Korean Journal of Family Medicine最新文献

Background: Adolescence is an essential stage of a child's development, transitioning them into adulthood. During this time, they are vulnerable to various social issues, such as experimenting with alcohol, among others. Although alcohol consumption was proven to be detrimental to physical and cognitive development toward adulthood, and almost one in 10 Malaysian adolescents aged 13 years and above are current drinkers, studies concerning the driving factors are still scarce. This cross-sectional study aimed to determine alcohol use among 244 adolescents in Nabawan, Sabah.

Methods: This study assessed the associations between alcohol use and three potential factors: demographic, environmental, and psychological. Respondents who were selected through stratified proportionate random sampling answered a set of assessment tools.

Results: Results showed that 30.7% (95% confidence interval [CI], 24.91-36.48) of Nabawan adolescents use alcohol. Analysis revealed that older age adolescents 18 years and 19 years, respectively (adjusted odds ratio [aOR], 3.93; P=0.021; aOR, 5.38; P=0.003), having parents (aOR, 4.11; P=0.001) and peers (aOR, 11.57; P<0.001) who consume alcohol were significantly associated with alcohol use. Unexpectedly, good parental monitoring (aOR, 2.46; P=0.019) and discussing serious problems with parents (aOR, 3.86; P=0.001) were significantly associated with alcohol use.

Conclusion: Conclusively, policies on alcohol-related harm reduction and prevention should be developed, especially school-based programs, programs addressing family functioning, and parent-child communication, among others, should be further looked into. Future research on the school environment, adolescents' drinking motives, and the development of practical adolescent-friendly alcohol screening tools are recommendations for improvements.

Background: Establishing cost-effective informal care services for lonely older adults living at home in developing countries can be an innovative approach for improving their well-being. This study investigated the effectiveness of an informal home care support intervention program (HoSIP) reducing the loneliness and improving quality of life of lonely community-dwelling older adults.

Methods: This quasi-experimental pre-post study employed a non-randomized control group design with a 12-week intervention period and three follow-up points at the end of the HoSIP. Questionnaires were used to measure feelings of loneliness (20-item UCLA Loneliness Scale), quality of life (Control, Autonomy, Self-Realization and Pleasure Scale), general health (12-item General Health Questionnaire), social network (six-item Lubben Social Network Scale), social support (12-item Multidimensional Scale of Perceived Social Support), and self-care ability (17-item Self-care Ability Scale for the Elderly). Repeated-measures analysis of variance was used to gauge the effect of the intervention program over time and in comparison to the control group. Data analyses were performed using the IBM SPSS Statistics software (IBM Corp., USA).

Results: We found a significant relationship between the outcome variables, including feelings of loneliness (P<0.001) and quality of life (P<0.001), at different stages of measurement. Despite the positive feasibility results, the implementation of the HoSIP faced challenges due to a lack of facilities (e.g., place restriction for holding educational classes, educational facilities like computers, video projector, and whiteboard at daycare center) and the absence of supporting organizations.

Conclusion: Utilizing the existing capabilities of older adults to provide online and face-to-face care services can be a cost-effective way to improve their quality of life and reduce loneliness. The process of facilitating such informal care services for lonely older adults should be managed by either governmental or non-governmental organizations to reduce the rate of social isolation among this vulnerable population.

Background: Malnutrition is common among children under 5 years of age in Indonesia, with the rates varying between urban and rural areas. The minimum acceptable diet (MAD) assesses nutrient quality and quantity. This study aimed to identify the potential variables for MAD in 6-23-month-old children in both urban and rural Indonesia.

Methods: We used the data from the 2017 Indonesia Demographic and Health Survey to conduct this nationally representative study. A total of 4,688 children aged 6-23 months were included in the study. MAD was classified using the 2017 World Health Organization global nutrition monitoring framework. The determinants of MAD were analyzed using multiple logistic regression.

Results: Overall, 45% of children aged 6-23 months received the required MAD, with 47.4% receiving the MAD in urban areas and 35.7% in rural areas. Children's age, fathers' age, parents' education level, mothers' employment, and wealth index were strongly linked to MAD in both rural and urban homes. The factor specifically related to MAD in urban areas was mother living with her husband. For rural households, mothers' involvement in decisionmaking and a minimum of four antenatal care (ANC) visits significantly increased the likelihood of their children's MAD status.

Conclusion: MAD status was determined by increased child age, higher parent education, younger father, working mother, and higher wealth index in children aged 6-23 months in both urban and rural settings. Mothers living with a spouse determined the MAD status only in urban areas. More frequent ANC visits and mother participation in household decisions were other factors related to MAD status in rural areas.

Background: Atherosclerotic cardiovascular disease (ASCVD) is a major health concern, and lipoprotein(a) (Lp(a)) is an independent risk factor. However, there is limited evidence regarding Lp(a) and the risk of ASCVD in Asian populations. This study aimed to assess the predictive value of changes in coronary artery calcification (CAC) for ASCVD risk associated with Lp(a) level.

Methods: Participants (n=2,750) were grouped according to their Lp(a) levels, and the association between Lp(a) and CAC progression was examined. CAC progression was defined as the occurrence of incident CAC or a difference ≥2.5 between the square root (√) of baseline and follow-up coronary artery calcium scores (CACSs) (Δ√transformed CACS). To adjust for differences in follow-up periods, Δ√transformed CACS was divided by the follow- up period (in years).

Results: Over an average follow-up of 3.07 years, 18.98% of participants experienced CAC progression. Those with disease progression had notably higher Lp(a) levels. Higher Lp(a) tertiles correlated with increased baseline and follow-up CACS, CAC progression (%), and Δ√transformed CACS. Even after adjustment, higher Lp(a) levels were associated with CAC progression. However, annualized Δ√transformed CACS analysis yielded no significant results.

Conclusion: This study demonstrated an association between elevated Lp(a) levels and CAC progression in a general population without ASCVD. However, longer-term follow-up studies are needed to obtain meaningful results regarding CAC progression. Further research is necessary to utilize Lp(a) level as a predictor of cardiovascular disease and to establish clinically relevant thresholds specific to the Korean population.

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.