health indicators
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2022 ◽  
Vol 5 (1) ◽  
pp. 7
Pauliina Husu ◽  
Henri Vähä-Ypyä ◽  
Kari Tokola ◽  
Harri Sievänen ◽  
Ari Mänttäri ◽  

Background: Population studies gathering measured data on fitness and physical behavior, covering physical activity, standing, sedentary behavior, and time in bed, are scarce. This article describes the protocol of the FINFIT 2021 study that measures fitness and physical behavior in a population-based sample of adults and analyzes their associations and dose–response relationships with several health indicators. Methods: The study comprises a stratified random sample of 20–69-year-old men and women (n = 16,500) from seven city-centered regions in Finland. Physical behavior is measured 24/7 by tri-axial accelerometry and analyzed with validated MAD-APE algorithms. Health and fitness examinations include fasting blood samples, measurements of blood pressure, anthropometry, and health-related fitness. Domains of health, functioning, well-being, and socio-demographics are assessed by a questionnaire. The data are being collected between September 2021 and February 2022. Discussion: The study provides population data on physical fitness and physical behavior 24/7. Physical behavior patterns by intensity and duration on an hour-by-hour basis will be provided. In the future, the baseline data will be assessed against prospective register-based data on incident diseases, healthcare utilization, sickness absence, premature retirement, and death. A similar study will be conducted every fourth year with a new random population sample.

2022 ◽  
Vol 43 (1) ◽  
Julianne Holt-Lunstad

There is growing interest in and renewed support for prioritizing social factors in public health both in the USA and globally. While there are multiple widely recognized social determinants of health, indicators of social connectedness (e.g., social capital, social support, social isolation, loneliness) are often noticeably absent from the discourse. This article provides an organizing framework for conceptualizing social connection and summarizes the cumulative evidence supporting its relevance for health, including epidemiological associations, pathways, and biological mechanisms. This evidence points to several implications for prioritizing social connection within solutions across sectors, where public health work, initiatives, and research play a key role in addressing gaps. Therefore, this review proposes a systemic framework for cross-sector action to identify missed opportunities and guide future investigation, intervention, practice, and policy on promoting social connection and health for all. Expected final online publication date for the Annual Review of Public Health, Volume 43 is April 2022. Please see for revised estimates.


National Family Health Survey-5 (NFHS-5) fieldwork for India was conducted in two phases, during the years between 2019 and 2021 by 17 Field Agencies and gathered information from 636,699 households, 724,115 women, and 101,839 men. Information was gathered from 27,929 households, 25,650 women, and 3,372 men from Tamil Nadu and in Thanjavur from 826 households, 687 women, and 83 men. This research paper points out the health indicators in which Thanjavur District improved over the earlier NFHS and over the State as well as Country level averages in the NFHS-5. As per The NFHS -4 the sex ratio has raised marginally to 1053 and in the NFHS-5, sharply raised to 1112. The sex ratio of the country is also remarkably high crossing 1000 mark, first time in the Indian statistical history in the NFHS-5. NFHS-5 reveals positive note that the child sex ratio restoration back to 934. It reflects the changing mindset proliferating in the district towards the female. Amidst the negative mindset towards upbringing girl children in the state of Tamil Nadu, revealed by the reduced child sex ratio of 878 in NFHS -5 from 954 in NFHS-4 in Tamil Nadu a sharp positive increase in the child sex ratio in Thanjavur is fair enough to the fair sex. On the other hand, the reason for the reduction in the child sex ratio in the rest of the state of Tamil Nadu needs an immediate attention comparing the previous NFHS. It is also to be noted here that even the country level child sex ratio also is in increasing trend as per the present NFHS comparing its earlier survey. KEYWORDS: National Family Health survey, Government sponsored health insurance schemes, health insurance, Sex ratio, child sex ratio, AB-PMJAY.

2022 ◽  
Vol 2022 ◽  
pp. 1-9
Xin Li

All enterprises gradually recognise the importance of employees’ healthy psychology to business activities in order to improve their own economic level and occupy a certain leading position in the economic market. The main factors affecting employees’ psychological health are used as input samples in this paper, and a network model of enterprise employees’ psychological health prediction based on DNN is developed. To form a specific set, the psychological health indicators are separated from the complex test items. The key influencing factors in psychological health assessment are chosen as input vectors, and the DNN algorithm’s output results are obtained, analysed, and compared. Following sample training, the artificial NN’s error between predicted and measured values is only 3.55 percent, achieving the desired effect. The DNN principle is used in this paper to create a mathematical prediction network model based on an analysis of psychological factors affecting employees in businesses. The calculation of the final result of the prediction system is simple and flexible when the parameters of the NN are changed, and the network model’s prediction efficiency and accuracy are greatly improved.

2022 ◽  
Vol 22 (1) ◽  
Michelle T. Pedersen ◽  
Thea O. Andersen ◽  
Amy Clotworthy ◽  
Andreas K. Jensen ◽  
Katrine Strandberg-Larsen ◽  

Abstract Background The COVID-19 pandemic and its associated national lockdowns have been linked to deteriorations in mental health worldwide. A number of studies analysed changes in mental health indicators during the pandemic; however, these studies generally had a small number of timepoints, and focused on the initial months of the pandemic. Furthermore, most studies followed-up the same individuals, resulting in significant loss to follow-up and biased estimates of mental health and its change. Here we report on time trends in key mental health indicators amongst Danish adults over the course of the pandemic (March 2020 - July 2021) focusing on subgroups defined by gender, age, and self-reported previously diagnosed chronic and/or mental illness. Methods We used time-series data collected by Epinion (N=8,261) with 43 timepoints between 20 March 2020 and 22 July 2021. Using a repeated cross-sectional study design, independent sets of individuals were asked to respond to the Copenhagen Corona-Related Mental Health questionnaire at each timepoint, and data was weighted to population proportions. The six mental health indicators examined were loneliness, anxiety, social isolation, quality of life, COVID-19-related worries, and the mental health scale. Gender, age, and the presence of previously diagnosed mental and/or chronic illness were used to stratify the population into subgroups for comparisons. Results Poorer mental health were observed during the strictest phases of the lockdowns, whereas better outcomes occurred during reopening phases. Women, young individuals (<34 yrs), and those with a mental- and/or chronic illness demonstrated poorer mean time-series than others. Those with a pre-existing mental illness further had a less reactive mental health time-series. The greatest differences between women/men and younger/older age groups were observed during the second lockdown. Conclusions People with mental illness have reported disadvantageous but stable levels of mental health indicators during the pandemic thus far, and they seem to be less affected by the factors that result in fluctuating time-series in other subgroups.

2022 ◽  
Vol 13 (1) ◽  
pp. 52-56
Guilherme Ribeiro Ferreira ◽  
Anna Luiza Rodrigues Brito ◽  
Isabela dos Santos Rodolfo ◽  
Rafaela Spolador Orbolato

Leprosy is a chronic, infectious disease transmitted through the inhalation of aerosols containing Mycobacterium leprae. The present study was carried out to investigate the epidemiological profile of leprosy in Brazil between 2015 and 2019, evaluating the prevalence rate of hospital admissions, incidence rate, number of admissions due to recurrence and mortality rates. It is an ecological study conducted from data collected in information systems available at the Departamento de Informática do Sistema Único de Saúde (DATASUS). In the considered time interval, a slight improvement in the investigated health indicators was evidenced. It is possible to infer that the country carried out an adequate management of leprosy between 2015 and 2019, probably because of good prophylactic actions, good interventions and efficient awareness of those infected.

2022 ◽  
Vol 80 (1) ◽  
Romana Haneef ◽  
Mariken Tijhuis ◽  
Rodolphe Thiébaut ◽  
Ondřej Májek ◽  
Ivan Pristaš ◽  

Abstract Background The capacity to use data linkage and artificial intelligence to estimate and predict health indicators varies across European countries. However, the estimation of health indicators from linked administrative data is challenging due to several reasons such as variability in data sources and data collection methods resulting in reduced interoperability at various levels and timeliness, availability of a large number of variables, lack of skills and capacity to link and analyze big data. The main objective of this study is to develop the methodological guidelines calculating population-based health indicators to guide European countries using linked data and/or machine learning (ML) techniques with new methods. Method We have performed the following step-wise approach systematically to develop the methodological guidelines: i. Scientific literature review, ii. Identification of inspiring examples from European countries, and iii. Developing the checklist of guidelines contents. Results We have developed the methodological guidelines, which provide a systematic approach for studies using linked data and/or ML-techniques to produce population-based health indicators. These guidelines include a detailed checklist of the following items: rationale and objective of the study (i.e., research question), study design, linked data sources, study population/sample size, study outcomes, data preparation, data analysis (i.e., statistical techniques, sensitivity analysis and potential issues during data analysis) and study limitations. Conclusions This is the first study to develop the methodological guidelines for studies focused on population health using linked data and/or machine learning techniques. These guidelines would support researchers to adopt and develop a systematic approach for high-quality research methods. There is a need for high-quality research methodologies using more linked data and ML-techniques to develop a structured cross-disciplinary approach for improving the population health information and thereby the population health.

2022 ◽  
Esmaeel Saemi ◽  
Hadi Nobari ◽  
Georgian Badicu ◽  
Habibollah Ghazizadeh ◽  
Ali Pashabadi ◽  

Abstract BackgroundThe aim of this study was to investigate the impact of the COVID-19 pandemic restrictions on physical activity behaviours, as well as on mental health indicators among Iranian residents. MethodsIn this cross-sectional study, 335 participants were included (155 males, mean age = 30.06 ± 14.58 years). The eligibility criteria for this study were as follows; 1- Having at least 10 years of age. 2- Having a minimum literacy rate 3- Ability to work with networks of smart communication devices such as smartphones and computers 4- Living in Iran for the past 5 years. Participants were selected through the convenience sampling and filled out an online questionnaire measuring physical activity behaviours (The International Physical Activity Questionnaire; IPAQ; Short Form) and two mental health indicators – self-esteem (Rosenberg self-esteem scale) and social physical anxiety (7-items social physique anxiety scale). ResultsThe results of Wilcoxon test showed that participants reported significant differences from before to during the pandemic in all three variables of physical activity (significant decreases), self-esteem (significant decreases), and social physical anxiety (significant increases). This difference was found, regardless of participants’ gender. The results of Spearman correlation test between changes in physical activity and changes in mental health indicators showed that COVID-19 pandemic negatively impacted self-esteem and social physical anxiety. However, we have not found any significant association of physical activity’s change with social physical anxiety or self-esteem’s changes before and during the pandemic. ConclusionsIn sum, the findings of the present study indicate a detrimental effect of the COVID-19 pandemic on the physical activity and mental health among Iranian’s residents. Public policies aiming to buffer the negative impact on COVID-19 Iranians’ health are urgently needed.

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