Prevalence and Determinants of Excessive Screen Viewing Time in Children Aged 3-15 Years and Its Effects on Physical Activity, Sleep, Eye Symptoms and Headache.

Screen viewing time is the total time spent by a child on any digital/electronic device. The objective of the present study was to determine the prevalence and predictors of excessive screen viewing time in children in Ujjain, India. This cross-sectional, community-based study was conducted through a house-to-house survey using the three-stage cluster sampling method in 36 urban wards and 36 villages of Ujjain District, India. Excessive screen viewing time was defined as screen viewing for >2 h/day. The prevalence of excessive screen viewing time was 18%. Risk factors identified using the multivariate logistic regression model were age (OR: 1.63, p < 0.001); mobile phone use before bedtime (OR: 3.35, p = 0.004); parents' perception about the child's habituation to screen time (OR: 8.46, p < 0.001); television in the bedroom (OR: 35.91, p < 0.001); morning mobile screen viewing time (OR: 6.40, p < 0.001); not reading books other than textbooks (OR: 6.45, p < 0.001); and lack of outdoor play for >2 h (OR: 5.17, p < 0.001). The presence of eye pain was a protective factor for excessive screen viewing time (OR: 0.13, p = 0.012). This study identified multiple modifiable risk factors for excessive screen viewing time.

Correlation between Nasolabial Angle and Maxillary Incisors Inclination in 18-25-Year-Old Chhattisgarh Population Using Pre- and Post-Treatment Lateral Cephalograms: A Retrospective Study.

INTRODUCTION: One of the primary objectives of orthodontic treatment has been the enhancement of facial aesthetics. To obtain the perfect facial profile with aesthetic balance, knowledge of facial anatomy is essential. The diagnosis and treatment planning of orthodontic patients depend greatly on the examination of the soft tissue profile. Since the nasolabial angle is significantly affected by the inclination of the upper incisors, it is a frequently employed soft tissue parameter in orthodontic diagnosis. AIM: The study aimed to find out the correlation between the nasolabial angles with maxillary incisor inclination. MATERIALS AND METHODS: In this retrospective study, 120 lateral cephalograms of orthodontic patients including males and females were traced. Their nasolabial angle and maxillary incisor inclination were calculated before and after orthodontic treatment. RESULT: The mean of pre- and post-treatment nasolabial angle was found to be 91.43° ± 14.008 and 97.93° ± 14.194, respectively. The mean of pre- and post-treatment incisor inclination was found to be 32.59° ± 7.290 and 23.98° ± 6.851, respectively. The gender-wise Pearson's correlation (r) of nasolabial angle with incisor inclination for male and female was found to be -0.464 with a P value of 0.164 and -0.305 with a P value of 0.118, respectively. Overall Pearson's correlation of nasolabial angle with incisor inclination was found to be -0.040 with a P value of 0.384. CONCLUSION: There is an insignificant negative correlation between nasolabial angle and incisor inclination in the Chhattisgarh population as well as among the two genders.

Assessment of school readiness of children and factors associated with risk of inadequate school readiness in Ujjain, India: an observational study.

OBJECTIVE: School readiness is a condition or state indicating that the child is ready to learn in a formal educational set-up. The objective of this study was to estimate the prevalence of and factors associated with school readiness in urban schoolchildren in Ujjain, India. METHODS: This cross-sectional study was conducted from February 2016 to March 2017. Two English-medium schools were conveniently selected. All children aged 5-7 years were eligible to participate. A subscale of Differential Ability Scales-Second Edition, namely 'school readiness scale', was used to assess school readiness in three major domains-early number concept, matching letter-like forms and phonological processing. Data on factors associated with school readiness were collected through parent interview. Quantile regression analysis was used to explore school readiness scores. RESULTS: This study included 203 school-going children (105 boys and 98 girls) having a mean (SD) age of 67.7 (±0.51) months. The phonological processing and matching letter-like forms had 31.5% and 30.5% children, respectively, in lower quantiles (≤25th). The higher quantile (≥75th) scores were achieved for phonological processing and early number concept (47.7% and 44.8% children, respectively). The results of quantile regression showed negative association of school readiness scores with age of children, lower socioeconomic status and hospitalisation status, especially in the lower quantiles (≤25th). The 10th, 50th and 75th quantile scores were positively correlated with the increasing education status of the mother. Birth weight was positively associated with the median and higher quantile scores (≥75th). CONCLUSIONS: School readiness in a middle-class urban setting in India was negatively associated with lower age of the child, lower socioeconomic status, hospitalisation and positively correlated with increasing birth weight and maternal education. Lower quantile scores were achieved in matching letter-like forms, which measures complex visual-spatial processing, and phonological ability, which correlates with acquired verbal concepts. Focused interventions are needed to improve these skills.