OBJECTIVE: To use an individual participant data meta-analysis to evaluate the accuracy of two PHQ-9 diagnostic algorithms for detecting major depression and compare accuracy between the algorithms and the standard PHQ-9 cutoff score of ≥10.
METHODS: Medline, Medline In-Process and Other Non-Indexed Citations, PsycINFO, Web of Science (January 1, 2000, to February 7, 2015). Eligible studies that classified current major depression status using a validated diagnostic interview.
RESULTS: Data were included for 54 of 72 identified eligible studies (n participants = 16,688, n cases = 2,091). Among studies that used a semi-structured interview, pooled sensitivity and specificity (95% confidence interval) were 0.57 (0.49, 0.64) and 0.95 (0.94, 0.97) for the original algorithm and 0.61 (0.54, 0.68) and 0.95 (0.93, 0.96) for a modified algorithm. Algorithm sensitivity was 0.22-0.24 lower compared to fully structured interviews and 0.06-0.07 lower compared to the Mini International Neuropsychiatric Interview. Specificity was similar across reference standards. For PHQ-9 cutoff of ≥10 compared to semi-structured interviews, sensitivity and specificity (95% confidence interval) were 0.88 (0.82-0.92) and 0.86 (0.82-0.88).
CONCLUSIONS: The cutoff score approach appears to be a better option than a PHQ-9 algorithm for detecting major depression.
METHODS: A cross-sectional study design was carried out in Selangor, Malaysia. A total of 1380 Malaysian adults (≥18 years old) participated in a structured and validated questionnaire survey. TANITA body scale and SECA 206 body meter were used to measure the respondents' weight and height, from which measurements of their body mass index (BMI) were calculated.
RESULTS: The overall prevalence of obesity (BMI ≥ 30 kg/m2) among adults in Selangor, Malaysia, was 18.6%. Factors significantly associated with increased risk of obesity were: being female (OR = 1.61, 95% CI [1.20-2.17]), aged between 30 to 39 years old (OR = 1.40, 95% CI [1.04-1.88]), being Indian (OR = 1.55, 95% CI [1.13-2.12]), married (OR = 1.37, 95% CI [1.03-1.83]), and having only primary school education (OR = 1.80, 95% CI [1.17-2.78] or secondary school education (OR = 1.37, 95% CI [1.04-1.81]). In the multiple linear regression analysis (stepwise method), perceived stress (B = -0.107, p = 0.041), suicidal ideation (B = -2.423, p = 0.003), and quality of life in the physical health domain (B = -0.350, p = 0.003) inversely and significantly contributed to BMI among males. Among females, stressful life events contributed positively to BMI (B = 0.711, p < 0.001, whereas quality of life in the psychological domain had a negative effect (B = -0.478, p < 0.001) in this respect.
CONCLUSION: There is an urgent need to integrate psychological approaches to enhance the effectiveness of obesity prevention strategies and weight-loss programs.
METHODS: A nationwide survey was conducted among individuals aged ≥60 years. Cognition was assessed with the Identification and Intervention for Dementia in Elderly Africans (IDEA) tool. QoL of older caregivers was assessed using the Control, Autonomy, Self-Realization and Pleasure (CASP-19) questionnaire.
RESULTS: The prevalence of dementia among older adults aged ≥60 years in Malaysia was found to be 8.5%. The prevalence was found to be higher among females, those with no formal education and those in rural areas in Malaysia. The mean QoL of family caregivers of PLwD was significantly lower than the caregivers of older adults without dementia were (P
OBJECTIVE: This study aims to document the validation process in developing the Kegel Exercise Pregnancy Training app, which was designed to improve the PFMT adherence among pregnant women.
METHODS: We utilized an intervention mapping approach incorporated within the mobile health development and evaluation framework. The framework involved the following steps: (1) conceptualization, (2) formative research, (3) pretesting, (4) pilot testing, (5) randomized controlled trial, and (6) qualitative research. The user-centered design-11 checklist was used to evaluate the user-centeredness properties of the app.
RESULTS: A cross-sectional study was conducted to better understand PFMT and UI among 440 pregnant women. The study reported a UI prevalence of 40.9% (180/440), with less than half having good PFMT practice despite their good knowledge. Five focus group discussions were conducted to understand the app design preferred by pregnant women. They agreed a more straightforward design should be used for better app usability. From these findings, a prototype was designed and developed accordingly, and the process conformed to the user-centered design-11 (UCD-11) checklist. A PFMT app was developed based on the mHealth development and evaluation framework model, emphasizing higher user involvement in the application design and development. The application was expected to improve its usability, acceptability, and ease of use.
CONCLUSIONS: The Kegel Exercise Pregnancy Training app was validated using a thorough design and development process to ensure its effectiveness in evaluating the usability of the final prototype in our future randomized control trial study.