| 1. |
- Sathish, T., et al.
(författare)
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Variations in risks from smoking between high-income, middle-income, and low-income countries: an analysis of data from 179000 participants from 63 countries
- 2022
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Ingår i: The Lancet Global Health. - 2214-109X. ; 10:2
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Tidskriftsartikel (refereegranskat)abstract
- Background: Separate studies suggest that the risks from smoking might vary between high-income (HICs), middle-income (MICs), and low-income (LICs) countries, but this has not yet been systematically examined within a single study using standardised approaches. We examined the variations in risks from smoking across different country income groups and some of their potential reasons. Methods: We analysed data from 134 909 participants from 21 countries followed up for a median of 11·3 years in the Prospective Urban Rural Epidemiology (PURE) cohort study; 9711 participants with myocardial infarction and 11 362 controls from 52 countries in the INTERHEART case-control study; and 11 580 participants with stroke and 11 331 controls from 32 countries in the INTERSTROKE case-control study. In PURE, all-cause mortality, major cardiovascular disease, cancers, respiratory diseases, and their composite were the primary outcomes for this analysis. Biochemical verification of urinary total nicotine equivalent was done in a substudy of 1000 participants in PURE. Findings: In PURE, the adjusted hazard ratio (HR) for the composite outcome in current smokers (vs never smokers) was higher in HICs (HR 1·87, 95% CI 1·65–2·12) than in MICs (1·41, 1·34–1·49) and LICs (1·35, 1·25–1·46; interaction p<0·0001). Similar patterns were observed for each component of the composite outcome in PURE, myocardial infarction in INTERHEART, and stroke in INTERSTROKE. The median levels of tar, nicotine, and carbon monoxide displayed on the cigarette packs from PURE HICs were higher than those on the packs from MICs. In PURE, the proportion of never smokers reporting high second-hand smoke exposure (≥1 times/day) was 6·3% in HICs, 23·2% in MICs, and 14·0% in LICs. The adjusted geometric mean total nicotine equivalent was higher among current smokers in HICs (47·2 μM) than in MICs (31·1 μM) and LICs (25·2 μM; ANCOVA p<0·0001). By contrast, it was higher among never smokers in LICs (18·8 μM) and MICs (11·3 μM) than in HICs (5·0 μM; ANCOVA p=0·0001). Interpretation: The variations in risks from smoking between country income groups are probably related to the higher exposure of tobacco-derived toxicants among smokers in HICs and higher rates of high second-hand smoke exposure among never smokers in MICs and LICs. Funding: Full funding sources are listed at the end of the paper (see Acknowledgments). © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license
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| 2. |
- Khetan, A. K., et al.
(författare)
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Variations in the financial impact of the COVID-19 pandemic across 5 continents: A cross-sectional, individual level analysis
- 2022
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Ingår i: eClinicalMedicine. - : Elsevier BV. - 2589-5370. ; 44
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Tidskriftsartikel (refereegranskat)abstract
- Background: COVID-19 has caused profound socio-economic changes worldwide. However, internationally comparative data regarding the financial impact on individuals is sparse. Therefore, we conducted a survey of the financial impact of the pandemic on individuals, using an international cohort that has been well-characterized prior to the pandemic. Methods: Between August 2020 and September 2021, we surveyed 24,506 community-dwelling participants from the Prospective Urban-Rural Epidemiology (PURE) study across high (HIC), upper middle (UMIC)-and lower middle (LMIC)-income countries. We collected information regarding the impact of the pandemic on their self-reported personal finances and sources of income. Findings: Overall, 32.4% of participants had suffered an adverse financial impact, defined as job loss, inability to meet financial obligations or essential needs, or using savings to meet financial obligations. 8.4% of participants had lost a job (temporarily or permanently); 14.6% of participants were unable to meet financial obligations or essential needs at the time of the survey and 16.3% were using their savings to meet financial obligations. Participants with a post-secondary education were least likely to be adversely impacted (19.6%), compared with 33.4% of those with secondary education and 33.5% of those with pre-secondary education. Similarly, those in the highest wealth tertile were least likely to be financially impacted (26.7%), compared with 32.5% in the middle tertile and 30.4% in the bottom tertile participants. Compared with HICs, financial impact was greater in UMIC [odds ratio of 2.09 (1.88–2.33)] and greatest in LMIC [odds ratio of 16.88 (14.69–19.39)]. HIC participants with the lowest educational attainment suffered less financial impact (15.1% of participants affected) than those with the highest education in UMIC (22.0% of participants affected). Similarly, participants with the lowest education in UMIC experienced less financial impact (28.3%) than those with the highest education in LMIC (45.9%). A similar gradient was seen across country income categories when compared by pre-pandemic wealth status. Interpretation: The financial impact of the pandemic differs more between HIC, UMIC, and LMIC than between socio-economic categories within a country income level. The most disadvantaged socio-economic subgroups in HIC had a lower financial impact from the pandemic than the most advantaged subgroup in UMIC, with a similar disparity seen between UMIC and LMIC. Continued high levels of infection will exacerbate financial inequity between countries and hinder progress towards the sustainable development goals, emphasising the importance of effective measures to control COVID-19 and, especially, ensuring high vaccine coverage in all countries. Funding: Funding for this study was provided by the Canadian Institutes of Health Research and the International Development Research Centre. © 2022 The Author(s)
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| 3. |
- Li, S. D., et al.
(författare)
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Association of Sitting Time With Mortality and Cardiovascular Events in High-Income, Middle-Income, and Low-Income Countries
- 2022
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Ingår i: Jama Cardiology. - : American Medical Association (AMA). - 2380-6583. ; 7:8, s. 796-807
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Tidskriftsartikel (refereegranskat)abstract
- IMPORTANCE High amounts of sitting time are associated with increased risks of cardiovascular disease (CVD) and mortality in high-income countries, but it is unknown whether risks also increase in low- and middle-income countries. OBJECTIVE To investigate the association of sitting time with mortality and major CVD in countries at different economic levels using data from the Prospective Urban Rural Epidemiology study. DESIGN, SETTING, AND PARTICIPANTS This population-based cohort study included participants aged 35 to 70 years recruited from January 1, 2003, and followed up until August 31, 2021, in 21 high-income, middle-income, and low-income countries with a median follow-up of 11.1 years. EXPOSURES Daily sitting time measured using the International Physical Activity Questionnaire. MAIN OUTCOMES AND MEASURES The composite of all-cause mortality and major CVD (defined as cardiovascular death, myocardial infarction, stroke, or heart failure). RESULTS Of 105 677 participants, 61 925 (58.6%) were women, and the mean (SD) age was 50.4 (9.6) years. During a median follow-up of 11.1 (IQR, 8.6-12.2) years, 6233 deaths and 5696 major cardiovascular events (2349 myocardial infarctions, 2966 strokes, 671 heart failure, and 1792 cardiovascular deaths) were documented. Compared with the reference group (<4 hours per day of sitting), higher sitting time (>= 8 hours per day) was associated with an increased risk of the composite outcome (hazard ratio [HR], 1.19; 95% CI, 1.11-1.28; P for trend < .001), all-cause mortality (HR, 1.20; 95% Cl. 1.10-1.31; P for trend < .001), and major CVD (HR, 1.21; 95% CI, 1.10-1.34; P for trend < .001). When stratified by country income levels, the association of sitting time with the composite outcome was stronger in low-income and lower-middle-income countries (>= 8 hours per day: HR, 1.29; 95% CI, 1.16-1.44) compared with high-income and upper-middle-income countries (HR, 1.08; 95% CI, 0.98-1.19; P for interaction = .02). Compared with those who reported sitting time less than 4 hours per day and high physical activity level, participants who sat for 8 or more hours per day experienced a 17% to 50% higher associated risk of the composite outcome across physical activity levels; and the risk was attenuated along with increased physical activity levels. CONCLUSIONS AND RELEVANCE High amounts of sitting time were associated with increased risk of all-cause mortality and CVD in economically diverse settings, especially in low-income and lower-middle-income countries. Reducing sedentary time along with increasing physical activity might be an important strategy for easing the global burden of premature deaths and CVD.
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| 4. |
- Khetan, Aditya K, et al.
(författare)
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Variations in the association of height with mortality, cardiovascular disease and cancer in low-, middle- and high-income countries.
- 2022
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Ingår i: International journal of epidemiology. - : Oxford University Press (OUP). - 1464-3685 .- 0300-5771. ; 51:4, s. 1304-1316
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Tidskriftsartikel (refereegranskat)abstract
- Final adult height is a useful proxy measure of childhood nutrition and disease burden. Tall stature has been previously associated with decreased risk of all-cause mortality, decreased risk of major cardiovascular events and an increased risk of cancer. However, these associations have primarily been derived from people of European and East Asian backgrounds, and there are sparse data from other regions of the world.The Prospective Urban-Rural Epidemiology study is a large, longitudinal population study done in 21 countries of varying incomes and sociocultural settings. We enrolled an unbiased sample of households, which were eligible if at least one household member was aged 35-70 years. Height was measured in a standardized manner, without shoes, to the nearest 0.1 cm. During a median follow-up of 10.1 years (interquartile range 8.3-12.0), we assessed the risk of all-cause mortality, major cardiovascular events and cancer.A total of 154 610 participants, enrolled since January 2003, with known height and vital status, were included in this analysis. Follow-up event data until March 2021 were used; 11 487 (7.4%) participants died, whereas 9291 (6.0%) participants had a major cardiovascular event and 5873 (3.8%) participants had a new diagnosis of cancer. After adjustment, taller individuals had lower hazards of all-cause mortality [hazard ratio (HR) per 10-cm increase in height 0.93, 95% confidence interval (CI) 0.90-0.96] and major cardiovascular events (HR 0.97, 95% CI 0.94-1.00), whereas the hazard of cancer was higher in taller participants (HR 1.23, 95% CI 1.18-1.28). The interaction p-values between height and country-income level for all three outcomes were <0.001, suggesting that the association with height varied by country-income level for these outcomes. In low-income countries, height was inversely associated with all-cause mortality (HR 0.88, 95% CI 0.84-0.92) and major cardiovascular events (HR 0.87, 95% CI 0.82-0.93). There was no association of height with these outcomes in middle- and high-income countries. The respective HRs for cancer in low-, middle- and high-income countries were 1.14 (95% CI 0.99-1.32), 1.12 (95% CI 1.04-1.22) and 1.20 (95% CI 1.14-1.26).Unlike high- and middle-income countries, tall stature has a strong inverse association with all-cause mortality and major cardiovascular events in low-income countries. Improved childhood physical development and advances in population-wide cardiovascular treatments in high- and middle-income countries may contribute to this gap. From a life-course perspective, we hypothesize that optimizing maternal and child health in low-income countries may improve rates of premature mortality and cardiovascular events in these countries, at a population level.
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| 5. |
- Leong, D. P., et al.
(författare)
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Medications for blood pressure, blood glucose, lipids, and anti-thrombotic medications: relationship with cardiovascular disease and death in adults from 21 high-, middle-, and low-income countries with an elevated body mass index
- 2022
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Ingår i: European journal of preventive cardiology. - : Oxford University Press (OUP). - 2047-4873 .- 2047-4881. ; 29:14, s. 1817-1826
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Tidskriftsartikel (refereegranskat)abstract
- Aims Elevated body mass index (BMI) is an important cause of cardiovascular disease (CVD). The population-level impact of pharmacologic strategies to mitigate the risk of CVD conferred by the metabolic consequences of an elevated BMI is not well described. Methods and results We conducted an analysis of 145 986 participants (mean age 50 years, 58% women) from 21 high-, middle-, and low-income countries in the Prospective Urban and Rural Epidemiology study who had no history of cancer, ischaemic heart disease, heart failure, or stroke. We evaluated whether the hazards of CVD (myocardial infarction, stroke, heart failure, or cardiovascular death) differed among those taking a cardiovascular medication (n = 29 174; including blood pressure-lowering, blood glucose-lowering, cholesterol-lowering, or anti-thrombotic medications) vs. those not taking a cardiovascular medication (n = 116 812) during 10.2 years of follow-up. Cox proportional hazard models with the community as a shared frailty were constructed by adjusting age, sex, education, geographic region, physical activity, tobacco, and alcohol use. We observed 7928 (5.4%) CVD events and 9863 (6.8%) deaths. Cardiovascular medication use was associated with different hazards of CVD (interaction P < 0.0001) and death (interaction P = 0.0020) as compared with no cardiovascular medication use. Among those not taking a cardiovascular medication, as compared with those with BMI 20 to <25 kg/m(2), the hazard ratio (HR) [95% confidence interval (95% CI)] for CVD were, respectively, 1.14 (1.06-1.23); 1.45 (1.30-1.61); and 1.53 (1.28-1.82) among those with BMI 25 to <30 kg/m(2); 30 to <35 kg/m(2); and >= 35 kg/m(2). However, among those taking a cardiovascular medication, the HR (95% CI) for CVD were, respectively, 0.79 (0.72-0.87); 0.90 (0.79-1.01); and 1.14 (0.98-1.33). Among those not taking a cardiovascular medication, the respective HR (95% CI) for death were 0.93 (0.87-1.00); 1.03 (0.93-1.15); and 1.44 (1.24-1.67) among those with BMI 25 to <30 kg/m(2); 30 to <35 kg/m(2); and >= 35 kg/m(2). However, among those taking a cardiovascular medication, the respective HR (95% CI) for death were 0.77 (0.69-0.84); 0.88 (0.78-0.99); and 1.12 (0.96-1.30). Blood pressure-lowering medications accounted for the largest population attributable benefit of cardiovascular medications. Conclusion To the extent that CVD risk among those with an elevated BMI is related to hypertension, diabetes, and an elevated thrombotic milieu, targeting these pathways pharmacologically may represent an important complementary means of reducing the CVD burden caused by an elevated BMI.
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