Depressive Symptoms and Health-Related Risk-Taking in Adolescence

2010 ◽  
Vol 40 (3) ◽  
pp. 298-305 ◽  
Author(s):  
C. Rylann Testa ◽  
Laurence Steinberg
2018 ◽  
Vol 49 (2) ◽  
pp. 250-259 ◽  
Author(s):  
Joyce T. Bromberger ◽  
Laura L. Schott ◽  
Nancy E. Avis ◽  
Sybil L. Crawford ◽  
Sioban D. Harlow ◽  
...  

AbstractBackgroundPsychosocial and health-related risk factors for depressive symptoms are known. It is unclear if these are associated with depressive symptom patterns over time. We identified trajectories of depressive symptoms and their risk factors among midlife women followed over 15 years.MethodsParticipants were 3300 multiracial/ethnic women enrolled in a multisite longitudinal menopause and aging study, Study of Women's Health Across the Nation. Biological, psychosocial, and depressive symptom data were collected approximately annually. Group-based trajectory modeling identified women with similar longitudinal patterns of depressive symptoms. Trajectory groups were compared on time-invariant and varying characteristics using multivariable multinomial analyses and pairwise comparisons.ResultsFive symptom trajectories were compared (50% very low; 29% low; 5% increasing; 11% decreasing; 5% high). Relative to whites, blacks were less likely to be in the increasing trajectory and more likely to be in the decreasing symptom trajectory and Hispanics were more likely to have a high symptom trajectory than an increasing trajectory. Psychosocial/health factors varied between groups. A rise in sleep problems was associated with higher odds of having an increasing trajectory and a rise in social support was associated with lower odds. Women with low role functioning for 50% or more visits had three times the odds of being in the increasing symptom group.ConclusionsChanges in psychosocial and health characteristics were related to changing depressive symptom trajectories. Health care providers need to evaluate women's sleep quality, social support, life events, and role functioning repeatedly during midlife to monitor changes in these and depressive symptoms.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jessica K. Perrotte ◽  
Eric C. Shattuck ◽  
Colton L. Daniels ◽  
Xiaohe Xu ◽  
Thankam Sunil

Abstract Background Research suggests that health/safety behaviors (e.g., drinking heavily) and medical behaviors (e.g., donating blood) may be perceived as inherently risky, and further suggests there is substantial variation in the likelihood of engaging in a particular health-related risk behavior across people. Research examining demographic and sociocultural factors related to both health/safety and medical risk-taking is highly limited. Importantly, with very few exceptions the literature examining health risks characterized by potentially hazardous health behaviors (e.g, heavy alcohol use, driving without a seatbelt) is kept separate from the literature examining health risks characterized by potentially beneficial medical behaviors (e.g., donating blood, taking medication). In the interest of health promotion, it is critical for researchers to identify – and describe – individuals who are less inclined to engage in health-harming behaviors while at the same time being more inclined to engage in health-benefiting behaviors. Identifying such a subtype of individuals was the guiding aim for this study. Method A national sample of adults in the United States responded to a survey on sociocultural and demographic correlates of health behaviors. Health-related risk-taking indicators were measured using the items from the health/safety and medical subscales of the DOSPERT-M. Subtypes of risk-takers were identified using latent profile analysis (LPA). Follow-up analyses to describe subtype demographic characteristics were conducted. Results LPA identified four subtypes of risk-takers, including a subtype (n = 565, 45% of the sample; labeled “divergent”) that was comprised of individuals who highly endorsed medical risk-taking (e.g., taking medicine, giving blood) and minimally endorsed health/safety risk-taking (e.g., drinking heavily, unprotected sex). Subsequent analyses suggested that, among other findings, divergent profile members were likely to be married, endorse familial interdependence, and orient toward masculinity rather than femininity. Conclusion By examining potentially modifiable factors related to individuals’ inclinations to engage in health protective behaviors, this study is an important step toward improving current health behavior interventions among U.S. adults.


Author(s):  
Yehuda Pollak ◽  
Haym Dayan ◽  
Rachel Shoham ◽  
Itai Berger

AbstractImportanceIdentifying risk factors for adherence to public health instructions for the COVID-19 pandemic may be crucial for controlling the rate of transmission and the pandemic’s health and economic impacts.ObjectiveTo determine sociodemographic, health-related, risk-related, and instruction-related factors that predict non-adherence to instructions for the COVID-19 pandemic.DesignCross-sectional survey in Israel collected between March 28 and April 10, 2020.SettingPopulation-based study.ParticipantsA convenience sample completed an online survey.ExposuresSociodemographic, health-related, risk-related, and instruction-related characteristics of the participants that have been linked to adherence to medical instructions.Main Outcome and MeasureNon-adherence to instructions defined by a mean score of less than 4 on a 1 to 5 adherence scale consisting of 19 instruction items.ResultsAmong 654 participants (413 [64.8%] female, age 40.14 [15.23] years), 28.7% were defined as non-adherents. Non-adherence was associated with male gender [adjusted odds ratio (aOR) = 1.54, CI 1.03– 2.31], not having children [aOR = 1.73, 1.13–2.65], smoking [aOR = 2.27, CI 1.42–3.62], high levels of ADHD symptoms [aOR = 1.55, CI 1.07–2.25], high levels of past risk-taking behavior [aOR = 1.41, CI 1.10–1.81], as well as by current high psychological distress [aOR = 1.51, CI 1.14–2.01], low perceived risk of COVID-19 [aOR = 1.52, CI 1.22–1.89], low exposure to the instructions [aOR = 1.45, CI 1.14–1.82], and low perceived efficacy of the instructions [aOR = 1.47, CI 1.16–1.85]. Adjusted OR of age, economic status, physical health status, and exposure to media did not reach the significance level.Conclusions and RelevancePeople with the above characteristics may have increased risk for non-adherence to public health instructions. There appears to be a need for setting out and communicating instructions to specifically targeted at-risk populations.Key PointsQuestionWhat factors are associated with non-adherence to public health instructions during COVID-19?FindingsIn a cross-sectional study of 654 Israeli participants, non-adherence to instructions was associated with male gender, not having children, smoking, high levels of attention-deficit/hyperactivity disorder (ADHD) symptoms, low level of pro-sociality, and high levels of past risk-taking behavior, as well as by current high psychological distress, high perceived risk of the COVID-19, high exposure to the instructions, and high perceived efficacy of the instructions.MeaningThe findings suggest that in setting out and communicating public health instructions, policymakers should consider the above sociodemographic, health-related, risk-related, and instruction-related characteristics.


2014 ◽  
Vol 3 (4) ◽  
pp. 190-194 ◽  
Author(s):  
Andreas Kastenmüller ◽  
Peter Fischer ◽  
Julia Fischer

Trials ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Noemi Anja Brog ◽  
Julia Katharina Hegy ◽  
Thomas Berger ◽  
Hansjörg Znoj

Abstract Background The coronavirus-19 (COVID-19) has reached pandemic status and is affecting countries all over the world. The COVID-19 pandemic is accompanied by various stressors that require adjustment in everyday life and possibly changes in personal future prospects. While some individuals cope well with these challenges, some develop psychological distress including depressive symptoms, anxiety, or stress. Internet-based self-help interventions have proven to be effective in the treatment of various mental disorders such as depression and anxiety. Based on that, we developed an internet-based self-help program for individuals with psychological distress due to the situation surrounding the COVID-19 pandemic. The 3-week self-help program consists of 6 modules comprising texts, videos, figures, and exercises. Participants can request guidance within the self-help program (guidance on demand). The primary aim of this study is to evaluate the efficacy and feasibility of the self-help program compared to a waiting control condition. Methods The design is a parallel group randomized controlled trial. Participants are allocated to a 3-week self-help intervention plus care as usual or a 3-week waiting period with only care as usual. There are follow-ups after 6 weeks and 18 weeks. At least 80 participants with COVID-19 pandemic related psychological distress will be recruited. Primary outcome are depressive symptoms. Secondary outcomes include anxiety and chronic stress, suicidal experiences and behavior, health-related quality of life, generalized optimism and pessimism, embitterment, optimistic self-beliefs, emotion regulation skills, loneliness, resilience, and the satisfaction with and usability of the self-help program. Discussion To the best of our knowledge, this is one of the first studies investigating the efficacy of an internet-based self-help program for psychological distress due to the situation surrounding the COVID-19 pandemic. Thus, the results of this study may give further insight into the use of internet-based self-help programs in pandemic-related psychological distress. Trial registration ClinicalTrials.gov NCT04380909. Retrospectively registered on 8 May 2020.


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