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Health Factors

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lightbulbAbout this topic
Health factors refer to the various biological, behavioral, environmental, and social determinants that influence an individual's health status and outcomes. These factors encompass genetics, lifestyle choices, access to healthcare, socioeconomic conditions, and community resources, all of which interact to affect overall well-being and the prevalence of diseases.
lightbulbAbout this topic
Health factors refer to the various biological, behavioral, environmental, and social determinants that influence an individual's health status and outcomes. These factors encompass genetics, lifestyle choices, access to healthcare, socioeconomic conditions, and community resources, all of which interact to affect overall well-being and the prevalence of diseases.

Key research themes

1. How do social and behavioral determinants of health influence health outcomes and clinical practice feasibility?

This research area focuses on measuring and understanding social and behavioral determinants of health (SBDs) such as education, physical activity, smoking, and socioeconomic conditions. These determinants are recognized to have a greater impact on health outcomes than healthcare provision alone. Studies investigate the feasibility of integrating parsimonious panels of SBD measures into clinical settings, their interaction effects, and how social factors influence mortality and disease patterns. This theme is crucial for developing standardized screening tools and interventions that incorporate non-medical determinants into healthcare to improve health equity.

Key finding: Validated the feasibility of using a parsimonious panel of 25 self-reported SBD measures recommended by the Institute of Medicine, demonstrating that question order did not affect responses, and completion times were... Read more
Key finding: Documented a multi-sectorial community approach by a public health unit partnering with over 80 agencies to identify and address socioeconomic, behavioral, and healthcare access determinants associated with elevated mortality... Read more
Key finding: Described how social determinants such as income, education, social support, and political power structures create health inequities within and between populations. Emphasized that these determinants, shaped by systemic... Read more
Key finding: Outlined a multifactorial model of health determinants including social, physical, economic, environmental, lifestyle, and genetic factors. Emphasized that social determinants such as education, income, and living environment... Read more

2. What is the relationship between lifestyle factors and the development or prevention of chronic diseases and overall health?

This theme investigates how individual lifestyle choices—such as diet, physical activity, sleep patterns, sexual behavior, substance use, and medication adherence—affect the risk and progression of chronic diseases, including cardiovascular disease, metabolic disorders, and mental health conditions. Research focuses on identifying modifiable lifestyle determinants, quantifying their impact on health outcomes, and elucidating behavioral rhythms that influence disease risk. The actionable insights inform interventions aimed at reducing morbidity and mortality through lifestyle modifications.

Key finding: Synthesized evidence demonstrating that healthy diet, regular exercise, and sufficient sleep significantly reduce the risk and progression of chronic diseases such as metabolic-associated steatotic liver disease and... Read more
Key finding: Provided a comprehensive review of lifestyle factors including physical activity, sleep, sexual behavior, substance use, and medication misuse, demonstrating their direct influences on physical and mental health outcomes.... Read more
Key finding: Identified modifiable risk factors such as low physical activity and poor diet in Indian adolescents, with a statistically significant correlation between anthropometric measures and blood pressure. Noted higher prevalence of... Read more
Key finding: Reviewed biological and lifestyle contributors to ageing, including genetics, metabolism, oxidative stress, sleep, and dietary habits. Emphasized that modifiable lifestyle factors such as nutrition and physical activity play... Read more

3. How do specific biological, social, and personal factors combine to influence individual health and quality of life across populations?

This area explores the multifaceted and interrelated factors—biological, environmental, social, psychological, and personal motivation—that shape individual health status and quality of life. Research investigates how components like genetics, environmental exposures, social support, healthcare access, and personal lifestyle choices together determine health outcomes, particularly in vulnerable populations such as the elderly or occupational groups. Understanding these complex interactions informs comprehensive health promotion strategies and resource allocation.

Key finding: Found that one-third of the elderly had chronic conditions like musculoskeletal complaints, with poor quality of life significantly associated with presence of morbidities, pain, and lack of social support. Highlighted... Read more
Key finding: Demonstrated that workplace interpersonal factors, especially verbal insults from pupils, were the strongest predictors of mental health impairments such as burnout and stress among teachers. Positive social support from... Read more
Key finding: Presented a systems approach integrating biological, psychological, and social factors affecting chronic diseases and psychiatric disorders. Discussed how neuroendocrine mechanisms mediate stress responses influenced by... Read more
Key finding: Proposed a balanced model attributing approximately 25% influence each to environmental, biological, social, and personal (behavioral and motivational) factors in health formation. Highlighted that lifestyle, distinct from... Read more

All papers in Health Factors

This study aimed to compare complete blood cell parameters obtained using the automated XN-1000 analyzer with those obtained by manual methods at the Kenyatta National Hospital hematology laboratory. About 110 samples were obtained from... more
We evaluated the efficacy of white blood cell (WBC) differential counts in severely leukopenic samples by the Hematoflow method and by automated hematology analyzers and compared the results with manual counts. EDTA-anticoagulated blood... more
Despite a continual interest in developing information systems (IS) to support the work of top managers, assessing the impact of IS support for top managers and their capabilities on the bottom-line performance of firms has received... more
Aims: This study investigated the trends and levels of the prevalence of health factors, and the association of all-cause and cardiovascular (CVD) mortality with healthy levels of combined risk factors among Lithuanian urban population.... more
Sri Lanka is a habitat of diverse fruit varieties; nevertheless 95% of them are underutilized by people due to unawareness of their nutritional values and health aspects, and hence become ‘minor fruits’. This study was aimed on revealing... more
Aims: This study investigated the trends and levels of the prevalence of health factors, and the association of all-cause and cardiovascular (CVD) mortality with healthy levels of combined risk factors among Lithuanian urban population.... more
Children of parents with drug and alcohol use disorders often grow up under severe stress and are at greater risk of developing psychological and social problems. However, a substantial proportion of affected children adapt to their... more
Sri Lanka is a habitat of diverse fruit varieties; nevertheless 95% of them are underutilized by people due to unawareness of their nutritional values and health aspects, and hence become ‘minor fruits’. This study was aimed on revealing... more
This study aimed to compare complete blood cell parameters obtained using the automated XN-1000 analyzer with those obtained by manual methods at the Kenyatta National Hospital hematology laboratory. About 110 samples were obtained from... more
This study aimed to compare complete blood cell parameters obtained using the automated XN-1000 analyzer with those obtained by manual methods at the Kenyatta National Hospital hematology laboratory. About 110 samples were obtained from... more
Background: Clinical laboratory reference intervals are an important tool to identify abnormal laboratory test results. The generating of hematological parameters reference intervals for local population is very crucial to improve quality... more
Background: Clinical laboratory reference intervals are an important tool to identify abnormal laboratory test results. The generating of hematological parameters reference intervals for local population is very crucial to improve quality... more
Abstract Background: Clinical laboratory reference intervals are an important tool to identify abnormal laboratory test results. The generating of hematological parameters reference intervals for local population is very crucial to... more
This study aimed to compare complete blood cell parameters obtained using the automated XN-1000 analyzer with those obtained by manual methods at the Kenyatta National Hospital hematology laboratory. About 110 samples were obtained from... more
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