Seasonal variations of all-cause and cause-specific mortality by age, gender, and socioeconomic condition in urban and rural areas of Bangladesh

Burkart, Katrin; Khan, Mobarak Hossain; Krämer, Alexander; Breitner, Susanne; Schneider, Alexandra; Endlicher, Wilfried

doi:10.1186/1475-9276-10-32

Cited by 46 publications

(40 citation statements)

References 34 publications

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“…Seasonal patterns of mortality and morbidity are a well-known phenomenon in many regions and (Burkart et al, 2011)which to a certain extent can be considered as mid-to longterm influences of meteorological conditions. In addition to atmospheric effects, the seasonal pattern of mortality is shaped by non-atmospheric determinants such as environmental conditions or socioeconomic status.…”

Section: Discussionmentioning

confidence: 99%

“…Surprisingly, countries with mild winters face higher excess winter mortality than those with harsh weather conditions (Eurowinter Group, 1997). It is acknowledged that in these countries there is a better adaptation to cold, both physiological and social (Hajat et al, 2007); people living in colder climates are less vulnerable to cold, they wear warmer clothes and know how to protect themselves better (Burkart et al, 2011)which to a certain extent can be considered as mid-to long-term influences of meteorological conditions. In addition to atmospheric effects, the seasonal pattern of mortality is shaped by non-atmospheric determinants such as environmental conditions or socioeconomic status.…”

Section: Discussionmentioning

confidence: 99%

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Seasonal mortality patterns and regional contrasts in Portugal

Almendra

Santana

Freire

et al. 2016

Bulletin of Geography. Socio-Economic Series

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Abstract. The main aim of this study is to identify the geographical seasonal mortality patterns in Portugal and, for the first time, to assess the relationship between seasonal and overall mortality. Monthly data from the Portuguese mortality database (2000-2009) by major cause of death were analysed and standardized to 30 days with adjustments for leap years. The chi-square goodness-of-fit test was used to compare the observed monthly deaths with deaths that could be expected if mortality were randomly distributed throughout the year. The seasonal burden was measured using the excess winter deaths (EWD) rate and the seasonal impact of winter on mortality was assessed through the EWD Index. The regions were clustered according to the overall mortality rate and the seasonal impact: 1-low seasonality and high values of overall mortality; 2-high seasonality and high values of overall mortality; 3-low values of seasonality and low overall mortality; 4-high seasonality and low overall mortality. Significant seasonal mortality increases were found in all causes of death. There were 86,000 EWDs, mostly through circulatory and respiratory diseases. 73% of the population lives in regions with high winter vulnerability to respiratory mortality and 60% in regions with high winter vulnerability to circulatory mortality. This study reinforces the idea that vulnerability to cold weather may play an important role in the public health in Portugal. This knowledge may be used to construct a set of regulations or policies designed to implement better health planning procedures and more effective warning systems.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Seasonal mortality patterns and regional contrasts in Portugal

Almendra

Santana

Freire

et al. 2016

Bulletin of Geography. Socio-Economic Series

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“…Although the temperatures in Nairobi are not fully comparable to those in the studies above, a parallel can be drawn in the increased mortality observed during cold days. Studies of temperature-related mortality in Bangladesh observed an increase in all-cause deaths at low temperatures and no clear heat effects in both rural and urban areas (24, 25). …”

Section: Discussionmentioning

confidence: 99%

Time-series analysis of weather and mortality patterns in Nairobi's informal settlements

Egondi

Kyobutungi

Kovats

et al. 2012

Global Health Action

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BackgroundMany studies have established a link between weather (primarily temperature) and daily mortality in developed countries. However, little is known about this relationship in urban populations in sub-Saharan Africa.ObjectivesThe objective of this study was to describe the relationship between daily weather and mortality in Nairobi, Kenya, and to evaluate this relationship with regard to cause of death, age, and sex.MethodsWe utilized mortality data from the Nairobi Urban Health and Demographic Surveillance System and applied time-series models to study the relationship between daily weather and mortality for a population of approximately 60,000 during the period 2003–2008. We used a distributed lag approach to model the delayed effect of weather on mortality, stratified by cause of death, age, and sex.ResultsIncreasing temperatures (above 75th percentile) were significantly associated with mortality in children and non-communicable disease (NCD) deaths. We found all-cause mortality of shorter lag of same day and previous day to increase by 3.0% for a 1 degree decrease from the 25th percentile of 18°C (not statistically significant). Mortality among people aged 50+ and children aged below 5 years appeared most susceptible to cold compared to other age groups. Rainfall, in the lag period of 0–29 days, increased all-cause mortality in general, but was found strongest related to mortality among females. Low temperatures were associated with deaths due to acute infections, whereas rainfall was associated with all-cause pneumonia and NCD deaths.ConclusionsIncreases in mortality were associated with both hot and cold weather as well as rainfall in Nairobi, but the relationship differed with regard to age, sex, and cause of death. Our findings indicate that weather-related mortality is a public health concern for the population in the informal settlements of Nairobi, Kenya, especially if current trends in climate change continue.

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“…Вместе с тем, сравнивая данные по сельским и городским популя-циям, установили, что предопределяют роль образа жизни и характера трудовой деятельности в причинах или модификации годовых ритмов популяционных показателей и их изменчивости под влиянием средовых и сезонных факторов [8]. При анализе возможных при-чин, объясняющих повышение смертности в зимние месяцы, выделили социально-экономические парамет-ры, жилищные и поведенческие факторы [9,10].…”

Section: актуальностьunclassified

Monthly All-Cause and Cardiovascular Mortality as an Indicator of the Process of Healthcare in Rural Settlements in Various Districts of Tatarstan Republic

Камалова

Нигматуллина

2018

Cardiovasc Ther Prev

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Aim. To reveal the specifics of monthly dynamics of the all-cause and cardiovascular mortality, depending on gender and on the administrative district settlement (ADS).Material and methods. The lethal cases assessed, by the state registries, in three ADS, different by social and economical levels, abilities of medical institutions and life style of the rural inhabitants in the years 2000-2002 and 2009-2011. The methods that were applied: statistical, sociological, analytic, comparative.Results. Within a 10-year period, mean annual mortality from all causes in ADS1 decreased 21,0%, in ADS2 increased 0,2%, in ADS3 increased 5,4%. It is important to note the statistical significance (p<0,05) of the differences in mean annual mortality from all causes in men and women in ADS2 during the first, and in ADS3 during both periods of the study. With the similarity of monthly all-cause mortality in rural settlements, there is differentiation by sex and ADS. Excessive mortality increased the mortality to 4,0 promille. Economical disadvantage from premature mortality was minimal in ADS1 at the background of comparably maximal mean person gross territory product and most healthy rural inhabitants.Conclusion. Significant differences in mortality of rural inhabitants are proved by gender and administrative district type of settlements; economical disadvantages are associated with social and economic level of the territory development, life style of the rural inhabitants, and in dynamics there is similarity and difference in monthly parameters of rural inhabitants mortality makes it plausible to regard them as in indicator of the healthcare processes in rural settlements.

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Seasonal variations of all-cause and cause-specific mortality by age, gender, and socioeconomic condition in urban and rural areas of Bangladesh

Cited by 46 publications

References 34 publications

Seasonal mortality patterns and regional contrasts in Portugal

Seasonal mortality patterns and regional contrasts in Portugal

Time-series analysis of weather and mortality patterns in Nairobi's informal settlements

Monthly All-Cause and Cardiovascular Mortality as an Indicator of the Process of Healthcare in Rural Settlements in Various Districts of Tatarstan Republic

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