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1.
Sci Rep ; 13(1): 11491, 2023 07 17.
Article in English | MEDLINE | ID: mdl-37460653

ABSTRACT

Rapid eating has been demonstrated to be associated with obesity and overweight. However, few studies have characterized the separate relationships of eating speed with visceral and subcutaneous fat mass or circulating adiponectin concentration. We hypothesized that rapid eating is associated with the larger visceral fat tissue (VFT) area and lower adiponectin concentration, but not with the subcutaneous fat tissue (SFT) area in men and women. We performed a cross-sectional study of 712 adults aged 20-86 years (528 men and 184 women; mean ± SD age 59.36 ± 13.61 years). The participants completed a self-reported questionnaire, and underwent anthropometric and laboratory measurements and computed tomographic imaging of the abdomen as a part of annual medical check-ups. Multivariate linear regression analyses revealed that rapid eating was associated with larger visceral (B = 24.74; 95% CI 8.87-40.61, p = 0.002) and subcutaneous fat areas (B = 31.31; 95% CI 12.23-50.38, p = 0.001), lower adiponectin concentration (B = - 2.92; 95% CI - 4.39- - 1.46, p < 0.001), higher body mass index (BMI) (B = 2.13; 95% CI 1.02-3.25, p < 0.001), and larger waist circumference (B = 5.23; 95% CI 2.16-8.30, p < 0.001) in men, which is partially consistent with the hypothesis. In contrast, rapid eating was found to be associated only with BMI, and not with abdominal adipose area or adiponectin concentration in women, which is a result that is not consistent with the hypothesis. These results suggest that there is no difference in the association of rapid eating with VFT and SFT areas.


Subject(s)
Adiponectin , Obesity , Adult , Male , Humans , Female , Cross-Sectional Studies , Body Mass Index , Subcutaneous Fat/diagnostic imaging , Intra-Abdominal Fat/diagnostic imaging
2.
Neuropsychopharmacol Rep ; 43(4): 553-560, 2023 Dec.
Article in English | MEDLINE | ID: mdl-37465913

ABSTRACT

BACKGROUND: Internet addiction (IA) has been drawing attention to mental health. However, few reports have been found on the related factors of at-risk IA among regular workers by a nationwide survey. The study aimed to evaluate the characteristics of at-risk IA and identify related factors among senior high school teachers in Japan. METHODS: This survey was a cross-sectional survey of high schools across Japan in 2017. There were 3189 teachers (2088 males and 1098 female) who participated in this survey. The questionnaire asked about their devices, both the time and the activities of using their internet, and sociodemographic factors. IA was measured by the internet addiction test (IAT) by which 40-79 points were classified as at-risk IA, and more as IA. We compared the related factors of at-risk IA and non-IA using descriptive analysis and multivariable regression analysis. RESULTS: The rates of IA and at-risk IA were 0.09% (n = 3) and 6.91% (n = 220), respectively. At-risk IA was positively associated with activities on the internet for gaming, entertainment, net-surfing, and younger ages. In addition, the at-risk IA group had a longer time spent on the internet than the non-IA group. CONCLUSIONS: Around 7% of high school teachers are at-risk IA in this survey, though they have regular work. Our results suggest that at-risk IA may be reinforced not only by the active internet use such as gaming, but also by purposeless behaviors, such as net-surfing. Managing time on the internet may support preventing at-risk IA among senior high school teachers.


Subject(s)
Behavior, Addictive , School Teachers , Male , Humans , Female , Japan/epidemiology , Cross-Sectional Studies , Internet Addiction Disorder , Behavior, Addictive/epidemiology , Prevalence , Surveys and Questionnaires
3.
J Occup Health ; 63(1): e12298, 2021 Jan.
Article in English | MEDLINE | ID: mdl-34888997

ABSTRACT

OBJECTIVES: Problematic internet use (PIU) has been suggested in relation to psychological symptoms among schoolteachers, but the relationship with physical symptoms remains unclear. We examined whether PIU or longer Internet usage time is associated with neck pain in schoolteachers. METHODS: We conducted a cross-sectional study among 2582 teachers aged 20 years or older (35.6% women) in Shimane and Tottori, Japan in 2018. Neck pain was defined as ≥5 points on the Neck Disability Index. The Compulsive Internet Use Scale (CIUS) was used to assess PIU. Internet usage time on weekdays and weekends was divided into five groups: 0, 1-29, 30-59, 60-119, and ≥120 min/day. Logistic regression analysis was conducted to examine the association of the CIUS score and Internet usage time on weekdays or weekends with neck pain, adjusting for sex, age, position at school, insomnia, and psychological distress. RESULTS: We observed 800 (31.0%) teachers with neck pain. The median (interquartile range) of their CIUS scores was 7 (2, 14). A higher CIUS score was independently associated with a higher prevalence of neck pain (odds ratio of 4th vs. 1st quartiles, 1.41; 95% confidence interval, 1.06-1.87; trend P = .006). Compared with non-Internet users, Internet users on weekdays had almost double the odds of neck pain although the difference did not reach the customary level for designating statistical significance. CONCLUSIONS: In conclusion, teachers with higher scores in CIUS were associated with a higher prevalence of neck pain in Japan, suggesting adults with PIU being at risk of physical disorders.


Subject(s)
Internet Use , Neck Pain , School Teachers , Adult , Cross-Sectional Studies , Female , Humans , Internet Use/statistics & numerical data , Japan/epidemiology , Male , Neck Pain/epidemiology , School Teachers/statistics & numerical data , Time Factors , Young Adult
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