Patterns of multimorbidity in India: A nationally representative cross-sectional study of individuals aged 15 to 49 years

被引:19
作者
Prenissl, Jonas [1 ,2 ,3 ]
De Neve, Jan-Walter [1 ,2 ]
Sudharsanan, Nikkil [1 ,2 ,4 ]
Manne-Goehler, Jennifer [5 ]
Mohan, Viswanathan [6 ,7 ]
Awasthi, Ashish [8 ]
Prabhakaran, Dorairaj [8 ,9 ]
Roy, Ambuj [10 ]
Tandon, Nikhil [11 ]
Davies, Justine I. [12 ,13 ]
Atun, Rifat [14 ,15 ]
Barnighausen, Till [1 ,2 ,14 ,16 ]
Jaacks, Lindsay M. [8 ,17 ]
Vollmer, Sebastian [18 ,19 ]
Geldsetzer, Pascal [20 ,21 ]
机构
[1] Heidelberg Univ, Heidelberg Inst Global Hlth, Med Fac, Heidelberg, Germany
[2] Heidelberg Univ, Univ Hosp, Heidelberg, Germany
[3] Heidelberg Univ, Med Fac Heidelberg, Heidelberg, Germany
[4] Tech Univ Munich, Munich, Germany
[5] Massachusetts Gen Hosp, Div Infect Dis, Boston, MA 02115 USA
[6] ICMR Ctr Adv Res Diabet, Madras Diabet Res Fdn, Chennai 600086, Tamil Nadu, India
[7] Dr Mohans Diabet Special Ctr, Chennai, Tamil Nadu, India
[8] Publ Hlth Fdn India, Ctr Chron Condit & Injuries, Gurugram, Haryana, India
[9] Univ London, London Sch Hyg & Trop Med, London, England
[10] All India Inst Med Sci, Cardiothorac Ctr, Dept Cardiol, New Delhi, India
[11] All India Inst Med Sci, Dept Endocrinol & Metab, New Delhi, India
[12] Univ Birmingham, Inst Appl Hlth Res, Birmingham, England
[13] Univ Witwatersrand, Sch Publ Hlth, Fac Hlth Sci, MRC Wits Rural Publ Hlth & Hlth Transit Res Unit A, Johannesburg, South Africa
[14] Harvard TH Chan Sch Publ Hlth, Dept Global Hlth & Populat, Boston, MA USA
[15] Harvard Univ, Harvard Med Sch, Boston, MA USA
[16] Africa Hlth Res Inst, Mtubatuba, Kwazulu Natal, South Africa
[17] Univ Edinburgh, Global Acad Agr & Food Secur, Edinburgh, Midlothian, Scotland
[18] Univ Goettingen, Dept Econ, Gottingen, Germany
[19] Univ Goettingen, Ctr Modern Indian Studies, Gottingen, Germany
[20] Stanford Univ, Dept Med, Div Primary Care & Populat Hlth, Stanford, CA 94305 USA
[21] Chan Zuckerberg Biohub, San Francisco 94158, CA USA
来源
PLOS GLOBAL PUBLIC HEALTH | 2022年 / 2卷 / 08期
关键词
AIR-POLLUTION; PREVALENCE; RISK; CARE; EPIDEMIOLOGY; MORTALITY; ADULTS; STATES; INCOME;
D O I
10.1371/journal.pgph.0000587
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
There is a dearth of evidence on the epidemiology of multimorbidity in low- and middle- income countries. This study aimed to determine the prevalence of multimorbidity in India and its variation among states and population groups. We analyzed data from a nationally representative household survey conducted in 2015-2016 among individuals aged 15 to 49 years. Multimorbidity was defined as having two or more conditions out of five common chronic morbidities in India: anemia, asthma, diabetes, hypertension, and obesity. We disaggregated multimorbidity prevalence by condition, state, rural versus urban areas, district- level wealth, and individual-level sociodemographic characteristics. 712,822 individuals were included in the analysis. The prevalence of multimorbidity was 7.2% (95% CI, 7.1%- 7.4%), and was higher in urban (9.7% [95% CI, 9.4%- 10.1%]) than in rural (5.8% [95% CI, 5.7%- 6.0%]) areas. The three most prevalent morbidity combinations were hypertension with obesity (2.9% [95% CI, 2.8%- 3.1%]), hypertension with anemia (2.2% [95% CI, 2.1%- 2.3%]), and obesity with anemia (1.2% [95% CI, 1.1%- 1.2%]). The age-standardized multi- morbidity prevalence varied from 3.4% (95% CI: 3.0%- 3.8%) in Chhattisgarh to 16.9% (95% CI: 13.2%- 21.5%) in Puducherry. Being a woman, being married, not currently smoking, greater household wealth, and living in urban areas were all associated with a higher risk of multimorbidity. Multimorbidity is common among young and middle-aged adults in India. This study can inform screening guidelines for chronic conditions and the targeting of relevant policies and interventions to those most in need.
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页数:16
相关论文
共 61 条
[1]   When Should You Adjust Standard Errors for Clustering?* [J].
Abadie, Alberto ;
Athey, Susan ;
Imbens, Guido W. ;
Wooldridge, Jeffrey M. .
QUARTERLY JOURNAL OF ECONOMICS, 2022, 138 (01) :1-35
[2]   Multimorbidity and the inequalities of global ageing: a cross-sectional study of 28 countries using the World Health Surveys [J].
Afshar, Sara ;
Roderick, Paul J. ;
Kowal, Paul ;
Dimitrov, Borislav D. ;
Hill, Allan G. .
BMC PUBLIC HEALTH, 2015, 15
[3]   Prevalence of diabetes and prediabetes in 15 states of India: results from the ICMR-INDIAB population-based cross-sectional study [J].
Anjana, Ranjit Mohan ;
Deepa, Mohan ;
Pradeepa, Rajendra ;
Mahanta, Jagadish ;
Narain, Kanwar ;
Das, Hiranya Kumar ;
Adhikari, Prabha ;
Rao, Paturi Vishnupriya ;
Saboo, Banshi ;
Kumar, Ajay ;
Bhansali, Anil ;
John, Mary ;
Luaia, Rosang ;
Reang, Taranga ;
Ningombam, Somorjit ;
Jampa, Lobsang ;
Budnah, Richard O. ;
Elangovan, Nirmal ;
Subashini, Radhakrishnan ;
Venkatesan, Ulagamathesan ;
Unnikrishnan, Ranjit ;
Das, Ashok Kumar ;
Madhu, Sri Venkata ;
Ali, Mohammed K. ;
Pandey, Arvind ;
Dhaliwal, Rupinder Singh ;
Kaur, Tanvir ;
Swaminathan, Soumya ;
Mohan, Viswanathan .
LANCET DIABETES & ENDOCRINOLOGY, 2017, 5 (08) :585-596
[4]  
[Anonymous], 1998, MMWR Recomm Rep, V47, P1
[5]  
[Anonymous], 2017, WHO STEPS Surveillance Manual
[6]  
[Anonymous], 2018, Lancet, V392, P1859
[7]  
[Anonymous], 2016, NATL FAMILY HLTH SUR
[8]  
[Anonymous], 2016, Global Burden of Disease Study 2015 (GBD 2015) Population Estimates 1970- 2015
[9]  
[Anonymous], 2017, WORLD POPULATION PRO
[10]  
[Anonymous], 2019, World Population Prospects: The 2019 Revision