821 related articles for article (PubMed ID: 29379964)
1. Diabetes and Hypertension in India: A Nationally Representative Study of 1.3 Million Adults.
Geldsetzer P; Manne-Goehler J; Theilmann M; Davies JI; Awasthi A; Vollmer S; Jaacks LM; Bärnighausen T; Atun R
JAMA Intern Med; 2018 Mar; 178(3):363-372. PubMed ID: 29379964
[TBL] [Abstract][Full Text] [Related]
2. Hypertension screening, awareness, treatment, and control in India: A nationally representative cross-sectional study among individuals aged 15 to 49 years.
Prenissl J; Manne-Goehler J; Jaacks LM; Prabhakaran D; Awasthi A; Bischops AC; Atun R; Bärnighausen T; Davies JI; Vollmer S; Geldsetzer P
PLoS Med; 2019 May; 16(5):e1002801. PubMed ID: 31050680
[TBL] [Abstract][Full Text] [Related]
3. The prevalence of concurrently raised blood glucose and blood pressure in India: a cross-sectional study of 2035 662 adults.
Bischops AC; Manne-Goehler J; Jaacks LM; Awasthi A; Theilmann M; Davies JI; Atun R; Bärnighausen T; Vollmer S; Geldsetzer P
J Hypertens; 2019 Sep; 37(9):1822-1831. PubMed ID: 31368919
[TBL] [Abstract][Full Text] [Related]
4. Variation in health system performance for managing diabetes among states in India: a cross-sectional study of individuals aged 15 to 49 years.
Prenissl J; Jaacks LM; Mohan V; Manne-Goehler J; Davies JI; Awasthi A; Bischops AC; Atun R; Bärnighausen T; Vollmer S; Geldsetzer P
BMC Med; 2019 May; 17(1):92. PubMed ID: 31084606
[TBL] [Abstract][Full Text] [Related]
5. Prevalence of obesity, hypertension, and diabetes, and cascade of care in sub-Saharan Africa: a cross-sectional, population-based study in rural and urban Malawi.
Price AJ; Crampin AC; Amberbir A; Kayuni-Chihana N; Musicha C; Tafatatha T; Branson K; Lawlor DA; Mwaiyeghele E; Nkhwazi L; Smeeth L; Pearce N; Munthali E; Mwagomba BM; Mwansambo C; Glynn JR; Jaffar S; Nyirenda M
Lancet Diabetes Endocrinol; 2018 Mar; 6(3):208-222. PubMed ID: 29371076
[TBL] [Abstract][Full Text] [Related]
6. Geographic and sociodemographic variation of cardiovascular disease risk in India: A cross-sectional study of 797,540 adults.
Geldsetzer P; Manne-Goehler J; Theilmann M; Davies JI; Awasthi A; Danaei G; Gaziano TA; Vollmer S; Jaacks LM; Bärnighausen T; Atun R
PLoS Med; 2018 Jun; 15(6):e1002581. PubMed ID: 29920517
[TBL] [Abstract][Full Text] [Related]
7. Awareness, treatment, and control of hypertension in adults aged 45 years and over and their spouses in India: A nationally representative cross-sectional study.
Mohanty SK; Pedgaonkar SP; Upadhyay AK; Kämpfen F; Shekhar P; Mishra RS; Maurer J; O'Donnell O
PLoS Med; 2021 Aug; 18(8):e1003740. PubMed ID: 34428221
[TBL] [Abstract][Full Text] [Related]
8. Chronic disease concordance within Indian households: A cross-sectional study.
Patel SA; Dhillon PK; Kondal D; Jeemon P; Kahol K; Manimunda SP; Purty AJ; Deshpande A; Negi PC; Ladhani S; Toteja GS; Patel V; Prabhakaran D
PLoS Med; 2017 Sep; 14(9):e1002395. PubMed ID: 28961237
[TBL] [Abstract][Full Text] [Related]
9. Prevalence of sustained hypertension and obesity among urban and rural adolescents: a school-based, cross-sectional study in North India.
Mohan B; Verma A; Singh K; Singh K; Sharma S; Bansal R; Tandon R; Goyal A; Singh B; Chhabra ST; Aslam N; Wander GS; Roy A; Prabhakaran D
BMJ Open; 2019 Sep; 9(9):e027134. PubMed ID: 31501100
[TBL] [Abstract][Full Text] [Related]
10. Prevalence of risk factors of non-communicable diseases in Kerala, India: results of a cross-sectional study.
Sarma PS; Sadanandan R; Thulaseedharan JV; Soman B; Srinivasan K; Varma RP; Nair MR; Pradeepkumar AS; Jeemon P; Thankappan KR; Kutty RV
BMJ Open; 2019 Nov; 9(11):e027880. PubMed ID: 31712329
[TBL] [Abstract][Full Text] [Related]
11. Hypertension among adults in Bangladesh: evidence from a national cross-sectional survey.
Chowdhury MA; Uddin MJ; Haque MR; Ibrahimou B
BMC Cardiovasc Disord; 2016 Jan; 16():22. PubMed ID: 26809175
[TBL] [Abstract][Full Text] [Related]
12. Prevalence and associated risk factors of hypertension among persons aged 15-49 in India: a cross-sectional study.
Ghosh S; Kumar M
BMJ Open; 2019 Dec; 9(12):e029714. PubMed ID: 31848161
[TBL] [Abstract][Full Text] [Related]
13. Prevalence of diabetes and prediabetes in 15 states of India: results from the ICMR-INDIAB population-based cross-sectional study.
Anjana RM; Deepa M; Pradeepa R; Mahanta J; Narain K; Das HK; Adhikari P; Rao PV; Saboo B; Kumar A; Bhansali A; John M; Luaia R; Reang T; Ningombam S; Jampa L; Budnah RO; Elangovan N; Subashini R; Venkatesan U; Unnikrishnan R; Das AK; Madhu SV; Ali MK; Pandey A; Dhaliwal RS; Kaur T; Swaminathan S; Mohan V;
Lancet Diabetes Endocrinol; 2017 Aug; 5(8):585-596. PubMed ID: 28601585
[TBL] [Abstract][Full Text] [Related]
14. Socioeconomic Gradients and Distribution of Diabetes, Hypertension, and Obesity in India.
Corsi DJ; Subramanian SV
JAMA Netw Open; 2019 Apr; 2(4):e190411. PubMed ID: 30951154
[TBL] [Abstract][Full Text] [Related]
15. Prevalence of diabetes and prediabetes (impaired fasting glucose and/or impaired glucose tolerance) in urban and rural India: phase I results of the Indian Council of Medical Research-INdia DIABetes (ICMR-INDIAB) study.
Anjana RM; Pradeepa R; Deepa M; Datta M; Sudha V; Unnikrishnan R; Bhansali A; Joshi SR; Joshi PP; Yajnik CS; Dhandhania VK; Nath LM; Das AK; Rao PV; Madhu SV; Shukla DK; Kaur T; Priya M; Nirmal E; Parvathi SJ; Subhashini S; Subashini R; Ali MK; Mohan V;
Diabetologia; 2011 Dec; 54(12):3022-7. PubMed ID: 21959957
[TBL] [Abstract][Full Text] [Related]
16. The interaction between district-level development and individual-level socioeconomic gradients of cardiovascular disease risk factors in India: A cross-sectional study of 2.4 million adults.
Jung L; De Neve JW; Chen S; Manne-Goehler J; Jaacks LM; Corsi DJ; Awasthi A; Subramanian SV; Vollmer S; Bärnighausen T; Geldsetzer P
Soc Sci Med; 2019 Oct; 239():112514. PubMed ID: 31541939
[TBL] [Abstract][Full Text] [Related]
17. The state of hypertension care in 44 low-income and middle-income countries: a cross-sectional study of nationally representative individual-level data from 1·1 million adults.
Geldsetzer P; Manne-Goehler J; Marcus ME; Ebert C; Zhumadilov Z; Wesseh CS; Tsabedze L; Supiyev A; Sturua L; Bahendeka SK; Sibai AM; Quesnel-Crooks S; Norov B; Mwangi KJ; Mwalim O; Wong-McClure R; Mayige MT; Martins JS; Lunet N; Labadarios D; Karki KB; Kagaruki GB; Jorgensen JMA; Hwalla NC; Houinato D; Houehanou C; Msaidié M; Guwatudde D; Gurung MS; Gathecha G; Dorobantu M; Damasceno A; Bovet P; Bicaba BW; Aryal KK; Andall-Brereton G; Agoudavi K; Stokes A; Davies JI; Bärnighausen T; Atun R; Vollmer S; Jaacks LM
Lancet; 2019 Aug; 394(10199):652-662. PubMed ID: 31327566
[TBL] [Abstract][Full Text] [Related]
18. Health inequalities in hypertension and diabetes management among the poor in urban areas: a population survey analysis in south Korea.
Jeon YJ; Kim CR; Park JS; Choi KH; Kang MJ; Park SG; Park YJ
BMC Public Health; 2016 Jun; 16():492. PubMed ID: 27286953
[TBL] [Abstract][Full Text] [Related]
19. Urbanization and Socioeconomic Disparities in Hypertension among Older Adult Women in Sudan.
Osman S; Costanian C; Annan NB; Fouad FM; Jaffa M; Sibai AM
Ann Glob Health; 2019 Mar; 85(1):. PubMed ID: 30873810
[TBL] [Abstract][Full Text] [Related]
20. Prevalence of Body Mass Index Lower Than 16 Among Women in Low- and Middle-Income Countries.
Razak F; Corsi DJ; Slutsky AS; Kurpad A; Berkman L; Laupacis A; Subramanian SV
JAMA; 2015 Nov; 314(20):2164-71. PubMed ID: 26599184
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]