Effects of mindfulness-based interventions on anthropometric outcomes: A systematic review and meta-analysis

BACKGROUND AND OBJECTIVES

The effects of mindfulness-based interventions (MBIs) on anthropometrics remain obscure. This review quantitatively synthesizes the effects of MBIs on decreasing body mass index (BMI), waist circumference (WC), weight, and percent body fat (%BF).

METHODS

Seven databases, including CINAHL Plus with Full Text, PubMed, PsycINFO, Cochrane, Web of Science Core Collection, Embase, and Sociological Abstracts were searched; studies with a comparison group were selected. Random-effects models were then applied to estimate the pooled effects (Hedge's g), while exploratory moderation analyses with mixed-effects models were performed to explore potential moderators of MBIs on anthropometrics.

RESULTS

The pooled effect size was -0.36 (p < .001) on BMI, -0.52 (p < .001) on WC, -1.20 (p < .004) on weight loss, and -0.43 (p = .389) on %BF. The long-term effects from baseline to follow-up and from post-intervention to follow-up were sustained on BMI (-0.37, p = .027; -.24, p = .065) and weight loss (-1.91, p = .027; -0.74, p = .011) respectively. For weight loss, adding mindful movement had greater effects than those without (-2.65 vs -0.39, p < .001).

CONCLUSION

Our findings support the short-term MBI effects on BMI reduction, WC, weight, and %BF, and long-term effects on reducing BMI and weight. Future efforts should focus on sustaining effects on reducing WC and %BF.

The association of a combined healthy lifestyle with the risk of postmenopausal breast cancer subtypes in the Netherlands Cohort Study

The association between combined healthy lifestyle and postmenopausal breast cancer risk has been studied in various cohort studies, but only few evaluated the association with estrogen/progesterone (ER/PR) receptor subtypes of breast cancer, with inconsistent results. The relationship of a healthy lifestyle score (HLS) with risk of postmenopausal breast cancer (subtypes) was investigated in the Netherlands Cohort Study. In 1986, 62,573 women aged 55-69 years provided information on dietary and lifestyle habits. The HLS was derived from information on smoking, body mass index, physical activity, Mediterranean diet adherence, and alcohol intake. After 20.3 years of follow-up, multivariable case-cohort analyses were based on 2321 incident breast cancer cases, and 1665 subcohort members with complete data on lifestyles and confounders. The HLS showed a statistically significant inverse relationship with postmenopausal breast cancer risk, in a linear fashion. A one-point increment of the HLS was accompanied by a Hazard Ratio (HR) reduction of 20% for overall breast cancer. The associations between HLS and risk of ER/PR breast cancer subtypes were also significantly inverse, except for ER- breast cancer where the inverse association did not reach statistical significance. Per HLS-increment of one point, the HR reduction ranged from 14% for ER-breast cancer to 29% for ER + PR- breast cancer. These findings suggest that adhering to a combination of healthy modifiable lifestyle factors may substantially reduce the risk of overall postmenopausal breast cancer and its hormone receptor subtypes.

Prevalence of Cardiovascular Risk Factors and Related Medical and Lifestyle Interventions Among Italian Cardiovascular Specialists: A Proof-of-Concept Study

INTRODUCTION

Physicians and researchers in the cardiovascular field are constantly engaged in the promotion of guidelines-directed preventive measures, but whether they are themselves adherent to the same recommendations was only sporadically examined.

AIM

To assess awareness of self-exposure to cardiovascular risk factors and related management among cardiovascular specialists.

METHODS

During the National Conference of the Italian Society of Hypertension (October 2022), a pilot observational study on consecutive volunteer cardiovascular specialists was conducted. Participants underwent standard sitting and standing blood pressure (BP) measurements and answered a questionnaire regarding modifiable/non modifiable cardiovascular risk factors and related treatments. Based on self-declarations and actual measurements, BP was classified as optimal, normal, high-normal BP, and new hypertension in untreated participants, and as treated/untreated pre-existing hypertension. Controlled hypertension was defined as BP < 140/90 mmHg; age-adjusted lower targets were also applied, according to guidelines.

RESULTS

In total, 62 participants (30 F, mean age 43.2 ± 14.8 years) were enrolled; 79% reported regular physical activity; 53% of women and 38% of men were on a low-salt diet. After smoke (19.4%), dyslipidemia was the second most common risk factor (17.7%), often occurring with high BP (26.3%) and left untreated (36.7%). Pre-existing hypertension (11.3%) was often uncontrolled (57.1%) and associated with non-adherence to guidelines-directed lifestyle recommendations. About one in 12 participants was unaware of having high measured BP values.

CONCLUSIONS

Despite the specific professional exposure, a margin for improvement in self cardiovascular risk factors awareness and management remains in this exploratory sample of cardiovascular specialists. This pilot research anticipates forthcoming, larger studies during national and international conferences.

The (cost-)effectiveness of combined lifestyle interventions for people with persistent low-back pain who are overweight or obese: A systematic review

INTRODUCTION

Lifestyle factors are expected to contribute to the persistence and burden of low-back pain (LBP). However, there are no systematic reviews on the (cost-)effectiveness of combined lifestyle interventions for overweight or obese people with LBP.

AIM

To assess whether combined lifestyle interventions are (cost-)effective for people with persistent LBP who are overweight or obese, based on a systematic review.

DESIGN

Systematic review METHOD: PubMed, Cochrane, Embase, CINAHL, PsycINFO and the Wiley/Cochrane Library were searched from database inception till January 6^th 2023. Two independent reviewers performed study selection, data-extraction and risk of bias scoring using the Cochrane RoB tool 2 and/or the Consensus Health Economic Criteria list. GRADE was used to assess the level of certainty of the evidence.

RESULTS

In total 2510 records were screened, and 4 studies on 3 original RCTs with 216 participants were included. Low certainty evidence (1 study) showed that combined lifestyle interventions were not superior to usual care for physical functioning, pain and lifestyle outcomes. Compared to usual care, moderate certainty evidence showed that healthcare (-$292, 95%CI: 872; -33), medication (-$30, 95% CI -65; -4) and absenteeism costs (-$1000, 95%CI: 3573; -210) were lower for the combined lifestyle interventions.

CONCLUSION

There is low certainty evidence from 3 studies with predominantly small sample sizes, short follow-up and low intervention adherence that combined lifestyle interventions are not superior to physical functioning, pain and lifestyle outcomes compared to usual care, but are likely to be cost-effective.

Determination of Quality of Life and Related Factors in Overweight Women Living in Rural Areas

Background

Obesity is more common among women living in rural areas of Türkiye and being overweight affects the quality of life of women.

Aim

Through this study, we aimed to determine the quality of life and related factors of overweight women living in rural areas.

Materials and Methods

This is a descriptive correlational study. The data were collected using the Personal Information Form and the Scale of Quality-of-Life Overweight Women (SMQLOW) between April and June 2020. The study sample comprised women with a body mass index (BMI) of 25 and above.

Results

The study included 201 women, 41.8% of the participants were in the 36-51 age group and 50.2% had a BMI between 30 and 49.2 (obese). It was determined that the quality of life of women was at a moderate level. The difference between the total SMQLOW score with respect to age, educational status, economic status, occupation of the spouse, general health status, and BMI were found to be statistically significant (P < 0.05). We examined the correlation of some variables with the total scale score of overweight women. A significant positive and weak correlation was found between weight and the SMQLOW total score (r = 0.390, P = 0.001). There was a positively weak and highly significant, correlation between waist circumference and SMQLOW total score (r = 0.277, P < 0.001).

Conclusion

Preventing obesity may improve the quality of life among rural women in the study Population.

Metabolic signature of healthy lifestyle and risk of rheumatoid arthritis: observational and Mendelian randomization study

BACKGROUND

While substantial evidence reveals that healthy lifestyle behaviors are associated with a lower risk of rheumatoid arthritis (RA), the underlying metabolic mechanisms remain unclear.

OBJECTIVES

This study aimed to identify the metabolic signature reflecting a healthy lifestyle and investigate its observational and genetic linkage with RA risk.

METHODS

This study included 87,258 UK Biobank participants (557 cases of incident RA) aged 37 to 73 years with complete lifestyle, genotyping and nuclear magnetic resonance (NMR) metabolomics data. A healthy lifestyle was assessed based on five factors: healthy diet, regular exercise, not smoking, moderate alcohol consumption, and normal body mass index. The metabolic signature was developed by summing selected metabolites' concentrations weighted by the coefficients using elastic net regression. We used multivariate Cox model to assess the associations between metabolic signatures and RA risk, and examined the mediating role of the metabolic signature in the impact of a healthy lifestyle on RA. We performed genome-wide association analysis (GWAS) to obtain genetic variants associated with the metabolic signature, then conducted Mendelian randomization (MR) analyses to detect causality.

RESULTS

The metabolic signature comprised of 81 metabolites, robustly correlated with healthy lifestyle ( r = 0.45, P = 4.2 × 10^-15). The metabolic signature was inversely associated with RA risk (HR per SD increment: 0.76, 95% CI: 0.70-0.83), and largely explained protective effects of healthy lifestyle on RA with 64% (95%CI: 50.4-83.3) mediation proportion. One and two-sample MR analyses also consistently showed the associations of genetically inferred per SD increment in metabolic signature with a reduction in RA risk (HR: 0.84, 95% CI: 0.75-0.94, P = 0.002 and OR: 0.84, 95% CI: 0.73-0.97, P = 0.02 respectively).

CONCLUSION

Our findings implicate the metabolic signature reflecting healthy lifestyle as a potential causal mediator in the development of RA, highlighting the importance of early lifestyle intervention and metabolic tracking for precise prevention of RA.

Adherence to a healthy lifestyle and brain structural imaging markers

Previous research has linked specific modifiable lifestyle factors to age-related cognitive decline in adults. Little is known about the potential role of an overall healthy lifestyle in brain structure. We examined the association of adherence to a healthy lifestyle with a panel of brain structural markers among 2,413 participants in PolyvasculaR Evaluation for Cognitive Impairment and vaScular Events (PRECISE) study in China and 19,822 participants in UK Biobank (UKB). A healthy lifestyle score (0-5) was constructed based on five modifiable lifestyle factors: diet, physical activity, smoking, alcohol consumption, and body mass index. Validated multimodal neuroimaging markers were derived from brain magnetic resonance imaging. In the cross-sectional analysis of PRECISE, participants who adopted four or five low-risk lifestyle factors had larger total brain volume (TBV; β = 0.12, 95% CI: - 0.02, 0.26; p-trend = 0.05) and gray matter volume (GMV; β = 0.16, 95% CI: 0.01, 0.30; p-trend = 0.05), smaller white matter hyperintensity volume (WMHV; β = - 0.35, 95% CI: - 0.50, - 0.20; p-trend < 0.001) and lower odds of lacune (Odds Ratio [OR] = 0.48, 95% CI: 0.22, 1.08; p-trend = 0.03), compared to those with zero or one low-risk factors. Meanwhile, in the prospective analysis in UKB (with a median of 7.7 years' follow-up), similar associations were observed between the number of low-risk lifestyle factors (4-5 vs. 0-1) and TBV (β = 0.22, 95% CI: 0.16, 0.28; p-trend < 0.001), GMV (β = 0.26, 95% CI: 0.21, 0.32; p-trend < 0.001), white matter volume (WMV; β = 0.08, 95% CI: 0.01, 0.15; p-trend = 0.001), hippocampus volume (β = 0.15, 95% CI: 0.08, 0.22; p-trend < 0.001), and WMHV burden (β = - 0.23, 95% CI: - 0.29, - 0.17; p-trend < 0.001). Those with four or five low-risk lifestyle factors showed approximately 2.0-5.8 years of delay in aging of brain structure. Adherence to a healthier lifestyle was associated with a lower degree of neurodegeneration-related brain structural markers in middle-aged and older adults.

Associations of healthy lifestyle with depression and post-depression dementia: A prospective cohort study

BACKGROUND

Depressive symptoms may be a risk factor or prodrome of dementia, but the modifiable risk factors for dementia after onset of depression has not been fully elucidated. The current study aimed to investigate the associations of lifestyle factors with depression and post-depression dementia.

METHODS

Our analysis was based on data from the ongoing UK Biobank study, which included 497,533 participants (age 37-73 years) between 2006 and 2010, and thereafter followed up to 2020. High-risk lifestyle factors included current smoking, heavy alcohol intaking, poor diet pattern, physically inactive. Multistate models were used to estimate the transition-specific hazard ratios (HRs) and 95 % confidence intervals (CIs).

RESULTS

During a 14.8-year follow-up, 23,164 participants developed depression, and 989 developed post-depression dementia. The incidence rate of dementia in people with depression was far more than those who were free of depression. In multistate model, high-risk lifestyle factors were substantially associated with higher risks of incident depression (HR = 2.14, 95 % CI: 1.95-2.35), dementia (HR = 1.87, 95 % CI: 1.51-2.31), and post-depression dementia (HR = 1.72, 95 % CI: 1.13-2.62). When the analyses were divided by individual lifestyle factors, we found that only physically inactive contributed significantly to the development of dementia after the onset of depression (HR = 1.15, 95 % CI: 1.01-1.30).

CONCLUSION

Our study found that high-risk lifestyle factors were associated with higher risk of transition from depression to dementia, highlighting the great significance of integrating comprehensive behavioral interventions, particularly for regular physical activity, for prevention of both depression and post-depression dementia.

Healthy lifestyle interventions for childhood and adolescent cancer survivors: a systematic review and meta-analysis

PURPOSE

This study investigated the effects of healthy lifestyle interventions (HLSIs) on health-related quality of life (HR-QoL) in childhood and adolescent cancer survivors (CACS).

METHODS

Major databases were searched for English-language original articles published between January 1, 2000 and May 2, 2021. Randomized controlled trials (RCTs) and non-RCTs were included. Quality was assessed using the revised Cochrane risk-of-bias tool, and a meta-analysis was conducted using RevMan 5.3 software.

RESULTS

Nineteen studies were included. Significant effects on HR-QoL were found for interventions using a multi-modal approach (exercise and education) (d=-0.46; 95% confidence interval [CI]=-0.84 to -0.07, p=.02), lasting not less than 6 months (d=-0.72; 95% CI=-1.15 to -0.29, p=.0010), and using a group approach (d=-0.46; 95% CI=-0.85 to -0.06, p=.02). Self-efficacy showed significant effects when HLSIs provided health education only (d=-0.55; 95% CI=-0.92 to -0.18; p=.003), lasted for less than 6 months (d=-0.40; 95% CI=-0.69 to -0.11, p=.006), and were conducted individually (d=-0.55; 95% CI=-0.92 to -0.18, p=.003). The physical outcomes (physical activity, fatigue, exercise capacity-VO2, exercise capacity-upper body, body mass index) revealed no statistical significance.

CONCLUSION

Areas of HLSIs for CACS requiring further study were identified, and needs and directions of research for holistic health management were suggested.

A Healthy Lifestyle in Men at Increased Genetic Risk for Prostate Cancer

BACKGROUND

Prostate cancer is the most heritable cancer. There is a need to identify possible modifiable factors for men at an increased risk of prostate cancer due to genetic factors.

OBJECTIVE

To examine whether men at an increased genetic risk of prostate cancer can offset their risk of disease or disease progression by adhering to a healthy lifestyle.

DESIGN, SETTING, AND PARTICIPANTS

We prospectively followed 12 411 genotyped men in the Health Professionals Follow-up Study (1993-2019) and the Physicians' Health Study (1983-2010). Genetic risk of prostate cancer was quantified using a polygenic risk score (PRS). A healthy lifestyle was defined by healthy weight, vigorous physical activity, not smoking, and a healthy diet.

OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS

Overall and lethal prostate cancer events (metastatic disease/prostate cancer-specific death) were analyzed using time-to-event analyses estimating hazard ratios (HRs) and lifetime risks.

RESULTS AND LIMITATIONS

During 27 yr of follow-up, 3005 overall prostate cancer and 435 lethal prostate cancer events were observed. The PRS enabled risk stratification not only for overall prostate cancer, but also for lethal disease with a four-fold difference between men in the highest and lowest quartiles (HR, 4.32; 95% confidence interval [CI], 3.16-5.89). Among men in the highest PRS quartile, adhering to a healthy lifestyle was associated with a decreased rate of lethal prostate cancer (HR, 0.55; 95% CI, 0.36-0.86) compared with having an unhealthy lifestyle, translating to a lifetime risk of 1.6% (95% CI, 0.8-3.1%) among the healthy and 5.3% (95% CI, 3.6-7.8%) among the unhealthy. Adhering to a healthy lifestyle was not associated with a decreased risk of overall prostate cancer.

CONCLUSIONS

Our findings suggest that a genetic predisposition for prostate cancer is not deterministic for a poor cancer outcome. Maintaining a healthy lifestyle may provide a way to offset the genetic risk of lethal prostate cancer.

PATIENT SUMMARY

This study examined whether the genetic risk of prostate cancer can be attenuated by a healthy lifestyle including a healthy weight, regular exercise, not smoking, and a healthy diet. We observed that adherence to a healthy lifestyle reduced the risk of metastatic disease and prostate cancer death among men at the highest genetic risk. We conclude that men at a high genetic risk of prostate cancer may benefit from adhering to a healthy lifestyle.

Emerging healthy lifestyle factors and all-cause mortality among people with metabolic syndrome and metabolic syndrome-like characteristics in NHANES

BACKGROUND

The impact of integrated lifestyles on health has attracted a lot of attention. It remains unclear whether adherence to low-risk healthy lifestyle factors is protective in individuals with metabolic syndrome and metabolic syndrome-like characteristics. We aimed to explore whether and to what extent overall lifestyle scores mitigate the risk of all-cause mortality in individuals with metabolic syndrome and metabolic syndrome-like characteristics.

METHODS

In total, 6934 participants from the 2007 to 2014 National Health and Nutrition Examination Survey (NHANES) were included. The weighted healthy lifestyle score was constructed based on smoking, alcohol consumption, physical activity, diet, sleep duration, and sedentary behavior information. Generalized linear regression models and restricted cubic splines were used to analyze the association between healthy lifestyle scores and all-cause mortality. ​ RESULTS: Compared to participants with relatively low healthy lifestyle scores, the risk ratio (RR) in the middle healthy lifestyle score group was 0.51 (RR = 0.51, 95% CI 0.30-0.88), and the high score group was 0.26 (RR = 0.26, 95% CI 0.15-0.48) in the population with metabolic syndrome. The difference in gender persists. In females, the RRs of the middle and high score groups were 0.47 (RR = 0.47, 95% CI 0.23-0.96) and 0.21 (RR = 0.21, 95% CI 0.09-0.46), respectively. In males, by contrast, the protective effect of a healthy lifestyle was more pronounced in the high score group (RR = 0.33, 95% CI 0.13-0.83) and in females, the protective effects were found to be more likely. The protective effect of a healthy lifestyle on mortality was more pronounced in those aged < 65 years. Higher lifestyle scores were associated with more prominent protective effects, regardless of the presence of one metabolic syndrome factor or a combination of several factors in 15 groups. What's more, the protective effect of an emerging healthy lifestyle was more pronounced than that of a conventional lifestyle.

CONCLUSIONS

Adherence to an emerging healthy lifestyle can reduce the risk of all-cause mortality in people with metabolic syndrome and metabolic syndrome-like characteristics; the higher the score, the more obvious the protective effect. Our study highlights lifestyle modification as a highly effective nonpharmacological approach that deserves further generalization.

A Network Analysis of Multiple Preconception Health Behaviors in Chinese Women

BACKGROUND

A healthy preconception lifestyle, consisting of multiple health behaviors, is crucial for preventing adverse health outcomes in mothers and offspring. Although knowledge about the pattern of inter-behavior relations may provide insights for nudging multiple health behavior changes, this has not been adequately explored in the existing literature. Adopting a network perspective, the present study conceptualized multiple health behaviors as a behavior network (i.e., behaviors as nodes, inter-behavior relations as edges) and utilized network analysis to investigate the pattern of interrelations of preconception health behaviors in a large sample of Chinese women.

METHOD

We used the data of a population-based cohort study in China to estimate the behavior network. An analytic sample included 41,127 Chinese women who were surveyed about their adoptions of multiple health behaviors during the preconception period.

RESULTS

Network analysis revealed a relatively dense behavior network and visualized the network structure of multiple preconception health behaviors. Subsequent centrality analysis identified three central behaviors (i.e., avoiding second- or third-hand smoke, reducing psychosocial stress, and reducing alcohol) that had distinctively stronger connections to other behaviors.

CONCLUSIONS

Preconception health behaviors were strongly interconnected, and certain behaviors had stronger influences than others within the behavior network. Our findings highlight the strong inter-relatedness of preconception health behaviors. This study also encourages targeting the three central behaviors in preconception lifestyle promotions because this may bring more secondary improvements on other non-targeted behaviors and thereby achieve comprehensive lifestyle change.

Effects of COVID-19 event intensity on college students' health lifestyles: time perspective mediating model and its gender difference

The pandemic of COVID-19 had not only led to healthy-damage behaviors, but also raised people's attention to health and generated health-promoting behaviors. However, little is known about the mechanism underlying how the perception of COVID-19 intensity affects health behaviors. The present study investigated the mediating effect of DBTP between event intensity and health behaviors and the moderating role of gender in this relation. Nine hundred and twenty-four Chinese college students (348 males and 576 females) completed a battery of self-report questionnaires, including COVID-19 Event Intensity Scale, Chinese version of Zimbardo Time Perspective Inventory (ZTPI) and Healthy Lifestyle Scale. Moderated mediation analysis was performed using conditional process analysis. The results showed that COVID-19 intensity had a positive predictive effect on college students' health behaviors. DBTP played a partial mediating role in the relationship between COVID-19 intensity and health behaviors for male and not female. In female group, COVID-19 intensity and DBTP was significantly linked with health behaviour; however, COVID-19 intensity and DBTP were not significantly linked. The findings indicated that COVID-19 intensity perceived by college students could increase their health behaviors, and intervention focus on BTP may contribute to health behaviors only in male. Practical implications were discussed in this academic research.

Healthy choices, healthy changes: A randomized trial of incentives to promote healthy eating and exercise in people with schizophrenia and other serious mental illnesses

INTRODUCTION

People with schizophrenia and other serious mental illnesses (SMI) represent a concerning health disparity population, with 10-30 fewer years of life compared to the general population, mainly from high rates of cardiovascular disease (CVD). Preventing CVD is possible with exercise and diet interventions, but only 50 % of participants in clinical trials achieve reduction in CVD risk. This study assessed whether cash incentives improved weight loss, cardiovascular endurance, and/or mortality risk when added to one of four healthy lifestyle programs (gym membership, Weight Watchers membership, the InSHAPE program, InSHAPE + Weight Watchers).

METHODS

From 2012 to 2015, 1348 overweight or obese adults with SMI enrolled in a study using equipoise stratified randomization. Participants were randomly assigned to intervention, then to cash incentives, or not, for participation (gym and/or Weight Watchers), with baseline and quarterly assessments for 12 months. We examined effects of the interventions, key covariates, and incentives, using generalized linear models.

RESULTS

Main effects of randomization to receive cash incentives was not significant for any outcome; whereas total amount of incentives was significantly associated with all three primary outcomes (weight loss, cardiovascular endurance, mortality risk), mainly for participants in the InSHAPE+WW group who received additional cash incentives.

CONCLUSIONS

Incentives may be effective at preventing CVD and improving health outcomes for people with SMI, especially in the context of intensive support for healthy lifestyle behaviors. Policy changes are required to increase access to healthy lifestyle programming and more research is needed to establish the optimal amount of incentives for people with SMI.

TRIAL REGISTRATION

ClinicalTrials.gov identifier: NCT02515981.

Perspectives on barriers and facilitators to lifestyle change after cardiac events among patients in Saudi Arabia: a qualitative study

AIMS

Lifestyle interventions are an essential element in the prevention of cardiovascular disease. However, promoting a healthy lifestyle is challenging because a multitude of factors interact and influence people's decisions to adopt and maintain healthy lifestyles. The effects of these factors on Saudi cardiac patients are largely unknown. This study aimed to explore the barriers and facilitators to healthy lifestyle changes among Saudis after cardiac events.

METHODS AND RESULTS

The study followed an exploratory qualitative research design, using a social ecological approach. Semi-structured interviews were conducted with 21 participants (13 men and 8 women) who had a cardiac event. Participants were purposively recruited from cardiac clinics of two hospitals in Jeddah, Saudi Arabia. Data were analysed using the qualitative framework analysis, and factors were identified as salient based on their frequency and the potential strength of their impact. Six factors were identified as influencing lifestyle behaviours in cardiac patients, categorized as 'major' factors and 'mediating' factors. The 'major' factors were sociocultural norms, family values, and religious beliefs, and the mediating factors were insufficient healthcare services, physical environment, and policy regulations. Depending upon the behaviours reported and the context, the same factor could be classified as both a barrier and a facilitator.

CONCLUSION

The findings of this study can be used to inform the development of contextual-based interventions to promote the adoption of healthy lifestyles that meet the population needs and are relevant to Saudi society.

Associations between Lifestyle and Sociodemographic Factors in Medical Students: A Cross Sectional Study

Background

Identifying lifestyle characteristics in higher education can lead to effective interventions that benefit both individuals and communities.

Methods

This cross-sectional survey-based study was conducted on medical students of a private university using the Fantastic Lifestyle Questionnaire (FLQ) to assess healthy lifestyles, as well as a custom sociodemographic questionnaire. Additionally, correlations among sociodemographic factors and alcohol intake, activity, tobacco and toxins, family and friends, insight, nutrition, type of behavior, career, sleep, seatbelt, stress, and safe sex domains were assessed.

Results

This study assessed 188 lifestyle profiles, of which 148 have complete data for evaluating the total FLQ score. The majority of evaluated lifestyles were characterized as "good (42.5%)" and "very good (35.8%)", and correlations were identified between the total FLQ score and between the preclinical and later course phases, the 18-20 years and older age brackets, and any romantic relationship and being single. Additional associations were observed for the other domains with other sociodemographic factors.

Conclusion

Medical students frequently present with a lifestyle that may be improved through various targeted interventions.

Genetic susceptibility and lifestyle modify the association of long-term air pollution exposure on major depressive disorder: a prospective study in UK Biobank

BACKGROUND

Evidence linking air pollution to major depressive disorder (MDD) remains sparse and results are heterogeneous. In addition, the evidence about the interaction and joint associations of genetic risk and lifestyle with air pollution on incident MDD risk remains unclear. We aimed to examine the association of various air pollutants with the risk of incident MDD and assessed whether genetic susceptibility and lifestyle influence the associations.

METHODS

This population-based prospective cohort study analyzed data collected between March 2006 and October 2010 from 354,897 participants aged 37 to 73 years from the UK Biobank. Annual average concentrations of PM_2.5, PM₁₀, NO₂, and NO_x were estimated using a Land Use Regression model. A lifestyle score was determined based on a combination of smoking, alcohol drinking, physical activity, television viewing time, sleep duration, and diet. A polygenic risk score (PRS) was defined using 17 MDD-associated genetic loci.

RESULTS

During a median follow-up of 9.7 years (3,427,084 person-years), 14,710 incident MDD events were ascertained. PM_2.5 (HR: 1.16, 95% CI: 1.07-1.26; per 5 μg/m³) and NO_x (HR: 1.02, 95% CI: 1.01-1.05; per 20 μg/m³) were associated with increased risk of MDD. There was a significant interaction between the genetic susceptibility and air pollution for MDD (P-interaction < 0.05). Compared with participants with low genetic risk and low air pollution, those with high genetic risk and high PM_2.5 exposure had the highest risk of incident MDD (PM_2.5: HR: 1.34, 95% CI: 1.23-1.46). We also observed an interaction between PM_2.5 exposure and unhealthy lifestyle (P-interaction < 0.05). Participants with the least healthy lifestyle and high air pollution exposures had the highest MDD risk when compared to those with the most healthy lifestyle and low air pollution (PM_2.5: HR: 2.22, 95% CI: 1.92-2.58; PM₁₀: HR: 2.09, 95% CI: 1.78-2.45; NO₂: HR: 2.11, 95% CI: 1.82-2.46; NO_x: HR: 2.28, 95% CI: 1.97-2.64).

CONCLUSIONS

Long-term exposure to air pollution is associated with MDD risk. Identifying individuals with high genetic risk and developing healthy lifestyle for reducing the harm of air pollution to public mental health.

The association of healthy lifestyle index score and the risk of renal cell cancer in the Netherlands cohort study

BACKGROUND

Diet, alcohol, cigarette smoking, physical inactivity, and body mass index have been studied as risk factors for renal cell cancer (RCC). The joint effects of these lifestyle factors, captured as Healthy Lifestyle Index (HLI), were examined in one previous study. This study aims to investigate the association between HLI score and RCC risk in the prospective Netherlands Cohort Study (NLCS).

METHODS

A case-cohort analysis (3,767 subcohort members, 485 cases) was conducted using NLCS data (n = 120,852). Data on aforementioned risk factors was used to calculate HLI score, ranging 0-20, with higher scores reflecting healthier lifestyles. RCC occurrence was obtained by record linkage to cancer registries. Multivariable-adjusted proportional hazard models were used to calculate Hazard Ratios (HR) and 95% Confidence Intervals (95%CI).

RESULTS

Compared to participants in the unhealthiest HLI category, participants within the healthiest category had a lower RCC risk (HR = 0.79, 95%CI = 0.56-1.10, p for trend 0.045). A standard deviation (± 3-unit) increase in HLI score was not statistically significantly associated with a lower RCC risk (HR = 0.92, 95%CI = 0.83-1.01). This association was stronger after excluding diet or alcohol from the score, although confidence intervals overlap.

CONCLUSIONS

Adherence to a healthy lifestyle was weakly, though not statistically significantly, associated with a lower RCC risk.

Seasonal variation in food security, lifestyle, nutritional status and its associated factors of the urban poor adolescents in Kuala Lumpur, Malaysia: research protocol of a prospective cohort study

BACKGROUND

Climate change, obesity and undernutrition have now become a worldwide syndemic that threatens most people's health and natural systems in the twenty-first century. Adolescent malnutrition appears to be a matter of concern in Malaysia, and this is particularly relevant among the urban poor population. Mounting evidence points to the fact that underlying factors of malnutrition are subject to climate variability and profoundly affect nutritional outcomes. Hence, it is interesting to examine seasonal variation in nutritional status and its associated factors of urban poor adolescents in Malaysia.

METHODS

This is a prospective cohort study following urban poor adolescents aged 10-17 years living in low-cost high-rise flats in Kuala Lumpur, Malaysia, across two monsoon seasons. The baseline assessment will be conducted during the onset of the Northeast Monsoon and followed up during Southwest Monsoon. Climate data will be collected by obtaining the climatological data (rainfall, temperature, and relative humidity) from Malaysia Meteorological Department. Geospatial data for food accessibility and availability, and also built (recreational facilities) environments, will be analyzed using the QGIS 3.4 Madeira software. Information on socio-demographic data, food security, lifestyle (diet and physical activity), and neighbourhood environment (food and built environment) will be collected using a self-administrative questionnaire. Anthropometric measurements, including weight, height, and waist circumference, will be conducted following WHO standardized protocol. WHO Anthro Plus was used to determine the height-for-age (HAZ) and BMI-for-age (BAZ). Anaemic status through biochemical analyses will be taken using HemoCue 201+® haemoglobinometer.

DISCUSSION

The study will provide insights into the seasonal effects in nutritional status and its associated factors of urban poor adolescents. These findings can be useful for relevant stakeholders, including policymakers and the government sector, in seizing context-specific strategies and policy opportunities that are seasonally sensitive, effective, and sustainable in addressing multiple challenges to combat all forms of malnutrition, especially among urban poor communities.

TRIAL REGISTRATION

The protocol for this review has not been registered.

Healthy lifestyle, plasma metabolites, and risk of cardiovascular disease among individuals with diabetes

BACKGROUND AND AIMS

Lifestyle management is a fundamental aspect of diabetes care to prevent cardiovascular disease (CVD); however, the underlying metabolic mechanism is not well established. We aimed to identify metabolites associated with different lifestyle factors, and estimate their mediating roles between lifestyle and CVD risk among people with diabetes.

METHODS

Lifestyle and metabolomic data were available for 5072 participants with diabetes who were free of CVD at baseline in the UK Biobank. The healthy level of 5 lifestyle factors was defined as non-central obesity, non-current smoking, moderate alcohol intake, physically active, and healthy diet. A total of 44 biomarkers across 7 metabolic pathways including lipoprotein particles, fatty acids, amino acids, fluid balance, inflammation, ketone bodies, and glycolysis were quantified by nuclear magnetic resonance (NMR) spectroscopy.

RESULTS

All 44 assayed metabolites were significantly associated with at least one lifestyle factor. Approximately half of metabolites, which were mostly lipoprotein particles and fatty acids, showed a mediating effect between at least one lifestyle factor and CVD risk. NMR metabolites jointly mediated 43.4%, 30.0%, 16.8%, 43.4%, and 65.5% of the association of non-central obesity, non-current smoking, moderate alcohol intake, physically active, and healthy diet with lower CVD risk, respectively. In general, though metabolites that significantly associated with lifestyle were mostly different across the 5 lifestyle factors, the pattern of association was consistent between fatty acids and all 5 lifestyle factors. Further, fatty acids showed significant mediating effects in the association between all 5 lifestyle factors and CVD risk with mediation proportion ranging from 12.2% to 26.8%.

CONCLUSIONS

There were large-scale differences in circulating NMR metabolites between individuals with diabetes who adhered to a healthy lifestyle and those did not. Differences in metabolites, especial fatty acids, could partially explain the association between adherence to multiple healthy lifestyle and lower CVD risk among people with diabetes.

Associations of socioeconomic status with infectious diseases mediated by lifestyle, environmental pollution and chronic comorbidities: a comprehensive evaluation based on UK Biobank

BACKGROUND

Socioeconomic status (SES) inequity was recognized as a driver of some certain infectious diseases. However, few studies evaluated the association between SES and the burden of overall infections, and even fewer identified preventable mediators. This study aimed to assess the association between SES and overall infectious diseases burden, and the potential roles of factors including lifestyle, environmental pollution, chronic disease history.

METHODS

We included 401,009 participants from the UK Biobank (UKB) and defined the infection status for each participant according to their diagnosis records. Latent class analysis (LCA) was used to define SES for each participant. We further defined healthy lifestyle score, environment pollution score (EPS) and four types of chronic comorbidities. We used multivariate logistic regression to test the associations between the four above covariates and infectious diseases. Then, we performed the mediation and interaction analysis to explain the relationships between SES and other variables on infectious diseases. Finally, we employed seven types of sensitivity analyses, including considering the Townsend deprivation index as an area level SES variable, repeating our main analysis for some individual or composite factors and in some subgroups, as well as in an external data from the US National Health and Nutrition Examination Survey, to verify the main results.

RESULTS

In UKB, 60,771 (15.2%) participants were diagnosed with infectious diseases during follow-up. Lower SES [odds ratio (OR) = 1.5570] were associated with higher risk of overall infections. Lifestyle score mediated 2.9% of effects from SES, which ranged from 2.9 to 4.0% in different infection subtypes, while cardiovascular disease (CVD) mediated a proportion of 6.2% with a range from 2.1 to 6.8%. In addition, SES showed significant negative interaction with lifestyle score (OR = 0.8650) and a history of cancer (OR = 0.9096), while a significant synergy interaction was observed between SES and EPS (OR = 1.0024). In subgroup analysis, we found that males and African (AFR) with lower SES showed much higher infection risk. Results from sensitivity and validation analyses showed relative consistent with the main analysis.

CONCLUSIONS

Low SES is shown to be an important risk factor for infectious disease, part of which may be mediated by poor lifestyle and chronic comorbidities. Efforts to enhance health education and improve the quality of living environment may help reduce burden of infectious disease, especially for people with low SES.

Household air pollution, adherence to a healthy lifestyle, and risk of cardiometabolic multimorbidity: Results from the China health and retirement longitudinal study

BACKGROUND

The adverse health effects of household air pollution have been widely explored, but few studies have evaluated the effects of household air pollution on the risk of cardiometabolic multimorbidity (CMM), a pressing public health concern worldwide. Thus, we aimed to investigate whether exposure to household use of polluting fuels is associated with morbid CMM and, if so, whether a healthy lifestyle could mitigate this association.

METHODS

In this prospective, nationwide representative cohort of the China Health and Retirement Longitudinal Study (CHARLS), participants free of CMM (defined as the coexistence of 2 or more of the following: heart disease, stroke, and diabetes or high blood sugar) were included in 2011-2012 and followed for CMM incidence until 2018. Household air pollution was measured as the use of solid fuels for cooking and heating. The healthy lifestyle score was determined by six factors, physical activity, smoking, body mass index, total cholesterol, blood glucose, and blood pressure, and categorized into three groups (unhealthy, 0-1 factors; intermediate, 2-4; and healthy, 5-6). Cox proportional hazards models investigated associations between household air pollution and incident CMM. The potential modifier effect of a healthy lifestyle score was tested through stratified analyses.

RESULTS

Among 7125 eligible participants, 239 incident cases of CMM were identified over a median follow-up of 7.0 years. After adjustment for potential confounders, the use of solid household fuels for heating was associated with more significant hazards of CMM (adjusted hazard ratio [HR] 1.71, 95 % confidence interval [CI] 1.28 to 2.28), while use for cooking (HR, 1.14; 95 % CI, 0.85 to 1.52) was not. Compared with participants in the unhealthy group, those in the healthy and intermediate groups had considerably lower CMM risk, with adjusted HRs (95 % CI) of 0.17 (0.09 to 0.31) and 0.39 (0.29 to 0.53), respectively, regardless of the household air pollution category. Importantly, when participants adhered to a healthy lifestyle, exposure to household air pollution was no longer significantly associated with a higher risk of CMM (adjusted HR 1.77, 95 % CI 0.51 to 6.12; P = 0.369).

CONCLUSIONS

Household usage of polluting fuels was significantly associated with a higher risk of CMM, and adherence to a healthy lifestyle may mitigate this adverse effect. From a broader perspective, our findings underscore the importance of public health policies and interventions targeting multiple exposures (air pollution, physical activity, smoking, etc.) in enhancing the prevention of detrimental cardiometabolic health effect.

Pythagorean Self-Awareness Intervention Promoted Healthy Dietary Patterns, Controlled Body Mass Index, and Reduced Self-Reported Stress Levels of Primary School Children: Α One-Arm Pilot Study

Stress is common in childhood and an important factor that affects behavior later in adulthood. The aim of this study was to assess the effects of the Pythagorean Self-Awareness Intervention (PSAI), a holistic "cognitive reconstruction" technique to assess primary school children's stress levels, adherence to the Mediterranean diet, and body mass index. Secondary outcome measures included relations with peers, sleep, and hair cortisol concentrations. This one-arm pilot study took place in a primary school, from February to June 2019. Participants were 32 pupils attending the second grade of primary school who received the 8-week PSAI to adopt healthy behaviors and lifestyle. Self-report measures were applied for the evaluation of various variables at the beginning and the end of the eight-week intervention. There were statistically significant reductions in stress levels (p = 0.00), nightmares' frequency (p = 0.00), body mass index (p = 0.03), and bully scale (p = 0.00), and improvement in Mediterranean diet quality (p = 0.00). Hair cortisol concentrations increased (p = 0.02). The social scale significantly increased. Bedtime remained the same after the intervention. This pilot trial showed that the PSAI promoted healthy dietary patterns, controlled children's body mass index, and reduced their self-reported stress levels. Further research on the implementation of this holistic program on children is suggested, in well-powered randomized controlled trials.

The Positive Eating Scale: Associations with eating behavior, food choice, and body mass index

To further investigate the effects of positive eating on health, the present study focused on associations of the Positive Eating Scale (PES, the Pleasure when Eating and Satisfaction with Eating subscales) with eating behaviors, food intake, and body mass index (BMI) in a large sample of the general Swiss population. Participants (T1: n = 2795, 46.7 % men; T2: n = 1931, 46.5 % men) with a mean age of 60 (SD = 16) years at T1 (2019) and 62 (SD = 15) years at T2 (2021) completed the Swiss Food Panel 2.0 paper-and-pencil questionnaire which included the PES, eating behaviors, food intake, and BMI. The results showed that both restrained and reward eating in response to positive emotions were mostly negatively correlated with the PES subscales for men and women, whereas intuitive eating, diet-related health consciousness, and perceived health status were positively related to the PES subscales. Women tended to choose healthier foods and recorded higher eating satisfaction. BMI was negatively related to the PES subscale Satisfaction with Eating (β = -0.17) and positively related to the subscale Pleasure when Eating (β = 0.08) despite rather small correlations with healthier food choices and better diet quality. No significant effects of the PES subscales on change in BMI were detected over the two-year period. Since the PES subscales showed diverging associations with other eating behavior constructs, a combination into a total score may not be optimal. Overall, positive eating may be associated with more balanced eating habits and better perceived health status.