BACKGROUND: The number of football teams in senior categories has increased. As outdoor sports entail players being exposed to sunlight, playing football may contribute to maintaining vitamin D stores and body mineral density while preventing osteoporosis. This study aimed to determine the bone mineral density and vitamin D levels in middle-aged premenopausal female football players.
METHODS: Participants were premenopausal females in their 40s. We evaluated bone mineral density of the second to the fourth lumbar vertebrae and femoral neck, serum 25-hydroxy vitamin D (25-OHD) levels, which is an indicator of vitamin D stores, and body composition. In addition, we administered a questionnaire survey on exercise habits and lifestyle. Ninety-two participants were categorised into three groups: the football group (n = 27), volleyball group (n = 40), and non-exercise group (n = 25).
RESULTS: Bone mineral density was higher in the football and volleyball groups than in the non-exercise group (P < 0.01). The volleyball group had a significantly higher bone mineral density of the lumbar spine and femoral neck than the non-exercise group (P < 0.01). The football group had a significantly higher bone mineral density of the femoral neck than the non-exercise group (P < 0.01). Although the football group had played fewer years than the volleyball group (P < 0.01), serum 25-OHD levels were the highest in the football group and were significantly higher than those in the volleyball and non-exercise groups (P < 0.01).
CONCLUSIONS: Middle-aged premenopausal football players had higher body vitamin D levels and bone mineral densities than non-active females. These results suggest that playing football may contribute to the prevention of osteoporosis.
BACKGROUND: UMIN Clinical Trials Registry UMIN000054235. 2024/04/23. Retrospectively registered.

UNASSIGNED: The rise in the elderly population has brought attention to mild cognitive impairment (MCI). Sleep disorders also affect many older adults, indicating an important area of research for disturbed sleep and faster brain aging. This population-based study aimed to investigate the association of several sleep indicators with cognitive performance.
UNASSIGNED: This cross-sectional study focused on adults over 50 in the Ardakan Cohort Study on Aging (ACSA). MCI was evaluated using the Mini-Mental State Examination (MMSE) and the Abbreviated Mental Test score (AMTS) in literate and illiterate individuals. Sleep characteristics were collected using the Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale, and Berlin questionnaire. The logistic regression models were used to analyze the data.
UNASSIGNED: Overall, 3,380 literate and 1,558 illiterate individuals were included. In both groups, participants with MCI had a significantly higher PSQI global score (p < 0.05). Also, among the literate individuals, a significantly higher risk of having sleep-disordered breathing and poor sleep quality was observed in participants with MCI (p < 0.05). In illiterate individuals, higher sleep latency than 15 min increased odds of MCI (p < 0.05). However, after adjusting for all variables, only literate individuals with a sleep duration of more than 8 h had 66 percent increased odds of having MCI (p = 0.033).
UNASSIGNED: Sleep duration might be associated with cognitive function in the older Iranian population. Our findings underscore the importance of considering sleep patterns in relation to cognitive health.

BACKGROUND: Cardiovascular disease (CVD) is a major global health issue, primarily caused by atherosclerosis. Psychological factors may play a role in the development and progression of CVD. However, the relationship between psychological factors and atherosclerosis is complex and poorly understood. This study, therefore, aimed to examine the association of psychological factors with (i) coronary and carotid atherosclerosis and (ii) cardiovascular health according to Life\'s Essential 8, in a large Swedish cohort.
METHODS: This study utilized data from the Swedish CArdioPulmonary bioImage Study (SCAPIS), a large population-based project including individuals aged 50 to 65 years. Several psychological factors were analysed: general stress, stress at work, financial stress, major adverse life events, locus of control, feeling depressed, and depression. Coronary atherosclerosis was assessed as the degree of stenosis by coronary computed tomography angiography (CCTA) and coronary artery calcification (CAC) scores. Carotid atherosclerosis was examined using ultrasound. In addition, cardiovascular health was examined using the Life\'s Essential 8 concept created by the American Heart Association, which includes four health behaviors and four health factors. Associations were examined through binomial logistic regression (atherosclerosis variables) and linear regression (Life\'s Essential 8).
RESULTS: A total of 25,658 participants were included in the study. The presence of financial stress, higher locus of control, and depression was weakly associated with increased odds of CCTA stenosis, CAC ≥ 1 and the presence of carotid plaques (all odds ratios: 1.10-1.21, 95% CI: 1.02-1.32) after adjusting for sex, age, and study site. However, these associations were attenuated and not statistically significant after additional adjustments for socioeconomic factors and health behaviors. Conversely, we observed inverse associations between the worst category for all psychological factors and cardiovascular health according to Life\'s Essential 8 score (all standardized β-Coefficient ≤-0.033, p < 0.001).
CONCLUSIONS: While there were no strong and consistent associations between psychological factors and atherosclerosis, the consistent associations of psychological factors with cardiovascular health by Life\'s Essential 8 may have relevance for future CVD risk. However, further studies are needed to elucidate the long-term effects of psychological factors on atherosclerosis development and cardiovascular health.

This study aims to investigate sex differences and risk factors for self-reported suicide attempts among Chinese Han middle-aged patients with first-episode drug-naïve (FEDN) anxious depression (AD). A total of 1796 patients with FEDN major depressive disorder were enrolled in this study, including 341 middle-aged patients with AD. We compared the prevalence, demographics, and clinical characteristics of suicide attempts between male and female patients with FEDN middle-aged AD. We also explored the risk factors for self-reported suicide attempts in this population using binary logistic regression analysis. The male/female ratio was 91/250 and the age of onset was 51.50 ± 4.13. Our results showed that there were no significant sex differences in the prevalence of self-reported suicide attempts in middle-aged patients with FEDN AD. However, we did find significant differences in several demographic and clinical characteristics between self-reported suicide attempters and non-suicide attempters. Moreover, severe anxiety, measured by the Hamilton Anxiety Rating Scale score, was identified as a risk factor for self-reported suicide attempts in female middle-aged AD patients. Additionally, elevated thyroid peroxidase antibody (TPOAb) levels were linked to self-reported suicide attempts in male AD patients. Our findings suggest that there are no significant sex differences in the prevalence of self-reported suicide attempts in this population, but there may be sex-specific risk factors for self-reported suicide attempts in middle-aged AD. Clinical psychiatrists need to pay attention to thyroid hormone levels in middle-aged anxious depression.

Successful adaptation to post-transplantation life in patients who have undergone kidney transplants is crucial. The psychosocial needs of people with kidney transplants are closely related to the health of the transplanted kidney. If transplant recipients cannot adapt to the effects of the transplant, their physical and mental health will be seriously impaired.
The purpose of this study was to explore the early post-transplant adaptation experience of young and middle-aged persons with kidney transplants in China based on the Roy adaptation model.
A qualitative descriptive study was conducted using semi-structured interviews. Fifteen young and middle-aged persons with kidney transplant were recruited from a tertiary hospital in China between September 2022 and March 2023 through purposive sampling. Data were analyzed using a thematic analysis approach.
This study identified 4 themes: (1) \"two-sided\" changes in physiological functioning, (2) \"dawn and darkness\" (conflicting perceived emotions about the future), (3) role functioning adaptation conflict and impairment, and (4) social isolation and the challenges of coping.
This study found that early post-transplant adaptation in young and middle-aged people with kidney transplant included both positive and negative experiences, and these findings can provide new insights into research related to successful post-operative adaptation.

BACKGROUND: Coronary artery disease (CAD) is the most common cardiovascular disease (CVD) and the main cause of mortality in developed and developing countries. Physical activity and nutritional behaviors are modifiable factors in people at the risk of CAD and its risk factors; thus, the present study aimed to design, implement, and evaluate an intervention based on the social cognitive theory for physical activity and nutritional behaviors in the middle-aged population at the risk of CAD residing in Bandar Abbas city.
METHODS: The present study will be conducted in three phases: qualitative, cross-sectional, and community-based intervention. The middle-aged population with less than 150 minutes of physical activity a week with at least one other risk factor of CAD (hyperlipidemia, hypertension, diabetes, overweight and obesity, smoking) will be included in the study. In the qualitative phase of study, the participants will be selected with maximum diversity and with the aim of obtaining comprehensive information to clarify the nature and dimensions of the phenomenon in question. The cross-sectional phase aimed to determine the intensity of physical activity and nutritional behaviors. By analyzing the data obtained from the cross-sectional phase, the most important constructs of the social-cognitive theory in physical activity and nutritional behaviors will be determined, and accordingly, an effective intervention will be designed. The third phase of the pre-test-post-test intervention study will include a randomized control group. The interventions will be a combination of face-to-face meetings and the use of educational technologies. Individuals in the control group will not undergo the educational intervention. Those in the intervention group will be evaluated in two phases (before the implementation of the intervention, and 3 months after the intervention).
CONCLUSIONS: The findings of the present study can be used as a strategic plan to help policy makers to strengthen CVD prevention and management alternatives to include physical activity and nutritional behavior as part of their preventive measures.

OBJECTIVE: Previous findings on the association between sleep duration, changes in sleep duration, and long-term dementia risk were mixed. Thus, we aimed to investigate the association between midlife sleep duration, its change, and dementia.
METHODS: We recruited 41,731 Japanese (40-71 years) and documented their habitual sleep duration at baseline (1990-1994) and a 5-year follow-up survey. Changes in sleep duration were calculated as differences between baseline and 5-year measurements. We identified dementia using the Long-Term Care Insurance system (2007-2016). Hazard ratios (HRs) and 95% confidence intervals (CIs) of dementia were calculated using the area-stratified Cox model.
RESULTS: During 360,389 person-years, 4621 participants exhibited dementia. The multivariable HRs of dementia compared with 7 h of sleep were 1.13 (95% CI: 0.98-1.30) for 3-5 h, 0.93 (0.85-1.02) for 6 h, 1.06 (0.99-1.14) for 8 h, 1.13 (1.01-1.27) for 9 h, and 1.40 (1.21-1.63) for 10-12 h with a J-shaped fashion (p for linear < 0.001 and quadratic < 0.001). For its change, the HRs compared with no change were 1.02 (0.90-1.16) for decreased ≥2 h, 0.95 (0.88-1.03) for decreased 1 h, 1.00 (0.91-1.09) for increased 1 h, and 1.37 (1.20-1.58) for increased ≥2 h. The positive association for decreased sleep duration was observed in individuals with an initial sleep duration of ≤7 h, but not in those with ≥8 h (p for interaction = 0.007).
CONCLUSIONS: Long and increased sleep duration was associated with a higher risk of dementia.

The association between blood glucose and fractures is not consistent across populations. Blood glucose was associated with fractures five years later in middle-aged and elderly men who underwent health examinations in Japan, respectively. Blood glucose-targeted fracture alerts are crucial for middle-aged and elderly individuals.
The evidence on blood glucose as a fracture risk marker has not been adequately examined in various populations, and there are no studies in middle-aged Japanese. We aimed to determine the association between blood glucose status and self-report fractures among middle-aged and elderly Japanese men.
The data from the Japan Multi-Institutional Collaborative Cohort (J-MICC) Okazaki Study were used. Hemoglobin A1c (HbA1c) and fasting plasma glucose (FPG) measured at baseline physical examinations were examined for association with fractures questioned five years later. Analyses were performed for the middle-aged and elderly respondents.
The HbA1c was dichotomized into 290 (11.8%) with HbA1c ≥ 6.5% and 2165 (88.2%) with HbA1c < 6.5%. Compared to the group with an HbA1c < 6.5, the odds ratio for the risks of fracture among the group with an HbA1c ≥ 6.5% were 3.46 (95% confidence interval (CI), 1.75-6.84) in Model 1 (adjusted for age) and 3.60 (95% CI, 1.77-7.34) in Model 2 (adjusted for various confounding factors). These associations were also observed in both middle-aged and elderly generations, whereas no association was observed for FPG.
Among Japanese men who have undergone physical examinations, those with an HbA1c of 6.5% or higher are at higher risk for fractures, and HbA1c-targeted fracture alerts are crucial for middle-aged and elderly individuals.

UNASSIGNED: Sleep is essential to all human body functions as well as brain functions. Inadequate sleep quantity and poor sleep quality have been shown to directly affect cognitive functioning and especially memory. The primary aim of the present study was to investigate the association of sleep quality with cognitive abilities cross-sectionally in a middle-aged Greek population and secondarily to examine this association prospectively in a smaller group of these participants.
UNASSIGNED: A total of 2112 healthy adults aged 25-70 years (mean: 46.7±11.5) from the Epirus Health Study cohort were included in the analysis and 312 of them participated in secondary prospective analysis. Sleep quality was measured by the Pittsburgh Sleep Quality Index (PSQI) scale and cognition was assessed in primary cross-sectional analyses with three neuropsychological tests, namely the Verbal Fluency test, the Logical Memory test and the Trail Making test, and in secondary prospective analyses with online versions of Posner cueing task, an emotional recognition task, the Corsi block-tapping task and the Stroop task. Statistical analysis was performed using multivariable linear regression models adjusted for age, sex, education, body mass index and alcohol consumption.
UNASSIGNED: Attention/processing speed was the only cognitive domain associated cross-sectionally with PSQI score. Specifically, participants with better self-reported sleep quality performed faster on the Trail Making Test - Part A (β= 0.272 seconds, 95% CI 0.052, 0.493).
UNASSIGNED: Further studies are needed to clarify the association of sleep quality with cognition, especially in middle-aged people that are still in productive working years.

In the context of population aging, advances in healthcare technology, and growing interest in healthy aging and higher quality of life (QOL), have gained central focus in public health, particularly among middle-aged adults.
This study presented an optimal prediction model for QOL among middle-aged South Korean adults (N = 4,048; aged 30-55 years) using a machine-learning technique. Community-based South Korean population data were sampled through multistage stratified cluster sampling. Twenty-one variables related to individual factors and various lifestyle patterns were surveyed. QOL was assessed using the Short Form Health Survey (SF-12) and categorized into total QOL, physical component score (PCS), and mental component score (MCS). Seven machine-learning algorithms were used to predict QOL: decision tree, Gaussian Naïve Bayes, k-nearest neighbor, logistic regression, extreme gradient boosting, random forest, and support vector machine. Data imbalance was resolved with the synthetic minority oversampling technique (SMOTE). Random forest was used to compare feature importance and visualize the importance of each variable.
For predicting QOL deterioration, the random forest method showed the highest performance. The random forest algorithm using SMOTE showed the highest area under the receiver operating characteristic (AUC) for total QOL (0.822), PCS (0.770), and MCS (0.786). Applying the data, SMOTE enhanced model performance by up to 0.111 AUC. Although feature importance differed across the three QOL indices, stress and sleep quality were identified as the most potent predictors of QOL. Random forest generated the most accurate prediction of QOL among middle-aged adults; the model showed that stress and sleep quality management were essential for improving QOL.
The results highlighted the need to develop a health management program for middle-aged adults that enables multidisciplinary management of QOL.