The association of cancer-preventive lifestyle with colonoscopy screening use in border Hispanic adults along the Texas-Mexico border.

PURPOSE: The relationship between engaging in two domains of cancer-preventive behaviors, lifestyle behaviors and colonoscopy screening, is unknown in Hispanic adults. Accordingly, the study examined the association between lifestyle and colonoscopy screening in Hispanic adults along the Texas-Mexico border, where there is suboptimal colorectal cancer prevention. METHODS: Lifestyle behavior adherence and compliance with colonoscopy screening schedules were assessed using 2013-2023 data from the Cameron County Hispanic Cohorta population-based sample of Hispanic adults living along the Texas-Mexico border. The 2018 World Cancer Research Fund scoring system characterized healthy lifestyle engagement. Multivariable logistic regression quantified the association between lifestyle behaviors and colonoscopy screening. RESULTS: Among 914 Hispanic adults, there was a mean adherence score of 2.5 out of 7 for recommended behaviors. Only 33.0% (95% CI 25.64-41.39%) were up-to-date with colonoscopy. Complete adherence to fruit and vegetable (AOR [adjusted odds ratio] 5.2, 95% CI 1.68-16.30; p = 0.004), fiber (AOR 2.2, 95% CI 1.06-4.37; p = 0.04), and ultra-processed foods (AOR 2.8, 95% CI 1.30-6.21; p = 0.01) consumption recommendations were associated with up-to-date colonoscopy screening. Having insurance versus being uninsured (AOR 10.8, 95% CI 3.83-30.62; p < 0.001) and having local medical care versus in Mexico (AOR 7.0, 95% CI 2.26-21.43; p < 0.001) were associated with up-to-date colonoscopy. CONCLUSIONS: Adherence to dietary lifestyle recommendations was associated with being up-to-date with colonoscopy screenings. Those with poor dietary behavior are at risk for low-colonoscopy use. Improving lifestyle behaviors may complement colonoscopy promotion interventions. Healthcare accessibility influences up-to-date colonoscopy prevalence. Our findings can inform cancer prevention strategies for the Hispanic population.

Reallocating Time to Physical Activity and Sleep: Associations with Body Mass Index in Cancer Survivors.

BACKGROUND: Body mass index (BMI) above ≥ 25 kg/m2 is associated with increased risk for cancer-related morbidity and mortality. Achieving recommended amounts of physical activity (PA), sedentary time (ST), and sleep can help cancer survivors (CS) attain a healthy BMI. This cross-sectional study examined the potential role of reallocating time between moderate and light PA, ST, and sleep on BMI in CS. METHOD: A sample of CS (N = 73, Mage = 53.7 ± 12.9) wore an activPAL and Actiwatch accelerometer for 7 days, 24 h per day to measure PA intensity and sleep, respectively. Self-reported height and weight or scale/stadiometer were used to calculate BMI. Isotemporal substitution models were used to reallocate time, averaged over the 7-day period, from one activity of interest to another and examine the associations with BMI. Statistical significance was set at p < .05. RESULTS: The following reallocations of 30 min were significantly associated with BMI: sleep to ST (+ 0.80 kg/m2, p = 0.02) and ST to light PA (- 0.53 kg/m2, p = 0.008). No significant associations with BMI were observed for reallocating time to or away from moderate-vigorous PA. CONCLUSION: The results of this study suggest that sleep and light PA may have important implications for achieving a healthy BMI in CS. Therefore, future research should include interventions which target light PA and sleep to determine if they can improve BMI in CS.

Changes in lifestyle and physical and mental health related to long-confinement due COVID-19: a study during the first and second pandemic waves in Mexico and Chile.

We investigate changes in lifestyle, physical, and mental health during the confinement period of the first and second waves of COVID-19, as well as their relation to sociodemographic parameters and confinement status. Sociodemographic data and information regarding changes in their lifestyle behavior and changes in body weight and physical activity (PA) were collected. The SF-36 questionnaire was implemented for measuring the domains related to physical health (PH) and mental health (MH). The growth frequency of weight gain in the Mexican (4.8%) and Chilean (10.9%) populations was observed during the second wave. The MH component decreased in the Mexican and the Chilean population (p < 0.05). Moreover, the MH decreased significantly according to the degree of confinement (p < 0.01). Although some sociodemographic factors were related to the presence of a very low score (<50 scores) for the MH component during the first wave, it is perceived as a higher relative risk during the second wave in both populations. The long confinement due to COVID-19 is associated to negative changes in nutritional and physical lifestyle behavior, affecting mainly the MH component.

Quantifying the benefits of healthy lifestyle behaviors and emotional expressivity in lowering the risk of COVID-19 infection: a national survey of Chinese population.

BACKGROUND: COVID-19 is still prevalent in most countries around the world at the low level. Residents' lifestyle behaviors and emotions are critical to prevent COVID-19 and keep healthy, but there is lacking of confirmative evidence on how residents' lifestyle behaviors and emotional expressivity affected COVID-19 infection. METHODS: Baseline study was conducted in August 2022 and follow-up study was conducted in February 2023. Baseline survey collected information on residents' basic information, as well as their lifestyle behaviors and emotions. Follow-up study was carried out to gather data on COVID-19 infection condition. Binary logistic regression was utilized to identify factors that may influence COVID-19 infection. Attributable risk (AR) was computed to determine the proportion of unhealthy lifestyle behaviors and emotional factors that could be attributed to COVID-19 infection. Sensitivity analysis was performed to test the robustness of the results. RESULTS: A total of 5776 participants (46.57% males) were included in this study, yielding an overall COVID-19 infection rate of 54.8% (95%CI: 53.5 - 56.0%). The findings revealed that higher stress levels [aOR = 1.027 (95%CI; 1.005-1.050)] and lower frequency in wearing masks, washing hands, and keeping distance [aOR = 1.615 (95%CI; 1.087-2.401)], were positively associated with an increased likelihood of COVID-19 infection (all P < 0.05). If these associations were causal, 8.1% of COVID-19 infection would have been prevented if all participants had normal stress levels [Attributable Risk Percentage: 8.1% (95%CI: 5.9-10.3%)]. A significant interaction effect between stress and the frequency in wearing masks, washing hands, and keeping distance on COVID-19 infection was observed (ß = 0.006, P < 0.001), which also was independent factor of COVID-19 infection. CONCLUSIONS: The overall COVID-19 infection rate among residents is at a medium level. Residents' increasing stress and decreasing frequency in wearing masks and washing hands and keeping distance contribute to increasing risk of infection, residents should increase the frequency of mask-wearing, practice hand hygiene, keep safe distance from others, ensure stable emotional state, minimize psychological stress, providing evidence support for future responses to emerging infectious diseases.

Association of a Lifestyle Intervention with Blood Pressure Trajectories During Pregnancy and Postpartum in Women with Pre-pregnancy Overweight and Obesity.

OBJECTIVES: Healthy lifestyle, including healthy diet and physical activity, has been associated with lower blood pressure (BP). We hypothesized that overweight/obese women randomized to a lifestyle intervention beginning in early pregnancy would be less likely to have a higher BP trajectory. METHODS: The Health in Pregnancy and Postpartum study promoted a healthy lifestyle in pregnant and postpartum women with pre-pregnancy overweight or obesity. BP was measured at study visits at ≤ 16 and 32 weeks of pregnancy and 6 and 12 months postpartum. Latent class trajectories were constructed to identify groups of participants with similar BP patterns throughout the study period. Odds of being assigned to the higher BP trajectories between the intervention and control group were determined with logistic regression, adjusted for age, race, pre-pregnancy BMI, gestational weight gain, smoking during the study period, and household income. RESULTS: Of the 219 participants enrolled (44.3% Black participants, 55.7% White participants, mean age = 29.7 ± 0.3 years), 112 (51.1%) were randomized to the intervention. Two systolic and diastolic BP trajectory groups were identified (Low-Stable, Moderate-Increasing). Randomization to the lifestyle intervention was not associated with odds of Moderate-Increasing systolic (OR 0.83, 95%CI 0.4, 1.6) or diastolic (OR 0.67, 95%CI 0.3, 1.3) BP trajectory assignment. Those in the Moderate-Increasing BP groups had higher BMI and were more likely to have an adverse pregnancy outcome. CONCLUSIONS: A lifestyle intervention initiated in early pregnancy to help prevent excessive gestational weight gain was not associated with odds of specific BP patterns through pregnancy and postpartum.

Associations of polysocial risk score, lifestyle and genetic factors with incident psoriasis: a larger-scale prospective cohort study.

OBJECTIVES: The impact of polysocial risk score (PsRS), a composite measure of multiple social risk factors, on the development of psoriasis remains unclear. Moreover, the potential modifying effects of lifestyle and genetic susceptibility on the relationship between PsRS and psoriasis risk require further exploration. STUDY DESIGN: This was a prospective cohort study conducted among UK Biobank. METHODS: In this study, we analyzed 331,631 participants enrolled in the UK Biobank cohort. To derive the PsRS, we utilized a summative strategy, amalgamating six social determinants of health derived from three domains: socio-economic status, psychosocial factors, and neighborhood and living environment consistently linked to incident psoriasis. Cox proportional hazard models were used to assess the associations between PsRS and psoriasis incidence. Furthermore, we constructed a lifestyle score and a genetic risk score to explore the potential modifying effects of these factors on the relationship between PsRS and psoriasis risk. RESULTS: Compared with individuals with a low PsRS (≤1), those with intermediate PsRS (2-4) and high PsRS (≥5) had 1.20 (95% confidence interval [CI], 1.06-1.36) and 1.53 (95% CI, 1.31-1.78) times higher risks of developing psoriasis, respectively. Our findings revealed an additive interaction between PsRS and genetic susceptibility. Moreover, it was found that individuals with high PsRS and unhealthier lifestyles had a 2.60 times higher risk of developing psoriasis than those with lower PsRS and healthier ones. CONCLUSIONS: Our study results imply that an elevated PsRS is linked to a heightened risk of psoriasis, which is further influenced by genetic factors. Our results also indicate that greater social vulnerability and unhealthier lifestyle may synergistically contribute to the additional risk of psoriasis.

The effect of a physical activity intervention on burden and healthy lifestyle behavior in family caregivers of patients with schizophrenia: A randomized controlled trial.

AIM: The aim of this study is to investigate the efficacy of a physical activity intervention on burden and healthy lifestyle behavior in family caregivers of schizophrenia. METHOD: A randomized, controlled trial was conducted to evaluate the effect of physical activity program on burden and healthy lifestyle behavior in family caregivers of patients with schizophrenia. The "Physical Activity Program" consisted of 5 min of warm-up activities as the initial segment, 20 min of rhythmic exercises as the activity segment, 5 min of cool down exercises as the final segment and 30 min of free walking. The program consisted of 8 sessions. The Zarit Caregiver Burden Scale and the Healthy Lifestyle Behavior Scale were applied to the physical activity and control groups ahead of the program's implementation. A total of 60 caregivers were randomly distributed to the intervention (n = 30) and control groups (n = 30). Post-intervention measurement was completed by 60 caregivers and all the caregivers completed the intervention. RESULTS: Significant differences were found on the Zarit Caregiver Burden Scale score and Healthy Lifestyle Behavior score between the groups. CONCLUSION: Future research should examine with larger sample groups, carry out interventions, and apply the physical activity intervention by targeting caregivers, along with different interventions.

Sedentary Behavior Reduction: A Stepwise Approach to Increasing Physical Activity and Reducing Cardiovascular Disease Risk in Endometrial Cancer Survivors.

Endometrial cancer survivors experience high rates of cardiovascular disease (e.g., heart disease, obesity, diabetes). The heightened cardiovascular disease risk may be attributed to cancer treatment coupled with sub-optimal lifestyle behaviors following treatment, including high amounts of sedentary behavior (SB). Public health agencies have graded the association of evidence between SB and cardiovascular disease as strong. However, while clinicians may wish to prescribe SB substitution strategies to reduce SB, guidelines do not currently exist. An additional challenge to behavior change pertains to the unique barriers that endometrial cancer survivors face, including treatment-associated fatigue and limited self-efficacy. Engaging in healthy movement behaviors, including minimizing SB and achieving recommended amounts of physical activity, are critical for health and well-being as well as cardiometabolic disease prevention. The purpose of this perspective paper is to propose an informed approach to physical activity promotion aimed to initiate movement and promote long-term behavior change by starting with an emphasis on reducing SB in endometrial cancer survivors. First, we address why endometrial cancer survivors should be targeted with SB reduction. Then, we suggest a stepwise approach to increasing physical activity by starting with SB reduction, including consideration to behavioral theories. Finally, we provide suggestions for future directions.

Association of Changes of lifestyle behaviors before and during the COVID-19 pandemic with mental health: a longitudinal study in children and adolescents.

BACKGROUND: We examined the prospective associations of changes in lifestyle behaviors before/during the COVID-19 pandemic, namely physical activity and screen time, with mental health. Furthermore, the impacts of physical activity and screen time on mental health during the pandemic were examined cross-sectionally. METHODS: A two-wave longitudinal study was conducted among 2423 children and adolescents in Shanghai, China. Lifestyle behavior variables (physical activity and screen time) and psychological variables (depressive symptoms, anxiety, and stress) were measured using a self-reported questionnaire in January and March 2020. A series of multivariable logistic regressions were performed to examine the associations between changes in lifestyle behaviors in two waves and psychological problems. The combined associations of physical activity and screen time with psychological problems were also explored using the second wave data. RESULTS: Compared to students with persistently short screen time before and during the COVID-19 pandemic, those with prolonged screen time (OR = 1·36 for depression, OR = 1·48 for anxiety) and those with persistently long screen time (OR = 1·70 for depression, OR = 2·13 for anxiety) reported a higher risk of psychological symptoms. The association between changes in physical activity and psychological symptoms was not statistically significant after adjustment for demographic factors, socioeconomic status, and screen time. During the COVID-19 pandemic, engaging in longer screen time (OR = 1·44 for depression, OR = 1·55 for anxiety) was associated with worsened psychological conditions, while engaging in increased physical activity (OR = 0·58 for depression, OR = 0·66 for anxiety) was associated with better psychological conditions. CONCLUSIONS: Our study suggests that promoting physical activity and limiting leisure screen time during the COVID-19 pandemic are important to prevent and mitigate psychological problems in children and adolescents. Therefore, effective interventions targeting lifestyle behaviors are needed to protect children and adolescents' physical and mental health.

Associations of preschoolers' dietary patterns with eating behaviors and parental feeding practices at a 12-month follow-up of obesity treatment.

Although dietary patterns are key to the management of childhood obesity, they are rarely assessed and thus poorly understood. This study examines preschoolers' dietary patterns and correlates 12 months after the start of obesity treatment (n = 99, mean age 5.2 years, 52% girls). A food frequency questionnaire (FFQ), the Child Eating Behavior Questionnaire (CEBQ), Child Feeding Questionnaire (CFQ) and Lifestyle Behavior Checklist (LBC) were answered by parents to assess children's food intake, eating behaviors, parental feeding practices, and obesity-related behaviors, respectively. Principal component analysis identified dietary patterns based on FFQ data. Through multiple linear regressions we examined correlations between a healthy (HD) and a less healthy (LHD) dietary pattern and mean scores of the CEBQ, CFQ, LBC scales as well as BMI z-scores. The reported intake of items in the LHD decreased after treatment while no differences were found for the HD. Children's eating behaviors, in particular food fussiness, showed consistent associations with diet (b = -0.39, 95% CI -0.63, -0.14 for HD and b = 0.41, 95% CI 0.15, 0.66 for LHD). Feeding practices and obesity-related behaviours were weakly associated with the dietary patterns (HD and Monitoring: b = 0.36, 95% CI 0.09, 0.62; LHD and Screen time b = 0.08, 95% CI 0.01, 0.15). Among the measured variables, eating behaviors had the largest impact on children's dietary patterns. The LHD was associated with a higher BMI z-score but no associations were found between changes in LHD intake and changes in BMI z-scores. Our findings suggest that decreasing food fussiness in children with obesity is key to positive dietary changes. Assessment of children's eating behaviors can help tailor dietary advice and provide support for families of children with obesity.

Determinants of longevity and age at death in a practically extinct cohort of middle-aged men followed-up for 61 years.

OBJECTIVES: To explore possible determinants of longevity as a function of many personal characteristics in a cohort of middle-aged men followed-up until practical extinction. MATERIALS AND METHODS: In the Italian Rural Area of the Seven Countries Study, 1712 men aged 40-59 were examined in 1960 and 35 personal characteristics were measured. The subsequent follow-up for life status was of 61 years when only 3 men survived. A Kaplan-Meier curve was computed. A Cox model was solved with all-cause mortality as end-point and 35 potential determinants as covariates. A Multiple Linear Regression (MLR) model was also solved with the same covariates and age at death (AD) as end-point. RESULTS: After 61 years, 99.8% of men had died and median age at death was 75. Beneficial risk factors for both models (p < 0.05) were: never smoker, vigorous physical activity, prudent and Mediterranean diets, arm circumference, subscapular skinfold, and vital capacity. Adverse risk factors (p < 0.05) were: mother early death, laterality/linearity index, systolic blood pressure, serum cholesterol, corneal arcus, xanthelasma, cardiovascular diseases, cancer, diabetes, and chronic bronchitis. Some arbitrary combinations of selected risk factors were used to estimate AD as a function of coefficients of the MLR, showing large differences up to 10 years or more. CONCLUSIONS: Several personal characteristics of anthropometric, behavioral, biophysical, biochemical, and clinical nature are strongly associated with longevity when measured in middle-aged men and then followed up until extinction.

The cross-sectional study of depressive symptoms and associated factors among adolescents by backpropagation neural network.

OBJECTIVES: This study aimed to investigate the association between depressive symptoms and diet- and lifestyle-related behaviors among adolescents. STUDY DESIGN: Cross-sectional study. METHODS: Our study used stratified random cluster sampling method to recruit 6,251 adolescents aged 11-19 years as samples for research and analysis. The Center for Epidemiological Studies Depression Scale was used to assess depressive symptoms. Chi-squared test, t test, and logistic regression were used to explore the diet and lifestyle factors of depressive symptoms. Backpropagation (BP) neural network model was used to investigate the ranking of diet and lifestyle behaviors factors of depressive symptoms. RESULTS: The prevalence of depressive symptoms among adolescents was 32.1%. Multivariable logistic regression was used to determine 10 important variables of depressive symptoms. After ranking the importance by BP neural network, the top three important variables were found, which were sleep duration (100%), screen time (49.1%), and breakfast (23.6%). CONCLUSION: Sleep duration, screen time, and breakfast were associated factors with the most significant impacts on depressive symptoms.

COVID-19: Ramifications and Effects on University Healthcare Students.

AIM: This study was carefully designed to analyze the perceived psychological impact of the COVID-19 pandemic among Roseman dental students. Students assessed their perceived changes in stress, self-esteem, and lifestyle behavior changes based on the impact of the pandemic. MATERIALS AND METHODS: A self-designed, anonymous, 18-item questionnaire was administered to Roseman dental students after being approved by the Institutional Review Board. Independent samples t-test and one-way ANOVA were utilized for comparison of psychological factors toward gender, as well as year of study. Chi-square correlations between stress and self-esteem, as well as lifestyle behavior, were also reported. RESULTS: In total, 313 students with a mean age of 28.15 (SD:4.21) completed the survey. Statistically significant differences were shown between students based upon age and year of study, with regard to stress and lifestyle behavior changes. Cross-tabulations of stress with self-esteem and lifestyle behavior changes showed positive relationships, as students with higher levels of stress showed significant self-esteem problems and lifestyle behavior changes. The largest frequency of stress/anxiety and lifestyle behavioral changes was found in the age range of 25-34 years old, particularly in the Class of 2024 and 2025. CONCLUSION: The COVID-19 pandemic has imposed a significant psychological impact on dental students at Roseman. However, further studies are needed to assess the long-lasting impacts of the pandemic on University healthcare students as a whole. CLINICAL SIGNIFICANCE: The pandemic has not only affected the way in which dental students progress academically but also as healthcare providers now and into the future.

A cross-sectional analysis of associations between lifestyle advice and behavior changes in patients with hypertension or diabetes: NHANES 2015-2018.

Clinicians supporting patients in lifestyle behavior change is an important strategy to help reduce chronic disease burden. Using National Health and Nutrition Examination Survey (NHANES) data from 2015 to 2018, this study assessed rates of and associations between patient-reported receipt of lifestyle behavior change advice and corresponding self-reported behavior change for four different lifestyle behaviors: 1) weight loss, 2) increase physical activity, 3) reduce sodium, and 4) reduce fat and calories. Adult survey respondents with hypertension and/or diabetes (n = 4716) who received lifestyle advice ranged from 43% to 58%, with the most common recommendation being to increase physical activity. Between 61% and 73% of respondents reported currently modifying health behaviors, with the greatest number reporting weight loss. Multiple logistic regression models were used to test associations for each lifestyle behavior advice-behavior change pair, adjusting for demographic characteristics. Compared to those who received no advice, respondents who received advice had significantly higher odds of reporting losing weight (aOR: 1.93; 95% CI: 1.51, 2.48); increasing physical activity (aOR 2.02; 95% CI: 1.73, 2.37); reducing dietary sodium (aOR 4.95; 95% CI: 3.93, 6.25); and reducing intake of fat/cal (aOR 3.57; 95% CI: 2.86, 4.45). This study utilized population level data to lend further evidence that provider advice about lifestyle behaviors for patients who have hypertension or diabetes may influence patient behavior. However, prevalence of advice is low, and differences in rates of behavior change exist across socioeconomic status and race/ethnicity, indicating a need to further research how providers might better support patients with varying social needs.

The impact of the Covid-19 crisis on socioeconomic differences in physical activity behavior: Evidence from the Lifelines COVID-19 cohort study.

Covid-19 and measures to contain spreading the disease have led to changed physical activity behavior. This study aims to investigate the relationship between socioeconomic status (SES) and changes in the amount of moderate to vigorous physical activity (MVPA) during the Covid-19 crisis. Using the Dutch Lifelines Covid-19 cohort study (n = 17,749), the amount of MVPA was measured at 15 time-points between March and December 2020, and compared with the amount before the Covid19 pandemic. For SES, the population was stratified in three education and income levels. Logistic regression models were used to estimate the odds ratio (OR) and confidence interval (CI) of altered MVPA for low and high SES groups, with the middle SES category as the reference group. A clear socioeconomic gradient in changes in MVPA behavior was observed. Low educated individuals had significantly higher odds (OR = 1.14; CI: 1.03-1.27) of decreasing MVPA, while the high educated had significantly lower odds of decreased MVPA (OR = 0.84, CI: 0.79-0.90). Both low education (OR = 0.87; CI: 0.77-0.98) and low income (OR = 0.85; CI 0.78-0.92) had significantly lower odds to increase MVPA, while high education (OR = 1.21, CI: 1.12-1.30) and high income (OR = 1.17; CI: 1.07-1.28) had significantly higher odds to increase MVPA. Most findings were consistent over the full research period. Socioeconomic inequalities in MVPA have increased during the Covid-19 pandemic, even when Covid-19 containment measures were relaxed. Our findings suggest that future public health policies need to increase efforts to improve physical activity behavior with an even larger focus on low SES groups.

Gender differences in the associations among fish intake, lifestyle, and non-HDL-C level in Japanese subjects over the age of 50 years: Anti-atherosclerotic effect of fish consumption.

BACKGROUND AND AIMS: Higher fish consumption may lead to the suppression of atherogenesis. The present study was aimed at investigating the gender differences in association with the frequency of fish intake, lifestyle behaviors and serum non-high-density lipoprotein cholesterol (non-HDL-C) levels. METHODS AND RESULTS: This cross-sectional study was conducted in a cohort of 4320 (2479 males, 1570 females) healthy Japanese subjects over 50 years of age registered at the Health Planning Center of Nihon University Hospital between April 2018 and March 2019. The average weekly frequency of fish intake was 2.58 ± 1.39 days in males and 2.42 ± 1.36 days in females. In males, the serum non-HDL-C level decreased significantly as the weekly frequency of fish intake (0-1 days, 2-3 days, 4-5 days, or 6-7 days) increased (p < 0.0001). Multiple stepwise regression analysis identified the weekly frequency of fish intake (ß = -0.056, p = 0.004) and habitual aerobic exercise (ß = -0.063, p = 0.001) as independent determinants of the serum non-HDL-C level. On the other hand, no such associations were observed in females. However, the proportion of subjects engaging in habitual aerobic exercise increased as the frequency of fish intake increased even among females. CONCLUSIONS: A higher frequency of fish intake may be associated with healthier lifestyle behaviors and lower non-HDL-C levels in males, but not in females. There appear to be gender differences in the relationships between the intake of fish and lifestyle behaviors on lipid metabolism. CLINICAL TRIAL REGISTRATION: umin (http://www.umin.ac.jp/) Study ID: UMIN000035899.

Clustering of multiple lifestyle behaviors among migrant, left-behind and local adolescents in China: a cross-sectional study.

BACKGROUND: Influence of migration on externalized behavioral problems (e.g., aggressive) among adolescents has been well assessed, yet lifestyle behaviors of migrant, left-behind and local adolescents have been largely overlooked by researchers and policy-makers. Therefore, this study aimed to identify clustering of multiple lifestyle behaviors and their associations with migrant status among Chinese adolescents. METHODS: A cross-sectional survey was conducted in 2015 in Beijing, and Wuhu city (Anhui province). Adolescents self-reported age, gender, family economic status, migrant situation, and lifestyle behaviors (i.e., physical activity, screen time, sleep, smoke, soft-drink, alcohol, fruit and vegetable consumption) via a battery of validated questionnaires. Latent class analysis was conducted to identify behavioral clusters using Mplus 7.1. ANOVA, and multivariable logistic regression were used to examine associations between migrant situations and behavioral clusters using SPSS 22. RESULTS: Three distinct behavioral clusters were exhibited among 1364 students (mean age: 13.41 ± 0.84 years): "low risk" (N = 847), "moderate risk" (N = 412) and "high risk" (N = 105). The "high-risk" cluster had the highest prevalence of adolescents not meeting healthy behavioral recommendations. There were no significant differences in the prevalence of high-risk lifestyle among migrant, left-behind, rural local and urban local adolescents. But migrant adolescents had the lowest prevalence of low-risk lifestyle, followed by left-behind, rural and urban local adolescents. Moreover, compared with urban local, migrant (OR = 2.72, 95%CI: 1.88,3.94), left-behind (OR = 2.28, 95%CI: 1.46, 3.55), and rural local (OR = 1.76, 95%CI:1.03,3.01) adolescents had a higher risk of moderate-risk lifestyle. CONCLUSIONS: Clustering of assessed lifestyle behaviors differed by the migrant status. Particularly, migrant and left-behind adolescents were more likely to have moderate-risk lifestyle compared with their counterparts. Interventions that promote moderate to vigorous physical activity and consumption of fruits and vegetables simultaneously are needed among them.

Spinal pain in pre-adolescence and the relation with screen time and physical activity behavior.

BACKGROUND: To investigate how screen time and physical activity behavior were associated with spinal pain in pre-adolescence. METHODS: This study included 45,555 pre-adolescents who participated in the 11-year follow-up of the Danish National Birth Cohort. The 11-year follow-up included self-reported information on computer and TV behavior, aspects of physical activity, as well as frequency and intensity of spinal pain (neck-, mid back- and low back pain). Data were linked with parental socioeconomic data from Statistics Denmark registers. Associations were estimated using multinomial logistic regression models. To account for sample selection, we applied inverse probability weighting. RESULTS: Duration of screen time was stepwise associated with the degree of spinal pain. Compared with those spending < 2 h/day in front of a screen, screen time of ≥6 h/day was associated with a substantially increased relative risk ratio (RRR) of severe pain for both girls (RRR: 2.49, 95% CI: 2.13-2.92) and boys (RRR: 1.95, 95% CI: 1.65-2.32). Being physical inactive was likewise associated with higher likelihood of severe spinal pain (RRR: 1.22, 95% CI: 1.10-1.34) relative to those being moderately active. We observed that being physically active was seemingly associated with lower risk of spinal pain among boys with high frequency of screen time. CONCLUSION: Findings indicate that both duration of screen time and physical inactivity are correlated with spinal pain in pre-adolescents with the strongest associations for screen time. Reducing screen time or increasing physical activity might help preventing spinal pain in pre-adolescents, particularly among high frequent screen users. Future prospective studies investigating the causal relationship are necessary.

Modifiable mediators associated with the relationship between adiposity and leukocyte telomere length in US adults: The National Health and Nutrition Examination Survey.

Obesity is associated with age-related health conditions and telomere attrition - a marker of cellular aging. Obesity is attributable to adverse modifiable lifestyle factors. Little is known about the mediation effect of lifestyle factors associated with the relationship between obesity and telomere length. Our objective was to examine this association in the US. Pack years smoked, drinking level per day, physical activity (PA) per week and diet based on Healthy Eating Index (HEI) were assessed as mediators associated with the relationship between adiposity measures and leukocyte telomere length (LTL); adiposity measures included body mass index (BMI), % total body fat (TBF) and waist circumference (WC). Separate adjusted linear regressions and mediation analysis were conducted on a total of 4919 respondents aged 20-84 years using cross-sectional 1999-2002 data from the US National Health and Nutrition Examination Survey. Inadequate PA correlated with 1.28% shorter LTL and was a factor accounting for 35% of the relationship between BMI and LTL (ß = -0.0128, 95% CI = 0.0259, 0.0004, p = .05). Smoking 30-≥59 pack years correlated with 4% shorter LTL and accounted for 21% of the relationship between %TBF and LTL (ß = -0.0386, 95% CI = -0.0742, -0.0030, p = .03). Improvement in diet correlated with 0.11% longer LTL and contributed 25% of the association between %TBF and LTL (ß = 0.0011, 95%CI =0.0004, 0.0018, p = .01). Diet correlated with 0.11% longer LTL and correspond to 28% of the relationship between WC and LTL (ß = 0.0011, 95%CI = 0.0004, 0.0018, p = .03). Interventions to improve modifiable behaviors may ameliorate cellular aging and aging related health conditions due to obesity among US adults.

Utility of a Specific Health Checkup Database Containing Lifestyle Behaviors and Lifestyle Diseases for Employee Health Insurance in Japan.

BACKGROUND: The Japanese Ministry of Health, Labour and Welfare introduced Specific Health Checkups (SHC) to identify individuals at risk of metabolic syndrome (MS). This study aimed to describe the SHC database developed by the Japan Medical Data Center Co., Ltd. (JMDC) as a means of exploring lifestyle behaviors and lifestyle diseases among working generations. METHODS: We conducted a retrospective, cross-sectional study of employees and their families using the JMDC-SHC database to describe the prevalence of lifestyle behaviors (smoking, exercise, dietary habits, drinking habits, and sleeping) and lifestyle diseases (MS, hypertension, dyslipidemia, and diabetes mellitus). Results were compared with data from the 2015 National Health and Nutrition Survey (NHNS) in Japan as a benchmark. RESULTS: All 646,869 enrollees in the JMDC-SHC database were included, of whom 66.5% were men. Age ranged from 40-74 years. Compared with the results of the NHNS, the JMDC-SHC subjects were younger and had fewer MS components and a lower prevalence of diabetes and hypertension. Subjects in their 40s were most likely to have unhealthy lifestyle behaviors in all age groups (eg, smoking: 41.0% in men and 10.2% in women). The SHC group had more favorable behaviors overall, but underweight was more prevalent in the SHC females. CONCLUSIONS: The JMDC-SHC population showed different lifestyle and lifestyle disease profiles to the NHNS population, probably due to its different age, gender, and employment distributions. Development of healthcare policies and plans for working generations would benefit from the selection of an age- and employment-appropriate database.