인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Abstract Background In 2018, the World Health Assembly approved a new Global Action Plan on Physical Activity 2018–2023 and endorsed a global target to reduce global levels of physical inactivity in adults and adolescents by 15% by 2030. Egyptian older adults, similar to those in industrial countries, have also reported a lack of physical activity. Earlier data revealed that less than 10% of the older Egyptian population practice regular exercise; of them, the most inactive population were those over the age of 60 years old. A comprehensive understanding of the patterns of physical activity (PA), as well as sedentary and sleep behaviors, would positively impact health professionals and policymakers in adopting national campaigns that promote a healthy, active lifestyle among Egyptian seniors. Results The current study included 679 participants, who were invited to complete a self-reported sedentary, physical activity, and sleep quality self-assessment questionnaire. Our results revealed that only 37% of the participants do not adopt a sedentary lifestyle. Moreover, 55.67% of the participants rarely practice regular PA, and only 30.63% of the participants were physically active. Results of multivariate regression analysis showed that age, female sex, and high BMI were predictors of low PA score. Conclusion The majority of the Egyptian adults and older adults included in this work failed to meet the WHO and the national Egyptian recommendations for physical activity per day. Older adults should do varied multicomponent physical activity at moderate or greater intensity on 3 or more days a week in order to enhance functional capacity, prevent falls, and ensure high-quality sleep. Non-classic approaches, such as social media, can be used to positively change people’s physical activity and diet-related behaviors.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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