Sleep and physical activity measures are associated with resting-state network segregation in non-demented older adults.

Greater physical activity and better sleep are associated with reduced risk of cognitive decline and dementia among older adults, but little is known about their combined associations with measures of brain function and neuropathology. This study investigated potential independent and interactive cross-sectional relationships between actigraphy-estimated total volume of physical activity (TVPA) and sleep patterns [i.e., total sleep time (TST), sleep efficiency (SE)] with resting-state functional magnetic resonance imaging (rs-fMRI) measures of large scale network connectivity and positron emission tomography (PET) measures of amyloid-ß. Participants were 135 non-demented older adults from the BIOCARD study (116 cognitively normal and 19 with mild cognitive impairment; mean age = 70.0 years). Using multiple linear regression analyses, we assessed the association between TVPA, TST, and SE with connectivity within the default-mode, salience, and fronto-parietal control networks, and with network modularity, a measure of network segregation. Higher TVPA and SE were independently associated with greater network modularity, although the positive relationship of SE with modularity was only present in amyloid-negative individuals. Additionally, higher TVPA was associated with greater connectivity within the default-mode network, while greater SE was related to greater connectivity within the salience network. In contrast, longer TST was associated with lower network modularity, particularly among amyloid-positive individuals, suggesting a relationship between longer sleep duration and greater network disorganization. Physical activity and sleep measures were not associated with amyloid positivity. These data suggest that greater physical activity levels and more efficient sleep may promote more segregated and potentially resilient functional networks and increase functional connectivity within specific large-scale networks and that the relationship between sleep and functional networks connectivity may depend on amyloid status.

Impact of Lifestyle on Urinary Incontinence Severity among Women: A Cross-Sectional Study in East China.

INTRODUCTION AND HYPOTHESIS: Identifying the factors influencing the development of female urinary incontinence (UI) may facilitate early intervention, potentially delaying its progression. This study was aimed at investigating the impact of lifestyle habits on the severity of UI among women in East China. METHODS: This study included 414 women from six communities in East China who reported symptoms of UI and was conducted between September and December 2020. Data were collected using a general information questionnaire, the Toileting Behaviours: Women's Elimination Behaviours scale, and the International Consultation on Incontinence Questionnaire Urinary Incontinence Short Form Chinese Version. Participants were categorised into two groups: those with mild UI and those with moderate-to-severe UI. Propensity-score matching was performed to balance confounding factors, and logistic regression was used to explore the relationship between lifestyle behaviours and UI severity. RESULTS: A total of 117 pairs were successfully matched. Logistic regression analysis revealed that daily perineal cleaning significantly protected against moderate-to-severe UI (p < 0.05). Conversely, living alone, poor sleep quality and hovering over the toilet while voiding were identified as independent risk factors for moderate-to-severe UI (p < 0.05). CONCLUSION: Several lifestyle habits significantly impact the severity of UI among adult women. Screening for mild urinary leakage symptoms and implementing timely interventions are crucial for preventing the aggravation of UI and improving ability to work and quality of life.

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.

Immunogenetic and Environmental Factors in Age-Related Macular Disease.

Age-related macular degeneration (AMD) is a chronic disease, which often develops in older people, but this is not the rule. AMD pathogenesis changes include the anatomical and functional complex. As a result of damage, it occurs, in the retina and macula, among other areas. These changes may lead to partial or total loss of vision. This disease can occur in two clinical forms, i.e., dry (progression is slowly and gradually) and exudative (wet, progression is acute and severe), which usually started as dry form. A coexistence of both forms is possible. AMD etiology is not fully understood. Extensive genetic studies have shown that this disease is multifactorial and that genetic determinants, along with environmental and metabolic-functional factors, are important risk factors. This article reviews the impact of heavy metals, macro- and microelements, and genetic factors on the development of AMD. We present the current state of knowledge about the influence of environmental factors and genetic determinants on the progression of AMD in the confrontation with our own research conducted on the Polish population from Kuyavian-Pomeranian and Lubusz Regions. Our research is concentrated on showing how polluted environments of large agglomerations affects the development of AMD. In addition to confirming heavy metal accumulation, the growth of risk of acute phase factors and polymorphism in the genetic material in AMD development, it will also help in the detection of new markers of this disease. This will lead to a better understanding of the etiology of AMD and will help to establish prevention and early treatment.

Knowledge, attitude and practices around breast cancer and screening services among women of reproductive age in Turbo sub-county, Kenya.

Background: Only 12% of Kenyan women use breast cancer (BC)screening programs. Early identification is critical for reducing the condition's associated morbidity and mortality. Unfortunately, few studies have been conducted on the screening program's implementation and the causes for the low usage rates in Turbo Sub-County, Kenya. The purpose of this study was to learn about women of reproductive age's (WRA) practices, attitudes, and knowledge regarding BC screening programs, as well as to investigate the potential association between lifestyle factors and BC screening service utilization. Methods: Mixed-method approaches were used in an analytical cross-sectional study design. The study included 317 participants selected randomly. An interviewer-administered questionnaire was used to collect quantitative data while focus group discussion (FGD) and key informant interview (KII) guides were used for collecting qualitative data. The Statistical Package for Social Sciences (SPSS) version 26 was used to manage quantitative data, whereas NVivo version 12 was used to analyze qualitative data. Chi-square, Fisher's exact test, and multiple logistic regression were used to assess the degree of relationship between BC screening service uptake and independent variables. The qualitative data was transcribed verbatim, and the transcripts were automatically coded to generate themes. Results: The participants' mean age was 30.14 (9.64). Breast cancer screening services were used by 10.21% of the population. Women who were aware of the signs and symptoms of BC were 71.5 times more likely to undergo screening than their counterparts. Similarly, those with positive attitudes toward BC and screening programs were 84 times more likely to get screened than those with negative attitudes. Breastfeeding increased the likelihood of BC screening by OR = 37 (95% CI: 0.00-0.32), physical activity by OR = 37 (95% CI: 0.00-0.25), and chronic illnesses by OR = 37 (95% CI: 0.00-0.17). Conclusion: Knowledge of signs and symptoms of BC and a positive attitude towards perceived barriers enhanced the probabilities of BC screening. Being physically active, breastfeeding, and having a chronic disease all increased the odds of BC screening uptake. To improve screening rates, it is necessary to provide sufficient information to those who are least likely to be screened.

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.

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.

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.

Association between Sleep Duration, Social Jetlag, and the Metabolic Syndrome by Shift Works.

Lifestyle factors, including sleep characteristics, have been implicated in the development of metabolic syndrome, particularly among shift workers. This study aimed to explore the relationship between shift work, sleep duration, social jetlag, and the risk of metabolic syndrome among U.S. workers and the moderating effect of sleep duration and social jetlag on this relationship. Data from the National Health and Nutrition Examination Survey (NHANES) in 2017-2020 March were analyzed. Poisson regression models were employed to examine associations. Among 4136 U.S. workers, 53.3% had metabolic syndrome, with a higher proportion of shift workers (63.8% vs. 56.7%, p = 0.001) and those sleeping less than 6 h or more than 9 h per week (22.3% vs. 19.1%, p = 0.044) in the affected group. Shift workers were initially found to have an increased risk of metabolic syndrome (Coef. = 0.03, 95% CI: 0.02, 0.16); however, this association was mitigated when accounting for the interaction with social jetlag. Specifically, 1 to <2 h of social jetlag interacted significantly, increasing metabolic risk (Coef. = 0.15, 95% CI: 0.09, 0.22), whereas 1 to <2 h alone showed a protective effect (Coef. = -0.11, 95% CI: -0.17, -0.06). These findings suggest that optimizing sleep schedules and addressing social jetlag may be crucial in mitigating metabolic syndrome risks among shift workers.

Underlying Mechanisms of the Protective Effects of Lifestyle Factors in the Prevention of 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.

Association of healthy lifestyle factors with the risk of hypertension, dyslipidemia, and their comorbidity in Korea: results from the Korea National Health and Nutrition Examination Survey 2019-2021.

Objectives: We investigated the association of individual healthy lifestyle factors (HLFs) and their combined healthy lifestyle score (HLS) with hypertension and/or dyslipidemia. Methods: We analyzed data from 10,693 adults aged ≥19 from the 2019 to 2021 Korea National Health and Nutrition Examination Survey. HLS was evaluated based on smoking status, alcohol consumption, body mass index (BMI), diet, and physical activity. Using logistic regression models, we estimated odds ratios (ORs) with 95% confidence intervals (CIs) to evaluate the associations of HLFs and HLS with hypertension, dyslipidemia, and their comorbidity. Results: The prevalence of hypertension alone, dyslipidemia alone, and their comorbidity was 8.69%, 24.6%, and 15.0%, respectively. Multivariable models showed an inverse association of hypertension (OR, 0.37; 95% CI; 0.30-0.46) and dyslipidemia (OR, 0.36; 95% CI, 0.32-0.41) with healthy BMI. Hypertension was inversely associated with healthy alcohol consumption (OR, 0.46; 95% CI, 0.35-0.61) and diet (OR, 0.79; 95% CI, 0.63-0.99), whereas dyslipidemia was inversely associated with non-smoking (OR, 0.51; 95% CI, 0.43-0.60). Physical activity was inversely associated with their comorbidity (OR, 0.69; 95% CI, 0.56-0.85). Adherence to HLS was associated with significantly lower odds of hypertension (81%), dyslipidemia (66%), and their conditions (89%) (all ptrend<0.001). Stratified analyses consistently showed inverse associations between HLS and hypertension and/or dyslipidemia independently of demographic factors (pinteractions>0.05). Conclusion: HLFs were associated with lower risk for hypertension and/or dyslipidemia. Obesity may contribute significantly to the risk of these conditions, while relevant HLFs for individual chronic diseases may vary significantly.

Lifestyle factors associated with symptoms suggestive of restless legs syndrome in Korean adolescents.

OBJECTIVE: Restless legs syndrome (RLS) is a common sleep disorder among adolescents. This study aimed to investigate the lifestyle factors and sleep disturbances associated with the symptoms suggestive of RLS in Korean adolescents. METHODS: In this cross-sectional study, we investigated a total of 25,789 adolescents (mean age, 15.8 ± 1.7 years; male, 48.5 %). The presence of symptoms suggestive of RLS was assessed with a single question about RLS in the Global Sleep Assessment Questionnaire. We performed multiple logistic regression analysis to estimate the odds ratios (ORs) and 95 % confidence intervals (CIs) of lifestyle factors and sleep disturbances that were independently associated with adolescent RLS. RESULTS: The prevalence of RLS-suggestive symptoms was 5.1 % among adolescents. After adjustment, lifestyle factors associated with symptoms suggestive of RLS were occasional alcohol consumption (OR, 1.245; 95 % CI, 1.006-1.540) and proneness to Internet addiction (OR, 1.027; 95 % CI, 1.021-1.033). Bedtime behaviors associated with RLS-suggestive symptoms were sleeping with a doll or pet (OR, 1.194; 95 % CI, 1.032-1.381) and sleeping with a TV or radio on (OR, 1.366; 95 % CI, 1.156-1.614). Male sex, frequent snoring and witnessed apnea, perceived sleep insufficiency, excessive daytime sleepiness were also associated with RLS-suggestive symptoms in adolescents. CONCLUSIONS: Adolescents with symptoms suggestive of RLS were associated with different lifestyle factors compared to adults with RLS. Further research is needed to determine the clinical implications of lifestyle factors in adolescent RLS.

Poor healthy lifestyle and life's essential 8 are associated with higher risk of new-onset migraine: a prospective cohort study.

BACKGROUND: Lifestyle are closely related to migraine. However, there is a lack of studies investigating the association between Healthy lifestyle or Life's Essential 8 (LE8) and the risk of migraine. The objective of this research was to investigate the relationship between Healthy lifestyle scores and Life's essential 8 scores, and migraine. METHODS: 332,895 UK Biobank participants without migraine were included. Healthy lifestyle were assessed using seven lifestyle factors, and categorized as poor, intermediate, or ideal. LE8, based on the American Heart Association (AHA) Guidelines for Cardiovascular Health (CVH), consist of eight indicators classified as low, moderate, or high CVH. The Cox proportional hazard model was employed to examine the association between Healthy lifestyle scores, LE8 scores, and migraine, with calculations for population-attributable fraction (PAF) and cumulative incidence. RESULTS: During a median follow-up of 13.58 years, participants in intermediate (HR: 0.91; 95% CI: 0.85, 0.99) or ideal category of Healthy lifestyle (HR: 0.81; 95% CI: 0.73, 0.91) significantly reduced migraine risk compared to the poor category. Similarly, high CVH (HR: 0.73; 95% CI: 0.58, 0.92) also lowered migraine risk, while moderate CVH (HR: 0.93; 95% CI: 0.85, 1.02) did not show a difference compared to low CVH. If all individuals adhered to higher categories of Healthy lifestyle and LE8, approximately 11.38% and 22.05% of migraine cases could be prevented. Among individual lifestyle factors, maintaining an ideal body mass index (BMI), physical activity, sleep duration, sleep pattern, and sedentary time were associated with substantial reductions in migraine risk, by 5.65%, 0.81%, 10.16%, 16.39%, and 6.57%, respectively. CONCLUSION: Our study provides evidence that poor Healthy lifestyle and Life's Essential 8 are associated with higher risk of new-onset migraine.

The lifestyle for brain health index, the cluster of differentiation 33 (CD33) gene, and cognitive function among rural Chinese older adults: A population-based study.

BACKGROUND: We sought to examine the associations of the Lifestyle for Brain Health (LIBRA) index with cognitive function among rural Chinese older adults and to explore the potential role of cluster of differentiation 33 gene (CD33) in the associations. METHODS: This population-based cross-sectional study included 4914 dementia-free participants (age ≥60 years; 56.43 % women) in the 2018 baseline examination of MIND-China. The LIBRA index was generated from 11 factors. We used a neuropsychological test battery to assess episodic memory, verbal fluency, attention, executive function, and global cognition. The CD33(rs3865444) polymorphism was detected using multiple-polymerase chain reaction amplification. Data were analyzed using the general linear regression models. RESULTS: A higher LIBRA index was associated with multivariable-adjusted ß-coefficient (95 %CI) of -0.011(-0.020- -0.001) for global cognitive z-score, -0.020(-0.033- -0.006) for episodic memory, and -0.016(-0.029- -0.004) for verbal fluency. The CD33(rs3865444) was associated with a lower global cognitive z-score in the additive (CA vs. CC: ß-coefficient=0.042; 95 %CI=0.008-0.077), the dominant (CA+AA vs. CC: 0.040; 0.007-0.073), and the over-dominant (CA vs. CC+AA: 0.043; 0.009-0.077) models. Similar results were obtained for verbal fluency and attention. The CD33 gene showed statistical interactions with LIBRA index on cognitive function (Pinteraction<0.05) such that a higher LIBRA index was significantly associated with lower z-scores of global cognition and attention only among CD33 CC carriers (P < 0.05). CONCLUSIONS: This population-based study reveals for the first time that a higher LIBRA index is associated with worse cognitive performance in rural Chinese older adults and that CD33 gene could modify the association.

Lifestyle and genetic predisposition are associated with incident irritable bowel syndrome: A population-based prospective cohort study.

Few prospective studies have investigated the joint effect of lifestyle factors and genetic susceptibility on the risk of irritable bowel syndrome (IBS). This study aims to evaluate the associations of lifestyle and genetic factors with incident IBS in the UK Biobank. We analyzed data from 481,057 participants (54% female) without prevalent IBS at enrollment in the UK Biobank. An overall healthy lifestyle was defined using six modifiable lifestyle factors, including smoking, body mass index (BMI), sleep duration, diet, physical activity, and alcohol consumption, and hence categorized into 'favorable', 'intermediate', and 'unfavorable' lifestyles. A Cox proportional hazard model was used to investigate the association between a healthy lifestyle and incident IBS. Furthermore, we constructed a polygenic risk score (PRS) for IBS and assessed whether lifestyle modified the effect of genetics on the development of IBS. During a median follow-up of 12.1 years, 8645 incident IBS were ascertained. Specifically, among the six modifiable lifestyle factors, adequate sleep demonstrates the greatest protective effect (hazard ratio [HR]: 0.72, 95% CI: 0.69,0.75) against IBS. Compared with a favorable lifestyle, an unfavorable lifestyle was associated with a 56% (95% CI: 46%-67%) increased risk of IBS (P = 8.99 × 10-40). The risk of incident IBS was 12% (95% CI: 4%-21%) higher among those at high genetic risk compared with those at low genetic risk (P = 0.005). When considering the joint effect of lifestyle and genetic susceptibility, the HR nearly doubled among individuals with high genetic risk and unfavorable lifestyle (HR: 1.80; 95% CI:1.51-2.15; P = 3.50 × 10-11) compared to those with low genetic risk and favorable lifestyle. No multiplicative or addictive interaction was observed between lifestyle and genetics. The findings from this study indicated that lifestyle and genetic factors were independently associated with the risk of incident IBS. All these results implicated a possible clinical strategy of lowering the incidence of IBS by advocating a healthy lifestyle.

Lifestyle factors and subjective well­being among older adults in China: A national community-based cohort study.

There has been limited research on the relationship between health habits and subjective well-being (SWB) among Chinese oldest older adults. This study aims to explore lifestyle factors associated with SWB in this population. We analyzed data from three waves (2008-2014) of the CLHLS, including 28,683 older adults. Lifestyle factors analyzed included fruit and vegetable intake, smoking, alcohol consumption, physical exercise, and social participation. Results suggested that high frequency of fruit and vegetable intake, current and past physical exercise, and high levels of social participation were associated with increased SWB. SWB was lower in older adults who never smoked compared to persistent smokers and in those who never drank alcohol or ceased drinking compared to persistent drinkers. We encourage older adults to enhance SWB through increased fruit and vegetable intake, physical exercise, and social participation. However, quitting smoking and drinking may not necessarily improve SWB, particularly in the context of China.

Asthma Is Associated With Increased Sickness Absence Among Young Adults.

BACKGROUND: There is limited knowledge about how asthma affects sickness absence in young adulthood. OBJECTIVE: To examine how asthma and different asthma phenotypes affect sickness absence among young adults and potential modifying factors. A secondary aim was to estimate productivity losses related to sickness absence for asthma. METHODS: The study included 2391 participants from the Swedish population-based cohort BAMSE (Barn/Child, Allergy, Milieu, Stockholm, Epidemiology). Information on asthma, asthma phenotypes, and lifestyle factors was collected from questionnaires and clinical examinations at age approximately 24 years (2016-2019). Information on sickness absence for longer than 14 days was obtained from a national register for the years 2020 and 2021. Associations between asthma, asthma phenotypes, and sickness absence were analyzed with logistic regression models adjusted for sex, birth year, education, and overweight status. RESULTS: At age 24 years, 272 (11.4%) fulfilled the definition of asthma. Sickness absence was more common among those with asthma than among those without (15.1% vs 8.7%; P = .001; adjusted odds ratio 1.73; 95% CI, 1.19-2.51). Analyses of asthma phenotypes showed that the association tended to be stronger for persistent asthma, uncontrolled asthma, and asthma in combination with rhinitis; no consistent differences were observed across phenotypes related to allergic sensitization or inflammation. The association tended to be stronger among those with overweight than among those with normal weight. Asthma, especially uncontrolled asthma, was associated with higher productivity losses from sickness absence. CONCLUSIONS: Asthma may be associated with higher sickness absence and productivity losses. Achieving better asthma control and reducing allergic symptoms may reduce sickness absence among individuals with asthma.

Lifestyle-based subtypes of childhood obesity and their association with cardiometabolic factors: A cluster analysis.

BACKGROUND: Lifestyle factors play an important role in the development and management of childhood obesity and its related cardiometabolic complications. OBJECTIVE/METHODS: We aimed to explore childhood obesity subtypes based on lifestyle factors and examine their association with cardiometabolic health. We included 1550 children with obesity from the National Health and Nutrition Examination Survey. Cluster analysis identified obesity subtypes based on four lifestyle factors (physical activity, diet quality, sedentary time and smoking). Multiple linear regression assessed their association with cardiometabolic factors. RESULTS: Five subtypes of childhood obesity were identified: unhealthy subtype (n = 571; 36.8%), physically active subtype (n = 185; 21.1%), healthy diet subtype (n = 404; 26.1%), smoking subtype (n = 125; 8.1%) and non-sedentary subtype (n = 265; 17.1%). Compared with the unhealthy subtype, the physically active subtype had lower insulin and HOMA-IR levels, and smoking subtype was associated with lower HDL levels. When compared with children with normal weight, all obesity subtypes had worse cardiometabolic profile, except the physically active subtype who had similar DBP, HbA1c and TC levels; smoking subtype who had similar TC levels; and healthy diet and non-sedentary subtypes who had similar DBP levels. CONCLUSION: Children of different lifestyle-based obesity subtypes might have different cardiometabolic risks. Our new classification system might help personalize assessment of childhood obesity.

A contemporary review of breast cancer risk factors and the role of artificial intelligence.

Background: Breast cancer continues to be a significant global health issue, necessitating advancements in prevention and early detection strategies. This review aims to assess and synthesize research conducted from 2020 to the present, focusing on breast cancer risk factors, including genetic, lifestyle, and environmental aspects, as well as the innovative role of artificial intelligence (AI) in prediction and diagnostics. Methods: A comprehensive literature search, covering studies from 2020 to the present, was conducted to evaluate the diversity of breast cancer risk factors and the latest advances in Artificial Intelligence (AI) in this field. The review prioritized high-quality peer-reviewed research articles and meta-analyses. Results: Our analysis reveals a complex interplay of genetic, lifestyle, and environmental risk factors for breast cancer, with significant variability across different populations. Furthermore, AI has emerged as a promising tool in enhancing the accuracy of breast cancer risk prediction and the personalization of prevention strategies. Conclusion: The review highlights the necessity for personalized breast cancer prevention and detection approaches that account for individual risk factor profiles. It underscores the potential of AI to revolutionize these strategies, offering clear recommendations for future research directions and clinical practice improvements.