Associations of diabesity with all-cause and cardiovascular disease mortality: Findings from the Mexico City Prospective Study.

AIM: To investigate the joint associations of diabetes and obesity with all-cause and cardiovascular disease (CVD) mortality in the Mexico City Prospective Study. MATERIALS AND METHODS: In total, 154 128 participants (67.2% women) were included in this prospective analysis. Diabetes was self-reported, while body mass index was used to calculate obesity. Using diabetes and obesity classifications, six groups were created: (a) normal (no diabetes and normal weight); (b) normal weight and diabetes; (c) overweight but not diabetes (overweight); (d) overweight and diabetes (prediabesity); (e) obesity but not diabetes (obesity); and (f) obesity and diabetes (diabesity). Associations between these categories and outcomes were investigated using Cox proportional hazard models adjusted for confounder factors. RESULTS: During 18.3 years of follow-up, 27 197 (17.6%) participants died (28.5% because of CV causes). In the maximally adjusted model, participants those with the highest risk {hazard ratio (HR): 2.37 [95% confidence interval (CI): 2.24-2.51]}, followed by those with diabesity [HR: 2.04 (95% CI: 1.94-2.15)]. Similar trends of associations were observed for CVD mortality. The highest CV mortality risk was observed in individuals with diabesity [HR: 1.80 (95% CI: 1.63-1.99)], followed by normal weight and diabetic individuals [HR: 1.78 (95% CI: 1.60-1.98)]. CONCLUSION: This large prospective study identified that diabetes was the main driver of all-cause and CVD mortality in all the categories studied, with diabesity being the riskiest. Given the high prevalence of both conditions in Mexico, our results reinforce the importance of initiating prevention strategies from an early age.

Associations of the 'weekend warrior' physical activity pattern with all-cause, cardiovascular disease and cancer mortality: the Mexico City Prospective Study.

OBJECTIVES: The objective was to investigate the benefits of the 'weekend warrior' physical activity pattern in Latin America, where many people take part in high levels of non-exercise physical activity. METHODS: Participants in the Mexico City Prospective Study were surveyed from 1998 to 2004 and resurveyed from 2015 to 2019. Those who exercised up to once or twice per week were termed weekend warriors. Those who exercised more often were termed regularly active. Analyses were adjusted for potential confounders. RESULTS: The main analysis included 26 006 deaths in 154 882 adults (67% female) aged 52±13 years followed for 18±4 years (mean±SD). Compared with those who reported no exercise, the HR (95% CI) was 0.88 (0.83 to 0.93) in the weekend warriors and 0.88 (0.84 to 0.91) in the regularly active. Similar results were observed for cardiovascular disease and cancer mortality, but associations were weaker. Stratified analyses showed that substantial reductions in all-cause mortality risk only occurred when the duration of exercise sessions was at least 30-60 min. The repeated-measures analysis included 843 deaths in 10 023 adults followed for 20±2 years. Compared with being inactive or becoming inactive, the HR was 0.86 (95% CI 0.65 to 1.12) when being a weekend warrior or becoming a weekend warrior and 0.85 (95% CI 0.70 to 1.03) when being regularly active or becoming regularly active. CONCLUSIONS: This is the first prospective study to investigate the benefits of the weekend warrior physical activity pattern in Latin America. The results suggest that even busy adults could benefit from taking part in one or two sessions of exercise per week.

Predictive ability of both the healthy aging index and the frailty index for all-cause mortality.

AIM: We aimed to develop and assess a modified healthy aging index (HAI) among Chileans aged 60 years and older and compare its predictive ability for all-cause mortality risk with the frailty index (FI). METHODS: This prospective study analyzed data from the Chilean National Health Survey (CNHS) conducted in 2009-2010. We included 847 adults with complete data to construct the HAI and FI. The HAI comprised five indicators (lung function, systolic blood pressure, fasting glucose, cognitive status, and glomerular filtration rate), while the FI assessed frailty using a 36-item scale. HAI scores were calculated by summing the indicator scores, ranging from 0 to 10, with higher scores indicating poorer health. Receiver operating curves (ROC) and area under the curve (AUC) were used to assess predictive validity. Associations with all-cause mortality were assessed using Cox proportional hazard models adjusted by confounders. RESULTS: The mean HAI score was 4.06, while the FI score was 0.24. The AUC for mortality was higher for the HAI than the FI (0.640, 95% confidence interval (CI) 0.601 to 0.679 vs. 0.586, 95% CI 0.545 to 0.627). After adjusting for confounders, the FI showed a higher mortality risk compared to the HAI (2.63, 95% CI 1.76 to 3.51 vs. 1.16, 95% CI 1.08 to 1.26). CONCLUSION: The FI and HAI were valid predictors for all-cause mortality in the Chilean population. Integrating these indices into research and clinical practice can significantly enhance our capacity to identify at-risk individuals.

Lifestyle risk factors and all-cause and cause-specific mortality in the Mexico City prospective study: Assessing the influence of reverse causation.

BACKGROUND: We examined the association between individual lifestyle risk factors with all-cause and cause-specific mortality. METHODS: Prospective cohort study including 155,002 participants from the Mexico City Prospective Study. Cox regression models were used to estimate the association between individual lifestyle risk factors and all-cause and cause-specific mortality. Participants with prevalent diseases at baseline and participants who died during the first 2, 5, 10, and 15 years of follow-up were excluded to account for reverse causation. RESULTS: 27,469 people died during 18.3 years of follow-up years. Overweight and moderate alcohol consumption were inversely associated with all-cause mortality, while low physical activity and smoking were positively associated when all participants were included, regardless of prevalent disease or duration of follow-up. The direction of the association of overweight with all-cause mortality changed from inverse to positive after excluding the first 10 years of follow-up. Compared with normal weight, the hazard ratio (95 % confidence interval) was 1.17 (1.13,1.22) for obesity after excluding those who died in the first 5 years of follow-up and 1.71 (1.59,1.84) after excluding the first 15 years of follow-up. The magnitude of the association of alcohol intake, low physical activity, and smoking with mortality attenuated, whereas for fruits and vegetables increased, after excluding longer periods of follow-up. LIMITATIONS: The data were collected exclusively in Mexico City; lifestyle risk factors were self-reported and thus prone to misclassification bias. CONCLUSIONS: Reverse causation may influence both the magnitude and the direction of the associations between lifestyle risk factors and mortality.

Association of five diet scores with severe NAFLD incidence: A prospective study from UK Biobank.

AIM: This study aimed to contrast the associations of five common diet scores with severe non-alcoholic fatty liver disease (NAFLD) incidence. MATERIALS AND METHODS: In total, 162 999 UK Biobank participants were included in this prospective population-based study. Five international diet scores were included: the 14-Item Mediterranean Diet Adherence Screener (MEDAS-14), the Recommended Food Score (RFS), the Healthy Diet Indicator (HDI), the Mediterranean Diet Score and the Mediterranean-DASH Intervention for Neurodegenerative Delay score. As each score has different measurements and scales, all scores were standardized and categorized into quartiles. Cox proportional hazard models adjusted for confounder factors investigated associations between the standardized quartiles and severe NAFLD incidence. RESULTS: Over a median follow-up of 10.2 years, 1370 participants were diagnosed with severe NAFLD. When the analyses were fully adjusted, participants in quartile 4 using the MEDAS-14 and RFS scores, as well as those in quartiles 2 and 3 using the HDI score, had a significantly lower risk of severe incident NAFLD compared with those in quartile 1. The lowest risk was observed in quartile 4 for the MEDAS-14 score [hazard ratio (HR): 0.76 (95% confidence interval (CI): 0.62-0.94)] and the RFS score [HR: 0.82 (95% CI: 0.69-0.96)] and as well as in quartile 2 in the HDI score [HR: 0.80 (95% CI: 0.70-0.91)]. CONCLUSION: MEDAS-14, RFS and HDI scores were the strongest diet score predictors of severe NAFLD. A healthy diet might protect against NAFLD development irrespective of the specific approach used to assess diet. However, following these score recommendations could represent optimal dietary approaches to mitigate NAFLD risk.

Global prevalence of cardiovascular risk factors based on the Life's Essential 8 score: an overview of systematic reviews and meta-analysis.

Cardiovascular health (CVH) is a critical issue for global health. However, no previous study has determined the prevalence of cardiovascular risk factors based on the American Heart Association's (AHA) Life's Essential 8 (LE8). Therefore, we aimed to estimate the global prevalence of the eight cardiovascular risk factors identified in the LE8. A systematic search of systematic reviews with meta-analysis on cardiovascular risk factors covering data reported between 2000 and 2019 was conducted on PubMed, Epistemonikos, and the Cochrane Library until 1 May 2023. After applying exclusion criteria, 79 studies remained in the final selection for the narrative synthesis in the systematic review, of which 33 of them were used in the meta-analysis which included 2 555 639 participants from 104 countries. The overall pooled prevalence of cardiovascular risk factors was as follows: insufficient physical activity, 26.3% (95% CI 2.3%-63.4%), no adherence to a healthy diet, 34.1% (95% CI 5.8%-71.2%), nicotine exposure, 15.4% (95% CI 10.4%-21.2%), insufficient sleep quality, 38.5% (95% CI 14.0%-66.7%), obesity, 17.3% (95% CI 6.1%-32.6%), dyslipidemia, 34.1% (95% CI 33.8%-34.4%), diabetes, 12.0% (95% CI 7.0%-18.2%), and hypertension, 29.4% (95% CI 23.3%-35.8%). These results warrant prevention strategies aimed at reducing insufficient sleep quality, and no adherence to a healthy diet as leading cardiovascular risk factors worldwide. The high prevalence of hypertension among children and adults is concerning and should also be adequately addressed through global policies.

Association between a lifestyle score and all-cause mortality: a prospective analysis of the Chilean National Health Survey 2009-2010.

OBJECTIVE: To investigate the association between a lifestyle score and all-cause mortality in the Chilean population. DESIGN: Prospective study. SETTINGS: The score was based on seven modifiable behaviours: salt intake, fruit and vegetable intake, alcohol consumption, sleep duration, smoking, physical activity and sedentary behaviours. 1-point was assigned for each healthy recommendation. Points were summed to create an unweighted score from 0 (less healthy) to 7 (healthiest). According to their score, participants were then classified into: less healthy (0-2 points), moderately healthy (3-4 points) and the healthiest (5-7 points). Associations between the categories of lifestyle score and all-cause mortality were investigated using Cox proportional hazard models adjusted for confounders. Nonlinear associations were also investigated. PARTICIPANTS: 2706 participants from the Chilean National Health Survey 2009-2010. RESULTS: After a median follow-up of 10·9 years, 286 (10·6 %) participants died. In the maximally adjusted model, and compared with the healthiest participants, those less healthy had 2·55 (95 % CI 1·75, 3·71) times higher mortality risk due to any cause. Similar trends were identified for the moderately healthy group. Moreover, there was a significant trend towards increasing the mortality risk when increasing unhealthy behaviours (hazard ratio model 3: 1·61 (95 % CI 1·34, 1·94)). There was no evidence of nonlinearity between the lifestyle score and all-cause mortality. CONCLUSION: Individuals in the less healthy lifestyle category had higher mortality risk than the healthiest group. Therefore, public health strategies should be implemented to promote adherence to a healthy lifestyle across the Chilean population.

Association of Sitting Time With All-Cause and Cardiovascular Mortality: How Does Frailty Modify This Association?

To investigate how frailty modifies the association of sitting time with all-cause and cardiovascular mortality in Chilean adults. This prospective study included 2,604 participants aged ≥35 from the Chilean National Health Survey 2009-2010. Sitting time was self-reported, while frailty was assessed using a 36-item Frailty Index. Sitting time was categorized as low, medium, and high. Cox proportional hazard models were used to estimate the risk of mortality stratified for the sitting time categories. Over a median follow-up of 8.9 years, 311 participants died, 28% of them due to cardiovascular events. Frail people with prolonged sitting time were at higher risk of all-cause and cardiovascular mortality (hazard ratio 3.13; 95% confidence interval [2.06, 4.71] and hazard ratio 2.41; 95% confidence interval [1.50, 3.64], respectively). The observed risk was higher in women than men. Public health and individual strategies should be implemented to decrease sitting time across the population, with special attention on frail people.

Multimorbidity and 11-year mortality in adults: a prospective analysis using the Chilean National Health Survey.

Research on morbidity and mortality often emphasizes individual diseases over the cumulative effects of multimorbidity, especially in low- and middle-income countries. This study aimed to analyze the association between multimorbidity and all-cause mortality in a representative sample of the Chilean population. This longitudinal study used data from 3701 subjects aged ≥15 years who participated in the Chilean National Health Survey conducted between 2009 and 2010. We included 16 self-reported highly prevalent morbidities. All-cause mortality data from an 11-year follow-up were collected from the Chilean Civil Registry. The Cox proportional hazard model, adjusted for confounders, determined the association between multimorbidity categories and all-cause mortality. Of the total sample, 24.3% reported no morbidity, while 50.4% two or more. After adjustment, participants with four or more morbidities had a 1.66 times higher mortality risk [95% confidence interval (CI): 1.03-2.67] than those without morbidities. The mortality risk increased by 10% for each additional morbidity [HR: 1.09 (CI: 1.04-1.16)]. Multimorbidity was common in the Chilean population and increased the mortality risk, which greatly challenges the health system to provide an integral and coordinated approach to healthcare.

Latent class analyses of multimorbidity and all-cause mortality: A prospective study in Chilean adults.

Multimorbidity patterns can lead to differential risks for all-cause mortality. Within the Chilean context, research on morbidity and mortality predominantly emphasizes individual diseases or combinations thereof, rather than specific disease clusters. This study aimed to identify multimorbidity patterns, along with their associations with mortality, within a representative sample of the Chilean population. 3,701 participants aged ≥18 from the Chilean National Health Survey 2009-2010 were included in this prospective study. Multimorbidity patterns were identified from 16 chronic conditions and then classified using latent class analyses. All-cause mortality data were extracted from the Chilean Civil Registry. The association of classes with all-cause mortality was carried out using Cox proportional regression models, adjusting by sociodemographic and lifestyle variables. Three classes were identified: a) Class 1, the healthiest (72.1%); b) Class 2, the depression/cardiovascular disease/cancer class (17.5%); and c) Class 3, hypertension/chronic kidney disease class (10.4%). Classes 2 and 3 showed higher mortality risk than the healthiest class. After adjusting, Class 2 showed 45% higher mortality risk, and Class 3 98% higher mortality risk, compared with the healthiest class. Hypertension appeared to be a critical underlying factor of all-cause morbidity. Particular combinations of chronic diseases have a higher excess risk of mortality than others.

Trends in Cardiovascular Disease Mortality by County-Level Social Vulnerability Index in the United States.

Background Although cardiovascular mortality (CVM) rates in the United States have been declining overall, our study evaluated whether this holds true for areas with increased social deprivation. Methods and Results We used county-level cross-sectional age-adjusted CVM rates (aa-CVM) (2000-2019) linked to the Centers for Disease Control and Prevention Social Vulnerability Index (SVI-2010). We grouped counties as per SVI (Groups I 0-0.2, II 0.21-0.4, III 0.41-0.6, IV 0.61-0.8, and V 0.81-1) and calculated the relative change in the aa-CVM between 2000 to 2003 and 2016 to 2019. We used adjusted linear regression analyses to explore the association between a higher SVI and temporal aa-CVM improvement; we studied this temporal change in aa-CVM across subgroups of race, sex, and location. The median aa-CVM rate (per 100 000) was 272.6 (interquartile range [IQR]: 237.5-311.7). The aa-CVM was higher in men (315.6 [IQR: 273.4-363.9]) than women (221.3 [IQR: 189.6-256.7]), and in Black residents (347.2 [IQR: 301.1-391.1]; P<0.001) than White residents (258.9 [IQR: 226-299.1]; P<0.001). The aa-CVM for SVI I (233.6 [IQR: 214.8-257.0]) was significantly lower than that of group V (323.6 [IQR: 277.2-359.2]; P<0.001). The relative reduction in CVM was significantly higher for SVI group I (32.2% [IQR: 24.2-38.4]) than group V (27.2% [IQR: 19-34.1]) counties. After multivariable adjustment, a higher SVI index was associated with lower relative improvement in the age-adjusted CVM (model coefficient -3.11 [95% CI, -5.66 to -1.22]; P<0.001). Conclusions Socially deprived counties in the United States had higher aa-CVM rates, and the improvement in aa-CVM over the past 20 years was lower in these counties.

Folic Acid Supplementation during Pregnancy and Its Association with Telomere Length in Children at Four Years: Results from the INMA Birth Cohort Study.

This study examined the association between folic acid supplements (FAs) during different periods of pregnancy and offspring telomere length (TL) at age four in 666 children from the INMA study. FAs were self-reported using food-structured questionnaires during three periods of pregnancy (the first three months of pregnancy, from month fourth onward, and the whole pregnancy). For each period, the average daily dosage of FAs was categorised into (i) <400 µg/d, (ii) ≥400 to 999 µg/d, (iii) ≥1000 to 4999 µg/d, and (iv) ≥5000 µg/d. Leucocyte TL at age four was measured using quantitative PCR methods. Multiple robust linear log-level regression models were used to report the % difference among FA categories. During the first period, and compared with children whose mothers were classified in the reference group (<400 µg/d), children whose mothers took higher dosages of FAs showed shorter TL at age four (≥5000 µg/d). When the first and the second periods were mutually adjusted, children whose mothers self-reported ≥5000 µg/d during the first period of pregnancy had a statistically significant shorter TL than their counterparts (% difference: -7.28% [95% CI: -14.42 to -0.13]). Similar trends were observed for the whole period of pregnancy. When the analysis was stratified by sex, the association was more evident in boys (% difference: -13.5% [95% CI: -23.0 to -4.04]), whereas no association was observed in girls. This study suggests that high dosages of FAs in the first pregnancy period may be associated with a shorter TL in children at age four, particularly among boys. Further studies should confirm these results.

Associations and predictive performance of 11 anthropometric measures with incident type 2 diabetes: A prospective cohort study from the UK Biobank.

OBJECTIVE: The study aim was to investigate associations of 11 anthropometric measures with incident type 2 diabetes and compare their predictive performance. METHODS: This prospective cohort study included 161,127 White European UK Biobank participants who were free of diabetes at baseline. Anthropometric measures included height, weight, BMI, A Body Shape Index, waist circumference, waist to hip ratio, waist to height ratio (WHtR), hip circumference, visceral adiposity index, hip index, and anthropometric risk index. The associations were examined using Cox proportional hazard models. The differences in C-index were used to compare predictive performance between BMI and other anthropometric measures. RESULTS: The median follow-up was 10.0 (interquartile range: 9.3-10.8) years, during which 6315 participants developed type 2 diabetes. All markers except height and hip index were positively associated with incident type 2 diabetes. The strongest associations were found for WHtR (hazard ratio per 1-SD increment: 2.27 [95% CI 2.19-2.35] in women; 1.96 [95% CI 1.90-2.01] in men). Compared with BMI, WHtR and anthropometric risk index had significantly better type 2 diabetes risk discrimination. CONCLUSIONS: Although most adiposity markers were associated with type 2 diabetes, the magnitude of the associations differed. WHtR had the strongest associations and predictive ability for type 2 diabetes and thus could be a more suitable marker for clinical use.

Vegetarians: Past, Present, and Future Regarding Their Diet Quality and Nutritional Status.

The term "vegetarian" usually refers to individuals who exclude meat, fish, poultry and/or their derived products from their diet [...].

Artificial intelligence for dementia-Applied models and digital health.

INTRODUCTION: The use of applied modeling in dementia risk prediction, diagnosis, and prognostics will have substantial public health benefits, particularly as "deep phenotyping" cohorts with multi-omics health data become available. METHODS: This narrative review synthesizes understanding of applied models and digital health technologies, in terms of dementia risk prediction, diagnostic discrimination, prognosis, and progression. Machine learning approaches show evidence of improved predictive power compared to standard clinical risk scores in predicting dementia, and the potential to decompose large numbers of variables into relatively few critical predictors. RESULTS: This review focuses on key areas of emerging promise including: emphasis on easier, more transparent data sharing and cohort access; integration of high-throughput biomarker and electronic health record data into modeling; and progressing beyond the primary prediction of dementia to secondary outcomes, for example, treatment response and physical health. DISCUSSION: Such approaches will benefit also from improvements in remote data measurement, whether cognitive (e.g., online), or naturalistic (e.g., watch-based accelerometry).

ART in Latin America: the Latin American Registry, 2020.

RESEARCH QUESTION: What was the utilization, effectiveness and safety of assisted reproductive technology (ART) in Latin America during 2020? DESIGN: Retrospective collection of multinational data on ART performed by 188 institutions in 16 countries. RESULTS: Overall, 87,732 initiated cycles resulted in 12,778 deliveries and 14,582 births. The major contributors were Brazil (46.0%), Mexico (17.0%) and Argentina (16.8%). However, the highest utilization (cycles/million inhabitants) was Uruguay with 558, followed by Argentina with 490 and Panama with 425 cycles/million. Globally, women aged ≥40 years increased to 34% while women ≤34 dropped to 24.7%. After removing freeze-all cycles, the delivery rate per oocyte retrieval was 14.8% for intracytoplasmic sperm injection and 15.6% for IVF. Single-embryo transfer (SET) represented 38.3% of all fresh transfers, with delivery rate per transfer of 20.0%; this increased to 32.4% for elective SET (eSET) and 34.2% for blastocyst eSET, compared with blastocyst elective double embryo transfer (eDET) of 37.9%. However, multiple births increased from 1% in eSET to 30.5% in eDET. Perinatal mortality increased from 7.7‰ in singletons to 24.4‰ in twins and 64.0‰ in triplets. Frozen embryo transfer (FET) represented 66.6% of all transfers, with a delivery rate/transfer of 29.0%, significantly higher than 23.9% after fresh transfers at all ages (p<0.0001). Preimplantation genetic testing, reported in 8920 cycles, significantly improved delivery rate and decreased miscarriage rates at all ages (p≤0.041), including oocyte donation (p=0.002). Endometriosis was diagnosed in 28.3% of cases. The delivery rate in 5779 women after removal of peritoneal endometriosis was significantly better than tubal and endocrine factors in women aged 35-39 (p=0.0004) and women aged ≥40 (p=0.0353). CONCLUSIONS: Systematic collection and analysis of big data in a south-south cooperation model allow regional growth by implementing evidence-based reproductive decisions.

Plant-Based Nutrition: Exploring Health Benefits for Atherosclerosis, Chronic Diseases, and Metabolic Syndrome-A Comprehensive Review.

Atherosclerosis, chronic non-communicable diseases, and metabolic syndrome are highly interconnected and collectively contribute to global health concerns that reduce life expectancy and quality of life. These conditions arise from multiple risk factors, including inflammation, insulin resistance, impaired blood lipid profile, endothelial dysfunction, and increased cardiovascular risk. Adopting a plant-based diet has gained popularity as a viable alternative to promote health and mitigate the incidence of, and risk factors associated with, these three health conditions. Understanding the potential benefits of a plant-based diet for human health is crucial, particularly in the face of the rising prevalence of chronic diseases like diabetes, hypertension, dyslipidemia, atherosclerosis, and cancer. Thus, this review focused on the plausible advantages of consuming a type of food pattern for the prevention and/or treatment of chronic diseases, emphasizing the dietary aspects that contribute to these conditions and the evidence supporting the benefits of a plant-based diet for human health. To facilitate a more in-depth analysis, we present separate evidence for each of these three concepts, acknowledging their intrinsic connection while providing a specific focus on each one. This review underscores the potential of a plant-based diet to target the underlying causes of these chronic diseases and enhance health outcomes for individuals and populations.