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The purpose of this study was to ascertain whether there is a difference in musculoskeletal pain between those who are addicted to mobile games and those who are not, to ascertain the association between mobile game addiction and socio-demographic variables, and to ascertain the pain predictor for mobile game addiction on different musculoskeletal regions. There were 840 students in all, both males and females, in this cross-sectional survey from three distinct Bangladeshi institutions. The Nordic Musculoskeletal Discomfort Questionnaire, the Gaming Addiction Scale, and the demographic data form were distributed to the participants. The data were analyzed using the Chi-square test and descriptive statistics. Binary logistic regression was used to find the predicted risk factor for mobile gaming addiction. Musculoskeletal pain affects 52.1% of participants in some part of the body. Males have a 2.01-fold higher likelihood of developing gaming addiction compared to females. Those who are addicted to mobile games experience a higher occurrence of pain in the neck, upper back, elbows, and wrist and hands with a odds ratio of (OR 2.84, 95% CI: 1.49-5.36; p = 0.016), (OR 3.75, 95% CI 1.97-7.12; p = <0.001), (OR 3.38, 95% CI 1.34-8.50; p = 0.010), and (OR 2.14, 95% CI 1.00-4.57; p = 0.049) respectively. These results demonstrate that mobile gaming addiction raises students' risk of musculoskeletal discomfort. Two-three times higher risk of developing pain in the neck, upper back, elbows, and wrist and hands among mobile game addicts.

PurposeE-commerce continues to experience unprecedented growth, but a lack of understanding of socio-behavioral aspects of green last-mile delivery solutions is conflicting with e-commerce and shipping companies' climate-related pledges to e-shoppers. This study seeks to correct for research deficiencies in the e-commerce context by determining how e-shoppers' adoption of green last-mile delivery might be influenced by socio-behavioral factors, personality traits; and e-shopping motivations.Design/methodology/approachTo test the hypotheses, this study collected data from 319 US adults enrolled in an online panel survey and conducted hierarchical regression analyses after controlling for demographic variables.FindingsResults showed that socio-behavioral variables (attitude, subjective norms and perceived behavior control) contributed 60.3% of the unique variance in explaining purchase intention via green delivery (PIGD). Notably, e-shopping motivations derived from utilitarian features (convenience and energy efficiency) and experiential features (e-shopping adventure) emerged as significant predictors of PIGD. Although personality traits (conscientiousness and openness) significantly predicted PIGD in the regression model, the individual effect of openness was not significant. Further, demographic subgroups, including gender, education and income level revealed significant outcomes, while age and ethnicity exhibited no significant group differences with the above-mentioned variables.Practical implicationsThe study findings would provide online retailers and marketers with in-depth insight on how green marketing initiatives can increase responsible consumers' intention to purchase via green delivery.Originality/valueThis is a one-of-a-kind effort that integrates and tests e-shoppers' socio-behavioral factors, e-shopping motivations and personality traits into a single model.

The number of internet users and online shoppers in the United States has grown at an incredible rate over the past few decades. Greater convenience and availability of a wide assortment of apparel products at a cheaper price made online shopping very enticing to consumers. Amazon.com (Amazon) gained unprecedented popularity among consumers with its Amazon Prime program. Amazon’s retail revolutions changed consumer’s way of shopping and expectations. Both online and physical store retailers are facing tremendous pressure to fulfill that level of expectation. Thus, it is essential for retailers clearly understand the shopping expectations and preferences of Amazon Prime members and non-Prime shoppers. Little research has been carried out to understand the online apparel purchasing behavior of Amazon Prime members and non-Prime shoppers. The purpose of this study was to identify and explain the perceived benefits that Amazon Prime members and non-Prime shoppers in the United States engage when developing intention to purchase apparel online. A conceptual model was extended from the Theory of Planned Behavior by incorporating external variables such as convenience, time-savings, price, and product variety. Quantitative research method consisting of an explanatory research design was used in this study. Multiple regression was selected to test the relationships based on a convenience survey sample of 334 U.S. Amazon Mechanical Turk workers.The results of this study showed that convenience, price, and product variety significantly influenced participant’s intention to purchase apparel online. Thus, participants intended to purchase apparel online when they perceived online shopping websites provided a higher level of convenience, cheaper prices, and a wide variety of apparel. However, time-savings was not found to have a significant impact on developing online apparel purchase intention. Results also indicate that Amazon Prime members perceive greater price comparison than non-Prime shoppers when shopping apparel online. Except for the price, none of the variables was significant in determining the differences between Amazon Prime members and non-Prime shoppers’ intention to purchase apparel online.

Low back pain (LBP) issues have become very acute in the health status of Dhaka City motorbike riders. As per the ergonomic study, a routine interval and therapeutic exercise especially stretching exercise has a surprising outcome that's why a study was conducted with motorbike riders in Dhaka City. Three established parameters were used for the assessment of LBP. This research conducted aiming to assess the significance of stretching exercises and routine-intervals upon severe low back pain sufferers among the professional motorbike riders.A \"quasi-experimental interventional study\" conducted with some specific criteria and a 12 week summery represented by the three times assessment, where 70 participants were included among the professional motorbike riders from Dhaka City. Two groups were divided by equal number participants where either group-candidate was prescribed complete guidance to perform in conditional intervals. Those three assessments were accessed considering parameters namely visual analog scale (VAS), oswestry low back pain disability questionnaire (OLBPDQ), and roland morris questionnaire (RMQ).The results of this study reflect the significant analysis between stretching exercises, routine-intervals and body mass index (BMI) with LBP. According to VAS, 5.7% of patients totally cured of LBP and most of the participant represents a highly successful progression with VAS, OLBPDQ and RMQ perimeter. In contrast, the recovery of low back pain was too slow for obese patients. The research suggested that every motorbike riders should perform stretching exercises regularly and maintain a routinized interval into the daily working schedule. The study also strongly refers to maintain BMI to prevent LBP progression.

Xeromphis. uliginosa (Retz.) is an extinctive Bangladeshi medicinal plant that is locally used for the treatments of pain, diabetes, diarrhea, depressant, and other diseases. The present study was conducted to evaluate the peripheral analgesic activity (PAA), central analgesic activity (CAA), central nervous system antidepressant activity (CNS-AD), antidiarrheal activity (ADA), and hypoglycaemic activity (HGA) of methanolic root extract of X. uliginosa (MREXU) in a mice model. The acetic acid-induced writhing inhibition and tail flick method were applied to determine the PAA and CAA of MREXU. The CNS-AD was measured using the phenobarbitone sodium-mediated sleeping method whereas, the castor oil-induced antidiarrheal method was used to determine the ADA of the crude extracts. To determine the HGA of MREXU crude extract, the tail tipping technique was conducted in a mice model. The MREXU displayed potential PAA and CAA in mice models. The MREXU 200 and 400 mg/kg significantly inhibit the number of writings along with diclofenac sodium. On the other hand, MREXU both doses significantly inhibit thermal stimulus after 60 and 90 minutes respectively. In the CNS-AD study, crude extract of 200 and 400 mg/kg significantly increase the onset of sleep by decreasing the duration of sleep. Similarly, the dose of 200 mg/kg significantly reduced diarrheal faeces for the whole 4 hours of experiments. The heartiest outcome of MREXU was displayed in the HGA assay. Both doses of MREXU significantly reduced the blood sugar level for the entire 3 hours of the experiments. In this study, it is revealed that the root of MREXU has extremely significant blood sugar-reducing activity, potential CNS-AD and mild to moderate nociceptive activity in the mice model