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]

The effect of lifestyle factors on chronic complications of diabetes at public health hospitals in Southwest Ethiopia.

Ethiopia faces a significant challenge with increasing non-communicable diseases like diabetes, ranking among the top four in sub-Saharan Africa. However, there is a lack of research on how lifestyle affects chronic complications of diabetes in Ethiopia, highlighting the need for urgent exploration to develop better intervention strategies. This study aimed to evaluate the link between lifestyle factors and chronic complications of diabetes in public health hospitals in Southwest Ethiopia. A cross-sectional study involving 389 diabetes patients from Mizan-Tepi University Teaching Hospital (MTUTH) and Gebretsadik Shawo General Hospital (GSGH) in Southwest Ethiopia was conducted. Data collection methods included interviewer-administered questionnaires, patient medical record reviews, physical examination, and serum analysis. SPSS version 25 was used for data analysis, including descriptive statistics and bivariate and multivariate logistic regression analyses. Statistical significance was determined at a p-value < 0.05. The study revealed a 32.1% prevalence of chronic complications of diabetes, with 13.4% having chronic kidney disease, 8.0% experiencing visual disturbances, and 16.7% suffering from peripheral sensory pain. After adjusting for confounding variables, age (41-60 years [AOR = 1.77; 95% CI 1.01, 3.15] and > 60 years [AOR = 2.18; 95% CI 1.20, 4.33]), duration of diabetes mellitus (> 6 years [AOR = 2.90; 95% CI 1.74, 4.85]), alcohol consumption [AOR = 2.30; 95% CI 1.33, 3.98], physical inactivity [AOR = 2.43; 95% CI 1.38, 4.27], and body mass index (underweight [AOR = 7.66; 95% CI 1.68, 34.8] and obese [AOR = 3.53; 95% CI 1.84, 10.5]) were significantly associated with chronic complications of diabetes. Chronic complications of diabetes are a major problem in the study area. Lifestyle factors strongly influence chronic diabetes complications, highlighting the importance of preventive measures. Implementing health education and prevention programs focusing on modifiable lifestyle factors is crucial.

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.

Potential for reducing dementia risk: association of the CAIDE score with additional lifestyle components from the LIBRA score in a population at high risk of dementia.

OBJECTIVES: Various dementia risk scores exist that assess different factors. We investigated the association between the Cardiovascular Risk Factors, Aging, and Incidence of Dementia (CAIDE) score and modifiable risk factors in the Lifestyle for Brain Health (LIBRA) score in a German population at high risk of Alzheimer's disease. METHOD: Baseline data of 807 participants of AgeWell.de (mean age: 68.8 years (SD = 4.9)) were analysed. Stepwise multivariable regression was used to examine the association between the CAIDE score and additional risk factors of the LIBRA score. Additionally, we examined the association between dementia risk models and cognitive performance, as measured by the Montreal Cognitive Assessment. RESULTS: High cognitive activity (ß = -0.016, p < 0.001) and high fruit and vegetable intake (ß = -0.032, p < 0.001) correlated with lower CAIDE scores, while diabetes was associated with higher CAIDE scores (ß = 0.191; p = 0.032). Although all were classified as high risk on CAIDE, 31.5% scored ≤0 points on LIBRA, indicating a lower risk of dementia. Higher CAIDE and LIBRA scores were associated with lower cognitive performance. CONCLUSION: Regular cognitive activities and increased fruit and vegetable intake were associated with lower CAIDE scores. Different participants are classified as being at-risk based on the dementia risk score used.

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.

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.

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.

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.

Hypertension among persons with type 2 diabetes and its related demographic, socioeconomic and lifestyle factors in the Fasa cohort study.

Hypertension is a very common comorbidity in type 2 diabetes patients, which leads to important health and treatment challenges. The present study was conducted with the aim of determining the prevalence of hypertension and its risk factors in type 2 diabetes patients. This study was conducted using cross-sectional data from 1245 participants aged between 35 and 70 years and diagnosed with type 2 diabetes at baseline in the Fasa cohort study. The prevalence hypertension was determined and multivariate logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the association between various risk factors and hypertension prevalence. The average age of the participants was 53.5 ± 8.7 years and 71.7% (n = 893) were female and 28.3% (n = 352) were male. The prevalence of hypertension in people with type 2 diabetes was 45.5% (n = 566). Higher age (AOR, 95% CI: 8.1, 4.6-14.3), female gender (OR, 95% CI: 1.8, 1.2-2.5), Fars (AOR, 95% CI: 1.6, 1.1-2.4) and Turk (AOR, 95% CI: 1.6, 1.1-2.5) vs. other ethnicity, and overweight (AOR, 95% CI: 1.8, 1.38-2.38) and obesity (AOR, 95% CI: 2.7, 2.0-3.8) vs. BMI < 25 was associated with a higher prevalence of hypertension, while higher physical activity (AOR, 95% CI: 0.57, 0.42-0.78) was associated with lower prevalence of hypertension in the multivariable model. The prevalence of hypertension in persons with type 2 diabetes was high and increased with greater age, in some ethnic groups, and with higher BMI and low physical activity. Further prospective studies are needed to investigate these associations in this population.

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.

Prevalence and characteristics of osseous bridging between vertebral bodies in the cervical spine: A skeletal study.

Osseous bridging (OB) in three or more segments of motions (SOMs) of the mobile spine was initially defined as diffuse idiopathic skeletal hyperostosis (DISH), located particularly in the thoracic spine (T-spine). This pathological phenomenon is often characterized by calcification and ossification, which take place simultaneously or separately. The soft tissues, mainly ligaments and entheses, are calcified, with bone formation not originating from the anterior longitudinal ligament (ALL). DISH formation can involve osteophytes, which are created by the ossification process and can involve soft tissue such as the ALL. The ALL can also be calcified. Until recently, the prevalence of DISH in the general population was considered low (0%-5%) and rare in the cervical spine (C-spine). In a cross-sectional observational skeletal study, we investigated the prevalence and location of C-spine OB between vertebral bodies with fewer than three SOMs. We tested a large sample (n = 2779) of C-spines housed in the Cleveland Museum of Natural History (Ohio, USA). The human sources of the samples had died between the years 1912 and 1938 and represented both sexes and two different ethnic groups: Black Americans and White Americans. The process development can be seen on the ALLs as calcification, osteophytosis, and candle-shaped. Among all of the specimens, 139 (5%) were affected by OB, mostly in one SOM. Prevalence tended to be higher in women, White Americans, and the older age group. The levels most affected were C3-C4, followed by C2-C3 and subsequently, C5-C6. OB involving two consecutive SOMs was found only at C5-C7. We believe it is important to respond to the presence of a single SOM with a presumptive diagnosis of OB and to follow up, identify whether the diagnosis is correct, and take preventive action if possible. There is a need for updated diagnostic criteria and research approaches that reflect contemporary lifestyle factors and their impact on spine health.

Understanding the determinants of self-reported asthma in Turkey: insights from national data on individual, lifestyle, socioeconomic, and healthcare access factors.

Asthma, influenced by genetic, environmental, and social factors is leading to poor outcomes and preventable mortality due to inadequate care and limited access to effective treatments. This study aimed to analyze self-reported asthma prevalence in Turkey, focusing on its determinants, such as individual factors, lifestyle, socioeconomic status, and healthcare access.This study conducts a secondary analysis of the 2019 Turkiye Health Survey (THS), employing a nationally representative cross-sectional design by the Turkish Statistical Institute. The sampling utilized a stratified, two-stage cluster sampling method, with data from 16,976 adults (aged 15 years and older) analyzed for asthma determinants. The independent variables are categorized into four domains: individual factors, lifestyle assessment, socioeconomic factors, and access to the healthcare services.The prevalence of asthma is 9.8%, varying significantly across demographics. Higher asthma rates are observed among older, divorced/widowed individuals, those with communication difficulties, and obese individuals. Cost-related unmet healthcare needs and appointment scheduling delays increase asthma risk. Logistic regression models identified age, marital status, obesity, education level, and healthcare access as significant predictors of asthma.This study underscores the multifaceted determinants of asthma in Turkey, highlighting the necessity for targeted interventions addressing individual, lifestyle, socioeconomic, and healthcare access factors.

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.

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 Healthy Lifestyle Factors on Life Expectancy and Lifetime Health Care Expenditure: Nationwide Cohort Study.

BACKGROUND: The association between lifestyle risk factors and the risk of mortality and chronic diseases has been established, while limited research has explored the impact of healthy lifestyle factors on lifetime health care expenditure using longitudinal individual data. OBJECTIVE: We aimed to determine the individual and combined effects of 5 healthy lifestyle factors on life expectancy and lifetime health care expenditure in Taiwan. METHODS: Using data from the National Health Interview Survey cohort, 5 healthy lifestyle behaviors were defined and analyzed: nonsmoking, avoiding excessive alcohol consumption, engaging in sufficient physical activity, ensuring sufficient fruit and vegetable intake, and maintaining a normal weight. We used a rolling extrapolation algorithm that incorporated inverse probability of treatment weighting to estimate the life expectancy and lifetime health care expenditure of the study populations with and without healthy lifestyle factors. RESULTS: A total of 19,893 participants aged ≥30 (mean age 48.8, SD 13.4) years were included, with 3815 deaths recorded during a median follow-up period of 15.6 years. The life expectancy and per capita estimated lifetime health care expenditures for the overall study population were 35.32 years and US $58,560, respectively. Multivariable-adjusted hazard ratios for all-cause mortality in participants adhering to all 5 healthy lifestyle factors, compared with those adhering to none, were 0.37 (95% CI 0.27-0.49). We found significant increases in life expectancy for nonsmokers (2.31 years; 95% CI 0.04-5.13; P=.03), those with sufficient physical activity (1.85 years; 95% CI 0.25-4.34; P=.02), and those with adequate fruit and vegetable intake (3.25 years; 95% CI 1.29-6.81; P=.01). In addition, nonsmokers experienced a significant reduction in annual health care expenditure (-9.78%; 95% CI -46.53% to -1.45%; P=.03), as did individuals maintaining optimal body weight (-18.36%; 95% CI -29.66% to -8.57%; P=.01). Overall, participants adhering to all 5 healthy lifestyle behaviors exhibited a life gain of 7.13 years (95% CI 1.33-11.11; P=.02) compared with those adhering to one or none, with a life expectancy of 29.19 years (95% CI 25.45-33.62). Furthermore, individuals adopting all 5 healthy lifestyle factors experienced an average annual health care expenditure reduction of 28.12% (95% CI 4.43%-57.61%; P=.02) compared with those adopting one or none. CONCLUSIONS: Adopting a healthy lifestyle is associated with a longer life expectancy and a reduction of health care expenditure in Taiwanese adults. This contributes to a more comprehensive understanding of the impact of healthy lifestyle factors on the overall health and economic burden.

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).

Association between Depressive Symptoms, Physical Activity, and Health Factors in Hispanic Emerging Adults.

Physical activity is a modifiable lifestyle behavior known for reducing symptoms of and being a risk factor for depression and mental health disorders. However, emerging adults (ages 18-25) struggle to meet recommended amounts. In this study, we explore the association between physical activity, depressive symptoms, and health factors in 137 Hispanic emerging adults. Using a cross-sectional survey design, sociodemographic information, depressive symptoms (CES-D score), physical activity (IPAQ score), body composition, and blood pressure measures were obtained. Statistical analyses included correlation and regression analyses. More than half of the participants demonstrated depressive symptomology (59.1%) and body fat percentage greater than 25% (64.2%). Body fat percentage, lean body mass, stress, and heart rate demonstrated notable associations with depressive symptoms and physical activity. When measured continuously and categorically, IPAQ was not a significant predictor of depressive symptoms. When used as a binary variable with a cutoff of 600 MET min/week, IPAQ score revealed a negative relationship with CES-D score (ß = -0.169, SE = 2.748, p = 0.034). Our results indicate that a threshold of physical activity, 600 MET min/week, may confer protective effects against depressive symptoms. Future research should investigate the context and quality of physical activity to address mental health disparities in this underrepresented population.

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.

A Prospective Study on Lifestyle Factors, Body Mass Index Changes, and Lipitension Risk in Japanese Young and Middle-Aged Women.

Background: This study investigates how lifestyle factors and westernization contribute to obesity and examines the influence of body mass index (BMI) changes and lifestyle factors on "lipitension," a significant risk factor for heart disease and metabolic syndrome. Methods: This prospective study focused on women aged 20-64 without pre-existing hypertension and dyslipidemia who underwent regular medical checkups between April 2016 and March 2022. Anthropometric measurements and blood pressure, along with low-density lipoprotein, high-density lipoprotein, and triglycerides levels, were assessed. Results: Over an average 46.5-month follow-up, 11.5% of initially healthy young and middle-aged women developed lipitension. Categorizing participants based on BMI changes revealed stable (63.8%), decreased (12.5%), and increased (23.8%) groups within this 11.5%. Increased BMI is linked with a heightened hazard risk for lipitension. Women with increased BMI who refrained from snacking (aHR [95% confidence interval (CI)] = 2.750 [1.433-5.279]), avoided late-night eating (aHR [95% CI] = 1.346 [1.032-1.754]), and engaged in alcohol consumption (aHR [95% CI] = 2.037 [1.138-3.646]) showed an elevated risk. Conversely, within the decreased BMI group, behaviors like skipping breakfast (aHR [95% CI] = 0.190 [0.047-0.764]), eating quickly (aHR [95% CI] = 0.457 [0.215-0.972]), and not eating late (aHR [95% CI] = 0.665 [0.467-0.948]) were associated to a reduced lipitension. Subgroup analysis for women with BMI <23 revealed specific behaviors influencing lipitension risk in both BMI-increased and BMI-stable groups. Conclusion: Customized interventions, including for women with BMI <23, enhance heart health, mitigating global lifestyle diseases and obesity.