Did the COVID-19 pandemic impact help-seeking behavior for seizure management? A Google Trends™ study.
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ABSTRACT:
SUBMITTER: Syed MJ
PROVIDER: S-EPMC8669502 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BackgroundDue to the emergency responses early in the COVID-19 pandemic, the use of digital health in health care increased abruptly. However, it remains unclear whether this introduction was sustained in the long term, especially with patients being able to decide between digital and traditional health services once the latter regained their functionality throughout the COVID-19 pandemic.ObjectiveWe aim to understand how the public interest in digital health changed as proxy for digital health-seeking behavior and to what extent this change was sustainable over time.MethodsWe used an interrupted time-series analysis of Google Trends data with break points on March 11, 2020 (declaration of COVID-19 as a pandemic by the World Health Organization), and December 20, 2020 (the announcement of the first COVID-19 vaccines). Nationally representative time-series data from February 2019 to August 2021 were extracted from Google Trends for 6 countries with English as their dominant language: Canada, the United States, the United Kingdom, New Zealand, Australia, and Ireland. We measured the changes in relative search volumes of the keywords online doctor, telehealth, online health, telemedicine, and health app. In doing so, we capture the prepandemic trend, the immediate change due to the announcement of COVID-19 being a pandemic, and the gradual change after the announcement.ResultsDigital health search volumes immediately increased in all countries under study after the announcement of COVID-19 being a pandemic. There was some variation in what keywords were used per country. However, searches declined after this immediate spike, sometimes reverting to prepandemic levels. The announcement of COVID-19 vaccines did not consistently impact digital health search volumes in the countries under study. The exception is the search volume of health app, which was observed as either being stable or gradually increasing during the pandemic.ConclusionsOur findings suggest that the increased public interest in digital health associated with the pandemic did not sustain, alluding to remaining structural barriers. Further building of digital health capacity and developing robust digital health governance frameworks remain crucial to facilitating sustainable digital health transformation.
| S-EPMC9848442 | biostudies-literature
Project description:Many studies have discovered a number of factors that can contribute to the risk of developing postpartum depression (PPD), including, but not limited to, life stressors, lack of social support, low economic status, and quality of the marital relationship. However, these studies were conducted in various countries with participants from different cultural backgrounds.This study aimed to examine the impact of general help-seeking behavior (GHSB) and partner support (PS) on PPD among Saudi women in primary health care clinics in Riyadh city.Data were collected by using self-administered measures of the Edinburgh Postnatal Depression Scale (EPDS), General Help-Seeking Questionnaire (GHSQ), and Partner Support Scale (PSS). Frequency distribution was used to analyze the categorical data, and Student's t-test and one-way analysis of variance were employed to compare the numerical data. Linear regression analysis was used to control for all confounders.The findings showed that 9% and 28% of women had good and poor GHSB, respectively, 16% had poor PS, and 25.7% could be classified as probably depressed. Negative relationships between GHSB versus PPD and PS versus PPD were observed. Adjusting by mode of delivery and controlling for confounders in linear regression showed that women who underwent normal vaginal delivery, with higher para rates (β=0.250, t=2.063) and lower PS scores (β=-0.238, t=-2.038), were more likely to suffer higher depression scores (adj P=0.043 and adj P=0.045, respectively). Women who underwent cesarean-section, with postpartum duration ≥6 weeks (β=0.374, t=2.082), were more likely to suffer higher depression scores (adj P=0.045) compared to those with <6 weeks of postpartum duration.The prevalence of PPD among the study participants was high, especially among higher para women who underwent normal delivery and women ≥6 weeks post cesarean-section, in comparison with the results in other studies. PPD is reduced by enhancing women's GHSB and PS.
| S-EPMC5530055 | biostudies-other
Project description:ObjectiveDuring COVID-19, the Internet was a prime source for getting relevant updates on guidelines and desirable information. The objective of the present study was to determine the nutritional immunity information-seeking behaviour during COVID-19 in India.DesignGoogle Trends (GTs) data on relevant COVID-19 and nutritional topics were systematically selected and retrieved. Data on newly reported COVID-19 cases were also examined on a daily basis. The cross-correlation method was used to determine the correlation coefficient between the selected terms and daily new COVID-19 cases, and the joinpoint regression models were utilised to measure monthly percent change (MPC) in relative search volumes (RSV).SettingOnline.ParticipantsPeople using Google search during the period 1 January 2020-31 August 2020 in India.ResultsThe date of peak searches can be attributed to the COVID-19 guidelines announcement dates. All the nutritional terms showed a significant increase in average monthly percentage change. The higher than the average daily rise in COVID-19 cases leads to a higher than average increase in RSV of nutritional terms with the greatest association after 14-27 d. The highest mean relative search volume for nutritional terms was from Southern India (49·34 ± 7·43), and the lowest was from Western India (31·10 ± 6·30).ConclusionThere was a significant rise in the Google searches of nutritional immunity topics during COVID-19 in India. The local/regional terms can be considered for better outreach of public health guidelines or recommendations. Further automation of Google Trends using programming languages can help in real-time monitoring and planning various health/nutritional events.
| S-EPMC8438499 | biostudies-literature
Project description:As the COVID-19 spread globally, social distancing, self-isolation/quarantine, and national lockdowns have become crucial to control the pandemic. However, these measures may also lead to increases in social isolation, loneliness, and stress, which can alter the consumption of pornography habits. The aim of the study was thus to explore the interest pattern in pornography and coronavirus-themed pornography during the COVID-19 outbreak. Google Trends® was employed to determine the most popular porn websites (Porn, XNXX, PornHub, xVideos, and xHamster), and coronavirus-themed pornography worldwide and in six nations with different COVID-19 outbreak and self-isolation recommendations. We analyzed every search trend on Google® from January 9, 2020 to May 25, 2020 using "joint point regression analysis". Comparisons of week relative search volume (WRSV) and temporal patterns were analyzed to assess the change of interest in search terms during nations lockdowns. Paired t-test was used to compare WRSV values among the porn websites during the national lockdowns and the equivalent timespan of the weeks in the previous 4 years. The research trend of almost every keyword increased with significant inflection points for those nations with a straight "stay at home orders" (China, Italy, Spain, and France). "PornHub" and "Porn" showed the highest increase of interest worldwide with an average weekend percentage change (AWPC) of 4.9 and 3.8, respectively. The mean WRSV for keywords in USA and Sweden did not show a similar increase as the other nations. The WRSV percentage change with the historical data had a peak during the straight nations' lockdowns (p < 0.01). All the nations had a significant increase in WRSV coronavirus-themed pornography for each keyword (p < 0.01) with an AWPC, ranging worldwide between 18.5 and 61.8 (p < 0.01), after the beginning of self-quarantine. As strengths this study uses a big data technology to collect worldwide trend of interest, however, data are anonymous and do not allow analysis of subpopulation groups. In conclusion, we demonstrated an increased interest in pornography and coronavirus-themed pornography after the outbreak of COVID-19 in nations with a straight "stay at home orders".
| S-EPMC7699018 | biostudies-literature
Project description:Crises in financial markets affect humans worldwide. Detailed market data on trading decisions reflect some of the complex human behavior that has led to these crises. We suggest that massive new data sources resulting from human interaction with the Internet may offer a new perspective on the behavior of market participants in periods of large market movements. By analyzing changes in Google query volumes for search terms related to finance, we find patterns that may be interpreted as "early warning signs" of stock market moves. Our results illustrate the potential that combining extensive behavioral data sets offers for a better understanding of collective human behavior.
| S-EPMC3635219 | biostudies-literature
Project description:This study aimed to evaluate the impact of parental mental health on adolescent offspring. Data regarding 6512 families from the 2010-2021 Korean National Health and Nutrition Examination Survey were analyzed; among them, 428 were placed in the suicidal ideation (SI) group and 421 were placed in the matched control (MC) group. This number was selected for the use of the propensity score matching method. The findings highlighted significant associations between parental mental health and adolescent suicidal ideation, with mothers in the SI group having higher odds of Diagnosed Depression (OR 2.109, 1.023-4.350 95% CI), Depressive Mood (OR 2.155, 1.224-3.793 95% CI), and Suicidal Ideation (OR 2.532, 1.322-4.851 95% CI) compared to the MC group. Regarding the fathers, paternal Suicidal Ideation (OR 4.295, 1.747-10.599 95% CI) was the only significant factor for adolescent suicidal ideation. In contrast, maternal depressive symptoms and help-seeking behavior significantly impacted adolescent help-seeking; Maternal Depressive Mood increased with adolescent Help-Seeking (OR 4.486, 1.312-15.340 95% CI) while Maternal Suicidal Ideation reduced the probability of Help-Seeking in the SI group (OR 0.15, 0.031-0.721, 95% CI). Chronic and severe depressive symptoms in mothers could make adolescents less likely to seek help for their suicidal ideations. Therefore, clinicians working with adolescents should prioritize a family-oriented approach.
| S-EPMC10419277 | biostudies-literature
Project description:We investigated how intelligent virtual assistants (IVA), including Amazon's Alexa, Apple's Siri, Google Assistant, Microsoft's Cortana, and Samsung's Bixby, responded to addiction help-seeking queries. We recorded if IVAs provided a singular response and if so, did they link users to treatment or treatment referral services. Only 4 of the 70 help-seeking queries presented to the five IVAs returned singular responses, with the remainder prompting confusion (e.g., "did I say something wrong?"). When asked "help me quit drugs" Alexa responded with a definition for the word drugs. "Help me quit…smoking" or "tobacco" on Google Assistant returned Dr. QuitNow (a cessation app), while on Siri "help me quit pot" promoted a marijuana retailer. IVAs should be revised to promote free, remote, federally sponsored addiction services, such as SAMSHA's 1-800-662-HELP helpline. This would benefit millions of IVA users now and more to come as IVAs displace existing information-seeking engines.
| S-EPMC6989668 | biostudies-literature
Project description:Background: Some individuals with chronic pain do not seek care. This decision may be due to characteristics of the individual, pain, and/or their health professional(s). Aims: This study aimed to identify and compare features of individuals with chronic pain, their pain and general health, and their health care professional between community-dwelling adults who did and did not seek care. Methods: Randomly selected adults were mailed a study questionnaire that screened for chronic pain (pain persisting ≥3 months) and asked about their general well-being (Short Form [SF]-36), pain location (body diagram), pain intensity and characteristics (Leeds Assessment of Neuropathic Symptoms and Signs), experiences with health care professionals (Chronic Illness Resources Survey), and visits made to health professionals over the past year. Respondents were categorized as help-seeking (≥1 visit in the past year) and non-help-seeking (zero visits in the past year). Results: Six percent of respondents (44/696) were non-help-seeking. These respondents differed in individual, pain, and health care professional characteristics when compared to those who did seek care. Specifically, when other variables were controlled, non-help-seeking individuals were less likely to be male (relative risk [RR] = 0.39, 95% confidence interval [CI], 0.18-0.86), report comorbid conditions (RR = 0.46, 95% CI, 0.22-0.98), report being treated as an equal partner in decision making (RR = 0.40, 95% CI, 0.18-0.93), and rate their health care professional as important to their pain management (RR = 0.39, 95% CI, 0.18-0.85). They were more likely to use over-the-counter medication to manage their pain (RR = 2.52, 95% CI, 1.14-5.58). Conclusions: Experiences with health professionals play a role in determining whether an individual manages his or her pain independently. Future research should explore the safety of those who do not seek care.
| S-EPMC8730570 | biostudies-literature
Project description:First-generation (FG) college students (students for whom neither parent earned a bachelor’s degree) are typically less likely to interact with their instructors and communicate with them by email or in person, compared to continuing-generation (CG) students. Qualitative research suggests FG students are less likely to seek help when they need it, and when they do seek help they are more likely to engage in passive help-seeking (e.g., waiting quietly for assistance) as opposed to active help-seeking (e.g., promptly requesting assistance through multiple methods), compared to CG students. The current laboratory study provided students with an opportunity to seek academic and non-academic help and measured whether students engaged in active help-seeking behavior. We also tested whether having a shared identity with a help-provider could increase active help-seeking behavior among FG students. Results showed that FG students were less likely to seek academic help. Among FG and CG students who sought academic help, the intervention had no significant impact on active help-seeking. However, among students seeking non-academic help, active help-seeking behaviors were significantly higher for FG college students assigned a help-provider who signaled a FG identity. In other words, having a shared identity with a help-provider led to more active help-seeking among FG college students seeking non-academic assistance. FG faculty, staff, and student workers who provide non-academic assistance may want to consider self-identifying as FG to increase help-seeking behaviors among FG students struggling to navigate the college environment. Supplementary Information The online version contains supplementary material available at 10.1007/s11218-023-09794-y.
| S-EPMC10218772 | biostudies-literature
Project description:As the 2019 novel coronavirus disease (COVID-19) pandemic rages globally, its impact has been felt in the stock markets around the world. Amidst the gloomy economic outlook, certain sectors seem to have survived better than others. This paper aims to investigate the sectors that have performed better even as market sentiment is affected by the pandemic. The daily closing stock prices of a total usable sample of 1,567 firms from 37 sectors are first analyzed using a combination of hierarchical clustering and shape-based distance (SBD) measures. Market sentiment is modeled from Google Trends on the COVID-19 pandemic. This is then analyzed against the time series of daily closing stock prices using augmented vector autoregression (VAR). The empirical results indicate that market sentiment towards the pandemic has significant effects on the stock prices of the sectors. Particularly, the stock price performance across sectors is differentiated by the level of the digital transformation of sectors, with those that are most digitally transformed, showing resilience towards negative market sentiment on the pandemic. This study contributes to the existing literature by incorporating search trends to analyze market sentiment, and by showing that digital transformation moderated the stock market resilience of firms against concern over the COVID-19 outbreak.
| S-EPMC7502306 | biostudies-literature