Change in physical activity and its association with decline in kidney function: A UK Biobank-based cohort study.

BACKGROUND: Previous research on the association between physical activity (PA) and kidney function is inconsistent. The association between muscle mass and serum creatinine (SCr) may have implications for interpreting the effect of PA on estimated glomerular filtration rate (eGFR). Few studies have reported changes in physical activity and changes in kidney function. METHODS: A cohort study was constructed using the UK Biobank. Changes in physical activity were self-reported as metabolic equivalent task (MET) minutes/week. eGFR was calculated using SCr and cystatin C (CysC). Cox and nonlinear regressions with restricted cubic splines were applied to explore the association between changes in physical activity and rapid decline of kidney function (RDKF, eGFR annual decrease ≥3 mL/min/1.73 m2), and the annual change of eGFR. An exploratory analysis of cardiorespiratory fitness as the exposure was conducted. RESULTS: Among 11 757 participants, the median follow-up time was 4.4 years. Participants whose PA decreased by 1000 MET minutes/week at the follow-up assessment had a 2% reduction in risk of developing RDKFSCr (HR = 0.98, 95% CI: 0.96, 1.00). In contrast, a 1000 MET minutes/week increase in PA was associated with a 4% reduction in risk of developing RDKFCysC (HR = 0.96, 95% CI: 0.93, 0.99). A PA increase of 1000 MET minutes/week was associated with eGFRCysC annual increase of 0.04 mL/min/1.73 m2 (95% CI: 0.03, 0.06) but no significant changes in eGFRSCr. CONCLUSIONS: In this general population study, there are differing associations between changes in PA and changes in kidney function depending on the kidney biomarker used. Increasing PA is modestly associated with improving annual eGFRCysC and reduced risk of RDKF.

How do lifestyle factors modify the association between genetic predisposition and obesity-related phenotypes? A 4-way decomposition analysis using UK Biobank.

BACKGROUND: Obesity and central obesity are multifactorial conditions with genetic and non-genetic (lifestyle and environmental) contributions. There is incomplete understanding of whether lifestyle modifies the translation from respective genetic risks into phenotypic obesity and central obesity, and to what extent genetic predisposition to obesity and central obesity is mediated via lifestyle factors. METHODS: This is a cross-sectional study of 201,466 (out of approximately 502,000) European participants from UK Biobank and tested for interactions and mediation role of lifestyle factors (diet quality; physical activity levels; total energy intake; sleep duration, and smoking and alcohol intake) between genetic risk for obesity and central obesity. BMI-PRS and WHR-PRS are exposures and obesity and central obesity are outcomes. RESULTS: Overall, 42.8% of the association between genetic predisposition to obesity and phenotypic obesity was explained by lifestyle: 0.9% by mediation and 41.9% by effect modification. A significant difference between men and women was found in central obesity; the figures were 42.1% (association explained by lifestyle), 1.4% (by mediation), and 40.7% (by modification) in women and 69.6% (association explained by lifestyle), 3.0% (by mediation), and 66.6% (by modification) in men. CONCLUSIONS: A substantial proportion of the association between genetic predisposition to obesity/central obesity and phenotypic obesity/central obesity was explained by lifestyles. Future studies with repeated measures of obesity and lifestyle would be needed to clarify causation.

Construcción de la alimentación en trayectorias vitales de personas mayores

Introducción: La alimentación se construye a partir de experiencias y significados adquiridos en el curso de la vida. Las personas mayores tienen un acervo importante que informa de valores y prácticas culturales aplicadas a la alimentación. El objetivo del estudio fue interpretar los significados que entregan personas mayores a la construcción de su alimentación en trayectorias del curso de vida. Métodos: La investigación utilizó un enfoque cualitativo de alcance exploratorio, utilizando el método de teoría fundamentada de Strauss y Corbin. Para la recolección de datos se aplicó una entrevista semiestructurada entre julio de 2021 y junio de 2022. El tipo de muestreo fue teórico y el análisis de los datos cualitativos respondió al proceso de codificación abierta, axial y selectiva. Resultados: Participaron 54 personas mayores (72% mujeres) con edad promedio de 68,6 años (6,9 años). Las personas mayores construyeron su alimentación con un alto significado a las comidas caseras, con influencia de género femenino durante la niñez y adolescencia. En la adultez, se reconstruye la alimentación al ingresar al mundo laboral. En la actualidad, cimentan la alimentación con un enfoque de cuidados para su salud. Reconocen transiciones y puntos de inflexión en la alimentación provocados por terremotos, pandemia por COVID-19, situación política en el país, embarazos o el diagnóstico de alguna enfermedad crónica. Discusión: Las personas mayores reconocen diversas vivencias en trayectorias vitales que han marcado sus patrones alimentarios. Estas experiencias de vida pueden ser la base de estrategias o acciones en la práctica clínica que aporten a su bienestar.

Introduction: Food is intricately woven into the fabric of our experiences and the meanings accumulated throughout life. Older people possess a rich cultural heritage that shapes the values and practices surrounding food.The aim of the study was to interpret the meanings attributed to older people to the construction of their feeding in life course trajectories. Methods: The research employed a qualitative exploratory approach, utilizing the Grounded Theory method developed by Strauss and Corbin. Data collection took place through semi-structured interviews conducted between July 2021 and June 2022. The sampling method employed was theoretical, and the analysis of qualitative data followed the open, axial, and selective coding process. Results: A total of 54 older individuals (72% women), with an average age of 68.6 years (6,9 years), participated in the study. These individuals constructed their relationship with food, assigning significant value to homemade meals, influenced by gender roles during childhood and adolescence. In adulthood, the relationship with food transformed with entry into the workforce. Currently, their feeding are guided by a health-centric approach. They recognize transitions and turning pointsin food provoked by earthquakes, pandemic by COVID-19, political situation in the country, pregnancies or the diagnosis of a chronic disease. Discussion: Older people recognize a multitude of life experiences that have left imprints on their eating patterns. These life experiences can be the basis for strategies or actions in clinical practice that contribute to their well-being.

Machine learning-based classifiers to predict metastasis in colorectal cancer patients.

Background: The increasing prevalence of colorectal cancer (CRC) in Iran over the past three decades has made it a key public health burden. This study aimed to predict metastasis in CRC patients using machine learning (ML) approaches in terms of demographic and clinical factors. Methods: This study focuses on 1,127 CRC patients who underwent appropriate treatments at Taleghani Hospital, a tertiary care facility. The patients were divided into training and test datasets in an 80:20 ratio. Various ML methods, including Naive Bayes (NB), random rorest (RF), support vector machine (SVM), neural network (NN), decision tree (DT), and logistic regression (LR), were used for predicting metastasis in CRC patients. Model performance was evaluated using 5-fold cross-validation, reporting sensitivity, specificity, the area under the curve (AUC), and other indexes. Results: Among the 1,127 patients, 183 (16%) had experienced metastasis. In the predictionof metastasis, both the NN and RF algorithms had the highest AUC, while SVM ranked third in both the original and balanced datasets. The NN and RF algorithms achieved the highest AUC (100%), sensitivity (100% and 100%, respectively), and accuracy (99.2% and 99.3%, respectively) on the balanced dataset, followed by the SVM with an AUC of 98.8%, a sensitivity of 97.5%, and an accuracy of 97%. Moreover, lower false negative rate (FNR), false positive rate (FPR), and higher negative predictive value (NPV) can be confirmed by these two methods. The results also showed that all methods exhibited good performance in the test datasets, and the balanced dataset improved the performance of most ML methods. The most important variables for predicting metastasis were the tumor stage, the number of involved lymph nodes, and the treatment type. In a separate analysis of patients with tumor stages I-III, it was identified that tumor grade, tumor size, and tumor stage are the most important features. Conclusion: This study indicated that NN and RF were the best among ML-based approaches for predicting metastasis in CRC patients. Both the tumor stage and the number of involved lymph nodes were considered the most important features.

Abbreviated Score to Assess Adherence to the 2018 WCRF/AICR Cancer Prevention Recommendations and Risk of Cancer in the UK Biobank.

BACKGROUND: The World Cancer Research Fund (WCRF)/American Institute for Cancer Research (AICR) Cancer Prevention Recommendations are lifestyle-based guidelines which aim to reduce cancer risk. This study investigated, in the UK Biobank, associations between an abbreviated score to assess adherence to these Recommendations and the risk of all cancers combined and of 14 cancers for which there is strong evidence for links with diet, adiposity, and physical activity. METHODS: We used data from 288,802 UK Biobank participants (mean age 56.2 years), cancer-free at baseline. An abbreviated version of the 2018 WCRF/AICR Score was calculated to assess adherence to five Recommendations on (i) body weight, (ii) physical activity, (iii) fruits, vegetables, and dietary fiber, (iv) red and processed meat, and (v) alcohol. Multivariable Cox proportional hazards models were used to analyze associations between the abbreviated score (range, 0-5 points) and cancer incidence, adjusting for confounders. RESULTS: During a median follow-up of 8.2 years (interquartile range, 7.4-8.9), 23,448 participants were diagnosed with cancer. The abbreviated score was inversely associated with risk of cancer overall [HR: 0.93; 95% confidence interval (CI): 0.92-0.95 per 1-point increment], and breast (HR: 0.90; 95% CI: 0.87-0.94), colorectal (HR: 0.86; 95% CI: 0.83-0.90), lung (HR: 0.89; 95% CI: 0.84-0.94), kidney (HR: 0.83; 95% CI: 0.76-0.90), pancreatic (HR: 0.86; 95% CI: 0.79-0.94), uterine (HR: 0.79; 95% CI: 0.73-0.86), esophageal (HR: 0.82; 95% CI: 0.75-0.90), stomach (HR: 0.89; 95% CI: 0.79-0.99), and liver (HR: 0.80; 95% CI: 0.72-0.90) cancers. CONCLUSIONS: Greater adherence to the Cancer Prevention Recommendations, assessed using an abbreviated score, was associated with reduced risk of all cancers combined and of nine site-specific cancers. IMPACT: Our findings support compliance to these Recommendations for cancer prevention.

Different Sources of Fiber Intake and Risk of 17 Specific Cancers and All Cancers Combined: Prospective Study of 364,856 Participants in the UK Biobank.

Inverse associations between dietary fiber (DF) and colorectal cancer risk are well-established. However, evidence is limited in relation to other cancer sites. This study, of 364,856 participants from the UK Biobank, aimed to evaluate the associations between total and source-specific partial DF and risk of 17 specific cancers and all cancers combined. Partial DF was derived from baseline touchscreen questionnaire data on cereal, bread, fruit, and vegetable intake. The outcomes were incident cancer at 17 sites and all cancers combined. Cox proportional hazards models were applied. Over a median 8.8-year follow-up period, 30,725 people were diagnosed with cancer. After adjusting for sociodemographic and lifestyle factors, those in the highest quintile of partial DF compared with the lowest quintile (<9.6 vs ≥19.1 g/day) had 10% lower risk of cancer overall, with the greatest risk reductions observed for cervical (hazard ratio (HR) = 0.33, 95% confidence interval (CI): 0.14; 0.82), esophageal (HR = 0.66, 95% CI: 0.52; 0.84), lung (HR = 0.67, 95% CI: 0.59; 0.76), bladder (HR = 0.72, 95% CI: 0.56; 0.91), and kidney (HR = 0.75, 95% CI: 0.61; 0.92) cancers. Associations between DF and lung cancer were observed only in current and former smokers. Higher DF intake, in particular cereal fiber and fruit and vegetable fiber, was associated with a lower risk of overall and multiple site-specific cancers.

Association of Stair Use With Risk of Major Chronic Diseases.

INTRODUCTION: Physical inactivity is associated with a higher risk of chronic diseases. Regular stair use can contribute to increasing physical activity in the population. This study aimed to investigate the association between flights of stairs used daily at home and all-cause mortality and cause-specific incidence and mortality. METHODS: Of the 502,628 UK Biobank participants recruited between 2007 and 2010, 442,027 (mean age, 56±8 years) had available data and were included in the analyses conducted in 2023. Participants were categorized on the basis of flights of stairs climbed daily (1-5, 6-10, 11-15, >15). The disease-specific outcomes were cardiovascular disease, respiratory disease, cancer, type 2 diabetes, and all-cause dementia. Cox proportional hazard models, adjusted for sociodemographic, lifestyle, and health-related confounding factors, were used to analyze the associations between stair use frequency and health outcomes. RESULTS: Participants were followed up for a median of 10.9 years. Climbing stairs >15 times per day was associated with a lower risk of 8 of the 9 outcomes analyzed than not using stairs. The magnitude of association ranged from 3% (95% CI=0.94, 0.99) lower risk for all-cause cancer to 51% (95% CI=0.39, 0.60) lower risk of chronic obstructive pulmonary disease. Findings were similar for mortality outcomes, with the hazard ratios ranging from 0.82 (95% CI=0.77, 0.87) for all-cause cancer to 0.46 (95% CI=0.23, 0.92) for chronic obstructive pulmonary disease mortality. CONCLUSIONS: Stair use was associated with a lower risk of all-cause mortality and cause-specific incidence and mortality independent of confounding factors, including adiposity and multimorbidity.

Socio-demographic variation in adherence to the World Cancer Research Fund (WCRF)/American Institute for Cancer Research (AICR) Cancer Prevention Recommendations within the UK Biobank prospective cohort study.

BACKGROUND: The 2018 (WCRF)/American Institute for Cancer Research (AICR) Cancer Prevention Recommendations are evidence-based lifestyle recommendations which aim to reduce the risk of cancer worldwide. Sociodemographic factors modulate lifestyle behaviours, and both cancer incidence and survival are socio-economically patterned. We investigated adherence to these recommendations and examined patterns of adherence across sociodemographic subgroups in the UK Biobank cohort. METHODS: We included 158 415 UK Biobank participants (mean age 56 years, 53% female). Total adherence scores were derived from dietary, physical activity and anthropometric data using the 2018 WCRF/AICR standardized scoring system. One-Way analysis of variance (ANOVA) was used to test for differences in total scores and in values for individual score components according to sociodemographic factors and Pearson's Χ2 test to investigate associations between sociodemographic factors according to tertiles of adherence score. RESULTS: Mean total adherence score was 3.85 points (SD 1.05, range 0-7 points). Higher total scores were observed in females, and older (>57 years), Chinese or South Asian, and more educated participants. We found significant variations in adherence to individual recommendations by sociodemographic factors including education, Townsend deprivation index and ethnicity. CONCLUSIONS: Identifying and understanding lifestyle and dietary patterns according to sociodemographic factors could help to guide public health strategies for the prevention of cancers and other non-communicable diseases.

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.

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.

Adherence to the 2018 World Cancer Research Fund (WCRF)/American Institute for Cancer Research (AICR) Cancer Prevention Recommendations and risk of 14 lifestyle-related cancers in the UK Biobank prospective cohort study.

BACKGROUND: The World Cancer Research Fund (WCRF)/American Institute for Cancer Research (AICR) Cancer Prevention Recommendations are lifestyle-based recommendations which aim to reduce cancer risk. This study investigated associations between adherence, assessed using a standardised scoring system, and the risk of all cancers combined and of 14 cancers for which there is strong evidence for links with aspects of lifestyle in the UK. METHODS: We used data from 94,778 participants (53% female, mean age 56 years) from the UK Biobank. Total adherence scores (range 0-7 points) were derived from dietary, physical activity, and anthropometric data. Associations between total score and cancer risk (all cancers combined; and prostate, breast, colorectal, lung, uterine, liver, pancreatic, stomach, oesophageal, head and neck, ovarian, kidney, bladder, and gallbladder cancer) were investigated using Cox proportional hazard models, adjusting for age, sex, deprivation index, ethnicity, and smoking status. RESULTS: Mean total score was 3.8 (SD 1.0) points. During a median follow-up of 8 years, 7296 individuals developed cancer. Total score was inversely associated with risk of all cancers combined (HR: 0.93; 95%CI: 0.90-0.95 per 1-point increment), as well as breast (HR: 0.90; 95%CI: 0.86-0.95), colorectal (HR: 0.90; 95%CI: 0.84-0.97), kidney (HR: 0.82; 95%CI: 0.72-0.94), oesophageal (HR: 0.84; 95%CI: 0.71-0.98), ovarian (HR: 0.76; 95%CI: 0.65-0.90), liver (HR: 0.78; 95%CI: 0.63-0.97), and gallbladder (HR: 0.70; 95%CI: 0.53-0.93) cancers. CONCLUSIONS: Greater adherence to lifestyle-based recommendations was associated with reduced risk of all cancers combined and of breast, colorectal, kidney, oesophageal, ovarian, liver, and gallbladder cancers. Our findings support compliance with the Cancer Prevention Recommendations for cancer prevention in the UK.

Efecto del sedentarismo sobre la interacción entre el gen FTO y niveles de adiposidad en adultos chilenos - Resultados del Estudio GENADIO / Effect of Sedentary behaviors on the Interaction Between the FTO Gene and Adiposity Levels in Chilean Adults - Results from the GENADIO Study

ANTECEDENTES: Tanto el gen FTO (Fat-mass and obesity-associated-gene) y el tiempo sedente se asocian a obesidad, sin embargo, se desconoce si el tiempo sedente puede modificar la predisposición genética a la obesidad. Por ende, el objetivo de este estudio fue investigar si la asociación entre el polimorfismo rs9939609 del gen FTO y marcadores de adiposidad podrían ser modificados por el tiempo sedente. MÉTODOS: Este estudio de corte transversal incluye a 409 participantes del estudio GENADIO. Los marcadores de adiposidad estudiados fueron peso corporal, índice de masa corporal (IMC), perímetro de cintura (PC) y porcentaje masa grasa. El tiempo sedente se determinó mediante acelerometría de movimiento. La interacción entre el gen FTO (rs9939609) y el tiempo sedente sobre los marcadores de adiposidad se determinó mediante análisis de regresión múltiple. RESULTADOS: Tanto la variante de riesgo del gen FTO como el tiempo sedente se asociaron a mayor peso corporal, IMC, PC y masa grasa. Sin embargo, la asociación entre tiempo sedente y marcadores de adiposidad fue mayor en personas portadoras del alelo de riesgo del gen FTO. Por cada 1 hora de incremento en tiempo sedente, el peso corporal incrementa en 1,36 kg ([95% IC: 0,27; 2,46], p = 0,015) y 2,95 kg ([95% IC: 1,24; 4,65], p = 0,001) en personas con la variante protectora (TT) versus aquellos con la variante de riesgo (AA), respectivamente. Resultados similares se encontraron para (PC). CONCLUSIÓN: La asociación entre la variante de riesgo de FTO y mayor nivel de adiposidad es más acentuada en individuos que presentan mayores niveles de sedentarismo.

BACKGROUND: The Fat-mass and obesity-associated-gene (FTO gene) and sedentary behavior time are associated with obesity. However, whether sedentary behavior time can modify the genetic predisposition to obesity in the Chilean population is unknown. Therefore, this study investigated the association between sedentary behavior, adiposity markers, and the FTO gene. METHODS: This cross-sectional study included 409 participants from the Genes, Environment, Diabetes, and Obesity (GENADIO) study. Adiposity markers studied included body weight, body mass index (BMI), waist circumference (WC), and fat mass. Sedentary behaviors were measured using accelerometers. Using multiple regression, we evaluated the interaction between sedentary behaviors and the FTO gene (rs9939609) on adiposity markers. RESULTS: Sedentary behaviors and the FTO genotype were positively associated with higher body weight, BMI, WC, and fat mass. However, the association between time of sedentary behavior and adiposity markers was higher in carriers of the risk variant for the FTO gene. For each hour of increment in sedentary behaviors, body weight increases by 1.36 kg ([95% CI: 0.27; 2.46], p = 0.015) and 2.95 kg ([95%CI: 1.24; 4.65], p = 0.001) in non-risk carriers (TT) versus risk carriers (AA), respectively. We observed similar results for WC, BMI, and body fat, but the interaction was significant only for WC. CONCLUSION: The association between sedentary behaviors and adiposity markers, especially body weight and WC, is higher in individuals who carry the risk variant of the FTO gene.

Association Between the AHA Life's Essential 8 Score and Incident All-Cause Dementia: A Prospective Cohort Study from UK Biobank.

This study aimed to investigate the association between the Life's Essential 8 (LE8) score and incident all-cause dementia (including Alzheimer's disease [AD] and vascular dementia) in UK Biobank. A total of 259,718 participants were included in this prospective study. Smoking, non-HDL cholesterol, blood pressure, body mass index, HbA1c, physical activity, diet, and sleep were used to create the Life's Essential 8 (LE8) score. Associations between the score (both continuous and as quartiles) and outcomes were investigated using adjusted Cox proportional hazard models. The potential impact fractions of 2 scenarios and the rate advancement periods were also calculated. Over a median follow-up of 10.6 years, 4958 participants were diagnosed with any dementia. Higher LE8 scores were associated with lower risk of all-cause and vascular dementia in an exponential decay pattern. Compared with individuals in the healthiest quartile, those in the least healthy quartile had a higher risk of all-cause dementia (HR: 1.50 [95% CI: 1.37-1.65] and vascular dementia (HR: 1.86 [1.44-2.42]). A targeted intervention that increased the score by 10-points among individuals in the lowest quartile could have prevented 6.8% of all-cause dementia cases. Individuals in the least healthy LE8 quartile might develop all-cause dementia 2.45 years earlier than their counterparts. In conclusion, individuals with higher LE8 scores had lower risk of all-cause and vascular dementia. Because of nonlinear associations, interventions targeted at the least healthy individuals might produce greater population-level benefits.

Adherence to the 2018 World Cancer Research Fund/American Institute for Cancer Research Cancer Prevention Recommendations and cancer risk: A systematic review and meta-analysis.

BACKGROUND: The World Cancer Research Fund/American Institute for Cancer Research Cancer Prevention Recommendations are lifestyle-based guidelines that aim to reduce cancer risk. A systematic review and meta-analysis of studies investigating associations between a score for adherence to the 2018 Cancer Prevention Recommendations and cancer risk was conducted. METHODS: MEDLINE, Embase, Web of Science, and Scopus were searched for studies published to November 28, 2022. In meta-analysis, the estimated risk ratios and 95% CIs for adherence score as a continuous (per 1-point increment) and categorical (highest vs. lowest score category) variable using random-effects models were estimated. RESULTS: Eighteen studies (11 cohort; seven case-control) were included investigating incidence of breast (n = 7), colorectal (n = 5), prostate (n = 2), lung (n = 2), pancreatic (n = 1), endometrial (n = 1), unknown primary cancer (n = 1), chronic lymphocytic leukemia (n = 1), and overall (any) cancer (n = 1). The summary risk ratio per 1-point increment in adherence score was 0.89 (95% CI, 0.85-0.93; I2  = 76.5%; n = 7) for breast cancer, 0.88 (95% CI, 0.84-0.91; I2  = 26.2%; n = 4) for colorectal cancer, and 0.92 (95% CI, 0.86-0.98, I2  = 66.0%; n = 2) for lung cancer. There were no significant associations with prostate or other cancers. Meta-analysis results using categorical adherence score variables were consistent with these findings. CONCLUSIONS: Greater adherence to the 2018 World Cancer Research Fund/American Institute for Cancer Research Cancer Prevention Recommendations was associated with lower risk of breast, colorectal, and lung cancers. Future studies investigating associations with risk of other forms of cancer are warranted. PROSPERO REGISTRATION NUMBER: CRD42022313327.

Índice de obesidad ABSI y su asociación con diabetes mellitus tipo 2 en adultos chilenos: un estudio transversal de la ENS 2016-2017 / ABSI obesity index and its association with type 2 diabetes mellitus in Chilean adults: a cross-sectional study of the ENS 2016-2017

INTRODUCCIÓN: El nuevo índice de obesidad basado en el volumen corporal (ABSI) ha sido asociado con enfermedades crónicas no transmisibles y mortalidad, independientemente de los valores del índice de masa corporal (IMC); sin embargo, se desconoce su asociación con diabetes mellitus tipo 2 (DMT2) en población chilena. OBJETIVO: determinar la asociación entre ABSI con glicemia, hemoglobina glicosilada (HbAc1) y DMT2 en población adulta chilena. MATERIALES Y MÉTODOS: Estudio transversal, incluyó a 4.874 participantes (edad media 43,3 años, 50,9% mujeres) de la Encuesta Nacional de Salud 2016-2017. ABSI fue calculado según la fórmula propuesta (basado en circunferencia de cintura, IMC y estatura. La Regresión de Poisson fue utilizada para investigar la asociación entre ABSI con DMT2 y regresión lineal para glicemia y HbAc1. Los análisis se ajustaron según factores sociodemográficos, de estilos de vida e IMC. RESULTADOS: ABSI fue positivamente asociado con glicemia (p < 0,001), HbA1c (p < 0,001) y DMT2 (p < 0,001). En el modelo más ajustado, por cada 0.025 unidad de aumento de ABSI, la glicemia aumentó en 1,78 mg/dL (95% IC: 1,21; 2,35) y la HbAc1en un 0,92% (95% IC: 0,49; 1,35). En cuanto a DMT2, la razón de prevalencia fue de 1,14 (95% IC: 1,09; 1,20), independiente de factores sociodemográficos, estilos de vida e IMC. CONCLUSIONES: ABSI se asoció de forma lineal con una mayor probabilidad de padecer DMT2, mayores niveles de glicemia y HbA1c en adultos chilenos. En este contexto, ABSI podría ser un índice complementario, independiente del IMC, para evaluar el riesgo de alteraciones metabólicas asociadas a obesidad.

INTRODUCTION: A Body Shape Index (ABSI) is a new obesity index based on body volume; this has been associated with chronic non-communicable diseases and mortality, independent of the values of the body mass index (BMI); however, its association with type 2 diabetes mellitus (T2DM) in the Chilean adult population is unknown. OBJECTIVE: To determine the association between ABSI, glycemia, glycosylated hemoglobin (HbAc1), and self-reported T2DM in the Chilean adult population. MATERIALS AND METHODS: In a cross-sectional study, 4,874 participants were included (mean age 43.3 years, 50.9% women) from the 2016-2017 National Health Survey. ABSI was calculated according to the proposed formula (based on waist circumference, BMI, and height). The Poisson regression was used to investigate the association between ABSI and T2DM, and linear regression was used to investigate the association between ABSI, glycemia, and HbAc1. Sociodemographic factors, lifestyle, and BMI adjusted the analyses. RESULTS: ABSI was positively associated with glycemia (p < 0.001), HbA1c (p < 0.001), and DMT2 (p < 0.001). In the most adjusted model, for every 0.025 unit increase in ABSI, glycemia increased by 1.78 mg/dL (95% CI: 1.21, 2.35) and HbAc1 by 0.92% (95% CI: 0.49, 1.35). Regarding T2DM, the prevalence ratio was 1.14 (95% CI: 1.09, 1.20), independent of sociodemographic factors, lifestyles, and BMI. CONCLUSIONS: ABSI was linearly associated with a higher probability of suffering from T2DM and higher levels of glycemia and HbA1c in Chilean adults. In this context, ABSI could be a complementary index, independent of BMI, to assess the risk of metabolic disorders associated with obesity.

Dose-Response Associations of Dietary Inflammatory Potential With Health Outcomes: A Prospective Cohort Study of 198,265 UK Biobank Participants.

To investigate the dose-response associations of dietary inflammatory potential with all-cause mortality and incident cardiovascular disease (CVD) and cancer. METHODS: This was a prospective cohort study of 198,265 UK Biobank participants who completed at least 1 dietary assessment. A web based 24 hours recall questionnaire was used to derive the energy-adjusted dietary inflammatory index (E-DII). All-cause mortality and incident CVD and cancer ascertained from linked records. RESULTS: After adjusting for socio-demographic and lifestyle factors, there were J-shaped associations of E-DII with all-cause mortality and CVD, and a relatively linear association with cancer. When E-DII was <0, E-DII was not associated with any of the outcomes. When E-DII was ≥0, the linear associations were strongest in all-cause mortality (HR 1.09, 95% CI, 1.05-1.13), followed by CVD (HR 1.06, 95% CI, 1.03-1.09), and cancer (HR 1.03, 95%,CI, 1.01-1.05). CONCLUSION: Dietary inflammatory potential was associated with mortality and CVD primarily when the diet is proinflammatory.

Asociación entre bajos niveles de vitamina D y deterioro cognitivo en personas mayores chilenas: Resultados de la Encuesta Nacional de Salud 2016-2017 / Association between low vitamin D levels and cognitive impairment in Chilean older adults: findings of the National Health Survey 2016-2017

INTRODUCTION: Recent studies have shown that low vitamin D levels constitute a potential risk factor for the development of cognitive impairment. The present study aimed to investigate the association between vitamin D levels and the suspicion of cognitive impairment in Chilean older adults. MATERIAL AND METHOD: We performed a cross-sectional study, including 1,287 participants ≥ 65 years (56.8% were women, age range 65 to 97 years) from the Chilean National Health Survey. Cognitive impairment was assessed using the Mini Mental State Examination (MMSE). Participants were classified into three groups according to their vitamin D levels (> 29 ng/ml sufficient, 12-29 ng/ml deficit, and < 12 ng/ml severe deficit). The association between vitamin D levels and cognitive impairment was explored using logistic regression analysis, adjusted for confounding factors. RESULTS: The prevalence of vitamin D deficit and vitamin D severe deficit was 37.7% and 21.0%, respectively. Compared to older adults with sufficient levels of vitamin D, those with severe deficits had a 94% (OR: 1.94 [95% IC: 1.27; 1.66], p = 0.002) higher odds of cognitive impairment (unadjusted model). Adjusting according to sociodemographic factors, lifestyle, adiposity, sunlight exposure, and multimorbidity slightly attenuated the association to 61% (OR: 1.61 [95%IC: 1.03; 2.19], p = 0.046), but remain significant. CONCLUSION: A severe deficit of vitamin D was associated with higher odds of cognitive impairment in Chilean older adults independent of major confounding factors. Future studies are needed to provide causal evidence between vitamin D and the suspicion of cognitive impairment.

Predicting metastasis in gastric cancer patients: machine learning-based approaches.

Gastric cancer (GC), with a 5-year survival rate of less than 40%, is known as the fourth principal reason of cancer-related mortality over the world. This study aims to develop predictive models using different machine learning (ML) classifiers based on both demographic and clinical variables to predict metastasis status of patients with GC. The data applied in this study including 733 of GC patients, divided into a train and test groups at a ratio of 8:2, diagnosed at Taleghani tertiary hospital. In order to predict metastasis in GC, ML-based algorithms, including Naive Bayes (NB), Random Forest (RF), Support Vector Machine (SVM), Neural Network (NN), Decision Tree (RT) and Logistic Regression (LR), with 5-fold cross validation were performed. To assess the model performance, F1 score, precision, sensitivity, specificity, area under the curve (AUC) of receiver operating characteristic (ROC) curve and precision-recall AUC (PR-AUC) were obtained. 262 (36%) experienced metastasis among 733 patients with GC. Although all models have optimal performance, the indices of SVM model seems to be more appropiate (training set: AUC: 0.94, Sensitivity: 0.94; testing set: AUC: 0.85, Sensitivity: 0.92). Then, NN has the higher AUC among ML approaches (training set: AUC: 0.98; testing set: AUC: 0.86). The RF of ML-based models, which determine size of tumor and age as two essential variables, is considered as the third efficient model, because of higher specificity and AUC (84% and 87%). Based on the demographic and clinical characteristics, ML approaches can predict the metastasis status in GC patients. According to AUC, sensitivity and specificity in both SVM and NN can be regarded as better algorithms among 6 applied ML-based methods.