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The purpose of this study was to examine the effects of Coronavirus (COVID‐19)‐related stressors and family health on adult anxiety and depressive symptoms 1 year into the pandemic. The sample consisted of 442 adults living in the United States who were recruited via Amazon Mechanical Turk. Data were analyzed using multiple logistic regression. Results indicated that compared to a sample 1 month into the pandemic, participants in the current sample reported worse family health and increases in both positive and negative perceptions of the pandemic on family life and routines. COVID‐19 stressors and perceived negative effects of the pandemic on family life increased the odds for moderate‐to‐severe depression and anxiety while having more family health resources decreased the odds for depression and anxiety symptoms. Participants reported lower odds for worse depression and anxiety since the beginning of the pandemic when they reported more positive family meaning due to the pandemic. The results suggest a need to consider the impact of family life on mental health in pandemics and other disasters. [ABSTRACT FROM AUTHOR]

Objectives: Worldwide, depression is one of the most common medical disorders in adolescence. Adolescent depressive symptoms generally increase over time, but many experience decreases after an initial peak. The purpose of this paper was to examine ecological predictors of baseline and change in adolescent depressive symptoms using Maslow's Hierarchy of Needs as a framework. Methods: Adolescents (n = 500; 52% female; baseline age 10–13 years) and their parents living in the northwestern United States completed annual questionnaires over six years. A structural equation model growth curve analysis was conducted to examine how family stressors, neighborhood safety, parent-child connectedness, and youth locus of control predicted adolescent depressive symptoms (baseline and growth). Results: Results demonstrated that adolescent locus of control was associated with lower baseline depressive symptoms (β = −0.27, p < 0.001). Parent-child connectedness (youth-report) was indirectly predictive of baseline depressive symptoms through locus of control (β = −0.06, p < 0.05). Family economic stress was predictive of less growth in depressive symptoms over time (β = −0.20, p < 0.05). General family stressors, neighborhood safety, and parent report of parent-child connectedness were not predictive of adolescent depressive symptoms. In a sensitivity analysis using an autoregressive model, adolescent-report of parent-child connectedness was the most consistently predictive measure of adolescent depressive symptoms. Conclusions: Overall, the results suggest that feelings of family connectedness and control are more important to understanding baseline depressive symptoms than physical, contextual factors. However, some adversity may be healthy and provide adolescents with experiences that slow the growth of depression. [ABSTRACT FROM AUTHOR]

The purpose of this study was to perform front-end segmentation to identify the most appropriate population subgroup for physical activity programming in Utah. A three-round Delphi survey was conducted among 48 physical activity professionals in the state. Analysis involved the use of mean score ranks and confidence intervals (95%). A nominal group procedure was also conducted to supplement results of the Delphi survey. Results indicated that children from middle-class income families be targeted in school settings. This study demonstrated that the use of the Delphi and nominal group were practical and serviceable procedures infront-end audience segmentation. [ABSTRACT FROM AUTHOR]

Background: Twitter provides various types of location data, including exact Global Positioning System (GPS) coordinates, which could be used for infoveillance and infodemiology (ie, the study and monitoring of online health information), health communication, and interventions. Despite its potential, Twitter location information is not well understood or well documented, limiting its public health utility. Objective: The objective of this study was to document and describe the various types of location information available in Twitter. The different types of location data that can be ascertained from Twitter users are described. This information is key to informing future research on the availability, usability, and limitations of such location data. Methods: Location data was gathered directly from Twitter using its application programming interface (API). The maximum tweets allowed by Twitter were gathered (1% of the total tweets) over 2 separate weeks in October and November 2011. The final dataset consisted of 23.8 million tweets from 9.5 million unique users. Frequencies for each of the location options were calculated to determine the prevalence of the various location data options by region of the world, time zone, and state within the United States. Data from the US Census Bureau were also compiled to determine population proportions in each state, and Pearson correlation coefficients were used to compare each state's population with the number of Twitter users who enable the GPS location option. Results: The GPS location data could be ascertained for 2.02% of tweets and 2.70% of unique users. Using a simple text-matching approach, 17.13% of user profiles in the 4 continental US time zones were able to be used to determine the user's city and state. Agreement between GPS data and data from the text-matching approach was high (87.69%). Furthermore, there was a significant correlation between the number of Twitter users per state and the 2010 US Census state populations (r = 0.97, P < .001). Conclusions: Health researchers exploring ways to use Twitter data for disease surveillance should be aware that the majority of tweets are not currently associated with an identifiable geographic location. Location can be identified for approximately 4 times the number of tweets using a straightforward text-matching process compared to using the GPS location information available in Twitter. Given the strong correlation between both data gathering methods, future research may consider using more qualitative approaches with higher yields, such as text mining, to acquire information about Twitter users' geographical location.

Research indicates that adverse childhood experiences (ACEs) can lead to poorer adult health, but less is known how advantageous childhood experiences (counter-ACEs) may neutralize the negative effects of ACEs, particularly in young adulthood. We examined the independent contributions of Adverse Childhood Experiences (ACEs) and Advantageous Childhood Experiences (counter-ACEs) that occur during adolescence on five young adult health indicators: depression, anxiety, risky sexual behaviors, substance abuse, and positive body image. The sample included 489 adolescents from a large northwestern city in the United States who were 10–13 years at baseline (51 % female). Flourishing Families Project survey data were used for this secondary analysis using structural equation modeling. Adolescents and their parents completed an annual survey. ACEs and counter-ACEs were measured over the first five years of the study. The five health indicators were measured in wave 10 when participants were 20–23 years old. Participants had on average 2.7 ACEs and 8.2 counter-ACEs. When both ACEs and counter-ACEs were included in the model, ACEs were not predictive of any of the health indicators and counter-ACEs were predictive of less risky sex (-.12, p <.05), substance abuse (-.12, p <.05), depression (-.11, p <.05), and a more positive body image (.15, p <.01). Higher ratios of counter-ACEs to ACEs had a particularly strong effect on improved young adult health. Counter-ACEs that occur in adolescence may diminish the negative effects of ACEs on young adult health and independently contribute to better health. [ABSTRACT FROM AUTHOR]

Family health is important to the well-being of individual family members and the collective family unit, and as such, may serve as a mediator for the intergenerational transmission of trauma (ITT). This study aimed to understand the intergenerational impact of parent's adverse and positive childhood experiences (ACEs and PCEs) on their children's adverse family experiences (AFEs) and how family health mediated those relationships. The sample consisted of 482 heterosexual married or cohabiting couples (dyads) in the United States who had a child between the ages of 3 and 13 years old. Each member of the dyad completed a survey, and data were analyzed using structural equation modeling. Parental ACEs were associated with more AFEs. The fathers', but not the mothers', ACEs were associated with worse family health. Parental PCEs were associated with better family health, and family health was associated with lower AFE scores. Indirect effects indicated that parental PCEs decreased AFEs through their impact on family health. Family health also mediated the relationship between the father's ACEs and the child's AFEs. Interventions designed to support family health may help decrease child AFEs.

Background: The objective of the study was to examine the association of COVID-19 with family well-being and adult mental health 1 month into the COVID-19 pandemic in the United States. Prior pandemics have had long-term effects on mental health. COVID-19 and its related stressors, such as loss of work and social distancing requirements, may have a profound impact on short-term and long-term mental health. Family stress theory indicates that subjective family meaning making and family resources affect how stressors lead to outcomes., Method: Participants, adults ages 18 years and older (N = 416), completed a cross-sectional online survey measuring depressive and anxiety symptoms, family health, subjective family meaning making, and loss of work resulting from COVID-19. Data were analyzed using a structural equation modeling framework., Results: Results indicated that subjective negative family meaning and effects were associated with more depression and anxiety. Higher family health resources were associated with less depression and anxiety. Family health resources mediated the relationships between COVID-19 loss of work with depression and anxiety., Conclusion: COVID-19 associated stressors 1 month into the pandemic had modest effects on family meaning making and family health resources. Individuals from families whose health resources were negatively impacted by COVID-19 reported more anxiety and depressive symptoms. Health care and public health systems should consider family health resources to help reduce the negative effects of COVID-19 on mental health. Longitudinal research is needed to examine the accumulation of stressors over time and the directionality of relationships. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Objective: To compare and contrast how specific graduated driver licensing (GDL) components have been implemented in different states and explore how the policies currently in place have affected state-level teen crash and mortality outcomes., Methods: The study design involved a policy analysis using methodology set forth by Teitelbaum and Wilensky (2007). Eight states were selected, 2 each from 4 different regions in the United States. Each pair of states was similar in terms of geography and vehicle miles driven per capita but differed in the relative strength of their GDL legislation. Teen fatality and crash rates in 2010 as well as specific GDL components were the variables used for analysis. A weighted decision matrix was created to reflect the comparative impact of each variable., Results: In every region, the state with the stronger GDL policy scored higher on the decision matrix than the state with the weaker GDL policy. The Eastern states (Maryland and Vermont) scored the best overall (123.9); the Southern states (Mississippi and Georgia) scored the poorest overall (-55.7)., Conclusions: Consistent with other GDL research, states with stronger GDL policies had more favorable teen crash and mortality outcomes than states with weaker ones. Analysis showed that the policies in strong states shared several common themes: more required practice hours, ban on all teen passengers, and night driving restrictions for 12+ months. Implications for state policy makers are provided.

Background: Suicide is a leading cause of death in the United States. Social media such as Twitter is an emerging surveillance tool that may assist researchers in tracking suicide risk factors in real time., Aims: To identify suicide-related risk factors through Twitter conversations by matching on geographic suicide rates from vital statistics data., Method: At-risk tweets were filtered from the Twitter stream using keywords and phrases created from suicide risk factors. Tweets were grouped by state and departures from expectation were calculated. The values for suicide tweeters were compared against national data of actual suicide rates from the Centers for Disease Control and Prevention., Results: A total of 1,659,274 tweets were analyzed over a 3-month period with 37,717 identified as at-risk for suicide. Midwestern and western states had a higher proportion of suicide-related tweeters than expected, while the reverse was true for southern and eastern states. A strong correlation was observed between state Twitter-derived data and actual state age-adjusted suicide data., Conclusion: Twitter may be a viable tool for real-time monitoring of suicide risk factors on a large scale. This study demonstrates that individuals who are at risk for suicide may be detected through social media.

Background: Adderall is the most commonly abused prescription stimulant among college students. Social media provides a real-time avenue for monitoring public health, specifically for this population., Objective: This study explores discussion of Adderall on Twitter to identify variations in volume around college exam periods, differences across sets of colleges and universities, and commonly mentioned side effects and co-ingested substances., Methods: Public-facing Twitter status messages containing the term "Adderall" were monitored from November 2011 to May 2012. Tweets were examined for mention of side effects and other commonly abused substances. Tweets from likely students containing GPS data were identified with clusters of nearby colleges and universities for regional comparison., Results: 213,633 tweets from 132,099 unique user accounts mentioned "Adderall." The number of Adderall tweets peaked during traditional college and university final exam periods. Rates of Adderall tweeters were highest among college and university clusters in the northeast and south regions of the United States. 27,473 (12.9%) mentioned an alternative motive (eg, study aid) in the same tweet. The most common substances mentioned with Adderall were alcohol (4.8%) and stimulants (4.7%), and the most common side effects were sleep deprivation (5.0%) and loss of appetite (2.6%)., Conclusions: Twitter posts confirm the use of Adderall as a study aid among college students. Adderall discussions through social media such as Twitter may contribute to normative behavior regarding its abuse.

Despite the expanding use of social media, little has been published about its appropriate role in health promotion, and even less has been written about evaluation. The purpose of this article is threefold: (a) outline purposes for social media in health promotion, (b) identify potential key performance indicators associated with these purposes, and (c) propose evaluation metrics for social media related to the key performance indicators. Process evaluation is presented in this article as an overarching evaluation strategy for social media.

Pornography is a public health issue. However, since the US Surgeon General's workshop on pornography and public health reached a consensus statement about the impacts of pornography in 1986, few policy actions have been taken to deal with this public health problem, and intense discussion surrounding the regulation of pornography has continued. This debate spans a continuum between individual rights on one extreme and complete restriction of such material for society's good on the other extreme. However, during this same period much research has been done on the impacts of pornography on children and adults. This paper focuses on reviewing the effects of pornography on society including women, children, and consumers, and includes discussion on the current and failed policies aimed at regulating pornography. The growing phenomenon of Internet pornography use is discussed in depth, and specific policy ideas pertaining to Internet pornography are presented from a public health perspective.