26 research outputs found

    A Systematic Synthesis of Evidence Regarding Relationship of Physical Activity and Sports Participation With Trait Self-control

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    Background: Individuals with low level of trait self-control exhibit several negative behaviors such as violence, addictive behaviors (drug addiction, technological addictions), suicide, unhealthy eating, and criminal behaviors. In contrast, high level of self-control thought to be associated with positive psychosocial and physical health related outcomes. Interventions contribute to boost self-control seems essential for individual with risk of low trait self-control. Objectives: The purpose of this study is to systematically evaluate the relationship between physical activity and trait self-control. Methods: For this purpose, full-text articles were searched in research databases including Psych INFO, PubMed, Medline, The Cochrane Library, Wiley Library, Taylor & Francis, Science Direct, Springer, ERIC, JSTOR, Google scholar, and Sage Journals.  Following screening for the study selection criteria and assessment of risk of bias, twenty one studies (13cross-sectional, 5 longitudinal and 3 interventions) with low or moderate risks of bias were finally selected for qualitative synthesis. Results: Findings from all of the included studies consistently showed that there was a significantly positive relationship between physical activity and trait self-control.It is suggested that increasing self-efficacy, decreasing aggression, and improvement in positive and negative emotional states might be underlying mechanisms working for beneficial effects of physical activity on trait self-control. Conclusion: These suggest that physical activity and exercise may serve as a potential means to enhance trait self-control. Practical implementation and recommendations for policy makers are put forward in this connection

    Ad hoc and Opportunistic Routing in Static Scatternet Environment

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    Abstract Peer-to-peer connectivity between mobile phones using technologies such as Bluetooth has given a new dimension to the mobile communication. Peers through the help of various underlying protocols can form piconets and scatternets to transparently communicate the content across the network. There however are issues like reliability in communication, delay and the cost of communication that need to be considered before resorting to this form of communication. This paper presents a study where opportunistic concept such as Bubble Rap is tested in Bluetooth ad hoc networking environment. The notion behind this research is to study the properties of these two networking environments, since opportunistic networks are derived from ad hoc networks. Thus, study of these two different environments yet related to each other may help us find new ways of message forwarding in Bluetooth communication environment. This paper is aimed at investigating the behaviour of nodes present in Bluetooth static scatternet environment by 1) studying message transfer from a source to destination using traditional ad hoc communication protocols such as AODV and 2) message transfer using opportunistic algorithms such as Bubble Rap on top of traditional ad hoc communication. This paper also proposes a concept of ranking to transfer messages to the node that has higher social centrality ranking compared to the current node. Nodes with varying social ranking are allowed to join piconets and forward messages based on Bubble Rap concept in scatternet environment. In BR algorithm, nodes forward messages to only those encountering nodes which are more popular than the current node

    Application of the GPS technology to assess time-location pattern of undergraduate students at a private medical university in Karachi, Pakistan: A pilot study

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    To compare time-location pattern of undergraduate university students through GPS and diary method, and with level of physical activity, a cross-sectional survey was conducted from September 2012 - May 2013 involving 50 undergraduate students from Aga Khan University. Data were recorded through GPS, diary method, International Physical Activity Questionnaire (IPAQ-L) and accelerometer (ActiGraph). Median self-reported time spent in the indoor-inside the campus, indoor-outside the campus and outdoor environment was 405 (IQR:300-540), 720 (IQR:465-840) and 300 minutes (IQR:180-495) respectively, while 52% of the students were in moderate, 40% vigorous and 8% in mild categories of physical activity. Mean differences in location (GPS versus diary method) were statistically insignificant; indoor residential, -30.2, indoor other, -26.2, outdoor at rest, 45.9 and outdoor travelling, 10.5 minutes. We conclude that students spent most of their time indoors-outside of campus and majority were physically active, while also demonstrating the applicability of GPS and ActiGraph for such studies

    Modelling Framework for Reducing Energy Loads to Achieve Net-Zero Energy Building in Semi-Arid Climate: A Case Study

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    Buildings consume a significant 40% of global energy, where, reducing the building energy consumption to a minimum, virtually zero, has become a thriving research area. Accordingly, this research aimed to determine and portray the huge potential of energy conservation in existing structures by making a retrofit at relatively low costs in finance strained economies. A walk-through of the survey of energy consuming appliances determined the energy consumption based on the power rating; the appliances were then virtually replaced and the reduced energy consumption was determined in terms of the cooling loads. Modelling these intervention using the hourly analysis program (HAP) showed significantly positive results. The pre- and post-retrofit model analysis of an institutional building in Pakistan exhibited significant potential for reducing the cooling load of 767 kW (218 TON) to 408 kW (116 TON) with an investment payback period of 2.5 years. The additional benefit is the reduced greenhouse gas (GHG) emissions which reduce the overall energy requirements. The study continues with the design of a solar energy source using the system advisor model (SAM) for the reduced energy demand of a retrofitted building. It is then concluded that using the available area, a solar energy source with a capital payback period of 5.7 years would bring an institutional building within its own energy footprint making it a net-zero building, since it will not be consuming energy from any other source outside of its own covered area. The study has the limitation to exposure and climate related conditions. In addition, the decline in heating and cooling loads represents model values which may vary when calculated after an actual retrofit for the same structure due to any site related issues

    Self-perceived health among school going adolescents in Pakistan: influence of individual, parental and life style factors?

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    BACKGROUND: Adolescents are at substantial risk of acquiring behaviors which might influence their health status. This study was aimed to assess the proportion of school going adolescents (both males and females) with poor self-perceived health and its associated factors. METHODOLOGY: A cross-sectional study was conducted in three major cities of Pakistan i.e. Karachi, Lahore and Quetta. From each city, six (6) secondary schools were randomly selected (3 public and 3 private). Pre-tested, self-administered questionnaire was distributed to students. Binary logistic regression analysis was conducted to determine independent factors associated with poor self-perceived health. RESULTS: Approximately 29% adolescents (119/414) reported poor self-perceived health. Individual and parental factors significantly associated with poor self-perceived health were being male (AOR = 1.75, 95% CI: 1.09 - 2.79), living in extended family (AOR = 2.65, 95% CI: 1.66 - 4.22), unskilled employment of father (AOR = 2.17, 95% CI: 1.35 - 3.48), lack of parental-child communication (AOR = 1.74, 95% CI: 1.03 - 2.91) and unfair treatment by parents (AOR = 1.80, 95% CI: 1.09 - 2.96). Life style factors such as use of smokeless tobacco (AOR = 2.14, 95% CI: 1.26 - 3.96) and unhealthy diet (AOR = 3.60, 95% CI: 1.76 - 7.33) were associated with poor self-perceived health. CONCLUSION: Better employment opportunities for father, parental counseling and increase awareness for adolescents about healthy diet are recommended to improve adolescent self-perceived health in Pakistan

    Preventable lifestyle risk factors for non-communicable diseases in the Pakistan Adolescents Schools Study 1 (PASS-1).

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    Objectives: The rising burden of preventable risk factors for non-communicable diseases (NCDs) among adolescents is a major public health challenge worldwide. We identified the preventable risk factors for NCDs in adolescents. Methods: In a school-based study, pre-tested structured questionnaires were completed by 414 adolescents (14 to 17 years) at six schools in three cities in Pakistan. The chi-squared test and adjusted odds ratio (aOR) with 95% confidence interval (CI) were calculated in a multinomial logistic regression analysis. Results: Over 80% of the adolescents had unhealthy diets, and 54% were physically inactive. Most adolescents were exposed to passive smoking, and 14% were also current smokers. More than one-third of participants chewed betel nut, and one-quarter used oral tobacco. More girls were physically inactive (OR, 4.07; 95% CI, 2.69 to 6.17), whereas a greater proportion of boys were current smokers (OR, 2.17; 95% CI, 1.19 to 3.91), exposed to passive smoking (OR, 2.57; 95% CI, 1.72 to 3.83), and using betel nut (OR, 2.03; 95% CI, 1.34 to 3.06). Only 3.1% of the participants were without any preventable lifestyle risk factor for NCDs, and over 80% had ≥2 factors. Co-existence of risk factors was independently associated with fathers being blue-collar workers (aOR, 3.57; 95% CI, 1.07 to 11.92) and parents not treating their child fairly (aOR, 5.05; 95% CI, 1.29 to 19.78). Conclusions: Most of the adolescents studied had preventable risk factors for NCDs. These results warrant comprehensive and integrated interventions to prevent lifestyle risk factors, and parents are front-line stakeholders

    Real-Time Laryngeal Cancer Boundaries Delineation on White Light and Narrow-Band Imaging Laryngoscopy with Deep Learning

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    Objective: To investigate the potential of deep learning for automatically delineating (segmenting) laryngeal cancer superficial extent on endoscopic images and videos. Methods: A retrospective study was conducted extracting and annotating white light (WL) and Narrow-Band Imaging (NBI) frames to train a segmentation model (SegMENT-Plus). Two external datasets were used for validation. The model's performances were compared with those of two otolaryngology residents. In addition, the model was tested on real intraoperative laryngoscopy videos. Results: A total of 3933 images of laryngeal cancer from 557 patients were used. The model achieved the following median values (interquartile range): Dice Similarity Coefficient (DSC) = 0.83 (0.70-0.90), Intersection over Union (IoU) = 0.83 (0.73-0.90), Accuracy = 0.97 (0.95-0.99), Inference Speed = 25.6 (25.1-26.1) frames per second. The external testing cohorts comprised 156 and 200 images. SegMENT-Plus performed similarly on all three datasets for DSC (p = 0.05) and IoU (p = 0.07). No significant differences were noticed when separately analyzing WL and NBI test images on DSC (p = 0.06) and IoU (p = 0.78) and when analyzing the model versus the two residents on DSC (p = 0.06) and IoU (Senior vs. SegMENT-Plus, p = 0.13; Junior vs. SegMENT-Plus, p = 1.00). The model was then tested on real intraoperative laryngoscopy videos. Conclusion: SegMENT-Plus can accurately delineate laryngeal cancer boundaries in endoscopic images, with performances equal to those of two otolaryngology residents. The results on the two external datasets demonstrate excellent generalization capabilities. The computation speed of the model allowed its application on videolaryngoscopies simulating real-time use. Clinical trials are needed to evaluate the role of this technology in surgical practice and resection margin improvement. Level of evidence: III Laryngoscope, 2024

    A randomized controlled behavioral intervention trial to improve medication adherence in adult stroke patients with prescription tailored Short Messaging Service (SMS)-SMS4Stroke study.

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    Background: The effectiveness of mobile technology to improve medication adherence via customized Short Messaging Service (SMS) reminders for stroke has not been tested in resource poor areas. We designed a randomized controlled trial to test the effectiveness of SMS on improving medication adherence in stroke survivors in Pakistan. Methods: This was a parallel group, assessor-blinded, randomized, controlled, superiority trial. Participants were centrally randomized in fixed block sizes. Adult participants on multiple medications with access to a cell phone and stroke at least 4 weeks from onset (Onset as defined by last seen normal) were eligible. The intervention group, in addition to usual care, received reminder SMS for 2 months that contained a) Personalized, prescription tailored daily medication reminder(s) b) Twice weekly health information SMS. The Health Belief Model and Social Cognitive theory were used to design the language and content of messages. Frontline SMS software was used for SMS delivery. Medication adherence was self-reported and measured on the validated Urdu version of Morisky Medication Adherence Questionnaire. Multiple linear regression was used to model the outcome against intervention and other covariates. Analysis was conducted by intention-to-treat principle. Results: Two hundred participants were enrolled. 38 participants were lost to follow-up. After 2 months, the mean medication score was 7.4 (95 % CI: 7.2–7.6) in the intervention group while 6.7 (95 % CI: 6.4–7.02) in the control group. The adjusted mean difference (Δ) was 0.54 (95 % CI: 0.22–0.85). The mean diastolic blood pressure in the intervention group was 2.6 mmHg (95 % CI; −5.5 to 0.15) lower compared to the usual care group. Conclusion: A short intervention of customized SMS can improve medication adherence and effect stroke risk factors like diastolic blood pressure in stroke survivors with complex medication regimens living in resource poor areas
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