Literature DB >> 11914327

Distribution of blood pressure, body mass index and smoking habits in the urban population of Dar es Salaam, Tanzania, and associations with socioeconomic status.

Pascal Bovet1, Allen G Ross, Jean-Pierre Gervasoni, Mashombo Mkamba, Deo M Mtasiwa, Christian Lengeler, David Whiting, Fred Paccaud.   

Abstract

OBJECTIVE: To estimate the distribution of blood pressure (BP), body mass index (BMI), smoking habits and their associations with socioeconomic status (SES) in an urban population in early epidemiological transition.
METHODS: Cross-sectional survey of the entire population aged 25-64 years in five branches of Dar es Salaam (Tanzania) through visits to all homes in the study area. Blood pressure was based on the mean of the second and third readings with an automated device. Socioeconomic status was estimated with indicators of education, occupation and wealth.
RESULTS: In all 9254 people were examined. Age-adjusted prevalence (%) among men/ women aged 35-64 years was 27.1/30.2 for BP > or = 140/90 mmHg or antihypertensive medication, 13.1/17.7 for BP > or = 160/95 mmHg or antihypertensive medication, 28.0/27.4 for BMI of 25.0-29.9 kg/m(2), 6.9/17.4 for BMI > or = 30 kg/m(2), and 22.0/2.6 for smoking (> or = 1 cigarette per day). Prevalence of categories of drinking frequency and history of diabetes are also reported. After adjustment for covariates, SES was associated inversely with BP and smoking and directly with BMI. Body mass index was associated positively with BP (1.01 and 0.91 mmHg systolic BP per 1 kg/m(2) BMI in men and women, respectively) and inversely with smoking (-1.14 kg/m(2) in male smokers versus non-smokers). Hypertension treatment rates were low, particularly in people of low SES.
CONCLUSIONS: High prevalence of several cardiovascular risk factors in the urban population of a low-income country stresses the need for early public health interventions and adaptation of the health care infrastructure to meet the emerging challenge of cardiovascular disease. The direct SES-BMI association may drive increasing BMI and BP while the population becomes more affluent.

Entities:  

Mesh:

Year:  2002        PMID: 11914327     DOI: 10.1093/ije/31.1.240

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  68 in total

1.  Difference in blood pressure readings with mercury and automated devices: Impact on hypertension prevalence estimates in Dar es Salaam, Tanzania.

Authors:  Arnaud Chiolero; Jean-Pierre Gervasoni; Anne Rwebogora; Marianna Balampama; Fred Paccaud; Pascal Bovet
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4.  Factors associated with awareness, treatment and control of hypertension in a disadvantaged rural Indian population.

Authors:  D Busingye; S Arabshahi; R G Evans; V K Srikanth; K Kartik; K Kalyanram; M A Riddell; X Zhu; O Suresh; A G Thrift
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5.  Socioeconomic position and later life prevalence of hypertension, diabetes and visual impairment in Nakuru, Kenya.

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7.  Population based prevalence of high blood pressure among adults in Addis Ababa: uncovering a silent epidemic.

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Journal:  BMC Cardiovasc Disord       Date:  2009-08-23       Impact factor: 2.298

8.  Gender and locality differences in tobacco prevalence among adult Bangladeshis.

Authors:  M S Flora; C G N Mascie-Taylor; M Rahman
Journal:  Tob Control       Date:  2009-08-13       Impact factor: 7.552

9.  Gender-related differences in the prevalence of cardiovascular disease risk factors and their correlates in urban Tanzania.

Authors:  Marina A Njelekela; Rose Mpembeni; Alfa Muhihi; Nuru L Mligiliche; Donna Spiegelman; Ellen Hertzmark; Enju Liu; Julia L Finkelstein; Wafaie W Fawzi; Walter C Willett; Jacob Mtabaji
Journal:  BMC Cardiovasc Disord       Date:  2009-07-17       Impact factor: 2.298

10.  Hypertensive target organ damage in Ghanaian civil servants with hypertension.

Authors:  Juliet Addo; Liam Smeeth; David A Leon
Journal:  PLoS One       Date:  2009-08-18       Impact factor: 3.240

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