Cultural Adaption and Psychometric Analysis of Family APGAR Scale in Iranian Older People

Psychometric adequacy of the persian adapted version of the tilburg frailty indicator (P-TFI)

BACKGROUND

Frailty is identified as the primary goal of preventing the various consequences. The present study aimed to assess validity and reliability of the Persian adapted version of the Tilburg frailty indicator (TFI) in Iran.

METHOD

This cross-sectional study included three phases of translating the indicator to Persian, assessing the face and content validity, completing the P-TFI by older people, who helped assess the reliability and construct validity. For construct validity, convergent and divergent validity were used. It was expected that the TFI domain scores would show the highest correlations with their related measures of frailty (convergent construct validity) and the lowest correlations with measures of the other domains (divergent construct validity). The study population consisted of 400 older people, selected from six health care centers.

RESULTS

The mean age of the participants was 69.05 ± 7.28 years and the majority of the participants were married woman with less than a high school education. The total mean score of TFI was 8.26 ± 1.80, and 42.75% was classified as frail. The test-retest reliability was 0.88 for the total scale, 0.80 for physical, 0.65 for psychological, and 0.81 for social domains. The mean score of frailty and its dimensions (physical, psychological, and social) varied from 4.35 ± 1.78, 1.81 ± 1.33, 1.69 ± 0.73, and 0.86 ± 0.61, respectively. The total score of the TFI was correlated with each alternative measure and the convergent validity was proved. Further, the kappa values ranging from 535 to 0.967 were significant and test- retest reliability for total, physical, psychological, and social dimension were 0.88, 080, 065, and 081, respectively. Further, the convergent or divergent validity is being discussed for clarity.

CONCLUSION

The Persian version of the TFI is valid and easy scored tools among Iranian's older people.

Risk factors and a nomogram for predicting cognitive frailty in Chinese patients with lung cancer receiving drug therapy: A single-center cross-sectional study

BACKGROUND

To identify independent factors of cognitive frailty (CF) and construct a nomogram to predict cognitive frailty risk in patients with lung cancer receiving drug therapy.

METHODS

In this cross-sectional study, patients with lung cancer undergoing drug therapy from October 2022 to July 2023 were enrolled. The data collected includes general demographic characteristics, clinical data characteristics and assessment of tools for cognitive frailty and other factors. Logistic regression was harnessed to determine the influencing factors, R software was used to establish a nomogram model to predict the risk of cognitive frailty. The enhanced bootstrap method was employed for internal verification of the model. The performance of the nomogram was evaluated by using calibration curves, the area under the receiver operating characteristic curve, and decision curve analysis.

RESULTS

A total of 372 patients were recruited, with a cognitive frailty prevalence of 56.2%. Age, education background, diabetes mellitus, insomnia, sarcopenia, and nutrition status were identified as independent factors. Then, a nomogram model was constructed and patients were classified into high- and low-risk groups with a cutoff value of 0.552. The internal validation results revealed good concordance, calibration and discrimination. The decision curve analysis presented prominent clinical utility.

CONCLUSIONS

The prevalence of cognitive frailty was higher in lung cancer patients receiving drug therapy. The nomogram could identify the risk of cognitive frailty intuitively and simply in patients with lung cancer, so as to provide references for early screening and intervention for cognitive frailty at the early phases of drug treatment.

The family dynamics of children on the streets of Ibadan, Southwest Nigeria

BACKGROUND

 Children roaming the streets estimated at 1 in 10 by a 2021 United Nation Children's Funds (UNICEF) report is a growing problem, in cities of lower- and middle-income African countries. Studies of street children with no family ties abound, but there is a paucity of studies on children on the street who exist within families and return home daily. We explored the family dynamics of children on the streets of Ibadan, emphasising family structure, resources and relationships.

METHODS

 Using an exploratory design based on a qualitative approach 53 participants were interviewed, including children on the streets, parental figures, child-welfare officers and street shop owners. Participants were selected from streets in the five urban local government areas of Ibadan, Nigeria. Recorded data were transcribed, and framework analysis was performed.

RESULTS

 The family dynamics included family structural problems, poor family resources and poor parent-child relationships. The family structural problems included: broken homes, large families and ambivalence around polygamy as subthemes. Family resources comprised: poor economic resources, poor social resources, educational challenges, cultural ambivalence and spiritual backdrops. The family relationships patterns included: poor adaptability, economic-oriented partnership, poor growth support, poor emotional connection and poor family bonding.

CONCLUSION

 The dynamics driving a family's choice for child streetism in Ibadan, mostly to hawk, are devaluation of family life, parenting irresponsibility, and poor filial relationship, underscored by economic constraints and socio-cultural decadence. The results of this research buttress the need for family-level interventions to forestall the escalating phenomenon of child streetism in Ibadan, Nigeria.Contribution: This research highlights the family dynamics of children on the streets, and buttresses family-level interventions are necessary to forestall escalating child-streetism in Ibadan, Nigeria.

Analysis of the Functioning of Families of Children with Autism Spectrum Disorder: A Psychometric Study of the Family APGAR Scale

Normalised family functioning is a predictor of individual well-being. The diagnosis of a family member with autism spectrum disorder (ASD) can alter the ordinary dynamics of family systems, having a variable impact on family functioning. This research employed a non-probability convenience sampling method to gather a sample of 327 families with and without children diagnosed with ASD. This study has dual objectives: to analyse the psychometric properties of the Spanish version of the Family APGAR Scale and to compare family functioning in families with and without a child with ASD. The results reveal several favourable psychometric properties in the application of the APGAR scale within families of children with ASD. The use of the Family APGAR Scale in the selected sample confirms that the functioning of families with children with ASD can be categorized as mildly dysfunctional, attributed to the inherent challenges in caring for and raising a child with ASD. The presence of ASD within family systems presents a challenge to typical family functioning, with significant differences observed between families with and without children with ASD. This underscores the necessity of implementing effective intervention programs based on empirical evidence to improve the quality of life for individuals with ASD and their families.

Nomogram reliability for predicting potential risk in postgraduate medical students with anxiety symptoms

Purpose

This research aims to develop a Nomogram for exact anxiety symptoms prediction in postgraduate medical students so that they may be identified as high-risk individuals early and get focused care.

Methods

Using a convenient sampling method, for case-control matching, 126 participants with anxiety symptoms and 774 participants of the same age and gender but without anxiety symptoms were designated as the case group and control group, respectively. Multivariable logistic regression analysis was utilized to identify influencing factors for anxiety symptoms, then used to design and verify a Nomogram of anxiety symptoms.

Results

Multivariate logistic regression analysis showed that lack of social support (OR = 0.95, 95%CI: 0.91-0.99), low life satisfaction (OR = 0.91, 95%CI: 0.86-0.95), low subjective well-being (OR = 0.58, 95%CI: 0.41-0.83) and frequent tobacco and alcohol use (OR = 1.75, 95%CI: 1.10-2.80) were independent predictors of anxiety symptoms in postgraduate medical students (P < 0.05). The Nomogram risk prediction model based on the above four independent prediction factors was established, and the verified C-index (Concordance index) is 0.787 (95%CI: 0.744-0.803, P < 0.001).

Conclusions

Anxiety symptoms in postgraduate medical students are influenced by various variables. The Nomogram prediction model has high accuracy, validity, and reliability, which can provide reference for predicting anxiety symptoms in postgraduate medical students.