Nationwide Population-based Survey Research Articles

Association between Grit and Insomnia: A Population-based Study

BackgroundThis study aimed to investigate the association of the grit scale, a personality trait characterized by perseverance and passion, with both the presence and the severity of insomnia in the Korean adult population. MethodsA nationwide population-based cross-sectional survey was conducted through face-to-face interviews using structured questionnaires between September and December 2018 in Korea. Grit was assessed by using the 8-item Short Grit Scale. Participants were categorized into insomnia and non-insomnia groups based on a threshold of 10 on the Insomnia Severity Index (ISI). The association between girt and insomnia was analyzed using multiple linear regression and multivariable logistic regression, controlling for sociodemographic factors, lifestyles, and comorbidities. ResultsA total of 2,453 participants (49.9% male; aged 19 to 92 years) were enrolled in the study. Individual grit scores ranged from 1.75 to 5.00 points (mean [SD], 3.27 [0.42]), and insomnia was present in 16.5 % of the population. The insomnia group exhibited lower grit score compared to the non-insomnia group (3.11 [0.40] vs. 3.30 [0.42], p<0.001, Cohen’s d = 0.46). Grit was negatively associated with ISI scores (β = -0.15, 95% CI = -0.19, -0.11, p<0.001) and with having insomnia (OR 0.40, 95% CI = 0.30, 0.55, p<0.001), after controlling for covariates. ConclusionsIndividuals with higher grit were less likely to have insomnia. Clinicians should consider personality traits, such as grit, in the evaluation and the management of insomnia.

Determinants of Caesarean Deliveries in Bangladesh: A Multilevel Analysis of a Nationwide Population-Based Survey

Caesarean section, a frequently conducted surgical procedure in obstetrics, is instrumental in safeguarding the well-being of both mothers and infants by addressing complications related to pregnancy and childbirth. While it significantly contributes to reducing maternal and infant mortality rates, its overuse can pose serious health risks. The prevalence of caesarean deliveries has surged globally, including in Bangladesh. This rise in caesarean deliveries has prompted this research to investigate the prevalence and various associated factors in the country. To achieve the study objectives, data were extracted from the Bangladesh Demographic and Health Survey (BDHS) conducted from 2017 to 2018. After preprocessing the data, a total of 4,884 women were included in the study. Frequency analysis was conducted to illustrate the distribution of sociodemographic characteristics among Bangladeshi women. Chi-square tests were performed to assess their association with caesarean delivery. Furthermore, multi-level logistic regression analysis was employed to identify the variables that have a significant impact on the likelihood of caesarean delivery. The study revealed that in Bangladesh, the prevalence of caesarean section deliveries was approximately 33.1%, with the majority of these occurring in the Dhaka division, accounting for approximately 25.3%. Women aged 20 or older were 1.62 times more likely to opt for a C-section during childbirth (OR 1.62, [1.38-1.89]) compared to those under 20. Overweight or obese women had twice the likelihood of delivering via C-section. Higher socioeconomic status also increased the probability of choosing a caesarean delivery. Women who had exposure to any form of media were 57% more likely to opt for a caesarean delivery (OR 1.57 [1.31-1.87]), while not working women had a 48% higher likelihood of having a C-section. Additionally, the study found that the use of caesarean delivery was positively associated with the husband's education level, the number of children previously born, and the number of antenatal care visits. The study revealed that the rate of C-sections in Bangladesh surpasses WHO recommendations significantly. It also identified various factors driving this trend, including women's education levels, socioeconomic status, media exposure, female obesity, age at first childbirth, and husband’s education. These insights may serve as a foundation for developing strategies to regulate the caesarean delivery rate. Urgent policy directives are essential within Bangladesh's healthcare system, coupled with vigilant monitoring of clinical indications for C-sections, to mitigate the adverse effects of unnecessary procedures. Jagannath University Journal of Science, Volume 11, Number 1, June 2024, pp. 31−44

Can cessation of caregiving for parents relieve family caregivers' psychological distress? A longitudinal study using 17-wave nationwide survey data in Japan.

Informal caregiving of older parents adversely affects the mental health of family caregivers. However, the psychological effects of caregiving cessation and the trajectories of these effects have rarely been examined in Japan. This study addresses this gap. Based on a 17-wave nationwide population-based survey in Japan, we analyzed longitudinal data from 8,280 individuals aged 50-59 years in 2005 who started caring for their older parents in 2006 or later and ceased caregiving by 2021. We identified the timings of caregiving onset and cessation and examined the trajectory of psychological distress (PD), defined as a Kessler score ≥ 5 on the 6-item Kessler scale (range 0-24). Linear mixed models were used to assess the trajectory of PD that evolved after caregiving cessation over the subsequent three years. After adjusting for covariates, the probability of PD decreased by 5.6 percentage points (from 40.8%; 95% confidence interval [CI], 4.1-7.0) for female caregivers and by 1.9 percentage points (from 31.7%; 95% CI, 0.3-3.5) for male caregivers at caregiving cessation, remaining stable in subsequent years. For women, higher PD risks related to co-residence with a care recipient diminished quickly upon cessation of caregiving, while the unfavorable impacts of no social activity, extended duration of care, and long-hour daily care persisted in subsequent years. For male caregivers, the impact was generally more limited. These results suggest that changes in mental health following caregiving cessation warrant serious consideration when developing support programs for former family caregivers.

Quality of birth care and risk factors of length of stay after birth: A machine learning approach.

Length of stay (LOS) is an outcome measure and is assumed to be related to quality. The objective of this study is to examine the quality of birth care and risk factors associated with LOS after birth. A nationwide population-based Turkish Demographic and Health Survey (TDHS) was used for the year 2018. A total of 1849 women ages 15-49 were included. Explanatory factor analysis and machine learning predictors such as Random Forest, Support Vector Machine, Neural Network, k-Nearest Neighbor, and Naïve Bayes were used to identify the quality of birth care and risk factors associated with LOS after birth. As a result of the explanatory factor analysis, factor structures of quality of birth care, antenatal check-ups and supplements, and risk factors associated with birth were obtained using the Categorical Component Analysis method. The type of delivery, place of delivery, age, and type of place, which are under the quality of birth care, and risk factors associated with birth factors were found to be the variables that had the highest impact on LOS estimation. Random forest (Accuracy = 0.5789), support vector machine (radial) (Accuracy = 0.5766), and neural network (Accuracy = 0.5750) models outperformed, respectively. Type of delivery which is an indicator of quality of birth care is a strong predictor of LOS after birth according to the Random Forest model. We demonstrated that machine learning techniques offer precise LOS prediction after birth. Further studies assessing the effect of quality of birth care on predicting LOS at birth would be beneficial.

Risk factors for non-communicable diseases in Afghanistan: insights of the nationwide population-based survey in 2018

BackgroundNoncommunicable diseases (NCDs) account for a substantial number of deaths in Afghanistan. Understanding the prevalence and correlates of major NCD risk factors could provide a benchmark for future public health policies and programs to prevent and control NCDs. Therefore, this study aimed to examine the prevalence and correlates of NCD risk factors among adults aged 18–69 years in Afghanistan.MethodsWe used data from the Afghanistan STEPS Survey 2018. The study population were 3650 (1896 males and 1754 females) adults aged 18–69 years sampled from all 34 provinces through a multistage cluster sampling process. Information on behavioural and biological risk factors was collected. We used STATA (version 18.0) for data analysis.ResultsOf the total participants, 42.8% were overweight or obese, 8.6% were current smokers, 26.9% had insufficient physical activities, 82.6% had low consumption of fruits and vegetables, and only 0.5% had ever consumed alcohol. Approximately 15% of participants had a high salt intake, while 25% and 8% had elevated blood pressure and blood glucose levels, respectively. Similarly, around 18% had elevated total cholesterol. The study revealed a lower prevalence of current smoking among females [AOR = 0.17, 95%CI (0.09–0.30)] compared with males, but a higher prevalence in those who had higher education levels [1.95 (1.13–3.36)] compared with those with no formal education. Insufficient physical activity was higher in participants aged 45–69 years [1.96 (1.39–2.76)], females [4.21 (1.98–8.84)], and urban residents [2.38 (1.46–3.88)] but lower in those with higher education levels [0.60 (0.37–0.95)]. Participants in the 25th to 75th wealth percentiles had higher odds of low fruit and vegetable consumption [2.11 (1.39–3.21)], while those in the > 75th wealth percentile had lower odds of high salt intake [0.63 (0.41–0.98)]. Being overweight/obese was more prevalent in participants aged 45–69 years [1.47 (1.03–2.11)], females [1.42 (0.99–2.01)], currently married [3.56 (2.42–5.21)] or ever married [5.28 (2.76–10.11)], and urban residents [1.39 (1.04–1.86)]. Similarly, high waist circumference was more prevalent in participants aged 45–69 years [1.86 (1.21–2.86)], females [5.91 (4.36–8.00)], those being currently married [4.82 (3.12–7.46)], and those being in 25th to 75th wealth percentile [1.76 (1.27–2.43)]. A high prevalence of elevated blood pressure was observed in participants aged 45–69 years [3.60 (2.44–5.31)] and currently married [2.31 (1.24–4.31)] or ever married [6.13 (2.71–13.8)] participants. Elevated blood glucose was more prevalent in older adults ([1.92 (1.09–3.39)] for 45–69 and [3.45 (2.44–5.31)] for 30–44 years), urban residents [2.01 (1.33–3.03)], and ever-married participants [4.89 (1.48–16.2)]. A higher prevalence of elevated cholesterol was observed in females [2.68 (1.49–4.82)] and those currently married [2.57 (1.17–5.63)] or ever married [4.24 (1.31–13.73)].ConclusionThis study used up-to-date available data from a nationally representative sample and identified the prevalence of NCDs and associated risk factors in Afghanistan. Our findings have the potential to inform and influence health policies by identifying people at high risk of developing NCDs and can assist policymakers, health managers, and clinicians to design and implement targeted health interventions.

Trend of prevalence and characteristics of preserved ratio impaired spirometry (PRISm): Nationwide population-based survey between 2010 and 2019.

This study aimed to evaluate the prevalence, trends, and factors of preserved ratio with impaired spirometry (PRISm) by using a nationally representative sample. The datasets of the Korea National Health and Nutrition Examination Survey 2010-2019 were used: of total 32,949 participants aged ≥40 and no missing data on spirometry, 24,523 with normal, 4,623 with obstructive, and 3,803 with PRISm were identified. PRISm was defined as FEV1/FVC ≥70% and FEV1% of the predicted value (%pred) <80. PRISm-lower limit of normal (LLN) was defined when FEV1/FVC ≥LLN and FEV1 <LLN. The prevalence and trend of PRISm were estimated using the Joinpoint regression method. The trend was calculated for the periods 2010-2015 and 2017-2019, due to a change in spirometry device in June, 2016. A complex sample multivariable-adjusted regression model was used to identify factors associating PRISm. Estimated average prevalence of PRISm was 10.4% (PRISm-LLN 11.1%). Joinpoint regression analyses found a relatively stable trend of PRISm for both fixed ratio and LLN. The multivariable-adjusted logistic regression model showed female sex, BMI ≥25 kg/m2, metabolic syndrome, hypertriglyceridemia, abdominal obesity, low HDL-choleterol, hypertension, and diabetes were associated with the increased probability of PRISm. Whenever a PRISm pattern is identified in a clinical context, it may be necessary to measure absolute lung volumes to investigate underlying physiological abnormalities and to identify factors that is modifiable.

Association between cadmium exposure and serum neurofilament light chain levels: A nationwide population-based survey

BackgroundAlthough cadmium exposure had been demonstrated to be toxic to the nervous system, little was known about the link between cadmium exposure and axonal injury. Therefore, the present study aimed to reveal whether there was any correlation between blood cadmium and serum neurofilament light chain (NfL) levels in the general population. MethodsThis study included 1040 participants with a median (IQR) age of 47 (35−60) years from the 2013–2014 National Health and Nutrition Examination Survey. Serum NfL levels were measured through immunoassay, and whole blood cadmium concentrations were detected by means of inductively coupled plasma mass spectrometry. Linear regression and restricted cubic spline model was applied to analyze the significance of relationship between blood cadmium and serum NfL levels. ResultsIn the full adjusted model, blood cadmium levels were found to be positively associated with serum NfL levels (Q4 vs Q1, β = 3.35, 95 %CI: 0.41, 6.30, p for trend = 0.014). A potential linear positive dose-effect relationship was discovered between blood cadmium and serum NfL levels (p for non-linearity = 0.15). According to the result of stratified analysis, the significant positive relationship between blood cadmium and serum NfL levels was present only in the population of middle-aged and older adults. ConclusionThe present study suggested a positive association between blood cadmium and serum NfL levels in the general US population.

A Comparative Analysis of Mammography Uptake between Migrant and Non-Migrant Women in Austria-Results of the Austrian Health Interview Survey.

Mammography can reduce breast cancer incidence and mortality. Studies on the utilization of mammography among migrant and non-migrant women are inconsistent. Many of these studies do not take the heterogeneity of migrants in terms of ethnicity and country of origin into account. The aim of the present study was to examine disparities in the use of mammography between non-migrant women and the five largest migrant groups in Austria. The study used data from a nationwide population-based survey of 5118 women aged 45 years and older and analyzed the participation in mammography as a dependent variable. Multivariable logistic regression was used to compare mammography uptake between the aforementioned groups of women, while adjusting for socioeconomic and health variables. The study shows that all migrant groups involved tended to use mammography less frequently than non-migrant women; statistically significant differences, however, were only observed for Hungarian migrant women (adjusted OR = 0.36; 95%-CI: 0.13, 0.95; p = 0.038) and women from a Yugoslavian successor state (adjusted OR = 0.55; 95%-CI: 0.31, 0.99; p = 0.044). These findings are consistent with other studies in Europe and beyond, highlighting the heterogeneity of migrant populations and emphasizing the need for a diversity-sensitive approach to health care.

Mapping intersectional sociodemographic inequalities in measurement and prevalence of depressive symptoms: a intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy using data from a population-based nationwide survey in Germany

ObjectivesUnderstanding how social categories like gender, migration background, lesbian/gay/bisexual/transgender (LGBT) status, education, and their intersections affect health outcomes is crucial. Challenges include avoiding stereotypes and fairly assessing health outcomes. This paper aims to demonstrate how to analyze these aspects. Study Design and SettingThe study used data from N = 19,994 respondents from the German Socio-Economic Panel 2021 data collection. Variations between and within intersectional social categories regarding depressive symptoms and self-reported depression diagnosis were analyzed. We employed intersectional Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy to assess the impact of gender, lesbian/gay/bisexual/transgender status, migration, education, and their interconnectedness. A Configuration-Frequency Analysis assessed typicality of intersections. Differential Item Functioning analysis was conducted to check for biases in questionnaire items. ResultsIntersectional multilevel analysis of individual heterogeneity and discriminatory accuracy analysis revealed significant interactions between these categories for depressive symptoms and depression diagnosis. The Configuration-Frequency Analysis showed that certain combinations of social categories occurred less frequently compared to their expected distribution. The Differential Item Functioning analysis showed no significant bias in a depression short scale across social categories. ConclusionResults reveal interconnectedness between the social categories, affecting depressive symptoms and depression probabilities. More privileged groups had significant protective effects, while those with less societal privileges showed significant hazardous effects. Statistical significance was found in some interactions between categories. The variance within categories outweighs that between them, cautioning against individual-level conclusions.

Australian Headache Epidemiology Data (AHEAD): a pilot study to assess sampling and engagement methodology for a nationwide population-based survey

BackgroundThere are no robust population-based Australian data on prevalence and attributed burden of migraine and medication-overuse headache (MOH) data. In this pilot cross-sectional study, we aimed to capture the participation rate, preferred response method, and acceptability of self-report questionnaires to inform the conduct of a future nationwide migraine/MOH epidemiological study.MethodsWe developed a self-report questionnaire, available in hard-copy and online, including modules from the Headache-Attributed Restriction, Disability, Social Handicap and Impaired Participation (HARDSHIP) questionnaire, the Eq. 5D (quality of life), and enquiry into treatment gaps. Study invitations were mailed to 20,000 randomly selected households across Australia’s two most populous states. The household member who most recently had a birthday and was aged ≥ 18 years was invited to participate, and could do so by returning a hard-copy questionnaire via reply-paid mail, or by entering responses directly into an online platform.ResultsThe participation rate was 5.0% (N = 1,000). Participants’ median age was 60 years (IQR 44–71 years), and 64.7% (n = 647) were female. Significantly more responses were received from areas with relatively older populations and middle-level socioeconomic status. Hard copy was the more commonly chosen response method (n = 736). Females and younger respondents were significantly more likely to respond online than via hard-copy.ConclusionsThis pilot study indicates that alternative methodology is needed to achieve satisfactory engagement in a future nationwide migraine/MOH epidemiological study, for example through inclusion of migraine screening questions in well-resourced, interview-based national health surveys that are conducted regularly by government agencies. Meanwhile, additional future research directions include defining and addressing treatment gaps to improve migraine awareness, and minimise under-diagnosis and under-treatment.

COMPARISON OF OFFICE-BASED BLOOD PRESSURE TO DAYTIME CUFFLESS BLOOD PRESSURE IN A POPULATION-BASED STUDY

Objective: The latest ESH 2023 guidelines still recommend the use of office blood pressure (BP) measurement for the diagnosis and the follow-up of arterial hypertension. Although cuffless (BP) devices are attractive for patients due their practicality and easy to use, they are not yet recommended by international guidelines. The aim of this project was to test the diagnostic performance of a cuffless device in the adult Swiss population. Design and method: This was a multicentric sub-study nested within a nationwide population-based survey on dietary salt intake in Switzerland. Blood pressure was measured 5 times with a validated oscillometric device (Omron HEM-907) on two separate visits according to a standardized protocol. Cuffless blood pressure using the Aktiia® bracelet was measured intermittently over 24 hours in between visits. The device was calibrated on the first visit using an independent oscillometric device. The average of the last four office BP at each visit was compared to the daytime average BP from the cuffless device with a Bland-Altman plot. Results: Of the 863 individuals included in the study, 511 (46% women, age: 48.6±15.8 years) had their BP taken with both devices. The median number of BP measurements with the cuffless device was 46(IQR 28-90)). Bland and Altman analysis revealed a difference of 0.015 (CI -0.734 to 0.763) in systolic BP and of 0.380 (CI -0.216 to 0.975) in diastolic BP (Figure 1). The agreement for the diagnosis of hypertension was 92.4% with a kappa of 0.61±0.04 for systolic BP and 94.7% with a kappa of 0.50±0.04. Conclusions: In this adult population-based study, the accuracy and the diagnostic performance of a cuffless device were promising. The differences may be secondary to either accuracy or to white coat/masked effect reflecting the different environments of BP measures.

Using propensity score matching analysis to compare between cardiometabolic risk factors and physical activity type in Korean adults: findings from a nationwide population-based survey

PurposeWe aimed to assess the effects of different exercise modalities on cardiometabolic risk factors within a comprehensive, representative sample of the Korean population.MethodsWe categorized 13,971 adult participants into aerobic exercise (AE), resistance exercise (RE), combined aerobic and resistance exercise (TE), insufficient exercise, and inactive groups. Multivariable regressions were conducted to compare the incidence of chronic diseases across the groups before and after propensity score matching (PSM).ResultsThe TE and RE groups had significantly lower waist circumference (WC), mean blood pressure (BP), glucose and insulin-related indices, and white blood cell count (WBC) measures, with TE showing the most significant differences. The TE group had significantly lower triglyceride levels and higher high-density lipoprotein-cholesterol levels. Post-PSM, the TE group had the lowest risk for metabolic syndrome, hypertension, and diabetes, closely followed by the RE group when compared with the inactive group. In a subgroup analysis, RE consistently exhibited benefits including lower body mass index, WC, BP, total cholesterol, glucose and insulin-related indices, and WBC count when compared with AE. RE may be associated with reduced incidence of cardiometabolic diseases compared to AE alone.ConclusionTE appears to be associated with significant reduction in cardiometabolic risk in Korean adults. RE possibly provides a more favorable cardiometabolic effect than AE.

Post-traumatic stress, depression, and anxiety during the 2021 Myanmar conflict: a nationwide population-based survey

The UN warns that Myanmar faces the 'triple crises' of mass conflict, uncontrolled COVID-19, and economic collapse. Therefore, we aimed to assess the population mental health burden, healthcare needs, and the associated risk factors in Myanmar. We established a nationwide random sample and recruited 1038 adults via random digit dialling from July 3-Aug 9, 2021, during the ongoing conflict since Feb 1, 2021, and surge in SARS-CoV-2 infections. Probable post-traumatic stress disorder (PTSD) was assessed using the PTSD Checklist-Civilian Version. Probable depression and anxiety were assessed using the Patient Health Questionnaire-2 and the Generalized Anxiety Disorder-2. We calculated population attributable fractions for probable mental disorders using multivariable logistic regression models. Based on the mental health burden and healthcare-seeking patterns, we projected the need for mental health services. During the 'triple crises', a third of adults in Myanmar (34.9%, 95% CI 32.0-37.7) reported a probable mental disorder. Prevalence of probable PTSD, depression, and anxiety were 8.1% (6.6-9.7), 14.3% (12.0-16.6), and 22.2% (19.7-24.7), respectively. We estimated that up to 79.9% (43.8-97.9) of probable PTSD was attributable to political stress. This corresponds to 2.1 million (1.1-3.2 million) fewer adults with probable PTSD if political stress was removed from the population. The mental health burden could translate into roughly 5.9 million adults seeking mental health services. The mental health burden in Myanmar is substantial, and population mental health might only be restored when the three crises have ended. An accelerated peace process is critical to protecting Myanmar's population mental health. This research was supported the Research Grants Council of the Hong Kong Special Administrative Region, China (Project No. HKU 17606122) and the Michele Tansella Award.

Shared comorbidity of depression, migraine, insomnia, and fibromyalgia in a population-based sample

BackgroundDepression, migraine, insomnia, and fibromyalgia are reportedly comorbidities. Nevertheless, no study has evaluated the comorbidity of all four of these disorders. This study aimed to investigate the comorbidity of these four disorders. MethodsCross-sectional analyses were performed using data of the Circannual Change in Headache and Sleep study, an online nationwide population-based survey. Validated questionnaires were used to diagnose the disorders and measure quality of life. The change of clinical characteristics by addition of any comorbidity was analyzed using the Jonckheere–Terpstra trend test. ResultsThe prevalence rates of depression, migraine, insomnia, and fibromyalgia were 7.2 %, 5.6 %, 13.3 %, and 5.8 %, respectively. Among the 3030 included participants, 494 (16.3 %), 164 (5.4 %), 40 (1.3 %), and 6 (0.2 %) had one, two, three, and four of these conditions, respectively. The number of headache days per 30 days (Jonckheere–Terpstra trend test, p = 0.011) and migraine-related disability (migraine disability assessment score, p = 0.021) increased with an increase in the number of comorbidities but not with the intensity of headache (visual analog scale, p = 0.225) among participants with migraine. The severity of insomnia (Insomnia Severity Index, p < 0.001) and fibromyalgia (fibromyalgia severity score, p = 0.002) increased with additional comorbidities; however, depression (Patient Health Questionnaire-9, p = 0.384) did not show such an increase. LimitationsThe diagnoses of conditions were based on self-reported questionnaires. ConclusionsThe findings confirmed significant comorbidity between depression, migraine, insomnia, and fibromyalgia. Health professionals should be aware of the probable comorbidity of depression, migraine, insomnia, and fibromyalgia when caring for individuals with any of these four disorders.

Distribution and determinants of glycosylated hemoglobin in adolescents - Results from a nationwide population-based survey in Germany.

The role of glycosylated hemoglobin (HbA1c) in youth is largely unclear. The aims of this study are to investigate the distribution and potential determinants of HbA1c among a population-based sample of adolescents. The German Health Interview and Examination Survey for Children and Adolescents (KiGGS) Wave 2 includes a nationwide representative sample of 0-17-year-old participants. For this evaluation, data from a randomly selected subgroup aged 14-17 years and without diagnosed diabetes was included (n = 857). Percentile-based HbA1c values (measured at laboratory in whole blood samples by high performance liquid chromatography) were calculated to examine HbA1c distribution. Multivariable linear regression analyses were performed to investigate factors (age, sex, parental socioeconomic status, body mass index (BMI), birth weight, smoking, alcohol consumption, healthy food diversity, sport activity, oral contraceptive use) associated with HbA1c. The mean HbA1c level was 5.2% (minimum: 3.9%, P10: 4.8%, P50: 5.1%, P90: 5.5%, maximum: 6.7%). Overall, 2.8% of adolescents had an HbA1c value in the prediabetic range (5.7-6.4%) and 0.1% had an undiagnosed diabetes (≥6.5%). Multivariable regression analysis showed an inverse association of age with HbA1c (17 vs. 14 years: ß: -1.18; 95% CI -2.05, -0.31). Higher HbA1c values were observed for higher BMI-standard deviation scores (SDS) (ß: 0.24; 95% CI -0.04, 0.52) and smoking (ß: 0.73; 95% CI -0.12, 1.57), but these tendencies were non-significant. In sex-stratified analysis, smoking and birth weight were significantly associated with HbA1c in boys. Among adolescents without diagnosed diabetes in Germany, HbA1c values ranged from 3.9% to 6.7%. To ensure health in adulthood, the influence of determinants on HbA1c levels in younger age should be further investigated.

Intersectional analysis of social disparities in type 2 diabetes risk among adults in Germany: results from a nationwide population-based survey

BackgroundDifferences in type 2 diabetes risk have been reported for several sociodemographic determinants including sex/gender or socioeconomic status. From an intersectional perspective, it is important to not only consider the role of social dimensions individually, but also their intersections. This allows for a deeper understanding of diabetes risk and preventive needs among diverse population groups.MethodsAs an intersectionality-informed approach, multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) was used in a population-based sample of adults without known diabetes in Germany from the cross-sectional survey “Disease knowledge and information needs– Diabetes mellitus (2017)”. Diabetes risk was assessed by the German Diabetes Risk Score (GDRS, range 0-122 points), estimating the individual risk of developing type 2 diabetes within the next 5 years based on established self-reported risk factors. Nesting individuals in 12 intersectional strata defined by combining sex/gender, educational level, and history of migration, we calculated measures to quantify the extent to which individual differences in diabetes risk were explained at strata level, and how much this was due to additive or multiplicative intersectional effects of social determinants.ResultsDrawing on data of 2,253 participants, we found good discriminatory accuracy of intersectional strata (variance partition coefficient = 14.00% in the simple intersectional model). Model-predicted GDRS means varied between 29.97 (corresponding to a “low risk” of < 2%) in women with high educational level and a history of migration, and 52.73 (“still low risk” of 2–5%) in men with low educational level without a history of migration. Variance in GDRS between strata was mainly explained by additive effects of social determinants (proportional change in variance to intersectional interaction model = 77.95%) with being male and having low educational level being associated with higher GDRS. There was no evidence of multiplicative effects in individual strata.ConclusionsType 2 diabetes risk differed between intersectional strata and can to some extent be explained at strata level. The role of intersectional effects was minor and needs to be further investigated. Findings suggest a need for specific preventive measures targeted at large groups with increased diabetes risk, such as men and persons with low educational level.

Comparison of Metabolic Risk Factors Based on the Type of Physical Activity in Korean Adolescents: Results from a Nationwide Population-Based Survey.

Physical activity (PA) is associated with a favorable metabolic risk profile in adults. However, its role in adolescents remains unclear. In this study, using data (2019-2021) from the 8th Korea National Health and Nutrition Examination Survey, we investigated the optimal exercise type for preventing metabolic complications in adolescents. A total of 1,222 eligible adolescent participants (12-18-year-old) were divided into four groups as follows: aerobic exercise (AE), resistance exercise (RE), combined aerobic and resistance exercise (CE), and no exercise (NE). Daily PA was assessed using the international PA questionnaire. Blood samples were collected to measure lipid, glucose, and insulin levels. Additionally, the homeostasis model assessment for insulin resistance (HOMA-IR) and triglyceride-glucose (TyG) indices were measured. Multivariate regression analysis was used to compare the metabolic risk factors across the PA groups before and after propensity score matching (PSM) adjustment for confounding variables. The CE group exhibited improved fasting glucose levels, lower TyG index, reduced white blood cell count, and higher high-density lipoprotein (HDL) cholesterol levels than the NE group. The RE group exhibited lower mean blood pressure, triglyceride, fasting insulin, HOMA-IR, TyG index and a reduced risk of metabolic syndrome than the NE group. The AE group had higher total and HDL cholesterol levels. In detailed comparison of the AE and RE groups, the RE group consistently exhibited favorable metabolic parameters, including lower blood pressure and total and low-density cholesterol levels, which persisted after PSM. These findings highlight the positive effects of PA on cardiovascular risk factors in adolescents. Thus, RE may have a more favorable metabolic effect than AE. Further studies are needed to validate the benefits of exercise according to the exercise type.

Risk and protective factors for reduced life-space mobility among older adults with joint disease in Colombia: analysis of secondary data from a nationwide population-based survey

Risk and protective factors for reduced life-space mobility among older adults with joint disease in Colombia: analysis of secondary data from a nationwide population-based survey

Glycemic Control and Oral Health Outcomes in Patients With Diabetes: Insights From a Nationwide Korean Survey.

Diabetes is recognized as a risk factor for various inflammatory conditions, including periodontitis. There exists a bidirectional relationship between glycemic control and oral health in individuals with diabetes. This study aimed to analyze the link between glycemic control and oral health status among Korean patients with diabetes. Using data from a population-based nationwide survey conducted between 2007 and 2019, we identified 70,554 adults with diabetes-related information. The study population included 9,090 individuals diagnosed with diabetes and 61,164 healthy controls. The association between glycemic control, defined by mean glycated hemoglobin (HbA1c) values, and various oral health measures, such as tooth brushing frequency, periodontitis, denture wearing, Decayed, Missing, and Filled Teeth (DMFT) index, number of remaining teeth, and past-year dental clinic visits, was evaluated using multivariate logistic regression analyses. Compared to the control group, patients with diabetes exhibited a higher prevalence of periodontitis (88.6% vs. 73.3%), complete dentures (5.0% vs. 1.5%), and elevated DMFT index (33.2% vs. 26.7%) (all P < 0.001). Multivariate analyses revealed significant associations between diabetes and several oral health factors: denture status (No denture: adjusted odds ratio [aOR], 0.784; 95% confidence interval [CI], 0.627-0.979), and having fewer permanent teeth (0-19) (aOR, 1.474; 95% CI, 1.085-2.003). Additionally, a positive correlation was found between higher HbA1c levels and the risk of having fewer remaining teeth (0-19) (HbA1c < 6.5%: aOR, 1.129; 95% CI, 0.766-1.663; 6.5% ≤ HbA1c < 8.0%: aOR, 1.590; 95% CI, 1.117-2.262; HbA1c ≥ 8%: aOR, 1.910; 95% CI, 1.145-3.186) (P for trends = 0.041). We found a positive association between diabetes and poor oral health, as well as a noteworthy relationship between reduced permanent teeth (≤ 19) and glycemic control. These insights emphasize the critical role of oral health management in diabetic care and underscore the importance of maintaining effective glycemic control strategies for overall health and well-being in patients with diabetes.

CARDIOVASCULAR DISEASE AND FRAILTY IN OLDER ADULTS FROM COLOMBIA

Abstract Cardiovascular disease (CV) is a leading cause of death worldwide. Frailty is a growing geriatric syndrome. Limited research has explored the relationship between cardiovascular disease and frailty. This study assesses the association between a cardiovascular disease history and older adults’ frailty. We used data from the SABE (Salud, Bienestar y Envejecimiento) Colombia Study, a cross-sectional nationwide population-based survey (2015) including community-dwelling adults ≥60 years. A secondary dataset of 5,242 participant responses was analyzed. Frailty was assessed according to the Fried Frailty Phenotype (weakness, low speed, low physical activity, exhaustion, and weight loss) and categorized as frail (3 or more components) vs. not frail or pre-frail. We performed logistic regression analysis to assess the association between a history of cardiovascular disease (hypertension, stroke, heart disease) and frailty, adjusting for socio-demographics, other comorbidities, and functional status. The prevalence of cardiovascular disease was 59.4%, and frailty was 20.0%. Compared to those who do not have CV disease, those having 1 CV disease (OR=1.23, 95% CI 1.04-1.46) or ≥2 CV diseases (OR=1.55, 95% CI 1.24-1.94) were associated with higher odds for frailty. A higher number of CV diseases were independently associated with frailty among older Colombian adults. In future studies, preventing CV disease might help to decrease frailty in older adults.