scholarly journals Depression and health behaviors in Brazilian adults – PNS 2013

2017 ◽  
Vol 51 (suppl 1) ◽  
Author(s):  
Marilisa Berti de Azevedo Barros ◽  
Margareth Guimarães Lima ◽  
Renata Cruz Soares de Azevedo ◽  
Lhais Barbosa de Paula Medina ◽  
Claudia de Souza Lopes ◽  
...  
Keyword(s):  
Physical Activity ◽  
Major Depression ◽  
Alcohol Consumption ◽  
Health Behaviors ◽  
Passive Smoking ◽  
Depressive Mood ◽  
Eating Pattern ◽  
Health Related Behaviors ◽  
Health Related ◽  
Prevalence Ratios

ABSTRACT OBJECTIVE To evaluate the prevalence of health-related behaviors according to presence and type of depression in Brazilian adults. METHODS Based on a sample of 49,025 adults (18 to 59 years) from the National Survey on Health 2013 (PNS 2013), we estimated the prevalence of health-related behaviors (smoking; passive smoking; frequent or risky alcohol consumption; leisure time physical activity; time watching TV; and eating pattern indicators), according to the presence of depression (minor and major), evaluated by the Patient Health Questionnaire – 9 (PHQ-9), and the report of depressive mood (in up to seven days or more than seven days) over a two-week period. Prevalence ratios were estimated by Poisson regression. RESULTS Evaluated by the PHQ-9 scale, 9.7% of the Brazilian adults had depression and 3.9% presented major depression. About 21.0% reported depressive mood and, in 34.9% of them, that feeling has been present for more than seven days. In individuals with major depression (PHQ-9), higher prevalence was found in almost all unhealthy behaviors analyzed, in particular, smoking (PR = 1.65), passive smoking (PR = 1.55), risk alcohol consumption (PR = 1.72), TV for ≥ 5 hours/day (PR = 2.13), consumption of fat meat (PR = 1.43) and soft drink (PR = 1.42). The prevalence ratios tended to be lower in those with minor depression. Similar results were observed in adults with depressive mood. CONCLUSIONS This study detected relevant association between depression and health behaviors, in particular for smoking and physical activity. The associations found with the PHQ were similar to those observed with the application of a single question about depressive mood. Our results indicate the importance of assessing the presence of depression and the frequency and severity of symptoms when implementing actions for the promotion of healthy behaviors.

scholarly journals PATTERN OF HEALTH-RELATED BEHAVIORS AND RESOURCES AS PREDICTOR OF MEDICAL CARE AND MORTALITY RISK AMONG OLDER ADULTS

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S692-S693
Author(s):  
Dongmei Zuo ◽  
Merril D Silverstein
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Substance Abuse ◽  
Nursing Home ◽  
Health Insurance ◽  
Health Behaviors ◽  
Medical Care ◽  
Health Related Behaviors ◽  
Lower Likelihood ◽  
Health Related

Abstract This study investigates the patterns and consequences of a wide range of health-related behaviors and resources that include health-compromising behaviors, health-promoting behaviors, preventive health behaviors, and health risks coping resources. We aim to identify the empirically-derived subgroups of individuals with unique profiles of health behaviors and resources to determine how subgroup membership predicts health outcomes and medical care utilization four years later. Data derived from 5,067 respondents in the 2010 and 2014 waves of the Health and Retirement Study. Latent class analysis was used to define classes based on 13 indicators in the 2010 wave, which also provided sociodemographic and health-related covariates. Outcomes were measured over 4 years. Six latent subgroups were identified: “Best Behavior/Resources”, “Low Social Support “, “Low Physical Activity”, “High Substance Abuse”, “Low Preventive Tests”, and “Low Governmental Health Insurance”. Compared with the “Best” group, older adults identified as “Low Physical Activity” and “High Substance Abuse” were found to have higher mortality risks and a lower likelihood of seeing doctors and less nursing home nights; older adults with the lowest level of receiving flu shots, cholesterol and cancer screen test (“Low Preventive Tests”) reported a less likelihood of seeing doctors; respondents in “Low Governmental Health Insurance” subgroup were associated with a lower likelihood of hospital stay and more nursing home nights. Results suggest that distinct groups of older individuals characterized by their health behaviors and resources provide a basis for identifying the high-risk segment of the older population for intervention.

scholarly journals The association among health behaviors, shift work and chronic morbidity: A cross-sectional study on nurses working in full-time positions

2021 ◽  
Author(s):  
Dominika Berent ◽  
Mariusz Skoneczny ◽  
Marian Macander ◽  
Marcin Wojnar
Keyword(s):  
Physical Activity ◽  
Health Behaviors ◽  
Shift Work ◽  
Night Shift ◽  
World Health ◽  
Full Time ◽  
Night Shift Work ◽  
Health Related Behaviors ◽  
Health Related ◽  
Chronic Morbidity

Background: Nurses are known to work in conditions of stress and physical overload. Health behaviors are modifiable factors that may reduce the adverse effects of work on general health. The present study examined health-related behaviors and their association with current night shift work and chronic morbidity among female nurses.Design and Method: Four hundred seventy-two female nurses (M ± SD = 44.28±7.14 years) self-reported their health habits, physical activity, body mass index (BMI), and chronic disorders that required current treatment. Instruments used in the study consisted of an author-developed questionnaire and the Health Behavior Inventory (HBI). Reported diagnoses were classified as cardio-vascular, gastro-intestinal, malignant neoplastic, endocrine, or other.Results: The most common reported disorders were cardiovascular disorders (5.7% of nurses) followed by other (7.6%), endocrine (7.4%), gastro-intestinal (6.4%), and malignancy (0.2%). On average, health-related behaviors on the HBI were average (83.49 ± 14.33). Overweight and/or obesity (i.e., BMI ≥ 25 kg/m2) were reported by 41.5% of nurses, 24.2% were current smokers, and 36% reported no recreational physical activity. The remaining 64% of nurses who performed physical activity did not report activity levels that met World Health Organization recommendations. Physical activity and HBI scores (total and subscales; i.e., positive attitude, preventive behaviors, proper dietary habits, health-related practices) were not associated with current night shift work or morbidity.Conclusion: Health-promoting programs are needed to support weight control and promote health-related behaviors among nurses. Future research should identify potential barriers to healthy lifestyle recommendations in the workplace.

Like Mother, Like Child: The Influences of Maternal Attitudes and Behaviors on Weight-Related Health Behaviors in Their Children

2018 ◽  
Vol 29 (6) ◽  
pp. 523-531 ◽  
Author(s):  
Jyu-Lin Chen ◽  
Jia Guo ◽  
Jill Howie Esquivel ◽  
Catherine A. Chesla
Keyword(s):  
Physical Activity ◽  
Health Behaviors ◽  
Self Efficacy ◽  
Eating Behaviors ◽  
Healthy Lifestyle ◽  
Children's Health ◽  
Children’S Health ◽  
Maternal Factors ◽  
Health Related Behaviors ◽  
Health Related

Background: Childhood obesity has become a global health issue, yet little is known about the influence of maternal factors on children’s weight-related health behaviors (dietary habits and physical activity), especially in China. The purpose of this study was to examine the influence of maternal factors on children’s eating behaviors and physical activity in Chinese preschool-age children. Method: A cross-sectional study was utilized to describe weight-related health behaviors among preschool-aged children and identify maternal factors that are associated with children’s weight-related health behaviors in China. Mothers completed questionnaires regarding family eating and activity habits, child feeding practices, and maternal self-efficacy regarding their child’s health-related health behaviors. Results: A total of 222 mother–child dyads participated in this study. Maternal health-related behavior and attitudes regarding feeding practices and self-efficacy were associated with children’s health-related behaviors, including eating behaviors and physical and sedentary activities. The influence of maternal behaviors and attitudes were domain specific. Discussion: Improvement of children’s health behaviors, promoting a healthy lifestyle of the mother and self-efficacy, and providing health home environment for the child are critical in obesity prevention. Implications for Practice: Because children’s health is critical to the health of the nation and to global development, understanding the factors related to children’s health-related behaviors is an important first step toward development of tailored, culturally sensitive interventions for promoting a healthy lifestyle and preventing obesity.

Self-weighing Practices and Associated Health Behaviors during COVID-19

2021 ◽  
Vol 45 (1) ◽  
pp. 17-30
Author(s):  
Jamie A. Cooper ◽  
Michelle vanDellen ◽  
Surabhi Bhutani
Keyword(s):  
Physical Activity ◽  
Health Behaviors ◽  
Eating Behaviors ◽  
Television Viewing ◽  
Vegetable Consumption ◽  
Unhealthy Eating ◽  
Significant Difference ◽  
Health Related Behaviors ◽  
Lower Likelihood ◽  
Health Related

Objective: In this study, we investigated self-weighing frequency (SWF) among adults during the COVID-19 pandemic and retrospectively (6 months) before the pandemic, and whether SWF was associated with changes in health-related behaviors. Methods: United States adults (N = 1607) completed a health-related questionnaire during COVID-19 and associated shelter-in-place. We categorized respondents into 4 groups of SWF at the time of the pandemic: "Never," "< 1x a week," "1x a week," or "> 1x a week." Results: The proportion of adults never weighing increased during the pandemic (15% to 25%), whereas the proportion of those weighing < 1x week went down (41% to 29%). Higher SWF was significantly associated with changes in energy expenditure including increased total physical activity (PA), lower likelihood of decreases in vigorous, moderate, and walking PA, and a lower likelihood of sitting more. More frequent self-weighing also was associated statistically with lower likelihood of keeping unhealthy eating behaviors the same. Conversely, there was no significant difference in changes in alcohol, caffeine, takeout, fruit or vegetable consumption, and television viewing among SWF groups. Conclusion: SWF decreased during the pandemic in the lower 2 SWF categories. Higher SWF was associated with fewer negative changes in health behaviors, especially related to PA.

scholarly journals Utilizing Participatory Research to Engage Underserved Populations to Improve Health-Related Outcomes in Delaware

Nutrients ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 2353
Author(s):  
Shannon M. Robson ◽  
Samantha M. Rex ◽  
Katie Greenawalt ◽  
P. Michael Peterson ◽  
Elizabeth Orsega-Smith
Keyword(s):  
Physical Activity ◽  
Health Behavior ◽  
Health Behaviors ◽  
Participatory Research ◽  
Cooperative Extension ◽  
Underserved Populations ◽  
Community Outreach ◽  
Outreach Program ◽  
Health Related ◽  
Improve Health

Cooperative Extension is a community outreach program. Despite its large reach, there is a need for the evaluation of changes in health-related outcomes for individuals engaged with Cooperative Extension. A team-based challenge was developed using community-engaged participatory research integrated with Cooperative Extension to encourage healthy eating and physical activity behaviors through Cooperative Extension programming. Thus, the primary purpose of this secondary analysis was to (1) evaluate changes in anthropometric outcomes and (2) evaluate changes in health behavior outcomes. Associations of anthropometric changes and health behavior changes with engagement in the three-month team-based challenge were explored. Anthropometrics were measured using standard procedures, and intake of fruits and vegetables and physical activity were self-reported. Of the 145 participants in the community-engaged participatory research portion of the study, 52.4% (n = 76) had complete anthropometrics before and after the team-based challenge and were included in this study. At 3 months, there was a significant reduction in body mass index (−0.3 kg/m2, p = 0.024) and no significant change in waist circumference (p = 0.781). Fruit and vegetable intake significantly increased (+0.44 servings/day, p = 0.018). Physical activity did not significantly change based on (1) the number of days 30 or more minutes of physical activity was conducted (p = 0.765) and (2) Godin Leisure-Time Exercise Questionnaire scores (p = 0.612). Changes in anthropometrics and health behaviors were not associated with engagement in the team-based challenge. Using community-engaged participatory research with community outreach programs, such as Cooperative Extension, can improve health-related outcomes in underserved populations. However, despite a participatory approach, changes in anthropometrics and health behaviors were not associated with engagement in the developed team-based challenge.

Abstract P234: Associations of Clinical Characteristics and Health-related Behaviors With Physical Activity Levels in Stage B Heart Failure Patients

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Maira Tristao Parra ◽  
Meredith A Pung ◽  
Kathleen Wilson ◽  
Christopher Pruitt ◽  
Barry H Greenberg ◽  
...  
Keyword(s):  
Physical Activity ◽  
Heart Failure ◽  
Clinical Characteristics ◽  
Well Being ◽  
Physically Active ◽  
Heart Failure Patients ◽  
Health Related Behaviors ◽  
Health Related ◽  
Active Patients

Hypothesis: insufficiently active heart failure patients will report poorer QoL, more fatigue and depressive mood compared to active patients. Aims: To characterize clinical characteristics and health-related behaviors according to physical activity (PA). Also, to explore predicting factors of quality of life (QoL). Methods: Cross-sectional analysis of a cohort of Stage B HF patients. PA classification was set as active, moderately active or insufficiently active, according to the LTEQ questionnaire. For QoL, the SF-36 questionnaire was used. ANOVAS, Chi-Square tests or likelihood ratios and unadjusted multiple regression models were calculated. Significance was set at p ≤ 0.05. Results: In this cohort, 277 HF patients completed the PA questionnaire. The prevalence of active patients was higher than moderately active and insufficiently active (53.3% vs 15.2% and 29.6%), respectively. Younger age (p = 0.044), lower waist circumference (WC) (p = 0.002), and lower waist-to-hip ratio (p = 0.046) were associated with being active. The prevalence of Type II diabetes mellitus (T2DM) in the active groups was significantly lower (p = 0.001). Physically active groups had cases of mild LV enlargement (1.4% and 7.5%, respectively), while no cases were observed among insufficiently active patients (p = 0.017). PA was positively associated with less fatigue (p= 0.002), more vigor (p = 0.001), more self-efficacy (p < 0.001), and better quality of life (p = 0.002). Patients who were less physically active had more inflammation (CRP, p = 0.015; IL-6, p <0.001; TNF-α: p = 0.033, and IL-1ra, p = 0.001). WC (β =-0.16, p = 0.008), glucose (β =-0.12, p < 0.001) and fatigue (β = - 0.39, p < 0.001) predicted general health perception (R 2 = 0.449). For physical functioning (high scores reflects performing PA without limitations due to health), WC (β = - 0.28, p = 0.001), sleep (β = - 1.50, p = 0.003) and fatigue (β = - 0.32, p = 0.018) were significant predictors (R 2 = 0.422); while age (β = 0.36, p <0.001) physical activity (β = 0.051, p = 0.055), sleep (β = 0.50, p =0.046), fatigue (β = -0.37, p <0.001) and depression (β = -1.12, p <0.001) predicted emotional well-being (R 2 = 0.696). Conclusion: Physically active heart failure patients had a better anthropometric profile and lower prevalence of T2DM. In this cohort, PA was not a significant predictor for general and physical functioning, but it remained relevant for predicting emotional well-being.

Family Health Behaviors

2019 ◽  
Vol 109 (9) ◽  
pp. 3162-3191 ◽  
Author(s):  
Itzik Fadlon ◽  
Torben Heien Nielsen
Keyword(s):  
Health Behaviors ◽  
Administrative Data ◽  
Preventive Care ◽  
Adult Children ◽  
Family Members ◽  
Family Health ◽  
Health Shocks ◽  
Health Related Behaviors ◽  
The Future ◽  
Health Related

We study how health behaviors are shaped through family spillovers. We leverage administrative data to identify the effects of health shocks on family members’ consumption of preventive care and health-related behaviors, constructing counterfactuals for affected households using households that experience the same shock but a few years in the future. Spouses and adult children immediately improve their health behaviors and their responses are both significant and persistent. These spillovers are far-reaching as they cascade even to coworkers. While some responses are consistent with learning information about one’s own health, the evidence points to salience as a major operative explanation. (JEL D15, D83, I12, J12)

scholarly journals The Effect of Health-Related Behaviors on Disease Progression and Mortality in Early Stages of Chronic Kidney Disease: A Nationwide Population-Based Study

2019 ◽  
Author(s):  
Yookyung Lee ◽  
SuYeon Kwon ◽  
JongJoo Moon ◽  
Kyungdo Han ◽  
Nam-Jong Paik ◽  
...  
Keyword(s):  
Physical Activity ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Early Stage ◽  
Smoking Status ◽  
Consumption Pattern ◽  
Risk Of Death ◽  
Early Stages ◽  
Health Related Behaviors ◽  
Health Related

Healthy life style is associated with decreased risk of chronic kidney disease (CKD) and mortality in the general population. However, there is no definitive evidence on the benefits of physical activity and other health-related behaviors in the early-stage CKD. This study aimed to explore the association between health-related behaviors and end-stage renal disease (ESRD) and mortality in the early stages of CKD. The National Health Insurance Service (NHIS) database from January 1st, 2009 to December 31st, 2016 was used to screen 83,470 subjects with early stage CKD. Cox proportional hazard regression analysis was used to evaluate the association between health-related behaviors and ESRD and death. Kaplan-Meier curves for mortality and ESRD were plotted according to the physical activity, smoking status and alcohol consumption pattern. Risk of death decreased significantly in subjects who engaged in sufficient physical activity (adjusted Hazard Ratio (HR) 0.73; 95% CI: 0.64-0.83; p &lt; 0.001). Risk of ESRD and death increased significantly in the current smoker with adjusted HR of 1.44 (95% CI: 1.06-1.95; p &lt; 0.02) and 1.61 (95% CI: 1.44-1.80; p &lt; 0.001) respectively. Therefore, systematic interventions to encourage physical activity and smoking cessation need to be actively considered in the early stages of CKD.

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