Estudiar y trabajar como factores de riesgo en estudiantes de enfermería, Universidad Nacional Formosa, 2022 / Study and work as risk factors in nursing students, National University of Formosa,2022

Objetivo: Correlacionar la variable principal sostén del hogar con las variables género, edad, horas de trabajo, horas de sueño y factores de riesgo cardiovascular (índice de masa corporal, hipertensión arterial, dislipemia y diabetes mellitus), en estudiantes de 3º, 4 y 5º año de la Licenciatura en Enfermería, Universidad Nacional de Formosa. Metodología: estudio descriptivo, correlacional, transversal realizado en 214 estudiantes, durante el año 2022, utilizándose un cuestionario on-line autoadministrado, estructurado y medición de peso y talla. Resultados: el 76% fueron mujeres; 64%, principal fueron principal sostén del hogar, 57% refirió dormir menos de 6 horas al día, 15 % trabaja más de 41 horas semanales; 67% tuvo respuestas no saludables a la variable estrés, para la variable actividad física este valor ascendió a 71% y el 53,8% presentó exceso de peso. Se encontró asociación significativa entre ser el principal sostén del hogar con exceso de peso, trabajar 41 horas o más semanalmente, dormir menos de 6 horas al día y con la presencia de 3 o más factores de riesgo cardiovascular. Conclusiones: Las condiciones de vida que afrontan los estudiantes que de manera simultánea estudian, trabajan y son principal sostén del hogar pueden generar estrés, el cual es un factor de riesgo para las enfermedades cardiovasculares[AU]

Objetive: to correlate the main variable of primary income earner or primary breadwinner with gender, age, working hours, sleep hours, and cardiovascular disease risk factors (body mass index, hypertension, dyslipidemia, and diabetes mellitus) in 3rd, 4th, and 5th-year nursing students at the Nursing Program at the National University of Formosa. Methodology: The study was a descriptive, correlational, cross-sectional, conducted with 214 students during 2022 using a self-administered structured online questionnaire and measurement of weight and height. Results: 76% were women, 64% were the main breadwinner, 57% reported sleeping less than 6 hours a day, 15% working more than 41 hours per week; 67% had unhealthy responses to the stress variable, this value rose to 71% for the physical activity variable, and 53.8% were overweight. A significant association was found between the main variable of primary breadwinner and being overweight, working 41 or more hours weekly, and the presence of 3 or more cardiovascular risk factors. Conclusions: The living conditions faced by students who simultaneously study and work, and being the main breadwinner in the household can generate stress, which is a risk factor for cardiovascular diseases[AU]

Objetivo:: correlacionar a variável principal de sustento econômico do lar com as variáveis gênero, idade, horas de trabalho, horas de sono e fatores de risco cardiovascular (índice de massa corporal,hipertensão arterial, dislipidemia e diabetes mellitus) em estudantes do 3º, 4º e 5º ano do curso de graduação em Enfermagem, Universidade Nacional de Formosa. Metodologia: O estudo foi descritivo, correlacional e transversal, realizado em 214 estudantes durante o ano de 2022. Foi utilizado um questionário online autoadministrado e estruturado, e a medição de peso e altura dos estudantes foi realizada. Resultados: 76% dos estudantes eram mulheres; 64% eram o principal sustento econômico do lar; 57% relataram dormir menos de 6 horas por dia, 15% responderam que trabalham mais de 41 horas por semana; em relação aos fatores de risco cardiovascular, 67% tiveram respostas não saudáveis para a variável estresse, para a variável atividade física esse valor aumentou para 71% e 53,8% apresentaram excesso de peso. Foi encontrada uma associação significativa entre a variável principal de sustento econômico do lar com as variáveis excesso de peso, trabalhar 41 horas ou mais por semana, dormir menos de 6 horas al día e a presença de 3 ou mais fatores de risco cardiovascular. Conclusões: As condições de vida enfrentadas pelos estudantes que simultaneamente estudam, trabalham e são o principal sustento do lar podem gerar estresse, que é um fator de risco para doenças cardiovasculares[AU]

A 2-year longitudinal study of the association between unhealthy lifestyle factors and the development of depressive symptoms in university students.

Aim: The aim of this study was to investigate the association between unhealthy lifestyle factors and the development of depressive symptoms with adjustment for sociodemographic characteristics in university students using health checkup data. Methods: Among information obtained from university student health checkups conducted in 2017 and 2019, we analyzed both the clinical data and responses to questionnaires. The subjects used for analysis were 3190 individuals (2382 men and 808 women, mean age 19.0 years) who had been free of depressive symptoms in the 2017 survey and were available for a 2-year follow-up. The Patient Health Questionnaire (PHQ-2) was used as a self-rating scale for depressive symptoms. Multivariable logistic regression analysis was conducted to investigate the association between lifestyle factors (such as body mass index, self-rated health, whether breakfast was taken, degree of exercise, satisfaction with sleep, smoking, and alcohol drinking) in the 2017 survey and any development of depressive symptoms revealed in the 2019 survey, adjusting for sociodemographic variables and other lifestyle factors. Results: Multivariable logistic analysis showed that poor satisfaction with sleep (odds ratio [OR), 4.09; 95% confidence interval [CI), 1.96-8.53; p < 0.01) and female gender (OR, 2.16; 95% CI, 1.01-4.60; p = 0.05) were significantly associated with the development of depressive symptoms 2 years later. Conclusion: This study has revealed an association between poor satisfaction with sleep and the development of depressive symptoms. We believe that these findings may be useful for the prevention and treatment of depressive symptoms in university students.

Prevalence of Lifestyle Factors Among Primary Care Physicians: A Cross-Sectional Study in Al-Ahsa, Saudi Arabia.

Introduction The importance of a healthy lifestyle has grown in significance on a global scale, as it offers a vital means of preventing and managing a range of related illnesses. Consequently, maintaining a healthy lifestyle is of paramount importance for the prevention and management of non-communicable diseases. The lifestyle behaviors of healthcare workers exert a significant influence on their attitudes and counseling methods, as they play a pivotal role in the promotion of health and the dissemination of lifestyle education to patients and the general population. Objective The objective of this study was to examine the prevalence of lifestyle factors among primary care physicians in Al-Ahsa Governorate, including smoking, body mass index, nutrition, physical activity, and caffeine consumption. Methods The study was conducted between December 2023 and February 2024. A total of 233 primary care physicians in Al-Ahsa were selected through a probability multistage clustering sampling method. Data were collected via the distribution of a self-administered questionnaire to the primary care physicians and were analyzed using the chi-square test. Results A greater proportion of primary care physicians exhibited multiple unhealthy lifestyle factors (166/233, 71.2%). The most prevalent lifestyle factor was low physical activity (169/233, 73%), followed by poor nutrition (121/233, 52%), obesity (120/233, 51.51%), smoking (37/233, 15.88%), and caffeine consumption (22/233, 9%). The majority of primary care physicians with optimal health status are employed in primary healthcare (PHC) facilities situated in the eastern region followed by the southern region in Al-Ahsa Governorate. Conclusion The study findings revealed a prevalence of unhealthy lifestyle factors among the majority of primary care physicians in the Al-Ahsa Governorate. The most prevalent unhealthy lifestyle factor among the participants was low physical activity.

The impact of MIND diet consumption and physical activity on cognitive functioning in healthy aging older adults.

Objective: Modifiable lifestyle factors evidence great promise in reducing cognitive decline in older adults. Greater consumption to the MIND diet (Morris et al.) and increased daily physical activity (Buchman et al.) are associated with higher cognitive functioning. The interactive effects of lifestyle factors on cognition in older adults has not been investigated extensively. The present study examined the interaction between MIND diet consumption and intensity of physical activity on cognition in community-dwelling older adults. Methods: The sample included 215 older adults (159 female, Mage=79.8; Medu=15.5) from the Memory and Aging Project (Bennet et al.). The measures included the food frequency questionnaire (FFQ, MIND diet consumption), a portable actigraph worn 24 h a day for ten days (activity intensity), and a neuropsychological battery (cognitive variables). Results: Controlling for age and education, multiple regression analyses revealed that MIND diet consumption significantly predicted global cognition (ps< .05). Physical activity significantly predicted global cognition (ps< .05), and processing speed (ps< .01). Interaction effects were significant in global cognition (ps< .05), and episodic memory (ps< .01) revealing a pattern that those with the lowest MIND diet consumption may experience greater cognitive benefits from physical activity in than those with higher diet consumption. Conclusions: Findings suggest that older adults who do not consume the MIND diet closely may experience greater benefit in cognitive functioning from exercise than individuals who more greatly consume the diet.

Sex disparity, prediagnosis lifestyle factors, and long-term survival of gastric cancer: a multi-center cohort study from China.

BACKGROUND: This multi-center cohort study aimed to investigate whether sex and prediagnosis lifestyle affect the prognosis of gastric cancer. METHODS: Patients with gastric cancer were from four gastric cancer cohorts of the National Cancer Center of China, The First Hospital of Lanzhou University, Lanzhou University Second Hospital, and Gansu Provincial Cancer Hospital. Prediagnosis lifestyle factors in our study included body mass index (BMI) at diagnosis, usual BMI, weight loss, the history of Helicobacter pylori (Hp) infection, and the status of smoking and drinking. RESULTS: Four gastric cancer cohorts with 29,779 gastric cancer patients were included. In total patients, female patients had a better prognosis than male patients (HR = 0.938, 95%CI: 0.881-0.999, P = 0.046). For prediagnosis lifestyle factors, BMI at diagnosis, usual BMI and the amount of smoking were statistically associated with the prognosis of gastric cancer patients. Female patients with smoking history had a poorer survival than non-smoking females (HR = 0.782, 95%CI: 0.616-0.993, P = 0.044). Tobacco consumption > 40 cigarettes per day (HR = 1.182, 95%CI: 1.035-1.350, P = 0.013) was independent adverse prognostic factors in male patients. Obesity paradox was observed only in male patients (BMI < 18.5, HR = 1.145, 95%CI: 1.019-1.286, P = 0.023; BMI: 23-27.4, HR = 0.875, 95%CI: 0.824-0.930, P < 0.001; BMI ≥ 27.5, HR = 0.807, 95%CI: 0.735-0.886, P < 0.001). CONCLUSIONS: Sex and some prediagnosis lifestyle factors, including BMI at diagnosis, usual BMI and the amount of smoking, were associated with the prognosis of gastric cancer.

Characterizing Gut Microbiota in Older Chinese Adults with Cognitive Impairment: A Cross-Sectional Study.

Background: Cognitive impairment is a clinical manifestation that occurs in the course of dementia like Alzheimer's disease. The association between cognitive impairment and gut microbiota is unclear. Objective: We aimed to identify gut microbiota characteristics and key gut microbiota biomarkers associated with cognitive impairment in a relatively large cohort of older adults in China. Methods: A total of 229 adults aged ≥60 years from Shenzhen, China were recruited into this cross-sectional study. Participants were divided into cognitive impairment (CI) and no cognitive impairment (NCI) groups according to the results of the Mini-Mental State Examination. Diversity analysis and network analysis were used to characterize the gut microbiota between the two groups. The linear discriminant analysis effect size method and machine learning approaches were sequentially performed to identify gut microbiota biomarkers. The relationship between biomarkers and lifestyle factors was explored using Transformation-based redundancy analysis (tb-RDA). Results: A total of 74 CI participants and 131 NCI participants were included in the analysis. The CI group demonstrated lower α-diversity compared to the NCI group (Shannon: 2.798 versus 3.152, p < 0.001). The density of the gut microbiota interaction network was lower in the CI group (0.074) compared to the NCI group (0.081). Megamonas, Blautia, Pseudomonas, Stenotrophomonas, and Veillonella were key biomarkers for CI. The tb-RDA revealed that increased fruit intake and exercise contribute to a higher abundance of Megamonas, Blautia, and Veillonella. Conclusions: We identified a significantly reduced abundance of certain beneficial gut microbiota in older Chinese adults with cognitive impairment.

Changes in modifiable risk factors in women at increased risk for breast and ovarian cancer during the COVID-19 pandemic.

Background: Modifiable lifestyle factors exert a substantial influence on the development of various diseases. The COVID-19 pandemic necessitated the implementation of containment measures to mitigate the viral spread, which affected the maintenance of healthy habits. Methods: Changes in lifestyle factors (e.g. physical activity, nutrition, smoking, drinking alcohol) within a cohort of German women at increased risk of breast cancer (BC) or ovarian cancer (OC) were evaluated through an anonymous web-based survey. The self-reported assessment of mental health was conducted using the PHQ-4 questionnaire. This tool combines two items from the Patient Health Questionnaire for Depression (PHQ-2) and two queries from the Generalized Anxiety Disorder Scale (GAD-2). Potential predictors of lifestyle changes were determined via multiple logistic regression analysis. A heuristic model was employed to project potential long-term consequences on BC incidence. Results: During the pandemic, 41.6 % of respondents reported reduced engagement in physical activity (PA), whereas 14.3 % reported increased engagement in PA. A score ≥5 on the PHQ-2 scale emerged as an independent risk factor for reduced PA (OR 12.719; 95 % CI 1.089-148.549; p = 0.043). By the heuristic approach, we projected an increase of BC by 3384 cases in Germany by 2030, which is attributable to the alterations in PA patterns during the pandemic. Discussion: Impaired mental health during the pandemic constituted a risk factor for unfavorable changes in PA. Consequently, a surge in BC may arise due to decreased engagement in PA. Healthcare professionals must remain aware of the potential risk factors that facilitate adverse alterations in modifiable risk factors caused by pandemic-related contingency measures or similar future events.

Unraveling the causality between gastroesophageal reflux disease and increased cancer risk: evidence from the UK Biobank and GWAS consortia.

BACKGROUND: Gastroesophageal reflux disease (GERD) is a common condition characterized by the reflux of stomach contents into the esophagus. Despite its widespread prevalence worldwide, the causal link between GERD and various cancer risks has not been fully established, and past medical research has often underestimated or overlooked this relationship. METHODS: This study performed Mendelian randomization (MR) to investigate the causal relationship between GERD and 19 different cancers. We leveraged data from 129,080 GERD patients and 473,524 controls, along with cancer-related data, obtained from the UK Biobank and various Genome-Wide Association Studies (GWAS) consortia. Single nucleotide polymorphisms (SNPs) associated with GERD were used as instrumental variables, utilizing methods such as inverse variance weighting, weighted median, and MR-Egger to address potential pleiotropy and confounding factors. RESULTS: GERD was significantly associated with higher risks of nine types of cancer. Even after adjusting for all known risk factors-including smoking, alcohol consumption, major depression, and body mass index (BMI)-these associations remained significant, with higher risks for most cancers. For example, the adjusted risk for overall lung cancer was (OR, 1.23; 95% CI: 1.14-1.33), for lung adenocarcinoma was (OR, 1.18; 95% CI: 1.03-1.36), for lung squamous cell carcinoma was (OR, 1.35; 95% CI: 1.19-1.53), and for oral cavity and pharyngeal cancer was (OR, 1.73; 95% CI: 1.22-2.44). Especially noteworthy, the risk for esophageal cancer increased to (OR, 2.57; 95% CI: 1.23-5.37). Mediation analyses further highlighted GERD as a significant mediator in the relationships between BMI, smoking, major depression, and cancer risks. CONCLUSIONS: This study identifies a significant causal relationship between GERD and increased cancer risk, highlighting its role in cancer development and underscoring the necessity of incorporating GERD management into cancer prevention strategies.

Exploring socioeconomic status, lifestyle factors, and cardiometabolic disease outcomes in the United States: insights from a population-based cross-sectional study.

BACKGROUND: Cardiometabolic diseases are a major global health concern. This study aims to identify areas for targeted interventions and investigate the impact of socioeconomic status and lifestyle as a potential mediator in the context of the US. METHODS: Our study analyzed data from the Health Information National Trends Survey 5, a nationwide survey by the National Cancer Institute. Using standardized scales and questions, we examined cardiometabolic disease outcomes, lifestyle factors, and socioeconomic status of non-institutionalized civilians aged 18 + in the US. We analyzed the data using structural equation modelling. RESULTS: Our findings show that socioeconomic status and lifestyle significantly predict cardiometabolic disease outcomes. However, our analysis did not support lifestyle as the primary mediating factor in the association between socioeconomic status and cardiometabolic diseases, suggesting that other factors may significantly influence this relationship. CONCLUSIONS: Cardiometabolic diseases require lifestyle and structural interventions addressing socioeconomic factors. Policymakers must consider multifaceted factors to prevent, detect, and manage these diseases effectively and equitably.

Associations of maternal lifestyle factors with inadequate pregnancy weight gain: findings from the baseline data of the LIMIT prospective cohort study.

BACKGROUND/OBJECTIVES: Gestational Weight Gain (GWG) impacts maternal and fetal health; deviations from optimal ranges pose health risks. Maternal lifestyle before and during pregnancy strongly influences GWG. This study explores factors linked to inadequate GWG, focusing on Mediterranean Diet (MD) adherence and specific food consumption. SUBJECTS/METHODS: 178 pregnant women were enrolled at Fondazione IRCCS Policlinico San Matteo (Pavia) during pre-hospital care before birth meeting inclusion/exclusion criteria. Sociodemographic data, pre-pregnancy BMI, GWG, MD adherence, physical activity (PA) levels, and smoking habits were retrospectively collected. Validated questionnaires adapted for the target group, assessed MD adherence and PA level. Participants were classified into adequate (AGWG) and inadequate GWG groups following IOM guidelines. RESULTS: Among 200 pregnant women (aged 30-36), 37.1% experienced low GWG and 24.1% excessive GWG. Our study revealed a significant association between inadequate GWG and educational level (P = 0.011); pre-pregnancy BMI (P = 0.005); MD adherence (P = 0.008), and daily average consumption of vegetables (P < 0.001). Our results also showed that a lower risk of EGWG vs. AGWG was associated with daily average consumption of vegetables (RRR = 0.279, P = 0.004), while a higher risk of EGWG vs. AGWG was associated with high daily meat product consumption (> 1.5 portions/day) (RRR = 7.83, P = 0.03). CONCLUSION: These findings emphasize the importance of promoting lifestyle changes before and during pregnancy to tackle the increasing incidence of inadequate GWG and improve the health outcomes of both mother and child.

Prevalence, demographic, socio-economic, and lifestyle factors associated with cigarette, e-cigarette, and dual use: evidence from the 2017-2021 Scottish Health Survey.

Understanding the correlation between demographic, socio-economic, and lifestyle factors with e-cigarette use, cigarette smoking, and dual use is essential for targeted public health interventions. This study examines the prevalence of these behaviors in Scotland and identifies the associated factors. We conducted a repeated cross-sectional analysis of the Scottish Health Survey data from 2017 to 2021, leveraging data from 12,644 participants aged 16 and older: 2271 cigarette smokers, 687 e-cigarette users, 428 dual users, and 9258 never users. Weighted prevalences were calculated by age group, sex, and survey year, followed by weighted multinomial logistic regression to explore associated factors. The overall prevalences were 72.0% (95% CI 70.9-73.1) for never users, 18.9% (95% CI 17.9-19.9) for cigarette smokers, 5.5% (95% CI 5.0-6.1) for e-cigarette users, and 3.6% (95% CI 3.2-4.0) for dual users. From 2017 to 2021, cigarette smoking declined from 21.7% (95% CI 19.6-23.9) to 13.1% (95% CI 11.5-15.0), e-cigarette use from 6.5% (95% CI 5.4-7.8) to 4.8% (95% CI 3.6-6.4), and dual use from 3.7% (95% CI 2.9-4.6) to 2.7% (95% CI 1.9-3.7). Age was a critical factor, with the 25-34 age group more likely to use e-cigarettes (p = 0.007) and the 35-44 age group more likely to engage in dual use (p = 0.006) compared to the 16-24 age group. Males had higher odds of e-cigarette use than females (p = 0.031). White individuals had higher odds of using e-cigarettes (p = 0.023) and being dual users (p = 0.017) compared to non-whites. Previously married individuals had higher odds of dual use than singles (p = 0.031). Larger household sizes were linked to reduced odds of all three behaviors (p = 0.001). Rural residents were less likely to use e-cigarettes compared to urban residents (p = 0.025). Higher education correlated with lower odds of all three behaviors (p = 0.001). Manual occupation increased the likelihood of dual use (p = 0.042). Lower income and higher deprivation significantly increased the odds of all three behaviors (p < 0.001). Excessive alcohol consumption was associated with increased odds of the three behaviors (p < 0.001). Poor sleep quality correlated with increased odds of dual use (p = 0.002) and cigarette smoking (p < 0.001). Adherence to physical activity guidelines was associated with reduced odds of all three behaviors (cigarette smoking p < 0.001, e-cigarette use p = 0.031, dual use p = 0.016). In conclusion, this study showed a decline in the prevalence of cigarette smoking, e-cigarette use, and dual usage from 2017 to 2021 in Scotland. Significant associations with demographic, socio-economic, and lifestyle factors highlight the need for targeted public health interventions.

Decomposing the association of psychosocial wellbeing with all-cause mortality: the mediating role of physical health and lifestyle factors.

PURPOSE: This study quantified the effect of 48 psychosocial constructs on all-cause mortality using data from 7,698 individuals in the U.S. Health and Retirement Study. METHODS: Latent class analysis was used to divide participants into mutually exclusive psychosocial wellbeing groups (good, average, or poor) which was subsequently considered as the exposure. Mediation analysis was then conducted to determine the direct effect of the psychosocial wellbeing groups and the indirect (mediating) effects of physical health (functional status and comorbid conditions) and lifestyle factors (physical activity, smoking, and alcohol consumption) on overall survival. We also created a composite health index measure representing the summative effect of the mediators. RESULTS: We observed a strong and statistically significant total effect (TE) between survival time and psychosocial wellbeing group (survival time ratio (SR) = 1.73, 95% confidence interval (CI):1.50,2.01 when comparing good to poor). Mediation analysis revealed that the direct effect via psychosocial wellbeing group accounted for more than half of the TE (SR = 1.46, 95% CI:1.27,1.67). The composite health index measure mediated 36.2% of the TE with the natural indirect effect SR of 1.18 (95% CI:1.13,1.22). CONCLUSION: Our findings demonstrate the interconnectedness between psychosocial wellbeing and physical health and lifestyle factors on survival.

Negative Lifestyle Factors Specific to Aging Persons Living with HIV and Multimorbidity.

The primary goal of medical care during the pre-antiretroviral therapy (ART) era was to keep persons living with human immunodeficiency virus (HIV) alive, whereas since the advent of ART, the treatment objective has shifted to decreasing viral loads and infectiousness while increasing CD4+ T-cell counts and longevity. The health crisis, however, is in preventing and managing multimorbidity (ie, type 2 diabetes), which develops at a more accelerated or accentuated pace among aging persons living with HIV. Relative to the general population and age-matched uninfected adults, it may be more difficult for aging HIV-positive persons who also suffer from multimorbidity to improve negative lifestyle factors to the extent that their behaviors could support the prevention and management of diseases. With recommendations and a viable solution, this article explores the impact of negative lifestyle factors (ie, poor mental health, suboptimal nutrition, physical inactivity, alcohol use) on the health of aging individuals living with HIV.

How Negative Lifestyle Factors Impact Aging Persons Living with HIVThis literature review highlights negative lifestyle factors experienced by aging persons living with HIV, including poor mental health (i.e., depression, cognitive decline), poor nutrition, physical inactivity, alcohol use, sexually transmitted infection, poor sleep quality, and treatment noncompliance as promoting diseases (e.g., type 2 diabetes, hypertension, obesity, cardiovascular disease) and early death. A possible solution to decreasing or eliminating negative lifestyle factors in the aging HIV-positive population is to develop disease prevention-focused teams in clinical and community settings. However, if team development is impractical, primary healthcare providers should routinely assess and monitor lifestyle factors (i.e., cognitive decline) and, if needed, provide appropriate referrals to licensed or certified specialists (e.g., psychologist, clinical dietitian, medical exercise specialist, or health coach).

The association between ultra-processed food consumption and health-related quality of life differs across lifestyle and socioeconomic strata.

BACKGROUND: In this prospective study, we aimed to examine the association between ultra-processed foods and health-related quality of life (HRQoL) and to evaluate the effect of lifestyle and socioeconomic factors on this association. METHODS: This study included 1766 adults (aged 18 to 78, 54.3% women), who took part in the Tehran Lipid and Glucose study. The Short-Form 12-Item Health Survey version 2 was used to determine HRQoL, which includes the physical component summary (PCS) and mental component summary (MCS) scores. Ultra-processed food consumption was assessed using a validated semi-quantitative food frequency questionnaire. Lifestyle (physical activity and smoking status) and socioeconomic factors (education level and employment status) were also determined. General linear models (GLM) were applied to estimate the mean (95% confidence interval) for MCS and PCS scores across the ultra-processed foods tertiles. Additionally, the effect of lifestyle and socioeconomic factors on the relationship between ultra-processed foods and HRQoL was examined using GLM. RESULTS: The median consumption of ultra-processed foods was 11.9% (IQR: 8.2 to 16.8) of total energy intake. There was a significant inverse association between ultra-processed foods consumption and PCS, but not MCS, after adjustment for confounding factors. Significant interactions were observed between ultra-processed food consumption, sex, and occupation on PCS score (all P values < 0.001). The interaction test tended to be significant for smoking status, education levels, and physical activity levels. As ultra-processed food consumption increased, the PCS score significantly decreased in women (P = 0.043), low physical active subjects (P = 0.014), smokers (P = 0.015), and lower-educated individuals (P = 0.022). Non-employed individuals with higher ultra-processed food intake showed a decline in their PCS and MCS scores. While there was no significant difference in MCS score among different strata of lifestyle and socioeconomic status across tertiles of ultra-processed foods. CONCLUSIONS: Higher intake of ultra-processed foods was associated with poorer physical health, particularly among women, those with unhealthy lifestyles, and low socioeconomic conditions.

On the use of the healthy lifestyle index to investigate specific disease outcomes.

The healthy lifestyle index (HLI), defined as the unweighted sum of individual lifestyle components, was used to investigate the combined role of lifestyle factors on health-related outcomes. We introduced weighted outcome-specific versions of the HLI, where individual lifestyle components were weighted according to their associations with disease outcomes. Within the European Prospective Investigation into Cancer and Nutrition (EPIC), we examined the association between the standard and the outcome-specific HLIs and the risk of T2D, CVD, cancer, and all-cause premature mortality. Estimates of the hazard ratios (HRs), the Harrell's C-index and the population attributable fractions (PAFs) were compared. For T2D, the HR for 1-SD increase of the standard and T2D-specific HLI were 0.66 (95% CI: 0.64, 0.67) and 0.43 (0.42, 0.44), respectively, and the C-index were 0.63 (0.62, 0.64) and 0.72 (0.72, 0.73). Similar, yet less pronounced differences in HR and C-index were observed for standard and outcome-specific estimates for cancer, CVD and all-cause mortality. PAF estimates for mortality before age 80 were 57% (55%, 58%) and 33% (32%, 34%) for standard and mortality-specific HLI, respectively. The use of outcome-specific HLI could improve the assessment of the role of lifestyle factors on disease outcomes, thus enhancing the definition of public health recommendations.

Impact of dietary, lifestyle and sociodemographic factors on calcitonin levels in a healthy population.

Calcitonin (CT), a hormone secreted by thyroid parafollicular C cells, plays a role in calcium homeostasis and bone health. Understanding the relationship between CT levels and dietary, sociodemographic, and lifestyle factors is essential for public health and hormonal balance studies. This study encompassed 3323 healthy participants from the Croatian biobank. We utilized principal component analysis (PCA) to reduce food items into dietary patterns. Regression analysis was used to investigate the relationship between CT levels and data collected through questionnaires, accounting for age and sex. CT levels exhibited sex-specific differences, with higher values observed in males. Positive associations were found between CT levels and age, body mass index (BMI), as well as weekly consumption of white and red wine mixed with water. While height and sternal notch-finger length initially correlated positively with CT levels, this relationship reversed upon adjusting for age and sex. Regarding sport activities, CT levels were significantly increased in non-participants compared to occasional sport participants (p = 0.043). Dietary factors yielded intriguing findings, with frequent consumption of butter, animal fat and veal associated with lower CT levels, while higher CT levels were associated with the frequent consumption of white fish, blue fish, pasta, and rice. However, no significant correlation was found between CT levels and bone mineral density (BMD), weight, or body surface area (BSA). This study highlights the complex interplay of dietary, lifestyle, and sociodemographic factors influencing CT levels. These findings suggest that a broad range of factors should be considered in hormonal balance studies, underlining their potential implications for public health.

Integrated Approaches in the Management of Gastrointestinal Disorders: A Biopsychosocial Perspective.

Gastrointestinal (GI) disorders, including gastroesophageal reflux disease (GERD), inflammatory bowel disease (IBD), gastritis/peptic ulcer disease (PUD), and celiac disease, significantly impact global health and economic stability. This review synthesizes current literature to elucidate the pathophysiology, clinical manifestations, diagnostic challenges, and management strategies of these prevalent conditions. Through a biopsychosocial lens, we examine the role of the gut microbiome in disease modulation and explore innovative therapeutic advancements, including microbiome-targeting interventions. The review highlights the necessity of a multidisciplinary approach to patient care, integrating medical treatment with dietary, psychological, and lifestyle modifications. By addressing these disorders holistically, the article aims to foster a deeper understanding of their biopsychosocial impacts and encourage more effective, patient-centered treatment paradigms. The findings underscore the imperative for continued research and interdisciplinary collaboration to enhance patient outcomes and reduce healthcare burdens associated with GI disorders.

Effect of Lead Exposure and Lifestyle Factors on Methylation Index Markers Among Pb-Exposed Workers.

S-Adenosylmethionine (SAM) and S-adenosylhomocysteine (SAH) and the ratio of SAM and SAH in Pb-exposed workers need to be assessed. In this study, we investigated the effects of Pb exposure on SAM, SAH, and methylation index (MI) in Pb-exposed workers with contemplation of lifestyle factors. Blood lead levels (BLLs), SAM, SAH, MI, and lifestyle factors were assessed in 338 male Pb-exposed workers. BLLs are estimated by ICP-OES method. SAM and SAH levels in serum were determined by ELISA method. The MI was calculated using SAM and SAH individual values. The lifestyle factors were collected using standard questionnaire. Levels of SAM and MI were significantly decreased with increased age, experience > 5 years, habits of tobacco chewing, smoking, alcohol consumption, and BLLs 10-30, 30-50, and > 50 µg/dL. Levels of SAH were significantly increased with increased age, habits of tobacco chewing and smoking, and BLLs 10-30, 30-50, and > 50 µg/dL. The association between BLLs and methylation index markers (SAM and MI) was reported as negative and significant. The association between BLLs and SAH was noted positive and significant. The influence of BLLs and lifestyle factors on SAM was noted at 12%, SAH at 35%, and MI at 27%, respectively. The highest percentage of influence was noted in SAH, followed by MI and SAM. In the workers exposed to Pb, lifestyle factors resulted in decreased SAM and MI and increased SAH levels. Adaptation of healthy lifestyle factors, personal hygiene practices, and use of PPE were suggested to minimize the reduction of methylation index markers.

Underlying Mechanisms of the Protective Effects of Lifestyle Factors On Age-Related Diseases.

The rise in life expectancy has significantly increased the occurrence of age-related chronic diseases, leading to escalating expenses for both society and individuals. Among the main factors influencing health and lifespan, lifestyle takes a forefront position. Specifically, nutrition, mental activity, and physical exercise influence the molecular and functional mechanisms that contribute to the prevention of major age-related diseases. Gaining deeper insights into the mechanisms that drive the positive effects of healthy lifestyles is valuable for creating interventions to prevent or postpone the development of chronic degenerative diseases. This review summarizes the main mechanisms that underlie the positive effect of lifestyle factors in counteracting the major age-related diseases involving brain health, musculoskeletal function, cancer, frailty, and cardiovascular diseases, among others. This knowledge will help to identify high-risk populations for targeted intervention trials and discover new biomarkers associated with healthy aging.

Developing an optimal stratification model for colorectal cancer screening and reducing racial disparities in multi-center population-based studies.

BACKGROUND: Early detection of colorectal neoplasms can reduce the colorectal cancer (CRC) burden by timely intervention for high-risk individuals. However, effective risk prediction models are lacking for personalized CRC early screening in East Asian (EAS) population. We aimed to develop, validate, and optimize a comprehensive risk prediction model across all stages of the dynamic adenoma-carcinoma sequence in EAS population. METHODS: To develop precision risk-stratification and intervention strategies, we developed three trans-ancestry PRSs targeting colorectal neoplasms: (1) using 148 previously identified CRC risk loci (PRS148); (2) SNPs selection from large-scale meta-analysis data by clumping and thresholding (PRS183); (3) PRS-CSx, a Bayesian approach for genome-wide risk prediction (PRSGenomewide). Then, the performance of each PRS was assessed and validated in two independent cross-sectional screening sets, including 4600 patients with advanced colorectal neoplasm, 4495 patients with non-advanced adenoma, and 21,199 normal individuals from the ZJCRC (Zhejiang colorectal cancer set; EAS) and PLCO (the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial; European, EUR) studies. The optimal PRS was further incorporated with lifestyle factors to stratify individual risk and ultimately tested in the PLCO and UK Biobank prospective cohorts, totaling 350,013 participants. RESULTS: Three trans-ancestry PRSs achieved moderately improved predictive performance in EAS compared to EUR populations. Remarkably, the PRSs effectively facilitated a thorough risk assessment across all stages of the dynamic adenoma-carcinoma sequence. Among these models, PRS183 demonstrated the optimal discriminatory ability in both EAS and EUR validation datasets, particularly for individuals at risk of colorectal neoplasms. Using two large-scale and independent prospective cohorts, we further confirmed a significant dose-response effect of PRS183 on incident colorectal neoplasms. Incorporating PRS183 with lifestyle factors into a comprehensive strategy improves risk stratification and discriminatory accuracy compared to using PRS or lifestyle factors separately. This comprehensive risk-stratified model shows potential in addressing missed diagnoses in screening tests (best NPV = 0.93), while moderately reducing unnecessary screening (best PPV = 0.32). CONCLUSIONS: Our comprehensive risk-stratified model in population-based CRC screening trials represents a promising advancement in personalized risk assessment, facilitating tailored CRC screening in the EAS population. This approach enhances the transferability of PRSs across ancestries and thereby helps address health disparity.