Social Problems: The Limits and Strengths of the Social Constructionist Perspective

Conner, Christopher T.

doi:10.1002/symb.125

Cited by 2 publications

(3 citation statements)

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“…These include care center accessibility and outpatient mobility and morbidity, comprehensibility, and retainability [ 5 ]. For these reasons, lifestyle risk factor management (particularly low physical activity [PA] and obesity) remains suboptimally addressed in CVD outpatients [ 6 ]. These show that although there is a modest success with rehabilitation care center interventions, the technical reach of this population-based approach is limited in its ability to bring about a significant sustainable change in exposed individuals [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

“…Their substantial contribution to changes in health behaviors suggests a worthy consideration in behavioral health interventions at the individual level. However, in the context of a population-based health behavior change in rehabilitation care centers, there are limitations in the ability of social constructs to make an individual cope sustainably with its strategies at the personal level [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

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Digital Technology Interventions for Risk Factor Modification in Patients With Cardiovascular Disease: Systematic Review and Meta-analysis

Akinosun

Polson

Diaz-Skeete

et al. 2021

JMIR Mhealth Uhealth

107

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Background Approximately 50% of cardiovascular disease (CVD) cases are attributable to lifestyle risk factors. Despite widespread education, personal knowledge, and efficacy, many individuals fail to adequately modify these risk factors, even after a cardiovascular event. Digital technology interventions have been suggested as a viable equivalent and potential alternative to conventional cardiac rehabilitation care centers. However, little is known about the clinical effectiveness of these technologies in bringing about behavioral changes in patients with CVD at an individual level. Objective The aim of this study is to identify and measure the effectiveness of digital technology (eg, mobile phones, the internet, software applications, wearables, etc) interventions in randomized controlled trials (RCTs) and determine which behavior change constructs are effective at achieving risk factor modification in patients with CVD. Methods This study is a systematic review and meta-analysis of RCTs designed according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analysis) statement standard. Mixed data from studies extracted from selected research databases and filtered for RCTs only were analyzed using quantitative methods. Outcome hypothesis testing was set at 95% CI and P=.05 for statistical significance. Results Digital interventions were delivered using devices such as cell phones, smartphones, personal computers, and wearables coupled with technologies such as the internet, SMS, software applications, and mobile sensors. Behavioral change constructs such as cognition, follow-up, goal setting, record keeping, perceived benefit, persuasion, socialization, personalization, rewards and incentives, support, and self-management were used. The meta-analyzed effect estimates (mean difference [MD]; standard mean difference [SMD]; and risk ratio [RR]) calculated for outcomes showed benefits in total cholesterol SMD at −0.29 [−0.44, −0.15], P<.001; high-density lipoprotein SMD at –0.09 [–0.19, 0.00], P=.05; low-density lipoprotein SMD at −0.18 [−0.33, −0.04], P=.01; physical activity (PA) SMD at 0.23 [0.11, 0.36], P<.001; physical inactivity (sedentary) RR at 0.54 [0.39, 0.75], P<.001; and diet (food intake) RR at 0.79 [0.66, 0.94], P=.007. Initial effect estimates showed no significant benefit in body mass index (BMI) MD at −0.37 [−1.20, 0.46], P=.38; diastolic blood pressure (BP) SMD at −0.06 [−0.20, 0.08], P=.43; systolic BP SMD at −0.03 [−0.18, 0.13], P=.74; Hemoglobin A1C blood sugar (HbA1c) RR at 1.04 [0.40, 2.70], P=.94; alcohol intake SMD at −0.16 [−1.43, 1.10], P=.80; smoking RR at 0.87 [0.67, 1.13], P=.30; and medication adherence RR at 1.10 [1.00, 1.22], P=.06. Conclusions Digital interventions may improve healthy behavioral factors (PA, healthy diet, and medication adherence) and are even more potent when used to treat multiple behavioral outcomes (eg, medication adherence plus). However, they did not appear to reduce unhealthy behavioral factors (smoking, alcohol intake, and unhealthy diet) and clinical outcomes (BMI, triglycerides, diastolic and systolic BP, and HbA1c).

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Digital Technology Interventions for Risk Factor Modification in Patients With Cardiovascular Disease: Systematic Review and Meta-analysis

Akinosun

Polson

Diaz-Skeete

et al. 2021

JMIR Mhealth Uhealth

107

View full text Add to dashboard Cite

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“…It is too early to tell if the influence of QAnon will fade away from the American public consciousness, or if this ideology and movement are here to stay for the foreseeable future. While proponents of the moral panic framework have often been accused by critics (Conner, 2014) of ignoring structural conditions; in this article, we have tried to overcome these limitations, by considering the structural conditions which led to distrust of traditional social institutions, leading to people who are primed for QAnon belief. While structural conditions inform and often constrain social interaction, the QAnon phenomenon represents the potential for groups to interpret and construct a dynamic belief structure in opposition to 'elites' such as politicians and celebrities, even if their reaction is to subvert reality and supplant it with an alternative fictionally based account.…”

Section: Discussionmentioning

confidence: 99%

The Perfect Storm: A Subcultural Analysis of the QAnon Movement

Conner

MacMurray

2021

Critical Sociology

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In this study, we examine the social phenomenon known as ‘QAnon’. While QAnon is typically thought of as an exclusively online cultural phenomenon, and thus easily dismissed, it has played a significant role in promoting physical acts of violence—including multiple murders and the attack on the United States Capital on 6 January 2021. Utilizing a qualitative analysis of 300 hours of QAnon-related content, we argue that the widespread beliefs held by QAnon supporters were only possible due to the confluence of feelings of distrust in government and other public officials, purveyors of QAnon that profited in the movement’s success, and a populist digital media environment in which extremist ideas are housed and promoted. We conclude by asking if this is a phenomenon created by greater connectivity, or if this is a byproduct of late-stage capitalism in which social relations continue to be atomized.

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Social Problems: The Limits and Strengths of the Social Constructionist Perspective

Cited by 2 publications

References 0 publications

Digital Technology Interventions for Risk Factor Modification in Patients With Cardiovascular Disease: Systematic Review and Meta-analysis

Digital Technology Interventions for Risk Factor Modification in Patients With Cardiovascular Disease: Systematic Review and Meta-analysis

The Perfect Storm: A Subcultural Analysis of the QAnon Movement

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