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Search Results: 1 - 10 of 3856 matches for " Nawi Ng "
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Voluntary Work during Times of Military Crisis: What Motivates People to Be Involved and What Are the Effects on Well-Being?  [PDF]
Kateryna Karhina, Mehdi Ghazinour, Nawi Ng, Malin Eriksson
Psychology (PSYCH) , 2017, DOI: 10.4236/psych.2017.810106
Abstract: The positive health effects of volunteering are quite well described in the literature; however, potential negative effects of volunteering are less explored. Volunteering got attention in Ukraine because of the recent political crisis that brought military conflict to the Eastern part of the country in 2014. Informal volunteering has transformed into a formal one. In order to be able to organize volunteering that promotes well-being, it is important to have more in-depth knowledge about motives behind volunteering as well as the positive and potential negative effects of it. We explore the case voluntary work in of one of the cities in Ukraine. Military conflict context has its own specifics and different motives make people act voluntarily. There are goal-oriented, value-oriented, affectual and traditional motives present in our data. The data shows that involvement in volunteering brings positive returns on well-being of the providers such as enlarging the circles of friendship and expanding the networks volunteers involved in; brings positive emotions into life; compensates the efforts and gives meaning to life. However, the negative effects of volunteering are also present. They are physical tiredness and a lot of time spent on volunteering activities; becoming disconnected from the ordinary (non-volunteering) world; unsafety; neglect of own needs and experiences of negative emotions out of the involvement in volunteering activities.
Short Term Effects of Weather on Hand, Foot and Mouth Disease
Yien Ling Hii,Joacim Rockl?v,Nawi Ng
PLOS ONE , 2012, DOI: 10.1371/journal.pone.0016796
Abstract: Hand, foot, and mouth disease (HFMD) outbreaks leading to clinical and fatal complications have increased since late 1990s; especially in the Asia Pacific Region. Outbreaks of HFMD peaks in the warmer season of the year, but the underlying factors for this annual pattern and the reasons to the recent upsurge trend have not yet been established. This study analyzed the effect of short-term changes in weather on the incidence of HFMD in Singapore.
Who is using snus? - Time trends, socioeconomic and geographic characteristics of snus users in the ageing Swedish population
Margareta Norberg, Gunnar Malmberg, Nawi Ng, G?ran Brostr?m
BMC Public Health , 2011, DOI: 10.1186/1471-2458-11-929
Abstract: This study utilized the Linnaeus Database, which links national registers with comprehensive individual data on socioeconomic status (SES) to health data from a large ongoing health survey, the V?sterbotten Intervention Programme (VIP). The VIP targets the entire middle-aged population of V?sterbotten county at ages 40, 50 and 60 years with yearly cross-sectional surveys including self-reported data on tobacco habits. Time trends of snus use among 92,563 VIP-participants across different areas of residence and smoking groups were investigated graphically. Logistic regression was performed to estimate the associations between SES and geographical variables and current use versus non-use of snus.Overall, in parallel to decreasing smoking, the increasing trend of snus use in this middle-aged population continues, particularly in 40-year-olds. In both genders, the highest prevalence of snus use was observed among previous smokers. The prevalence of snus use also increased over time among smokers, and was consistently higher compared to those who had never smoked. Among males - both those who had never smoked and previous smokers - low education (OR 1.21, 95%CI 1.06-1.40 and OR 1.28, 95%CI 1.14-1.43), living alone (OR 1.16, 95%CI 1.07-1.27 and OR 1.13, 95%ci 1.04-1.23), low income and living in rural areas was associated with using snus, while this was not seen among male current smokers. Among women, living alone was associated with using snus irrespective of smoking habits. Among female smokers, the OR for snus use increased with higher education.A disadvantaged social profile and also higher prevalence in rural areas is observed among male snus users who had never smoked or were previous smokers. Among male smokers there was no association between SES and use of snus. The prevalence of snus use among women is increasing, but is still considerably lower than that of men. The association between snus and SES characteristics is less pronounced among women, although snus
Gender equality in couples and self-rated health - A survey study evaluating measurements of gender equality and its impact on health
Ann S?rlin, Lars Lindholm, Nawi Ng, Ann ?hman
International Journal for Equity in Health , 2011, DOI: 10.1186/1475-9276-10-37
Abstract: This study was a cross-sectional survey with 1400 respondents. We measured gender equality using two different measures: 1) a self-reported gender equality index, and 2) a self-perceived gender equality question. The aim of comparison of the self-reported gender equality index with the self-perceived gender equality question was to reveal possible disagreements between the normative discourse on gender equality and daily practice in couple relationships. We then evaluated the association with health, measured as self-rated health (SRH). With SRH dichotomized into 'good' and 'poor', logistic regression was used to assess factors associated with the outcome. For the comparison between the self-reported gender equality index and self-perceived gender equality, kappa statistics were used.Associations between gender equality and health found in this study vary with the type of gender equality measurement. Overall, we found little agreement between the self-reported gender equality index and self-perceived gender equality. Further, the patterns of agreement between self-perceived and self-reported gender equality were quite different for men and women: men perceived greater gender equality than they reported in the index, while women perceived less gender equality than they reported. The associations to health were depending on gender equality measurement used.Men and women perceive and report gender equality differently. This means that it is necessary not only to be conscious of the methods and measurements used to quantify men's and women's opinions of gender equality, but also to be aware of the implications for health outcomes.Men and women have different patterns of morbidity and mortality [1]. In Sweden, as in most other countries, women live longer (83.3 yrs in Sweden) than men (78.6 yrs in Sweden) but report more ill-health and have higher healthcare utilization [2]. These differences between the sexes present a challenge to the field of public health. The questi
Factors affecting the use of maternal health services in Madhya Pradesh state of India: a multilevel analysis
Tej Ram Jat, Nawi Ng, Miguel San Sebastian
International Journal for Equity in Health , 2011, DOI: 10.1186/1475-9276-10-59
Abstract: This study was designed as a cross sectional study. Data from 15,782 ever married women aged 15-49 years residing in Madhya Pradesh state of India who participated in the District Level Household and Facility Survey (DLHS-3) 2007-08 were used for this study. Multilevel logistic regression analysis was performed accounting for individual, community and district level factors associated with the use of maternal health care services. Type of residence at community level and ratio of primary health center to population and percent of tribal population in the district were included as district level variables in this study.The results of this study showed that 61.7% of the respondents used ANC at least once during their most recent pregnancy whereas only 37.4% women received PNC within two weeks of delivery. In the last delivery, 49.8% mothers were assisted by skilled personnel. There was considerable amount of variation in the use of maternal health services at community and district levels. About 40% and 14% of the total variance in the use of ANC, 29% and 8% of the total variance in the use of skilled attendance at delivery and 28% and 8.5% of the total variance in the use of PNC was attributable to differences across communities and districts, respectively. When controlled for individual, community and district level factors, the variances in the use of skilled attendance at delivery attributed to the differences across communities and districts were reduced to 15% and 4.3% respectively. There were only marginal reductions observed in the variance at community and district level for ANC and PNC use. The household socio-economic status and mother's education were the most important factors associated with the use of ANC and skilled attendance at delivery. The community level variable was only significant for ANC and skilled attendance at delivery but not for PNC. None of the district level variables used in this study were found to be influential factors for the use o
Trends of blood pressure levels and management in V sterbotten County, Sweden, during 1990–2010
Nawi Ng,Bo Carlberg,Lars Weinehall,Margareta Norberg
Global Health Action , 2012, DOI: 10.3402/gha.v5i0.18195
Abstract: Background: Availability of longitudinal data on hypertension and blood pressure levels are important to assess changes over time at the population level. Moreover, detailed information in different population sub-groups is important to understand inequity and social determinants of blood pressure distribution in the population. Objectives: The objectives of this study are to: (1) describe the trends of population blood pressure levels in men and women between different educational levels and geographic areas in Sweden during 1990–2010; (2) identify prevalences of hypertension, awareness, treatment, and control in the population; and (3) assess the 10-year risk of developing hypertension among individuals with normal and high normal blood pressures. Methods: This study is based on data from the V sterbotten Intervention Program (VIP) in V sterbotten County, Sweden. The cross-sectional analysis includes 133,082 VIP health examinations among individuals aged 30, 40, 50, and 60 years from 1990 to 2010. The panel analysis includes 34,868 individuals who were re-examined 10 years after the baseline examination. Individuals completed a self-administered health questionnaire that covers demographic and socio-economic information, self-reported health, and lifestyle behaviours. Blood pressure measurement was obtained prior to the questionnaire. In the cross-sectional analysis, trends of blood pressure by sex, and between educational groups and geographic areas are presented. In the panel analysis, the 10-year risk of developing hypertension is estimated using the predicted probability from logistic regression analysis for each sex, controlling for age and educational level. Results: The prevalence of hypertension decreased from 1990 to 2010; from 43.8 to 36.0% (p < 0.001) among men, and 37.6 to 27.5% among women (p < 0.001). Individuals with basic education had a significantly higher prevalence of hypertension compared to those with medium or high education. Although the decreases were observed in all geographic areas, individuals in rural inland areas had a much higher prevalence compared to those who lived in Ume City. The proportion of hypertensive women who were aware of their hypertension (61.7%) was significantly higher than men (51.6%). About 34% of men and 42% of women with hypertension reported taking blood pressure medication. Over time, awareness and control of hypertension improved (from 46.5% in 1990 to 69% in 2010 and from 30 to 65%, respectively). The gaps between educational groups diminished. This study shows a significantly higher risk of deve
Health inequalities among older men and women in Africa and Asia: evidence from eight Health and Demographic Surveillance System sites in the INDEPTH WHO-SAGE Study
Nawi Ng,Paul Kowal,Kathleen Kahn,Nirmala Naidoo
Global Health Action , 2010, DOI: 10.3402/gha.v3i0.5420
Abstract: Background: Declining rates of fertility and mortality are driving demographic transition in all regions of the world, leading to global population ageing and consequently changing patterns of global morbidity and mortality. Understanding sex-related health differences, recognising groups at risk of poor health and identifying determinants of poor health are therefore very important for both improving health trajectories and planning for the health needs of ageing populations. Objectives: To determine the extent to which demographic and socio-economic factors impact upon measures of health in older populations in Africa and Asia; to examine sex differences in health and further explain how these differences can be attributed to demographic and socio-economic determinants. Methods : A total of 46,269 individuals aged 50 years and over in eight Health and Demographic Surveillance System (HDSS) sites within the INDEPTH Network were studied during 2006–2007 using an abbreviated version of the WHO Study on global AGEing and adult health (SAGE) Wave I instrument. The survey data were then linked to longitudinal HDSS background information. A health score was calculated based on self-reported health derived from eight health domains. Multivariable regression and post-regression decomposition provide ways of measuring and explaining the health score gap between men and women. Results: Older men have better self-reported health than older women. Differences in household socio-economic levels, age, education levels, marital status and living arrangements explained from about 82% and 71% of the gaps in health score observed between men and women in South Africa and Kenya, respectively, to almost nothing in Bangladesh. Different health domains contributed differently to the overall health scores for men and women in each country. Conclusion: This study confirmed the existence of sex differences in self-reported health in low- and middle-income countries even after adjustments for differences in demographic and socio-economic factors. A decomposition analysis suggested that sex differences in health differed across the HDSS sites, with the greatest level of inequality found in Bangladesh. The analysis showed considerable variation in how differences in socio-demographic and economic characteristics explained the gaps in self-reported health observed between older men and women in African and Asian settings. The overall health score was a robust indicator of health, with two domains, pain and sleep/energy, contributing consistently across the HDSS sites. Further stud
Health and quality of life among older rural people in Purworejo District, Indonesia
Nawi Ng,Mohammad Hakimi,Peter Byass,Siswanto Wilopo
Global Health Action , 2010, DOI: 10.3402/gha.v3i0.2125
Abstract: Introduction: Increasing life expectancy and longevity for people in many highly populated low- and middle-income countries has led to an increase in the number of older people. The population aged 60 years and over in Indonesia is projected to increase from 8.4% in 2005 to 25% in 2050. Understanding the determinants of healthy ageing is essential in targeting health-promotion programmes for older people in Indonesia. Objective: To describe patterns of socio-economic and demographic factors associated with health status, and to identify any spatial clustering of poor health among older people in Indonesia. Methods: In 2007, the WHO Study on global AGEing and adult health (SAGE) was conducted among 14,958 people aged 50 years and over in Purworejo District, Central Java, Indonesia. Three outcome measures were used in this analysis: self-reported quality of life (QoL), self-reported functioning and disability, and overall health score calculated from self-reported health over eight health domains. The factors associated with each health outcome were identified using multivariable logistic regression. Purely spatial analysis using Poisson regression was conducted to identify clusters of households with poor health outcomes. Results: Women, older age groups, people not in any marital relationship and low educational and socio-economic levels were associated with poor health outcomes, regardless of the health indices used. Older people with low educational and socio-economic status (SES) had 3.4 times higher odds of being in the worst QoL quintile (OR=3.35; 95% CI=2.73–4.11) as compared to people with high education and high SES. This disadvantaged group also had higher odds of being in the worst functioning and most disabled quintile (OR=1.67; 95% CI=1.35–2.06) and the lowest overall health score quintile (OR=1.66; 95% CI=1.36–2.03). Poor health and QoL are not randomly distributed among the population over 50 years old in Purworejo District, Indonesia. Spatial analysis showed that clusters of households with at least one member being in the worst quintiles of QoL, functioning and health score intersected in the central part of Purworejo District, which is a semi-urban area with more developed economic activities compared with other areas in the district. Conclusion: Being female, old, unmarried and having low educational and socio-economic levels were significantly associated with poor self-reported QoL, health status and disability among older people in Purworejo District. This study showed the existence of geographical pockets of vulnerable older people
Climate change and eHealth: a promising strategy for health sector mitigation and adaptation
?sa Holmner,Joacim Rockl?v,Nawi Ng,Maria Nilsson
Global Health Action , 2012, DOI: 10.3402/gha.v5i0.18428
Abstract: Climate change is one of today's most pressing global issues. Policies to guide mitigation and adaptation are needed to avoid the devastating impacts of climate change. The health sector is a significant contributor to greenhouse gas emissions in developed countries, and its climate impact in low-income countries is growing steadily. This paper reviews and discusses the literature regarding health sector mitigation potential, known and hypothetical co-benefits, and the potential of health information technology, such as eHealth, in climate change mitigation and adaptation. The promising role of eHealth as an adaptation strategy to reduce societal vulnerability to climate change, and the link's between mitigation and adaptation, are also discussed. The topic of environmental eHealth has gained little attention to date, despite its potential to contribute to more sustainable and green health care. A growing number of local and global initiatives on ‘green information and communication technology (ICT)’ are now mentioning eHealth as a promising technology with the potential to reduce emission rates from ICT use. However, the embracing of eHealth is slow because of limitations in technological infrastructure, capacity and political will. Further research on potential emissions reductions and co-benefits with green ICT, in terms of health outcomes and economic effectiveness, would be valuable to guide development and implementation of eHealth in health sector mitigation and adaptation policies.
Bringing evidence to policy to achieve health-related MDGs for all: justification and design of the EPI-4 project in China, India, Indonesia, and Vietnam
Sarah Thomsen,Nawi Ng,Xu Biao,G?ran Bondjers
Global Health Action , 2013, DOI: 10.3402/gha.v6i0.19650
Abstract: Background: The Millennium Development Goals (MDGs) are monitored using national-level statistics, which have shown substantial improvements in many countries. These statistics may be misleading, however, and may divert resources from disadvantaged populations within the same countries that are showing progress. The purpose of this article is to set out the relevance and design of the “Evidence for Policy and Implementation project (EPI-4)”. EPI-4 aims to contribute to the reduction of inequities in the achievement of health-related MDGs in China, India, Indonesia and Vietnam through the promotion of research-informed policymaking. Methods: Using a framework provided by the Commission on the Social Determinants of Health (CSDH), we compare national-level MDG targets and results, as well as their social and structural determinants, in China, India, Indonesia and Vietnam. Results: To understand country-level MDG achievements it is useful to analyze their social and structural determinants. This analysis is not sufficient, however, to understand within-country inequities. Specialized analyses are required for this purpose, as is discussion and debate of the results with policymakers, which is the aim of the EPI-4 project. Conclusion: Reducing health inequities requires sophisticated analyses to identify disadvantaged populations within and between countries, and to determine evidence-based solutions that will make a difference. The EPI-4 project hopes to contribute to this goal.
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