020-00545-w
Shah VN, Mohan V. Diabetes in India: what is different? Curr Opin Endocrinol Diabetes Obes. 2015;22:283–9.
doi: 10.1097/MED.0000000000000166
Mishra A. Diabetes Foundation (India), 2019.
Singh SK, Pedgaonkar S, Puri P, Gupta J. Diabetes-free life in India: application of survival function analysis. J Soc Heal Diabetes. 2018;6:48–55.
doi: 10.1055/s-0038-1676192
Rodriguez-saldana J. The diabetes textbook, 2019.
Prabu S, Kalpana S, Srinivas G. Burden of diabetes in India—a review. Univ J Med Med Spec. 5. 2019.
Verick S. Women’s labour force participation in India: why is it so low? 2011.
Meshram II, Vishnu Vardhana Rao M, Sudershan Rao V, Laxmaiah A, Polasa K. Regional variation in the prevalence of overweight/obesity, hypertension and diabetes and their correlates among the adult rural population in India. Br J Nutr. 2016;115:1265–72.
doi: 10.1017/S0007114516000039
Kunna R, San Sebastian M, Stewart Williams J. Measurement and decomposition of socioeconomic inequality in single and multimorbidity in older adults in China and Ghana: results from the WHO study on global AGEing and adult health (SAGE). Int J Equity Health. 2017;16:1–17.
doi: 10.1186/s12939-017-0578-y
Tripathy JP, Thakur JS, Jeet G, Chawla S, Jain S, Pal A, Prasad R, Saran R. Prevalence and risk factors of diabetes in a large community-based study in North India: results from a STEPS survey in Punjab, India. Diabetol Metab Syndr. 2017;9:1–8.
doi: 10.1186/s13098-017-0207-3
Press Trust India. India ranks low at 76th place on global Social Mobility Index. In: The Hindu. 2020. https://www.thehindu.com/business/india-ranks-low-at-76th-place-on-global-social-mobility-index/article30607184.ece . Accessed 17 Oct 2020.
Pal S. Modifiable risk factors for diabetes complications. In: U.S. Pharm. 2019. https://www.uspharmacist.com/article/modifiable-risk-factors-for-diabetes-complications .
Holst C, Becker U, Jørgensen ME, Grønbæk M, Tolstrup JS. Alcohol drinking patterns and risk of diabetes: a cohort study of 70,551 men and women from the general Danish population. Diabetologia. 2017;60:1941–50.
doi: 10.1007/s00125-017-4359-3
Radzeviciene L, Ostrauskas R. Smoking habits and type 2 diabetes mellitus in women. Women Heal. 2018;58:884–97.
doi: 10.1080/03630242.2017.1358794
International Institute for Population Sciences. National Family and Health Survey (NFHS-4). 2015.
Chandamouli C. Census of India: provisional population totals. 2011.
United Nations. World population prospects: the 2015 revision. 2015. https://doi.org/10.16309/j.cnki.issn.1007-1776.2003.03.004
USAID. The DHS program. 2015. https://dhsprogram.com/data/dataset/India_Standard-DHS_2015.cfm?flag=0 .
Government of India. C-13 Single year age returns by residence and sex. 2011. https://censusindia.gov.in/2011census/C-series/C-13.html .
United Nations. World Population Prospects 2019. 2015. https://population.un.org/wpp/Download/Archive/Standard/ .
American Diabetes Assiciation. Diagnosis. 2020. https://www.diabetes.org/a1c/diagnosis . Accessed 7 Jan 2021.
IIPS, Macro I. National Family Health Survey (NFHS-4). 2017.
Newson RB. Attributable and unattributable risks and fractions and other scenario comparisons. Stata J. 2013;13:672–98.
doi: 10.1177/1536867X1301300402
Kumar P, Ram U. Patterns, factors associated and morbidity burden of asthma in India. PLoS ONE. 2017;12:1–18.
doi: 10.1371/journal.pone.0185938
USAID. Guide to DHS statistics. 2018.
Meo SA, Zia I, Bukhari IA, Arain SA. Type 2 diabetes mellitus in Pakistan: current prevalence and future forecast. J Pak Med Assoc. 2016;66:1637–42.
Diabetes.co.uk. Diabetes in South Asians. In: Diabetes.co.uk. https://www.diabetes.co.uk/south-asian/ . Accessed 13 Oct 2020. 2019.
Dasgupta A. India’s women may be missing tertiary healthcare. In: Nat. India. 2020. https://doi.org/10.1038/nindia.2020.23 . Accessed 13 Oct 2020.
Sharma SK, Vishwakarma D, Puri P. Gender disparities in the burden of non-communicable diseases in India: evidence from the cross-sectional study. Clin Epidemiol Glob Heal. 0–1. 2019.
Prenissl J, Jaacks LM, Mohan V, et al. Variation in health system performance for managing diabetes among states in India: a cross-sectional study of individuals aged 15 to 49 years. BMC Med. 2019;17:1–12.
doi: 10.1186/s12916-019-1325-6
Claypool KT, Chung MK, Deonarine A, Gregg EW, Patel CJ. Characteristics of undiagnosed diabetes in men and women under the age of 50 years in the Indian subcontinent: The National Family Health Survey (NFHS-4)/Demographic Health Survey 2015–2016. BMJ Open Diabetes Res Care. 2020;8:1–10.
doi: 10.1136/bmjdrc-2019-000965
Puri P, Kothvale A, Singh SK, Pati S. Burden and determinants of multimorbidity among women in reproductive age-group: a cross-sectional study based in India. Wellcome Open Res. 2021;5:1–21.
doi: 10.12688/wellcomeopenres.16398.2
Pimple Y, Ashturkar M. Preconception care: an Indian context. Int J Community Med Public Heal. 2016;3:3291–6.
doi: 10.18203/2394-6040.ijcmph20164250
Choudhury A, Roy P. Population attributable fraction analysis of leading chronic diseases in India. Hum Biol Rev. 2016;5:255–83.
Dağ ZÖ, Dilbaz B. Impact of obesity on infertility in women. J Turk Ger Gynecol Assoc. 2015;16:111–7.
doi: 10.5152/jtgga.2015.15232
Carbone S, Canada JM, Billingsley HE, Siddiqui MS, Elagizi A, Lavie CJ. Obesity paradox in cardiovascular disease: where do we stand? Vasc Health Risk Manag. 2019;15:89–100.
doi: 10.2147/VHRM.S168946
Pati S, Swain S, Metsemakers J, Knottnerus JA, Van Den Akker M. Pattern and severity of multimorbidity among patients attending primary care settings in Odisha, India. PLoS ONE. 2017. https://doi.org/10.1371/journal.pone.0183966 .
doi: 10.1371/journal.pone.0183966
Maric C. Risk factors for Cardiovascular disease in women with diabetes. Gend Med. 2011;7:551–6.
doi: 10.1016/j.genm.2010.11.007
Sanghamitra P, Eunice L, Sandipana P, Shayma D, Pranab M. Type 2 diabetes and physical activity: barriers and enablers to diabetes control in Eastern India. Prim Health Care Res Dev. 2019. https://doi.org/10.1017/S146342361800097X .
doi: 10.1017/S146342361800097X
Correia JC, Lachat S, Lagger G, et al. Interventions targeting hypertension and diabetes mellitus at community and primary healthcare level in low-and middle-income countries:a scoping review. BMC Public Health. 2019;19:1–20.
doi: 10.1186/s12889-019-7842-6