Humans ; Aged ; Processing Speed ; Cross-Sectional Studies ; Cognition ; Hearing Loss/psychology* ; Cohort Studies ; Cognitive Dysfunction

Objective: To explore the relationship between nutrient-related dietary pattern and mild cognitive impairment (MCI) in middle-aged and elderly people. Methods: A total of 6 444 middle-aged and elderly people aged ≥55 years were selected in 2018 China Health and Nutrition Survey. MCI was evaluated by Mini-Mental State Examination, and the intakes of various foods were obtained by consecutive 3-day 24-hour dietary survey and weighing method. The intakes of various nutrients and total dietary energy were calculated based on the food composition table. Demographic and social information, lifestyle and health status of the respondents were obtained through questionnaire survey and physical measurements. In this study, vitamin C, vitamin E, zinc, iron, copper and selenium were selected as dependent variables. Nutrient-related dietary patterns were extracted by reduced rank regression method, and the relationship between dietary patterns and MCI was analyzed by multivariate logistic regression model. Results: Six dietary patterns were extracted in this study, and dietary pattern 1 with the highest explanatory degree was selected for subsequent analysis. Dietary pattern 1 was characterized by higher intakes of legume products, vegetables, fruits, nuts, pork, aquatic products and plant oil. Multivariate logistic regression analysis showed that the risk of MCI was lower in Q₄ dietary score group than in Q₁ dietary score group (OR=0.69, 95%CI: 0.49-0.98) in the 55-64 age group. In people with sleep duration of 8 hours per day, the risk of MCI was reduced in Q₂, Q₃ and Q₄ dietary score groups compared with the Q₁ dietary score group, with OR values of 0.68 (95%CI: 0.51-0.92), 0.67 (95%CI: 0.49-0.92) and 0.65 (95%CI: 0.45-0.92), respectively. Interaction analysis showed that the risk for MCI increased in those aged 65-74 years and ≥75 years compared with those aged 55-64 years in Q₁ dietary score group. However, the risk for MCI decreased in both age groups as dietary pattern scores increased. Compared with those with sleep duration less or more than 8 hours per day in Q₁ dietary score group, those with sleep duration of 8 hours per day in Q₂ and Q₃ dietary score groups had a reduced risk for MCI. Conclusion: Dietary patterns with higher intakes of legume products, vegetables, fruits, nuts, pork, aquatic products, and plant oil are negatively associated with MCI in people aged 55-64 years and those who slept 8 hours per day, and may reduce the risk of MCI with aging.
Aged ; Middle Aged ; Humans ; Feeding Behavior/psychology* ; Diet ; Cognitive Dysfunction/epidemiology* ; Nutrients ; Vegetables ; China/epidemiology*

Objective: To investigate the level of psychosocial factors in workplace and their health effects among workers in a natural gas field. Methods: A prospective and open cohort of natural gas field workers was established to study the level of workplace psychosocial factors and their health effects, with a follow-up every 5 years. In October 2018, a cluster sampling method was used to conduct a baseline survey of 1737 workers in a natural gas field, including a questionnaire survey on demographic characteristics, workplace psychosocial factors and mental health outcomes, physiological indicators such as height and weight, and biochemical indicators such as blood routine, urine routine, liver function and kidney function. The baseline data of the workers were statistically described and analyzed. The psychosocial factors and mental health outcomes were divided into high and low groups according to the mean score, and the physiological and biochemical indicators were divided into normal and abnormal groups according to the reference range of normal values. Results: The age of 1737 natural gas field workers was (41.8±8.0) years old, and the length of service was (21.0±9.7) years. There were 1470 male workers (84.6%). There were 773 (44.5%) high school (technical secondary school) and 827 (47.6%) college (junior college) graduates, 1490 (85.8%) married (including remarriage after divorce), 641 (36.9%) smokers and 835 (48.1%) drinkers. Among the psychosocial factors, the detection rates of high levels of resilience, self-efficacy, colleague support and positive emotion were all higher than 50%. Among the mental health outcomes evaluation indexes, the detection rates of high levels of sleep disorder, job satisfaction and daily stress were 41.82% (716/1712), 57.25% (960/1677) and 45.87% (794/1731), respectively. The detection rate of depressive symptoms was 22.77% (383/1682). The abnormal rates of body mass index (BMI), triglyceride and low density lipoprotein were 46.74% (810/1733), 36.50% (634/1737) and 27.98% (486/1737), respectively. The abnormal rates of systolic blood pressure, diastolic blood pressure, uric acid, total cholesterol and blood glucose were 21.64% (375/1733), 21.41% (371/1733), 20.67% (359/1737), 20.55% (357/1737) and 19.17% (333/1737), respectively. The prevalence rates of hypertension and diabetes were 11.23% (195/1737) and 3.45% (60/1737), respectively. Conclusion: The detection rates of high level psychosocial factors in natural gas field workers are high, and their effects on physical and mental health remain to be verified. The establishment of a cohort study of the levels and health effects of psychosocial factors provides an important resource for confirming the causal relationship between workplace psychosocial factors and health.
Humans ; Male ; Adult ; Middle Aged ; Natural Gas ; Cohort Studies ; Prospective Studies ; Oil and Gas Fields ; Workplace/psychology* ; Surveys and Questionnaires

Objective: To understand the depression status and its influencing factors in elderly patients with MS in China and to explore the correlation between various components of elderly MS and depression. Methods: This study is based on the "Prevention and Intervention of Key Diseases in Elderly" project. We used a multi-stage stratified cluster random sampling method to complete 16 199 elderly aged 60 years and above in 16 counties (districts) in Liaoning, Henan, and Guangdong Provinces in 2019, excluding 1 001 missing variables. Finally, 15 198 valid samples were included for analysis. The respondents' MS disease was obtained through questionnaires and physical examinations, and the respondents' depression status within the past half month was assessed using the PHQ-9 Depression Screening Scale. The correlation between elderly MS and its components and depression and its influencing factors were analyzed by logistic regression. Results: A total of 15 198 elderly aged 60 years and above were included in this study, with the prevalence of MS at 10.84% and the detection rate of depressive symptoms in MS patients at 25.49%. The detection rates of depressive symptoms in patients with 0, 1, 2, 3, and 4 MS abnormal group scores were 14.56%, 15.17%, 18.01%, 25.21%, and 26.65%, respectively. The number of abnormal components of MS was positively correlated with the detection rate of depressive symptoms, and the difference between groups was statistically significant (P<0.05). The risk of depression symptoms in patients with MS, overweight/obesity, hypertension, diabetes, and dyslipidemia was 1.73 times (OR=1.73, 95%CI:1.51-1.97), 1.13 times (OR=1.13, 95%CI:1.03-1.24), 1.25 times (OR=1.25, 95%CI:1.14-1.38), 1.41 times (OR=1.41, 95%CI:1.24-1.60), 1.81 times (OR=1.81,95%CI:1.61-2.04), respectively, more than those without the disease. Multivariate logistic regression analysis showed that the detection rate of depressive symptoms in patients with sleep disorders was higher than that with normal sleep (OR=4.89, 95%CI: 3.79-6.32). The detection rate of depressive symptoms in patients with cognitive dysfunction was 2.12 times higher than that in the average population (OR=2.12, 95%CI: 1.56-2.89). The detection rate of depressive symptoms in patients with impaired instrumental activities of daily living (IADL) was 2.31 times (OR=2.31, 95%CI: 1.64-3.26) higher than that in the average population. Tea drinking (OR=0.73, 95%CI: 0.54-0.98) and physical exercise (OR=0.67, 95%CI: 0.49-0.90) seemed to be protective factors for depression in elderly MS patients (P<0.05). Conclusions: Older patients with MS and its component abnormalities have a higher risk of depression than the average population. Sleep disorders, cognitive impairment, and IADL impairment are important influencing factors for depression in elderly MS patients, while tea drinking and physical exercise may help to reduce the risk of the disease.
Aged ; Humans ; Metabolic Syndrome/epidemiology* ; Activities of Daily Living/psychology* ; Depression/epidemiology* ; China/epidemiology* ; Tea ; Risk Factors

Objective: To explore the impact of activities of daily living (ADL) on depression in the elderly and the role of social networks and children's support. Methods: Data used in this study were obtained as participants aged 60 and above from the "China Longitudinal Aging Social Survey 2018",with a sample size of 10 215. ADL, social network and depression were measured on scales. The moderated mediation model was used to analyze the role of social networks and children's support. The SPSS 25.0 software was used for statistical analysis, the PROCESS 3.3 macro program was used to test the moderated mediation effect. Results: A total of 10 760 participants aged 60 and above were included. Activities of daily living showed a direct impact on depression in the elderly (β=-0.090, P<0.01), with social network playing a mediating role (β=0.035, P<0.01; β=-0.064, P<0.05) and children's support played a moderating role (β=-0.029, P<0.05) in the relationship between the elderly's ADL and depression. Conclusions: The social network is an essential buffer to declining ADL's negative impact on depression of older adults. Children's support is a powerful supplement to enhance social networks' positive role and reduce the risk of elderly depression. Exerting the combined advantages of social networks and children's support are important ways to maintain the elderly's mental health.
Activities of Daily Living ; Aged ; Aging/psychology* ; Child ; China/epidemiology* ; Humans ; Middle Aged ; Social Networking ; Social Support

Objective: To construct and compare the dynamic prediction models of the risk of mild cognitive impairment (MCI) in the elderly based on six different cognitive function scales. Methods: Based on longitudinal data from the Alzheimer's Disease Neuroimaging Initiative from 2005 to 2020, Mini-mental state examination (MMSE), functional activities questionnaire (FAQ), Alzheimer's disease assessment scale-cognitive (ADAS-Cog) 11, ADAS-Cog13, ADAS delayed word recall (ADASQ4), and Rey auditory verbal learning test (RAVLT)_immediate were used as longitudinal cognitive function evaluation indicators to assess the longitudinal changes in cognitive function. The joint model was used to analyze association between indicators variation trajectory and survival outcome MCI, and construct the risk prediction model of MCI in the elderly, the linear mixed model was constructed the longitudinal sub-model which described the evolution of a repeated measure over time, a proportional hazards model was constructed the survival sub-model, and the two sub-models were connected through the correlation parameter (α). The areas under the receiver operator characteristic curve (AUC) were used to evaluate the predictive efficacy of the model in the follow-up period of (t, t+Δt). The starting point t was selected at the 30^th, 42^nd, and 54^th month, and the Δt was selected as 15 and 21 months. Based on the prediction model, an example of the research object was selected for dynamic individual predictions of the risk of MCI. Results: Finally, 544 older adults (aged 60 years and above) with normal baseline cognitive status were included, of which 119 cases (21.9%) had MCI during the follow-up process were regarded as the case group, and 425 cases remained normal as the control group. The joint model suggests that the longitudinal trajectories of the six evaluation indicators are all related to the risk of MCI (P<0.001). The risk of MCI decreased by 32.3% (HR=0.677, 95%CI: 0.541-0.846) and 10.8% (HR=0.892, 95%CI: 0.865-0.919) for each one-point increase of MMSE and RAVLT_immediate longitudinal scores. The risk of MCI increased by 53.2% (HR=1.532, 95%CI: 1.393-1.686), 36.2% (HR=1.362, 95%CI: 1.268-1.462), 23.2% (HR=1.232, 95%CI: 1.181-1.285), and 85.1% (HR=1.851, 95%CI:1.629-2.104) for each one-point increase of FAQ, ADAS-Cog11, ADAS-Cog13, and ADASQ4 longitudinal scores. AUC results show that RAVLT_immediate (0.760 2) and ADASQ4 (0.755 8) have higher average prediction efficiency, followed by ADAS-Cog13 (0.743 7), ADAS-Cog11 (0.715 3), FAQ (0.700 8) and MMSE (0.629 5). ADASQ4 joint model was used to provide a dynamic individual prediction of the risk of MCI. The average probability of MCI after five years of follow-up and ten years of follow-up in the example individuals were 8% and 40%, respectively. Conclusions: The RAVLT_immediate and ADASQ4 scales, which are only for memory tests, have high accuracy in predicting the risk of MCI. Using the RAVLT_immediate and ADASQ4 scales as longitudinal cognitive function evaluation indicators to construct a joint model, the results can provide a basis for realizing MCI risk prediction for the elderly.
Aged ; Alzheimer Disease/psychology* ; Cognition ; Cognitive Dysfunction/epidemiology* ; Humans ; Middle Aged ; Neuropsychological Tests ; Risk Factors

With the increasing prominence of population aging, the cognitive decline of the elderly has gradually become a hotspot of clinical research. As a traditional rehabilitation exercise, Tai Chi has been proved to have a positive effect on improving cognitive function and delaying cognitive decline in the elderly. However, the related brain function mechanism is still unclear. In this paper, we collected studies which observed the changes of Tai Chi on brain regions related to cognitive function in the elderly using magnetic resonance imaging (MRI), electroencephalogram (EEG) and functional near-infrared spectroscopy (fNIRS). We summarized relevant studies from perspective of structural and functional changes in the brain. The results showed that Tai Chi may delay and improve cognitive decline in the elderly by reshaping the structure and function of brain regions related to cognitive function such as memory, attention and execution. The effect of Tai Chi for cognitive function may be associated with positive regulation of cardiovascular function, emotion and meditation level of the elderly. In addition, the improvement of cognitive function further enhances the balance of the elderly. We also found that practice time, frequency and intensity of Tai Chi could be factors influencing the improvement of cognitive function and brain function in the elderly.
Aged ; Attention ; Brain/physiology* ; Cognition ; Humans ; Neuroimaging ; Tai Ji/psychology*

Objective To explore the impact of pressure and social support on the quality of life of non-surgical gastric cancer patients. Methods A total of 158 non-surgical patients diagnosed with gastric cancer by gastroscopy from June to August in 2021 were included in this study.The perceived stress scale,multidimensional scale of perceived social support,and the 36-item short form health survey questionnaire [including the physical composite score (PCS) and mental composite score (MCS)] were used for the evaluation of perceived stress,social support,and quality of life,respectively.Spearman correlation analysis was conducted.Mann-Whitney U test,Kruskal-Wallis H test or one-way analysis of variance was employed for the comparison between groups.Bivariate Logistic regression was employed for multiple comparisons. Results Gender (P<0.001),marriage (P=0.022),age (P=0.022),and sickness symptoms (P=0.009) affected the PCS of non-surgical gastric cancer patients.Gender (P=0.016),income (P=0.012),and sickness symptoms (P=0.038) influenced the MCS of non-surgical gastric cancer patients.Perceived pressure was negatively correlated with PCS and MCS (all P<0.001).The three factors of social support were positively correlated with PCS and MCS (all P<0.001).The PCS was associated with gender (OR=0.219,95%CI=0.091-0.525,P=0.001),age (OR=0.969,95%CI=0.942-0.998,P=0.035),sickness symptoms (OR=1.142,95%CI=1.013-1.287,P=0.030),perceived stress (OR=0.921,95%CI=0.860-0.987,P=0.019),and family support (OR=1.195,95%CI=1.064-1.343,P=0.003).The MCS was associated with gender (OR=0.169,95%CI=0.062-0.459,P<0.001),perceived pressure (OR=0.910,95%CI=0.844-0.981,P=0.013),and other support (OR=1.136,95%CI=1.002-1.288,P=0.046). Conclusions The quality of life of the patients with non-surgical gastric cancer was related to perceived pressure and social support.Female and elderly patients have lower quality of life,which requires more attention in clinical work.
Aged ; Female ; Health Surveys ; Humans ; Quality of Life/psychology* ; Social Support ; Stomach Neoplasms ; Surveys and Questionnaires

Adult ; Aged ; Aged, 80 and over ; Beijing ; Cross-Sectional Studies ; Female ; Humans ; Male ; Middle Aged ; Smokers/statistics & numerical data* ; Smoking/psychology* ; Smoking Cessation/statistics & numerical data* ; Young Adult

INTRODUCTION: Frontline healthcare workers (HCWs) exposed to coronavirus disease 2019 (COVID-19) are at risk of psychological distress. This study evaluates the psychological impact of COVID-19 pandemic on HCWs in a national paediatric referral centre. METHODS: This was a survey-based study that collected demographic, work environment and mental health data from paediatric HCWs in the emergency, intensive care and infectious disease units. Psychological impact was measured using the Depression, Anxiety, Stress Scale-21. Multivariate regression analysis was performed to identify risk factors associated with psychological distress. RESULTS: The survey achieved a response rate of 93.9% (430 of 458). Of the 430 respondents, symptoms of depression, anxiety and stress were reported in 168 (39.1%), 205 (47.7%) and 106 (24.7%), respectively. Depression was reported in the mild (47, 10.9%), moderate (76, 17.7%), severe (23, 5.3%) and extremely severe (22, 5.1%) categories. Anxiety (205, 47.7%) and stress (106, 24.7%) were reported in the mild category only. Collectively, regression analysis identified female sex, a perceived lack of choice in work scope/environment, lack of protection from COVID-19, lack of access to physical activities and rest, the need to perform additional tasks, and the experience of stigma from the community as risk factors for poor psychological outcome. CONCLUSION A high prevalence of depression, anxiety and stress was reported among frontline paediatric HCWs during the COVID-19 pandemic. Personal psychoneuroimmunity and organisational prevention measures can be implemented to lessen psychiatric symptoms. At the national level, involving mental health professionals to plan and coordinate psychological intervention for the country should be considered.
Adult ; Anxiety/etiology* ; COVID-19/psychology* ; Depression/etiology* ; Female ; Health Surveys ; Hospitals, Pediatric ; Humans ; Logistic Models ; Male ; Middle Aged ; Multivariate Analysis ; Occupational Diseases/etiology* ; Pandemics ; Personnel, Hospital/psychology* ; Prevalence ; Risk Factors ; Self Report ; Severity of Illness Index ; Singapore/epidemiology* ; Stress, Psychological/etiology*