ORCID Profile
0000-0002-7713-9524
Current Organisation
Curtin University
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Publisher: JMIR Publications Inc.
Date: 17-02-2022
DOI: 10.2196/27337
Abstract: Poor diet, alcohol use, and tobacco smoking have been identified as strong determinants of chronic diseases, such as cardiovascular disease, diabetes, and cancer. Smartphones have the potential to provide a real-time, pervasive, unobtrusive, and cost-effective way to measure these health behaviors and deliver instant feedback to users. Despite this, the validity of using smartphones to measure these behaviors is largely unknown. The aim of our review is to identify existing smartphone-based approaches to measure these health behaviors and critically appraise the quality of their measurement properties. We conducted a systematic search of the Ovid MEDLINE, Embase (Elsevier), Cochrane Library (Wiley), PsycINFO (EBSCOhost), CINAHL (EBSCOHost), Web of Science (Clarivate), SPORTDiscus (EBSCOhost), and IEEE Xplore Digital Library databases in March 2020. Articles that were written in English reported measuring diet, alcohol use, or tobacco use via a smartphone and reported on at least one measurement property (eg, validity, reliability, and responsiveness) were eligible. The methodological quality of the included studies was assessed using the Consensus-Based Standards for the Selection of Health Measurement Instruments Risk of Bias checklist. Outcomes were summarized in a narrative synthesis. This systematic review was registered with PROSPERO, identifier CRD42019122242. Of 12,261 records, 72 studies describing the measurement properties of smartphone-based approaches to measure diet (48/72, 67%), alcohol use (16/72, 22%), and tobacco use (8/72, 11%) were identified and included in this review. Across the health behaviors, 18 different measurement techniques were used in smartphones. The measurement properties most commonly examined were construct validity, measurement error, and criterion validity. The results varied by behavior and measurement approach, and the methodological quality of the studies varied widely. Most studies investigating the measurement of diet and alcohol received very good or adequate methodological quality ratings, that is, 73% (35/48) and 69% (11/16), respectively, whereas only 13% (1/8) investigating the measurement of tobacco use received a very good or adequate rating. This review is the first to provide evidence regarding the different types of smartphone-based approaches currently used to measure key behavioral risk factors for chronic diseases (diet, alcohol use, and tobacco use) and the quality of their measurement properties. A total of 19 measurement techniques were identified, most of which assessed dietary behaviors (48/72, 67%). Some evidence exists to support the reliability and validity of using smartphones to assess these behaviors however, the results varied by behavior and measurement approach. The methodological quality of the included studies also varied. Overall, more high-quality studies validating smartphone-based approaches against criterion measures are needed. Further research investigating the use of smartphones to assess alcohol and tobacco use and objective measurement approaches is also needed. RR2-0.1186/s13643-020-01375-w
Publisher: JMIR Publications Inc.
Date: 21-01-2021
Abstract: oor diet, alcohol use, and tobacco smoking have been identified as strong determinants of chronic diseases, such as cardiovascular disease, diabetes, and cancer. Smartphones have the potential to provide a real-time, pervasive, unobtrusive, and cost-effective way to measure these health behaviors and deliver instant feedback to users. Despite this, the validity of using smartphones to measure these behaviors is largely unknown. he aim of our review is to identify existing smartphone-based approaches to measure these health behaviors and critically appraise the quality of their measurement properties. e conducted a systematic search of the Ovid MEDLINE, Embase (Elsevier), Cochrane Library (Wiley), PsycINFO (EBSCOhost), CINAHL (EBSCOHost), Web of Science (Clarivate), SPORTDiscus (EBSCOhost), and IEEE Xplore Digital Library databases in March 2020. Articles that were written in English reported measuring diet, alcohol use, or tobacco use via a smartphone and reported on at least one measurement property (eg, validity, reliability, and responsiveness) were eligible. The methodological quality of the included studies was assessed using the Consensus-Based Standards for the Selection of Health Measurement Instruments Risk of Bias checklist. Outcomes were summarized in a narrative synthesis. This systematic review was registered with PROSPERO, identifier CRD42019122242. f 12,261 records, 72 studies describing the measurement properties of smartphone-based approaches to measure diet (48/72, 67%), alcohol use (16/72, 22%), and tobacco use (8/72, 11%) were identified and included in this review. Across the health behaviors, 18 different measurement techniques were used in smartphones. The measurement properties most commonly examined were construct validity, measurement error, and criterion validity. The results varied by behavior and measurement approach, and the methodological quality of the studies varied widely. Most studies investigating the measurement of diet and alcohol received i very good /i or i adequate /i methodological quality ratings, that is, 73% (35/48) and 69% (11/16), respectively, whereas only 13% (1/8) investigating the measurement of tobacco use received a i very good /i or i adequate /i rating. his review is the first to provide evidence regarding the different types of smartphone-based approaches currently used to measure key behavioral risk factors for chronic diseases (diet, alcohol use, and tobacco use) and the quality of their measurement properties. A total of 19 measurement techniques were identified, most of which assessed dietary behaviors (48/72, 67%). Some evidence exists to support the reliability and validity of using smartphones to assess these behaviors however, the results varied by behavior and measurement approach. The methodological quality of the included studies also varied. Overall, more high-quality studies validating smartphone-based approaches against criterion measures are needed. Further research investigating the use of smartphones to assess alcohol and tobacco use and objective measurement approaches is also needed. R2-0.1186/s13643-020-01375-w
Publisher: Wiley
Date: 06-2022
DOI: 10.1111/ASPP.12658
Abstract: This article examines how participation and mobilization of youth in politics has led to an unintended consequence: youth‐led violence. We define youth‐led violence as a particular form of political violence that emerged from an interplay between political power, domination, and rent‐seeking behavior. To elaborate on youth‐led violence between 1990 and 2018 in Nepal, we identified and analyzed push and pull factors that explain the dynamics and dimensions of why youth participate in politics and how it creates a condition where political violence is accepted and normalized.
Publisher: Elsevier BV
Date: 2022
Publisher: JMIR Publications Inc.
Date: 27-04-2022
Abstract: hysical inactivity is a preventable risk factor for several chronic diseases and one of the driving forces behind the growing global burden of disease. Recent evidence has shown that interventions using mobile smartphone applications (apps) can promote a significant increase in physical activity (PA) levels. However, the accuracy and reliability of using apps is unknown. he aim of our review is to determine the accuracy and reliability of using mobile apps to measure PA levels in young people. We conducted a systematic review guided by PRISMA. tudies published from 2007 to 2020 were sourced from eight databases (Ovid MEDLINE, Embase (Elsevier), Cochrane Library (Wiley), PsychINFO (EBSCOhost), CINAHL (EBSCOHost), Web of Science (Clarivate), SPORTDiscus (EBSCOhost), and IEEE Xplore Digital Library database). Studies conducted in young people, aged 10-24 years without chronic illness that evaluated a mobile app’s ability to measure PA. Primary outcomes include validity, reliability and/or responsiveness of the measurement approach. Duplicate screening was conducted for eligibility, data extraction and assessing the risk of bias. Results are reported as a systematic review. The main outcome measures assessed were: total PA time (mins/day or mins/week), total moderate-vigorous PA per week, daily step count, intensity measure (heart rate), and frequency measure (days per week). f the 149 identified studies, five met inclusion criteria (n=322 participants, 58% female mean age 14±3 years). Three studies measured criterion validity and compared PA measured via apps against an Actigraph accelerometer. The two studies that reported on construct validity reported a significant difference between self-reported PA and the objective measure. Only one of the five apps examined is available to the public, and though this app was highly accepted by young people, the app recorded PA to be significantly different to participants’ self-reported PA. verall, few studies assess the reliability, validity and responsiveness of mobile apps to measure PA in healthy young people, with studies typically only reporting on one measurement property. Of the three studies that measured validity, all concluded mobile phones to be an acceptable and valid tool. More research is needed into the validity and reliability of smart-phone apps to measure PA levels in this population, as well as populations with other characteristics, including age groups and those with chronic disease. ystematic review registration: PROSPERO CRD42019122242.
Publisher: JMIR Publications Inc.
Date: 26-04-2022
DOI: 10.2196/39085
Abstract: Physical inactivity is a preventable risk factor for several chronic diseases and one of the driving forces behind the growing global burden of disease. Recent evidence has shown that interventions using mobile smartphone apps can promote a significant increase in physical activity (PA) levels. However, the accuracy and reliability of using apps is unknown. The aim of our review was to determine the accuracy and reliability of using mobile apps to measure PA levels in young people. We conducted a systematic review guided by PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). Studies published from 2007 to 2020 were sourced from 8 databases—Ovid MEDLINE, Embase (Elsevier), Cochrane Library (Wiley), PsychINFO (EBSCOhost), CINAHL (EBSCOhost), Web of Science (Clarivate), SPORTDiscus (EBSCOhost), and IEEE Xplore Digital Library database. Studies were conducted in young people aged 10-24 years and without chronic illnesses, who evaluated a mobile app’s ability to measure PA. Primary outcomes included validity, reliability, and responsiveness of the measurement approach. Duplicate screening was conducted for eligibility, data extraction, and assessing the risk of bias. Results were reported as a systematic review. The main physical activity measures evaluated for each study were the following: total PA time (min/day or min/week), total moderate to vigorous PA per week, daily step count, intensity measure (heart rate), and frequency measure (days per week). Of the 149 identified studies, 5 met the inclusion criteria (322 participants, 176 female mean age 14, SD 3 years). A total of 3 studies measured criterion validity and compared PA measured via apps against PA measured via an Actigraph accelerometer. The 2 studies that reported on construct validity identified a significant difference between self-reported PA and the objective measure. Only 1 of the 5 apps examined was available to the public, and although this app was highly accepted by young people, the app recorded PA to be significantly different to participants’ self-reported PA. Overall, few studies assess the reliability, validity, and responsiveness of mobile apps to measure PA in healthy young people, with studies typically only reporting on one measurement property. Of the 3 studies that measured validity, all concluded that mobile phones were acceptable and valid tools. More research is needed into the validity and reliability of smartphone apps to measure PA levels in this population as well as in populations with other characteristics, including other age groups and those with chronic diseases. PROSPERO CRD42019122242 www.crd.york.ac.uk rospero/display_record.php?RecordID=122242
Publisher: SAGE Publications
Date: 04-2019
Abstract: Social, economic and political injustice promotes violence among youth. Political parties involved in Nepali democratic upheavals resort to violence this is where youth are portrayed as major actors in performing violent acts. Youths have always taken part in these political struggles. Political parties have used facts that relate to people suffering from various miseries as a means of manoeuvring and mobilizing youth to participate in armed struggles and uprisings. One would expect these violent episodes to have decreased as the country is now transitioning from armed conflict towards a sustainable peace, but instead post-war Nepal has been continuously facing challenges that youth are posing through their violent behaviours. Addressing issues of unemployment, a corrupt political culture, nepotism and inappropriate political socialization are factors which require urgent responses with political commitment to stop youth participation in political violence. One way to realize this would be to encourage youth engagement in positive peace-building endeavours in Nepal.
No related grants have been discovered for Courtney Stewart.