فهرست مطالب
Journal of Research in Health Sciences
Volume:23 Issue: 3, Summer 2023
- تاریخ انتشار: 1402/07/16
- تعداد عناوین: 8
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Page 1Background
After the difficulty of the pandemic process, managing the long-term effects that may occur after the coronavirus disease 2019 (COVID-19) is among the biggest concerns in the present era. This study aimed to explore factors affecting the physical activity level and investigate the relationship between physical activity level and stress perception of university students during the COVID-19 pandemic.
Study Design:
A cross-sectional study.
MethodsStudy data were collected via online survey, and volunteer participants completed the survey through the survey link between October 21 and December 31, 2021. Physical activity level was evaluated by “The International Physical Activity Questionnaire- Short Form” (IPAQ-SF), and stress level was evaluated by “Perceived Stress Scale” (PSS). The participants were asked questions about barriers and motivators for physical activity before and during the pandemic.
ResultsThe study included 444 participants (81.3% female and 18.7% male) with an average age of 21±2.95 years. The results showed a negative-significant linear relationship between perceived stress score and total physical activity, vigorous-intensity physical activity, and walking scores (r=-0.157, P<0.01; r=-0.16, P<0.01; r=-0.13, P<0.05 respectively). During the pandemic, the perception of insufficient finance became less important as a barrier (P=0.029), and healthcare professional (HCP) recommendation became more important as a motivator for physical activity than the pre-pandemic conditions (P=0.035).
ConclusionThe findings indicated that it is possible to reduce the level of perceived stress by increasing the level of physical activity. Current research will be a key for increasing and maintaining physical activity and reducing perceived stress.
Keywords: Physical activity, Perceived stress, Pandemics, Barrier, Motivation, COVID-19 -
Page 2Background
This study was designed to find the best statistical approach to scorpion sting predictions.
Study Design:
A retrospective study.
MethodsMultiple regression, seasonal autoregressive integrated moving average (SARIMA), neural network autoregressive (NNAR), and hybrid SARIMA-NNAR models were developed to predict monthly scorpion sting cases in El Oued province. The root mean square error (RMSE), mean absolute error (MAE), and mean absolute percentage error (MAPE) were used to quantitatively compare different models.
ResultsIn general, 96909 scorpion stings were recorded in El Oued province from 2005-2020. The incidence rate experienced a gradual decrease until 2012 and since then slight fluctuations have been noted. Scorpion stings occurred throughout the year with peaks in September followed by July and August and troughs in December and January. Sting cases were not evenly distributed across demographic groups; the most affected age group was 15-49 years, and males were more likely to be stung. Of the reported deaths, more than half were in children 15 and younger. Scorpion’s activity was conditioned by climate factors, and temperature had the highest effect. The SARIMA(2,0,2)(1,1,1)12, NNAR(1,1,2)12, and SARIMA(2,0,2)(1,1,1)12-NNAR(1,1,2)12 were selected as the best-fitting models. The RMSE, MAE, and MAPE of the SARIMA and SARIMA-NNAR models were lower than those of the NNAR model in fitting and forecasting; however, the NNAR model could produce better predictive accuracy.
ConclusionThe NNAR model is preferred for short-term monthly scorpion sting predictions. An in-depth understanding of the epidemiologic triad of scorpionism and the development of predictive models ought to establish enlightened, informed, better-targeted, and more effective policies.
Keywords: El Oued province, Neural network autoregressive model, Prediction, SARIMA model, Scorpion sting -
Page 3Background
Intentional injuries, including self-harm, suicide, conflict, and interpersonal violence are a significant public health concern in Iran, but they have not been adequately documented. This study aimed to investigate intentional injuries in cases admitted to Sina Hospital in Tehran, Iran, affiliated with the National Trauma Registry of Iran.
Study Design:
A retrospective cohort study.
MethodsA registry-based study on the characteristics of 852 intentional injury cases was conducted from 2016 to 2023. Information on various aspects, including baseline characteristics, injury characteristics, and injury outcomes was compared between groups of self-harm/suicide, conflict/interpersonal violence, and others (abuse and legal prosecution).
ResultsOf 6,692 registered trauma cases, 852 (12.7%) had intentional injuries. Men accounted for 92 (77.3%) self-harm/suicide and 650 (96.4%) conflict/interpersonal violence cases (P<0.001). Self-harm/ suicide mostly occurred at home in 89 (74.8%) cases, while 73 (10.8%) conflict/interpersonal violence cases happened at home (P<0.001). Falls were the cause of trauma in 12 (10.1%) self-harm/suicide cases compared to 7 (1.0%) conflict/interpersonal violence cases (P<0.001). Furthermore, blunt trauma was the cause of trauma in one (0.8%) case of self-harm/suicide and 66 (9.8%) conflict/interpersonal violence cases (P<0.001). Moreover, 14 (11.8%) self-harm/suicide and 34 (5.0%) conflict/interpersonal violence cases required ventilation (P=0.010). Additionally, 74 (8.7%) intentional injury cases had multiple traumas, which were seen in nine (7.6%) self-harm/suicide and 58 (8.6%) conflict/interpersonal violence cases (P<0.001).
ConclusionMen were the majority of self-harm/suicide and conflict/interpersonal violence cases. Self-harm/suicide incidents mostly occurred at home and resulted in more injuries from falls, while conflict/ interpersonal violence resulted in increased blunt traumas and multiple traumas.
Keywords: Registries, Self-injurious behavior, Suicide, Violence, Iran -
Page 4Background
This study was conducted to determine the mortality rate and the years of life lost (YLL) due to unintentional poisoning in Fars province in the south of Iran.
Study Design:
A cross-sectional study.
MethodsIn this study, data from all of the deaths due to unintentional poisoning in the south of Iran between 2004 and 2019 was extracted from the population-based Electronic Death Registry System (EDRS). The Joinpoint Regression method was used to examine the trend of the crude mortality rate, the age-standardized mortality rate (ASMR), and the YLL rate.
ResultsDuring the 16-year study period (2004-2019), 1466 deaths due to poisoning occurred in Fars province. Of this number, 75.2% (1103 cases) were in men, and 37.5% (550 cases) were in the age group of 15-29 years. The total YLL due to poisoning during the 16-year study period were 25149 and 8392 in men and women, respectively. According to the joinpoint regression analysis, the 16-year trend of YLL rate due to premature mortality was stable. Moreover, the annual percent change (APC) was -0.7% (95% CI: -4.0 to 2.7, P=0.677) for males and - 0.3% (95% CI: -3.8 to 3.3, P=0.862) for females.
ConclusionThe trend of crude mortality rate, ASMR and YLL due to unintentional poisonings was stable. Considering the high rate of mortality and YLL due to unintentional poisoning in the age group of 15-29 years, it is essential to take necessary actions in this age group.
Keywords: Unintentional poisoning, Mortality rate, Years of life lost, Joinpoint regression, Iran -
Page 5Background
Colorectal cancer (CRC) is the third most prevalent cancer in Iran. This study aimed to assess the level of awareness regarding CRC warning signs, risk factors, screening program, and related factors among adults in North-Eastern Iran.
Study Design:
A cross-sectional study.
MethodsThe multi-stage sampling method was used to survey 2614 participants attending primary healthcare centers in Mashhad, Iran. The data collection tools were the demographics section and Bowel/ CRC Awareness Measure (Bowel/Colorectal CAM). The data were analyzed by SPSS, version 25. The significance level of the data analysis was less than 0.05.
ResultsMean awareness for CRC warning signs and CRC risk factors were 2.85±2.13 and 3.63±1.85, respectively. Most participants (97.2%) had no awareness of the CRC screening program. There was a significant association between marital status, education, job, income, and family history of CRC with awareness of warning signs (P<0.001); moreover, there was a significant association between age, education, job, income, and family history of CRC with awareness of risk factors (P<0.001). The results of logistic regression indicated that there was a significant association between age (P=0.022, OR=1.794, 95% confidence interval [CI]: 1.087, 2.962), gender (P=0.005, OR=0.488, 95% CI: 0.296, 0.803) and warning sign awareness (P<0.001, OR=1.278, 95% CI: 1.124, 1.454) with awareness of the CRC screening program.
ConclusionIn this study, most of the participants had low awareness of CRC. More aimed educational interventions are needed to promote Iranian adults’ awareness of CRC.
Keywords: Colorectal neoplasms, Awareness, Signs, symptoms, Risk factors, Cancer screening -
Page 6Background
Substance use is recognized as an important factor associated with many diseases and premature deaths and the main risk factor for disability worldwide. This study aims to identify subgroups of substance use in adults and detect the effect of imprisonment on the membership of participants in latent classes of substance use.
Study Design:
A cross-sectional study.
MethodsThis study was performed on 930 adult people who were referred to behavioral health counseling centers in Tehran province. All participants completed some checklists and questionnaires. Data analysis was performed using chi-square, Fisher’s exact test, and latent class analysis (LCA).
ResultsFour latent classes were identified, including non-users (58%), cigarette smokers (11.6%), users of low stigma substances (27.4%), and drug users (3.1%). After adjusting for other studied variables, having a history of imprisonment increased the odds of membership in the cigarette smoker class (Odds ratio [OR]=5.82, 95%, confidence interval [CI]: 3.19-10.63) and drug user class (OR=53.59, 95% CI: 18.00- 159.52) compared to non-user class. Among all participants, 84 (9.0%) had a history of imprisonment.
ConclusionResults from the present study indicate that 30.5% of the participants fell under the user of the low-stigma substance or drug user group. Focusing on increasing prisoner’s knowledge of the dangers of using different substances and considering various programs for prisoners’ leisure time may help reduce substance use prevalence.
Keywords: Substance use, Latent class analysis, Prisoners, Illicit drugs -
Page 7Background
Sleep is a necessary physiological process that affects health. The current study aimed to evaluate sleep quality (SQ) and the related factors in Iranian community-dwelling adults.
Study Design:
A cross-sectional study.
MethodPopulation-based cross-sectional data from the first wave of the Ardakan cohort study on aging (ACSA) were analyzed. The analytical sample consisted of 5197 community-dwelling adults aged≥50. All data were collected by trained staff. Pittsburgh Sleep Quality Index (PSQI) scores were used to measure SQ. Univariable and multivariable logistic regression were used to identify predictors of SQ.
ResultsThe mean age of the participants was 62.22±7.7 years, and 51.8% were female. About threequarters of them (76.36%) were found to have poor SQ (PSQI score≥5). Multivariable logistic regression analysis revealed a relationship between SQ and gender, education, work, and financial level. Furthermore, SQ was found to be associated with self-reported health and physical activity. Regarding comorbidity, SQ had a significant relationship with cardiovascular diseases, musculoskeletal diseases, depression, and anxiety (P<0.05).
ConclusionThe prevalence of poor SQ was high in these community-dwelling adults in Iran. These findings highlight the importance of intervention programs for sleep hygiene education and screening for middle-aged and older adults.
Keywords: Sleep quality, Sleep duration, Geriatric assessment, Depression, Iran -
Page 8Background
Pattern recognition of pedestrians’ traffic behavior can enhance the management efficiency of interested groups by targeting access to them and facilitating planning via more specific surveys. This study aimed to evaluate the pedestrians’ traffic behavior pattern by fuzzy clustering algorithm and assess the factors related to higher-risk traffic behavior of pedestrians.
Study Design:
This study is a secondary methodological study based on the data from a cross-sectional study.
MethodsThe fuzzy c-means (FCM), as a machine learning clustering method, was conducted to identify the pattern of traffic behaviors by collecting data from 600 pedestrians in Urmia, Iran via “the Pedestrian Behavior Questionnaire” (PBQ) and using 5 domains of PBQ. Multiple logistic regression was fitted to identify risk factors of traffic behaviors.
ResultsResults revealed two clusters consisting of lower-risk and higher-risk behaviors. The majority of pedestrians (64.33%) were in the lower-risk cluster. Subjects≤33 years old (Odds ratio [OR]=1.92, P<0.001), subjects with≤6 years of education (OR=1.74, P=0.010), males (OR=1.90, P=0.001), unmarried pedestrians (OR=3.61, P=0.007), and users of public transportation (OR=2.01, P=0.002) were more likely to have higher-risk traffic behavior.
ConclusionWe identified traffic behavior patterns of Urmia pedestrians with lower-risk and higher-risk behaviors via FCM. The findings from this study would be helpful for policymakers to promote safety measures and train pedestrians.
Keywords: Machine learning, Fuzzy, Cluster analyses, Behavior, Traffic crashes