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Journal articles on the topic 'Multidimensional health'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Kulbok, Pamela A., Kimberly F. Carter, Joan H. Baldwin, Mattia J. Gilmartin, and Bessie Kirkwood. "The Multidimensional Health Behavior Inventory." Journal of Nursing Measurement 7, no. 2 (1999): 177–95. http://dx.doi.org/10.1891/1061-3749.7.2.177.

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Gaps in knowledge about what constitutes healthy and risky behaviors for young people hinder successful health promotion intervention strategies. With the development of appropriate instruments, behaviors can be measured and interventions can be implemented to improve health outcomes. The structure of a new health behavior instrument, the Multidimensional Health Behavior Inventory (MHBI), was explored with data from 1,077 college students, ages 18 to 24 years. Factor analysis of 116 health behavior questions yielded 7 factor-based scales with 57 items: diet (13 items), substance use (10 items)

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Shaw, Lynn, and Joyce MacKinnon. "A Multidimensional View of Health." Education for Health: Change in Learning & Practice 17, no. 2 (2004): 213–22. http://dx.doi.org/10.1080/13576280410001711030.

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Savarese, Giulia, Luna Carpinelli, Pierpaolo Cavallo, and Maria Prosperina Vitale. "Italian Psychometric Validation of the Multidimensional Students’ Health-Promoting Lifestyle Profile Scale." Health 10, no. 11 (2018): 1554–75. http://dx.doi.org/10.4236/health.2018.1011118.

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EACHUS, PETER. "MULTIDIMENSIONAL HEALTH LOCUS OF CONTROL OF HEALTH PROFESSIONALS." Psychological Reports 67, no. 7 (1990): 762. http://dx.doi.org/10.2466/pr0.67.7.762-762.

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Abdiwahab, Bukhari, Mesfin Menza, and Adam Mohamed. "Multidimensional Poverty and its Determinants in Somalia: A Household Level Analysis." International Journal of Developing Country Studies 6, no. 1 (2024): 36–57. http://dx.doi.org/10.47941/ijdcs.2108.

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Purpose: Poverty is widespread and problematic in least developed countries such as Somalia. The main objective of this study is to analyze the extent and determinants of multidimensional poverty in Somalia. Methodology: To achieve this objective, this study used the Somali Health and Demographic Survey carried out by the Somali National Statistics Bureau in 2020. Alkire and Foster’s methodology was used to measure the extent of multidimensional poverty, and an ordered logistic regression model was employed to identify its determinants at the household level. Findings: The results of the descr

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de Carvalho, Alcione S., Iva S. de Jesus, Patrícia G. Ferreira, et al. "Chemistry and Health: A Multidimensional Approach." Sustainable Chemistry 6, no. 1 (2025): 2. https://doi.org/10.3390/suschem6010002.

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This review explores both the positive and negative impacts of chemistry on society, focusing on the intersection between pharmaceutical, natural, and synthetic chemicals. On the one hand, drugs developed through medicinal chemistry have saved lives, improved people’s quality of life, and increased longevity. However, they also pose risks, including fatalities and environmental damage. Pharmaceutical chemistry has revolutionized medical practice by enabling the treatment and cure of fatal or debilitating diseases, significantly contributing to the rise in global life expectancy through the res

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LIU, XIAN, JERSEY LIANG, EDWARD JOW-CHING TU, and NANCY WHITELAW. "Modeling Multidimensional Transitions in Health Care." Sociological Methods & Research 25, no. 3 (1997): 284–317. http://dx.doi.org/10.1177/0049124197025003002.

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Buysse, D. J. "MULTIDIMENSIONAL SLEEP HEALTH: A CONCEPTUAL OVERVIEW." Innovation in Aging 2, suppl_1 (2018): 595. http://dx.doi.org/10.1093/geroni/igy023.2210.

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Tighe, Caitlan A., Ryan C. Brindle, Sarah T. Stahl, et al. "Multidimensional Sleep Health and Physical Functioning in Older Adults." Gerontology and Geriatric Medicine 7 (January 2021): 233372142110162. http://dx.doi.org/10.1177/23337214211016222.

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Objective: To examine the association between multidimensional sleep health and objective measures of physical functioning in older adults. Method: We conducted a secondary analysis of 158 adults ≥65 years who participated in Midlife in the United States (MIDUS) 2 and MIDUS Refresher studies. Physical functioning was assessed using gait speed during a 50-foot timed walk, lower extremity strength via chair stand test, and grip strength via hand-held dynamometers. Composite multidimensional sleep health scores were derived from 1 week of sleep diaries and wrist actigraphy. Results: Multiple line

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Dvalishvili, Darejan, Fred M. Ssewamala, Proscovia Nabunya, et al. "Impact of Family-Based Economic Empowerment Intervention, Suubi+Adherence (2012–2018) on Multidimensional Poverty for Adolescents Living with HIV (ALWHIV) in Uganda." International Journal of Environmental Research and Public Health 19, no. 21 (2022): 14326. http://dx.doi.org/10.3390/ijerph192114326.

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Children growing up in poverty are disproportionately affected by diseases, including HIV. In this study, we use data from Suubi+Adherence, a longitudinal randomized control trial (2012–2018) with 702 adolescents living with HIV (ALWHIV), to examine the effectiveness of a family-based multifaceted economic empowerment (EE) intervention in addressing economic instability and multidimensional poverty among ALWHIV in Southern Uganda. We constructed a Multidimensional Poverty Index of individual and household indicators, including health, assets, housing and family dynamics. We computed the propor

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Yulong, Gui. "Socio-historical multidimensional socio-economic standardization of health factors." OOO "Zhurnal "Voprosy Istorii" 2022, no. 7-2 (2022): 237–43. http://dx.doi.org/10.31166/voprosyistorii202207statyi42.

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Today, under the influence of multidimensional socio-economic factors, the health of the Russian population, in particular children and adolescents, has deteriorated significantly and is in critical condition. The results of scientific research indicate stable trends towards the deterioration of the health of schoolchildren: chronic diseases are diagnosed in 40-45% of children, and among relatively healthy two-thirds are students with various morphofunctional disorders. According to the Russian Ministry of Health, about 90% of schoolchildren have health problems. At the same time, it should be

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Liddle, Howard A. "Multidimensional Family Therapy." SUCHT 56, no. 1 (2010): 43–50. http://dx.doi.org/10.1024/0939-5911/a000011.

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Background: Multidimensional family therapy is the most researched family based intervention for adolescent substance abuse. Research and coverage: Funded continuously since 1985 in a series of controlled trials, process studies, economic analyses, and implementation studies, MDFT has achieved positive outcomes at post treatment and at various follow-up periods at one year and beyond when compared to a variety of active treatments, including cognitive behavior therapy, group counseling, multifamily groups, as well as in comparisons against services as usual. MDFT is a treatment system rather t

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Shantsila, Alena, Eduard Shantsila, and Gregory Y. H. Lip. "Hypertension and sleep health: a multidimensional puzzle." Journal of Hypertension 39, no. 4 (2021): 600–601. http://dx.doi.org/10.1097/hjh.0000000000002743.

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Kamel Boulos, M. N., and P. AbdelMalik. "Multidimensional Point Transform for Public Health Practice." Methods of Information in Medicine 51, no. 01 (2012): 63–73. http://dx.doi.org/10.3414/me11-01-0001.

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SummaryBackground: With increases in spatial information and enabling technologies, location-privacy concerns have been on the rise. A commonly proposed solution in public health involves random perturbation, however consideration for individual dimensions (at-tributes) has been weak.Objectives: The current study proposes a multidimensional point transform (MPT) that integrates the spatial dimension with other dimensions of interest to comprehensively anonymise data.Methods: The MPT relies on the availability of a base population, a subset patient dataset, and shared dimensions of interest. Pe

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Stratigi, Maria, Haridimos Kondylakis, and Kostas Stefanidis. "Multidimensional Group Recommendations in the Health Domain." Algorithms 13, no. 3 (2020): 54. http://dx.doi.org/10.3390/a13030054.

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Providing useful resources to patients is essential in achieving the vision of participatory medicine. However, the problem of identifying pertinent content for a group of patients is even more difficult than identifying information for just one. Nevertheless, studies suggest that the group dynamics-based principles of behavior change have a positive effect on the patients’ welfare. Along these lines, in this paper, we present a multidimensional recommendation model in the health domain using collaborative filtering. We propose a novel semantic similarity function between users, going beyond p

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Eachus, Peter. "Multidimensional health locus of control in nurses." Journal of Advanced Nursing 16, no. 2 (1991): 165–71. http://dx.doi.org/10.1111/j.1365-2648.1991.tb01620.x.

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Graetz, B. "Multidimensional properties of the General Health Questionnaire." Social Psychiatry and Psychiatric Epidemiology 26, no. 3 (1991): 132–38. http://dx.doi.org/10.1007/bf00782952.

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Greene, Carolyn A., and Karla Klein Murdock. "Multidimensional Control Beliefs, Socioeconomic Status, and Health." American Journal of Health Behavior 37, no. 2 (2013): 227–37. http://dx.doi.org/10.5993/ajhb.37.2.10.

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Piechota, Amanda, Jack Cassell, Francisco Marquez, Andrea Decker, Emily Halvorson, and Matthew Cribbet. "0203 Attachment Style and Multidimensional Sleep Health." SLEEP 47, Supplement_1 (2024): A87—A88. http://dx.doi.org/10.1093/sleep/zsae067.0203.

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Abstract Introduction Aspects of close relationships, including adult attachment style, are important for sleep health. While attachment anxiety has been consistently associated with poor sleep across the lifespan, studies linking attachment avoidance to poor sleep have been mixed. Some previous research has even suggested that attachment avoidance may be a protective factor for promoting better sleep. One limitation of these prior studies has been a reliance on a single measure of sleep. We addressed this limitation by examining associations between adult attachment style and a multidimension

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Hao, Qi, and Qiyuan Hong. "Health effects of multidimensional spatiotemporal environmental exposure." International Review for Spatial Planning and Sustainable Development 13, no. 3 (2025): 117–37. https://doi.org/10.14246/irspsd.13.3_117.

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tracy, Eunjin, Matthew Lehrer, Christine So, et al. "0723 Multidimensional Sleep and Mental and Physical Health Among Retired Workers: A Sex-stratified Analysis." SLEEP 47, Supplement_1 (2024): A309. http://dx.doi.org/10.1093/sleep/zsae067.0723.

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Abstract Introduction Although individual sleep characteristics relate to mental and physical health among older adults, such sleep characteristics do not exist in isolation. Multidimensional sleep measures may better capture the comprehensive impact of sleep on health. However, few studies have examined multidimensional sleep health in relation to mental and physical health outcomes among retired older adults. Likewise, few studies have examined sex differences in these relationships. This study examined associations between multidimensional sleep and health outcomes (i.e., depressive symptom

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Eachus, Peter. "Multidimensional health locus of control beliefs of health promotion officers." Health Education Journal 50, no. 2 (1991): 67–70. http://dx.doi.org/10.1177/001789699105000203.

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Ambel, Alemayehu Azeze, Harriet Kasidi Mugera, and Robert E. S. Bain. "Accounting for drinking water quality in measuring multidimensional poverty in Ethiopia." PLOS ONE 15, no. 12 (2020): e0243921. http://dx.doi.org/10.1371/journal.pone.0243921.

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The Multidimensional Poverty Index is used increasingly to measure poverty in developing countries. The index is constructed using selected indicators that cover health, education, and living standards dimensions. The accuracy of this tool, however, depends on how each indicator is measured. This study explores the effect of accounting for water quality in multidimensional poverty measurement. Access to drinking water is traditionally measured by water source types. The study uses a more comprehensive measure, access to safely managed drinking water services, which are free from E. coli contam

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Tighe, Caitlan, Ryan Brindle, Sarah Stahl, et al. "Multidimensional Sleep Health and Physical Functioning in Older Adults." Innovation in Aging 4, Supplement_1 (2020): 428. http://dx.doi.org/10.1093/geroni/igaa057.1382.

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Abstract Prior studies link specific sleep parameters to physical functioning in older adults. Recent work suggests the utility of examining sleep health from a multidimensional perspective, enabling consideration of an individual’s experience across multiple different sleep parameters (e.g., quality, duration, timing). We examined the associations of multidimensional sleep health with objective, performance-based measures of physical functioning in older adults. We conducted a secondary analysis of 158 adults (Mage=71.8 years; 51.9% female) who participated in the Midlife in the United States

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Wang, Jinfang, Hui Xiao, and Xiaojin Liu. "The Impact of Social Capital on Multidimensional Poverty of Rural Households in China." International Journal of Environmental Research and Public Health 20, no. 1 (2022): 217. http://dx.doi.org/10.3390/ijerph20010217.

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Getting rid of multidimensional poverty is both the people’s wish and the direction of governance. Based on 2018 China Household Tracking Survey (CFPS) data, this paper identifies household multidimensional poverty in rural areas using a combination of the MPI index and the A-F method. The relationship between social capital and multidimensional poverty was also empirically analyzed using a Logit model. The results showed that: (1) 1599 multidimensional poverty households were identified, the incidence of multidimensional poverty was 24.94%, and the multidimensional poverty index was 0.103. In

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Aminou, Fawaz A. Adéchinan, and Pam Zahonogo. "Analysis of Deprivations Suffered by Children Under Five in Benin." Journal of Socioeconomics and Development 2, no. 2 (2020): 125. http://dx.doi.org/10.31328/jsed.v2i2.1219.

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Children are seriously affected by poverty and suffer particular deprivations. In addition, their situation is most of the time ignored in the strategies devoted to tackling poverty. This study examined the multidimensional poverty of children under five in Benin by identifying its determinants. It used the data from the demographic and health surveys in Benin from 2011-2012 and adopted the approach by Alkire & Foster (2011) to generate multidimensional poverty profiles of children. The weightings of the dimensions were generated by multiple correspondence analysis. The GLM and Logit model

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Kumbhakar, Satyanarayan, and Pinaki Das. "Trends and Status of Multidimensional Child Deprivation in India from 2005-06 to 2019-21: A Comparative Analysis Using NFHS Data." Vidyasagar University Journal of Economics XXVIII, no. 00 (2024): 184–202. https://doi.org/10.62424/vuje.2024.28.00.13.

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Child deprivation remains a critical issue in India, where many children under five lack access to basic necessities like healthcare, nutrition, and sanitation. Addressing this challenge is essential for achieving sustainable development goals and ensuring the well-being of future generations. The present study uses unit-level data from the last three rounds of the National Family Health Survey (NFHS) (2005-06, 2015-16, and 2019-21) to develop the Multidimensional Child Deprivation Index (MCDI) in India. The MCDI includes health care, nutritional status, and hygiene, measured using the Alkire-

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Sykes, Susie, Jane Wills, Daniel Frings, Sarah Church, and Kerry Wood. "Multidimensional eHealth Literacy for Infertility." International Journal of Environmental Research and Public Health 17, no. 3 (2020): 966. http://dx.doi.org/10.3390/ijerph17030966.

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Infertility is a major public health issue and increasingly, the internet is used as a source of information and advice. The aim of this study is to understand the eHealth literacy of individuals and couples in relation to infertility. A non-probability sample of 27 participants was recruited from existing support groups, online advertising and snowballing representing the diverse population groups for whom involuntary childlessness is an issue. Information online was used both for decision making and developing interactive health literacy for health consultations. Participants may be both con

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Mustafa, Kiran, Misbah Nosheen, and Atta Ullah Khan. "Dynamic reflections of multidimensional health poverty in Pakistan." PLOS ONE 16, no. 11 (2021): e0258947. http://dx.doi.org/10.1371/journal.pone.0258947.

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The recent methodological development has entirely shifted the identification of poor in the multidimensional spectrum; thereby addressing the multiple health spheres. The present research primarily examines the dynamics of multidimensional health poverty on the basis of HIES & PSLM nationwide survey data from 2013–14 to 2018–19. The study employed Alkire & Foster Alkire, S (2007) Multidimensional Poverty Index to estimate the seven distinct dimensions of health aspects to identify the poor. The results of health poverty demonstrate a declining trend over time at national, provincial a

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Mhagama, Geofrey. "Estimations of Multidimensional Energy Poverty in Tanzania." Rural Planning Journal 25, no. 2 (2024): 74–86. http://dx.doi.org/10.59557/rpj.25.2.2023.51.

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This study assesses the level of multidimensional energy poverty in Tanzania. The study uses descriptive and inferential statistics based on data from the 2015-2016 Tanzania Demographic and Health Surveys (DHS), as they provide the most comprehensive datasets for this analysis. The analysis revealed that 74.1% of households were in rural areas, while the remaining 25.9% were in urban areas. Moreover, the study found that 80.6% of household heads were considered multidimensionally energy-poor. For inferential statistics, the Alkire-Foster estimates found that 81.2% of households in Tanzania wer

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Carey, Philip, David While, Patricia Sloper, and Anne Charlton. "Is Health Locus of Control Related to Health Education Activity?" Psychological Reports 76, no. 3_suppl (1995): 1389–90. http://dx.doi.org/10.2466/pr0.1995.76.3c.1389.

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Analysis of responses of 1922 teachers indicated that Multidimensional Health Locus of Control scale was a suitable instrument for assessing their health beliefs. The results suggest that health belief is not linked to whether teachers teach about cancer and, by implication, health generally.

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Johannessen, Ane, Shanshan Xu, Achenyo Peace Abbah, and Christer Janson. "Greenness exposure: beneficial but multidimensional." Breathe 19, no. 2 (2023): 220221. http://dx.doi.org/10.1183/20734735.0221-2022.

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Many studies have shown that greenness has beneficial health effects, particularly on psychological and cardiovascular outcomes. In this narrative review, we provide a synthesis of knowledge regarding greenness exposure and respiratory health. The following outcomes were reviewed: respiratory mortality, lung cancer mortality, lung cancer incidence, respiratory hospitalisations, lung function, COPD, and asthma. We identified 174 articles through a literature search in PubMed, of which 42 were eligible for inclusion in this review. The most common marker for greenness exposure was the normalised

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Leenaars, Antoon A. "Suicide: A Multidimensional Malaise." Suicide and Life-Threatening Behavior 26, no. 3 (1996): 221–36. http://dx.doi.org/10.1111/j.1943-278x.1996.tb00608.x.

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No one really knows why human beings commit suicide. The goal of this paper is to provide a psychological point of view on the topic, among the many other perspectives that are needed. It addresses the question by providing a theory of suicide, arguing that it is theory that allows us to sort out the booming buzzing mess of experience (Wm. James). Suicide is a multidimensional malaise. Metaphorically speaking, it is an intrapsychic drama on an interpersonal stage. As sound theory must be empirically observable, the theory is next applied to research of suicide notes, studying such factors as a

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Yin, Bibo, Yilin Chen, and Xiaocang Xu. "How Does Temperature Change Affect Residents’ Health? A Multidimensional Health Perspective." Weather, Climate, and Society 16, no. 4 (2024): 723–38. http://dx.doi.org/10.1175/wcas-d-24-0041.1.

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Abstract Frequent heatwaves, the heat island effect, and numerous extreme weather events due to climate change and urbanization pose significant risks to public health. We constructed a system of indicators to measure four dimensions of health: physiological, psychological, social, and behavioral. Meanwhile, fixed-effect models were used to analyze data from the three waves (2013–18) across 113 cities in the China Health and Retirement Longitudinal Study (CHARLS). The findings displayed that both low and high temperatures negatively affect physiological, psychological, social, and behavioral h

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Alves Faria, Ana da Conceição, Maria Manuela F. P. S. Martins, Olga Maria Pimenta Lopes Ribeiro, et al. "Multidimensional Frailty and Lifestyles of Community-Dwelling Older Portuguese Adults." International Journal of Environmental Research and Public Health 19, no. 22 (2022): 14723. http://dx.doi.org/10.3390/ijerph192214723.

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(1) Background: Lifestyles are referred to as conditioning factors for the frailty of older adults. However, there are few studies that explore its association. The objective of the present study is to analyze the association between sociodemographic, clinical, and lifestyle factors of older adults people with multidimensional frailty. (2) Methods: Descriptive and correlational study carried out with older adults people registered in a Health Unit in Portugal. Data were collected through a sociodemographic and clinical questionnaire and application of the Individual Lifestyle Profile and Tilbu

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Vieira-Meyer, Anya Pimentel Gomes Fernandes, Sidney Feitoza Farias, Franklin Delano Soares Forte, et al. "Saúde mental de agentes comunitários de saúde no contexto da COVID-19." Ciência & Saúde Coletiva 28, no. 8 (2023): 2363–76. http://dx.doi.org/10.1590/1413-81232023288.06462023.

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Resumo O objetivo deste estudo foi analisar os fatores relacionados à saúde mental dos agentes comunitários de saúde (ACS) no contexto da COVID-19. Participaram 1.935 ACS de quatro capitais nordestinas e de quatro cidades do interior do Ceará. Foram coletados dados sociodemográficos e profissiográficos; SRQ-20; WHOQOL-Bref; exposição à violência; Escala de Autoeficácia Geral (EAEG); Escala Multidimensional de Suporte Social Percebido (MSPSS); informações relacionadas à COVID-19 e Escala de Ansiedade para Coronavírus (EAC). 40,5% exibiram SRQ > 7, sinalizando altos níveis de transtornos ment

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Firth, Kimberly M., and Katherine Smith. "A Survey of Multidimensional Health and Fitness Indexes." Military Medicine 175, no. 8S (2010): 110–17. http://dx.doi.org/10.7205/milmed-d-10-00257.

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Aramburu, María José, Rafael Berlanga, and Indira Lanza. "Social Media Multidimensional Analysis for Intelligent Health Surveillance." International Journal of Environmental Research and Public Health 17, no. 7 (2020): 2289. http://dx.doi.org/10.3390/ijerph17072289.

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Background: Recent work in social network analysis has shown the usefulness of analysing and predicting outcomes from user-generated data in the context of Public Health Surveillance (PHS). Most of the proposals have focused on dealing with static datasets gathered from social networks, which are processed and mined off-line. However, little work has been done on providing a general framework to analyse the highly dynamic data of social networks from a multidimensional perspective. In this paper, we claim that such a framework is crucial for including social data in PHS systems. Methods: We pr

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Buxton, Orfeu. "MULTIDIMENSIONAL SLEEP HEALTH IN CARDIOMETABOLIC AND COGNITIVE AGING." Innovation in Aging 8, Supplement_1 (2024): 262. https://doi.org/10.1093/geroni/igae098.0848.

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Abstract Multi-dimensional sleep health perspectives provide a holistic picture of the various independent and interacting facets of sleep health essential for health and wellbeing. This is key because characterizing sleep extends beyond simple measures such as the amount of time spent asleep and encompasses broad yet interrelated concepts. Taking a life course perspective, this presentation will provide theoretical background and empirical evidence for a 6-component multi-dimensional sleep health model using objective (wrist actigraphy) measures. This will, specifically, be examined in two la

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Kim, Namhyun, Rachel Kolko Conlon, Samaneh Farsijani, and Marquis Samuel Hawkins. "Association Between Chrononutrition Patterns and Multidimensional Sleep Health." Nutrients 16, no. 21 (2024): 3724. http://dx.doi.org/10.3390/nu16213724.

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Background/Objectives: Sleep health has been associated with diet quality, but the relationship between chrononutrition patterns and multidimensional sleep health is unclear. This study identifies chrononutrition patterns among U.S. adults and examines their associations with multidimensional sleep health. Methods: This cross-sectional analysis used data from the 2017–2020 National Health and Nutrition Examination Survey. Chrononutrition behaviors were assessed using two 24 h dietary recalls. Latent profile analysis was used to identify chrononutrition profiles. Multivariable survey regression

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Bowers, Kenneth S. "Tovrard a Multidimensional View of Personality and Health." Journal of Personality 55, no. 2 (1987): 343–49. http://dx.doi.org/10.1111/j.1467-6494.1987.tb00440.x.

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German, Danielle, and Carl A. Latkin. "Social Stability and Health: Exploring Multidimensional Social Disadvantage." Journal of Urban Health 89, no. 1 (2011): 19–35. http://dx.doi.org/10.1007/s11524-011-9625-y.

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Pathmanathan, S., and S. A. Abhayaratna. "Menopause: A multidimensional approach to optimal Endocrine health." Sri Lanka Journal of Diabetes Endocrinology and Metabolism 14, no. 1 (2023): 3–4. http://dx.doi.org/10.4038/sjdem.v14i1.7505.

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Nekhorosheva, Elena, Ekaterina Enchikova, and Daria Kasatkina. "Multidimensional Health Literacy Scale: Development and Psychometric Properties." Voprosy obrazovaniya / Educational Studies Moscow, no. 1 (April 18, 2023): 126–60. http://dx.doi.org/10.17323/1814-9545-2023-1-126-160.

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Health literacy (HL) is often discussed in the context of school curricula, however there is a lack of published and varified instruments for evaluating HL in schoolaged children in Russia. This article presents the step-by-step development of a multidimensional assessment method of health literacy (MMHL) for middle-school children. The conceptual model is based on a review of international experience of HL measurement and includes three functional sections — autonomy, motivation, and practice; and four themes — hygiene, daily routine, nutrition and physical activity. The final version of the

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Fijałek, Paulina, Jan Karczmarz, Aleksandra Paprocka, et al. "Inositol – multidimensional support for metabolic and mental health." Medical Science 29, no. 156 (2025): 1–11. https://doi.org/10.54905/disssi.v29i156.e23ms3530.

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Zhou, Ziming, Yumeng Jiang, Haitao Wu, Fan Jiang, and Zhiming Yu. "The Age of Mobility: Can Equalization of Public Health Services Alleviate the Poverty of Migrant Workers?" International Journal of Environmental Research and Public Health 19, no. 20 (2022): 13342. http://dx.doi.org/10.3390/ijerph192013342.

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Migrants workers are important participants in and contributors to economic and social construction, but they still face the reality of being marginalized. Based on data from the China Migrants Dynamic Survey in 2018, this paper systematically investigated the impact of public health services on the multidimensional poverty of migrant workers. The research found that, first, the current mean of the multidimensional poverty deprivation value of migrant workers is 0.1806, which is one dimension of poverty that exists on average. In addition, migrant workers do not have high access to public heal

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Andrabi, Javaid Ahmad. "Spatial Analysis Of Multidimensional Poverty In India: An Examination Of Regional Disparities." Journal of Applied Sciences 10, no. 1 (2025): 1–8. https://doi.org/10.52338/joas.2025.4547.

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This research investigates the spatial distribution and intensity of multidimensional poverty in India for the year 2021, using secondary data from the NITI Aayog report 2021, which is based on the NFHS-4 dataset. The 2021 Multidimensional Poverty Index (MPI), calculated using the Alkire and Foster methodology, includes three dimensions—health, education, and standard of living—comprising twelve indicators. The study identifies heightened levels of deprivation in economically challenged states such as Bihar, Madhya Pradesh, Uttar Pradesh, and Jharkhand. A detailed analysis was conducted to det

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Tomko, Mary Kay. "Recovery: A Multidimensional Process." Issues in Mental Health Nursing 9, no. 2 (1988): 139–49. http://dx.doi.org/10.3109/01612848809140919.

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Ahles, Tim. "Cancer Pain: A Multidimensional Perspective." Hospice Journal, The 8, no. 1/2 (1992): 25–48. http://dx.doi.org/10.1300/j011v08n01_02.

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Arianti, Nyayu Neti, Ketut Sukiyono, Rihan Ifebri, and Lathifah Khairani. "Household Poverty Dynamics In Bengkulu Province Before And During The Covid-19 Pandemic." Bengkulu International Conference on Economics, Management, Business and Accounting (BICEMBA) 2 (December 4, 2024): 1643–54. https://doi.org/10.33369/bicemba.2.2024.141.

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The COVID-19 pandemic has made it difficult for people to work to generate income. During the COVID-19 pandemic, people experienced limitations, especially in economic and social activities. The COVID-19 pandemic is suspected of causing an increase in poverty rates both multidimensionally and monetarily. This study analyzed household poverty dynamics in Bengkulu Province before and during the COVID-19 pandemic using a monetary and multidimensional poverty approach. The study was conducted in Bengkulu Province and included five years of poverty data, namely before the pandemic (2018-2019) and d

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