The comorbidity of psychiatric and metabolic conditions is prevalent and poses a heavy burden on public health. Several biopsychosocial factors are known to influence both metabolic and psychiatric health, including inflammation, eating behavior, physical activity, and early life stress. Few studies, however, have examined the constellation of interrelationships among multiple risk domains simultaneously.

Using a sample of 200 medically healthy adults enrolled in a parent study, we used Gaussian Graphical Modeling, a type of network analysis, to characterize interdependent cross-sectional associations between early life stress (childhood trauma), health behaviors (diet quality and physical activity), blood-based biomarkers of metabolic functioning (insulin resistance, HDL cholesterol, triglycerides) and inflammation (C-reactive protein [CRP]), and three domains of mental health symptoms (depressive, anxious, and post-traumatic stress symptoms). We hypothesized that the network structure would highlight a pattern whereby higher CRP, poorer diet quality, lower physical activity, and higher childhood trauma would associate with increased risk for both metabolic and psychiatric impairments.

Findings revealed a positive conditional association between CRP and childhood trauma, which may function as an intermediary process to increase risk for both metabolic impairments and psychiatric symptoms in adulthood. Further, higher physical activity was associated with lower insulin resistance and fewer depressive symptoms, and better diet quality was associated with lower CRP levels.

Results highlight potential avenues for interventions aimed at reducing inflammation, improving health behavior, and addressing the effects of childhood trauma to improve physical and mental health comorbidities.

Although behavioral mechanisms in the association among depression, anxiety, and cancer are plausible, few studies have empirically studied mediation by health behaviors. We aimed to examine the mediating role of several health behaviors in the associations among depression, anxiety, and the incidence of various cancer types (overall, breast, prostate, lung, colorectal, smoking-related, and alcohol-related cancers).

Two-stage individual participant data meta-analyses were performed based on 18 cohorts within the Psychosocial Factors and Cancer Incidence consortium that had a measure of depression or anxiety (N = 319 613, cancer incidence = 25 803). Health behaviors included smoking, physical inactivity, alcohol use, body mass index (BMI), sedentary behavior, and sleep duration and quality. In stage one, path-specific regression estimates were obtained in each cohort. In stage two, cohort-specific estimates were pooled using random-effects multivariate meta-analysis, and natural indirect effects (i.e. mediating effects) were calculated as hazard ratios (HRs).

Smoking (HRs range 1.04–1.10) and physical inactivity (HRs range 1.01–1.02) significantly mediated the associations among depression, anxiety, and lung cancer. Smoking was also a mediator for smoking-related cancers (HRs range 1.03–1.06). There was mediation by health behaviors, especially smoking, physical inactivity, alcohol use, and a higher BMI, in the associations among depression, anxiety, and overall cancer or other types of cancer, but effects were small (HRs generally below 1.01).

Smoking constitutes a mediating pathway linking depression and anxiety to lung cancer and smoking-related cancers. Our findings underline the importance of smoking cessation interventions for persons with depression or anxiety.

The aim of this study was to observe the level of alcohol-based sanitizer, mask use, and physical distancing across indoor community settings in Guelph, ON, Canada, and to identify potential barriers to practicing these behaviors.

Shoppers were observed in June 2022 across 21 establishments. Discrete in-person observations were conducted and electronically recorded using smartphones. Multilevel logistic regression models were fitted to identify possible covariates for the 3 behavioral outcomes.

Of 946 observed shoppers, 69% shopped alone, 72% had at least 1 hand occupied, 26% touched their face, 29% physically distanced ≥ 2 m, 6% used hand sanitizer, and 29% wore masks. Sanitizer use was more commonly observed among people who wore masks and in establishments with coronavirus disease (COVID-19) signage posted at the entrance. Mask use was more commonly observed during days without precipitation and in establishments with some or all touch-free entrances. Shoppers more commonly physically distanced ≥ 2 m when they were shopping alone.

This supports evidence for environmental context influencing COVID-19 preventive behaviors. Intervention efforts aimed at visible signage, tailored messaging, and redesigning spaces to facilitate preventive behaviors may be effective at increasing adherence during outbreaks.

Modern social discourse emphasizes an importance of health either as a limiting resource that needs to be “saved” and “restored”, or as a vulnerability that should be protected, or as a “natural gift” that needs support and recovery by natural methods including alternative medicine. Advertisement adds to the social discourse a meaning of health as a sign of success. Research demonstrated that beliefs in any of these meanings is associated with higher adherence to medical recommendations but also higher catastrophizing of bodily sensations, somatosensory amplification and belief in bodily weakness (Rasskazova et al., 2017).

To reveal relationships of beliefs and thoughts in “hypochondriac discourse” with subjective importance of health self-care and health-oriented behavior.

340 participants 17-77 years old filled “Hypochondriac” Discourse Questionnaire (Rasskazova et al., 2016) that includes four scales measuring beliefs and four scales measuring frequency of thoughts about each health meaning, and Health Self-Care Scale (Rasskazova et al., 2021) that differentiates subjective importance of different ways of self-care and activities (Cronbach’s alphas .66-.80).

All beliefs in “hypochondriac discourse” except importance of alternative medicine are related to medical health monitoring and active styles of life (r=.23-.43) but unrelated to reported activities. Frequency of thoughts about “hypochondriac discourse” are related to adherence to health behavior (r=.31-.49).

Frequent thoughts about “hypochondriac discourse” could be protective factor helping to support active life styles but also could lead to over-protection in healthy people. Research is supported by the Russian Foundation for Basic Research, project No. 22-28-01643

Research is supported by the Russian Foundation for Basic Research, project No. 22-28-01643

This study was to investigate the relationships among health behaviors and quality of life (QOL) and to test a proposed model among people with hypertension and concomitant chronic kidney disease (CKD) in primary care. In addition, the mediation effect of modifiable risk factors between self-care health behaviors and QOL was examined.

This study was prospective, conducted in the centers of primary medical care in the period from January 2018 to January 2020. In total, 170 patients diagnosed with hypertension and CKD at least 12 months previously were included in this study. The following parameters were measured: self-efficacy, self-care health behaviors with the subscales of health responsibility, exercise, consumption of a healthy diet, stress management, and smoking cessation; modifiable risk score; and QOL (assessed using the 36-item Short-Form Health Survey instrument).

Self-efficacy had a significantly positive direct effect on self-care health behaviors, with a standardized regression coefficient of 0.87 (P = 0.007), a negative indirect effect on risk factors, with a standardized regression coefficient of 0.11 (P = 0.006), and a positive indirect effect on QOL, with a standardized regression coefficient of 0.62 (P = 0.008). Self-care health behaviors had a significantly positive direct effect on QOL, with a standardized regression coefficient of 0.72 (P = 0.012); there was also an indirect effect of 0.053 (P = 0.004). The direct effect of risk factors on QOL was significant, with a standardized regression coefficient of 0.44 (P = 0.018). The direct effect of self-care health behaviors on QOL was 0.77 (P = 0.008), which has been reduced to 0.72 (P = 0.012). The reduced effect of 0.05 was significant (P = 0.004), confirming the mediating role of modified risk factors.

This study indicates health-promoting behaviors in hypertensive patients with CKD have a potential impact on their QOL in primary care. Primary care physicians should focus on motivation strategies to encourage individuals to perform self-care health-promoting behaviors associated with the improved QOL, in order to achieve better outcomes in risk factor management.

To examine differences in health characteristics and health behaviors between rural and non-rural stroke survivors in the USA.

Data were extracted from the 2017 and 2019 Behavioral Risk Factor Surveillance System (BRFSS) to compare prevalences of health characteristics (i.e., diabetes, disability, poor health, high cholesterol, hypertension, no health care coverage, weight status) and health behaviors (i.e., fruit consumption, vegetable consumption, physical inactivity, high alcohol consumption, smoking) among community-dwelling stroke survivors, stratified by rural status (i.e., rural vs. non-rural). Logistic regression was used to calculate odds ratios (ORs) for health characteristics and health behaviors to examine the association of rural status with each variable of interest (reference group=non-rural).

Data from 14,599 respondents (rural: n = 5,039; non-rural: n = 9,560) were available for analysis. The majority of respondents were female (61.4%), non-Hispanic white (83.2%), previously married (56.1%), had at least some college education (55.2%), and had an annual household income ≥USD $25,000 (56.9%). Prevalences of disability, poor health, weekly aerobic exercise, and smoking were higher among rural respondents compared to non-rural respondents. Logistic regression showed increased odds (odds ratio range: 1.1–1.2) for these variables among rural respondents; however, odds ratios were attenuated after controlling for sociodemographic and health characteristics.

We did not find evidence of differences in the investigated health characteristics and health behaviors between rural and non-rural community-dwelling stroke survivors in the USA. Additional research is needed to confirm these findings and to identify alternative sociodemographic and health factors that may differ between rural and non-rural community-dwelling stroke survivors.

Attachment styles play important role in managing health behavior. It has been observed in researches that attachment style have relationship with health behavior (Schlack, 2003). If attachment styles are left the way they form habitually it can be harmful, in a study with diabetic patients, people with avoidant attachment style were expected to die within 5 years of disease diagnosis (Ciechanowski et al., 2010).

To assess effect of adult attachment styles on health behavior?

Sample comprised of 300 university students from different private and government universities of Karachi with age range 18 – 35 years. Assessment tools used are relationship questionnaire and wellness behavior inventory scale. Relationship questionnaire is used to identify the dimension of attachment style (Bartholomew & Horowitz, 1991). Wellness behavior inventory was used to identify consistency of healthy behavior activities done on regularly basis (Sirois, 2001). Statistical tests used for descriptive analysis were frequency and percentage and for inferential statistics regression analysis test was used.

According to the attachment styles A, B, C and D most of the study participants fell in healthy weight range, a few were in obese range which is considered unhealthy. Result of regression analysis estimated there is no effect of attachment style on health behavior as p-value was greater than 0.05.

Attachment style is not a good predictor of health behavior solely. As per a few researches in order to study impact of attachment styles other mediating variables that can have effect on health behavior should also be observed such as self-esteem.

The one-year prevalence of diagnosed nonspecific back pain in Sweden is not known. Thus, this observational register-based study aimed to evaluate this prevalence by using data from the Region Västra Götaland, inhabiting 1.7 million people.

Data from 2014 to 2018 were extracted from the VEGA database register. This register holds all health data from the publicly funded health care establishments in Region Västra Götaland. Aggregated data are presented as the one-year prevalence of unique individuals diagnosed with nonspecific back pain (i.e., the ICD-10 code M54). Stratification by health care level, gender, age, and M54 sub-diagnoses were made.

Between 2014 and 2018, the annual prevalence of diagnosed nonspecific back pain in public primary health care increased from 4.8% to 6.0% (26% increase, P < 0.001, CI 25–27%). In 2018, the one-year prevalence was 7.2% among women and 4.8% among men (50% difference, P = 0.001, CI 49–52%). The one-year prevalence increased by age, and the highest figure (11%) was seen in the age group of 80–84. Low back pain, M54.5, was the most common sub-diagnosis. The one-year prevalence was significantly higher (P < 0.001) among women in all the M54 sub-diagnoses.

The one-year prevalence of diagnosed nonspecific back pain was 6% in public primary health care in 2018 and has increased since 2014. Women were diagnosed considerably more frequently than men. Publicly funded rehabilitation efforts, as well as actions focusing on the prevention of back pain, is probably money well spent.

The aim of this study is to present the engagement of adult Poles in physical activity (PA) before and during the coronavirus pandemic, taking into consideration: frequency, duration, and types of the activity, depending on the gender and age of the participants.

The study was conducted using an online survey questionnaire. A total of 688 residents of Poland aged 18 to 58 (28.61 ± 9.5) y participated in the study.

A statistically significant decrease in the frequency of PA was noted in the group of men (P = 0.0001) and in the age group of 39 to 58 y old. The analysis of the duration of a single PA before and during the pandemic has shown a statistically significant reduction in the workout time among both men and women and across all age groups (P = 0.05). There was a statistically significant increase in the frequency of women undertaking flexibility exercises, eg, yoga (P = 0.000), as well as a decrease in marching and walks (P = 0.003). Men significantly less frequently did strength exercises (P = 0.002).

During the pandemic, there was a statistically significant decrease in the frequency and duration of PA. The preferences of the participants as to the type of PA undertaken changed as well.

The aim of this study was to examine the extent to which an exposure to disaster is associated with change in health behaviors.

Federal disaster declarations were matched at the county-level to self-reported behaviors for participants in the Health and Retirement Study (HRS), 2000-2014. Multivariable logistic regression was used to evaluate the relationship between disaster and change in physical activity, body mass index (BMI), and cigarette smoking.

The sample included 20,671 individuals and 59,450 interviews; 1,451 unique disasters were declared in counties in which HRS respondents lived during the study period. Exposure to disaster was significantly associated with weight gain (unadjusted RRR=1.19; 95% CI, 1.11-1.27; adjusted RRR=1.21; 95% CI, 1.13-1.30). Vigorous physical activity was significantly lower among those who had experienced a disaster compared to those who had not (unadjusted OR=0.89; 95% CI, 0.84-0.95; adjusted OR=0.84; 95% CI, 0.79-0.89). No significant difference in cigarette smoking was found.

This study found an increase in weight gain and decrease in physical activity among older adults after disaster exposure. Adverse health behaviors such as these can contribute to functional decline among older adults.

BellSA, ChoiH, LangaKM, IwashynaTJ. Health Risk Behaviors after Disaster Exposure Among Older Adults. Prehosp Disaster Med. 2019;34(1):95–97.

Despite efforts by civil defense authorities, levels of households’ preparedness to emergencies remain insufficient in many countries. Engaging the public in preparedness behavior is a challenge worldwide. The purpose of this study was to explore the efficacy of psychological intervention in promoting preparedness behavior to armed conflicts in Israel.

A randomized controlled trial (N = 381) with two control groups and three intervention groups was used. The psychological interventions studied were elevated threat perception, external reward, and manipulation of a cognitive cluster related to preparedness.

The results of the analysis suggest a significant effect of intervention on the increase of reported preparedness (F4,375 = 4.511, P = 0.001). The effect is attributed to the intervention group in which external reward was offered. Participants in this group were about two times more likely to report greater levels of preparedness compared to the control group (RR = 1.855; 95% CI: 1.065, 3.233).

The findings suggest that preparedness behavior can be promoted through external incentives. These are presumably effective motivators because they encourage preparedness while allowing subjects to retain their denial as an adaptive coping mechanism. Innovative thinking is required to overcome the psychological barriers associated with public reluctance to engage in preparedness. (Disaster Med Public Health Preparedness. 2018;13:713–723)

We report on a formative project to develop an organization-level planning framework for obesity prevention and management services.

It is common when developing new services to first develop a logic model outlining expected outcomes and key processes. This can be onerous for single primary care organizations, especially for complex conditions like obesity.

The initial draft was developed by the research team, based on results from provider and patient focus groups in one large Family Health Team (FHT) in Ontario. This draft was reviewed and activities prioritized by 20 FHTs using a moderated electronic consensus process. A national panel then reviewed the draft.

Providers identified five main target groups: pregnancy to 2, 3–12, 13–18, 18+ years at health risk, and 18+ with complex care needs. Desired outcomes were identified and activities were prioritized under categories: raising awareness (eg, providing information and resources on weight-health), identification and initial management (eg, wellness care), follow-up management (eg, group programs), expanded services (eg, availability of team services), and practice initiatives (eg, interprofessional education). Overall, there was strong support for raising awareness by providing information on the weight-health connection and on community services. There was also strong support for growth assessment in pediatric care. In adults, there was strong support for wellness care/health check visits and episodic care to identify people for interventions, for group programs, and for additional provider education.

Joint development by different teams proved useful for consensus on outcomes and for ensuring relevancy across practices. While priorities will vary depending on local context, the basic descriptions of care processes were endorsed by reviewers. Key next steps are to trial the use of the framework and for further implementation studies to find optimally effective approaches for obesity prevention and management across the lifespan.

Against medical advice, head and neck cancer (HNC) patients have been shown to continue to smoke and misuse alcohol post-diagnosis and treatment. This study aimed to better understand the barriers to and facilitators of health behavior change (HBC) in HNC patients.

We conducted nine focus groups following a standard protocol. Eligible patients were diagnosed less than three years previously with a primary HNC and selected using maximum variability sampling (gender, age, cancer stage, smoking, and alcohol misuse). Thematic analysis was conducted using NVivo 10 software.

Participants were mostly men (79%), 65 years of age (SD = 10.1), and married/common-law (52%, n = 15). Mean time from diagnosis was 19 months (SD = 12.3, range = 5.0–44.5), and most had advanced cancer (65.5%, n = 19). Participants provided a larger than anticipated definition of health behaviors, encompassing both traditional (smoking, drinking, diet, exercise, UV protection) and HNC-related (e.g., dental hygiene, skin care, speech exercises, using a PEG, gaining weight). The main emerging theme was patient engagement, that is, being proactive in rehabilitation, informed by the medical team, optimistic, flexible, and seeking support when needed. Patients were primarily motivated to stay proactive and engage in positive health behaviors in order to return to normal life and reclaim function, rather than to prevent a cancer recurrence. Barriers to patient engagement included emotional aspects (e.g., anxiety, depression, trauma, demoralization), symptoms (e.g., fatigue, pain), lack of information about HBC, and healthcare providers' authoritarian approach in counseling on HBC. We found some commonalities in barriers and facilitators according to behavior type (i.e., smoking/drinking/UV protection vs. diet/exercise).

This study underlines the key challenges in addressing health behaviors in head and neck oncology, including treatment-related functional impairments, symptom burden, and the disease's emotional toll. This delicate context requires health promotion strategies involving close rehabilitative support from a multidisciplinary team attentive to the many struggles of patients both during treatments and in the longer-term recovery period. Health promotion in HNC should be integrated into routine clinical care and target both traditional and HNC-related behaviors, emphasizing emotional and functional rehabilitation as key components.