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Despite assumptions that people strive for consistency between their beliefs, endorsement of mutually incompatible ones is not rare - a tendency we have previously labelled doublethink, by borrowing from Orwell. In an attempt to understand the nature of doublethink and the underlying mechanism that enables incompatible beliefs to coexist, we conducted two preregistered studies (total N = 691). To do so, in Study 1, we first explored how doublethink relates to (1) thinking styles (rational/intuitive, actively open-minded thinking, and need for cognitive closure), (2) a set of irrational beliefs (magical health, conspiratorial, superstitious, and paranormal beliefs) and (3) its predictiveness for questionable health practices (non-adherence to medical recommendations and use of traditional, complementary and alternative medicine). We then additionally expanded the set of health behaviors in Study 2, and related doublethink to trust in two epistemic authorities - science and the wisdom of the common man. Finally, in both studies, we explored whether those prone to inconsistent beliefs are also more likely to simultaneously rely on conventional and alternative medicine, despite their apparent incompatibility. While doublethink was positively related to need for cognitive closure and different irrational beliefs that easily incorporate contradictions, as well as negatively to actively open-minded thinking, we did not find it to be predictive of the use of non-evidence-based medicine nor of its simultaneous use with official medicine. It seems that this novel construct can be best understood as a feature of the cognitive system that allows incompatible claims to enter it. However, once beliefs are within the system, they are compartmentalized, without any cross-referencing between them. This is further reflected in non-evidence-based beliefs persisting within the belief system, irrespective of their content.

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PURPOSE: To examine the association between adherence to sleep, dietary, screen time, and physical activity (PA) (8-5-2-1-0) guidelines and risk of high body mass index (BMI ≥ 85 percentile) among U.S. adolescents and to assess for racial inequities and age-varying effects in these associations. METHODS: Data from the 2019 Youth Risk Behavior Surveillance System survey were used to conduct multivariable logistic regression models and moderation analysis by race/ethnicity and age using time-varying varying effect models (TVEM) and estimate associations of interest. RESULTS: Of the 13,518 adolescents aged ≥ 14 years, only 0.5% met all guidelines. Adolescents adhering to sleep guidelines had a 21% reduction in their odds of having a high BMI (OR 0.79, 95% CI 0.67-0.93). Those adhering to PA guidelines had a 34% reduction in their odds of having a high BMI (OR 0.66, 95% CI 0.56-0.79), and those adhering to screen time guidelines had a 17% reduction in their odds of having a high BMI (OR 0.83, 95% CI 0.72-0.95). TVEM showed associations between adherence to sleep and screen time guidelines with high BMI fluctuate and are at specific ages. TVEM revealed substantial racial/ethnic differences in the age-varying association between adherence to 8-5-2-1-0 guidelines and high BMI throughout adolescence. CONCLUSIONS: Associations between adherence to sleep and screen time guidelines and high BMI fluctuate with age, highlighting the need for nuanced interventions targeting 24-h movement guidelines (sleep, PA, and screen time) across adolescence, particularly given racial/ethnic disparities.

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BACKGROUND: This study explored the association between working hours and preventive oral health behaviors. METHODS: In total, 48,599 workers (22,992 females) were included from the Korea National Health and Nutrition Examination Survey (2007-2021). Weekly working hours were self-reported. The following three preventive oral health behaviors were set as outcomes: participation in annual dental check-ups; adherence to the recommended toothbrushing frequency (≥twice a day); and use of interdental cleaning devices. We estimated odds ratios (ORs) and 95% confidence intervals (CIs) using logistic regression. RESULTS: In male workers, the adjusted OR (95% CI) of the association between working ≥55 h/week and each outcome was 0.84 (0.77-0.92) for dental check-ups, 0.82 (0.72-0.94) for toothbrushing ≥twice a day, and 0.83 (0.76-0.92) for utilization of interdental cleaning device when compared to 35-40 h/week. In female workers, the adjusted OR (95% CI) of the association between working ≥55 h/week and each outcome was 0.79 (0.70-0.89) for dental check-ups, 0.88 (0.70-1.11) for toothbrushing ≥twice a day, and 0.80 (0.71-0.90) for utilization of interdental cleaning device when compared to 35-40 h/week. Additionally, low socio-economic status, such as low educational attainment, low income level, and blue-collar occupations, were major risk factors associated with non-adherence to preventive oral health behaviors in both male and female workers. CONCLUSIONS: Our study suggests that individuals who work long hours are more likely to exhibit undesirable oral health behaviors.

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The objectives of this prospective study were to explore the health-related lifestyle of police cadets and assess changes in their health behaviors following entry into the police force. To do so, 190 police cadets completed an online questionnaire assessing their physical activity level, sedentary behaviors, diet quality, sleep hygiene, alcohol consumption, cigarette smoking, and stress level. One year following their graduation from the police training program, participants were invited to, once again, complete the questionnaire. Our results suggest that police cadets generally display healthy lifestyles, with very few cadets being physically inactive, smokers, reporting insufficient sleep duration, and displaying obesity. Nevertheless, paired-sample comparisons highlighted significant decreases in physical activity, fruit and vegetable intake, sleep duration, and sleep quality at the follow-up. Likewise, significant increases in fast-food consumption and BMI were observed.

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OBJECTIVES: Health and social factors show large heterogeneity across regional cultural geographies and influence oral health as well. The purpose of this study is to confirm associations between county-level general health, behaviors, social factors, and oral health indicators and to further analyze the patterns of distribution of oral health indicators across dominant regional cultures in the United States (US) as defined by the American Nations model. METHODS: We calculated a Lifestyle Health Index (LHI) from the 2023 PLACES database using county-level, age-adjusted health data and merged it with (a) 2020 Social Vulnerability Index (SVI) database, (b) dominant regional cultures from Nationhood Lab's American Nations model, (c) dentist visits and teeth lost data from the 2023 PLACES database, and (d) access to dentistry data from the County Health Rankings database. RESULTS: Correlation coefficients between the LHI (and sub scores), SVI (and sub scores), and dental variables showed strong associations. ANOVA post-hoc test results revealed significant differences for dental visits and teeth lost for LHI, SVI and access to dentists. Prevalence of dental visits and teeth lost showed clear heterogeneity across regional cultures. CONCLUSIONS: Oral health is strongly linked to lifestyle health factors, social vulnerability, access to dentistry, and cultural norms and belief systems. Within the US, significant heterogeneity exists in the distribution of oral health indicators across dominant regional cultural geographies. Oral health communications and policy solutions focused on health-related behaviors (e.g., tobacco, diet), disease-specific considerations (e.g., diabetes), and the social environment (e.g., poverty, housing) should be tailored to regional cultures rather than a single US-based culture to improve dental care and oral health outcomes.

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OBJECTIVE: Previous studies have shown that background sociodemographic factors are associated with health checkup participation. However, little is known about the psychological determinants of health checkup participation in longitudinal studies. This study explored the psychological determinants of health checkup participation based on a longitudinal study in South Korea. METHODS: Data were retrieved from a nationwide, longitudinal panel study in South Korea, which included community-dwelling general adults, conducted from 2005 to 2022. Established scales for assessing life satisfaction and self-esteem were employed, and life satisfaction and self-esteem levels were categorized into four groups based on quartile values (lowest, low, high, and highest). Respondents reported whether they had undergone a health checkup in the past year. Fixed effects logistic regressions were fitted to determine within-individual associations between life satisfaction, self-esteem, and health checkup participation (n = 15,771; 171,943 observations). Odds ratios (OR) and 95 % confidence interval (CI) were determined. RESULTS: Compared with the lowest life satisfaction, the highest life satisfaction is associated with increased odds of health checkup participation (OR: 1.17, 95 % CI: 1.13-1.23). Compared to the lowest self-esteem level, the highest self-esteem level was positively associated with health checkup participation (OR, 1.14; 95 % CI: 1.10-1.18). The odds of participating in health checkups were also positively associated with age, income, and educational level. CONCLUSION: Although the effect sizes were modest, high life satisfaction and self-esteem were associated with an increased likelihood of participating in health checkups.

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BACKGROUND: Previous studies have found that exposure to childhood environmental stress is associated with cardiometabolic risk. However, it is not known whether individual health behaviors disrupt this relationship. This study prospectively evaluated the relationship between cumulative environmental stress in a low-income sample and cardiometabolic risk in middle childhood and examined whether child health behaviors attenuated this relationship. METHODS AND RESULTS: In a cohort of children (n=338; 57% Hispanic children; 25% Black children), environmental stressors (family and neighborhood factors representing disadvantage/deprivation) and child health behaviors (accelerometry measured physical activity; parent-reported screen time and diet recalls) were measured over 5 time points beginning when children were aged 2 to 4 years and ending when they were aged 7 to 11 years. Children's cardiometabolic risk factors (body mass index, blood pressure, triglyceride/high-density lipoprotein ratio, glucose, hemoglobin A1c, C-reactive protein) were measured at 7 to 11 years. Emerging cardiometabolic risk was defined as having ≥1 elevations that exceeded clinical thresholds. In adjusted path analyses, greater cumulative environmental stress was associated with higher likelihood of emerging cardiometabolic risk in middle childhood (P<0.001). Higher levels of moderate to vigorous physical activity and fewer sedentary minutes attenuated the positive relationship between stress and cardiometabolic risk (P<0.05). Children with >2 hours of average daily screen time had a higher likelihood of elevated cardiometabolic risk (P<0.01), but screen time did not moderate the stress-cardiometabolic risk relationship. Dietary intake was not related to cardiometabolic risk. CONCLUSIONS: Interventions that promote moderate to vigorous physical activity and limit sedentary behavior may have particular importance for the cardiometabolic health of children exposed to high levels of cumulative environmental stress.

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BACKGROUND: The relationships between alcohol marketing exposure, alcohol use, and purchase have been widely studied. However, prospective studies examining the causal relationships in real-world settings using mobile health tools are limited. OBJECTIVE: We used ecological momentary assessment (EMA) to examine both the within-person- and between-person-level effects of alcohol marketing exposure on any alcohol use, amount of alcohol use, any alcohol purchase, and frequency of alcohol purchase among university students. METHODS: From January to June 2020, we conducted a prospective cohort study via EMA among university students in Hong Kong who reported current drinking. Over 14 consecutive days, each participant completed 5 fixed-interval, signal-contingent EMAs daily via a smartphone app. Each EMA asked about the number and types of alcohol marketing exposures, the amount and types of alcohol used, and whether any alcohol was purchased, all within the past 3 hours. We used 2-part models, including multilevel logistic regressions and multilevel gamma regressions, to examine if the number of alcohol marketing exposure was associated with subsequent alcohol use and alcohol purchase. RESULTS: A total of 49 students participated, with 33% (16/49) being male. The mean age was 22.6 (SD 2.6) years. They completed 2360 EMAs (completion rate: 2360/3430, 68.8%). Participants reported exposure to alcohol marketing in 5.9% (140/2360), alcohol use in 6.1% (145/2360), and alcohol purchase in 2.4% (56/2360) of all the EMAs. At the between-person level, exposure to more alcohol marketing predicted a higher likelihood of alcohol use (adjusted odd ratio [AOR]=3.51, 95% CI 1.29-9.54) and a higher likelihood of alcohol purchase (AOR=4.59, 95% CI 1.46-14.49) the following day. Exposure to more alcohol marketing did not increase the amount of alcohol use or frequency of alcohol purchases the following day in participants who used or purchased alcohol. At the within-person level, exposure to more alcohol marketing was not associated with a higher likelihood of alcohol use, amount of alcohol use, higher likelihood of alcohol purchase, or frequency of alcohol purchases the following day (all Ps>.05). Each additional exposure to alcohol marketing within 1 week predicted an increase of 0.85 alcoholic drinks consumed in the following week (adjusted B=0.85, 95% CI 0.09-1.61). On days of reporting alcohol use, the 3 measures for alcohol marketing receptivity were not associated with more alcohol use or purchase (all Ps>.05). CONCLUSIONS: By using EMA, we provided the first evidence for the effect of alcohol marketing exposure on initiating alcohol use and purchase in current-drinking university students. Our findings provide evidence of the regulation of alcohol marketing for the reduction of alcohol use and purchase among young adults.

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PURPOSE: The carcinogenic effects of alcoholic beverages and the negative impact of alcohol consumption on cancer progression and treatment outcomes are well established in oncology research. Many cancer patients experience significant psychological distress, often manifesting as elevated levels of depression and anxiety. In the general population, alcohol consumption is commonly used as a coping mechanism for such distress. For cancer patients facing substantial psychological challenges, psycho-oncology care is available to help manage their symptoms and the overall impact of their condition. However, there is limited understanding of the alcohol consumption patterns in this particularly vulnerable group of patients, as well as the disease-related factors that may influence their drinking behavior. This study aims to examine the prevalence of potentially risky alcohol consumption in cancer patients receiving psycho-oncology care and to identify sociodemographic, health-related, and psychosocial factors associated with alcohol consumption after cancer diagnosis. By understanding drinking patterns and the factors associated with them, we aim to promote healthier behaviors and enhance treatment outcomes for cancer patients receiving psycho-oncology care. METHODS: A consecutive sample of 1.225 patients from the psycho-oncology outpatient clinic of the University Medical Center Hamburg Eppendorf (UKE) was analyzed with regard to their alcohol consumption behavior using the Alcohol Use Disorders Identification Test-Consumption Items (AUDIT-C). Self-report questionnaires were employed to assess sociodemographic, health-related, and cancer-specific information. For statistical analysis, multiple linear regression was utilized. RESULTS: In the sample of cancer patients receiving psycho-oncology support one in six of both female and male patients showed risky alcohol drinking behavior (e.g. AUDIT-C above three for women and four for men). In the analysis (R-Square: 0.056) male gender (regression coefficient B 0.686, 95% CI: 0.453-0.919) and patients reporting a higher physical health-related quality of life (SF8-PCS) (B 0.021, 95% CI: 0.011-0.032) were associated with higher levels of alcohol consumption, whereas having children (B -0.481, 95%CI: -0.700- -0.262) was associated with lower alcohol consumption. With regard to cancer type, a single-factor analysis of variance with gender as the centered covariate showed that patients with gastrointestinal cancer had had lower average consumption levels compared to the groups of patients with breast cancer, melanoma, genitourinary cancer, and lymphoma. Also, patients with sarcoma had lower average consumption levels than patients with lymphoma. CONCLUSIONS: The results allow to identify patient characteristics and cancer types associated with higher or lower alcohol consumption levels and higher likelihood of risky consumption behavior in this sample of cancer patients receiving psycho-oncological support. IMPLICATIONS FOR CANCER SURVIVORS: Cancer patients are particularly susceptible to the hazardous effects of alcohol consumption. The results of this study help to identify cancer patients at risk of worsening prognosis due to alcohol consumption and to develop intervention programs to minimize alcohol consumption in this group.

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OBJECTIVES: This qualitative study aimed to characterize how social networks influence cardiovascular health behaviors among U.S. South Asian adults in a culturally adapted, group lifestyle intervention. METHODS: A purposive sample of participants (n = 24) from the South Asian Healthy Lifestyle Intervention (SAHELI) randomized trial's intervention arm participated in semi-structured process evaluation interviews. Specific open-ended questions were used to probe participants' behavior changes, personal social networks, and social support for behavior change. The team transcribed interviews and identified themes using inductive and deductive coding, based on a theoretical model of social influence. RESULTS: Among 24 participants (67 % female, mean age 50.5 years, 88 % foreign-born, 50 % with limited English proficiency), three themes emerged: 1) SAHELI participants and their family members provided bidirectional social support for behavior change; 2) intervention participants provided social support to one another; and 3) participants faced resistance to change from some community members. CONCLUSIONS: Behavior changes initiated during SAHELI diffused to participants' close family members. Several social network influences varied by participant gender, English language proficiency, and network member type. PRACTICE IMPLICATIONS: Health professionals should ask patients about how their social networks facilitate or hinder behavior changes. Gender and cultural factors may modify how social networks influence behavior change.

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BACKGROUND: Healthy behaviors are paramount in preventing long-term adverse health outcomes in childhood, adolescent, and young adult (CAYA) cancer survivors. We systematically reviewed and synthesized existing literature on barriers, facilitators, and other factors associated with health behaviors in this population. METHODS: MEDLINE and PsycInfo were searched for qualitative and quantitative studies including survivors aged 16-50 years at study, a cancer diagnosis ≤25 years and ≥2 years post diagnosis. Health behaviors included physical activity, smoking, diet, alcohol consumption, sun exposure, and a combination of these behaviors (defined as health behaviors in general). RESULTS: Barriers, facilitators, and other factors reported in ≥2 two studies were considered relevant. Out of 4529 studies, 27 were included (n = 31,905 participants). Physical activity was the most frequently examined behavior (n = 12 studies), followed by smoking (n = 7), diet (n = 7), alcohol (n = 4), sun exposure (n = 4), and health behavior in general (n = 4). Relevant barriers to physical activity were fatigue, lack of motivation, time constraints, and current smoking. Relevant facilitators were perceived health benefits and motivation. Influence of the social environment and poor mental health were associated with more smoking, while increased energy was associated with less smoking. No relevant barriers and facilitators were identified for diet, alcohol consumption, and sun exposure. Barriers to healthy behavior in general were unmet information needs and time constraints whereas lifestyle advice, information, and discussions with a healthcare professional facilitated healthy behavior in general. Concerning other factors, women were more likely to be physically inactive, but less likely to drink alcohol and more likely to comply with sun protection recommendations than men. Higher education was associated with more physical activity, and lower education with more smoking. CONCLUSION: This knowledge can be used as a starting point to develop health behavior interventions, inform lifestyle coaches, and increase awareness among healthcare providers regarding which survivors are most at risk of unhealthy behaviors.

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BACKGROUND: Solitary drinking is a risky drinking pattern associated with increased substance use and psychosocial problems. However, very little is known regarding the associations between drinking alone and broader health status and behaviors. PURPOSE: Accordingly, this study examined the relationship between health metrics and solitary drinking among individuals who currently drink (N = 99, 46.46% female, 88.89% White). METHODS: U.S. participants between 21 and 40 years old were recruited. Measures included self-reported diet, physical activity, sleep, cannabis use, general and solitary alcohol use, and objective anthropomorphic measures (e.g., body mass index [BMI]) using data from both a baseline appointment and 30 days of daily diary responses. Adjusting for general alcohol use, age, and gender, associations at baseline were assessed through regression analyses, while daily data were analyzed via mixed effects models. RESULTS: Several health measures were associated with solitary drinking. Specifically, solitary drinking was related to consuming fewer servings of fruits and vegetables and greater quantities of alcohol based on daily data. Baseline data showed an association between solitary drinking and higher BMIs, poorer sleep quality, greater sugar consumption, and hazardous drinking. CONCLUSIONS: These findings suggest that beyond substance and psychosocial problems associated with solitary drinking, this drinking behavior may be a warning sign for health risks and, subsequently, broader health problems.

Associations between health metrics and lifetime solitary drinking were examined among individuals who currently drink alcohol (N = 99, 46.46% female, 88.89% White). Solitary drinking was related to less fruit and vegetable consumption, greater sugar consumption, more hazardous drinking, poorer sleep quality, and higher body mass index. Findings suggest that solitary drinking may be a warning sign for health risks and, subsequently, broader health problems.

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Since 2016, China has progressively relaxed family planning policies to stimulate birth rates. This paper examines the behavioral health repercussions of China's 2016 universal two-child policy (UTCP) by analyzing sleep pattern data from China Family Panel Studies. Napping is a composite indicator that denotes health outcomes, job quality, and personal well-being. It reveals work conditions and environments to some extent. UTCP may lead to heightened social expectations regarding pregnancy likelihood, and changes in social expectations within the workplace may make work environments less equitable and more stressful for females. Leveraging a difference-in-difference model, this paper explores how napping behaviors among the working-age cohort have responded to the policy shifts. Our analysis reveals a gender discrepancy in response to the policy, specifically, females exhibit a discernible reduction in the likelihood of napping, as well as in the duration of both daytime naps and daily sleep. Conversely, such effects are not significant among males. These results suggest policy consequences extend beyond individuals directly impacted by childbirth or contemplating parenthood. Hence, while promoting fertility is still the government's goal, policymakers are encouraged to consider the broader challenges the female population faces from social and workplace environment factors.

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BACKGROUND: Periodontitis is associated with poor pregnancy outcomes, indicating periodontal health as an important health concern for pregnant women. Herein, this study identified risk indicators for periodontitis and developed a nomogram for predicting the risk of periodontitis in pregnancy by analyzing periodontitis and associated factors in pregnant women. MATERIALS AND METHODS: A community-based cross-sectional study was conducted by including 438 pregnant women at 10-36 gestational weeks from Langfang, China. Pregnant women were examined for periodontal status, and their demographic, socioeconomic, and oral health behavior data were collected. Potential influencing factors of periodontitis were analyzed with univariate and multivariate logistic regression analyses. A nomogram was developed, followed by the assessment of its validation and discriminatory abilities. RESULTS: The prevalence of periodontitis was 59.8% in pregnant women. Periodontitis-associated variables in pregnant women were gestational age, non-first pregnancy, daily tooth brushing frequency of ≤ 1 before pregnancy, and annual frequency of periodontal treatment < 1 (including no periodontal treatment). The risk of periodontitis was positively associated with gestational age (OR = 1.28, 95% CI = 1.17-1.39, p < 0.001). Pregnancy history showed a strong positive association (OR = 6.57, 95% CI = 1.22-35.43, p = 0.03). Daily tooth brushing frequency before pregnancy was also positively associated with periodontitis (OR = 1.54, 95% CI = 1.03-2.79, p = 0.05). Additionally, the annual frequency of periodontal treatment exhibited a positive association, with higher odds observed for those with less frequent treatment (OR = 2.28, 95% CI = 1.25-4.14, p = 0.05; OR = 7.37, 95% CI = 3.04-22.06, p < 0.001). These four factors were used to develop a nomogram for predicting periodontitis in pregnant women. The area under the receiver operating characteristic curve of the nomogram was 0.855 and 0.831 in the training and testing cohorts, respectively, reflecting the superior prediction accuracy of the nomogram. The calibration curve and decision curve analysis demonstrated the good performance and net benefit of the nomogram. CONCLUSION: Risk factors for periodontitis in pregnant Chinese women include gestational age, non-first pregnancy, lower frequency of daily tooth brushing before pregnancy, and lower frequency of periodontal treatment. An easy-to-use nomogram with acceptable accuracy can allow for the prediction of periodontitis risk in pregnant Chinese women. CLINICAL RELEVANCE: With the assistance of this nomogram, clinicians can evaluate the risk of periodontitis in pregnancy, thereby offering more tailored oral health education to women of reproductive age.

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OBJECTIVE: To examine cardiovascular risk factors in 40-year-old participants in the health screening program targeted health dialogues (THDs). DESIGN: Cross-sectional study. SETTING: 99 Swedish healthcare centers. INTERVENTION: Metabolic risk factors and health behaviors were assessed. THDs were provided. SUBJECTS: 1831 (62.3%) THD participants that consented to take part in the research project. MAIN OUTCOME MEASURES: (1) Prevalence of metabolic risk factors (blood pressure, LDL cholesterol, fasting plasma glucose, BMI, waist-hip ratio) and unhealthy behaviors (tobacco, alcohol, diet, physical activity) by sex, education, and place of birth. (2) Associations between different health behaviors and between the number of unhealthy behaviors and prevalence of metabolic risk factors. (3) THD participation by sociodemographics compared to age-matched controls. RESULTS: Men had a higher prevalence of all metabolic risk factors, excessive alcohol use and tobacco use than women. Lower educated individuals had a higher prevalence of metabolic risk factors (except for LDL cholesterol) and tobacco use than highly educated. Participants born outside Sweden had a higher prevalence of obesity, high waist-hip ratio, and tobacco use. Participants with 3-4 unhealthy behaviors had significantly higher prevalence of each of the metabolic risk factors except BMI. Women, highly educated and Swedish-born participants were slightly over-represented in the THDs. CONCLUSION: Considering the associations between unhealthy behaviors and metabolic risk factors, the THD method, covering lifestyle as well as objective health measures, may be an appropriate method for early identification of individuals at risk for future non-communicable diseases in the whole population with a specific focus on certain groups. CLINICALTRIALS.GOV: NCT04912739.

The study presents health determinants in 40-year-old targeted health dialogue (THD) participants in a Swedish metropolitan, multi-ethnic region.Only half of the men had normal blood pressure and less than 40% had a BMI < 25 kg/m².Having 3­4 unhealthy behaviors was associated with significantly higher prevalence of all metabolic risk factors (except BMI) compared to zero unhealthy behaviors.The predominance of female, highly educated and Swedish-born participants in THDs calls for a targeted outreach to certain population groups.

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Well-being is a continuous process requiring decisions and actions to maintain or build health. This study examines the indirect effect of health locus of control on life satisfaction via healthy behaviors based on living systems theory. Participants were 730 students of various majors related to medicine and health, aged between 19 and 30 (M = 22.29, SD = 1.64), including 79.04% women. Self-report measures were used to assess life satisfaction, multidimensional health locus of control, and health behavior. Women scored higher than men on the total health behavior scale, especially in a healthy diet and preventive behavior. Men scored higher than women on internal health locus of control (HLC), while women scored higher than men on the powerful others HLC in making decisions about their health. The study confirmed the mediating effect of healthy behavior on the relationship between the internal HLC and life satisfaction. The present mechanism highlights the crucial role of internal motivation in increasing subjective well-being by maintaining health behaviors among young adults. The role of intervention programs focused on improving internal HLC and health behaviors is discussed.

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BACKGROUND:  The increasing popularity of fitness influencers on social media has the potential to significantly impact public health by promoting healthy behaviors. Understanding how these influencers affect the adoption of healthy habits among Saudi residents can provide insights into effective public health strategies. OBJECTIVE:  This study aims to quantitatively assess the influence of following fitness influencers on social media on adopting healthy behaviors among Saudi residents, focusing on socio-demographic factors, characteristics of influencers, and participants' perceptions. METHODS:  A descriptive, cross-sectional study with an analytical component was carried out from March 25, 2023, to August 15, 2023. The study included Saudi residents aged 18 and older who actively follow fitness influencers. Data was gathered through an online questionnaire and analyzed using descriptive statistics, Pearson's chi-square test, and logistic regression analyses to identify factors associated with positive health outcomes. RESULTS:  The study included 561 participants, revealing that marital status and residential region significantly influenced the adoption of healthy habits, with married participants and those from the Southern and Central regions more likely to report positive outcomes. Notably, engagement in physical activity more than three times a week and adherence to a healthy diet were strongly associated with positive health outcomes (p<0.05). Analysis of influencer characteristics showed that following fewer than 10 influencers and being unaware of their follower count were predictors of positive results with p<0.05. Specifically, 76.6% of participants experienced positive results after following health advice from social media, highlighting the impactful yet complex role of influencers in shaping health behaviors. Logistic regression analyses underscored the significance of socio-demographic factors, influencer characteristics, and participant perceptions in predicting the likelihood of experiencing positive health outcomes. CONCLUSION:  Following fitness influencers on social media can positively impact the adoption of healthy habits, moderated by socio-demographic factors and influencer characteristics.

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This analytic essay intends to elevate Medicine Wheel, or generally "four directions" teachings, to encourage a more comprehensive alignment of lifestyle intervention components with traditional ecological knowledge systems of Indigenous cultures in North America. North American Medicine Wheels provided people with a way to orient themselves both within their traditional belief systems and to the seasonal changes in their areas, improving survivability. The wheel or circle is a sacred symbol, indicating the continuity and perpetuity of all of life. The four directions are iconized in many Indigenous cultures across North America with different directions representing different aspects of our world and of ourselves, different seasons of the year and of our lives, different beings of the earth and tribes of humans with a balance among those necessary for health and wellbeing. In the context of public health, teachings of the four directions warn that a lack of balance limits our ability to achieve optimal health. While there is much public health success in lifestyle interventions, existing practice is limited by a siloed and one size fits all approach. Medicine Wheel teachings lay out a path toward more holistic and Indigenous-based lifestyle intervention that is modifiable depending on tribal teachings and needs, may appeal to a variety of Indigenous communities and is in alignment with health behavior change theory. It is a public health imperative that lifestyle management interventions are fully optimized to rigorously determine what can be achieved when interventions are implemented in a holistic and Indigenous-based manner, and in alignment with an Indigenous model of health. This more complete alignment would allow for a stronger foundation to further explore and develop social determinants (i.e., housing, employment, etc.) and structural intervention enhancements to inform public health practice and promote health equity.

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BACKGROUND: The COVID-19 pandemic impacted how people accessed health services and likely how they managed chronic conditions such as type 2 diabetes (T2D). Social media forums present a source of qualitative data to understand how adaptation might have occurred from the perspective of the patient. OBJECTIVE: Our objective is to understand how the care-seeking behaviors and attitudes of people living with T2D were impacted during the early part of the pandemic by conducting a scoping literature review. A secondary objective is to compare the findings of the scoping review to those presented on a popular social media platform Reddit. METHODS: A scoping review was conducted in 2021. Inclusion criteria were population with T2D, studies are patient-centered, and study objectives are centered around health behaviors, disease management, or mental health outcomes during the COVID-19 pandemic. Exclusion criteria were populations with other noncommunicable diseases, examining COVID-19 as a comorbidity to T2D, clinical treatments for COVID-19 among people living with T2D, genetic expressions of COVID-19 among people living with T2D, gray literature, or studies not published in English. Bias was mitigated by reviewing uncertainties with other authors. Data extracted from the studies were classified into thematic categories. These categories reflect the findings of this study as per our objective. Data from the Reddit forums related to T2D from March 2020 to early March 2021 were downloaded, and support vector machines were used to classify if a post was published in the context of the pandemic. Latent Dirichlet allocation topic modeling was performed to gather topics of discussion specific to the COVID-19 pandemic. RESULTS: A total of 26 studies conducted between February and September 2020, consisting of 13,673 participants, were included in this scoping literature review. The studies were qualitative and relied mostly on qualitative data from surveys or questionnaires. Themes found from the literature review were "poorer glycemic control," "increased consumption of unhealthy foods," "decreased physical activity," "inability to access medical appointments," and "increased stress and anxiety." Findings from latent Dirichlet allocation topic modeling of Reddit forums were "Coping With Poor Mental Health," "Accessing Doctor & Medications and Controlling Blood Glucose," "Changing Food Habits During Pandemic," "Impact of Stress on Blood Glucose Levels," "Changing Status of Employment & Insurance," and "Risk of COVID Complications." CONCLUSIONS: Topics of discussion gauged from the Reddit forums provide a holistic perspective of the impact of the pandemic on people living with T2D, which were found to be comparable to the findings of the literature review. The study was limited by only having 1 reviewer for the literature review, but biases were mitigated by consulting authors when there were uncertainties. Qualitative analysis of Reddit forms can supplement traditional qualitative studies of the behaviors of people living with T2D.

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Background: Mobile health (mHealth) apps are becoming a promising tool to motivate sustainable lifestyle and behavior changes, including modifications to diet and exercise. However, most current mHealth apps do not have meaningful, and sustained user acceptance, particularly, among adolescents. They perceive mHealth apps designed for adults to be tedious and visually unexciting, which discourage adolescent usage. Researchers and adolescent mHealth app developers would benefit from a foundational understanding of which functions and features adolescents feel would most motivate app use. Capturing caregivers' and health care providers' inputs are also important as both groups play an integral role in adolescent health care decision-making. The purpose of the study is to explore and analyze mHealth app features identified by adolescents, caregivers, and health care providers that have the potential to inspire continued use, thereby resulting in sustained health behavior changes in adolescents. Methods: We used inductive thematic analysis of qualitative data obtained from semi-structured focus groups conducted via Zoom©. Important features of mHealth apps that encourage adoption and continued use were explored with 25 participants, including adolescents, their caregivers, and health care providers. Results: Common features facilitating continual usage of mHealth apps that were identified as significant by participating adolescents, their caregivers and health care providers were: look and feel of the app, customization, educational information/recommendations, and integration with electronic health record. Features such as gamification and social interaction that are usually lacking in current adolescent mHealth apps were well recognized as meaningful for motivational purposes. Conclusions: The findings suggest that adolescents and caregivers identify an app as valuable when it is user-friendly and intuitive and appreciate features that are motivating and can engage users in positive behaviors. Health care providers prefer mHealth apps that are user-friendly and can be effectively integrated into the cycle of care, thereby enabling delivery of efficient and value-based health care. Thus, mHealth app designs that are informed by health care providers' clinical experience and needs, in combination with app features that are desired and supported by both adolescents and their caregivers, have the potential to motivate widespread adoption and long-term use, which could result in improved health behaviors and outcomes among adolescents.