Modifiable risk factors for cardiovascular disease and mortality (26•3% of the PAF), although the single largest risk factor was a low education level (12.5% of the PAF). Ambient air pollution was associated with 13•9% of the PAF for CVD (although different statistical methods were used for this analysis). In MIC and LIC, the importance of household air pollution, poor diet, low education, and low grip strength were larger compared with HIC.Interpretation: The majority of CVD cases and deaths can be attributed to a small number of common, modifiable risk factors. While some factors have extensive global impacts (e.g. hypertension, education), others (e.g. household air pollution, poor diet) vary by a country's economic level. Health policies should focus on risk factors that have the greatest effects on averting CVD and death globally, with additional emphasis on risk factors of greatest importance in specific groups of countries.Funding: See acknowledgements.

Each year, more than 2 million women are diagnosed with breast or cervical cancer, yet where a woman lives, her socioeconomic status and agency largely determines whether she will develop one of these cancers and will ultimately survive. In regions with limited resources, fragile or fragmented health systems, cancer contributes to the cycle of poverty. There are proven and cost-effective interventions for both these common cancers, yet for so many women access to these is beyond reach. These inequities highlight the urgent need for sustainable investments in the entire spectrum of cancer control, from prevention to palliative care, and in the development of high-quality population-based cancer registries, in low-and middle-income countries. In this first Series paper we describe the burden of breast and cervical cancer with an emphasis on global and regional trends in incidence, mortality and survival, and the impact, particularly among socioeconomically disadvantaged women in different settings.

No abstract

Background Socioeconomic status is associated with differences in risk factors for cardiovascular disease incidence and outcomes, including mortality. However, it is unclear whether the associations between cardiovascular disease and common measures of socioeconomic status-wealth and education-differ among high-income, middle-income, and low-income countries, and, if so, why these differences exist. We explored the association between education and household wealth and cardiovascular disease and mortality to assess which marker is the stronger predictor of outcomes, and examined whether any differences in cardiovascular disease by socioeconomic status parallel differences in risk factor levels or differences in management.Methods In this large-scale prospective cohort study, we recruited adults aged between 35 years and 70 years from 367 urban and 302 rural communities in 20 countries. We collected data on families and households in two questionnaires, and data on cardiovascular risk factors in a third questionnaire, which was supplemented with physical examination. We assessed socioeconomic status using education and a household wealth index. Education was categorised as no or primary school education only, secondary school education, or higher education, defined as completion of trade school, college, or university. Household wealth, calculated at the household level and with household data, was defined by an index on the basis of ownership of assets and housing characteristics. Primary outcomes were major cardiovascular disease (a composite of cardiovascular deaths, strokes, myocardial infarction, and heart failure), cardiovascular mortality, and all-cause mortality. Information on specific events was obtained from participants or their family.

No abstract