Korean Journal of Family Medicine最新文献

Background: Adolescent dependency on smartphones is the highest among all age groups. Adolescents can be influenced to evaluate their body image by popular ideals about beautiful bodies via smartphone content, which can cause body image distortion. This study aimed to examine the association between body image distortion and smartphone dependency and the duration of smartphone usage among Korean adolescents.

Methods: This study used data from the 16th Korean Youth Risk Behavior Web-Based Survey (2020), and included 42,981 participants, who were grouped according to self-reported duration of smartphone usage and smartphone dependency, as measured by a questionnaire. Body image distortion is defined as an exaggerated subjective body image compared to the actual body image. Multivariable-adjusted logistic regression was used to determine the odds ratios (ORs) with 95% confidence intervals (CIs) of body image distortion on smartphone dependency and usage time after adjusting for various factors related to body image distortion.

Results: Among the 42,981 participants, both moderate and high levels of smartphone dependency were associated with body image distortion in boys (moderate: adjusted OR [aOR], 1.11; 95% CI, 1.01-1.22; high: aOR, 1.18; 95% CI, 1.05-1.32) and girls (moderate: aOR, 1.14; 95% CI, 1.05-1.23; high: aOR, 1.30; 95% CI, 1.18-1.42) compared to the low-level dependency group. However, no significant association was found between smartphone usage duration and body image distortion.

Conclusion: Our study demonstrated that moderate to high levels of smartphone dependency are associated with body image distortion in adolescents. Therefore, it is necessary to establish strategies for checking and managing adolescents' smartphone dependence.

Background: The increasing older adult population requires attention in terms of education and health, as higher education levels contribute to cognitive reserve and may protect against age-related cognitive impairment. Cognitive reserve is an individual's cognitive flexibility in using cognitive functions affected by brain aging, neurological diseases, and injury. Indonesia has a high prevalence of low-educated older adults, which strongly correlates with progressive cognitive impairment. Identifying risk factors for cognitive decline in this population is crucial. This study determines the factors affecting cognitive impairment in low-educated older adults using cross-sectional data from the Indonesian Family Life Survey-5.

Methods: This descriptive study analyzed 2,313 low-educated older adults ≥60 years old. Univariate and bivariate analyses were used to describe the sample and identify the relationships between categorical variables. Logistic regression identified the most significant factor affecting cognitive impairment.

Results: The prevalence of cognitive impairment in low-educated older adults is 22.6%. The chi-square test revealed significant relationships between those who are aged 75 years, a status other than married, female, living in rural areas, and not participating in social activities. Age is the most prominent factor affecting cognitive impairment in such adults (P<0.001; adjusted odds ratio, 3.232; 95% confidence interval, 2.500-4.180).

Conclusion: Cognitive impairment in the aforementioned adults is associated with being ≥75 years old, being a status other than married, being female, living in rural areas, and not participating in social activities. After controlling other variables, low-educated older adults who participated in at least ≥1 social activity in the last 12 months experienced cognitive impairment 0.64 times compared to those who did not participate in social activities.

Background: This study compared the impact of Short Message Service (SMS)-based education with traditional group-based education and the control group on body mass index, weight, and lifestyle in obese and overweight patients in a limited-resource country. It also compared the direct financial costs between the two intervention groups.

Methods: In this controlled randomized educational study, 90 overweight or obese adults from four family physician clinics in Shiraz, Iran were randomly allocated to three training groups: SMS-based education, group-based education, and a control group. The participants' weight, body mass index (BMI), and waist circumference were measured at baseline, and the Physical Activity Scale questionnaire was completed. Group-based training was conducted in 1-hour weekly sessions. The SMS group received a text message each morning. The control group received routine care from a family physician. The intervention lasted 12 weeks. All participants were re-examined for the studied variables. Additionally, the direct costs were estimated, calculated, and compared.

Results: The mean weight, BMI, and waist circumference changed significantly after 3 months compared to baseline in each group. The mean weight change differed significantly among the three groups (P-value=0.04), and the mean BMI changes were near significant (P-value=0.06). A post hoc comparison of changes in weight and BMI showed a significant difference between the control and SMS groups. SMS education incurred much lower costs for patients and healthcare services than group-based education.

Conclusion: The study showed that SMS is an effective and cost-saving educational method for weight loss compared to group-based education, especially in developing countries.

Background: Prevention and management of metabolic syndrome (MetS) during childhood are crucial. Recently, obesity among children and adolescents has increased with an increase in mothers' working hours. The present study was conducted to determine the relationship between mothers' working hours and MetS in their children.

Methods: Data from the 2016-2020 National Health and Nutrition Examination Survey were used, and 2,598 children and adolescents aged 10-18 years were included. Logistic regression analysis was conducted to confirm the association between MetS and mothers' working hours for each risk factor. Linear regression analysis was conducted to confirm the association between mothers' working hours and the number of risk factors for MetS.

Results: Abdominal obesity in children was higher when the mothers' working hours were 53 hours or more (odds ratio [OR], 2.267; 95% confidence interval [CI], 1.21-4.25). In the trend analysis, the OR of children's abdominal obesity increased significantly as mothers' working hours increased (P-value <0.05). Additionally, sex-stratified analysis revealed a significant trend between maternal work hours and the presence of MetS in female children (P=0.016). The adjusted OR of the presence of MetS in female children with mothers working 53 hours or more weekly was 6.065 (95% CI, 1.954-18.822).

Conclusion: Mothers' working hours were highly correlated with the risk of abdominal obesity in their children. The OR of the presence of MetS significantly increased in female children with mothers having longer working hours compared with those with stay-at-home mothers.

Background: Predicting the risk of osteoporotic fractures is vital for prevention. Traditional methods such as the Fracture Risk Assessment Tool (FRAX) model use clinical factors. This study examined the predictive power of the FRAX score and machine-learning algorithms trained on FRAX parameters.

Methods: We analyzed the data of 2,147 female participants from the Ansan cohort study. The FRAX parameters employed in this study included age, sex (female), height and weight, current smoking status, excessive alcohol consumption (>3 units/d of alcohol), and diagnosis of rheumatoid arthritis. Osteoporotic fracture was defined as one or more fractures of the hip, spine, or wrist during a 10-year observation period. Machine-learning algorithms, such as gradient boosting, random forest, decision tree, and logistic regression, were employed to predict osteoporotic fractures with a 70:30 training-to-test set ratio. We evaluated the area under the receiver operating characteristic curve (AUROC) scores to assess and compare the performance of these algorithms with the FRAX score.

Results: Of the 2,147 participants, 3.5% experienced osteoporotic fractures. Those with fractures were older, shorter in height, and had a higher prevalence of rheumatoid arthritis, as well as higher FRAX scores. The AUROC for the FRAX was 0.617. The machine-learning algorithms showed AUROC values of 0.662, 0.652, 0.648, and 0.637 for gradient boosting, logistic regression, decision tree, and random forest, respectively.

Conclusion: This study highlighted the immense potential of machine-learning algorithms to improve osteoporotic fracture risk prediction in women when complete FRAX parameter information is unavailable.

Background: 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.

Methods: 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.

Results: 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.

Conclusion: 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.

Background: Evidence on the association between obesity parameters, including body mass index (BMI) and waist circumference (WC), and osteoarthritis is limited. This study aimed to investigate these associations in Korean adults.

Methods: This nationwide cross-sectional study used data from 24,101 adults aged ≥19 years who participated in the Korea National Health and Nutrition Examination Survey 2016-2020. Odds ratios (ORs) and 95% confidence intervals (CIs) for osteoarthritis according to BMI and WC were analyzed using multivariable logistic regression analyses.

Results: The prevalence of osteoarthritis was higher in individuals with general (10.0%) and abdominal obesity (12.8%) compared with those without. Greater BMI and WC were associated with a higher prevalence (P<0.001) and risk of osteoarthritis (Model 3, P for trend <0.001). Individuals with general and abdominal obesity were associated with a 1.50-fold (OR, 1.50; 95% CI, 1.35-1.67) and 1.64-fold (OR, 1.64; 95% CI, 1.47-1.84) increased risk of osteoarthritis, compared with those without. Similar associations were observed in subgroups according to age, sex, smoking status, and presence of diabetes mellitus. The odds of osteoarthritis 1.73-fold increased (OR, 1.73; 95% CI, 1.53-1.95) in individuals with both general and abdominal obesity compared with those without any of them.

Conclusion: Greater BMI, WC, and general and abdominal obesity were associated with an increased risk of osteoarthritis in Korean adults. Appropriate management of abdominal and general obesity may be important to reduce the risk of osteoarthritis.

Background: In patients with breast cancer, a healthy diet can help reduce breast cancer-specific recurrence, mortality, and comorbid chronic disease rates. There have been few studies on dietary habits immediately after breast cancer diagnosis, especially those involving the Asian population. Therefore, this study aimed to compare the nutritional habits of newly diagnosed patients with breast cancer and the general population without cancer in Korea using propensity score (PS) matching.

Methods: We conducted a case-controlled study of 157 patients with breast cancer and 2,363 cancer-free control participants from the Korea National Health and Nutrition Examination Survey. The PS values for the predicted probability of patients with breast cancer and the general population were estimated using logistic regression analysis, including age and body mass index. The dietary patterns were assessed using a 24-hour recall of 1 day and the Food Frequency Questionnaire.

Results: PS matching showed that patients with breast cancer consumed fewer calories and carbohydrates; however, they consumed more protein and fat compared to the general population. Compared to the general population, patients with breast cancer consumed more healthy foods such as fish, seaweed, vegetables, fruit, mixed-grain rice, and nuts; however, they also consumed more soup, stew, and red meat.

Conclusion: Newly diagnosed patients with breast cancer have some healthy dietary habits compared to the general population. However, there is considerable room for improvement in their diet quality. Our results support the need to develop tailored dietary recommendations for patients with breast cancer during the diagnostic and posttreatment periods to improve their diet quality.