Dataset Information

Understanding CAM Use in Lebanon: Findings from a National Survey.

ABSTRACT: The main objective of this study was to identify predictors of Complementary and Alternative Medicine (CAM) use in Lebanon. Data for this study were drawn from a national survey conducted among Lebanese adults (n=1500). A modified version of the Social Behavioral Model (SBM) was used to understand CAM use in the study population. In this version, predisposing factors included sociodemographic characteristics (age, gender, education, and employment) and Push and Pull factors. Additionally, enabling resources included income, and medical need encompassed presence of chronic disease and perceived health status. Simple and multiple logistic regressions were used to examine the predictors of CAM use in the study population. Results of the multiple logistic regression showed that younger and older adults were less likely to use CAM as compared to middle-aged respondents. The Push factor "dissatisfaction with conventional medicine" was associated with higher odds of CAM use. For three of the six Pull factors, compared to participants who strongly disagreed, those who had a tendency of taking care of one's health were more likely to use CAM. Income and presence of chronic disease were also associated with higher odds of CAM use. The findings of this study affirmed the utility of the SBM in explaining the use of CAM and proposed a new version of this model, whereby the Push and Pull factors are integrated within the predisposing factors of this model.

SUBMITTER: Kharroubi S

PROVIDER: S-EPMC6083547 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Understanding CAM Use in Lebanon: Findings from a National Survey.

Kharroubi Samer S Chehab Rana F RF El-Baba Chirine C Alameddine Mohamad M Naja Farah F

Evidence-based complementary and alternative medicine : eCAM 20180725

The main objective of this study was to identify predictors of Complementary and Alternative Medicine (CAM) use in Lebanon. Data for this study were drawn from a national survey conducted among Lebanese adults (n=1500). A modified version of the Social Behavioral Model (SBM) was used to understand CAM use in the study population. In this version, predisposing factors included sociodemographic characteristics (age, gender, education, and employment) and <i>Push</i> and <i>Pull</i> factors. Additi ...[more]

PMID: 30147730

Similar Datasets

Project description:ObjectivesTo describe public understanding and use of antibiotics.DesignIpsos MORI Capibus survey of randomly-selected households.SettingEngland, January-April 2017.Participants2283 adults (≥15 years) including 777 parents of children <5 years old.Data collection and analysisThe main survey was undertaken in January 2017 (n=1691); data from an additional sample of parents were collected in April 2017 (n=592). Analyses were weighted to obtain estimates representative of the population.Main outcome measuresResponses to questions about antibiotics (awareness and perceptions), recent illness (expectations and experience), delayed and leftover antibiotics, and child illness stratified by demographic and socioeconomic characteristics.ResultsMost respondents (83% (1404/1691)) recognised that antibiotics kill bacteria/treat bacterial infections, but a sizeable minority (35% (592/1691)) thought that antibiotics kill viruses/treat viral infections. Overall levels of understanding have not changed substantially since similar surveys in 2003 and 2008/2009. One sixth of respondents who were prescribed antibiotics reported having leftovers (14% (64/498)) and 33% (22/64) kept these for possible future use. 1.3% of all respondents (23/1691) reported taking left-over antibiotics in the past year and 1.6% (26/1691) reported taking antibiotics obtained without a prescription. Higher social grade and educational qualifications were strongly positively associated with antibiotic knowledge; youngest (15-24 years), oldest (65 +years) and black, Asian and minority ethnic adults were less knowledgeable. Among 1319 respondents who had an infection or antibiotics within the past year, 43% (568/1319) said that they had not received any advice or information about antibiotics.ConclusionsDespite many campaigns, public understanding of antibiotics in England continues to combine correct basic knowledge held by most people with less prevalent but persistent and potentially harmful misunderstandings. These could be addressed through active provision of advice and information during primary and secondary care consultations and more effective public health interventions.

Project description:The number of social media users has increased substantially in the past decade, creating an opportunity for health-care professionals and patients to leverage social media for health communication. This study examines the recent use and predictors of social media for health communication in a nationally representative sample of US adults over time. We used 2013, 2014, and 2017 National Cancer Institute's Health Information National Trends Survey to identify respondents' use of social media for sharing health information or exchanging medical information with a health-care professional. We conducted bivariate analysis using the Pearson χ2 test to assess the association of respondents' basic demographic characteristics as well as health status and the use of social media for health communication. We performed multivariable logistic regression models to examine factors associated with the use of social media for health communication. We identified 4242 respondents (weighted sample size: 343 465 241 [2-year pooled sample]) who used social media for sharing health information and 4834 respondents (weighted sample size: 354 419 489 [2-year pooled sample]) who used social media for exchanging medical information. Multivariable analyses indicated the proportion of respondents who used social media for sharing health information has decreased (odds ratio [OR], 0.65; 95% confidence interval [CI], 0.49-0.85, P = .002), while the use of social media for exchanging medical information with a health-care professional has increased (OR, 1.88; 95% CI, 1.09-3.26, P = .025). The younger population had significantly higher odds of using social media for health communication. The study found no racial/ethnic disparities in the use of social media for health communication. Use of social media for sharing health information has declined, while exchanging medical information with health-care professionals has increased. Future research is needed to determine how to engage the population in social media-based health interventions, particularly for older adults.

Project description:To examine whether a first abortion increases risk of mental health disorders compared with a first childbirth with and without considering prepregnancy mental health and adverse exposures, childhood economic status, miscarriage history, age at first abortion or childbirth, and race or ethnicity.A cohort study compared rates of mental disorders (anxiety, mood, impulse-control, substance use, eating disorders, and suicidal ideation) among 259 women postabortion and 677 women postchildbirth aged 18-42 years at the time of interview from The National Comorbidity Survey-Replication.The percentage of women with no, one, two, and three or more mental health disorders before their first abortion was 37.8%, 19.7%, 15.2%, and 27.3% and before their first childbirth was 57.9%, 19.6%, 9.2%, and 13.3%, respectively, indicating that women in the abortion group had more prior mental health disorders than women in the childbirth group (P<.001). Although in unadjusted Cox proportional hazard models, abortion compared with childbirth was associated with statistically significant higher hazards of postpregnancy mental health disorders, associations were reduced and became nonstatistically significant for five disorders after adjusting for the aforementioned factors. Hazard ratios and associated 95% confidence intervals dropped from 1.52 (1.08-2.15) to 1.12 (0.87-1.46) for anxiety disorders; from 1.56 (1.23-1.98) to 1.18 (0.88-1.56) for mood disorders; from 1.62 (1.02-2.57) to 1.10 (0.75-1.62) for impulse-control disorders; from 2.53 (1.09-5.86) to 1.82 (0.63-5.25) for eating disorders; and from 1.62 (1.09-2.40) to 1.25 (0.88-1.78) for suicidal ideation. Only the relationship between abortion and substance use disorders remained statistically significant, although the hazard ratio dropped from 3.05 (1.94-4.79) to 2.30 (1.35-3.92).After accounting for confounding factors, abortion was not a statistically significant predictor of subsequent anxiety, mood, impulse-control, and eating disorders or suicidal ideation. LEVEL OF EVEDIENCE: II.

Dataset Information

Understanding CAM Use in Lebanon: Findings from a National Survey.

Publications

Understanding CAM Use in Lebanon: Findings from a National Survey.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets