Associations of lifestyle with mental health and well-being in Chinese adults: a nationwide study

Wang, Xue; Wu, Yibo; Shi, Xiaoqing; Yu, Changhong; Xu, Yu; Xu, Hui; Ma, Yanan; Zang, Shuang

doi:10.3389/fnut.2023.1198796

Cited by 9 publications

(3 citation statements)

References 84 publications

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“…This finding was similar to a Swiss national health survey [ 33 ], which found that lonely participants were prone to unhealthy lifestyle behaviors, such as smoking, being less physically active, and less fruit and vegetable consumption when compared with participants who never felt lonely. A national wide survey among Chinese adults also showed a negative associations between lifestyle scores and loneliness [ 34 ]. The reason why lonely individuals are easier to have a poor healthy lifestyle may be related with their poor self-motivation, low spiritual growth, insufficient social support and increased social isolation [ 35 – 37 ].…”

Section: Discussionmentioning

confidence: 99%

Determinants and outcomes of health-promoting lifestyle among people with schizophrenia

Fan,

Zhou,

Chen

et al. 2024

BMC Psychiatry

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Background Healthy lifestyle is an important protective factor of developing cardiovascular disease in people with schizophrenia. However, little is known about the determinants of lifestyle and its contribution to metabolic syndrome. This study aimed to explore the influencing factors of health-promoting lifestyle (HPL) and its association with metabolic syndrome among people with schizophrenia. Methods A cross-sectional study was conducted in twenty-two primary health centers of Guangzhou, China between December 2022 and April 2023. A total of 538 patients with schizophrenia were recruited through convenience sampling. Self-administered scales, questionnaires, and clinical data were collected. Scales and questionnaires included social-demographic information, Health-Promoting Lifestyles Profile (HPLP-C), UCLA Loneliness Scale (ULS), and International Physical Activity Questionnaire-Short Form (IPAQ-SF). Cluster analyses were used to divide participants into two groups based on the distribution characteristics of HPLP-C scores. Logistic regression models were used to identify factors associated with HPL and the association between HPL and metabolic syndrome. Results There were 271 participants in the high HPL group and 267 participants in the low HPL group. Logistic regression analysis revealed that loneliness posed a risk factor for high HPL, while high education and moderate-vigorous physical activity served as protective factors for high HPL. Low HPL was a risk factor for the prevalence of metabolic syndrome. Conclusions Promotion of high education literacy and a physically active lifestyle should be priority targets in the health management of schizophrenia. Primary healthcare providers can play a pivotal role in assisting patients to mitigate metabolic syndrome by reinforcing healthy lifestyle strategies.

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Section: Discussionmentioning

confidence: 99%

Determinants and outcomes of health-promoting lifestyle among people with schizophrenia

Fan,

Zhou,

Chen

et al. 2024

BMC Psychiatry

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“…We also found that more severe depression symptoms were associated with worse eating behaviors, which was consistent with prior research [ 70 , 71 ]. Individuals with depression symptoms are more likely to increase unhealthy food consumption [ 72 ] and have unhealthy eating habits [ 73 ]. Furthermore, depression affects eating motivations and drives food choices toward less healthy foods [ 74 ].…”

Section: Discussionmentioning

confidence: 99%

Factors associated with eating behaviors in older adults from a socioecological model perspective

Wang,

Wu,

Miao

et al. 2023

BMC Public Health

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Background The eating behaviors of older adults are associated with multiple factors. To promote older adults’ healthy diets, it is imperative to comprehensively study the factors associated with the eating behaviors of the aging population group. This study aimed to probe the associated factors of older adults’ eating behaviors from a socioecological model (SEM) perspective. Methods In 2021, a cross-sectional survey was performed to recruit participants in China. The survey data were analyzed using a multivariate generalized linear model to identify the factors associated with eating behaviors in older adults. Standardized regression coefficients (β) and 95% confidence intervals (CIs) were estimated using a multivariate generalized linear model. Results The survey contained 1147 valid older adult participants. Multivariate generalized linear model results showed that older adults with older age [aged 71–80 (β = -0.61), ≥ 81 (β = -1.12)], conscientiousness personality trait (β = -0.27), and higher family health levels (β = -0.23) were inclined to have better eating behaviors. The older adults with higher education levels [junior high school and high school (β = 1.03), junior college and above (β = 1.71)], higher general self-efficacy (β = 0.09), more severe depression symptoms (β = 0.24), and employment (β = 0.82) tended to have poorer eating behaviors. Conclusions This study identified factors that are specifically associated with older adults’ eating behaviors from an SEM perspective. The comprehensive multiple-angle perspective consideration may be a valuable idea for studying healthy eating behaviors in older adults.

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“…As the key risk factors for anxiety and depression disorders, diet-related factors are faced by people on a daily basis [12]. Many studies have demonstrated that adherence to healthy eating behavior reduces anxiety and depression symptoms [5,[12][13][14][15][16] In contrast, unhealthy eating behavior are related to an increased risk of anxiety and depression [17][18][19]. It is worth noting that people consume meals made up of a variety of food groups, and complicated combinations of foods can have synergistic effects [20,21].…”

Section: Introductionmentioning

confidence: 99%

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

Liu,

Chen,

Chang

et al. 2023

Preprint

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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.

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Associations of lifestyle with mental health and well-being in Chinese adults: a nationwide study

Cited by 9 publications

References 84 publications

Determinants and outcomes of health-promoting lifestyle among people with schizophrenia

Determinants and outcomes of health-promoting lifestyle among people with schizophrenia

Factors associated with eating behaviors in older adults from a socioecological model perspective

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

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