Determinants of alcohol use among young males in two Indian states: A population-based study.

OBJECTIVES: There is insufficient evidence about the determinants of alcohol use amongst young people in India and other low-and middle-income countries, despite alcohol's high contribution to disease burden and increasing consumption in this population. We aimed to identify and estimate the determinants of alcohol use in a representative sample of 2716 young men from Bihar and Uttar Pradesh who participated in the 'Understanding the Lives of Adolescents and Young Adults' (UDAYA) study. METHODS: First, we developed an exploratory conceptual framework of potential alcohol use determinants in the study settings based on available literature. We then estimated the effects of 35 potential alcohol use determinants identified in the conceptual framework (including 14 latent factors identified through exploratory factor analysis) on any alcohol use in the past 3 years and regular alcohol use amongst past three-year drinkers, using mixed-effects logistic models. The determinants explored were operationalised using longitudinal data from the UDAYA study. RESULTS: Our adjusted models identified 18 determinants for past 3-year alcohol use and 12 determinants for regular use. Distal determinants (e.g., socioeconomic status), intermediate determinants (e.g., parental alcohol use, media use), and proximal determinants (e.g., emotional regulation, early tobacco use) were identified. Geographical variations in both outcomes indicate potential differences in unmeasured community-level determinants (e.g., alcohol availability and acceptability). CONCLUSIONS: Our findings extend the generalizability of several known determinants across settings, yet highlight the importance of addressing alcohol use in young people as a complex and context-dependent issue. Many identified determinants (e.g., education, media use, poor parental support, early tobacco use) are amenable to intervention through multi-sectoral prevention programs/policies. Such determinants should be the focus of ongoing policy/intervention development efforts in the region, and our revised conceptual framework may inform further research in India or similar South Asian settings.

Exploring the measurement of health related quality of life and broader instruments: A dimensionality analysis.

BACKGROUND: Comprehensively measuring the outcomes of interventions and policy programmes impacting both health and broader areas of quality of life (QoL) is important for decision-making within and across sectors. Increasingly, broad QoL measures are being developed to capture outcomes beyond health-related quality of life (HRQoL). Jointly exploring the dimensionality of diverse instruments can improve our understanding about their evaluative space and how they conceptually build on each other. This study explored the measurement relationship between five broader QoL measures and the most widely used HRQoL measure, the EQ-5D. METHODS: Participants from the Dutch general population (n = 1002) completed six instruments (n = 126 items) in December of 2020. The measurement relationship was explored using qualitative and quantitative dimensionality assessment methods. This included a content analysis and exploratory factor analyses which were used to develop a confirmatory factor model of the broader QoL dimensions. Correlations between the identified dimensions and self-reported overall health and wellbeing were also explored. RESULTS: The final CFA model exhibited acceptable/good fit and described 12 QoL dimensions: 'psychological symptoms', 'social relations', 'physical functioning', 'emotional resilience', 'pain', 'cognition', 'financial needs', 'discrimination', 'outlook on life/growth', 'access to public services', 'living environment', and 'control over life'. All dimensions were positively correlated to self-reported health and wellbeing, but the magnitudes in associations varied considerably (e.g., 'pain' had the strongest correlation with overall health but a weak correlation with wellbeing). CONCLUSIONS: This study contributes to a broader understanding of QoL by exploring the dimensionality and relationships among various QoL measures. A number of the dimensions identified are HRQoL-focused, with others covering broader constructs. Our findings offer insights for the development of comprehensive instruments, or use of instrument suites that capture multidimensional aspects of QoL. Further research should explore the relevance and feasibility/appropriateness of measuring the identified dimensions in different settings and populations.

Cost effectiveness of implanting a prosthesis after anterior cervical discectomy for radiculopathy: results of the NECK randomized controlled trial.

BACKGROUND CONTEXT: In the treatment of cervical radiculopathy due to a herniated disc, potential surgical treatments include: anterior cervical discectomy (ACD), ACD and fusion using a cage (ACDF), and anterior cervical disc arthroplasty (ACDA). Previous publications yielded comparable clinical and radiological outcome data for the various implants, but research on their comparative costutility has been inconclusive. PURPOSE: To evaluate the cost utility of ACD, ACDF, and ACDA. STUDY DESIGN: Cost-utility analysis. PATIENT SAMPLE: About 109 patients with cervical radiculopathy randomized to undergo ACD, ACDF, or ACDA as part of the NEtherlands Cervical Kinetics trial. OUTCOME MEASURES: Quality-adjusted life-years (QALYs) estimated from patient-reported utilities using the EuroQol-5D questionnaire and EuroQol Visual Analogue Scale (EQ VAS), measured at baseline, 2, 4, 8, 12, 26, 52, and 104 weeks postprocedure. Societal costs including admissions to hospital (related and otherwise), GP visits, specialist visits, physical therapy, medications, home care, aids, informal care, productivity losses, and out of pocket condition-related expenses. METHODS: The cost utility of the competing strategies over 1 and 2 years was assessed following a net benefit (NB) approach, whereby the intervention with the highest NB among competing strategies is preferred. Cost effectiveness acceptability curves were produced to reflect the probability of each strategy being the most cost effective across various willingness-to-pay (WTP) thresholds. Five sensitivity analyses were conducted to assess the robustness of results. RESULTS: ACDF was more likely to be the most cost-effective strategy at WTP thresholds of €20,000 to 50,000/QALY in all but one of the analyses. The mean QALYs during the first year were 0.750, 0.817, and 0.807 for ACD, ACDF, and ACDA, respectively, with no significant differences between groups. Total healthcare costs over the first year were significantly higher for ACDA, largely due to the higher surgery and implant costs. The total societal costs of the three strategies were €12,173 for ACD, €11,195 for ACDF, and €13,746 for ACDA, with no significant differences between groups. CONCLUSION: Our findings demonstrate that ACDF is likely to be more cost-effective than ACDA or ACD at most WTP thresholds, and this conclusion is robust to most sensitivity analyses conducted. It is demonstrated that the difference in costs is mainly caused by the initial surgical costs and that there are only minimal differences in other costs during follow-up. Since clinical data are comparable between the groups, it is to the judgment of the patient and surgeon which intervention is applied.