The Impact of Suicide on Life Expectancy

Crisis ◽  
2020 ◽  
pp. 1-7 ◽  
Author(s):  
Paul S. F. Yip ◽  
Yan Zheng
Keyword(s):  
Hong Kong ◽  
Life Expectancy ◽  
Population Level ◽  
Individual Level ◽  
Effective Strategies ◽  
Suicide Intervention ◽  
Suicide Rates ◽  
And Gender ◽  
The Individual ◽  
The Impact

Abstract. Background: In Hong Kong, there have been significant changes in suicide rates during the period 1996–2015. Aim: We aimed to assess the impact of change in suicide rates on life expectancy in Hong Kong. Method: A decomposition method was used to quantify the impact of suicide on life expectancy in Hong Kong. Results: During 1996–2003, the increase in total suicide rate made negative contributions to the increase in life expectancy in Hong Kong (−0.15 years), with incidence component and age component accounting for −0.17 years and 0.02 years, respectively. However, during 2003–2015, the decrease in the number of suicide deaths contributed to the life expectancy by 0.16 years, with the incidence component still playing a predominant role. Furthermore, the contribution mechanism of suicide varied across suicide methods and gender. Limitations: Apart from suicide, the change in life expectancy could be affected by various factors, which needs to be considered. Moreover, conclusions of the study were made at the population level rather than the individual level. Conclusion: Suicide has a non-negligible impact on life expectancy in Hong Kong. Understanding the contribution pattern of suicide and sustaining effective strategies for suicide intervention would contribute positively to improvements in Hong Kong life expectancy.

scholarly journals Analyzing 24-Hour Blood Pressure Measurements with a Novel Cuffless Pulse Transit Time Device in Clinical Practice—Does the Software for Heartbeat Detection Matter?

Diagnostics ◽  
2020 ◽  
Vol 10 (6) ◽  
pp. 361
Author(s):  
Leo Kilian ◽  
Philipp Krisai ◽  
Thenral Socrates ◽  
Christian Arranto ◽  
Otmar Pfister ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Transit Time ◽  
Pulse Transit Time ◽  
Population Level ◽  
Raw Data ◽  
Invasive Blood Pressure ◽  
Individual Level ◽  
Non Invasive ◽  
The Individual ◽  
The Impact

Background: The Somnotouch-Non-Invasive-Blood-Pressure (NIBP) device delivers raw data consisting of electrocardiography and photoplethysmography for estimating blood pressure (BP) over 24 h using pulse-transit-time. The study’s aim was to analyze the impact on 24-hour BP results when processing raw data by two different software solutions delivered with the device. Methods: We used data from 234 participants. The Somnotouch-NIBP measurements were analyzed using the Domino-light and Schiller software and compared. BP values differing >5 mmHg were regarded as relevant and explored for their impact on BP classification (normotension vs. hypertension). Results: Mean (±standard deviation) absolute systolic/diastolic differences for 24-hour mean BP were 1.5 (±1.7)/1.1 (±1.3) mm Hg. Besides awake systolic BP (p = 0.022), there were no statistically significant differences in systolic/diastolic 24-hour mean, awake, and asleep BP. Twenty four-hour mean BP agreement (number (%)) between the software solutions within 5, 10, and 15 mmHg were 222 (94.8%), 231 (98.7%), 234 (100%) for systolic and 228 (97.4%), 232 (99.1%), 233 (99.5%) for diastolic measurements, respectively. A BP difference of >5 mmHg was present in 24 (10.3%) participants leading to discordant classification in 4–17%. Conclusion: By comparing the two software solutions, differences in BP are negligible at the population level. However, at the individual level there are, in a minority of cases, differences that lead to different BP classifications, which can influence the therapeutic decision.

scholarly journals The Normative Underpinnings of Population-Level Alcohol Use: An Individual-Level Simulation Model

2020 ◽  
Vol 47 (2) ◽  
pp. 224-234
Author(s):  
Charlotte Probst ◽  
Tuong Manh Vu ◽  
Joshua M. Epstein ◽  
Alexandra E. Nielsen ◽  
Charlotte Buckley ◽  
...  
Keyword(s):  
Alcohol Use ◽  
Social Norms ◽  
Drinking Behavior ◽  
Population Level ◽  
Drinking Patterns ◽  
Individual Level ◽  
Behavioral Rules ◽  
Level Model ◽  
The Individual ◽  
The Impact

Background. By defining what is “normal,” appropriate, expected, and unacceptable, social norms shape human behavior. However, the individual-level mechanisms through which social norms impact population-level trends in health-relevant behaviors are not well understood. Aims. To test the ability of social norms mechanisms to predict changes in population-level drinking patterns. Method. An individual-level model was developed to simulate dynamic normative mechanisms and behavioral rules underlying drinking behavior over time. The model encompassed descriptive and injunctive drinking norms and their impact on frequency and quantity of alcohol use. A microsynthesis initialized in 1979 was used as a demographically representative synthetic U.S. population. Three experiments were performed in order to test the modelled normative mechanisms. Results. Overall, the experiments showed limited influence of normative interventions on population-level alcohol use. An increase in the desire to drink led to the most meaningful changes in the population’s drinking behavior. The findings of the experiments underline the importance of autonomy, that is, the degree to which an individual is susceptible to normative influence. Conclusion. The model was able to predict theoretically plausible changes in drinking patterns at the population level through the impact of social mechanisms. Future applications of the model could be used to plan norms interventions pertaining to alcohol use as well as other health behaviors.

scholarly journals Estimation of losses of quality-adjusted life expectancy attributed to the combination of cognitive impairment and multimorbidity among Chinese adults aged 45 years and older

2020 ◽  
Author(s):  
Suting Xiong ◽  
Siyuan Liu ◽  
Yanan Qiao ◽  
Dingliu He ◽  
Yuxia Zhang ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Life Expectancy ◽  
Population Level ◽  
Health Utility ◽  
Middle Aged ◽  
Individual Level ◽  
Elderly Chinese ◽  
The Individual ◽  
Additional Losses ◽  
Quality Adjusted Life

Abstract Objectives: This study aims to estimate the losses of quality-adjusted life expectancy (QALE) due to the joint effect of cognitive impairment and multimorbidity, and further to confirm additional losses attributable to their interaction among the middle-aged and elderly Chinese. Methods: The National Cause of Death Monitoring Data were linked with the China Health and Retirement Longitudinal Study (CHARLS). A mapping and assigning method was used to estimate health utility values, which were further used to calculate QALE. Losses of QALE were measured by comparing the differences between subgroups. And all the losses of QALE were displayed at two levels: the individual and the population level.Results: At age 45, the individual-level and population-level losses of QALE (95% CI) attributed to the combination of cognitive impairment and multimorbidity were 7.606 (5.679, 9.566) years and 4.297 (3.425, 5.200) years. The losses (95% CI) for cognitive impairment alone were 3.104 (2.287, 3.954) years and 1.709 (1.318, 2.132) years at two levels. Similarly, the losses (95% CI) for multimorbidity alone were 3.526 (2.528, 4.556) years and 1.914 (1.235, 2.625) years at two levels. Additional losses due to their interaction were indicated by the 0.976 years of the individual-level gap and 0.674 years of the population-level gap. Conclusion: Among the middle-aged and elderly Chinese, cognitive impairment and multimorbidity resulted in much losses of QALE, and additional QALE losses were seen due to their interaction at both individual and population levels.

scholarly journals On the Apportionment of Archaic Human Diversity

2021 ◽  
Author(s):  
Fernando A Villanea ◽  
Kelsey E Witt ◽  
Elle Loughran ◽  
Emilia A Huerta-Sanchez
Keyword(s):  
South Asians ◽  
Demographic History ◽  
Population Level ◽  
Modern Human ◽  
East Asians ◽  
Individual Level ◽  
Archaic Admixture ◽  
Human Relatedness ◽  
The Individual ◽  
The Impact

The apportionment of human genetic diversity within and between populations has been measured to understand human relatedness and demographic history. Likewise, the distribution of archaic ancestry in modern populations can be leveraged to better understand the interaction between our species and its archaic relatives, and the impact of natural selection on archaic segments of the human genome. Resolving these interactions can be difficult, as archaic variants in modern populations have also been shaped by genetic drift, bottlenecks, and gene flow. Here, we investigate the apportionment of archaic variation in Eurasian populations. We find that archaic genome coverage at the individual- and population-level present unique patterns in modern human population: South Asians have an elevated count of population-unique archaic SNPs, and Europeans and East Asians have a higher degree of archaic SNP sharing, indicating that population demography and archaic admixture events had distinct effects in these populations. We confirm previous observations that East Asians have more Neanderthal ancestry than Europeans at an individual level, but surprisingly Europeans have more Neandertal ancestry at a population level. In comparing these results to our simulated models, we conclude that these patterns likely reflect a complex series of interactions between modern humans and archaic populations.

scholarly journals African Gene Flow Reduces Beta-Ionone Anosmia/Hyposmia Prevalence in Admixed Malagasy Populations

2021 ◽  
Vol 11 (11) ◽  
pp. 1405
Author(s):  
Harilanto Razafindrazaka ◽  
Veronica Pereda-Loth ◽  
Camille Ferdenzi ◽  
Margit Heiske ◽  
Omar Alva ◽  
...  
Keyword(s):  
Gene Flow ◽  
African Ancestry ◽  
Sensory Perception ◽  
Population Level ◽  
P Value ◽  
Individual Level ◽  
Specific Anosmia ◽  
Odorant Molecule ◽  
The Individual ◽  
The Impact

While recent advances in genetics make it possible to follow the genetic exchanges between populations and their phenotypic consequences, the impact of the genetic exchanges on the sensory perception of populations has yet to be explored. From this perspective, the present study investigated the consequences of African gene flow on odor perception in a Malagasy population with a predominantly East Asian genetic background. To this end, we combined psychophysical tests with genotype data of 235 individuals who were asked to smell the odorant molecule beta-ionone (βI). Results showed that in this population the ancestry of the OR5A1 gene significantly influences the ability to detect βI. At the individual level, African ancestry significantly protects against specific anosmia/hyposmia due to the higher frequency of the functional gene (OR ratios = 14, CI: 1.8–110, p-value = 0.012). At the population level, African introgression decreased the prevalence of specific anosmia/hyposmia to this odorous compound. Taken together, these findings validate the conjecture that in addition to cultural exchanges, genetic transfer may also influence the sensory perception of the population in contact.

scholarly journals Estimation of losses of quality-adjusted life expectancy attributed to the combination of cognitive impairment and multimorbidity among Chinese adults aged 45 years and older

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Suting Xiong ◽  
Siyuan Liu ◽  
Yanan Qiao ◽  
Dingliu He ◽  
Chaofu Ke ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Life Expectancy ◽  
Population Level ◽  
Chinese People ◽  
Middle Aged ◽  
Individual Level ◽  
Elderly Chinese ◽  
The Individual ◽  
Additional Losses ◽  
Quality Adjusted Life

Abstract Objectives This study aims to estimate the losses of quality-adjusted life expectancy (QALE) due to the joint effects of cognitive impairment and multimorbidity, and to further confirm additional losses attributable to this interaction among middle-aged and elderly Chinese people. Methods The National Cause of Death Monitoring Data were linked with the China Health and Retirement Longitudinal Study (CHARLS). A mapping and assignment method was used to estimate health utility values, which were further used to calculate QALE. Losses of QALE were measured by comparing the differences between subgroups. All the losses of QALE were displayed at two levels: the individual and population levels. Results At age 45, the individual-level and population-level losses of QALE attributed to the combination of cognitive impairment and multimorbidity were 7.61 (95% CI: 5.68, 9.57) years and 4.30 (95% CI: 3.43, 5.20) years, respectively. The losses for cognitive impairment alone were 3.10 (95% CI: 2.29, 3.95) years and 1.71 (95% CI: 1.32, 2.13) years at the two levels. Similarly, the losses for multimorbidity alone were 3.53 (95% CI: 2.53, 4.56) years and 1.91 (95% CI: 1.24, 2.63) years at the two levels. Additional losses due to the interaction of cognitive impairment and multimorbidity were indicated by the 0.98 years of the individual-level gap and 0.67 years of the population-level gap. Conclusion Among middle-aged and elderly Chinese people, cognitive impairment and multimorbidity resulted in substantial losses of QALE, and additional QALE losses were seen due to their interaction at both individual and population levels.

scholarly journals Modelling the performance of isoniazid preventive therapy for reducing tuberculosis in HIV endemic settings: the effects of network structure

2011 ◽  
Vol 8 (63) ◽  
pp. 1510-1520 ◽  
Author(s):  
H. L. Mills ◽  
T. Cohen ◽  
C. Colijn
Keyword(s):  
Network Structure ◽  
Disease Transmission ◽  
Population Level ◽  
Preventive Therapy ◽  
Isoniazid Preventive Therapy ◽  
World Health ◽  
Individual Level ◽  
Health Organization ◽  
The Individual ◽  
The Impact

Individuals living with HIV experience a much higher risk of progression from latent M. tuberculosis infection to active tuberculosis (TB) disease relative to individuals with intact immune systems. A several-month daily course of a single drug during latent infection (i.e. isoniazid preventive therapy (IPT)) has proved in clinical trials to substantially reduce an HIV-infected individual's risk of TB disease. As a result of these findings and ongoing studies, the World Health Organization has produced strong guidelines for implementing IPT on a community-wide scale for individuals with HIV at risk of TB disease. To date, there has been limited use of IPT at a community-wide level. In this paper, we present a new co-network model for HIV and TB co-epidemics to address questions about how the population-level impact of community-wide IPT may differ from the individual-level impact of IPT offered to selected individuals. In particular, we examine how the effect of clustering of contacts within high-TB incidence communities may affect the rates of re-infection with TB and how this clustering modifies the expected population-level effects of IPT. We find that populations with clustering of respiratory contacts experience aggregation of TB cases and high numbers of re-infection events. While, encouragingly, the overall population-level effects of community-wide IPT appear to be sustained regardless of network structure, we find that in populations where these contacts are highly clustered, there is dramatic heterogeneity in the impact of IPT: in some sub-regions of these populations, TB is nearly eliminated, while in others, repeated re-infection almost completely undermines the effect of IPT. Our findings imply that as IPT programmes are brought to scale, we should expect local heterogeneity of effectiveness as a result of the complex patterns of disease transmission within communities.

scholarly journals A new perspective for mitigation of SARS-CoV-2 infection: priming the innate immune system for viral attack

Open Biology ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. 200138
Author(s):  
Oren Kolodny ◽  
Michael Berger ◽  
Marcus W. Feldman ◽  
Yoav Ram
Keyword(s):  
Immune Response ◽  
Immune System ◽  
Innate Immune System ◽  
Population Level ◽  
Innate Immune ◽  
Infectious Period ◽  
Individual Level ◽  
New Perspective ◽  
The Individual ◽  
The Impact

The course of infection by SARS-CoV-2 frequently includes a long asymptomatic period, followed in some individuals by an immune dysregulation period that may lead to complications and immunopathology-induced death. This course of disease suggests that the virus often evades detection by the innate immune system. We suggest a novel therapeutic approach to mitigate the infection's severity, probability of complications and duration. We propose that priming an individual's innate immune system for viral attack shortly before it is expected to occur may allow pre-activation of the preferable trajectory of immune response, leading to early detection of the virus. Priming can be carried out, for example, by administering a standard vaccine or another reagent that elicits a broad anti-viral innate immune response. By the time that the expected SARS-CoV-2 infection occurs, activation cascades will have been put in motion and levels of immune factors needed to combat the infection will have been elevated. The infection would thus be cleared faster and with less complication than otherwise, alleviating adverse clinical outcomes at the individual level. Moreover, priming may also mitigate population-level risk by reducing need for hospitalizations and decreasing the infectious period of individuals, thus slowing the spread and reducing the impact of the epidemic. In view of the latter consideration, our proposal may have a significant epidemiological impact even if applied primarily to low-risk individuals, such as young adults, who often show mild symptoms or none, by shortening the period during which they unknowingly infect others. The proposed view is, at this time, an unproven hypothesis. Although supported by robust bio-medical reasoning and multiple lines of evidence, carefully designed clinical trials are necessary.

scholarly journals Exploring the impact of lesser-known social dynamics on wolf populations through an individual-based approach

2020 ◽  
Author(s):  
Sarah Bauduin ◽  
Oksana Grente ◽  
Nina Luisa Santostasi ◽  
Paolo Ciucci ◽  
Christophe Duchamp ◽  
...  
Keyword(s):  
Life Cycle ◽  
Social Dynamics ◽  
Population Level ◽  
Field Investigation ◽  
Adoption Process ◽  
Individual Level ◽  
Social Species ◽  
The Individual ◽  
The Impact ◽  
Management And Conservation

AbstractThe occurrence of wolf populations in human-dominated landscapes is challenging worldwide because of conflicts with human activities. Modeling is an important tool to predict wolf dynamics and expansion, and help in decision making concerning management and conservation. However, some individual behaviors and pack dynamics of the wolf life cycle are still unclear to ecologists. Here we present an individual-based model (IBM) to project wolf populations while exploring the lesser-known processes of the wolf life cycle. IBMs are bottom-up models that simulate the fate of individuals interacting with each other, with population-level properties emerging from the individual-level simulations. IBMs are particularly adapted to represent social species such as the wolf that exhibits complex individual interactions. Our IBM predicts wolf demography including fine-scale individual behavior and pack dynamics based on up-to-date scientific literature. We explore four processes of the wolf life cycle whose consequences on population dynamics are still poorly understood: the pack dissolution following the loss of a breeder, the adoption of young dispersers by packs, the establishment of new packs through budding, and the different types of breeder replacement. While running different versions of the IBM to explore these processes, we also illustrate the modularity and flexibility of our model, an asset to model wolf populations experiencing different ecological and demographic conditions. The different parameterization of pack dissolution, territory establishment by budding, and breeder replacement processes influence the most the projections of wolf populations. As such, these processes require further field investigation to be better understood. The adoption process has a lesser impact on model predictions. Being coded in R to facilitate its understanding, we expect that our model will be used and further adapted by ecologists for their own specific applications.

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