这项研究旨在确定哪个社交网络,人口统计学,和健康指标变量能够预测中年及以后加拿大成年人高营养风险的发展,使用加拿大老龄化纵向研究的数据。多变量二项logistic回归用于检查随访时高营养风险发展的预测因素,基线后3年。在基线,35.0%的参与者处于高营养风险,42.2%的参与者在随访中处于高风险。社会支持水平较低,社会参与度较低,抑郁症,自我评估的健康老龄化与随访时高营养风险的发展有关。显示这些因素的个体应积极筛查营养风险。
This study aimed to determine which social network, demographic, and health-indicator variables were able to predict the development of high nutrition risk in Canadian adults at midlife and beyond, using data from the Canadian Longitudinal Study on Aging. Multivariable binomial logistic regression was used to examine the predictors of the development of high nutrition risk at follow-up, 3 years after baseline. At baseline, 35.0 per cent of participants were at high nutrition risk and 42.2 per cent were at high risk at follow-up. Lower levels of social support, lower social participation, depression, and poor self-rated healthy aging were associated with the development of high nutrition risk at follow-up. Individuals showing these factors should be screened proactively for nutrition risk.