Project description:BackgroundSocial communication via instant messaging (IM) and social networking (SN) apps makes up a large part of the time that smartphone users spend on their devices. Previous research has indicated that the excessive use of these apps is positively associated with problematic smartphone use behaviors. In particular, image-based SN apps, such as Instagram (Facebook Inc) and Snapchat (Snap Inc), have been shown to exert stronger detrimental effects than those exerted by traditional apps, such as Facebook (Facebook Inc) and Twitter (Twitter Inc).ObjectiveIn this study, we investigated the correlation between individuals' tendencies toward smartphone use disorder (SmUD) and objective measures of the frequency of smartphone usage. Additionally, we put to test the hypothesis that the pathway linking the frequency of actual smartphone usage to self-reported tendencies toward SmUD was mediated by the increased frequency of IM and SN app usage.MethodsWe recruited a sample of 124 adult smartphone users (females: 78/124, 62.9%; age: mean 23.84 years, SD 8.29 years) and collected objective information about the frequency of smartphone and SN app usage over 1 week. Participants also filled in a self-report measure for assessing the multiple components of tendencies toward SmUD. Bivariate associations were investigated by using Spearman correlation analyses. A parallel mediation analysis was conducted via multiple regression analysis.ResultsThe frequency of smartphone usage, as well as the use of IM apps (Messenger, Telegram, and WhatsApp [Facebook Inc]), Facebook, and image-based apps (Instagram and Snapchat), had significant positive associations with at least 1 component of SmUD, and the cyberspace-oriented relationships factor exhibited the strongest associations overall. We found support for an indirect effect that linked actual smartphone usage to SmUD tendencies via the frequency of the use of image-based SN apps.ConclusionsOur novel results shed light on the factors that promote SmUD tendencies and essentially indicate that image-based SN apps seem to be more strongly associated with problematic smartphone behaviors compared to IM apps and traditional SN apps, such as Facebook.
Project description:ObjectivePast work has shown that smartphone use has negative effects on well-being. Yet, most evidence relies on self-reported measures of smartphone use and comes from Western democracies. We examined the relationship between both self-reported and actual smartphone use and well-being in Pakistan, a country that is under-researched in the Global South. Additionally, we investigated the moderating effect of the fear of missing out (FoMO).MethodsWe conducted an online survey among 427 Pakistani citizens. Participants reported their smartphone use and well-being (i.e., levels of depression, loneliness, and life satisfaction). At the end of the survey, participants were asked to upload screenshots of their respective 'Screen Time' (for iOS) or 'Digital Well-being' (for Android) apps, which we used to measure their actual smartphone use.ResultsWe found a moderate association between self-reported and actual smartphone use (r = .36); on average, participants underreported their daily smartphone use by 11 min. Actual smartphone use was negatively associated with well-being, while self-reported use showed no statistically significant association. FoMO was positively associated with actual smartphone use but not with self-reported use. Finally, FoMO moderated the relationship between self-reported use and well-being.ConclusionOur findings show that the relationship between smartphone use and well-being depends on how smartphone use is measured and is moderated by FoMO. Moreover, we find that mobile data donation is viable in Pakistan, which should encourage future research to use it as a complement to self-reported media use more often.
Project description:IntroductionThis study assesses validity of self-report for the use of major classes of illicit drugs and opioid-maintenance therapy among pregnant women at a substance abuse treatment program.MethodsAnalyses used data collected from 83 pregnant women in a prospective cohort study at the University of New Mexico. Study participants with a history of substance abuse were screened and, if eligible, enrolled during an early prenatal care visit. A follow-up interview was conducted shortly after delivery. Self-reported information about drug use later in pregnancy was compared with urine drug screen (UDS) results collected during the third trimester. Simple kappa (k) and prevalence-and-bias-adjusted kappa (PABAK) coefficients were calculated as the measures of agreement. Sensitivity and specificity of self-report for each drug class were estimated using UDS as the 'gold standard'.ResultsThe sample included a large proportion of ethnic minority (80% Hispanic/Latina and 7% American Indian) and socially disadvantaged (50% less than high school education and 94% Medicaid-insured) pregnant women. On average, patients had 4.8 ± 3.0 urine drug screens during the third trimester. Sensitivity of self-report was low (<60%) for all classes of illicit drugs; however, marijuana and opioids demonstrated slightly higher sensitivity (57.9 and 58.3%, respectively) than other classes (<47%).ConclusionsThis study found substantial underreporting for all classes of illicit drugs among pregnant women in a substance abuse treatment program. Rates of underreporting are expected to be higher among the general population of pregnant women.
Project description:BackgroundMost clinical and epidemiologic estimates of prenatal cannabis use are based on self-report, and the validity of self-reported cannabis use has not been examined in a large, representative population of pregnant women. We determined the validity of self-reported prenatal cannabis use and predictors of nondisclosure using data from Kaiser Permanente Northern California's (KPNC) healthcare system with universal prenatal cannabis screening during prenatal care.MethodsValidation study using data from 281,025 pregnancies in KPNC among females aged ≥11 years who completed a self-administered questionnaire on prenatal cannabis use and a cannabis urine toxicology test from 2009 to 2017. We calculated sensitivity, specificity, positive predictive value, and negative predictive value of self-reported prenatal cannabis use using urine toxicology testing as the criterion standard, and sensitivity of urine toxicology testing using self-reported use as the criterion standard. We compared sociodemographics of those who disclosed versus did not disclose prenatal cannabis use.ResultsUrine toxicology testing identified more instances of prenatal cannabis use than self-report (4.9% vs 2.5%). Sensitivity of self-reported use was low (33.9%). Sensitivity of the toxicology test was higher (65.8%), with greater detection of self-reported daily (83.9%) and weekly (77.4%) than monthly or less use (54.1%). Older women, those of Hispanic race/ethnicity, and those with lower median neighborhood incomes were most likely to be misclassified as not using cannabis by self-reported screening.ConclusionsGiven that many women choose not to disclose prenatal cannabis use, clinicians should educate all prenatal patients about the potential risks and advise them to quit cannabis use during pregnancy.
Project description:BackgroundSelf-reported substance use is more likely to be influenced by underreporting bias compared to the biological markers. Underreporting bias or validity of self-reported substance use depends on the study population and cannot be generalized to the entire population. This study aimed to compare the validity of self-reported substance use between research setting and primary health care setting from the same source population.Methods and materialsThe population in this study included from Rafsanjan Youth Cohort Study (RYCS) and from primary care health centers. The sample from RYCS is made up 607 participants, 113 (18.62%) women and 494 (81.38%) men and sample from PHC centers is made up 522 individuals including 252 (48.28%) women and 270 (51.72%) men. We compared two groups in respect of prevalence estimates based on self-reported substance use and urine test. Then for evaluating validity of self-reported substance use in both group, the results of reference standard, urine tests, were compared with the results of self-reported drug use using measures of concordance.ResultsThe prevalence of substance use based on urine test was significantly higher in both settings compared to self-reported substance use over the past 72 h. The sensitivity of self-report substance use over the past 72 h in research setting was 39.4, 20, 10% and zero for opium, methadone, cannabis and amphetamine, respectively and in primary health care setting was 50, 20.7, 12.5% and zero for opium, methadone, cannabis and amphetamine, respectively. The level of agreement between self-reported substance use over the past 72 h and urine test indicated fair and moderate agreement for opium in both research and primary health care settings, respectively and also slight agreement for methadone and cannabis in both settings were reported. There was no significant difference between the two groups in terms of self-reported substance use. For all substances, the level of agreement increased with longer recall periods. The specificity of self-report for all substances in both groups was more than 99%.ConclusionIndividuals in primary health care setting were more likely to self-reported substance use than in research setting, but setting did not have a statistically significant effect in terms of self-reported substance use. Programs that rely on self-reported substance use may not estimate the exact prevalence of substance use in both research and primary health care settings, especially for substances that have a higher social stigma. Therefore, it is recommended that self-report and biological indicators be used for more accurate evaluation in substance use studies. It is also suggested that future epidemiological studies be performed to reduce bias of social desirability and find a method providing the highest level of privacy.
Project description:ObjectivesTo develop the novel self-reported spine functional scale (SSFS) and conduct reliability and validity analysis, so that the public can better understand their own spine function in a more simple and scientific way, so as to effectively prevent spinal disorders and improve the quality of life through targeted rehabilitation therapeutic measures.MethodsThis study was approved by an institutional review board, and all subjects gave informed consent to participate.Results(1) Using Spearman correlation analysis to evaluate the content validity, each item was significantly correlated with the total score, and the project design was reasonable. The exploratory factor analysis method is used to evaluate the structural validity of the scale, and the standing position and the lying position of the posture evaluation can be attributed to the factor 2, which is called posture evaluation: the cervical flexor strength, the flat support, the prone back, and the supine knee. The back arch of the wall and the angel on the wall is attributed to factor 1, called the overall spine function test, and the cumulative contribution rate of the two factors was 46.057%. Confirmatory factor analysis showed that the two-factor model fits well (χ2/df = 2.440, RMSEA = 0.04 < 0.05, GFI = 0.945, AGFI = 0.920, CFI = 0.967, IFI = 0.967, TLI = 0.951, GFI, AGFI, CFI, IFI, and TLI are > 0.90) and the validity is ideal. (2) The test-retest reliability shows that the test-retest reliability of each entry, each dimension, and the total score is greater than 0.5, and the test-retest reliability is high. The Cronbach α coefficient was used to evaluate the overall internal consistency of the scale, α > 0.70, indicating that the scale has high reliability. After deleting each item one by one, the α coefficient is 0.692-0.717, and there is no significant increase. (3) Sex and occupation did not affect the level of spinal function (P > 0.05), and there was interaction. Different BMI levels significantly affected the score of spinal function (P < 0.05). The rate of spinal dysfunction in overweight and obese subjects was significantly higher than the normal group; the overall score of spinal function was worse than the normal group.DiscussionThe reliability and validity analyses of this study verified the reliability and scientificity of SSFS in the young healthy population. Body weight had a significant influence on SSFS score, and the performance levels were different for the two sexes.ConclusionThe novel Self-Reported Spine Functional Scale (SSFS) has high reliability and validity and is applicable to the self-assessment and maintenance of spinal health and the prevention of related spinal disorders in the young healthy population. Body weight has a significant influence on the SSFS score in healthy young people. Overweight and obese males were found to be more likely to have spinal dysfunction, while underweight males displayed poor cervical flexor muscle strength. Underweight females were found to have better overall spinal function and stronger cervical flexor muscle strength.
Project description:Background: Sedentary behaviour guidelines recommend that individuals should regularly break up sitting time. Accurately monitoring such breaks is needed to inform guidelines concerning how regularly to break up sitting time and to evaluate intervention effects. We investigated the concurrent validity of three "UP4FUN child questionnaire" items assessing the number of breaks in sitting time among children and adolescents. Methods: Fifty-seven children and adolescents self-reported number of breaks from sitting taken at school, while watching TV, and during other screen time activities. Participants also wore an activPAL monitor (PAL Technologies, Glasgow, UK) to objectively assess the number of sitting time breaks (frequency/hour) during the school period and the school-free period (which was divided in the periods "after school" and "during the evening"). Concurrent validity was assessed using Spearman rank correlations. Results: Self-reported number of breaks/hour at school showed good concurrent validity (ρ = 0.676). Results were moderate to good for self-reported number of breaks/hour while watching TV (ρ range for different periods: 0.482 to 0.536) and moderate for self-reported number of breaks/hour in total screen time (ρ range for different periods: 0.377 to 0.468). Poor concurrent validity was found for self-reported number of breaks/hour during other screen time activities (ρ range for different periods: 0.157 to 0.274). Conclusions: Only the questionnaire items about number of breaks at school and while watching TV appear to be acceptable for further use in research focussing on breaks in prolonged sitting among children and adolescents.
Project description:ObjectiveTo compare physicians' self-reported willingness to provide new patient appointments with the experience of research assistants posing as either a Medicaid beneficiary or privately insured person seeking a new patient appointment.Data sources/study settingSurvey administered to California physicians and telephone calls placed to a subsample of respondents.Study designCross-sectional comparison.Data collection/extraction methodsAll physicians whose California licenses were due for renewal in June or July 2013 were mailed a survey, which included questions about acceptance of new Medicaid and new privately insured patients. Subsequently, research assistants using a script called the practices of a stratified random sample of 209 primary care physician respondents in an attempt to obtain a new patient appointment. By design, half of the physicians selected for the telephone validation reported on the survey that they accepted new Medicaid patients and half indicated that they did not.Principal findingsThe percentage of callers posing as Medicaid patients who could schedule new patient appointments was 18 percentage points lower than the percentage of physicians who self-reported on the survey that they accept new Medicaid patients. Callers were also less likely to obtain appointments when they posed as patients with private insurance.ConclusionsPhysicians overestimate the extent to which their practices are accepting new patients, regardless of insurance status.
Project description:ObjectiveThis short communication investigates the usefulness of time-use measures to validate subjective health measures such as self-reported health (SRH). It does this by examining time-use patterns and SRH among middle-age adults in the United States distinguished by race/ethnicity and with additional attention to differences in responses based on language of interview for Hispanics.MethodsData for this study come from the 2013-2016 American Time Use Survey. We calculated average time-use for personal care; housework; paid work; leisure; volunteering/travel; caregiving; and education for every racial/ethnic group differentiating by SRH for 27,063 adults aged 25-64 years. A series of ANOVAs were computed to assess differences in time-use by SRH.ResultsNon-Hispanic whites and non-Hispanic Blacks who reported poor/fair SRH spent more time in personal care and leisure, and less time in paid work, volunteering/travel, caregiving and education, in comparison to those who reported Excellent/Very Good/Good SRH. Among Hispanics, differences by SRH were found for personal care, paid work, leisure and volunteering/travel. Hispanics who answered in English displayed partially similar patterns in SRH found for non-Hispanic whites and Blacks. Hispanics who answered in Spanish demonstrated differences in SRH in the areas of paid work, leisure and education, diverging from the other groups.ConclusionsTime-use differences by health status are consistent between non-Hispanic whites, non-Hispanic blacks, but not so for Hispanics. To some extent, Hispanics who answered in English have more comparable patterns to non-Hispanic whites and non-Hispanic Blacks than Spanish respondents. Caution should be exercised when self-reported health measures are used to compare diverse samples collected with surveys that are administered in different languages.
Project description:BackgroundSelf-reported data are widely used in substance-use research, yet few studies have assessed the validity of self-reported methamphetamine use compared to biological assays.ObjectivesWe sought to assess the validity and correlates of validity of self-reported methamphetamine use compared to urine toxicology (UTOX).MethodsUsing a sample of methamphetamine-dependent individuals enrolled in a randomized controlled pharmacotherapy trial in the United States (n = 327 visits among 90 participants), we calculated sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and the kappa coefficient of self-reported methamphetamine use in the past 3 days compared to UTOX, as well as the NPV of self-reported methamphetamine use over an extended recall period of 1 month. We used multivariable logistic regression models to assess correlates of concordance between self-reported methamphetamine use and UTOX.ResultsThe sensitivity of self-reported methamphetamine use in the past 3 days was 86.7% (95% confidence intervals (95%CI): 81.4%-91.4%), the specificity was 85.3% (77.7-91.3), the PPV was 91.5% (86.9-94.8), and the NPV was 78.0% (69.4-86.1), compared to UTOX (kappa = 0.71). The NPV over the extended recall period was 70.6% (48.0-85.7). In multivariable analyses, validity of self-reported methamphetamine use was higher for older participants but lower during follow-up compared to baseline and when polysubstance use or depressive symptoms were reported. Conclusions/Importance: Our sample of methamphetamine-dependent adults reported recent methamphetamine use with high validity compared to UTOX. Validity increased with age but decreased when participants reported depressive symptoms or polysubstance use as well as later in the study timeline and during longer recall periods.