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1.
Ann Med ; 56(1): 2332424, 2024 Dec.
Article in English | MEDLINE | ID: mdl-38527416

ABSTRACT

The associations between multiple sleep characteristics and smoking behavior are inconsistent, and it is unclear which sleep characteristics are most crucial for tobacco prevention. This study aimed to explore the associations between smoking status/intensity and multiple sleep characteristics and to identify the potential core domain of smoking-related sleep using network analysis. Data were obtained from a survey of cancer-related risk factors among Chinese adults. Logistic regression models were used to quantify the associations between sleep characteristics and smoking status/intensity. Network analyses were employed to identify the core sleep characteristics. A total of 5,228 participants with a median age of 44 years old were included in the study. Current smoking was significantly positively associated with long nap time, difficulty falling asleep, late bedtime, getting up after 7 am, and waking up earlier than expected. There was significant positive association between current smoking and short sleep duration in young adults under 45 years old. Late bedtime and getting up after 7 am were only associated with current heavy smoking, but not current light smoking. Network analyses showed that multiple smoking-related sleep characteristics were interconnected, with difficulty falling asleep and late bedtime as central characteristics in the network. The study found that the associations between sleep characteristics and smoking varied by age and smoking intensity and highlights the potential benefits of sleep health promotion in smoking cessation, with a particular focus on difficulty falling asleep and late bedtime.


Subject(s)
Sleep Initiation and Maintenance Disorders , Sleep , Young Adult , Humans , Adult , Middle Aged , Smoking/adverse effects , Smoking/epidemiology , Surveys and Questionnaires , China/epidemiology
2.
J Affect Disord ; 337: 120-127, 2023 09 15.
Article in English | MEDLINE | ID: mdl-37263360

ABSTRACT

BACKGROUND: The health benefits of domain-specific physical activity (PA) on depressive symptoms were inconclusive. Few studies explored PA patterns and depressive symptoms. This study aimed to investigate the associations of PA domains and patterns with depressive symptoms. METHODS: We conducted a cross-sectional study in China with 5047 adults. Latent class analysis was applied to identify the PA patterns and logistic regression analysis was used to calculate odds ratios (ORs) and 95 % confidence intervals (CIs). RESULTS: The ORs (95 % CIs) for the active versus inactive groups were 0.79 (0.69-0.91) for leisure-time PA, 0.57 (0.49-0.65) for transport PA, 0.95 (0.82-1.09) for household PA, and 1.38 (1.18-1.62) for occupational PA. We found non-linear associations between leisure-time PA, transport PA and depressive symptoms, with the lowest risk at 11 METs-h/week of leisure-time PA (equal to 147 min/week moderate PA or 88 min/week vigorous PA) and 23 METs-h/week of transport PA. There was a marginal inverse association with household PA for men while not for women. We identified four PA patterns and found a lower risk of depressive symptoms associated with "low occupational PA pattern" versus "moderate PA level pattern" (0.45 (0.38-0.52)). LIMITATIONS: Given the cross-sectional design, causality cannot be inferred. CONCLUSIONS: Our study supported an inverse association of leisure-time PA and transport PA with depressive symptoms and a positive association of occupational PA. The observed inconsistent association of household PA among men and women, and the finding that "low occupational PA pattern" was associated with a lower risk of depressive symptoms warrant further investigation.


Subject(s)
Depression , Leisure Activities , Adult , Male , Humans , Female , Cross-Sectional Studies , Depression/epidemiology , Surveys and Questionnaires , Exercise
3.
Nutrients ; 13(10)2021 Oct 09.
Article in English | MEDLINE | ID: mdl-34684545

ABSTRACT

Children in China's poor rural areas often have insufficient protein and micronutrient intake. There is little research about the effect of milk and egg supplementation published on these children. A prospective randomized controlled trial was applied to evaluate the effect of milk and egg supplementation on the growth and fitness of poor rural primary school students in southwest China whose physical development was below national averages. A total of 955 healthy students aged 6-13 years old were recruited. The intervention group (538) received 200 g milk and 50 g braised egg at each school day, while the control group (417) kept their normal diet and received no extra supplementation. Serum vitamin D levels were measured by an enzyme-linked immunosorbent assay. A mixed linear model with repeated measures was performed to analyze the efficacy of the supplementation. Statistically significant interactions between groups and time were seen in weight in boys, but not in girls. Significant improvement in vitamin D levels, the broad jump, and the 8 × 50 m shuttle run were observed in both genders. Therefore, the supplementation of egg and milk for two years might have a positive effect on growth and physical fitness and decreasing vitamin D deficiency in poor rural Chinese children.


Subject(s)
Nutritional Status , Physical Fitness/physiology , Rural Population , Schools , Students , Animals , Body Height , Body Weight , Case-Control Studies , Child , China , Eating , Eggs , Female , Humans , Male , Milk/chemistry , Movement , Vitamin D/blood
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