Healthy Pattern Research Articles

Longitudinal associations between dietary diversity and serum lipid markers in Japanese workers.

The aim of this study was to determine the longitudinal associations between dietary diversity score and serum lipid markers in a five-year follow-up period in Japanese workers. This study included 745 participants aged 20-60 years in 2012-2013 without dyslipidemia at baseline who participated at least once from 2013 to 2017. Dietary intake was assessed using a food frequency questionnaire, and dietary diversity score was determined using the Quantitative Index for Dietary Diversity. Principal component analysis was used to determine three dietary patterns: healthy, western, and sweetener. Lipid markers including total cholesterol, triglycerides, LDL-cholesterol, HDL-cholesterol, and non-HDL-cholesterol were measured. Generalized estimating equations were used for calculating the cumulative mean of lipid profiles in the follow-up period according to the dietary diversity score at baseline with control of confounding factors. Higher dietary diversity score was inversely associated with serum concentrations of LDL cholesterol (p for trend = 0.028), triglycerides (p for trend = 0.029), and non-HDL cholesterol (p for trend = 0.026) in women. The associations except for the association with serum triglycerides were robust after additional adjustment for three dietary patterns (healthy, western, and sweetener). The association with serum triglycerides disappeared after additional adjustment for a healthy pattern. There was no significant association between dietary diversity and dyslipidemia in men in the follow-up period. This study suggests that dietary diversity is beneficial for lipid profiles in Japanese female workers.

Relationship between sleep abnormalities and hypothyroidism: results from the National Health and Nutrition Examination Survey 2007-2012.

Studies have emphasised the adverse effects of poor sleep on human health, however, the correlation between sleep abnormalities and hypothyroidism remains unclear. This study evaluated whether sleep abnormalities may be related to increased prevalence of hypothyroidism in general US adults. In total, 9016 adults who participated in the National Health and Nutrition Examination Survey from 2007 to 2012 were analysed. A standardised questionnaire was used to collect data regarding sleep duration, self-reported trouble sleeping and sleep disorders. Values were assigned to the three aforementioned sleep factors, resulting in an overall sleep score of 0-3. The sleep patterns were divided into healthy sleep pattern (overall sleep score = 3), intermediate sleep pattern (overall sleep score = 2) and poor sleep pattern (overall sleep score = 0 or 1) according to a former study. Hypothyroidism was defined as thyroid-stimulating hormone (TSH) levels > 5.6 mIU/mL or the need to take thyroid hormones. Multivariable logistic regression analysis was performed to assess the relationship between sleep abnormalities and hypothyroidism. The overall prevalence of hypothyroidism was 8.0% among the 9016 participants. Self-reported trouble sleeping (odds ratio [OR] = 1.38, 95% CI: 1.14-1.68, p = 0.001) and sleep disorders (OR = 1.40, 95% CI: 1.06-1.86, p = 0.0196) were associated with increased prevalence of hypothyroidism. Neither short sleep duration (OR = 0.99, 95% CI: 0.82-1.19) nor long sleep duration (OR = 0.98, 95% CI: 0.61-1.58) was significantly associated with hypothyroidism. Moreover, poor sleep pattern was significantly associated with increased prevalence of hypothyroidism (OR = 1.30, 95% CI: 1.03-1.66, p = 0.0301). Both trouble sleeping and sleep disorders were associated with increased prevalence of hypothyroidism.

Combined lifestyle factors and metabolic syndrome risk: a systematic review and meta-analysis.

The metabolic syndrome is a complex condition influenced by many factors including lifestyle. Recently, more and more studies explored the relationships between combined lifestyle factors (often measured as lifestyle scores/indices) and metabolic syndrome due to the co-occurrence of these factors. These scores/indices considered potential interactions among lifestyle factors, offering a more comprehensive understanding of their relationship with metabolic syndrome. However, no review/meta-analysis has been conducted to summarize existing evidence. Thus, this study aimed to synthesize the associations between lifestyle scores/indices and metabolic syndrome in cross-sectional and cohort studies. A literature search was performed in Embase and Medline. Multivariable-adjusted estimates were synthesized using random-effects models. In research where higher scores indicated better health, we used original estimates directly. In studies where higher scores denoted poorer health, we first calculated the coefficients and standard errors based on original estimates. Afterward, we reversed coefficients' directions and recalculated new estimates. Thus, the pooled estimates compared the healthiest with the least-healthy lifestyles (the highest vs. lowest scores/indices). Subgroup analyses were conducted based on study design, region, baseline time, baseline age, sex, health status, metabolic syndrome diagnosis, and lifestyles' number. Sensitivity analyses were performed by including only high-quality studies and employing leave-one-out analyses. Nineteen studies from 16 publications were included. Physical activity, diet, and smoking were the top three included lifestyle factors. Compared to participants with the least-healthy lifestyles, those with the healthiest lifestyles had a 43% lower metabolic syndrome risk (95% confidence interval = 0.41-0.73). In subgroup analyses, healthy lifestyle scores/indices were inversely associated with both metabolic syndrome prevalence in cross-sectional studies (Odds ratio = 0.62; 95% confidence interval = 0.51-0.73) and metabolic syndrome incidence in cohort studies (Odds ratio = 0.40; 95% confidence interval = 0.11-0.68). The inverse association was consistent in other subgroup and sensitivity analyses. Adherence to a healthy lifestyle pattern was beneficial to metabolic syndrome prevention.

Patterns of protein intake and mortality in patients with type 2 diabetes: results from NHANES

We aimed to look at the potential relationship between patterns of protein intake and risk of death in adults with type 2 diabetes. We included 4646 adults with type 2 diabetes participating in NHANES (1999–2018). We estimated intake of proteins from 11 animal- and plant-based food groups and then, used principal component analysis to explore data-driven patterns of protein intake. All-cause mortality was ascertained through linkage to National Death Index until December 31, 2019 (n = 969 deaths). Cox proportional hazard regression models were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs). Four dietary protein patterns were identified: “healthy” (high in proteins from legumes, fruits, nuts, seeds, and fish and low in red meat protein), “red meat and egg” (high in red meat and egg proteins and low in fish and poultry proteins), “vegetables/fish” and “dairy/nuts” patterns. The HRs of all-cause mortality for the highest compared to the lowest quartile of “healthy” and “red meat and egg” protein patterns were, respectively, 0.77 (95%CI: 0.62, 0.97; Ptrend = 0.014) and 1.28 (95%CI: 1.06, 1.54; Ptrend = 0.033). Greater adherence to a healthy protein pattern may be associated with a reduced risk of death in patients with type 2 diabetes, while greater adherence to a dietary pattern rich in red meat and egg proteins and low in fish and poultry proteins may be associated with a higher risk.

Association between sleep timing and meal and snack patterns in schoolchildren in southern Brazil.

This study aimed to identify meal and snack patterns and assess their association with sleep timing in schoolchildren. This is a cross-sectional study carried out in 2018/2019 with 1333 schoolchildren aged 7-14 years from public and private schools in Florianópolis, Brazil. Previous-day dietary intake data for breakfast, mid-morning snack, lunch, mid-afternoon snack, dinner, and evening snack were collected using a validated online questionnaire. Sleep timing was measured by the midpoint of sleep and classified as quartiles (very early, early, late and very late). Latent Class Analysis was performed to identify meal and snack patterns, and multinomial logistic regression was used to assess associations. Students with very late sleep timing were less likely to consume the "Coffee with milk, bread and cheese" breakfast pattern compared with very early group (35.4%, 95%CI 27.2-43.6 vs. 56.0%, 95%CI 48.5-63.4). Also, the former were more likely to consume the "Mixed" breakfast pattern (healthy and unhealthy foods) compared with very early students (40.0%, 95%CI 32.4- 46.7 vs. 28.0%, 95%CI 23.8- 32.0). The latter were more likely to eat the "Brazilian traditional, processed meat, egg and fish" lunch pattern to the late students (35.4%, 95%CI 30.3- 40.5 vs. 21.5%, 95%CI 15.2- 27.8) and less likely to consume the "Pasta and cheese" lunch pattern compared to the students with later sleep timing (10.1%, 95%CI 8.4- 11.9 vs. 17.1%, 95%CI 13.0- 21.1). Students with later sleep timing were more likely to eat ultra-processed food at mid-afternoon snacks compared with early group (56.3%, 95%CI 52.4- 60.2 vs. 47.2%, 95%CI 43.5- 50.8). The study findings suggest that morning preference appears to promote healthier breakfast, lunch, and afternoon snack patterns, whereas later sleep timing may pose challenges in maintaining healthy patterns at these meals/snacks.

Validation of intrinsic capacity and healthy sleep pattern in middle-aged and older adults: a longitudinal Chinese study assessing healthy ageing

ObjectivesIntrinsic capacity (IC), a multidimensional construct encompassing mental and physical capacities, has been established in the aging framework by the World Health Organization. However, the detailed relationship between IC and Chinese sleep patterns (nighttime sleep and post-lunch naps) remains inadequately elucidated. MethodsParticipants in this study were individuals aged ≥45 years residing in China, included in the China Health and Retirement Longitudinal Study (CHARLS). We analyzed 4 years of CHARLS data from the first wave (May 2011–March 2012) to the second wave (July 2015–January 2016). Data from these waves were utilized for longitudinal analysis. Self-reported data included nighttime sleep and nap duration, along with other baseline characteristics. The IC evaluation involved physical examinations and blood tests. Initially, linear regression was used to assess the relationship between total sleep duration, nighttime sleep duration, nap duration, and IC change between the two waves that were determined by marginal effects (ME) and their corresponding 95% confidence intervals (CIs). Regression splines were employed to explore potential nonlinear associations. Subgroup and sensitivity analyses were conducted to investigate the heterogeneity of IC change under specific conditions and the robustness of our results. Mediation analysis was performed to identify potential factors mediating the relationship between sleep patterns and IC change. ResultsBoth excessive (>10 h) (total, ME: −1.12; 95% CI: −1.61, −0.64; nighttime, ME: −1.44; 95% CI: −2.29, −0.59) and insufficient (<6 h) sleep duration (total, ME: −0.43; 95% CI: −0.68, −0.18; nighttime, ME: −0.50; 95% CI: −0.73, −0.27) negatively impacted IC change. Moderate naps (≤60 min) mitigated the decline in IC change (ME: 0.28; 95% CI: 0.07, 0.49). IC values decreased at the slowest rate when nap time constituted one-seventh of total sleep time. The onset of dyslipidemia partially mediated the association between naps (≤60 min) and IC change (P = 0.02). ConclusionsThese findings suggest that maintaining a healthy sleep pattern of 6−8 h of nighttime or total sleep, along with a post-lunch nap of ≤60 min, helps preserve optimal IC or delay its decline. This is particularly beneficial for cognitive, psychological, and locomotion performance among middle-aged and older adults.

Beyond Intrinsic Motivation: The Role of Autonomous Motivation in User Experience

Motivation and autonomy are fundamental concepts in Human–Computer Interaction (HCI), yet in User Experience (UX) research they have remained surprisingly peripheral. We draw on Self-Determination Theory (SDT) to analyse autonomous and non-autonomous patterns of motivation in 497 interaction experiences. Using latent profile analysis, we identify five distinct patterns of motivation in technology use—‘motivational profiles’—associated with significant differences in need satisfaction, affect, and perceived usability. Users’ descriptions of these experiences also reveal qualitative differences between profiles: from intentional, purposive engagement, to compulsive use which users themselves consider unhealthy. Our results complicate exclusively positive notions of intrinsic motivation and clarify how extrinsic motivation can contribute to positive UX. Based on these findings, we identify open questions for UX and SDT: addressing ‘hedonic amotivation’—negative experiences in activities which are intrinsically motivated but not otherwise valued—and ‘design for internalisation’—scaffolding healthy and sustainable patterns of engagement over time.

Associations between dietary nutrient intake and sleep disorders in cancer survivors base on NHANES 2005 to 2018.

Sleep disorders significantly impact the quality of life for many individuals, which remain largely unrecognized. It is widely believed that dietary nutrient intake plays a crucial role in promoting healthy sleep patterns. However, there is lack of research focusing on cancer survivors. This study utilized the National Health and Nutrition Examination Survey (NHANES) database to investigate the correlation between dietary nutrient intake and sleep disorders in cancer survivors. Analyzing data from 2882 cancer survivors in NHANES spanning from 2005 to 2018. Dietary nutrient intake was evaluated through two 24-h dietary recalls. Weighted multivariable logistic regression model was employed to further applied to explore the association between dietary fiber intake and sleep disorders while controlling for relevant confounding factors. Additionally, the nonlinear and dose-response relationships were explored using restricted cubic spline (RCS) regression along with smooth curve fitting and threshold effect analysis. Stratified analysis and interaction analysis were conducted to assess the consistency of the results. Univariable and multivariable analysis demonstrated that dietary fiber intake showed negative correlation with sleep disorders (P < 0.05). Treating dietary fiber intake as continuous variable. After accounting for all covariates, the study reaffirmed the protective role of dietary fiber (odds ratio [OR]: 0.99, 95% confidence interval [CI]: 0.98-0.99, P = 0.044). Analysis of dietary fiber intake in quartiles further supported this trend (P < 0.001). Interestingly, further investigations indicated that dietary fiber intake was not associated with sleep apnea, insomnia, restless legs syndrome, or other types of sleep disorders (P > 0.05). Notably, no statistically significant interactions were observed in all subgroup analyses except poverty income ratio (PIR) (P for interaction < 0.05), indicating that the protective effect of dietary fiber on sleep disorders was more pronounced in individuals with PIR ≥2.5. Our results suggest that adequate dietary fiber intake may be beneficial dietary strategy to reduce sleep disorders in cancer survivors.

Evaluation of food pattern behaviours following nutritional education for health professionals

Abstract Background The “Work Programme - UN Decade of action on nutrition 2016-2025” highlights the importance of implementing Recommendation 19 of the Second International Conference on Nutrition of FAO and WHO related to nutrition education interventions (NEI) for health professionals (HP), in order to develop nutritional skills based on national dietary guidelines and coherent policies relating to food. The Local Health Agency integrated with Trieste University (ASUGI), since 2009, has performed 25 NEI with the formation of 910 HP. Post pandemic, the content of ASUGI’s last 5 NEI, programmed by the prevention plan of the Autonomous Region of Friuli Venezia Giulia, was aligned with the principles of the European Farm to Fork Strategy linked to Sustainable Healthy Diets (SHD). Objectives The objectives of the training programme (TP), approved for Continuing Medical Education, was to change and evaluate food pattern behaviour (FPB) of HP (n = 200) to adhere to the SHD. TP was characterized by a systemic view on complex interconnections between nutritional and sensorial food value, sustainability of food chain systems, evolution of urban food environments, as contexts into which SHD choices can be applied. The 2 days training, spread over 14 hours with 40 participants, concluded with interactive work and experiences to applied knowledge and beginning to make informed healthy dietary choices in practice. Results 6 months after the conclusion of TP it was reported that the percentage of HP who consumed the recommended portions of fruits and vegetables had increased from 62% to 70% and from 28% to 35% respectively, while those who consumed no cured meats, red meats or legumes, changed from 24% to 35%, from 19% to 25%, from 6% to 3% respectively. Conclusions The evaluation of the TP systemic structure has shown its effectiveness in improving some healthy FPB of HP and the importance of applying a continuous improvement process of the program to better adhere to the whole SHD. Key messages • The systemic and integrated structure of nutritional education intervention programs for health professionals contributes to improving their healthy food pattern behaviour. • The relationships between complex policies of food systems and the 17 SDGs included in the training programs on nutrition education are useful for promoting adherence to healthy and sustainable diets.

Dietary patterns among European children and their association with adiposity-related outcomes: a multi-country study.

Children's diets in school-age are inherently unhealthy, with few meeting dietary recommendations. Yet, little is known about similarities and differences on dietary patterns across countries and their association with obesity. We aimed to derive dietary patterns in childhood and explore their association with adiposity-related outcomes in childhood and adolescence. This study included data from six European countries (Spain, France, UK, Greece, Lithuania and Norway) during childhood (n = 1597) and adolescence (n = 803). Using a food frequency questionnaire, we derived data-driven dietary patterns through exploratory factor analyses and calculated the Mediterranean KIDMED index. We assessed body mass index z-score (zBMI), fat mass proportion and waist-to-height ratio at both visits. Associations were estimated using generalized linear regressions, adjusted for key-confounders. "Meat", "Dairy", "Western", "Healthy" and "Sweets and fats" dietary patterns were derived. Norwegian children showed better diet quality, with higher consumption of fruits and vegetables, and highest "Healthy pattern" adherence, and Lithuanian children, the worst, with higher sweets consumption, and highest "Western pattern" adherence. Children with lower intake of healthy foods (vegetables, fruits, fish) tended to have higher adiposity, e.g., children with average or low "Healthy pattern" adherence (vs. high) had higher fat mass proportion in childhood (average: β (95% CI) 1.44 (0.48; 2.39), low: 1.10 (0.09; 2.12)). Low adherence to a "Healthy pattern" (vs. high) was associated with increased adolescent zBMI, and child and adolescent waist-to-height ratio. Low "Dairy pattern" adherence (vs. high), was associated with lower zBMI and fat mass in childhood, but not in adolescence. No significant associations were seen with the KIDMED index. Many European children have poor diets and a low adherence to a healthy diet pattern may be of concern for adiposity-related outcomes. Assessment of children's dietary patterns can help tailor dietary advice and provide support for families aiming to prevent future excess weight gain.

Penerapan Decision Trees dalam Mendeteksi Pola Tidur Sehat Berdasarkan Kebiasaan Gaya Hidup

A good sleep pattern is very important for our body's health both physically and mentally, while lifestyle habits such as physical activity and diet play a big role in influencing sleep quality. By using a decision tree, researchers aim to predict whether we have a healthy sleep pattern or not based on lifestyle. Healthy sleep patterns are regular and quality sleep habits to maintain our physical health. Healthy sleep patterns generally involve sleeping 8 hours – 9 hours per night, having a regular and consistent sleep time. The decision tree model was chosen because of the decision tree's ability to provide accurate predictions and produce rules that are easy to understand. This model can help us raise awareness of the importance of a healthy lifestyle in maintaining sleep quality.

Association between healthy lifestyle on life course and multimorbidity in adults: results from two national prospective cohort studies

ObjectivesTo examine the correlation between healthy lifestyle patterns, their change trajectories, and the risk of multimorbidity in adults.MethodsBased on two representative national cohorts, the English Longitudinal Study of Aging (ELSA) and the Health and Retirement Study (HRS) including adults aged 50 years and over. We employed Cox regression, lifestyle change trajectories, and restricted mean survival times to explore the relationship between lifestyle (assessed by SCORE2, LE’8, and HLS scores) and multimorbidity. We also conducted mediation analysis to investigate the underlying mechanisms.ResultsA healthy lifestyle (higher LE’8, higher HLS, or lower SCORE2) can reduce the risk of multimorbidity. 2-10% lower multimorbidity risk per one-point increase in LE’8 and HLS. The hazard ratio of multimorbidity for improvements in unhealthy lifestyles or deterioration in healthy lifestyles compared to always healthy lifestyles ranged from 1.598 to 5.602. Besides, for LE’8 and HLS, participants with higher scores had a slower decrease in survival probability in ELSA. Triglyceride, C-reaction protein, fibrinogen, and cystatin C partly mediate the association between lifestyle and multimorbidity.ConclusionsKeeping a healthy lifestyle over time can help reduce the risk of multimorbidity.

Diet quality in young adulthood and sleep at midlife: a prospective analysis in the Bogalusa Heart Study

BackgroundDiet and sleep are both established risk factors for cardiometabolic diseases. Prior evidence suggests a potential link between these behaviors, though longitudinal evidence for how diet associates with sleep is scarce. This study aimed to determine the prospective association between diet quality in young adulthood and multiple sleep outcomes at midlife in the Bogalusa Heart Study (BHS).MethodsThis prospective study included 593 BHS subjects with dietary assessment at the 2001–2002 visit and sleep questionnaire responses from the 2013–2016 visit, after an average of 12.7 years (baseline mean age: 36 years, 36% male, 70%/30% White and Black persons). A culturally tailored, validated food frequency questionnaire assessed usual diet. Diet quality was measured with the Alternate Healthy Eating Index (AHEI) 2010, the Healthy Eating Index (HEI) 2015, and the alternate Mediterranean (aMed) dietary score. Robust Poisson regression with log-link function estimated risk ratios (RR) for insomnia symptoms, high sleep apnea score, and having a healthy sleep pattern by quintile and per standard deviation (SD) increase in dietary patterns. Models adjusted for potential confounders including multi-level socioeconomic factors, depression, and body mass index. Trends across quintiles and effect modification by sex, race, and education were tested.ResultsHigher diet quality in young adulthood, measured by both AHEI and HEI, was associated with lower probability of having insomnia symptoms at midlife. In the adjusted model, each SD-increase in AHEI (7.8 points; 7% of score range) conferred 15% lower probability of insomnia symptoms at follow-up (RR [95% confidence interval CI]: 0.85 [0.77, 0.93]), those in Q5 of AHEI had 0.54 times the probability as those in Q1 (95% CI: 0.39, 0.75), and there was a significant trend across quintiles (trend p = 0.001). There were no significant associations between young adult diet quality and having a high sleep apnea risk or a healthy sleep pattern at follow-up.ConclusionsA healthy diet was associated with a lower probability of future insomnia symptoms. If replicated, these findings could have implications for chronic disease prevention strategies incorporating the lifestyle behaviors of sleep and diet.

Role models in gaming: Wishful identification and maladaptive daydreaming mediate the association between desire for fame and game engagement

BackgroundThe popularity of video games has considerably increased in recent years, with approximately 3.24 billion players worldwide in 2021. Empirical evidence suggests that the quality of engagement in video games can determine whether a gaming activity is associated with psychological distress (i.e., problematic gaming) or self-enhancing outcomes (i.e., esports career pursuits). This study investigates the role of influential gaming role models and other external factors relating to fame appeal in gamers' different ways of engagement. MethodsA total of 803 adolescent and adult gamers (89.29 % male, Mage = 24.90 years, SD = 6.13) were recruited through an online questionnaire. ResultsA path analysis was constructed demonstrating that wishful identification partially mediated the relationship between desire for fame and esports career planning. Moreover, maladaptive daydreaming fully mediated the association between desire for fame and gaming disorder symptoms. Wishful identification with gaming role models predicted both esports career planning and gaming disorder symptoms. ConclusionsThe findings shed light on the importance of considering the role of gaming role models in predicting healthy and problematic gaming patterns.

Patterns of beverages consumption and prevalence of non-communicable chronic diseases.

Beverages consumption influences diet quality in general and has been associated with the development of non-communicable chronic diseases (NCCD). We aimed to verify the association between beverage consumption patterns and the prevalence of NCCD. A cross-sectional household and population-based study was conducted with 489 individuals aged 20 years and older. The presence of NCCD (arterial hypertension, diabetes, cancer and hypercholesterolemia) was obtained by self-report, while obesity was diagnosed by measuring body weight, height and waist circumference. Beverage consumption patterns were obtained by principal component analysis. The association between beverages patterns and the prevalence of NCCD was verified using Poisson regression, expressed as prevalence ratio (PR) and adjusted for potential confounding factors. Three beverage patterns were identified: ‘ultra-processed beverages’, ‘alcoholic beverages’ and ‘healthy beverages’. Individuals with greater adherence to the Ultra-processed Beverages Pattern had a 2·77 times higher prevalence of cancer (PR: 3·77; 95 % CI 1·57, 9·07). Higher adherence to the Alcoholic Beverages Pattern was associated with a higher prevalence of obesity (PR: 1·97; 95 % CI 1·13, 3·44). In contrast, individuals in the second tertile of adherence to the Healthy Beverages Pattern had a 39 % lower prevalence of hypercholesterolemia (PR: 0·61; 95 % CI 0·40, 0·92), and individuals in the third tertile had a 10 % lower prevalence of abdominal obesity estimated by the waist-to-height ratio (PR: 0·90; 95 % CI 0·83, 0·97). Beverage consumption patterns may be associated with a higher prevalence of NCCD, regardless of other risk factors. It is therefore important to conduct more studies investigating the impact of beverages patterns on health.

Optimal lifestyle patterns for delaying ageing and reducing all-cause mortality: insights from the UK Biobank

BackgroundWith the rapid aging of the global population, identifying lifestyle patterns that effectively delay aging and reduce mortality risk is of paramount importance. This study utilizes the UK Biobank to analyze the associations of the Dietary Inflammatory Index, physical activity, and sleep on biological aging and all-cause mortality.MethodsA prospective cohort study was conducted using data from over half a million UK Biobank participants. Two datasets were created by subjective and objective measurements of physical activity: the Subjective Physical Activity (SPA) and Objective Physical Activity (OPA) datasets. Lifestyle patterns, including diet habits, exercise levels, and sleep quality, were assessed within these datasets. Biological aging was quantified using validated methods, including Homeostatic Dysregulation, Klemera-Doubal Method Biological Age, Phenotypic Age, and Telomere Length. All-cause mortality data were obtained from the National Health Service. Statistical analyses included weighted linear regression and Cox proportional hazard models, adjusted for a range of covariates.ResultsThe findings indicate that, in most cases, maintaining an anti-inflammatory diet, engaging in at least moderate physical activity, and ensuring healthy sleep conditions are associated with delayed physiological aging (Cohen’s d ranging from 0.274 to 0.633) and significantly reduced risk of all-cause mortality (HR-SPA: 0.690, 95% CI: 0.538, 0.884; HR-OPA: 0.493, 95% CI: 0.293, 0.828). These effects are particularly pronounced in individuals under 60 years of age and in women. However, it was observed that the level of physical activity recommended by the World Health Organization (600 MET-minutes/week) does not achieve the optimal effect in delaying biological aging. The best effect in decelerating biological aging was seen in the high-level physical activity group (≥ 3000 MET-minutes/week). The study also highlights the potential of biological age acceleration and telomere length as biomarkers for predicting the risk of mortality.ConclusionsChoosing healthy lifestyle patterns, especially an anti-inflammatory diet, at least moderate physical activity, and healthy sleep patterns, is crucial for delaying aging and reducing mortality risk. These findings support the development of targeted interventions to improve public health outcomes. Future research should focus on objective assessments of lifestyle to further validate these associations.

Income-based environmental effects of family food consumption and the affordability towards healthy diets

Environmentally sustainable diets are attracting increasing attention, but the environmental impact of diets with different income residents is still poorly understood. Based on the environmental footprint method, we explored the environmental impact of food consumption in China from 2000 to 2020, and used the Logarithmic Mean Divisia Index (LMDI) model to investigate its driving factors. Furthermore, we constructed a multi-objective optimization model, incorporating the affordability indicator, to optimize a healthy diet pattern. The results show that: (1) The food diversity index (FDI) was directly proportional to income, and geographically, the FDIs of economically developed provinces were higher than that of economically developing provinces. (2) The environmental footprint caused by food consumption was gradually increasing, with 60 % of the carbon footprint of low-income residents coming from grain and pork. (3) Dietary affordability was a major factor in increasing environmental footprint. High-income residents had greater access to milk, meat, etc., which had a greater negative environmental impact. We put forward suggestions on dietary optimization and affordability for different income residents, with a view to achieving nutritional and healthy diets of Chinese while generating minimum resource and environmental load, and promoting the transformation of the agro-food system.

Gender-Based Analysis of Healthy Lifestyle Patterns and Healthy Habits of University Students

Gender-Based Analysis of Healthy Lifestyle Patterns and Healthy Habits of University Students

Reference data for body composition parameters in normal-weight Polish adolescents: results from the population-based ADOPOLNOR study.

This study provides reference data for body composition in normal (healthy) weight Polish adolescents, providing a contextualised framework that takes into account the unique physiological and environmental factors of the region. These reference data may also be useful for other Central European adolescents. • Adolescence is a period of significant physical growth and increased susceptibility to nutritional problems due to factors such as suboptimal nutrition, unhealthy dietary choices, inadequate physical activity and psychosocial stressors related to body image concerns. • Body composition (BC) parameters, rather than BMI alone, are more effective in identifying nutritional abnormalities and health risks such as eating disorders, obesity and chronic diseases. Existing studies provide reference data for BC parameters, but often do not cover all relevant measures or specific regional populations. • This study provides new age- and sex-specific reference values for a comprehensive range of body composition parameters, including body cell mass (BCM), total body water (TBW) and muscle mass (MM), in addition to fat-free mass (FFM) and fat mass (FM), in a large, ethnically homogeneous, normal-weight population of Polish adolescents aged 10-18years. • These reference values for the normalweight cohort reflect healthy adolescent growth and body composition patterns, minimising bias from abnormal weight status.In addition, they can be applied to other Central European adolescent populations.

Advanced multi-scale mechanobiological simulations enable the distinction between healthy and pathological bone growth patterns

Advanced multi-scale mechanobiological simulations enable the distinction between healthy and pathological bone growth patterns