Self-reported Disease Research Articles

Presence of periodontal disease and the incidence of inflammatory arthritides in the general population: data from the UK Biobank.

To investigate the association between periodontal disease and the development of inflammatory arthritides in the general population. In total, 489 125 participants from the UK Biobank without a previous history of RA, AS and PsA were enrolled. The primary outcome was the incidence of inflammatory arthritides, which was a composite of RA, AS and PsA according to the presence of periodontal disease based on self-reported oral health indicators. Multivariate Cox proportional hazard regression analyses using four different models were performed to assess the association between periodontal disease and inflammatory arthritides development. In all, 86 905 and 402 220 individuals were categorized as with and without periodontal disease, respectively. Cox hazard analysis indicated that the presence of periodontal disease was an independent predictor of the occurrence of composite outcomes of inflammatory arthritides, which was also consistent for RA and AS. Significant associations were found to be consistent in the four Cox models and were replicated even when different criteria were used to define periodontal disease. Subgroup analyses indicated that periodontal disease was associated with an increased RA risk in those aged <60 years, and this risk was persistent for both male and female patients and for patients with seropositive/seronegative RA. Self-reported periodontal disease is associated with inflammatory arthritides incidence in participants included in the UK Biobank, particularly for RA and AS. Higher clinical attention and optimal dental care in patients with signs of periodontal disease may be recommended for early disease detection and for reducing this risk.

Gastrointestinal distress as a potential mediator between stress and periodontal inflammation.

Periodontal disease is multifactorial in its aetiology, which encompasses biopsychosocial contributors, including psychological stress. Gastrointestinal distress and dysbiosis have been associated with several chronic inflammatory diseases yet have rarely been investigated with respect to oral inflammation. Given the implications of gastrointestinal distress on extraintestinal inflammation, this study aimed to evaluate the potential role of such distress as a mediator between psychological stress and periodontal disease. Utilizing a cross-sectional, nationwide sample of 828 adults in the USA generated via Amazon Mechanical Turk, we evaluated data collected from a series of validated self-report psychosocial questionnaires on stress, gut-specific anxiety around current gastrointestinal distress and periodontal disease, including periodontal disease subscales targeted at physiological and functional factors. Structural equation modelling was used to determine total, direct and indirect effects, while controlling for covariates. Psychological stress was associated with gastrointestinal distress (ß = .34) and self-reported periodontal disease (ß = .43). Gastrointestinal distress also was associated with self-reported periodontal disease (ß = .10). Gastrointestinal distress likewise mediated the relation between psychological stress and periodontal disease (ß = .03, p = .015). Given the multifactorial nature of periodontal disease(s), similar results were demonstrated using the subscales of the periodontal self-report measure. Associations exist between psychological stress and overall reports of periodontal disease as well as more specific physiological and functional components. Additionally, this study provided preliminary data supporting the potential mechanistic role that gastrointestinal distress plays in connecting the gut-brain and the gut-gum pathways.

Sociodemographic and lifestyle determinants of multimorbidity among community-dwelling older adults: findings from 346,760 SHARE participants

BackgroundThis study aimed to investigate the prevalence of multimorbidity and its associated factors among the older population in China to propose policy recommendations for the management of chronic diseases in older adults.MethodsThis study was conducted based on the 2021 Shenzhen Healthy Ageing Research (SHARE), and involved analysis of 346,760 participants aged 65 or older. Multimorbidity is defined as the presence of two or more clinically diagnosed or non self-reported chronic diseases among the eight chronic diseases surveyed in an individual. The Logistic analysis was adopted to explore the potential associated factors of multimorbidity.ResultsThe prevalences of obesity, hypertension, diabetes, anemia, chronic kidney disease, hyperuricemia, dyslipidemia and fatty liver disease were 10.41%, 62.09%, 24.21%, 12.78%, 6.14%, 20.52%, 44.32%, and 33.25%, respectively. The prevalence of multimorbidity was 63.46%. The mean count of chronic diseases per participant was 2.14. Logistic regression indicated that gender, age, marriage status, lifestyle (smoking status, drinking status, and physical activity), and socioeconomic status (household registration, education level, payment method of medical expenses) were the common predictors of multimorbidity for older adults, among which, being women, married, or engaged in physical activity was found to be a relative determinant as a protective factor for multimorbidity after the other covariates were controlled.ConclusionMultimorbidity is prevalent among older adults in Chinese. Guideline development, clinical management,and public intervention should target a group of diseases instead of a single condition.

Two sides of the same coin? Absolute income and perceived income inadequacy as social determinants of health

BackgroundAbsolute income is commonly used in studies of health inequalities, however it does not reflect spending patterns, debts, or expectations. These aspects are reflected in measures concerning perceived income inadequacy. While health inequities by absolute income or perceived income inadequacy are well established, few studies have explored the interplay of absolute income and perceived income inadequacy in relation to health.MethodsMultiple data sources were linked into a nationally representative dataset (n = 445,748) of Dutch adults (18 +). The association between absolute income, perceived income inadequacy and health (self-reported health, chronic disease and psychological distress) was tested using logistic and Poisson regressions, controlling for various potential confounders (demographics, education) and mastery. Interactions were tested to check the association between perceived income inadequacy and health for different absolute income groups.ResultsPerceived income inadequacy was reported at every absolute income group (with 42% of individuals in the lowest income group and 5% of individuals in the highest income group). Both absolute income and perceived income inadequacy were independently associated with health. The adjusted relative risk (RR) for lowest absolute income group is 1.11 (1.08–1.1.14) and 1.28 (1.24–1.32) for chronic disease and self-reported health respectively, and the Odds Ratio (OR) for psychological distress is 1.28 (1.16–1.42). For perceived income inadequacy the RR’s were 1.41 (1.37–1.46) and 1.49 (1.44–1.54) and the OR for psychological distress is 3.14 (2.81–3.51). Mastery appeared to be an important mediator for the relationship between perceived income inadequacy, poor self-rated health and psychological distress.ConclusionsAbsolute income and perceived income inadequacy reflect conceptually different aspects of income and are independently associated with health outcomes. Perceived income inadequacy may be accounted for in health inequality studies, alongside measures of absolute income. In policy-making, targeting perceived income inadequacy might have potential to reduce health inequalities.

Comparing self-reported health interview survey and pharmacy billing data in determining the prevalence of diabetes, hypertension, and hypercholesterolemia in Belgium

BackgroundAdministrative and health surveys are used in monitoring key health indicators in a population. This study investigated the agreement between self-reported disease status from the Belgian Health Interview Survey (BHIS) and pharmaceutical insurance claims extracted from the Belgian Compulsory Health Insurance (BCHI) in ascertaining the prevalence of diabetes, hypertension, and hypercholesterolemia.MethodsLinkage was made between the BHIS 2018 and the BCHI 2018, from which chronic condition was ascertained using the Anatomical Therapeutic Chemical (ATC) classification and defined daily dose. The data sources were compared using estimates of disease prevalence and various measures of agreement and validity. Multivariable logistic regression was performed for each chronic condition to identify the factors associated to the agreement between the two data sources.ResultsThe prevalence estimates computed from the BCHI and the self-reported disease definition in BHIS, respectively, are 5.8% and 5.9% diabetes cases, 24.6% and 17.6% hypertension cases, and 16.2% and 18.1% of hypercholesterolemia cases. The overall agreement and kappa coefficient between the BCHI and the self-reported disease status is highest for diabetes and is equivalent to 97.6% and 0.80, respectively. The disagreement between the two data sources in ascertaining diabetes is associated with multimorbidity and older age categories.ConclusionThis study demonstrated the capability of pharmacy billing data in ascertaining and monitoring diabetes in the Belgian population. More studies are needed to assess the applicability of pharmacy claims in ascertaining other chronic conditions and to evaluate the performance of other administrative data such as hospital records containing diagnostic codes.

Evaluation of Social Isolation Trajectories and Incident Cardiovascular Disease Among Middle-Aged and Older Adults in China: National Cohort Study.

Although the association between social isolation and the risk of subsequent cardiovascular disease (CVD) is well documented, most studies have only assessed social isolation at a single time point, and few studies have considered the association using repeatedly measured social isolation. This study aimed to examine the association between social isolation trajectories and incident CVD in a large cohort of middle-aged and older adults. This study used data from 4 waves (wave 1, wave 2, wave 3, and wave 4) of the China Health and Retirement Longitudinal Study. We defined the exposure period as from June 2011 to September 2015 (from wave 1 to wave 3) and the follow-up period as from September 2015 to March 2019 (wave 4). On the basis of the inclusion and exclusion criteria, our final analytic sample included 8422 individuals who had no CVD in the China Health and Retirement Longitudinal Study in waves 1 to 3 and were fully followed up in wave 4. Social isolation was ascertained using an extensively used questionnaire at 3 consecutive, biennial time points from waves 1 to 3, and individuals were assigned to 3 predefined social isolation trajectories based on their scores at each wave (consistently low, fluctuating, and consistently high). Incident CVD included self-reported physician-diagnosed heart disease and stroke combined. Cox proportional hazard models estimated the associations of social isolation trajectories with risks of incident CVD, adjusting for demographics, health behaviors, and health conditions. Of the 8422 participants (mean age 59.76, SD 10.33 years at baseline), 4219 (50.09%) were male. Most of the participants (5267/8422, 62.54%) had consistently low social isolation over time and 16.62% (1400/8422) of the participants had consistently high social isolation over the exposure period. During the 4-year follow-up, 746 incident CVDs occurred (heart disease: 450 cases and stroke: 336 cases). Compared with individuals with consistently low social isolation, those with fluctuating social isolation (adjusted hazard ratio 1.27, 95% CI 1.01-1.59) and consistently high social isolation (adjusted hazard ratio 1.45, 95% CI 1.13-1.85) had higher risks for incident CVD after adjusting for demographics (ie, age, sex, residence, and educational level), health behaviors (ie, smoking status and drinking status), and health conditions (ie, BMI; history of diabetes, hypertension, dyslipidemia, chronic kidney disease; use of diabetes medications, hypertension medications, and lipid-lowering therapy; and depressive symptoms scores). In this cohort study, middle-aged and older adults with fluctuating and consistently high social isolation exposure had higher risks of the onset of CVD than those without the exposure. The findings suggest that routine social isolation screenings and efforts to improve social connectedness merit increased attention for preventing CVD among middle-aged and older adults.

Self-Reported Systemic Diseases and Periodontal Status: A Cross-Sectional Study from Turkey

Self-Reported Systemic Diseases and Periodontal Status: A Cross-Sectional Study from Turkey

An augmented likelihood approach for the Cox proportional hazards model with interval-censored auxiliary and validated outcome data-with application to the Hispanic Community Health Study/Study of Latinos.

In large epidemiologic studies, it is typical for an inexpensive, non-invasive procedure to be used to record disease status during regular follow-up visits, with less frequent assessment by a gold standard test. Inexpensive outcome measures like self-reported disease status are practical to obtain, but can be error-prone. Association analysis reliant on error-prone outcomes may lead to biased results; however, restricting analyses to only data from the less frequently observed error-free outcome could be inefficient. We have developed an augmented likelihood that incorporates data from both error-prone outcomes and a gold standard assessment. We conduct a numerical study to show how we can improve statistical efficiency by using the proposed method over standard approaches for interval-censored survival data that do not leverage auxiliary data. We extend this method for the complex survey design setting so that it can be applied in our motivating data example. Our method is applied to data from the Hispanic Community Health Study/Study of Latinos to assess the association between energy and protein intake and the risk of incident diabetes. In our application, we demonstrate how our method can be used in combination with regression calibration to additionally address the covariate measurement error in self-reported diet.

Prevalence and factors associated with undiagnosed and uncontrolled heart disease: A study based on self-reported chronic heart disease and symptom-based angina pectoris among middle-aged and older Indian adults.

This study aimed to examine the prevalence of heart diseases and angina pectoris and associated factors among middle-aged and older Indian adults. Additionally, the study examined the prevalence and associated factors of undiagnosed and uncontrolled heart disease among middle-aged and older adults based on self-reported chronic heart disease (CHD) and symptom-based angina pectoris (AP). We used cross-sectional data from the first wave of the Longitudinal Ageing Study of India, 2017-18. The sample consists of 59,854 individuals (27, 769 males and 32,085 females) aged 45 years and above. Maximum likelihood binary logistic regression models were employed to examine the associations between morbidities, other covariates (demographic factors, socio-economic factors and behavioral factors) and heart disease and angina. A proportion of 4.16% older males and 3.55% older females reported the diagnosis of heart diseases. A proportion of 4.69% older males and 7.02% older females had symptom-based angina. The odds of having heart disease were higher among those who were hypertensive and who had family history of heart disease, and it was higher among those whose cholesterol levels were higher. Individuals with hypertension, diabetes, high cholesterol and family history of heart disease were more likely to have angina than their healthy counterparts. The odds of undiagnosed heart disease were lower but the odds of uncontrolled heart disease were higher among those who were hypertensive than non-hypertensive individuals. Those having diabetes were less likely to have undiagnosed heart disease while among the diabetic people the odds of uncontrolled heart disease were higher. Similarly, higher odds were observed among people with high cholesterol, having stroke and also among those who had a history of heart disease than their counterparts. The present study provided a comparative prevalence of heart disease and agina and their associations with chronic diseases among middle-aged and older adults in India. The higher prevalence of undiagnosed and uncontrolled heart disease and their risk factors among middle-aged and older Indians manisfest alarming public health concerns and future health demand.

Cost-related prescription non-adherence and patient-reported outcomes in systemic lupus erythematosus: The Michigan Lupus Epidemiology & Surveillance program.

Medication access and adherence play key roles in determining patient outcomes. We investigated whether cost-related non-adherence (CRNA) to prescription medications was associated with worse patient-reported outcomes in a population-based systemic lupus erythematosus (SLE) cohort. Sociodemographic and prescription data were collected by structured interviews in 2014-2015 from patients meeting SLE criteria in the established Michigan Lupus Epidemiology & Surveillance (MILES) Cohort. We examined the associations between CRNA and potential confounders such as sociodemographics and health insurance coverage, and outcome measures of SLE activity and damage using multivariable linear regression. 462 SLE participants completed the study visit: 430 (93.1%) female, 208 (45%) Black, and mean age 53.3years. 100 (21.6%) participants with SLE reported CRNA in the preceding 12months. After adjusting for covariates, CRNA was associated with both higher levels of current SLE disease activity [SLAQ: β coeff 2.7 (95% CI 1.3, 4.1), p < 0.001] and damage [LDIQ β coeff 1.4 (95% CI 0.5, 2.4), p = 0.003]. Race, health insurance status, and fulfilling Fibromyalgia (FM) Survey Criteria were independently associated with both higher (worse) SLAQ and LDIQ scores; female sex was further associated with higher SLAQ scores. Patients with SLE who reported CRNA in the previous 12months had significantly worse self-reported current disease activity and damage scores compared to those not reporting CRNA. Raising awareness and addressing barriers or concerns related to financial implications and accessibility issues in care plans may help to improve these outcomes.

Casual association between childhood body mass index and risk of psoriasis: A Mendelian randomization study.

Observational studies have suggested that childhood body mass index (BMI) is associated with the risk of psoriasis. However, their causal relationship remains unclear. In this investigation, we aimed to determine whether an association exists between childhood BMI and psoriasis. Using summary statistics for childhood BMI of European descent from publicly available GWAS meta-analyses (n = 39 620), we conducted Mendelian randomization (MR) research using the inverse variance weighting (IVW), weighted median, and MR-Egger regression techniques. The outcome was a genome-wide association studies (GWAS) for the self-reported non-cancer disease classification psoriasis in the UK Biobank population (total n = 337 159; case = 3871; control = 333 288). We selected instrumental variables from 16 single-molecule polymorphisms that attained genome-wide significance in GWAS on childhood BMI. Using the IVW method, our findings supported a causal relationship between childhood BMI and psoriasis (beta = 0.003, standard error [SE] = 0.001, p = 0.006). Using MR-Egger regression analysis, we evaluated the potential for directional pleiotropy to bias our results (intercept = 0.00039, p-value = 0.247) and found no causal relationship between childhood BMI and psoriasis (beta = -0.002, SE = 0.004, p = 0.625). The weighted median method, however, provided proof of a causal relationship (beta = 0.003, SE = 0.001, p = 0.029). Cochran's Q test and the funnel plot revealed little proof of heterogeneity or asymmetry, indicating the lack of directional pleiotropy. According to the findings of the MR analysis, an increased childhood BMI may be linked to a higher likelihood of psoriasis.

Describiendo la salud oral de los usuarios de warfarina.Una breve comunicación

Aim: To describe the burden of oral diseases and of self-reported periodontal disease of patients under Oral Anticoagulation Therapy (OAT) with warfarin.Methods: A cross-sectional study was conducted. Validated questionnaires assessed self-re-ported periodontal disease and demographic variables. After calibration (Kappa &gt; 0.80), an examiner evaluated dental caries and the need for dental prostheses. Statistical analysis involved proportions and measures of central tendency. Results: The sample consisted of 158 individuals, with a mean age of 58.8 years (SD = 12.1), of which 62.7% of the participants were women. The average DMFT (Decayed, Mis-sing, and Filled Teeth) index was 22.9 (SD = 7.6), with the missing component being the highest (Mean = 16.23). The use of maxillary prosthesis (53.2%) was higher than mandibu-lar (32.3%). The need for mandibular prosthesis reached 66.5%. The percentage of partici-pants that referred gum disease, tooth migration, and tooth mobility was 29.6%, 37.4%, and 30.4%, respectively.Conclusions: The burden of oral diseases among individuals undergoing OAT is worrisome.

937-P: CGM Metrics and HbA1c Are Differentially Associated with Complications and Plasma Metabolites in Long-Duration Type 1 Diabetes

Continuous glucose monitor (CGM)-derived metrics evaluate aspects of glycemic variability that are not assessed with HbA1c alone. However, the comparative contributions of these measures to chronic complications in long-duration Type 1 diabetes (T1D) have not been reported. From the Joslin Medalist Study composed of people with T1D≥50 years, a consecutive 14-day block of CGM data was obtained from a subset of CGM users (n=102) after performing usual activities. In linear regression models, mean historical HbA1c was associated with glucose management indicator (GMI), mean glucose, and time above range (TAR)&amp;gt;250 mg/dL; and inversely with time in range (TIR) 70-180 mg/dL and time below range (TBR)&amp;lt;70 mg/dL (all p&amp;lt;0.001). Medalists with GMI significantly greater (≥0.5%) than mean historical HbA1c also had greater coefficient of variability (p=0.04) and TAR (p=0.01). While retinopathy, nephropathy, and neuropathy were associated with GMI, mean glucose, and TAR (p&amp;lt;0.05), only neuropathy was associated with TBR (p=0.02). In contrast, HbA1c was associated only with self-reported cardiovascular disease in the overall Medalist cohort (n=952; p&amp;lt;0.05). Plasma global metabolomics studies (n=95) revealed that amino acid activation pathways, particularly asparagine and glutamine, were associated with lower TAR and higher TIR; while bile acid synthesis was associated with lower TBR (p&amp;lt;0.05). Meanwhile, amino acid metabolism pathways were associated with lower mean historical HbA1c (p&amp;lt;0.05). Our results suggest that while HbA1c and CGM metrics are closely related in long-duration T1D subjects, they provide differential contributions to the development of complications. Additionally, this is the first study to comprehensively characterize plasma metabolomics with both HbA1c and CGM metrics, which provided novel insights on potential therapeutic targets for glycemic control and variability in T1D, as well as potential protection from complications. Disclosure M.Yu: None. S.Jangolla: None. J.Gauthier: None. N.A.Ziemniak: None. H.Shah: None. G.L.King: Research Support; Janssen Research &amp; Development, LLC. Funding American Diabetes Association (9-18-CVD1-005 to M.C.Y.); Mary K. Iacocca Family Foundation; Thomas J. Beatson, Jr. Foundation

Development and validation of a risk prediction model for visual impairment in older adults

ObjectivesThis study aimed to determine the risk factors that affect visual impairment in older adults for developing and evaluating a visual impairment risk prediction model. MethodsIn this hospital-based unmatched case-control design study, we enrolled 586 participants (411 in the training set and 175 in the internal test set) from the ophthalmology clinic and physical examination center of a teaching hospital in Liaoning Province, China, from June to December 2020. Visual impairment was defined as best-corrected visual acuity <6/18 (The WHO definition). Possible influencing factors of visual impairment were assessed, including demographic factors, socioeconomic factors, disease and medication factors, and lifestyle. A visual impairment risk prediction model was developed using binary logistic regression analysis. The area under the ROC curve (AUC) was used to evaluate the effectiveness of the proposed prediction model. ResultsSix independent influencing factors of visual impairment in older adults were identified: age, systolic blood pressure, physical activity scores, diabetes, self-reported ocular disease history, and education level. A visual impairment risk prediction model for older adults was developed, showing powerful predictive ability in the training set and internal test set with AUCs of 0.87 (95%CI 0.83–0.90) and 0.81 (95%CI 0.74–0.88), respectively. ConclusionsThe risk prediction model for visual impairment in older adults had high predictive power. Identifying older adults at risk for developing visual impairment can help healthcare workers to adopt appropriate targeted programs for early education and intervention to prevent or delay visual impairment and prevent injuries due to visual impairment in older adults.

Consequences of Using Post- or Prebronchodilator Reference Values in Interpreting Spirometry.

Rationale: Postbronchodilator spirometry is used for the diagnosis of chronic obstructive pulmonary disease. However, prebronchodilator reference values are used for spirometry interpretation. Objectives: To compare the resulting prevalence rates of abnormal spirometry and study the consequences of using pre- or postbronchodilator reference values generated within SCAPIS (Swedish CArdioPulmonary bioImage Study) when interpreting postbronchodilator spirometry in a general population. Methods: SCAPIS reference values for postbronchodilator and prebronchodilator spirometry were based on 10,156 and 1,498 never-smoking, healthy participants, respectively. We studied the associations of abnormal spirometry, defined by using pre- or postbronchodilator reference values, with respiratory burden in the SCAPIS general population (28,851 individuals). Measurements and Main Results: Bronchodilation resulted in higher predicted medians and lower limits of normal (LLNs) for FEV1/FVC ratios. The prevalence of postbronchodilator FEV1/FVC ratio lower than the prebronchodilator LLN was 4.8%, and that of postbronchodilator FEV1/FVC lower than the postbronchodilator LLN was 9.9%, for the general population. An additional 5.1% were identified as having an abnormal postbronchodilator FEV1/FVC ratio, and this group had more respiratory symptoms, emphysema (13.5% vs. 4.1%; P < 0.001), and self-reported physician-diagnosed chronic obstructive pulmonary disease (2.8% vs. 0.5%, P < 0.001) than subjects with a postbronchodilator FEV1/FVC ratio greater than the LLN for both pre- and postbronchodilation. Conclusions: Pre- and postbronchodilator spirometry reference values differ with regard to FEV1/FVC ratio. Use of postbronchodilator reference values doubled the population prevalence of airflow obstruction; this was related to a higher respiratory burden. Using postbronchodilator reference values when interpreting postbronchodilator spirometry might enable the identification of individuals with mild disease and be clinically relevant.

The Prevalence of Electronic Cigarette Use Among College Students of Taibah University and Symptoms of Cardiovascular Disease.

Electronic cigarettes (e-cigarettes) have been increasing in popularity among young adults due to the misconception about the safety of e-cigarettes. Our study aims to identify the prevalence rate of e-cigarette use among college students, the reason behind their use, and the relationship between the use of electronic cigarettes and cardiovascular symptoms among college students. An online questionnaire was sent to students of Taibah University between 2021 and 2022. Data from this survey were analyzed to obtain the prevalence of e-cigarette use among Taibah University students and to compare the demographic and health characteristics differences between e-cigarette users and non-users. The prevalence of cardiovascular symptoms was also compared between the two groups. A total of 519 students participated in this study. The prevalence rate of e-cigarette use was 24%. Compared to non-users, e-cigarette users were more likely to be male (71% vs. 40%, p < 0.01), overweight (44% vs. 32%, p = 0.01), and drug users (4% vs. 1%, p = 0.01). E-cigarette users were likelier to complain of cardiovascular symptoms, including chest pain (19% vs. 10%, p = 0.01), shortness of breath (14% vs. 7%, p = 0.02), and palpitation (12% vs. 6%, p = 0.03). The association between e-cigarette use and cardiovascular symptoms was significant even after adjusting for students' characteristics. Students' main reasons for e-cigarette use were to enjoy the flavors of e-cigarettes, quit tobacco smoking, and improve depression. The prevalence rate of e-cigarette use among college students was 24%. The self-reported cardiovascular disease symptoms rate was doubled among e-cigarette users compared to non-users.

Trends in the rate of regular exercise among adults: results from chronic disease and risk factor surveillance from 2010 to 2018 in Jiangsu, China.

The aims of this study were to estimate the rates of regular exercise and its trends among the adult population in Jiangsu, from 2010 to 2018, China, and to assess associations with sociodemographic factors. Chronic disease and risk factor surveillance data from adults aged ≥18 years were gathered in Jiangsu Province from 2010 to 2018. Rates of regular exercise were calculated after post-stratification weighting, and time trends were compared among participants with different characteristics, including gender, age, urban-rural region, educational level, occupation, annual household income, body mass index (BMI), baseline self-reported chronic diseases, smoking status, alcohol consumption, and region. Multivariable logistic regression analyses were performed to assess the associations of sociodemographic characteristics with regular exercise. A total of 33,448 participants aged 54.05 ± 14.62 years and 55.4% female (8,374 in 2010, 8,302 in 2013, 8,372 in 2015, and 8,400 in 2018) were included in this study. The weighted rate of regular exercise was 12.28% (95% confidence interval [CI]: 9.11-15.45%) in 2010 and 21.47% (95% CI, 17.26-25.69%) in 2018, showing an overall increasing trend (P for trend = 0.009). Nevertheless, stratification analysis showed that the regular exercise rate decreased from 33.79% in 2010 to 29.78% in 2018 among retired adults. Significant associations were observed between regular exercise and age >45 years (45- < 60 years, odds ratio [OR]: 1.24, 95% CI: 1.14-1.34; ≥60 years, OR: 1.20, 95% CI: 1.08-1.34), urban residence (OR: 1.43, 95% CI: 1.32-1.54), higher education (primary, OR: 1.30, 95% CI: 1.16-1.46; secondary, OR: 2.00, 95% CI: 1.79-2.25; college or higher, OR: 3.21, 95% CI: 2.77-3.72), occupation (manual work, OR: 1.52, 95% CI: 1.33-1.73; non-manual work, OR: 1.69, 95% CI: 1.54-1.85; not working, OR: 1.22, 95% CI: 1.03-1.44; retired, OR: 2.94, 95% CI: 2.61-3.30), higher income (¥30,000- < ¥60,000, OR: 1.16, 95% CI: 1.06-1.28; ≥¥60,000, OR: 1.20, 95% CI: 1.10-1.32), higher BMI (overweight, OR: 1.12, 95% CI: 1.05-1.20), self-reported chronic disease at baseline (OR: 1.24, 95% CI:1.16-1.33), former smoking (OR: 1.15, 95% CI: 1.01-1.31) and ever (30 days ago) drinking (OR: 1.20, 95% CI: 1.11-1.29). The rate of regular exercise among adults in Jiangsu Province was low, but this rate increased by 9.17% from 2010 to 2018, showing an upward trend. There were differences in the rate of regular exercise among different sociodemographic factors.

U-Shaped Relationship between Sleep Duration and CKD in US Adults: Data from National Health and Nutrition Examination Survey (NHANES) 2005–2014

Introduction: Short and long sleep durations have been associated with adverse health outcomes. The objective of this study was to examine the association between self-reported sleep duration and chronic kidney disease (CKD) in the general population on the basis of the National Health and Nutrition Examination Survey (NHANES) database. Methods: A total of 28,239 adults aged ≥18 years who participated in the 2005–2014 NHANES were analyzed. CKD was defined as an estimated glomerular filtration rate <60 mL/min per 1.73 m2 or urinary albumin/urine creatinine ratio ≥300 mg/g. Very short sleepers and short sleepers were defined as those who sleep ≤5 h or 5.1–6.9 h per day, respectively. Long sleepers and very long sleepers were defined as those who sleep 9.0–10.9 h or ≥11 h per day, respectively. Normal sleepers were defined as those who sleep 7.0–8.9 h. The association between sleep duration and CKD was assessed using a logistic regression model. Results: Very short (≤5 h) sleep duration was associated with higher odds of CKD (multiadjusted OR, 1.38; 95% confidence interval, 1.17–1.62 comparing normal categories of 7.0–8.9 h; P trend = 0.01), after adjusting for potential confounders. Participants with long (9–10.9 h) sleep duration also tended to have a higher odds of CKD (multiadjusted OR, 1.39; 95% confidence interval, 1.20–1.61 comparing normal categories of 7.0–8.9 h; P trend = 0.01). This risk was further increased in those whose sleep duration exceeded 11 h (multiadjusted OR, 2.35; 95% confidence interval, 1.64–3.37 comparing normal categories of 7.0–8.9; P trend = 0.01). However, there was no statistically significant association between short (≤6.0–7.9 h) sleep duration and CKD (multiadjusted OR, 1.05; 95% confidence interval, 0.96–1.14 comparing normal categories of 7.0–8.9 h; P trend = 0.32). Conclusion: We demonstrated that the higher CKD prevalence estimates were found in very short (≤5 h) and long (9.0–10.9 h) sleep durations in an apparently healthy population aged ≥18 years in the USA. This prevalence of CKD is further increased in those whose sleep duration exceeds 11 h. Our cross-sectional analyses clarified the U-shaped temporal relationship between sleep duration and CKD.

Dietary patterns in rural and metropolitan Australia: a cross-sectional study exploring dietary patterns, inflammation and association with cardiovascular disease risk factors

ObjectivesThis study sought first to empirically define dietary patterns and to apply the novel Dietary Inflammation Score (DIS) in data from rural and metropolitan populations in Australia, and second to...

Prevalence and determinants of self-reported functional status among older adults residing in the largest refugee camp of the world

BackgroundThe older adults of refugee camps might be vulnerable to exhibiting limited functional abilities because of the limited resources available to create a supportive environment for older population in the camps. This study aims to explore the prevalence and determinants of self-reported functional status among the older adults residing in the Rohingya refugee camp in Bangladesh.MethodsThis cross-sectional study was conducted on 864 older adults aged 60 years and above living in five selected sub-camps of Rohingya refugee camp in Cox’s Bazar, Bangladesh. Data were collected through face-to-face interviews of the participants between November-December 2021. Functional status was measured using the Barthel Index. Information on participants’ sociodemographic characteristics, self-reported chronic diseases and lifestyle characteristics were also collected. A multiple logistic regression model was used to assess the factors associated with self-reported functional abilities among the participants.ResultsThe overall percentage of people having limited self-reported functional ability was 26.5% (male: 22.6% and female: 31.5%) with inability most found in grooming (33.2%), bathing (31.8%), stair using (13.2%) and mobility (10.7%). In the final adjusted model, having age of 80 years or more (aOR = 2.01,95% CI: 1.08,3.75), being female (aOR = 1.44, 95% CI: 1.04,2.0), having low memory or concentration (aOR = 1.83, 95% CI: 1.30,2.56), loneliness (aOR = 2.89, 95% CI:1.74,4.80) and living with aid alone (aOR = 2.89, 95% CI: 1.74,4.80) were found to be associated with self-reported limited functional ability.ConclusionThe findings of this study highlight the need for attention from policymakers and public health practitioners on addressing functional limitations among older adults residing in the Rohingya refugee camp. Our findings emphasize the need for the development of comprehensive interventions that can address the wider unmet needs (e.g., ensuring family/caregiver support, engaging in social and physical activities, providing nutritional support packages, etc.) to improve the health and well-being of older Rohingya adults.