A study on the relationship between recreational physical activity and audiovisual difficulty for older adults.

Audiovisual difficulty are especially common in older adults. Audiovisual difficulty seriously affect the quality of life of older adults in their later years. It is a top priority to find out the related factors, and to intervene and prevent them. The purpose of this study was to explore the relationship between recreational physical activities and audiovisual difficulty in older adults. We hope that older adults can reduce the risk of hearing and visual difficulty through scientific physical activity. A total of 4,886 people were sampled from the National Health and Nutrition Examination Survey (NHANES) from 2013 to 2018. Recreational physical activity was assessed through the Global Physical Activity Questionnaire (GPAQ); Hearing and visual difficulty were assessed using the Disability Questionnaire (DLQ). Chi-square test was used for categorical variables and rank sum test was used for measurement variables. P < 0.05 was considered statistically significant (bilateral test). After univariate analysis, binary Logistic regression analysis was performed with recreational physical activity as the independent variable, statistically significant demographic variable as the covariate, and hearing and visual difficulty as the dependent variable, respectively. (1) After excluding all confounding variables, recreational physical activity was significantly associated with hearing difficulty (P < 0.001), odds ratio (OR) 0.657 (95% CI 0.5899-0.733); (2) Recreational physical activity was significantly associated with visual difficulty (P < 0.001), OR 0.731 (95% CI 0.630-0.849). (1) Recreational physical activity is the protective factor of hearing difficulty in older adults; (2) Recreational physical activity is a protective factor for visual difficulty in older adults.

Recent tobacco smoking, restaurant and in-car secondhand smoke exposure are associated with depressive symptoms among young adults: a population-based cross-sectional analysis.

The purpose of this study was to evaluate the association between recent tobacco smoking, household secondhand smoke exposure, confined space secondhand smoke exposure and depressive symptoms in young adults after adjustments for each other. Data from NHANES 2013-2018 were extracted. A total of 4129 young adults age 18-35 years (mean age 26.11 ± 5.39 years, 2021 males and 2108 females) were included. Depressive symptoms were screened by PHQ-9. Recent tobacco smoking was assessed through question "smoked tobacco in the last 5 days?". Household secondhand smoke exposure was assessed through question "living with a smoker who smoked inside the house?". Confined space secondhand smoke exposure was assessed by SSEQ. Binary logistic regression models were performed to analyze the associations. Significant association were observed in recent tobacco smoking (OR = 1.593, 95% CI 1.318-1.926) and confined space secondhand smoke exposure (OR = 1.399, 95% CI 1.185-1.651), but not in household secondhand smoke exposure (P = 0.108). Among the different settings of confined space secondhand smoke exposure, restaurant (OR = 1.732, 95% CI 1.120-2.678) and in-car (OR = 1.350, 95% CI 1.102-1.652) exposure were significantly associated with depressive symptom after after fully adjustments.

Association between long-term sedentary behavior and depressive symptoms in U.S. adults.

The study aimed to investigate the association between long-term sedentary behavior (LTSB) and depressive symptoms within a representative sample of the U.S. adult population. Data from NHANES 2017-2018 were used, encompassing information on demographics, depressive symptoms, physical activity (PA), and LTSB. Depressive symptoms were identified using the Patient Health Questionnaire (PHQ-9), with "depressive symptoms" defined as a PHQ-9 score of ≥ 5, and "moderate to severe depressive symptoms (MSDS)" defined as a PHQ-9 score of ≥ 10. PA and LTSB were assessed through the Global Physical Activity Questionnaire, where LTSB was interpreted as sedentary time ≥ 600 min. Restricted Cubic Spline (RCS) curves were utilized to observe potential nonlinear relationships. Binary Logistic regressions were conducted to analyze the associations. A total of 4728 participants (mean age 51.00 ± 17.49 years, 2310 males and 2418 females) were included in the study. Among these individuals, 1194 (25.25%) displayed depressive symptoms, with 417 (8.82%) exhibiting MSDS. RCS curves displayed increased risk of depressive symptoms with prolonged sedentary duration. Logistic regression models indicated significant associations between LTSB and depressive symptoms (OR 1.398, 95% CI 1.098-1.780), and LTSB and MSDS (OR 1.567, 95% CI 1.125-2.183), after adjusting for covariates. These findings suggest that LTSB may act as a potential risk factor for both depressive symptoms and MSDS in the studied population.

The association between different types of physical activity and smoking behavior.

BACKGROUND: Smoking is harmful, which has become a major public health burden. Physical activity may be related to smoking. Physical activity is one of the current methods for smoking control and smoking cessation. Different types of physical activity may have different effect on smoking behavior. OBJECTIVE: The purpose of this study was to identify the direction and extent of the impact of different types of physical activity above moderate intensity (including work physical activity, recreational physical activity, commuter physical activity and sedentary behavior) on smoking behavior. MATERIALS AND METHODS: In this study, a total of 2,015 individuals (1,233 males and 782 females, mean age 54.02±17.31 years) was selected from the representative population aged 20 and above in the National Health and Nutrition Survey of the United States from 2017 to 2018. Physical activity was assessed using the Global Physical Activity Questionnaire (GPAQ) ; the tobacco use questionnaire (SMQ) was used to determine whether the sample had smoking behavior at this stage. Binary Logistic regression analysis was performed with various physical activities as independent variables and smoking behavior as dependent variables. All data were analyzed through Statistical Product and Service Solutions (SPSS) 26.0. RESULTS: After adjusted for all confounding variables, physical activity at work was close to significantly associated with smoking behavior (P=0.053), odds ratio (OR) =1.135 (95%Cl: 0.999-1.289). Recreational physical activity was significantly associated with smoking behavior (P < 0.001), OR=0.729 (95%Cl: 0.639-0.832). Commuting physical activity was significantly associated with smoking behavior (P < 0.001), OR=1.214 (95%Cl:1.048-1.405). Sedentary behavior was significantly associated with smoking behavior (P < 0.001), OR=1.363 (95%Cl: 1.154-1.611). CONCLUSIONS: Given that different types of physical activity have different associations with smoking behavior. Therefore, when physical activity is used as a tobacco control measurement, it is necessary to pay attention to the type and environment of physical activity. Recreational physical activities should be appropriately increased, sedentary behavior should be reduced, and smoking prohibit environment should be expanded as far as possible to achieve better clinical intervention effects.

The association of vitamin D deficiency, age and depression in US adults: a cross-sectional analysis.

BACKGROUND: Depression is an important public health burden, its risk of occurrence is associated with vitamin D deficiency and may also increase with age, while serum vitamin D levels are closely related to age. OBJECTIVE: The purpose of this study was to evaluate whether vitamin D and age are associated with depression after adjustment for each other. MATERIALS AND METHODS: We extracted data from NHANES 2013-2018, including demographic characteristics, depression level, vitamin D level, physical activity, and body measures. A total of 15,156 adults aged 20 years or older (mean age 49.81 ± 17.67 years, 7301 males and 7855 females) were included. Depression was screened by PHQ-9. Vitamin D deficiency was defined by a serum vitamin D level < 30nmol/L. We performed binary logistic regression models to analyze the association between vitamin D, age and depression, respectively. RESULTS: Vitamin D levels were negatively associated with depression (P < 0.001). Vitamin D had a significant effect on depression (OR = 0.776, 95%CI: 0.682-0.884, P < 0.001), the effect remained significant after adjusted for confounding variables (OR = 0.761, 95%CI: 0.663-0.874, P < 0.001). Age was positively associated with depression (P < 0.001) and had a significant effect on depression (OR = 1.079, 98%CI: 1.032-1.128, P = 0.001), the effect remained significant after adjusted for confounding variables (OR = 1.092, 95%CI: 1.040-1.146, P < 0.001). Age and vitamin D levels were positively correlated (P < 0.001), and older age had a significant effect on vitamin D level (OR = 1.526, 95%CI: 1.416-1.645, P < 0.001), the effect remained significant after adjusted for confounding variables (OR = 1.371, 95%CI: 1.263-1.487, P < 0.001). In addition, the prevalence of depression was higher in females (2312/7855, 29.43%) than in males (1571/7301, 21.52%), and the difference was statistically significant (P < 0.001). CONCLUSIONS: Vitamin D deficiency and older age are both associated with higher risk of depression, while older age is a protective factor for vitamin D deficiency.

Validation and application of quantitative PCR assays using host-specific Bacteroidales genetic markers for swine fecal pollution tracking.

Genome fragment enrichment (GFE) method was applied to identify host-specific bacterial genetic markers that differ among different fecal metagenomes. To enrich for swine-specific DNA fragments, swine fecal DNA composite (n = 34) was challenged against a DNA composite consisting of cow, human, goat, sheep, chicken, duck and goose fecal DNA extracts (n = 83). Bioinformatic analyses of 384 non-redundant swine enriched metagenomic sequences indicated a preponderance of Bacteroidales-like regions predicted to encode metabolism-associated, cellular processes and information storage and processing. After challenged against fecal DNA extracted from different animal sources, four sequences from the clone libraries targeting two Bacteroidales- (genes 1-38 and 3-53), a Clostridia- (gene 2-109) as well as a Bacilli-like sequence (gene 2-95), respectively, showed high specificity to swine feces based on PCR analysis. Host-specificity and host-sensitivity analysis confirmed that oligonucleotide primers and probes capable of annealing to select Bacteroidales-like sequences (1-38 and 3-53) exhibited high specificity (>90%) in quantitative PCR assays with 71 fecal DNAs from non-target animal sources. The two assays also demonstrated broad distributions of corresponding genetic markers (>94% positive) among 72 swine feces. After evaluation with environmental water samples from different areas, swine-targeted assays based on two Bacteroidales-like GFE sequences appear to be suitable quantitative tracing tools for swine fecal pollution.

A simple and economical method in purifying dairy goat luteal cells.

As an important cell model, luteal cells are used to study the reproductive cycle and pregnancy maintenance, but there has not yet had a simple and economical method in purifing goat luteal cells. In order to find a good method to isolate and purify the luteal cells from the Guan Zhong dairy goat corpus luteua, we compared the purification efficiency of Percoll density gradient centrifugation method with that of the differential detachment method using trypsin. After using these two methods for isolation, the purified cells were identified by staining for 3ß-hydroxy steroid dehydrogenase activity. Cell diameter measurements and cell counting were used to categorize isolated cells from both methods. Cell proliferation activity of purified cells from both methods were studied by Cell Counting Kit-8 for 8 days. The results showed that, after Percoll discontinuous density gradient centrifugation, the purity of luteal cells was 98.2±1.2% in Percoll density layer of 30-40%. In comparison, the purity of luteal cells isolated in differential detachment by trypsin was 74.3±1.8%. Luteal cells purified from both methods stained positive for 3ß-hydroxy steroid dehydrogenase activity, and cells purified by Percoll centrifugation showed a more rapid cell proliferation rate than cells purified by trypsin. In conclusion, this study has demonstrated that Percoll density gradient centrifugation was superior to the method of differential detachment in cell purification efficiency and in maintenance of cell proliferation activity.

Epitope mapping of a monoclonal antibody against the Gp85 of avian leukosis virus subgroup J.

Avian leukosis virus subgroup J poses a great threat to the poultry industry in China. To reduce the economic losses, a quick method for detection of ALV-J antigen is required for diagnosis and identification of the congenitally transmitting hens. In this study, we report the production and evaluation of one monoclonal antibody (MAb) suitable for achieving these goals. The gp85 gene of avian leukosis virus subgroup J CAUHM01 China isolates was subcloned into the expression vectors pGEX-6p-1 and pET28a and successfully expressed in E. coli. After immunizing BALB/c mice with recombinant His-Jgp85 protein, splenic cells from immunized mice were fused with SP2/0 myeloma cells to produce hybridomas. We isolated and characterized one ALV-J gp85-specific MAb by determining its titer, affinity and IgG subclass. In addition, we performed epitope mapping and determined the epitope for the MAb 1E3 to be 81-92 aa of ALV-J gp85 protein (LPWDPQELDILG). Bioinformatics analysis and IFA studies revealed that this epitope is conserved among all ALV-J isolates and that this antibody could serve as a useful reagent for ALV-J detection and diagnosis.