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1.
Waste Manag Res ; 40(6): 721-735, 2022 Jun.
Article in English | MEDLINE | ID: mdl-34472410

ABSTRACT

Waste sorting and recycling (WSAR) is a crucial issue for sustainable waste management. Growing up with new values, the younger generation has the responsibility to lead the society towards a sustainable future. The successful implementation of WSAR requires an in-depth understanding of the attitudes and obstacles of the youth participation. This study seeks to explore and compare the influencing factors of youth engagement in WSAR in Shenzhen, China and Turku, Finland by drawing on the theory of planned behaviour. Quantitative data was collected from 170 youth citizens in Shenzhen and 179 in Turku. Structural equation modelling results suggest that there is a clear consistency between the youth's intention and behaviour in both cities. Two reverse pyramids were constructed to prioritize the influencing factors based on their importance in the structural models. Subjective norms, knowledge and perceived behavioural control are key influencing factors in Shenzhen group while in Turku' s setting, compatibility acts as a top determinant whereas, subjective norms have the least influencing power. Results from Turku also reveal that lower compatibility does not necessarily hinder youth participation in WSAR practice. Several suggestions and implications on boosting youth participation in WSAR are drawn, based on these findings.


Subject(s)
Intention , Waste Management , Adolescent , China , Finland , Humans , Recycling , Surveys and Questionnaires
2.
J Glob Health ; 12: 04095, 2022 Nov 08.
Article in English | MEDLINE | ID: mdl-36342813

ABSTRACT

Background: Maternal health-seeking behaviours (MHSB) are crucial for maintaining maternal health and reducing the maternal mortality ratio (MMR). However, little is known about age-specific MHSB in African countries. This study aims to examine the association between composite indicators of maternal characteristics, household conditions, and socioeconomic factors with MHSB among women from different childbearing age groups in 10 African countries. Methods: Based on the responses of 77 303 women and 68 391 households in 10 African countries to a nationally-representative round of the Multiple Indicator Cluster Survey (MICS6), we used age at childbearing to categorize women into groups according to their recent MHSB. In both pooled and age-specific analysis, multivariable logistic regression was applied to identify the predictors associated with MHSB. These factors were ranked with four sets of regression models. Results: This cross-sectional study found a prevalence of 27.69% (95% confidence interval (CI) = 26.93%-28.46%), 45.14% (95% CI = 44.29%-46.00%), and 28.60% (95% CI = 27.82%-29.40%) for four or more antenatal care visits (ANC4), intrapartum care (IPC), and postnatal care (PNC) service utilization, respectively. In the full sample, high household wealth ranked as the strongest determinant for all three MHSB, followed by mass media exposure for ANC4 utilization (odds ratio (OR) = 1.45; 95% CI = 1.20-1.76, P < 0.001), and higher education levels (secondary school education) for IPC and PNC utilization (IPC: OR = 1.49; 95% CI = 1.23-1.79, P < 0.001, PNC: OR = 1.39; 95% CI = 1.20-1.62, P < 0.001). However, higher maternal parity (three births and above) was associated with lower utilization of ANC4 (OR = 0.86; 95% CI = 0.76-0.96, P < 0.007), and residence in rural areas was associated with a lower IPC and PNC utilization (IPC: OR = 0.65; 95% CI = 0.54-0.79, P < 0.001, PNC: OR = 0.70; 95% CI = 0.57-0.85, P < 0.001). Conclusions: Our study provided further information on the direct and indirect factors associated with the utilization of maternal health services by women of different childbearing ages in 10 African countries. Additionally, the heterogeneous results among different childbearing age groups suggest that age-specific programmes and national policies are crucial for improving MHSB, and thus reducing MMR in Africa.


Subject(s)
Patient Acceptance of Health Care , Prenatal Care , Female , Pregnancy , Humans , Cross-Sectional Studies , Socioeconomic Factors , Africa , Age Factors
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