- Research article
- Open Access
Heavy burden of non-communicable diseases at early age and gender disparities in an adult population of Burkina Faso: world health survey
BMC Public Health volume 12, Article number: 24 (2012)
WHO estimates suggest that age-specific death rates from non-communicable diseases are higher in sub-Saharan Africa than in high-income countries. The objectives of this study were to examine, in Burkina Faso, the prevalence of non-communicable disease symptoms by age, gender, socioeconomic group and setting (rural/urban), and to assess gender and socioeconomic inequalities in the prevalence of these symptoms.
We obtained data from the Burkina Faso World Health Survey, which was conducted in an adult population (18 years and over) with a high response rate (4822/4880 selected individuals). The survey used a multi-stage stratified random cluster sampling strategy to identify participants. The survey collected information on socio-demographic and economic characteristics, as well as data on symptoms of a variety of health conditions. Our study focused on joint disease, back pain, angina pectoris, and asthma. We estimated prevalence correcting for the sampling design. We used multiple Poisson regression to estimate associations between non-communicable disease symptoms, gender, socioeconomic status and setting.
The overall crude prevalence and 95% confidence intervals (CI) were: 16.2% [13.5; 19.2] for joint disease, 24% [21.5; 26.6] for back pain, 17.9% [15.8; 20.2] for angina pectoris, and 11.6% [9.5; 14.2] for asthma. Consistent relationships between age and the prevalence of non-communicable disease symptoms were observed in both men and women from rural and urban settings. There was markedly high prevalence in all conditions studied, starting with young adults. Women presented higher prevalence rates of symptoms than men for all conditions: prevalence ratios and 95% CIs were 1.20 [1.01; 1.43] for joint disease, 1.42 [1.21; 1.66] for back pain, 1.68 [1.39; 2.04] for angina pectoris, and 1.28 [0.99; 1.65] for asthma. Housewives and unemployed women had the highest prevalence rates of non-communicable disease symptoms.
Our work suggests that social inequality extends into the distribution of non-communicable diseases among social groups and supports the thesis of a differential vulnerability in Burkinabè women. It raises the possibility of an abnormally high rate of premature morbidity that could manifest as a form of premature aging in the adult population. Increased prevention, screening and treatment are needed in Burkina Faso to address high prevalence and gender inequalities in non-communicable diseases.
The steady rise in non-communicable diseases (NCDs) worldwide is a key challenge on the global health agenda. Not only are chronic pathologies the leading cause of mortality globally, but they represent an increasing burden of morbidity and mortality in the developing world . World Health Organization (WHO) estimates show that age-specific death rates from non-communicable diseases are already higher in sub-Saharan Africa (SSA) than in established market economies . Moreover, overall mortality rates are higher in low- and middle-income countries (LMIC) than in high-income countries (HIC) .
NCDs increasingly take their toll in Western Africa in the form of cardiovascular diseases and pulmonary pathologies. The prevalence of asthma on the African continent has been estimated at 10.4% [3, 4], and a similar rate of 9.6% was observed in a population aged 15 to 64 years in the urban setting of Bobo-Dioulasso, Burkina Faso . The prevalence of hypertension in an urban setting of Burkina Faso was estimated at 23% among adults aged 18 years or older . The rise in NCDs has been attributed to rapid urbanization, sedentary lifestyles, global marketing of tobacco and food, and population aging . In fact, economic growth, market integration, foreign direct investments and urbanization are driving long-term changes in mortality due to cardiovascular diseases and other NCDs, and their influence in LMICs is roughly three times stronger than that of population aging .
In spite of worldwide recognition that NCDs are a growing health problem that will hinder LMICs' social development and economic growth, few population-based studies are available to estimate their prevalence and distribution by age, gender, social group or urban/rural setting. In addition, while the literature clearly describes social differentials in health and presents conclusive and repeated evidence that the burden of illness falls disproportionately on women and the poor [9–12], little is known about the scope of these inequalities with respect to NCDs, particularly in sub-Saharan Africa. Because women have less wealth, are more likely to be uneducated and have higher burdens of work [13, 14], all deriving from structures that shape gender and economic inequality, we can also expect to observe gender-related disparities, with higher prevalence of NCDs in women than in men. In fact, in 2004, the estimated proportional mortality from all NCDs in Burkina Faso was 24.7% for men and 27.6% for women . Drawing upon data on Burkina Faso in the World Health Survey (WHS), a population-based household survey, our aim in this study was to describe the prevalence of NCD symptoms by age, gender, socioeconomic group and rural/urban setting, and to assess gender and socioeconomic differences in the prevalence of these symptoms.
We obtained data from the WHS conducted by the WHO and local collaborative partners in all world regions starting in 2001 (available from WHO on request). Of the 70 countries surveyed, 18 were in the African region. Our study focused on the eligible adult population (18 years and over) of Burkina Faso. The WHS used multi-stage stratified random cluster sampling strategy to identify participants. Their sampling strategy consisted of stratifying the population by gender, age and setting (rural/urban). Individuals were sampled from these strata, and each respondent was given a sampling probability value. Using a Kish table, one adult 18 years or older was selected from each randomly selected household to undergo an individual, face-to-face interview using a standardized questionnaire. Questions were aimed at identifying socio-demographic and economic characteristics as well as symptoms of chronic diseases, including joint disease, back pain, angina pectoris and asthma. Informed consent was obtained from all participants. The individual response rate was 98%, and the highest percentage of missing data for an individual variable was 0.7%, leaving us with a sample of 4822 participants for the final analysis.
Four outcome variables were identified based on chronic disease items from the WHS. The questionnaire included 46 NCD-related questions investigating symptoms and known diagnoses of NCD. The use of symptom questions for diagnosing chronic diseases was previously validated in a diagnostic item probability study implemented in 2003 by WHO in seven countries .
We selected the reported symptoms corresponding to four NCD conditions: joint disease, back pain, angina pectoris and asthma. These conditions are all associated with lower quality of life, high medical and non-medical care costs, and loss of productivity, and together they account for a large proportion of mortality [1–3, 17, 18]. We chose these diseases because, unlike diabetes, for instance, they have specific and more easily recognizable symptoms that are useful to estimate the burden of disease in the absence of medical diagnoses. We excluded important and frequent non-communicable disease symptomatologies such as hypertension and diabetes from the WHS because of the lack of specific symptoms in the earlier stages of disease. For the four conditions studied, participants were asked if they had experienced symptoms during the past 12 months, such as, in the case of joint disease: pain, aching, stiffness or swelling in or around a joint not related to injury and lasting for more than a month (yes/no). Answers for all four NCD symptoms (joint disease, back pain, angina pectoris and asthma) were dichotomized as the presence or absence of self-reported symptoms.
Gender, age (18-24, 25-34, 35-44, 45-54, 55-64, 65 years and older) and rural or urban setting were the main socio-demographic variables of interest. Three socioeconomic characteristics were determined by the respondents: 1) education (lack of schooling; some formal schooling); 2) occupation, defined as unemployed, homemaker/caring for family, agriculture/fishery worker, manual worker (machine operator, service or sale, craft or trades, street vendor), or non-manual worker; and 3) annual household income, based on self-reported expenditure on food, housing, health care costs and all other goods and services in the past four weeks. Income was approximated by household annual consumption per capita. We used the poverty line (PL) for Burkina Faso in 2003  to create four income categories: 1) poorest, with annual income less than one-half of the poverty line (< PL/2); 2) below the poverty line but above the poorest (≥ PL/2, < PL); 3) above, but less than double, the poverty line (≥ PL, < 2 × PL); and 4) more than double the poverty line (≥ 2 × PL).
First we examined the distribution of the socio-demographic and economic variables by gender and by urban and rural settings. We then estimated the crude prevalence and 95% confidence intervals (CI) for each of the NCDs and reported them by age, gender and setting. Crude prevalence ratios and chi-squared test results were also reported according to socioeconomic groups. Next, we constructed Poisson regression models  to examine the prevalence ratios of NCDs according to gender. We created a crude model and then successive full models. Socioeconomic variables were included in models by set, as explanatory variables for gender-health relationships. We tested all interactions of gender with socioeconomic variables to assess possible differential vulnerability to NCD symptoms by gender according to social conditions. The final stage of analysis consisted of four sets of Poisson regression models for each set of symptoms as the outcome.
Model building was preceded by including all independent variables that were univariate predictors of NCD symptomatology at p-value ≤ 0.05. In a subsequent step, variables that were not predictors were entered into the final model one at a time and retained as multivariate predictors if p ≤ 0.05. Reported p-values of ≤ 0.05 were considered statistically significant. Analyses were conducted with Stata statistical software (version 11) where individual data were corrected for the complex sampling design using the survey commands for weights.
Sample characteristics and prevalence rates
The demographic and socioeconomic characteristics of the sample are presented in Table 1. The youngest group, 18-24 years old, was more concentrated in urban settings, with a higher concentration of women (30.6%) than men (23.4%). Homemaker was the main occupation for women, whereas manual worker or agriculture/fishery worker was most common for men. The overall crude prevalence and 95% CI for NCD symptoms were: 16.2% [13.5; 19.2] for joint disease, 24% [21.5; 26.6] for back pain, 17.9% [15.8; 20.2] for angina pectoris, and 11.6% [9.5; 14.2] for asthma. Higher prevalence of symptoms of joint disease, back pain, and angina pectoris were reported in the rural population, whereas asthma symptoms were more prevalent in the urban population (Figure 1). Table 2 presents the crude prevalence of NCD symptoms across social groups. Back pain symptoms were more often reported by educated respondents, whereas asthma symptoms were more prevalent among the non-educated. A convergent pattern was observed across occupational groups: a health gradient was noticed for all symptoms, with the highest prevalence rates being observed among the unemployed and homemakers. No clear pattern emerged from the study of the association between crude prevalence rates and household income.
Gender gaps and early onset of NCD symptoms
Independent of setting, women reported more symptoms than men for all four NCDs. This difference was more pronounced in middle-aged groups, especially for back pain and angina pectoris symptoms. Prevalence rates of over 5% for all NCD symptoms were reported even in the youngest population of 18-24 years old (Figure 1) and increased steeply at middle age, affecting the most economically productive population.
Women were more apt than men to report symptoms for all four NCDs, with the greatest difference seen in symptoms of angina pectoris (prevalence ratio = 1.68; CI = 1.39-2.04). The prevalence ratio for angina pectoris remained almost unchanged after the inclusion of socioeconomic factors (OR = 1.64; CI = 1.39-1.94) (Table 3).
Gender and occupation interaction
Occupation was the only socioeconomic indicator that significantly modified the association between gender and NCD symptoms (Figure 2). Homemakers and unemployed female workers were more apt to report joint disease, back pain, and asthma symptoms than were male manual workers. With the exception of joint disease symptoms in male non-manual and agricultural workers and back pain in male agricultural workers, women had higher prevalence rates of NCDs than did men for all occupation categories, and these differences were greatest among the unemployed.
Other risk factors
Age was consistently associated with all health conditions as an independent risk factor, whereas urban setting was strongly associated with angina pectoris symptoms (Table 3). Moreover, people who reported having had formal education were more apt to present asthma symptoms than those without any formal education. People living in the second poorest group had significantly higher prevalence of back pain (PR = 1.19; 95% CI = 1.02; 1.39) and angina pectoris (PR = 1.24; 95% CI = 1.01; 1.53) symptoms than did those living in extreme poverty. Back pain symptoms were also significantly more frequent in the wealthiest group (PR = 1.50; 95% CI = 1.06; 2.11) compared to the extremely poor category.
Changing patterns in the causes of mortality and morbidity in low- and middle-income countries constitute one of the most important challenges on the global health agenda. Sub-Saharan Africa is doubly disadvantaged by the persistence of diseases of the pre-transition era--infectious disease conditions still account for two-thirds of deaths in sub-Saharan Africa  -- and the concurrent emergence of the heavy burden related to non-communicable diseases. This dual burden of disease [22–24] is a considerable challenge to the countries' health systems. Our analyses show, first, that Burkina Faso, one of the poorest countries on the continent, is already facing the burden of NCDs. The overall prevalences of joint disease and back pain in our study were similar (16.2% [13.5; 19.2] and 24% [21.5; 26.6], respectively) to estimates reported in a comparative study on the prevalence of chronic pain conditions in developing countries . The prevalence of asthma symptoms is also comparable (11.6% [9.5; 14.2]) to overall estimates for Africa  and to a previous study in Burkina Faso . Finally, 17.9% [15.8; 20.2] of the adults who participated in the WHS reported angina pectoris-like symptoms; we did not find population estimates in the literature that would help correlate our results with comparable sub-Saharan populations. However, a previous study conducted in an urban setting in Burkina Faso found that the prevalence of hypertension, a known risk factor for angina pectoris, was about 23% among adults .
Our observations show a consistent relationship between age and the prevalence of NCD symptoms. However, the significance of this is paralleled by what appears, in terms of health conditions, to be evidence of early aging in the adult population. A markedly high prevalence for all studied conditions was present in young adults, suggesting early onset of NCDs and premature health decline in this population. Joint disease and back pain were unexpectedly high among the youngest, and their frequency increased steeply with age up to a prevalence of over 50% starting in the group aged 55-64 years. These observations converge with those of other studies suggesting that NCDs are both more lethal and developing at earlier ages in sub-Saharan Africa [2, 21, 26, 27]. For example, in a study by Baingana et al., half of cardiovascular disease deaths occurred among people 30 to 69 years of age, which is 10 or more years younger than in more developed regions . Similar trends have been reported in Tanzania  and South Asia . In India, 52% of cardiovascular deaths occur before the age of 70 years, whereas the rate in established market economies is only 23% . Rheumatoid arthritis (RA) symptoms seem to occur nearly 10 years earlier in LMICs than in Caucasian populations in the United States and Europe [30, 31]. In a South African study, the prevalence of RA among adults 40 years old was significantly higher in native African populations than in people of European origin [31, 32]. Asthma in Africa is also more prevalent in adults younger than 40 years of age .
Age is the primary predictor of chronic illness survival, and aging explains the growth in prevalence of NCDs globally . However, the aging process does not affect all the world's peoples in the same way . The sources of the differential vulnerability of people living in resource-poor countries and the mechanisms that sustain it are still obscure. The lack of sufficient evidence is exacerbated by the facts that: 1) almost all studies on risk factors for NCDs--particularly cardiovascular diseases--have been carried out in developed countries; 2) it is uncertain to what extent the results of these studies can be directly generalized to the LMIC context [2, 24]; and 3) environmental factors could have a significant influence [2, 24]. Chronic stress, repeated exposure to infectious diseases and chronic inflammation caused by harsh living conditions might all play a key role in the premature aging of organs and body systems and, ultimately, in the incidence of NCDs .
In its recent report on NCDs, WHO  reported that poor and disadvantaged populations were more exposed globally to behavioural risks that lead to NCDs. Studies in Asia and Latin America, in particular, have demonstrated the existence of significant associations in LMICs between the prevalence of NCDs and socioeconomic status, especially level of education [35–40]. These associations were not seen in our study in Burkina Faso; education did not appear to have a protective effect on NCDs symptoms, and no pattern emerged from the study of any reported prevalence by income level. In fact, these results are not really surprising in the particular context of Burkina Faso, a sub-Saharan African country with a double burden [2, 41, 42] of infectious and chronic diseases. In many SSA countries, health inequality remains anchored in social inequality, but is caused also by changes in lifestyles and diet in all social classes , particularly among residents of cities and members of advantaged groups. NCDs are thus the product of a complex combination of forces and determinants, and they affect, depending on the circumstances, both disadvantaged and more advantaged classes. This explains the contradictory results reported by studies examining the relationship, in SSA, between socioeconomic status and the presence of NCDs or of their risk factors, such as obesity, hypertension, or metabolic syndrome. Some have reported greater exposure to risk and higher prevalence of NCDs among the poor [35, 44, 45], while others have reported more pronounced vulnerability among the elite, the middle classes, and city residents [45–49]. WHO and the research community have highlighted the need for more research to better understand the complex interrelationship between NCDs and socioeconomic status [35, 43]. There is also evidence that NCDs take a heavier toll on women than on men, and that in this area as in others, women are considerably more exposed to illness and have worse prognoses . It has been suggested that the incidence of chronic diseases in old age is related to life course adversities . Because of their social disadvantage and differential exposure to risk factors [51–53], women are apt to accumulate life course socioeconomic adversities that will be translated into adverse health outcomes. Our observations tend to support the idea that women are subject to greater differential vulnerability than men in terms of NCDs. Gender differences were quite large and significant in our study. Women more often reported symptoms of all four conditions. Differences did not disappear after adjustment for socioeconomic characteristics. When gender and occupation were considered jointly, housewives and unemployed women systematically and significantly remained the group with the highest prevalence rates.
The WHS offer a unique opportunity to obtain population-based estimates of the level and distribution of NCD markers in a resource-poor country such as Burkina Faso. However, because of its cross-sectional design, a cause-effect relationship cannot be inferred. Moreover, measures rely on respondents' answers to a checklist of chronic health conditions , and morbidity estimates are ultimately based on self-reported symptoms, an approach whose appropriateness has been extensively debated. A first limitation of this approach resides in the risk of misclassification due to respondents' reporting [55, 56]. Memory and social desirability biases can affect peoples' responses , and reports might be sensitive to income, literacy or personal expectations [58, 59]. The convergence of self-reported data and medical record diagnoses might also vary with the medical conditions investigated [60, 61]. A second limitation lies in the common underestimation of the prevalence of medical conditions and risky behaviours [59, 62–65]. This underestimation occurs most often in advanced stages of occult disease, or when disease symptomatology is not recognized as representing an unusual threat to a person's health . It most often affects the most socially disadvantaged people, resulting in an underestimation of the social gradient of morbidity . It is also most frequent in the absence of health services utilization .
These limitations call for cautious interpretation of surveys based on self-reported measures. However, these limitations should not discourage the use of such surveys. First, despite their limitations, the predictive validity of self-reported symptoms is often acceptable and the observed prevalence estimates are generally reasonable and consistent over time , particularly when the survey deals with symptoms that are clear and evocative [60, 61]. Others consider WHS self-reported measures to be acceptable for within-country analyses in resource-poor countries . Second, with respect to all surveys, including those of the health examination type, there is still no gold standard approach to estimate the burden of morbidity of the NCDs in this study . Finally, and most importantly, national survey data in both poor [55, 56] and industrialized countries  provide a unique means of assessing the needs of populations and vulnerable groups, and for planning support services and resource allocation . In fact, health interview surveys have been widely used to measure morbidity in developing countries [55, 70] because, in terms of their feasibility, costs and the amount of information they provide, their benefits far outweigh their drawbacks.
None of the Millennium Development Goals make reference to NCDs. Because of this oversight, governments and the international community have paid little attention to major issues in transforming the post-transition morbidity profiles of African societies. However, these morbidity profiles can be assessed at the population level through the World Health Surveys, from which the amplitude of NCD symptoms can be appreciated. Our work suggests that social inequality extends into the distribution of NCDs among social groups, and supports the thesis of a differential vulnerability in Burkinabè women. It raises the disturbing possibility of an abnormally high rate of premature morbidity that could manifest as a form of premature aging in the adult population. Finally, our work supports the need for sustained commitment to research on population issues related to NCDs in resource-poor countries. The economic and health-related stakes, in terms of both chronic illnesses in general and their premature occurrence in particular, are potentially very high. We believe it is essential, with the help of large population studies, to characterize the distribution of NCDs more precisely across all social and age gradients. Second, more research is necessary to uncover the gender features and understand the sources of women's differential vulnerability to chronic diseases. Third, the question of the alleged premature aging should be at the centre of this research agenda. We need to understand the processes that control the aging of social groups and the underlying causes of the vulnerability of people living in LMICs, and especially the differential vulnerability of specific groups. Finally, health policies should be informed by an estimate of the social burden caused by premature morbidity and its effects on healthcare systems that are struggling to meet their populations' basic needs and are already very fragile.
WHO: The Global Burden of Disease: 2004 Update. 2008, Geneva: World Health Organization
Unwin N, Setel P, Rashid S, Mugusi F, Mbanya JC, Kitange H, Hayes L, Edwards R, Aspray T, Alberti KG: Noncommunicable diseases in sub-Saharan Africa: where do they feature in the health research agenda?. Bull World Health Organ. 2001, 79 (10): 947-953.
WHOSIS: Age-standardized Mortality Rates (Per 100,000 Population) by Cause. Geneva: World Health Organization Statistical Information System, [http://www.who.int/whosis/indicators/mortagestandardized/en/index.html]
Aĩt-Khaled N, Enarson D, Bousquet J: Chronic respiratory diseases in developing countries: the burden and strategies for prevention and management. Bull World Health Organ. 2001, 79 (10): 971-979.
Miningou SD, Zoubga AZ, Meda H, Meda N, Tiendrebeogo H: Prevalence of asthma in subjects aged 15-64 years in Bobo-Dioulasso (Burkina Faso) in 1998. Rev Pneumol Clin. 2002, 58 (6 Pt 1): 341-345.
Niakara A, Nebie LV, Zagre NM, Ouedraogo NA, Megnigbeto AC: [Knowledge of an urban population about arterial hypertension: prospective study carried out in Ouagadougou, Burkina Faso]. Bull Soc Pathol Exot. 2003, 96 (3): 219-222.
Smith SM, Mensah G: Population aging and implications for epidemic cardiovascular disease in Sub-Saharan Africa. Ethn Dis. 2003, 13 (2 Suppl 2): S77-S80.
Stuckler D: Population causes and consequences of leading chronic diseases: a comparative analysis of prevailing explanations. Milbank Q. 2008, 86 (2): 273-326. 10.1111/j.1468-0009.2008.00522.x.
Ahmed SM, Adams AM, Chowdhury M, Bhuiya A: Gender, socioeconomic development and health-seeking behaviour in Bangladesh. Soc Sci Med. 2000, 51 (3): 361-371. 10.1016/S0277-9536(99)00461-X.
Wagstaff A: Poverty and health sector inequalities. Bull World Health Organ. 2002, 80 (2): 97-105.
Moss NE: Gender equity and socioeconomic inequality: a framework for the patterning of women's health. Soc Sci Med. 2002, 54 (5): 649-661. 10.1016/S0277-9536(01)00115-0.
Gwatkin DR, Rutstein S, Johnson K, Suliman E, Wagstaff A, Amozou A: Socio-Economic Differences in Health, Nutrition, and Population Within Developing Countries: An Overview. 2007, Washington DC: Health, Nutrition and Population-Human Development Network, The World Bank
Bates LM, Hankivsky O, Springer KW: Gender and health inequities: a comment on the Final Report of the WHO Commission on the Social Determinants of Health. Soc Sci Med. 2009, 69 (7): 1002-1004. 10.1016/j.socscimed.2009.07.021.
Sen G, Östlin P: Gender inequity in health: why it exists and how we can change it. Glob Public Health. 2008, 3 (1 Suppl 1): 1-12.
WHO: Country health profile-Burkina Faso. [http://www.who.int/countries/bfa/en/]
Moussavi S, Chatterji S, Verdes E, Tandon A, Patel V, Ustun B: Depression, chronic diseases, and decrements in health: results from the World Health Surveys. Lancet. 2007, 370 (9590): 851-858. 10.1016/S0140-6736(07)61415-9.
Abad FHH, Hamedan MS: Comparison of attitudes regarding quality if life between Insulin-Treated Subjects with Diabetes Mellitus and Healthy Populations. Diabetes Metab J. 2011, 35 (4): 397-403. 10.4093/dmj.2011.35.4.397.
Waynne-Jones G, Main CJ: Overcoming pain as barrier to work. Current Opinion in Supportive and Palliative Care. 2011, 5 (2): 131-136. 10.1097/SPC.0b013e3283460b3a.
INSD: Burkina Faso-La pauvreté en 2003. 2003, Ouagadougou: Ministère de l'économie et du dévéloppement-Institut national de la statistique et de la Démographie
Barros AJD, Hirakata VN: Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the prevalence ratio. BMC Med Res Methodol. 2003, 3 (1): 21-10.1186/1471-2288-3-21.
Lopez AD, Mathers CD, Ezzati M, Jamison DT, Murray CJ: Global and regional burden of disease and risk factors, 2001: systematic analysis of population health data. Lancet. 2006, 367 (9524): 1747-1757. 10.1016/S0140-6736(06)68770-9.
Boutayeb A: The double burden of communicable and non-communicable diseases in developing countries. Trans R Soc Trop Med Hyg. 2006, 100 (3): 191-199. 10.1016/j.trstmh.2005.07.021.
Amuna P, Zotor F: Epidemiological and nutrition transition in developing countries: impact on human health and development. Proc Nutr Soc. 2008, 67 (1): 82-90. 10.1017/S0029665108006058.
Miranda JJ, Kinra S, Casas JP, Davey Smith G, Ebrahim S: Non-communicable diseases in low- and middle-income countries: context, determinants and health policy. Trop Med Int Health. 2008, 13 (10): 1125-1134.
Tsang A, Von Korff M, Lee S, Alonso J, Karam E, Angermeyer MC, Borges GL, Bromet EJ, Demytteneare K, de Girolamo G, de Graaf R, Gureje O, Lepine JP, Haro JM, Levinson D, Oakley Browne MA, Posada-Villa J, Seedat S, Watanabe M: Common chronic pain conditions in developed and developing countries: gender and age differences and comorbidity with depression-anxiety disorders. J Pain. 2008, 9 (10): 883-891. 10.1016/j.jpain.2008.05.005.
Global Burden of Disease and Risk Factors. Edited by: Lopez AD, Mathers CD, Ezzati M, Jamison DT, Murray CJL. 2006, New York: Oxford University Press, and Washington DC: The World Bank
Baingana FK, Bos ER: Changing patterns of disease and mortality in sub-Saharan Africa. Disease and Mortality in Sub-Saharan Africa. Edited by: Jamison DT, Feachem RG, Makgoba MW, Bos ER, Baingana FK, Hofman KJ, Rogo KO. 2006, Washington DC: The World Bank
Sharma M, Ganguly NK: Premature coronary artery disease in Indians and its associated risk factors. Vasc Health Risk Manag. 2005, 1 (3): 217-225.
Ghaffar A, Reddy KS, Singhi M: Burden of non-communicable diseases in South Asia. BMJ. 2004, 328 (7443): 807-810. 10.1136/bmj.328.7443.807.
Massardo L, Aguirre V, Garcia ME, Cervila V, Nicovani S, Gonzalez A, Rivero S, Jacobelli S: Clinical expression of rheumatoid arthritis in Chilean patients. Semin Arthritis Rheum. 1995, 25 (3): 203-213. 10.1016/S0049-0172(95)80032-8.
Mody GM, Cardiel MH: Challenges in the management of rheumatoid arthritis in developing countries. Best Pract Res Clin Rheumatol. 2008, 22 (4): 621-641. 10.1016/j.berh.2008.04.003.
Tikly M, Zanettou N, Hopley M: A longitudinal study of rheumatoid arthritis in South Africans. MedGenMed. 2003, 5 (1): 2-
Nilsson PM: Premature ageing: the link between psychosocial risk factors and disease. Med Hypotheses. 1996, 47 (1): 39-42. 10.1016/S0306-9877(96)90041-9.
Wjst M, Boakye D: Asthma in Africa. PLoS Med. 2007, 4 (2): e72-10.1371/journal.pmed.0040072.
WHO: Global Status Report on Noncommunicable Diseases 2010. 2011, Geneva: World Health Organization
Hoang VM, Dao LH, Wall S, Nguyen TK, Byass P: Cardiovascular disease mortality and its association with socioeconomic status: findings from a population-based cohort study in rural Vietnam, 1999-2003. Prev Chronic Dis. 2006, 3 (3): A89-
Jhingan HP, Shyangwa P, Sharma A, Prasad KM, Khandelwal SK: Prevalence of alcohol dependence in a town in Nepal as assessed by the CAGE questionnaire. Addiction. 2003, 98 (3): 339-343. 10.1046/j.1360-0443.2003.00301.x.
Monteiro CA, Conde WL, Popkin BM: Income-specific trends in obesity in Brazil: 1975-2003. Am J Public Health. 2007, 97 (10): 1808-1812. 10.2105/AJPH.2006.099630.
Reddy KS, Prabhakaran D, Jeemon P, Thankappan KR, Joshi P, Chaturvedi V, Ramakrishnan L, Ahmed F: Educational status and cardiovascular risk profile in Indians. Proc Natl Acad Sci. 2007, 104 (41): 16263-16268. 10.1073/pnas.0700933104.
Yang W, Lu J, Weng J, Jia W, Ji L, Xiao J, Shan Z, Liu J, Tian H, Ji Q, Zhu D, Ge J, Lin L, Chen L, Guo X, Zhao Z, Li Q, Zhou Z, Shan G, He J, China National Diabetes and Metabolic Disorders Study Group: Prevalence of diabetes among men and women in China. N Engl J Med. 2010, 362 (12): 1090-1101. 10.1056/NEJMoa0908292.
Cooper RS, Rotimi CN, Kaufman JS, Muna WF, Mensah GA: Hypertension treatment and control in sub-Saharan Africa: the epidemiological basis for policy. BMJ. 1998, 316 (7131): 614-617. 10.1136/bmj.316.7131.614.
de-Graft Aikins A, Unwin N, Agyemang C, Allotey P, Campbell C, Arhinful D: Tackling Africa's chronic disease burden: from the local to the global. Global Health. 2010, 6 (1): 5-
Agyei-Mensah S, de-Graft Aikins A: Epidemiological transition and the double burden of disease in Accra, Ghana. J Urban Health. 2010, 87 (5): 879-897. 10.1007/s11524-010-9492-y.
Poverty and Chronic Diseases in South Africa. Edited by: Bradshaw D, Steyn K. 2001, MRC Technical Report. Cape Town: Medical Research Council of South Africa and World Health Organization
Vorster HH: The emergence of cardiovascular disease during urbanisation of Africans. Public Health Nutr. 2002, 5 (1A): 239-243.
Vorster HH, Venter CS, Wissing MP, Margetts BM: The nutrition and health transition in the North West Province of South Africa: a review of the THUSA (Transition and Health during Urbanisation of South Africans) study. Public Health Nutr. 2005, 8 (5): 480-490.
van Rooyen JM, Kruger HS, Huisman HW, Schutte AE, Malan NT, Schutte R: Early cardiovascular changes in 10- to 15-year-old stunted children: the Transition and Health during Urbanization in South Africa in Children study. Nutrition. 2005, 21 (7-8): 808-814. 10.1016/j.nut.2004.12.007.
Ntandou G, Delisle H, Agueh H, Fayomi B: Abdominal obesity explains the positive rural-urban gradient in the prevalence of the metabolic syndrome in Benin, West Africa. Nutr Res. 2009, 29 (3): 180-189. 10.1016/j.nutres.2009.02.001.
Fezeu L, Minkoulou E, Balkau B, Kengne AP, Awah P, Unwin N, Alberti GK, Mbanya JC: Association between socioeconomic status and adiposity in urban Cameroon. Int J Epidemiol. 2006, 35 (1): 105-111.
Ben-Shlomo Y, Kuh D: A life course approach to chronic disease epidemiology: conceptual models, empirical challenges and interdisciplinary perspectives. Int J Epidemiol. 2002, 31 (2): 285-293. 10.1093/ije/31.2.285.
Zunzunegui M-V, Alvarado B-E, Béland F, Vissandjee B: Explaining health differences between men and women in later life: A cross-city comparison in Latin America and the Caribbean. Soc Sci Med. 2009, 68 (2): 235-242. 10.1016/j.socscimed.2008.10.031.
Alvarado BE, Zunzunegui M-V, Béland F, Bamvita JM: Life course social and health conditions linked to frailty in Latin American older men and women. J Gerontol A Biol Sci Med Sci. 2008, 63 (12): 1399-1406. 10.1093/gerona/63.12.1399.
Zhang Z: Gender differentials in cognitive impairment and decline of the oldest old in China. J Gerontol B Psychol Sci Soc Sci. 2006, 61 (2): S107-S115. 10.1093/geronb/61.2.S107.
Üstün TB, Chatterji S, Villanueva M, Bendib L, Çelik C, Sadana R, Valentine N, Ortiz J, Tandon A, Salomon J, Cao Y, Xie WJ, Özaltin E, Mathers C, Murray CJL: WHO Multi-country Survey Study on Health and Responsiveness 2000-2001. 2001, Geneva: World Health Organization, GPE Discussion Paper 37
Kroeger A: Health interview surveys in developing countries: a review of the methods and results. Int J Epidemiol. 1983, 12 (4): 465-481. 10.1093/ije/12.4.465.
Carlson BA: The potential of national household survey programmes for monitoring and evaluating primary health care in developing countries. World Health Stat Q. 1985, 38 (1): 38-64.
Cory S, Ussery-Hall A, Griffin-Blake S, Easton A, Vigeant J, Balluz L, Garvin W, Greenlund K, Centers for Disease Control and Prevention: Prevalence of selected risk behaviors and chronic diseases and conditions-steps communities, United States, 2006-2007. MMRW Surveill Summ. 2010, 59: 1-37.
Sen A: Health: perception versus observation. BMJ. 2002, 324 (7342): 860-861. 10.1136/bmj.324.7342.860.
Johnston DW, Propper C, Shields MA: Comparing subjective and objective measures of health: evidence from hypertension for the income/health gradient. J Health Econ. 2009, 28 (3): 540-552. 10.1016/j.jhealeco.2009.02.010.
Smith B, Chu LK, Smith TC, Amoroso PJ, Boyko EJ, Hooper TI, Gackstetter GD, Ryan MAK, Millenium Cohort Study Team: Challenges of self-reported medical conditions and electronic medical records among members of a large military cohort. BMC Med Res Methodol. 2008, 8 (1): 37-10.1186/1471-2288-8-37.
Leikauf J, Federman AD: Comparisons of self-reported and chart-identified chronic diseases in inner-city seniors. J Amer Geriatr Soc. 2009, 57 (7): 1219-1225. 10.1111/j.1532-5415.2009.02313.x.
Bowlin SJ, Morrill BD, Nafziger AN, Jenkins PL, Lewis C, Pearson TA: Validity of cardiovascular disease risk factors assessed by telephone survey: the behavioral risk factor survey. J Clin Epidemiol. 1993, 46 (6): 561-571. 10.1016/0895-4356(93)90129-O.
Gordon NP, Hiatt RA, Lampert DI: Concordance of self-reported data and medical record audit for six cancer screening procedures. J Natl Cancer Inst. 1993, 85 (7): 566-570. 10.1093/jnci/85.7.566.
Luepker RV, Pallonen UE, Murray DM, Pirie PL: Validity of telephone surveys in assessing cigarette smoking in young adults. Am J Public Health. 1989, 79 (2): 202-204. 10.2105/AJPH.79.2.202.
Mittelmark M, Psaty BM, Rautaharju PM, Fried LP, Borhani NO, Tracy RP, Gardin JM, O'Leary DH: Prevalence of cardiovascular diseases among older adults. Am J Epidemiol. 1993, 137 (3): 311-317.
Mechanic D: Correlates of physician utilization: why do major multivariate studies of physician utilization find trivial psychosocial and organizational effects?. J Health Soc Behav. 1979, 20 (4): 387-396. 10.2307/2955413.
O'Mahony PG, Dobson R, Rodgers H, James OF, Thomson RG: Validation of a population screening questionnaire to assess prevalence of stroke. Stroke. 1995, 26 (8): 1334-1337. 10.1161/01.STR.26.8.1334.
Subramanian S, Huijts T, Avendano M: Self-reported health assessments in the 2002 World Health Survey: how do they correlate with education?. Bull World Health Organ. 2010, 88: 131-138. 10.2471/BLT.09.067058.
Robinson JR, Young TK, Roos LL, Gelskey DE: Estimating the burden of disease: comparing administrative data and self-reports. Med Care. 1997, 35 (9): 932-947. 10.1097/00005650-199709000-00006.
Kalter H: The validation of interviews for estimating morbidity. Health Policy Plan. 1992, 7 (1): 30-39. 10.1093/heapol/7.1.30.
The pre-publication history for this paper can be accessed here:http://0-www.biomedcentral.com.brum.beds.ac.uk/1471-2458/12/24/prepub
This work was supported by Global Health Research Initiative, Teasdale-Corti Team Grants. Grant No:103460-040, and Canadian Institutes of Health Research (CIHR), Grant No:83222
We are grateful to Dr. Marie-Pierre Sylvestre for providing expertise and support to the statistical analyses.
The authors declare that they have no competing interests.
MM and SH made substantial contributions to the study's conception, were involved in drafting all sections of the manuscript and gave final approval of the version to be published.
MVZ made substantial contributions to the conception and interpretation of data and was involved in drafting the manuscript.
ÉL was involved in reviewing the literature and helped draft the manuscript.
EEF was involved in data interpretation and in critically reviewing important methodological content of the manuscript.
SK was involved in data interpretation and contextualization and in reviewing the discussion components.
All authors read and approved the final manuscript.
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Miszkurka, M., Haddad, S., Langlois, É.V. et al. Heavy burden of non-communicable diseases at early age and gender disparities in an adult population of Burkina Faso: world health survey. BMC Public Health 12, 24 (2012). https://0-doi-org.brum.beds.ac.uk/10.1186/1471-2458-12-24
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