5 research outputs found
KEY FACTORS ASSOCIATED WITH LOW BIRTH WEIGHT AT TERM IN NEPAL: A CASE CONTROL STUDY
Background:Low Birth Weight (LBW) is a major public health problem in developing countries including Nepal. Nepal has a prevalence of LBW of 21%. There are various factors associated to high prevalence of LBW. This study aimed to identify specific factors associated to LBW at term in hospital settings in Nepal. Methodology: This study used a hospital based case control design. Hospital nurses interviewed mothers aged 15-45 years who had delivered a full term, single and live baby. Results: A total of 1533 respondents (511 cases and 1022 controls) were taken which is slightly more than the estimated sample size. The mean weight of newborns among case group was 2215 gm (SD:203); and among control group was 3012gm (SD:367). This study revealed that factors such as mothers under 20 years old (OR=1.436, 95% CI:1.074-1.920); height below 145cm (OR=1.504, 95% CI:1.087 -2.083); primigravida (OR=1.423, 95% CI:1.132-1.788); illiterate (OR=1.407 95% CI:1.011-1.957); <4 ANC visits (OR=1.534, 95% CI:1.202-1.957); and iron supplement <180 tabs (OR=1.434, 95% CI:1.152-1.786) were associated with LBW. However, variables like <20 years at the first pregnancy (OR=1.139, 95% CI: 0.904-1.433), disadvantaged ethnicity (OR=1.077, 95% CI: 0.861-1.347) were not associated with LBW in this study.Conclusion: Maternal height, education, number of ANC visits, and iron consumption were strong predictors for LBW in Nepal. It would benefit the country to develop effective strategies on maternal nutrition, female education, and quality ANC to overcome LBW.KEYWORDS: Low Birth Weight; Socio-demographic and antenatal care, Case control design
KEY FACTORS ASSOCIATED WITH LOW BIRTH WEIGHT AT TERM IN NEPAL: A CASE CONTROL STUDY
Background:Low Birth Weight (LBW) is a major public health problem in developing countries including Nepal. Nepal has a prevalence of LBW of 21%. There are various factors associated to high prevalence of LBW. This study aimed to identify specific factors associated to LBW at term in hospital settings in Nepal. Methodology: This study used a hospital based case control design. Hospital nurses interviewed mothers aged 15-45 years who had delivered a full term, single and live baby. Results: A total of 1533 respondents (511 cases and 1022 controls) were taken which is slightly more than the estimated sample size. The mean weight of newborns among case group was 2215 gm (SD:203); and among control group was 3012gm (SD:367). This study revealed that factors such as mothers under 20 years old (OR=1.436, 95% CI:1.074-1.920); height below 145cm (OR=1.504, 95% CI:1.087 -2.083); primigravida (OR=1.423, 95% CI:1.132-1.788); illiterate (OR=1.407 95% CI:1.011-1.957); <4 ANC visits (OR=1.534, 95% CI:1.202-1.957); and iron supplement <180 tabs (OR=1.434, 95% CI:1.152-1.786) were associated with LBW. However, variables like <20 years at the first pregnancy (OR=1.139, 95% CI: 0.904-1.433), disadvantaged ethnicity (OR=1.077, 95% CI: 0.861-1.347) were not associated with LBW in this study.Conclusion: Maternal height, education, number of ANC visits, and iron consumption were strong predictors for LBW in Nepal. It would benefit the country to develop effective strategies on maternal nutrition, female education, and quality ANC to overcome LBW.KEYWORDS: Low Birth Weight; Socio-demographic and antenatal care, Case control design
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The COVID‐19 Pandemic Not Only Poses Challenges, but Also Opens Opportunities for Sustainable Transformation
The COVID-19 pandemic has impacted social, economic, and environmental systems worldwide, slowing down and reversing the progress made in achieving the Sustainable Development Goals (SDGs). SDGs belong to the 2030 Agenda to transform our world by tackling humankind's challenges to ensure well-being, economic prosperity, and environmental protection. We explore the potential impacts of the pandemic on SDGs for Nepal. We followed a knowledge co-creation process with experts from various professional backgrounds, involving five steps: online survey, online workshop, assessment of expert's opinions, review and validation, and revision and synthesis. The pandemic has negatively impacted most SDGs in the short term. Particularly, the targets of SDG 1, 4, 5, 8, 9, 10, 11, and 13 have and will continue to have weakly to moderately restricting impacts. However, a few targets of SDG 2, 3, 6, and 11 could also have weakly promoting impacts. The negative impacts have resulted from impeding factors linked to the pandemic. Many of the negative impacts may subside in the medium and long terms. The key five impeding factors are lockdowns, underemployment and unemployment, closure of institutions and facilities, diluted focus and funds for non-COVID-19-related issues, and anticipated reduction in support from development partners. The pandemic has also opened a window of opportunity for sustainable transformation, which is short-lived and narrow. These opportunities are lessons learned for planning and action, socio-economic recovery plan, use of information and communication technologies and the digital economy, reverse migration and “brain gain,” and local governments' exercising authorities