The relationship between eating behavior and anxiety, depression, and comorbidity among rural residents in China

Abstract

Introduction This study examined the association between eating behavior and anxiety, depression, and comorbidity among rural residents. Methods This cross-sectional study used data from the Adult Chronic Disease and Nutrition Surveillance program in Pingnan. Healthy diet scores and dietary patterns were used to assess eating behavior. Two-Step Cluster Analysis (TCA) was employed to determine the dietary patterns. The Generalized Anxiety Disorder-7 (GAD-7) and the Patient Health Questionnaire-9 (PHQ-9) were applied to estimate anxiety and depression symptoms, respectively. Binary logistic regression models were conducted to explore the effects of healthy diet scores and dietary patterns on anxiety, depression, and comorbidity. Results Binary logistic regression results showed that rural residents with a healthy diet score of 0 and 1 were associated with a higher detection rate for anxiety (OR = 2.53, 95% CI = 1.29–4.96; OR = 2.31, 95% CI = 1.23–4.36, respectively), depression (OR = 2.65, 95% CI = 1.24–5.66; OR = 2.47, 95% CI = 1.20–5.05, respectively), and comorbidity (OR = 3.15, 95% CI = 1.27–7.84; OR = 2.42, 95% CI = 1.01–5.78, respectively). Those who had “moderately healthy pattern” and “unhealthy pattern” were associated with a higher detection rate of anxiety (OR = 1.67, 95% CI = 1.20–2.34; OR = 1.69, 95% CI = 1.14–2.50, respectively), depression (OR = 1.67, 95% CI = 1.17–2.39; OR = 1.61, 95% CI = 1.05–2.45, respectively), and comorbidity (OR = 1.88, 95% CI = 1.20–2.95; OR = 2.15, 95% CI = 1.29–3.57, respectively). Conclusions Unhealthy eating behavior may be associated with a higher detection rate of anxiety, depression, and comorbidity in rural residents. It is critical to implement dietary intervention programs for rural residents to develop healthy eating behavior attributed to reductions in anxiety and depression.

Systematic Review and Meta-Analysis of Interventions to Improve Children's Social Information-Processing Skills

“…Prior studies suggest that SIP skills are related strongly to developmental outcomes in childhood and adolescence. Biased information-processing is associated with internet addiction (Hsieh et al, 2019;Jiang et al, 2016), elevated risk for experimentation with harmful or illicit substances (Chen, 2016;Crawley et al, 2015;McLaughlin et al, 2020;Nickoletti & Taussig, 2006), alcohol misuse (Ogle & Miller, 2004;Sayette et al, 1993), fighting and other violent behavior (Liu, 2015;Terzian et al, 2015;Verhoef et al, 2022), bullying (Espelage et al, 2015;Liu et al, 2021;Luo, 2010), gambling (Smith et al, 2012), theft (Fontaine, 2006), robbery (Nas et al, 2005), depressed mood and symptoms (Geukens et al, 2022;Li et al, 2016;Liu et al, 2016;Pössel et al, 2006;Ross et al, 2023;Venta et al, 2014), and suicidal ideation (Fan, 2005;Yao, 2015). Maladaptive behavior such as disruptive comportment in the classroom, delinquent or criminal involvement in the community, and noncompliance in the home are associated with biased information-processing (Arsenio et al, 2009;Fang, 2006;Lemerise & Maulden, 2010;Orue et al, 2021;Zhong et al, 2015).…”