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1.
Work ; 69(4): 1261-1270, 2021.
Article in English | MEDLINE | ID: mdl-34366308

ABSTRACT

BACKGROUND: The excessive use of hand-held mobile devices (HHMD) leads to a postural phenomenon known as text neck. OBJECTIVE: The aim of this paper is to discuss the anatomical, biomechanical and muscle activation changes within the cervical and thoracic regions associated with the sustained, forward, flexed neck posture, observed with excessive usage of hand-held mobile devices. Additionally, this paper examines the relationship of gender, as well as the effects of carrying backpack loads by youth, on this forward, flexed neck posture. METHODS: Multiple aspects of the text neck position that occur when an individual uses a HHMD are described. RESULTS: Prolonged use of hand-held mobile devices results in adverse anatomical and biomechanical changes in the cervical and thoracic spine, muscular imbalances, and postural compensations, all of which contribute to muscular overuse and fatigue resulting in pain. CONCLUSIONS: Physical therapists must educate their patients about proper posture while using hand-held mobile devices. Proper posture includes: holding the device close to eye level, using the device while standing or sitting and holding the device with a line of sight perpendicular to the surface of the device, using a larger screen, and texting with both hands. Also, because children are using hand held mobile devices at younger ages, parents and teachers must be educated about the dangers of prolonged use of hand-held devices.


Subject(s)
Text Messaging , Adolescent , Child , Humans , Neck , Neck Pain/etiology , Posture , Spine
2.
Environ Res ; 150: 398-402, 2016 10.
Article in English | MEDLINE | ID: mdl-27372063

ABSTRACT

INTRODUCTION: Exposure to fine particulate matter (PM2.5) is associated with worse morbidity in individuals with COPD. Inhaled PM is phagocytosed by airway macrophages (AM), and black carbon measured in AM may serve as a biomarker of air pollution exposure. As there is little data on how indoor PM exposure may influence AM black carbon content in those with respiratory disease, we investigated the association of indoor PM2.5 concentration to AM black carbon content in adults with COPD. METHODS: Former smokers (>10 pack-years smoking history, quit date >1 year prior to enrollment) older than 40 years of age with moderate-severe COPD were eligible. Indoor air PM2.5 concentrations were measured over 5-7 days at baseline, 3 month, and 6 month intervals. Sputum induction was performed during clinic visits concordant with home monitoring. A total of 50 macrophages per sputum specimen were photographed and quantified using appropriate software by trained staff blinded to PM concentrations. Longitudinal analyses using generalized estimating equations were used to assess the relationship between indoor PM exposure and AM black carbon content. RESULTS: Participants (n=20) were older (mean (SD) age 67 (4) years), predominantly Caucasian (85%) and male (70%), with an average smoking history of 52 pack-years and mean (SD) quit date of 13 (9) years prior to enrollment. The majority of daily time was reported to be spent indoors (>23h). Mean indoor PM2.5 concentration was 12.8 (13.5)µg/m(3). The mean area of black carbon quantified in airway macrophages was 1.2 (0.7)µm(2). In multivariate cross-sectional and longitudinal analyses, each 10µg/m(3) increase in indoor PM2.5 was significantly associated with a 0.26µm(2) and 0.19µm(2) increase in airway macrophage black carbon total area, respectively (p<0.05). CONCLUSION: Higher indoor PM2.5 concentration is associated with an increase in black carbon content of AM in individuals with COPD. These data support the potential for AM black carbon content to be a useful non-invasive biomarker of exposure to indoor PM.


Subject(s)
Air Pollutants/analysis , Air Pollution, Indoor/analysis , Macrophages, Alveolar/metabolism , Particulate Matter/analysis , Pulmonary Disease, Chronic Obstructive/metabolism , Soot/metabolism , Aged , Biomarkers/metabolism , Cell Count , Environmental Monitoring , Female , Humans , Lung , Male , Middle Aged , Pulmonary Disease, Chronic Obstructive/immunology , Pulmonary Disease, Chronic Obstructive/physiopathology , Respiratory Function Tests , Smoking/metabolism , Sputum/cytology , Sputum/immunology
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