Examinando por Autor "Palileo-Villanueva, Lia M."

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    Contrasting associations between diabetes and cardiovascular mortality rates in low-, middle-, and high-income countries: Cohort study data from 143,567 individuals in 21 countries in the pure study
    (American Diabetes Association, 2020-10-15) Mohan Anjana, Ranjit; Mohan, Viswanathan; Rangarajan, Sumathy; Gerstein, Hertzel C.; Venkatesan, Ulagamadesan; Sheridan, Patrick; Dagenais, Gilles R.; Lear, Scott A.; Teo, Koon; Karsidag, Kubilay; Alhabib, Khalid F.; Yusoff, Khalid; Ismail, Noorhassim; Mony, Prem; Lopez-Jaramillo, Patricio; Chifamba, Jephat; Palileo-Villanueva, Lia M.; Iqbal, Romaina; Yusufali, Afzalhussein; Kruger, Iolanthe M.; Rosengren, Annika; Bahonar, Ahmad; Zatonska, Katarzyna; Yeates, Karen; Gupta, Rajeev; Li, Wei; Hu, Lihua; Rahman, M. Omar; Lakshmi, P.V.M.; Iype, Thomas; Avezum, Alvaro; Diaz, Rafael; Lanas, Fernando; Yusuf, Salim; Masira
    OBJECTIVE We aimed to compare cardiovascular (CV) events, all-cause mortality, and CV mortality rates among adults with and without diabetes in countries with differing levels of income. RESEARCH DESIGN AND METHODS The Prospective Urban Rural Epidemiology (PURE) study enrolled 143,567 adults aged 35–70 years from 4 high-income countries (HIC), 12 middle-income countries (MIC), and 5 low-income countries (LIC). The mean follow-up was 9.0 6 3.0 years. RESULTS Among those with diabetes, CVD rates (LIC 10.3, MIC 9.2, HIC 8.3 per 1,000 personyears, P < 0.001), all-cause mortality (LIC 13.8, MIC 7.2, HIC 4.2 per 1,000 personyears, P < 0.001), and CV mortality (LIC 5.7, MIC 2.2, HIC 1.0 per 1,000 person-years, P < 0.001) were considerably higher in LIC compared with MIC and HIC. Within LIC, mortality was higher in those in the lowest tertile of wealth index (low 14.7%, middle 10.8%, and high 6.5%). In contrast to HIC and MIC, the increased CV mortality in those with diabetes in LIC remained unchanged even after adjustment for behavioral risk factors and treatments (hazard ratio [95% CI] 1.89 [1.58–2.27] to 1.78 [1.36–2.34]). CONCLUSIONS CVD rates, all-cause mortality, and CV mortality were markedly higher among those with diabetes in LIC compared with MIC and HIC with mortality risk remaining unchanged even after adjustment for risk factors and treatments. There is an urgent need to improve access to care to those with diabetes in LIC to reduce the excess mortality rates, particularly among those in the poorer strata of society.
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    Psychosocial Risk Factors and Cardiovascular Disease and Death in a Population-Based Cohort from 21 Low-, Middle-, and High-Income Countries
    (JAMA Network Open, 2021-12-15) Santosa, Ailiana; Rosengren, Annika; Ramasundarahettige, Chinthanie; Rangarajan, Sumathy; Chifamba, Jephat; Lear, Scott A.; Poirier, Paul; Yeates, Karen; Yusuf, Rita; Orlandini, Andreas; Weida, Liu; Sidong, Li; Yibing, Zhu; Mohan, Viswanathan; Kaur, Manmeet; Zatonska, Katarzyna; Ismail, Noorhassim; Lopez-Jaramillo, Patricio; Iqbal, Romaina; Palileo-Villanueva, Lia M.; Yusufali, Afzalhusein H.; AlHabib, Khalid F.; Yusuf, Salim; Masira
    IMPORTANCE Stress may increase the risk of cardiovascular disease (CVD). Most studies on stress and CVD have been conducted in high-income Western countries, but whether stress is associated with CVD in other settings has been less well studied. OBJECTIVE To investigate the association of a composite measure of psychosocial stress and the development of CVD events and mortality in a large prospective study involving populations from 21 high-, middle-, and low-income countries across 5 continents. DESIGN, SETTING, AND PARTICIPANTS This population-based cohort study used data from the Prospective Urban Rural Epidemiology study, collected between January 2003 and March 2021. Participants included individuals aged 35 to 70 years living in 21 low-, middle-, and high-income countries. Data were analyzed from April 8 to June 15, 2021. EXPOSURES All participants were assessed on a composite measure of psychosocial stress assessed at study entry using brief questionnaires concerning stress at work and home, major life events, and financial stress. MAIN OUTCOMES AND MEASURES The outcomes of interest were stroke, major coronary heart disease (CHD), CVD, and all-cause mortality. RESULTS A total of 118 706 participants (mean [SD] age 50.4 [9.6] years; 69 842 [58.8%] women and 48 864 [41.2%] men) without prior CVD and with complete baseline and follow-up data were included. Of these, 8699 participants (7.3%) reported high stress, 21 797 participants (18.4%) reported moderate stress, 34 958 participants (29.4%) reported low stress, and 53 252 participants (44.8%) reported no stress. High stress, compared with no stress, was more likely with younger age (mean [SD] age, 48.9 [8.9] years vs 51.1 [9.8] years), abdominal obesity (2981 participants [34.3%] vs 10 599 participants [19.9%]), current smoking (2319 participants [26.7%] vs 10 477 participants [19.7%]) and former smoking (1571 participants [18.1%] vs 3978 participants [7.5%]), alcohol use (4222 participants [48.5%] vs 13 222 participants [24.8%]), and family history of CVD (5435 participants [62.5%] vs 20 255 participants [38.0%]). During a median (IQR) follow-up of 10.2 (8.6-11.9) years, a total of 7248 deaths occurred. During the course of follow-up, there were 5934 CVD events, 4107 CHD events, and 2880 stroke events. Compared with no stress and after adjustment for age, sex, education, marital status, location, abdominal obesity, hypertension, smoking, diabetes, and family history of CVD, as the level of stress increased, there were increases in risk of death (low stress: hazard ratio [HR], 1.09 [95% CI, 1.03-1.16]; high stress: 1.17 [95% CI, 1.06-1.29]) and CHD (low stress: HR, 1.09 [95% CI, 1.01-1.18]; high stress: HR, 1.24 [95% CI, 1.08-1.42]). High stress, but not low or moderate stress, was associated with CVD (HR, 1.22 [95% CI, 1.08-1.37]) and stroke (HR, 1.30 [95% CI, 1.09-1.56]) after adjustment. CONCLUSIONS AND RELEVANCE This cohort study found that higher psychosocial stress, measured as a composite score of self-perceived stress, life events, and financial stress, was significantly associated with mortality as well as with CVD, CHD, and stroke events.
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    Variations in the financial impact of the COVID-19 pandemic across 5 continents. A cross-sectional, individual level analysis
    (ScienceDirect, 2022-01-28) Khetan, Aditya K.; Yusuf, Salim; Lopez-Jaramillo, Patricio; Szuba, Andrzej; Orlandini, Andres; Mat-Nasir, Nafiza; Oguz, Aytekin; Gupta, Rajeev; Avezum, Alvaro; Rosnah, Ismail; Poirier, Paul; Teo, Koon; Wielgosz, Andreas; Lear, Scott A.; Palileo-Villanueva, Lia M.; Seron, Pamela; Chifamba, Jephat; Rangarajan, Sumathy; Mushtaha, Maha; Mohan, Deepa; Yeates, Karen; McKee, Martin; Mony, Prem; Walli-Attaei, Marjan; Khansaheb, Hamda; Rosengren, Annika; AlHabib, Khalid F.; Kruger, Iolanthe M.; Paucar, María-Jose; Mirrakhimov, Erkin; Assembekov, Batyrbek; Leong, Darryl P.; Masira
    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.
  • Publicación
    Acceso abierto
    Variations in the financial impact of the COVID-19 pandemic across 5 continents: A cross-sectional, individual level analysis
    (2022-02-05) Khetan, Aditya K.; Yusuf, Salim; Lopez-Jaramillo, Patricio; Szuba, Andrzej; Orlandini, Andres; Mat-Nasir, Nafiza; Oguz, Aytekin; Gupta, Rajeev; Avezum, Álvaro; Rosnah, Ismail; Poirier, Paul; Teo, Koon K.; Wielgosz, Andreas; Lear, Scott A.; Palileo-Villanueva, Lia M.; Serón, Pamela; Chifamba, Jephat; Rangarajan, Sumathy; Mushtaha, Maha; Mohan, Deepa; Yeates, Karen; McKee, Martin; Mony, Prem K.; Walli-Attaei, Marjan; Khansaheb, Hamda; Rosengren, Annika; Alhabib, Khalid F.; Kruger, Iolanthé M.; Paucar, María-José; Mirrakhimov, Erkin; Assembekov, Batyrbek; Leong, Darryl P.; Masira
    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.
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    White rice intake and incident diabetes: A study of 132,373 participants in 21 countries
    (Diabetes Care, 2020-09-01) Bhavadharini, Balaji; Mohan, Viswanathan; Dehghan, Mahshid; Rangarajan, Sumathy; Swaminathan, Sumathi; Rosengren, Annika; Wielgosz, Andreas; Avezum, Alvaro; Lopez-Jaramillo, Patricio; Dans, Antonio; Yeates, Karen; Poirier, Paul; Chifamba, Jephat; Alhabib, Khalid F.; Mohammadifard, Noushin; Zatonska, Katarzyna; Khatib, Rasha; Keskinler, Mirac Vural; Wei, Li; Wang, Chuangshi; Liu, Xiaoyun; Iqbal, Romaina; Yusuf, Rita; Wentzel-Viljoen, Edelweiss; Yusufali, Afzalhussein; Diaz, Rafael; Kien Keat, Ng; Lakshmi, P.V.M.; Ismail, Noorhassim; Gupta, Rajeev; Palileo-Villanueva, Lia M.; Sheridan, Patrick; Mente, Andrew; Yusuf, Salim; Masira
    OBJECTIVE Previous prospective studies on the association of white rice intake with incident diabetes have shown contradictory results but were conducted in single countries and predominantly in Asia. We report on the association of white rice with risk of diabetes in the multinational Prospective Urban Rural Epidemiology (PURE) study. RESEARCH DESIGN AND METHODS Data on 132,373 individuals aged 35–70 years from 21 countries were analyzed. White rice consumption (cooked) was categorized as <150, ≥150 to <300, ≥300 to <450, and ≥450 g/day, based on one cup of cooked rice = 150 g. The primary outcome was incident diabetes. Hazard ratios (HRs) were calculated using a multivariable Cox frailty model. RESULTS During a mean follow-up period of 9.5 years, 6,129 individuals without baseline diabetes developed incident diabetes. In the overall cohort, higher intake of white rice (≥450 g/day compared with <150 g/day) was associated with increased risk of diabetes (HR 1.20; 95% CI 1.02–1.40; P for trend = 0.003). However, the highest risk was seen in South Asia (HR 1.61; 95% CI 1.13–2.30; P for trend = 0.02), followed by other regions of the world (which included South East Asia, Middle East, South America, North America, Europe, and Africa) (HR 1.41; 95% CI 1.08–1.86; P for trend = 0.01), while in China there was no significant association (HR 1.04; 95% CI 0.77–1.40; P for trend = 0.38). CONCLUSIONS Higher consumption of white rice is associated with an increased risk of incident diabetes with the strongest association being observed in South Asia, while in other regions, a modest, nonsignificant association was seen.