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http://dx.doi.org/10.1159/000111223 | DOI Listing |
J Affect Disord
January 2025
Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA.
Background: Shorter weeknight sleep duration has not been assessed as a mediating mechanism linking earlier pubertal timing to a greater burden of adolescent depression symptoms.
Methods: Among 1138 participants (48.6 % female) from Project Viva, a pre-birth longitudinal cohort, we examined relationships among pubertal timing measures, actigraphy-captured and self-reported weeknight sleep duration across mid-adolescence, and depression symptoms in late adolescence.
BMJ Nutr Prev Health
December 2024
Region Kalmar County Hospital, Kalmar, Sweden.
Background: Several modifiable risk factors, including dietary habits, are linked to cardiovascular disease (CVD) progression. However, lifestyle changes remain notoriously challenging, perhaps due to psychosocial factors. This pilot study aims to investigate the relationship between adherence to a healthy diet, CVD risk factors, psychological factors and sociodemographic variables among middle-aged adults in Sweden.
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January 2025
School of Public Health, Guangxi Medical University, Nanning, China.
Purpose: Body Mass Index (BMI) is an important indicator for assessing obesity and related health risks. With the rapid socio-economic development and changes in lifestyle, abnormal BMI (such as underweight, overweight, and obesity) has become an increasingly serious public health issue. This study aims to explore the impact of exercise frequency on BMI among Chinese adults aged 19 to 59, and to analyze the role of dietary behaviors in regulating BMI, providing a basis for BMI intervention strategies.
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January 2025
Triveni Rai Kisan Mahila Mahavidyalaya, D. D. U. Gorakhpur University, Kushinagar, India.
Background And Objective: This study delves into the parenting cognition perspectives on COVID-19 in children, exploring symptoms, transmission modes, and protective measures. It aims to correlate these perspectives with sociodemographic factors and employ advanced machine-learning techniques for comprehensive analysis.
Method: Data collection involved a semi-structured questionnaire covering parental knowledge and attitude on COVID-19 symptoms, transmission, protective measures, and government satisfaction.
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