Outdoor Activity in the Daytime, but Not the Nighttime, Predicts Better Mental Health Status During the COVID-19 Curfew in the United Arab Emirates

Anouti, Fatme Al; Thomas, Justin; Karras, Spyridon Ν.; Asswad, Nour El

doi:10.3389/fpubh.2022.829362

Cited by 9 publications

(5 citation statements)

References 68 publications

(69 reference statements)

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“…This program was conducted from 10 a.m. to 12 a.m., and it is thought that the depression symptoms of patients improved because it led them to be naturally exposed to sunlight through various forest activities such as stretching, walking, and emotional cards. For example, Anouti et al [91] conducted an online survey of 245 participants evaluating depression, physical symptoms, and levels of day and night activity. Multivariate logistic regression analysis showed that only daytime outdoor activities, not night outdoor activities, were associated with a clinically significant reduction in the risk of depression and physical symptoms.…”

Section: Discussionmentioning

confidence: 99%

Effects of Urban Forest Therapy Program on Depression Patients

Yeon

Kim

Kang

et al. 2022

IJERPH

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Depression is a common serious mental health condition that can have negative personal and social consequences, and managing it is critical for treating depression patients. Forest therapy is emerging as a promising non-pharmacological intervention to improve mental health. However, although the effectiveness of forest therapy programs using forests far from the city has been proven, it is not well known that urban forests can be easily accessed in daily life. Therefore, this study aimed to examine the effects of an urban forest therapy program on depression symptoms, sleep quality, and somatization symptoms of depression patients. To evaluate this, a randomized controlled trial (RCT) design was employed. A total of 47 depression patients participated in this study (22 in the urban forest therapy program group and 25 in the control group). The Beck Depression Inventory (BDI), the Hamilton Rating Scale for Depression (HRSD), the Pittsburgh Sleep Quality Index (PSQI), and the Patient Health Questionnaire-15 (PHQ-15) were administered to each participant to assess the effects of the urban forest therapy program. The results of this study revealed that depression patients in the urban forest therapy program had significantly alleviated depression symptoms and improved sleep quality and somatization symptoms compared to the control group. In conclusion, this study demonstrates the possibility that the urban forest therapy program could be used as an effective non-pharmacological treatment to alleviate depression disorder.

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Section: Discussionmentioning

confidence: 99%

Effects of Urban Forest Therapy Program on Depression Patients

Yeon

Kim

Kang

et al. 2022

IJERPH

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“…Regionally, in Jordan, Lebanon, Syria and Afghanistan, the cutoff point of 10 was used [ 24 – 27 ]. Similarly, in the UAE, studies have mostly used the cutoff point of 10 [ 28 – 31 ].…”

Section: Introductionmentioning

confidence: 99%

Sociodemographic predictors of the association between self-reported sleep duration and depression

Al Balushi,

Ahmad,

Al Balushi

et al. 2024

PLOS Glob Public Health

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A growing interest has been recently reported in exploring sleep duration within psychology context in particular to its relation to some mental chronic diseases such as depression. The aim of this study is to investigate the association between self-reported sleep hours as an outcome and self-perceived depression among Emirati adults, after adjusting for sociodemographic factors such as age, gender, marital status, and employment status. We performed a cross-sectional analysis using 11,455 participants baseline data of the UAE Healthy Future Study (UAEHFS). Univariate and multivariate logistic regression models were performed with self-reported sleep hours as an outcome. The predictors were the self-reported depression by measuring the PHQ-8 score, sociodemographic factors (age, gender, marital status, and employment status) Odds ratios with 95% confidence intervals (CI) were reported. In a sensitivity analysis, a multivariate imputation by chained equations (MICE) procedure was applied with classification and Regression Trees (CART) to impute missing values. Overall, 11,455 participants were included in the final analysis of this study. Participants’ median age was 32.0 years (Interquartile-Range: 24.0, 39.0). There were 6,217 (54.3%) males included in this study. In total, 4,488 (63.6%) of the participants reported sleep duration of more than 7 hours. Statistically significant negative association was observed between the total PHQ-8 score as a measure for depression and binarized self-reported sleep, OR = 0.961 (95% CI: 0.948, 0.974). For one unit increase in age and BMI, the odds ratio of reporting shorter sleep was 0.979 (95% CI: 0.969, 0.990) and 0.987 (95% CI: 0.977, 0.998), respectively. The study findings indicate a correlation between self-reported depression and an increased probability of individuals reporting shorter self-perceived sleep durations especially when considering the sociodemographic factors as predictors. There was a variation in the effect of depression on sleep duration among different study groups. In particular, the association between reported sleep duration and reported depression, students and unemployed individuals have reported longer sleep hours as compared to employed participants. Also, married individuals reported a higher percentage of longer sleep duration as compared to single and unmarried ones when examined reported depression as a predictor to sleep duration. However, there was no gender differences in self-perceived sleep duration when associated with reported depression.

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“…In a representative survey, the study found a strong correlation between changes in outdoor activity and changes in subjective well-being [ 9 ]. Al-Anouti et al conducted an online survey of 245 participants to assess the relationship between residents’ daytime and nighttime outdoor activity levels and mental health during the COVID-19 pandemic; the link between nighttime and better mental health may be attributable to vitamin D, but more in-depth research was needed to confirm it [ 10 ]. Outdoor play increases the risk of contracting or spreading the coronavirus.…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence Analysis of Outdoor Sports Risk Self-Assessment on Insurance Psychology

Chen

Dai

Tan

2023

IJERPH

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The development potential of China’s medical insurance market is huge, and the research on medical insurance demand has always been the focus of academic discussions. As a result, the discipline of behavioral economics is derived, which aims to explain the decision-making behavior of individual insurance consumption. Among them, the focus of this study was to investigate the influence of individual psychological characteristics and cognitive level on insurance behavior under the difference of reference points. This paper combined behavioral insurance, actuarial mathematics and the econometrics knowledge system, comprehensive theoretical analysis, and empirical tests and analyzed the impact mechanism of individual frame effect on medical insurance demand under different reference points at multiple levels. At the same time, based on the risk self-assessment of outdoor sports, the artificial intelligence of insurance psychology was analyzed. Based on the correlation vector machine algorithm and the theoretical basis combined with the dual perspective of insurance products, the expected utility model was established under the “guarantee framework”, and the prospect theoretical model was established under the “profit and loss framework”. The framing effect was used to measure the relative size of “guarantee utility” and “profit and loss utility”, and a high-insurance-rate model and a low-insurance-rate model were established. The theoretical model analysis found that under the high insurance rate, because the “profit and loss utility” is positive, the size of the individual frame effect is positively correlated with the willingness to insure. Under the low insurance rate, because the “profit and loss utility” is negative, the size of the individual frame effect is negatively correlated with the willingness to insure. The research results of this paper show that insurance is an important beginning of insurance consumption behavior, which includes the complex mentality and emotion of consumers on insurance activities. The insurance demand of policyholders is formed by the joint action of external and internal incentives. Many factors such as income level and education level play an important role in insurance consumption decision making.

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Outdoor Activity in the Daytime, but Not the Nighttime, Predicts Better Mental Health Status During the COVID-19 Curfew in the United Arab Emirates

Cited by 9 publications

References 68 publications

Effects of Urban Forest Therapy Program on Depression Patients

Effects of Urban Forest Therapy Program on Depression Patients

Sociodemographic predictors of the association between self-reported sleep duration and depression

Artificial Intelligence Analysis of Outdoor Sports Risk Self-Assessment on Insurance Psychology

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