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Stamatakis E, Koemel NA, Biswas RK, Ahmadi MN, Allman-Farinelli M, Trost SG, Inan-Eroglu E, Del Pozo Cruz B, Bin YS, Postnova S, Duncan MJ, Dumuid D, Brown H, Maher C, Fontana L, Simpson S, Cistulli PA. Minimum and optimal combined variations in sleep, physical activity, and nutrition in relation to all-cause mortality risk. BMC Med 2025; 23:111. [PMID: 40001093 PMCID: PMC11863424 DOI: 10.1186/s12916-024-03833-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2024] [Accepted: 12/18/2024] [Indexed: 02/27/2025] Open
Abstract
BACKGROUND Sleep, physical activity, and nutrition (SPAN) are critical behaviours for health, although they have traditionally been studied separately. We examined the combined associations of SPAN and the minimum between-individual variations associated with meaningfully lower all-cause mortality risk. METHODS This prospective cohort analysis included 59,078 participants from the UK Biobank (median age: 64.0 years; 45.4% male) who wore trackers for 7 days and self-reported dietary data. Wearable-measured sleep (hours/day) and moderate to vigorous physical activity (MVPA; mins/day) were calculated using a machine learning based schema. A 10-item diet quality score (DQS) assessed the intake of vegetables, fruits, fish, dairy, whole grains, vegetable oils, refined grains, processed and unprocessed meats, and sugary beverages (0-100 for all components with higher values indicating higher quality). Cox proportional hazards models were used to estimate hazard ratios (HR) for all-cause mortality risk across 27 separate joint tertile combinations of SPAN behaviours with the lowest tertile for all three as the referent group. For more granular clinical interpretations, we examined combined incremental dose-response changes of the SPAN behaviours using the 5th percentile of each behaviour as the referent point. RESULTS Over the 8.1-year median follow-up time, 2,458 mortality events occurred. Compared to the referent group of combined SPAN exposure (lowest tertiles for all three), the optimal SPAN combination involving moderate sleep duration (7.2-8.0 h/day), high MVPA (42-103 min/day), and a DQS between 57.5 and 72.5 was associated with an HR of 0.36 (95% CI: 0.26-0.50). Relative to the 5th percentile of sleep (5.5 h/day), physical activity (7.3 min/day), and nutrition (36.9 DQS), a theoretical minimum combined increase of 15 min/day of sleep, 1.6 min/day MVPA, and 5 DQS points (corresponding to e.g., extra 1/2 serving of vegetables per day or 1 less serving of processed meat per week) was associated with 10% lower all-cause mortality risk (0.90; 0.88-0.93). Combined increases of 75 min/day of sleep, 12.5 min/day MVPA, and 25 DQS points were associated with 50% lower all-cause mortality risk (0.50; 0.44-0.58). CONCLUSIONS This study highlights the potential health value of subtle combined SPAN modification in relation to mortality risk and expands opportunities for more holistic recommendations.
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Affiliation(s)
- Emmanuel Stamatakis
- Mackenzie Wearables Research Hub, Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia.
- School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
| | - Nicholas A Koemel
- Mackenzie Wearables Research Hub, Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
- School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Raaj K Biswas
- Mackenzie Wearables Research Hub, Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
- School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Matthew N Ahmadi
- Mackenzie Wearables Research Hub, Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
- School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Margaret Allman-Farinelli
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
- Nutrition and Dietetics, School of Nursing, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Stewart G Trost
- School of Human Movement and Nutrition Sciences, The University of Queensland, and Children's Health Queensland, Brisbane, QLD, Australia
| | - Elif Inan-Eroglu
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Borja Del Pozo Cruz
- Faculty of Sports Sciences, Universidad Europea de Madrid, Madrid, Spain
- Faculty of Biomedical and Health Sciences, Universidad Europea de Madrid, Madrid, Spain
- Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
| | - Yu Sun Bin
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
- Northern Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Svetlana Postnova
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
- School of Physics, Faculty of Science, The University of Sydney, Sydney, NSW, Australia
| | - Mitch J Duncan
- School of Medicine and Public Health, College of Health, Medicine, and Wellbeing, The University of Newcastle, University Drive, Callaghan, NSW, Australia
- Centre for Active Living and Learning, University of Newcastle, Callaghan, NSW, Australia
| | - Dorothea Dumuid
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, South Australia, Australia
| | - Helen Brown
- School of Exercise and Nutrition Sciences, Faculty of Health, Deakin University, Geelong, VIC, Australia
| | - Carol Maher
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, South Australia, Australia
| | - Luigi Fontana
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
- Department of Endocrinology, Royal Prince Alfred Hospital, Sydney, NSW, Australia
| | - Stephen Simpson
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
- School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Sydney, NSW, Australia
| | - Peter A Cistulli
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
- Northern Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
- Department of Respiratory and Sleep Medicine, Royal North Shore Hospital, Sydney, NSW, Australia
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Coates AL, Fair HL, Lea EJ, Doherty KV. Insights for dementia risk reduction among lower SES adults in OECD countries: scoping review of interventions targeting multiple common health risk factors. Int J Equity Health 2025; 24:52. [PMID: 39994664 PMCID: PMC11853287 DOI: 10.1186/s12939-025-02386-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2024] [Accepted: 01/10/2025] [Indexed: 02/26/2025] Open
Abstract
The number of people living with dementia is expected to rise to 153 million cases globally by 2050. This will come at a high economic and human cost to societies with disproportionate effects on socioeconomically disadvantaged groups who experience greater exposures to- and fewer protections from- the environmental, social and behavioural drivers of dementia risk. Almost half (45%) of dementia incidence could theoretically be prevented or delayed by addressing 14 modifiable risk factors. While several studies have demonstrated the feasibility of multidomain dementia risk reduction interventions in relatively older, educated and wealthy populations, we are not aware of any studies to date explicitly targeting younger adults (< 50 years) with lower socioeconomic status. To inform future strategies, we conducted a scoping review of intervention studies targeting multiple 'dementia-related' risk factors among adults with lower socioeconomic status in developed country contexts. We identified 1003 unique records; 34 met our criteria for inclusion - involving more than 17,500 participants from 13 countries. While none of the studies explicitly targeted dementia risk reduction, they reported on 30 relevant multidomain interventions targeting common risk factors associated with dementia including; diet (28), physical inactivity (27), obesity (22), diabetes (9), hypertension (8), smoking (6), alcohol use (6), depression (3) and social isolation (1). While most studies recorded positive effects on one or more health behaviours, there was a diversity in the design, approach and outcomes of interventions, with significant intervention effects being associated with the use of a wider range of behaviour change techniques. We suggest that designing interventions to reduce dementia risk and disparities requires a high degree of contextual specificity and propose a structured and participatory approach.
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Affiliation(s)
- Amy L Coates
- Wicking Dementia Research and Education Centre, College of Health and Medicine, University of Tasmania, 17 Liverpool St, Hobart, TAS, 7000, Australia.
| | - Hannah L Fair
- Wicking Dementia Research and Education Centre, College of Health and Medicine, University of Tasmania, 17 Liverpool St, Hobart, TAS, 7000, Australia
| | - Emma J Lea
- Wicking Dementia Research and Education Centre, College of Health and Medicine, University of Tasmania, 17 Liverpool St, Hobart, TAS, 7000, Australia
| | - Kathleen V Doherty
- Wicking Dementia Research and Education Centre, College of Health and Medicine, University of Tasmania, 17 Liverpool St, Hobart, TAS, 7000, Australia
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Perez-Araluce R, Bes-Rastrollo M, Gea A, Martínez-González MA, VanderWeele TJ, Chen Y. Binge drinking and subsequent health and well-being among middle-aged Spanish adults: An outcome-wide analysis. Prev Med 2025; 191:108209. [PMID: 39706486 DOI: 10.1016/j.ypmed.2024.108209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2024] [Revised: 12/10/2024] [Accepted: 12/12/2024] [Indexed: 12/23/2024]
Abstract
BACKGROUND Binge drinking has been associated with higher risks of adverse physical health outcomes. Motivations behind binge drinking may involve seeking pleasure and social connectedness, which are important aspects of life that constitute well-being. However, studies that apply a holistic framework of well-being to understand binge drinking remain limited, especially in non-English speaking populations. METHODS Using longitudinal data from the "Seguimiento Universidad de Navarra" (SUN) Cohort (n = 2837 Spanish university graduates, 51% women, mean age [SD] = 54 [12] years, data collected from March 1999 to July 2022), this study examined the association of binge drinking with a wide range of subsequent psychological well-being, mental health, physical health, and health behaviour outcomes over a four-year follow-up period. A set of regression models were used, adjusting for sociodemographic characteristics, total alcohol consumption and pre-baseline values of the outcome variables. RESULTS Binge drinkers reported a higher mean level of positive relations with others (standardized β = 0.12, 95% CI: 0.01 to 0.24) than non-binge drinkers. However, binge drinking was associated with several adverse health outcomes such as higher risks of obesity (RR = 1.86, 95% CI: 1.09 to 3.19), major cardiovascular events (RR = 2.46, 95% CI: 1.04 to 5.82), and unfavourable health behaviours (e.g., a longer screen time by 2.85 hours/week, 95% CI: 0.46 to 5.23). CONCLUSIONS Our study provides novel insights into the complex and multifaceted relationship of binge drinking with health and well-being. Further research will enhance our understandings of binge drinking and inform culturally appropriate interventions that effectively mitigate its negative consequences.
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Affiliation(s)
- Rafael Perez-Araluce
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, Pamplona, Spain; IDISNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Maira Bes-Rastrollo
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, Pamplona, Spain; IDISNA, Navarra Institute for Health Research, Pamplona, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Alfredo Gea
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, Pamplona, Spain; IDISNA, Navarra Institute for Health Research, Pamplona, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
| | - Miguel Angel Martínez-González
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, Pamplona, Spain; IDISNA, Navarra Institute for Health Research, Pamplona, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Tyler J VanderWeele
- Human Flourishing Program, Institute for Quantitative Social Science, Harvard University, Cambridge, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Ying Chen
- Human Flourishing Program, Institute for Quantitative Social Science, Harvard University, Cambridge, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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Börjesson M, Arvidsson D. Does everyone benefit equally from physical activity? Lancet Public Health 2025; 10:e74-e75. [PMID: 39909691 DOI: 10.1016/s2468-2667(25)00001-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2024] [Accepted: 01/02/2025] [Indexed: 02/07/2025]
Affiliation(s)
- Mats Börjesson
- Center for Lifestyle Intervention, Department of Molecular and Clinical Medicine, University of Gothenburg and Sahlgrenska University Hospital, Gothenburg, Sweden.
| | - Daniel Arvidsson
- Center for Health and Performance, Department of Food and Nutrition, and Sport Science, University of Gothenburg, Gothenburg, Sweden
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Ortiz C, López-Cuadrado T, Ayuso-Álvarez A, Rodríguez-Blázquez C, Galán I. Co-occurrence of behavioural risk factors for non-communicable diseases and mortality risk in Spain: a population-based cohort study. BMJ Open 2025; 15:e093037. [PMID: 39863403 PMCID: PMC11784177 DOI: 10.1136/bmjopen-2024-093037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2024] [Accepted: 12/12/2024] [Indexed: 01/27/2025] Open
Abstract
OBJECTIVES This study aims to estimate the impact of the co-occurrence of behavioural risk factors on mortality in the Spanish adult population. DESIGN Population-based cohort study based on data from the 2011-2012 Spanish National Health Survey and the 2014 European Health Survey (n=35 053 participants ≥15 years of age) both linked to mortality data as of December 2022. Risk factors included tobacco use, high-risk alcohol consumption, low adherence to the Mediterranean diet, leisure time sedentary lifestyle and body mass index outside the 18.5-24.9 kg/m2 range. Deaths from any cause (n=2784), from diseases of the circulatory system (n=678) and from tumours (n=869) were identified. Standardised rate differences (SRD) and standardised rate ratios (SRR) were estimated using Poisson regression models adjusted for sociodemographic variables. RESULTS Compared with those with no unhealthy behaviours, overall mortality risk increased gradually as the co-occurrence of risk behaviours increased. Individuals with two factors had an SRD of 3.0 deaths per 1000 person-years (95% CI 1.8; 4.3) and an SRR of 1.88 (95% CI 1.35; 2.62). A coexistence of five risk factors increased SRD and SRR to 11.5 (95% CI 7.2; 15.8) and 4.34 (95% CI 2.84; 6.63), respectively. The association was stronger among individuals under 65 years of age, whereas it did not vary by sex and educational level. Those reporting five risk factors had SRRs of 6.35 (95% CI 2.91; 13.83) and 2.57 (95% CI 1.11; 5.98) for tumour-related and cardiovascular disease mortality, respectively. CONCLUSIONS The co-occurrence of unhealthy behaviours increases the risk of overall and cause-specific mortality. Targeting multiple risk behaviours should be incorporated into the public health strategy.
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Affiliation(s)
| | - Teresa López-Cuadrado
- Carlos III Health Institute, Madrid, Spain
- Department of Preventive Medicine and Public Health, Autonomous University of Madrid, Madrid, Spain
| | | | | | - Iñaki Galán
- Carlos III Health Institute, Madrid, Spain
- Department of Preventive Medicine and Public Health, Autonomous University of Madrid, Madrid, Spain
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Hodder RK, O'Brien KM, Al-Gobari M, Flatz A, Borchard A, Klerings I, Clinton-McHarg T, Kingsland M, von Elm E. Interventions implemented through sporting organisations for promoting healthy behaviour or improving health outcomes. Cochrane Database Syst Rev 2025; 1:CD012170. [PMID: 39803834 PMCID: PMC11726619 DOI: 10.1002/14651858.cd012170.pub2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/16/2025]
Abstract
BACKGROUND Chronic diseases are the leading cause of mortality and morbidity worldwide. Much of this burden can be prevented by adopting healthy behaviours and reducing chronic disease risk factors. Settings-based approaches to address chronic disease risk factors are recommended globally. Sporting organisations are highly prevalent, and engage many people in many countries. As such, they represent an ideal setting for public health interventions to promote health. However, there is currently limited evidence of their impact on healthy behaviour and health outcomes as previous systematic reviews are either limited in their scope (e.g. restricted to professional sporting organisations), or are out of date. OBJECTIVES Primary: to assess the benefits and harms of interventions implemented through sporting organisations to promote healthy behaviours (including physical activity, healthy diet) or reduce health risk behaviours (including alcohol consumption, tobacco use). Secondary: to assess the benefits and harms of these interventions to promote health outcomes (e.g. weight), other health-related behaviours (e.g. help-seeking behaviour) or health-related knowledge; to determine whether benefits and harms differ based on the characteristics of the interventions, including target population and intervention duration; to assess unintended adverse consequences of sporting organisation interventions; and to describe their cost or cost-effectiveness. SEARCH METHODS We searched CENTRAL, MEDLINE, Embase, one other database and two clinical trial registries, from inception to May 2024, to identify eligible trials. We searched Google Scholar in May 2024. We did not impose language or publication status restrictions. We also searched reference lists of included trials for other potentially eligible trials. SELECTION CRITERIA We included randomised controlled trials (RCTs), including cluster-RCTs, of any intervention conducted within or using a sporting organisation for access to a target group, that aimed to improve a health behaviour primary outcome or a secondary review outcome, and had a parallel control group (no intervention, alternative intervention). Eligible participants were any individual exposed to an intervention involving a sporting organisation, including players, members, coaches, and supporters. DATA COLLECTION AND ANALYSIS We used standard methodological procedures expected by Cochrane. We conducted random-effects meta-analyses to synthesise results where we could pool data from at least two trials. Where we could not conduct meta-analysis, we followed Cochrane guidance for synthesis using other methods and reported results according to the Synthesis Without Meta-analysis (SWiM) guidance. MAIN RESULTS We included 20 trials (42 trial arms, 8179 participants) conducted in high-income countries, and identified four ongoing trials and four trials awaiting classification. There was considerable heterogeneity in the type of participants, interventions and outcomes assessed across trials. Included trials primarily targeted sporting organisation members (eight trials) or supporters (eight trials), males only (11 trials) and adults (14 trials). Football clubs (e.g. soccer, American football, Australian football league) were the most common intervention setting (15 trials), and interventions targeted various combinations of health behaviours, knowledge and health outcomes. Fourteen trials (10 RCTs and four cluster-RCTs) assessed the impact of a sporting organisation intervention on a primary outcome: physical activity (nine trials); diet (six trials); alcohol consumption (11 trials); and tobacco use (two trials). For RCTs, we assessed the risk of bias for primary outcomes (physical activity, diet, alcohol consumption) and unintended adverse consequences as being at low risk of bias (four outcomes), some concerns (one outcome) or high risk of bias (32 outcomes), due to outcomes being self-reported. For cluster-RCTs, we assessed the risk of bias for all primary outcomes (alcohol consumption, tobacco use) as high risk (eight outcomes), due to outcomes being self-reported. Sporting organisation interventions versus control probably have a small positive effect on the amount of physical activity per day, equivalent to approximately 7.4 minutes of moderate-to-vigorous physical activity (MVPA) per day (standardised mean difference (SMD) 0.36, 95% confidence interval (CI) 0.22 to 0.49; I2 = 3%; 4 trials, 1213 participants; moderate-certainty evidence) and may not reduce sedentary behaviour (mean difference (MD) -15.18, 95% CI -30.82 to 0.47; I2 = 0%; 2 trials, 1047 participants; low-certainty evidence). Sporting organisation interventions versus control may have a moderate positive effect on fruit and vegetable consumption, equivalent to a score increase of 1.25 points on a 12-point scale for frequency of fruit and vegetable consumption (SMD 0.50, 95% CI 0.35 to 0.65; I2 = 0%; 5 trials, 1402 participants; low-certainty evidence). Sporting organisation interventions versus control may reduce sugary drink consumption (equivalent to a reduction of sugary drink consumption by 0.8 times per day), but the evidence is very uncertain (SMD -0.37, 95% CI -0.64 to -0.10; I2 = 0%; 2 trials, 225 participants; very low-certainty evidence). Sporting organisation interventions versus control may have little to no effect on alcohol consumption (equivalent to a reduction of 0.38 units of alcohol consumed per week), but the evidence is very uncertain (MD -0.38, 95% CI -1.00 to 0.24; I2 = 78%; 7 trials, 2313 participants; very low-certainty evidence). Two trials that could not be synthesised reported equivocal findings on tobacco use (low-certainty evidence). The evidence is very uncertain about the effect of sporting club interventions on unintended adverse consequences. Five trials assessed this outcome, with two reporting that there were no adverse consequences, one reporting only non-serious adverse consequences, and two reporting that there were serious unintended adverse consequences in less than 1% of participants. AUTHORS' CONCLUSIONS Overall, sporting organisation interventions probably increase MVPA by 7.4 minutes per day, may result in little to no difference in sedentary behaviour, and may increase fruit and vegetable consumption. The evidence is very uncertain about whether sporting organisation interventions decrease sugary drink and alcohol consumption. Findings for tobacco use and unintended adverse consequences were equivocal in the few trials reporting these; thus, the evidence was very uncertain. These findings should be interpreted in the context of the heterogeneity of the interventions, participants and sporting organisations for some outcomes.
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Affiliation(s)
- Rebecca K Hodder
- School of Medicine and Public Health, The University of Newcastle, Callaghan, Australia
- National Centre of Implementation Science, The University of Newcastle, Callaghan, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- Population Health Research Group, Hunter Medical Research Institute, Wallsend, Australia
| | - Kate M O'Brien
- School of Medicine and Public Health, The University of Newcastle, Callaghan, Australia
- National Centre of Implementation Science, The University of Newcastle, Callaghan, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- Population Health Research Group, Hunter Medical Research Institute, Wallsend, Australia
| | - Muaamar Al-Gobari
- Medical Library (BiUM), Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
| | - Aline Flatz
- Federal Office of Public Health, Liebefeld, Switzerland
| | - Annegret Borchard
- Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
| | - Irma Klerings
- Cochrane Austria, Department for Evidence-based Medicine and Evaluation, Danube University Krems, Krems, Austria
| | - Tara Clinton-McHarg
- School of Medicine and Public Health, The University of Newcastle, Callaghan, Australia
- Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Australia
| | - Melanie Kingsland
- School of Medicine and Public Health, The University of Newcastle, Callaghan, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- Population Health Research Group, Hunter Medical Research Institute, Wallsend, Australia
| | - Erik von Elm
- Cochrane Switzerland, c/o Cochrane Germany Foundation, Freiburg, Germany
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Alobaidi F, Heidari E, Sabbah W. Health-Related Behaviour Clusters and Functional Dentition in Older People. Gerodontology 2025. [PMID: 39777740 DOI: 10.1111/ger.12807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Revised: 08/05/2024] [Accepted: 12/20/2024] [Indexed: 01/11/2025]
Abstract
OBJECTIVES To identify different clusters of health-related behaviours and examine whether these clusters are associated with maintaining 20 or more teeth. BACKGROUND Engaging in risky behaviours impacts tooth loss, particularly among older adults. Maintaining 20 teeth is a challenge for this age group. The co-occurrence of health-risk behaviours is common and has been linked to an increased risk of multiple chronic diseases, including tooth loss. MATERIAL AND METHODS A cross-sectional analysis of wave 7 of the English Longitudinal Study of Ageing (ELSA) was conducted. Functional dentition was self-reported as having 20 or more teeth. Four health-related behaviours (smoking, alcohol intake, fruit and vegetable consumption, and physical activity) were analysed to investigate their association with functional dentition. Demographic characteristics (sex, age, ethnicity) and socioeconomic factors (education, wealth) were included as covariates. Latent Class Analysis (LCA) was conducted using four dichotomised behaviour variables to identify clusters of behaviours. Logistic regression modelling was used to examine the association between clusters of health-related behaviours and functional dentition. The model was adjusted for demographic and socioeconomic factors. RESULTS A total of 7783 participants were included. The LCA model identified three clusters: (1) risky, (2) moderate and (3) healthy. In the fully adjusted logistic regression model, the odds of having a functional dentition were 1.42 higher among those in the moderate cluster (95% CI: 1.23, 1.65), and 1.70 higher among those in the healthy cluster (95% CI: 1.39, 2.09) than for participants in the risky cluster. CONCLUSION Risky behaviours tend to cluster among older adults. Engaging in multiple risky behaviours is associated with having fewer than 20 teeth. Initiatives and public health campaigns that focus on these clustering patterns, as well as the underlying factors, could benefit both oral and general health.
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Affiliation(s)
- Fatimah Alobaidi
- Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, UK
| | - Ellie Heidari
- Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, UK
| | - Wael Sabbah
- Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, UK
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Cicekli I, Gokce Eskin S. High prevalence and co-occurrence of modifiable risk factors for non-communicable diseases among university students: a cross-sectional study. Front Public Health 2025; 12:1484164. [PMID: 39845658 PMCID: PMC11753351 DOI: 10.3389/fpubh.2024.1484164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2024] [Accepted: 12/05/2024] [Indexed: 01/24/2025] Open
Abstract
Background Non-communicable diseases (NCDs) are a major global concern. This study aimed to examine the prevalence and co-occurrence of lifestyle risk factors among university students. Methods This analytical, cross-sectional study was conducted between January and April 2022. A total of 485 students were included in the study. Lifestyle risk variables for NCDs included physical inactivity, low fruit and vegetable consumption, alcohol use, tobacco smoking, being overweight/obese, and sugar sweetened beverages consumption. Results Our results showed that the most frequent risk factor was insufficient physical activity (89.2%), followed by low vegetable (70.5%) and fruit consumption (58.9%). Overall, more than half of the students (51.2%) had four or more risk factors highlighting the urgent need for preventive interventions. The co-occurrence of four or more lifestyle risk factors was significantly greater in students at private universities (aOR: 2.01 95% CI: 1.2; 3.35), those living in student homes (aOR: 3.57 95% CI: 1.96; 6.5), and those with fast food preferences when eating outside (a0R: 2.53 95% CI: 1.62; 3.96). Conclusion Targeted university-based interventions, such as promoting physical activity, providing affordable nutritious meals, and educating students on healthy lifestyles, are essential to reduce non-communicable disease (NCD) risk among students. Early action fosters lifelong healthy habits, supports healthy aging, and reduces healthcare costs. Future research should focus on refining these strategies to maximize their impact on university populations.
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Affiliation(s)
- Ipek Cicekli
- Faculty of Health Sciences, Department of Nutrition and Dietetics, Acibadem University, Istanbul, Türkiye
- Institute of Health Sciences, Department of Nutrition and Dietetics, Acibadem University, Istanbul, Türkiye
| | - Serap Gokce Eskin
- Faculty of Nursing, Department of Medical Nursing, Aydin Adnan Menderes University, Aydin, Türkiye
- Institute of Health Sciences, Department of Medical Nursing, Aydin Adnan Menderes University, Aydin, Türkiye
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Dunphy J, Vieira E, Stevely AK, Livingston M, Vashishtha R, Rivelin K, Holmes J. Have declines in the prevalence of young adult drinking in English-speaking high-income countries followed declines in youth drinking? A systematic review. DRUGS (ABINGDON, ENGLAND) 2025; 32:15-28. [PMID: 39404683 PMCID: PMC7616612 DOI: 10.1080/09687637.2024.2335989] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 03/12/2024] [Accepted: 03/23/2024] [Indexed: 01/27/2025]
Abstract
Background Alcohol use in early adulthood is a significant public health concern. The prevalence of adolescent alcohol consumption has been declining in high-income English-speaking countries since the early 2000s. This review aims to examine whether this trend continues in young adulthood. Methods We systematically searched Medline, PsycInfo and CINAHL and the grey literature. Eligible records reported the prevalence of alcohol consumption amongst 18-25-year-olds over a minimum three-year time frame in the United States (US), Canada, the United Kingdom, the Republic of Ireland, Australia and New Zealand. Results were described using narrative synthesis. Quality assessment was undertaken using the Joanna Briggs Institute Critical Appraisal Checklist for Prevalence Studies. Results and conclusion Thirty-two records from 22 different surveys were included. The prevalence of consumption amongst young adults fell in Australia, Ireland, and the United Kingdom and was stable in New Zealand and Canada. In the US, there was evidence of a decline in the prevalence of drinking among under-21s, but results for adults over the minimum purchase age were mixed. The prevalence of alcohol consumption in young adults appears to be broadly declining. This could lead to reduced rates of alcohol-related harms in the future. Further high-quality multinational surveys may help to confirm this trend.
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Affiliation(s)
- Jessica Dunphy
- Sheffield Addictions Research Group, School of Medicine and Population Health, University of Sheffield, Sheffield, UK
| | - Emma Vieira
- National Drug Research Institute, Curtin University, Perth, Australia
| | - Abigail K. Stevely
- Sheffield Addictions Research Group, School of Medicine and Population Health, University of Sheffield, Sheffield, UK
| | - Michael Livingston
- National Drug Research Institute, Curtin University, Perth, Australia
- Centre for Alcohol Policy Research, La Trobe University, Melbourne, Australia
- Department of Clinical Neurosciences, Karolinska Institutet, Stockholm, Sweden
| | - Rakhi Vashishtha
- Centre for Alcohol Policy Research, La Trobe University, Melbourne, Australia
- Health Services and Systems Research, Duke-NUS Medical School, Singapore
| | - Kirsten Rivelin
- Sheffield Addictions Research Group, School of Medicine and Population Health, University of Sheffield, Sheffield, UK
| | - John Holmes
- Sheffield Addictions Research Group, School of Medicine and Population Health, University of Sheffield, Sheffield, UK
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10
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Kovács N, Mahrouseh N, Monasta L, Andreella A, Campostrini S, Varga O. The diabetes mellitus comorbidity index in European Union member states based on the 2019 European Health Interview Survey. Sci Rep 2025; 15:512. [PMID: 39747538 PMCID: PMC11695628 DOI: 10.1038/s41598-024-84374-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2024] [Accepted: 12/23/2024] [Indexed: 01/04/2025] Open
Abstract
Multiple chronic conditions reduce the quality of life and increase healthcare needs for people with diabetes mellitus (DM). This study aims to describe the prevalence of comorbidities associated with DM in the European Union (EU) at national and sub-national levels and to assess the utility of a comorbidity burden index. The study was carried out using microdata from European Health Interview Survey 2019 including adults aged 25 and older with DM from 26 EU member states (n = 20,042). The comorbidity index was calculated for 9 chronic conditions using the self-rated general health of individuals and disability weights obtained from the Global Burden of Disease 2019. Beta regression analysis was performed to evaluate the association between the comorbidity index and several determinants. A higher comorbidity index was found in sub-populations exhibiting lower education, unemployment or other labour status, lower income, rural residence, and poor health behaviours including obesity, physical inactivity, and poor diet. A higher comorbidity burden was observed in Eastern and Southern European countries and specific subregions within each country. The comorbidity index has the potential to identify regions and subpopulations with the highest disability burden and to help develop interventions to improve the quality of life of people with DM.
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Affiliation(s)
- Nóra Kovács
- Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Nour Mahrouseh
- Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Lorenzo Monasta
- Institute for Maternal and Child Health - IRCCS Burlo Garofolo, Trieste, Italy
| | - Angela Andreella
- Department of Economics and Management, University of Trento, Trento, Italy
| | | | - Orsolya Varga
- Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
- Syreon Research Institute, Budapest, Hungary.
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11
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Causevic S, Ekström AM, Orsini N, Kagesten A, Strömdahl S, Salazar M. Prevalence and associated factors for poor mental health among young migrants in Sweden: a cross-sectional study. Glob Health Action 2024; 17:2294592. [PMID: 38180014 PMCID: PMC10773640 DOI: 10.1080/16549716.2023.2294592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 12/05/2023] [Indexed: 01/06/2024] Open
Abstract
BACKGROUND Young migrants face multiple challenges that can affect their mental, sexual and reproductive health. OBJECTIVE To assess the prevalence of self-reported poor mental health and its associated demographic, post-migration and sexual risk behaviour factors among young migrants (aged 15-25) in Sweden. METHODS Data were drawn from a cross-sectional survey conducted with migrants aged 15-65 years old in Sweden between December 2018 and November 2019 (n = 6449). Among these, 990 participants aged 15-25 were eligible for the study. Mental health was measured using the Refugee Health Screener-13. Missing data indicator analysis and multivariable logistic regression models were conducted to estimate the association between mental health, sexual risk behaviour, demographic and migration-related variables. RESULTS Of the 990 participants, 59% reported poor mental health. Participants reporting poor mental health were more likely to be female (AOR:1.63, 95% CI:1.18-2.25), to have lived in Sweden more than three years (AOR:2.16, 95% CI:1.17-3.97), to engage in any sexual risk behaviour (AOR:1.99, 95% CI:1.25-3.17), and to live alone (AOR:1.95, 95% CI:1.25-3.03) or with friends they already knew (AOR:1.60, 95% CI:1.37-4.91). People arriving from the Americas (AOR:0.54, 95% CI:0.33-0.88), Asia (AOR:0.44, 95% CI:0.22-0.86), Europe (AOR:0.30, 95% CI:0.14-0.61) and Africa (AOR 0.37, 95% CI: 0.23-0.60) had lower odds of poor mental health than those arriving from Syria. CONCLUSION The prevalence of poor mental health among young migrants in Sweden was high, with specific subgroups (women, asylum seekers, people arriving from Syria, and those residing longer in Sweden) being particularly vulnerable. Our results indicate the interconnectedness between poor mental health and sexual risk behaviour in this population. Thus, policies targeting young migrants should ensure that healthcare services screen for both poor sexual and mental health at the same time.
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Affiliation(s)
- Sara Causevic
- Department of Public Health Sciences, Stockholm University, Stockholm, Sweden
| | - Anna Mia Ekström
- Global and Sexual Health (GloSH) Research Group, Department of Global Public Health, Karolinska Institutet, Widerströmska huset, Stockholm, Sweden
- Department of Infectious Diseases, South Central Hospital, Stockholm, Sweden
| | - Nicola Orsini
- Global and Sexual Health (GloSH) Research Group, Department of Global Public Health, Karolinska Institutet, Widerströmska huset, Stockholm, Sweden
| | - Anna Kagesten
- Global and Sexual Health (GloSH) Research Group, Department of Global Public Health, Karolinska Institutet, Widerströmska huset, Stockholm, Sweden
| | - Susanne Strömdahl
- Global and Sexual Health (GloSH) Research Group, Department of Global Public Health, Karolinska Institutet, Widerströmska huset, Stockholm, Sweden
- Department of Medical Sciences, Infectious Medicine, Uppsala University, Uppsala, Sweden
- Swedish Public Health Agency, Stockholm, Sweden
| | - Mariano Salazar
- Global and Sexual Health (GloSH) Research Group, Department of Global Public Health, Karolinska Institutet, Widerströmska huset, Stockholm, Sweden
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12
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Sjöwall D, Stålhand F, Schettini G, Gustavsson P, Hirvikoski T. Global screening of health behaviors: Introducing Lev-screening (Lev-s)-development and psychometric evaluation. PLoS One 2024; 19:e0315565. [PMID: 39724222 DOI: 10.1371/journal.pone.0315565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2024] [Accepted: 11/27/2024] [Indexed: 12/28/2024] Open
Abstract
Poor health behaviors have been identified as a critical factor for the burden on healthcare systems and individual suffering. However, comprehensive assessment of health behaviors is time-consuming and often neglected. To address this, we introduce the Lev-screening (Lev-s), a new, brief tool that covers multiple health behaviors. The Lev-s assesses ten health behaviors-physical activity, diet, alcohol use, tobacco use, illegal drug use, sleep, social relations, meaningful activities, sexual health, and screen health-using 33 items. This article details the development and psychometric evaluation of Lev-s with a sample of 2,279 participants aged 18-87. Test-retest reliability estimated as intra-class correlation coefficients for the different health behaviors ranged from .71 to .98 (n = 157), indicating moderate to excellent reliability. Lev-s showed associations with quality of life, demonstrated inter-correlations among included health behaviors, and detected group differences between individuals with and without neurodevelopmental conditions. The Lev-s exhibits satisfactory psychometric properties and holds promise as an efficient tool for screening of health behaviors.
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Affiliation(s)
- Douglas Sjöwall
- Department of Women's and Children's Health, Pediatric Neuropsychiatry Unit, Center for Neurodevelopmental Disorders at Karolinska Institutet (KIND), Center for Psychiatry Research Karolinska Institutet, Stockholm, Sweden
- Habilitation and Health, Stockholm Health Care Services, Region Stockholm, Sweden
- Center for Neurodevelopmental Disorders at Karolinska Institutet (KIND), CAP Research Center, Region Stockholm, Sweden
- Division of Psychology, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | | | - Greta Schettini
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm Health Care Services, Region Stockholm, Sweden
- Centre for Dependency Disorders, Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Petter Gustavsson
- Division of Psychology, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Tatja Hirvikoski
- Department of Women's and Children's Health, Pediatric Neuropsychiatry Unit, Center for Neurodevelopmental Disorders at Karolinska Institutet (KIND), Center for Psychiatry Research Karolinska Institutet, Stockholm, Sweden
- Habilitation and Health, Stockholm Health Care Services, Region Stockholm, Sweden
- Center for Neurodevelopmental Disorders at Karolinska Institutet (KIND), CAP Research Center, Region Stockholm, Sweden
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13
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Elemo AS, Temtime MC. Risky behaviors in Ethiopian university students and its relationship with loneliness and coping self-efficacy. J Ethn Subst Abuse 2024:1-19. [PMID: 39648737 DOI: 10.1080/15332640.2024.2436892] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/10/2024]
Abstract
Research shows that risky behavior peaks in young adulthood, endangering young adult's mental health and making it difficult for them to grow up to be responsible members of society. As a result, this study aimed to adapt the Risk Behavior Scale into Amharic and examine the relationships between risky behaviors, loneliness, and coping self-efficacy. A cross-sectional research design was used and convenience sampling was employed to gather data from a total of 242 Ethiopian university students. Confirmatory Factor Analysis (CFA) was carried out to test the factor structures of the Risky Behaviors Scale. The CFA results validated the scale's four-factor structures (χ2 = 435, df = 183, (p < .001), CFI = 0.94, TLI = 0.91, RMSEA = 0.08, and SRMR =0.05). This would make it possible for mental health experts to research the psychological impacts of risky behaviors (alcohol use, suicidality, drug use, and khat use) in Ethiopian young adults. The findings of hierarchical regression analysis revealed that male gender and loneliness were predictors of risky behavior. This research holds significant implications for interventions that attempt to reduce loneliness in young adults to alter their vulnerabilities to risky behaviors.
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Affiliation(s)
- Aman Sado Elemo
- Department of Psychology, Istanbul Gelişim University, Istanbul, Türkiye
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14
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Haldemann M, Stojic S, Eriks-Hoogland I, Stoyanov J, Hund-Georgiadis M, Perret C, Glisic M. Exploring lifestyle components and associated factors in newly injured individuals with spinal cord injury. Spinal Cord 2024; 62:708-717. [PMID: 39379497 PMCID: PMC11621014 DOI: 10.1038/s41393-024-01039-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 09/11/2024] [Accepted: 09/24/2024] [Indexed: 10/10/2024]
Abstract
STUDY DESIGN Cross-sectional analysis from the Inception Cohort of the Swiss Spinal Cord Injury Study (SwiSCI). OBJECTIVES To describe five lifestyle components in newly injured individuals with spinal cord injury (SCI), explore co-occurrence of these components, and identify associated personal and clinical factors. SETTINGS Initial rehabilitation stay following traumatic and non-traumatic SCI. METHODS Lifestyle components including overweight/obesity, low diet score, physical inactivity, smoking, and alcohol consumption were used independently and to calculate a composite lifestyle score. Analyses were conducted using descriptive statistics, co-occurrence analysis, and multivariate logistic regression. RESULTS We included 251 individuals, of whom 77.7% were male, 73.7% suffered from traumatic SCI, and 59.8% had paraplegia. The median age was 51 years (IQR 36-64). Approximately twelve weeks after the injury, more than two-thirds of the study population met the criteria for overweight/obesity, and consumed insufficient amounts of fruits and vegetables, and excessive amounts of meat. Alcohol was consumed by 85.3% of individuals, and 26.8% were current smokers. Almost all study participants met the physical activity guidelines (90 min of moderate to strenuous activity physical activity per week). One-quarter of study participants experienced the co-occurrence of overweight/obesity, low diet score and alcohol consumption. Female sex, younger age and higher education were associated with healthier lifestyle components. CONCLUSION Despite methodological limitations, this study underscores the complexities of healthy lifestyle adherence among individuals newly injured with SCI. It highlights the necessity of improving and implementing screening strategies throughout the continuum of SCI care as early as possible following the trauma.
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Affiliation(s)
- Muriel Haldemann
- University of Bern, Institute of Social and Preventive Medicine (ISPM), Advanced Study Program Public Health, Bern, Switzerland
| | | | - Inge Eriks-Hoogland
- Swiss Paraplegic Research, Nottwil, Switzerland
- University of Lucerne, Faculty of Health Sciences and Medicine, Lucerne, Switzerland
| | - Jivko Stoyanov
- Swiss Paraplegic Research, Nottwil, Switzerland
- Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland
| | | | - Claudio Perret
- Swiss Paraplegic Research, Nottwil, Switzerland
- University of Lucerne, Faculty of Health Sciences and Medicine, Lucerne, Switzerland
| | - Marija Glisic
- Swiss Paraplegic Research, Nottwil, Switzerland.
- Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland.
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15
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Hossain MM, Roy A, Hanif AAM, Akter F, Hasan M, Khan MSA, Shamim AA, Hossaine M, Ullah MA, Rahman SMM, Bulbul MI, Mitra DK, Mridha MK. Distribution and disparities of healthy lifestyles and noncommunicable diseases risk factors between men and women aged 20-59 years in Bangladesh: Evidence from a nationwide survey. Chronic Dis Transl Med 2024; 10:312-326. [PMID: 39429481 PMCID: PMC11483543 DOI: 10.1002/cdt3.145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 06/27/2024] [Accepted: 07/09/2024] [Indexed: 10/22/2024] Open
Abstract
Background Noncommunicable diseases (NCDs) are public health threats globally and recognized impediments to socioeconomic development. This study aimed to identify the prevalence and clustering of NCDs risk factors among Bangladeshi men and women aged 20-59 years using nationally representative data. Methods This study was conducted in 82 rural, nonslum urban, and slum clusters across all eight administrative divisions of Bangladesh using multistage cluster sampling. A total of 4917 men and 4905 women aged 20-59 years were included in the study. Descriptive analyses were performed to report the prevalence and distribution of behavioral and clinical risk factors. Multivariable binary logistic regression was performed to identify factors associated with the coexistence of three or more NCD risk factors. Results The prevalence of tobacco use (any form), insufficient physical activity, inadequate fruit and vegetable consumption, overweight and obesity, and central obesity were 38.3%, 13.6%, 87.1%, 42.3%, and 36.0%, respectively. Furthermore, 21.9% and 4.9% participants had hypertension and self-reported diabetes, respectively. Regarding the clustering of risk factors, 37.1% men and 50.8% women had at least three NCD risk factors. Only 3.0% men and 1.8% women reported no NCD risk factors. Age, place of residence, education, and wealth status were associated with the presence of at least three risk factors for both sexes. Conclusion Since a large proportion of Bangladeshi 20-59 years old population had multiple risk factors, population-based programs with multisectoral approaches are essential to reduce NCDs among Bangladeshi women and men.
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Affiliation(s)
- Md. Mokbul Hossain
- Center for Non‐communicable Diseases and Nutrition, BRAC James P Grant School of Public HealthBRAC UniversityDhakaBangladesh
| | - Abhijeet Roy
- Center for Non‐communicable Diseases and Nutrition, BRAC James P Grant School of Public HealthBRAC UniversityDhakaBangladesh
| | - Abu Abdullah Mohammad Hanif
- Center for Non‐communicable Diseases and Nutrition, BRAC James P Grant School of Public HealthBRAC UniversityDhakaBangladesh
| | - Fahmida Akter
- Center for Non‐communicable Diseases and Nutrition, BRAC James P Grant School of Public HealthBRAC UniversityDhakaBangladesh
| | - Mehedi Hasan
- Center for Non‐communicable Diseases and Nutrition, BRAC James P Grant School of Public HealthBRAC UniversityDhakaBangladesh
| | - Md. Showkat Ali Khan
- Center for Non‐communicable Diseases and Nutrition, BRAC James P Grant School of Public HealthBRAC UniversityDhakaBangladesh
| | - Abu Ahmed Shamim
- Center for Non‐communicable Diseases and Nutrition, BRAC James P Grant School of Public HealthBRAC UniversityDhakaBangladesh
| | - Moyazzam Hossaine
- Center for Non‐communicable Diseases and Nutrition, BRAC James P Grant School of Public HealthBRAC UniversityDhakaBangladesh
| | - Mohammad Aman Ullah
- National Nutrition Services (NNS), Directorate General of Health ServicesGovernment of BangladeshDhakaBangladesh
| | - S. M. Mustafizur Rahman
- National Nutrition Services (NNS), Directorate General of Health ServicesGovernment of BangladeshDhakaBangladesh
| | - Mofijul Islam Bulbul
- National Nutrition Services (NNS), Directorate General of Health ServicesGovernment of BangladeshDhakaBangladesh
| | | | - Malay Kanti Mridha
- Center for Non‐communicable Diseases and Nutrition, BRAC James P Grant School of Public HealthBRAC UniversityDhakaBangladesh
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16
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Noonan A, Tierney A, Norton C, Ng K, Woods C. Prevalence of health-related behaviours and associated factors in university students in Ireland: a 4-year repeated cross-sectional study. BMJ PUBLIC HEALTH 2024; 2:e001514. [PMID: 40018568 PMCID: PMC11816961 DOI: 10.1136/bmjph-2024-001514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/27/2024] [Accepted: 11/11/2024] [Indexed: 03/01/2025]
Abstract
Background Transitioning to higher education (HE) has been highlighted as a critical time to embed positive health-related behaviours (HRBs). However, there has been a long-standing association between student life and risk-taking. This study aimed to (1) identify the prevalence of HRBs over time in cohorts of HE students in Ireland, (2) establish an overall health index and analyse the health-related status of HE students and associated factors based on this index and (3) explore student perspectives towards public health interventions. Methods Using an anonymous, repeated measures, cross-sectional study design, 4 years of data were gathered and analysed from a student sample (N (final)=3221). A series of Pearson's χ2, t-tests and one-way analysis of variance tests followed by linear regression analysis were performed to determine the individual and combined associations between participant characteristics and health scores. Results There were notable unfavourable patterns over time in all HRBs, except tobacco use, which indicated a declining trend. Factors associated with lower health index scores included identifying as female, living at home, higher socioeconomic status, studying in the arts humanities and social sciences field and having a higher body mass index. Most students reported they would avail of an intervention on drug use (78.1%, 95% CI 0.77% to 0.80%), alcohol consumption (75.7%, 95% CI 0.74% to 0.77%), tobacco use (67.3%, 95% CI 0.66% to 0.69%) and mental health (65.4%, 95% CI 0.64% to 0.67%) if they felt that they needed to. Conclusions This study demonstrates a clear rationale for providing health-enhancing behavioural interventions for students in HE settings. Outcomes may be of interest to educationalists, policy-makers and health-promotion experts.
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Affiliation(s)
- Aoife Noonan
- Department of Physical Education and Sport Sciences, University of Limerick, Limerick, Ireland
| | - Audrey Tierney
- School of Allied Health, University of Limerick, Limerick, Ireland
| | - Catherine Norton
- Department of Physical Education and Sport Sciences, University of Limerick, Limerick, Ireland
| | - Kwok Ng
- Department of Physical Education and Sport Sciences, University of Limerick, Limerick, Ireland
- Institute of Innovation and Sports Science, Lithuanian Sports University, Kaunas, Lithuania
- Faculty of Education, University of Turku, Rauma, Finland
| | - Catherine Woods
- Department of Physical Education and Sport Sciences, University of Limerick, Limerick, Ireland
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17
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Xue J, Huang H, Zhou C, Feng W, Ge Y, Hu Y. Patterns of adverse childhood experiences and their associations with depression, life satisfaction and short-form video addiction in Chinese college students. CHILD ABUSE & NEGLECT 2024; 158:107091. [PMID: 39454405 DOI: 10.1016/j.chiabu.2024.107091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Revised: 09/09/2024] [Accepted: 10/07/2024] [Indexed: 10/28/2024]
Abstract
BACKGROUND Adverse childhood experiences (ACEs) are widespread in East Asia, heightening the susceptibility to psychological and behavioral complications in adulthood. OBJECTIVE To identify polyvictimization patterns among Chinese college students and investigate the associations between diverse patterns and symptoms of depression, short-form video addiction (SVA), and life satisfaction. PARTICIPANTS AND SETTING This study encompassed 13,307 college students from four urban centers in China (Mage = 20.2; 46.4 % female). METHODS Latent class analysis (LCA) was employed to discern patterns of ACEs among college students. The three-step method (R3step) was utilized to explore the influence of demographic characteristics on the distribution of latent classes. Additionally, the automatic Bolck-Croon-Hagenaars (BCH) Method was deployed to investigate the latent classes effect on distal outcomes. RESULTS Left-behind experience was the most common ACE among Chinese college students. Four ACEs patterns were identified: 1) No/Very Low ACEs class (N = 8936, 67.2 %); 2) Parental Absence class (N = 430, 3.2 %); 3) Low/Moderate ACEs class (N = 3565, 26.8 %); and 4) High Violence and Left-behind class (N = 376, 2.8 %). The findings revealed a progressive escalation in healthy outcomes associated with the four ACEs patterns. Specifically, from the first class to the fourth, the severity of associated consequences (depression, life satisfaction and SVA) intensified. CONCLUSIONS Distinct ACEs patterns correlate with varying degrees of mental health issues. Compared to participants solely separated from parents, those exposed to abuse and neglect demonstrate more pronounced mental health challenges and addiction susceptibilities.
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Affiliation(s)
- Jiao Xue
- Department of Psychology, Institute of Education, China University of Geosciences, Wuhan, China; Wuhan Mental Health Center, Wuhan, China
| | - Hai Huang
- Department of Psychology, Institute of Education, China University of Geosciences, Wuhan, China; Wuhan Mental Health Center, Wuhan, China.
| | - Chunyan Zhou
- Department of Psychology, Institute of Education, China University of Geosciences, Wuhan, China; Wuhan Mental Health Center, Wuhan, China
| | - Wenting Feng
- Department of Psychology, Institute of Education, China University of Geosciences, Wuhan, China; Wuhan Mental Health Center, Wuhan, China
| | - Yanwei Ge
- Mental Health Education Center, China Jiliang University, Hang Zhou, China
| | - Yue Hu
- Student Mental Health and Counseling Center, Sichuan International Studies University, Chongqing, China
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18
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Rahman T, Kong FYS, Williams R, Davis K, Whitby J, Eades F, Graham S, Joshy G, Eades S. Increasing awareness of sexually transmitted infections (STI) testing and addressing stigma may improve STI testing in Aboriginal and Torres Strait Islander youth: Evidence from the Next Generation Youth Wellbeing Study. Aust N Z J Public Health 2024; 48:100203. [PMID: 39550915 DOI: 10.1016/j.anzjph.2024.100203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2024] [Revised: 10/01/2024] [Accepted: 10/18/2024] [Indexed: 11/19/2024] Open
Abstract
OBJECTIVE To quantify the prevalence of sexually transmitted infections (STI) testing in relation to sociodemographic, behavioural, and health related factors, and patterns in sexual health service (SHS) use and non-use among Aboriginal and Torres Strait Islander (hereafter Aboriginal) youth. METHODS The analyses included N=198 sexually active 16-24-year-olds from Central Australia, Western Australia, and New South Wales participating in the Next Generation Youth Wellbeing Study. Modified Poisson regression estimated age-sex-adjusted prevalence ratios (PRs) for ever testing for STIs. RESULTS Approximately 55% of the participants ever tested for STIs. Over 44% of the participants ever accessed SHS; perceived irrelevance (50%) and embarrassment (15%) were the main reasons for not accessing SHS. STI testing was higher among: 21-24-year-olds (68.75% vs 37.04% among 16-17-year-olds, PR: 1.82; confidence interval 1.23-2.67); those with high/very-high psychological distress (63.39% vs 44.55% among low/moderate group, 1.50;1.16-1.94); and those who lived in ≥3 houses in the past five years (65.43% vs 48.11% among those who lived in 1-2 houses, 1.33;1.04-1.70). CONCLUSIONS STI testing should be offered to sexually active Aboriginal youth at every opportunity. IMPLICATIONS FOR PUBLIC HEALTH Sexual health messages should further promote the benefit of regular STI testing and where to access free SHS among Aboriginal youth.
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Affiliation(s)
| | | | | | - Katiska Davis
- The University of Melbourne, Victoria 3053, Australia
| | | | - Francine Eades
- East Metropolitan Health Service, Western Australia 6000, Australia
| | - Simon Graham
- Poche Centre for Indigenous Health, The University of Sydney, New South Wales 2050, Australia
| | - Grace Joshy
- The Australian National University, Australian Capital Territory 2601, Australia
| | - Sandra Eades
- The University of Melbourne, Victoria 3053, Australia
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Pérez-Vega KA, Lassale C, Zomeño MD, Castañer O, Salas-Salvadó J, Basterra-Gortari FJ, Corella D, Estruch R, Ros E, Tinahones FJ, Blanchart G, Malcampo M, Muñoz-Aguayo D, Schröder H, Fitó M, Hernáez Á. Breakfast energy intake and dietary quality and trajectories of cardiometabolic risk factors in older adults. J Nutr Health Aging 2024; 28:100406. [PMID: 39504618 DOI: 10.1016/j.jnha.2024.100406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2024] [Revised: 10/21/2024] [Accepted: 10/25/2024] [Indexed: 11/08/2024]
Abstract
OBJECTIVES Not skipping breakfast is associated with a better overall diet quality and lower cardiometabolic risk. However, the impact of calorie intake and dietary quality of breakfast on cardiovascular health remains unexplored. We aimed to study the associations between breakfast energy intake and quality and time trajectories of cardiometabolic traits in high cardiovascular risk participants. DESIGN Prospective observational exploratory study with repeated measurements. SETTING Spanish older adults. PARTICIPANTS 383 participants aged 55-75 with metabolic syndrome from PREDIMED-Plus, a clinical trial involving a weight-loss lifestyle intervention based on the Mediterranean diet. MEASUREMENTS Participants were followed for 36 months. Longitudinal averages of breakfast energy intake and quality were calculated. Three categories were defined for energy intake: 20-30% (reference), <20% (low), and >30% (high). Quality was estimated using the Meal Balance Index; categories were above (reference) or below the median score (low). Natural cubic spline mixed effects regressions described trajectories of cardiometabolic indicators (anthropometry, blood pressure, lipids, glucose, glycated hemoglobin, and kidney function) in breakfast groups. Inter-group differences in predicted values were estimated by linear regressions. Analyses were adjusted for age, sex, PREDIMED-Plus intervention group, education, smoking, physical activity, and total daily kilocalorie intake. Lipid profile analyses were further adjusted for baseline hypercholesterolemia, blood pressure analyses for baseline hypertension, and glucose/glycated hemoglobin analyses for baseline diabetes. Breakfast energy intake analyses were adjusted for breakfast quality, and vice versa. RESULTS At 36 months, compared to the reference, low- or high-energy breakfasts were associated with differences in body mass index (low: 0.61 kg/m² [95% confidence interval: 0.19; 1.02]; high: 1.18 kg/m² [0.71; 1.65]), waist circumference (low: 2.22 cm [0.96; 3.48]; high: 4.57 cm [3.13; 6.01]), triglycerides (low: 13.8 mg/dL [10.8; 16.8]; high: 28.1 cm [24.7; 31.6]), and HDL cholesterol (low: -2.13 mg/dL [-3.41; -0.85]; high: -4.56 mg/dL [-6.04; -3.09]). At 36 months, low-quality breakfast was associated with higher waist circumference (1.50 cm [0.53; 2.46]), and triglycerides (5.81 mg/dL [3.50; 8.12]) and less HDL cholesterol (-1.66 mg/dL [-2.63; -0.69]) and estimated glomerular filtration rate (-1.22 mL/min/1.73m2 [-2.02; -0.41]). CONCLUSIONS Low- or high-energy and low-quality breakfasts were associated with higher adiposity and triglycerides, and lower HDL cholesterol in high-risk older adults. Low-quality breakfasts were also linked to poorer kidney function.
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Affiliation(s)
- Karla-Alejandra Pérez-Vega
- Hospital del Mar Research Institute (IMIM), Carrer Doctor Aiguader 88, 08003 Barcelona, Spain; Consorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Avenida Monforte de Lemos 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain; PhD Program in Food Science and Nutrition, Universitat de Barcelona, Campus Diagonal, Avinguda Joan XXIII 27-31, 08028 Barcelona, Spain
| | - Camille Lassale
- Hospital del Mar Research Institute (IMIM), Carrer Doctor Aiguader 88, 08003 Barcelona, Spain; Consorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Avenida Monforte de Lemos 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain; Barcelona Institute for Global Health (ISGlobal), Carrer Doctor Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Carrer Ramon Trias Fargas 25-27, 08005 Barcelona, Spain
| | - María-Dolores Zomeño
- Hospital del Mar Research Institute (IMIM), Carrer Doctor Aiguader 88, 08003 Barcelona, Spain; Consorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Avenida Monforte de Lemos 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain; Blanquerna School of Health Sciences, Universitat Ramon Llull, Carrer Padilla 326, 08025 Barcelona, Spain
| | - Olga Castañer
- Hospital del Mar Research Institute (IMIM), Carrer Doctor Aiguader 88, 08003 Barcelona, Spain; Consorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Avenida Monforte de Lemos 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain
| | - Jordi Salas-Salvadó
- Consorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Avenida Monforte de Lemos 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquimica i Biotecnologia, Alimentaciò, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Carrer Sant Llorenç 21, 43201 Reus, Spain; Institut d'Investigació Pere Virgili, Carrer Sant Llorenç 21, 43201 Reus, Spain
| | - F Javier Basterra-Gortari
- University of Navarra, Department of Preventive Medicine and Public Health, IdiSNA, Calle Irunlarrea 1, 31008 Pamplona, Spain; Department of Endocrinology and Nutrition, Hospital Universitario de Navarra, IdiSNA, Universidad Pública de Navarra, Calle Irunlarrea 3, 31008 Pamplona, Spain
| | - Dolores Corella
- Consorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Avenida Monforte de Lemos 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain; Department of Preventive Medicine, Universidad de Valencia, Avinguda Vicent Andrés Estellés s/n, 46100 Valencia, Spain
| | - Ramón Estruch
- Consorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Avenida Monforte de Lemos 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain; Internal Medicine Service, Hospital Clinic, Carrer Villarroel 170, 08036 Barcelona, Spain; August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Carrer Rosselló 149, 08036 Barcelona, Spain
| | - Emilio Ros
- Consorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Avenida Monforte de Lemos 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain; August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Carrer Rosselló 149, 08036 Barcelona, Spain
| | - Francisco J Tinahones
- Consorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Avenida Monforte de Lemos 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain; Virgen de la Victoria Hospital, Department of Endocrinology, Biomedical Research Institute of Málaga, University of Málaga, Campus de Teatinos s/n, 29010 Málaga, Spain
| | - Gemma Blanchart
- Hospital del Mar Research Institute (IMIM), Carrer Doctor Aiguader 88, 08003 Barcelona, Spain
| | - Mireia Malcampo
- Hospital del Mar Research Institute (IMIM), Carrer Doctor Aiguader 88, 08003 Barcelona, Spain; Consorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Avenida Monforte de Lemos 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain
| | - Daniel Muñoz-Aguayo
- Hospital del Mar Research Institute (IMIM), Carrer Doctor Aiguader 88, 08003 Barcelona, Spain; Consorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Avenida Monforte de Lemos 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain
| | - Helmut Schröder
- Hospital del Mar Research Institute (IMIM), Carrer Doctor Aiguader 88, 08003 Barcelona, Spain; Consorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Avenida Monforte de Lemos 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain
| | - Montserrat Fitó
- Hospital del Mar Research Institute (IMIM), Carrer Doctor Aiguader 88, 08003 Barcelona, Spain; Consorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Avenida Monforte de Lemos 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain
| | - Álvaro Hernáez
- Hospital del Mar Research Institute (IMIM), Carrer Doctor Aiguader 88, 08003 Barcelona, Spain; Blanquerna School of Health Sciences, Universitat Ramon Llull, Carrer Padilla 326, 08025 Barcelona, Spain; Consorcio Centro de Investigación Biomédica En Red (CIBER), M.P. Enfermedades Cardiovasculares (CIBERCV), Instituto de Salud Carlos III, Avenida Monforte de Lemos 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain.
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Wasnyo Y, Tatah L, Wayas FA, Mapa-Tassou C, Luan J, Micklesfield LK, Smith JA, Farr C, Foley L, Lambert EV, Mbanya JC, Assah F, Oni T. Clustering of diet and physical activity behaviours in adolescents across home and school area-level deprivation in Cameroon, South Africa, and Jamaica. BMC Public Health 2024; 24:3234. [PMID: 39574052 PMCID: PMC11580344 DOI: 10.1186/s12889-024-20683-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2024] [Accepted: 11/08/2024] [Indexed: 11/25/2024] Open
Abstract
BACKGROUND Adolescence is a crucial period for establishing healthy behaviours that can reduce the risk of noncommunicable diseases. However, limited data exist on the clustering of health-related behaviours, in adolescents from low- and middle-income countries (LMICs). This study examined how diet and physical activity behaviours cluster and how they are influenced by home and school area-level deprivation. METHODS The study surveyed 527 adolescents in Yaoundé (Cameroon), Kingston (Jamaica), and Cape Town (South Africa) and grouped them into three categories according to the socioeconomic status (SES) of their homes and school areas (low-low, low-high, and high-high). A k-median algorithm defined three clusters and measured dietary attributes including Dietary Habit Score (DHS), Healthy Food Score (HFS), Nutritional Knowledge Questionnaire (NKQ), moderate-to-vigorous physical activity (MVPA), and sedentary time using validated questionnaires. The clusters were ranked based on their physical activity levels and compared them within each city using statistical tests. RESULTS The scores on the NKQ and HFS indicated a poor level of both nutritional knowledge and healthy food consumption across sites. Cluster analysis revealed a consistent pattern of high screen time clustering with lower (less healthy) dietary scores across sites. This pattern was consistent regardless of SES in Kingston, and SES and school socioeconomic areas in Cape Town and Yaoundé. CONCLUSION An inverse clustering of sedentary behaviour duration and eating habits remained consistent across different strata for at least two sites, suggesting that interventions to reduce sedentary time could have a ripple effect on multiple NCD risk factors in adolescence.
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Affiliation(s)
- Yves Wasnyo
- Health of Population in Transition, University of Yaoundé 1, Yaounde, Cameroon.
| | - Lambed Tatah
- Health of Population in Transition, University of Yaoundé 1, Yaounde, Cameroon
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Feyisayo A Wayas
- Department of Human Biology, Division of Physiological Sciences, Research Centre for Health through Physical Activity, Lifestyle and Sport (HPALS), Faculty of Health Sciences, University of Cape Town, Cape Town, 7700, South Africa
| | - Clarisse Mapa-Tassou
- Health of Population in Transition, University of Yaoundé 1, Yaounde, Cameroon
- Faculty of Medicine and Pharmacological Sciences, University of Dschang, Dschang, Cameroon
| | - Jian'an Luan
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Lisa K Micklesfield
- SAMRC-Wits Developmental Pathways for Health Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Joanne A Smith
- Epidemiology Research Unit, Caribbean Institute for Health Research, The University of the West Indies, Mona, Kingston, Jamaica
| | - Colin Farr
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Louise Foley
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Estelle V Lambert
- Department of Human Biology, Division of Physiological Sciences, Research Centre for Health through Physical Activity, Lifestyle and Sport (HPALS), Faculty of Health Sciences, University of Cape Town, Cape Town, 7700, South Africa
| | - Jean Claude Mbanya
- Health of Population in Transition, University of Yaoundé 1, Yaounde, Cameroon
| | - Felix Assah
- Health of Population in Transition, University of Yaoundé 1, Yaounde, Cameroon
| | - Tolu Oni
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
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21
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Zhang X, Wang S, Yang Q, Zheng R, Wang L, Lin H, Wang S, Li M, Wang T, Zhao Z, Lu J, Xu M, Chen Y, Zheng J, Dai M, Zhang D, Wang W, Ning G, Bi Y, Xu Y. Sex Difference and Socioeconomic Inequity in Chinese People With Hypertension: National Cross-Sectional Survey Study. JMIR Public Health Surveill 2024; 10:e63144. [PMID: 39621934 PMCID: PMC11611794 DOI: 10.2196/63144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2024] [Revised: 08/18/2024] [Accepted: 08/18/2024] [Indexed: 12/06/2024] Open
Abstract
Background Sex differences in blood pressure (BP) levels and hypertension are important and the role of socioeconomic status (SES) in sex differences in hypertension remains unclear. Objective This study aimed to evaluate the impact of SES on sex differences of hypertension in a nationally representative survey study. Methods A total of 98,658 participants aged ≥18 years who have lived in their current residence for ≥6 months were recruited from 162 study sites across mainland China. Sex was self-reported. Individual-level SES included the highest level of education and annual household income. Area-level SES included economic development status, urban/rural residency, and north/south location. Outcomes included levels of systolic and diastolic BP, and hypertension. Linear and Cox regression models were used to examine the associations between sex (women vs men) and BP characteristics stratified by individual or combined SES indicators. Results Systolic and diastolic BP levels and the prevalence of hypertension were higher in men than in women. This sex difference was found across categories of SES with widened sex disparities in participants having more favorable SES. Significant multiplicative interaction effects of SES on the association of sex with BP characteristics were found. Women with improving SES were associated with lower BP and hypertension prevalence compared to men. For combined SES, a 9% (prevalence ratio 0.91, 95% CI 0.83-0.98) and a 30% lower probability (prevalence ratio 0.70, 95% CI 0.63-0.78) of having hypertension were found in women with an overall intermediate SES and high SES, respectively, compared to those with low SES, while no significant reduction was found in men. Conclusions There are significant sex differences in BP characteristics and SES has a potent impact on the disparities. Sex-specific public health policies to alleviate socioeconomic inequalities, especially in women are important for the prevention of hypertension.
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Affiliation(s)
- Xiaoyun Zhang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Clinical Research Center for Metabolic Diseases (Shanghai), Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Research Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Siyu Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Clinical Research Center for Metabolic Diseases (Shanghai), Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Research Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qianqian Yang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Clinical Research Center for Metabolic Diseases (Shanghai), Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Research Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ruizhi Zheng
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Clinical Research Center for Metabolic Diseases (Shanghai), Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Research Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Long Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Clinical Research Center for Metabolic Diseases (Shanghai), Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Research Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hong Lin
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Clinical Research Center for Metabolic Diseases (Shanghai), Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Research Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shuangyuan Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Clinical Research Center for Metabolic Diseases (Shanghai), Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Research Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Clinical Research Center for Metabolic Diseases (Shanghai), Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Research Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Clinical Research Center for Metabolic Diseases (Shanghai), Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Research Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Clinical Research Center for Metabolic Diseases (Shanghai), Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Research Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Clinical Research Center for Metabolic Diseases (Shanghai), Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Research Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Clinical Research Center for Metabolic Diseases (Shanghai), Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Research Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuhong Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Clinical Research Center for Metabolic Diseases (Shanghai), Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Research Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jie Zheng
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Clinical Research Center for Metabolic Diseases (Shanghai), Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Research Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Meng Dai
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Clinical Research Center for Metabolic Diseases (Shanghai), Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Research Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Di Zhang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Clinical Research Center for Metabolic Diseases (Shanghai), Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Research Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Clinical Research Center for Metabolic Diseases (Shanghai), Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Research Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Clinical Research Center for Metabolic Diseases (Shanghai), Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Research Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Clinical Research Center for Metabolic Diseases (Shanghai), Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Research Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Clinical Research Center for Metabolic Diseases (Shanghai), Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Research Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Alzahrani SG, Rijhwani K, Sabbah W. Health-risk behaviours co-occur among adults with tooth loss. Int J Dent Hyg 2024; 22:857-862. [PMID: 38536961 DOI: 10.1111/idh.12800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 02/14/2024] [Accepted: 03/19/2024] [Indexed: 10/11/2024]
Abstract
INTRODUCTION Health-risk behaviours tend to co-occur among the same sectors of the population. The aim of this study is to examine the association between an aggregate of multiple health-risk behaviours and tooth loss among American Adults. METHODS We used data from the Behavioural Risk Factor Surveillance System (BRFSS) 2022, a nationally representative survey of non-institutionalized American. We included participants aged 18 years and older. An aggregate variable of health-risk behaviours which included smoking, heavy alcohol consumption, lack of physical activities, overweight/obesity, infrequent dental visits and infrequent medical check-up was created. Tooth loss was indicated by losing one tooth or more. Logistic Regression analysis was conducted to test the association between the aggregate of behaviours and tooth loss adjusting for income, education, ethnicity and health insurance. RESULTS The analysis included 326,561 participants. The mean number of health-risk behaviours was 2.13 and 1.72 among participants with tooth loss and without tooth loss, respectively. The aggregate of health-risk behaviours was significantly associated with tooth loss with odds ratios 1.23 (95% CI, 1.21, 1.26) in a model adjusting for age, gender, education, income ethnicity and health insurance. CONCLUSION This study demonstrated that an aggregate of health-risk behaviours, with some not directly linked to oral health, is associated with tooth loss among American adults. The study highlights the importance of considering different risk factors when planning health promotion policies to tackle oral health.
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Affiliation(s)
- Saeed G Alzahrani
- Department of Family and Community Medicine, College of Medicine, Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia
| | - Kavita Rijhwani
- Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, UK
| | - Wael Sabbah
- Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, UK
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23
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Choi S, Shin H, Susmarini D. Comparative study on health behaviors among adolescents with chronic allergic disease before and during COVID-19 using data from the Korean Youth Health Panel Surveys. BMC Public Health 2024; 24:2765. [PMID: 39390420 PMCID: PMC11465622 DOI: 10.1186/s12889-024-20009-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 09/06/2024] [Indexed: 10/12/2024] Open
Abstract
BACKGROUND This study aimed to investigate the changes in the health behaviors and subjective health perception of adolescents with chronic allergic disease, including atopic dermatitis, asthma, and allergic rhinitis, amidst the coronavirus disease 2019 (COVID-19) pandemic in South Korea. METHODS This study used the 15th (2019) and 17th (2021) raw data obtained from the Korea Youth Risk Behavior Web-based Survey (KYRBWS), conducted by the Ministry of Health and Welfare of South Korea. Data were analyzed using multiple logistic regression with complex sampling using weighted values. Odds ratios with 95% confidence intervals for six health behaviors and subjective health perception were used as the major variables. RESULTS Six health behaviors (dietary habits, weight gain, smoking, alcohol consumption, sleep time, and physical activity) changed substantially during COVID-19. There was an increase in the duration of sedentary activities, a slight increase in BMI, and improvements in mental health. Concurrently, there was a decrease in alcohol consumption, sleep duration, and the consumption of sweetened beverages. Despite these improvements in big six health behaviors, adolescents with chronic illnesses continue to perceive themselves as unhealthy. CONCLUSIONS These findings suggest that the follow-up and monitoring of health behaviors and subjective health perception in adolescents with chronic allergic diseases during the COVID-19 pandemic are necessary. Understanding the mechanisms underlying sustained behavioral change can inform the development of interventions to promote healthy behavior after the pandemic has passed.
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Affiliation(s)
- Sunyeob Choi
- College of Nursing, Dongguk University-WISE, 123 Dongdae-ro, Gyeongju Gyeongbuk, South Korea
| | - Hyewon Shin
- College of Nursing, Ewha Womans Universtiy, 52, Ewhayeodae-gil, Seodaemun-gu, South Korea.
| | - Dian Susmarini
- College of Nursing, Ewha Womans Universtiy, 52, Ewhayeodae-gil, Seodaemun-gu, South Korea
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24
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Salmela J, Lallukka T, Mäki-Opas T, Vähäsarja L, Salonsalmi A. The mediating role of behavioral risk factors in the pathway between childhood disadvantage and adult psychological distress in a Finnish employee cohort. Sci Rep 2024; 14:23422. [PMID: 39379440 PMCID: PMC11461862 DOI: 10.1038/s41598-024-74012-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2024] [Accepted: 09/23/2024] [Indexed: 10/10/2024] Open
Abstract
Childhood disadvantage is associated with increased adult psychological distress, but the role of behavioral risk factors in the pathway remains unclear. We examined whether behavioral risk factors mediate the effects of childhood disadvantage on adult psychological distress. We used the Helsinki Health Study data of employees of the City of Helsinki, Finland, aged 19-39 (mean age 32.0) years at baseline (2017). We included women (n = 2397) and men (n = 586) who responded to both baseline and follow-up (2022) surveys. At baseline, eight types of childhood disadvantage were asked retrospectively, and six adult behavioral risk factors were included. Psychological distress was measured by the DASS-21 at follow-up. We conducted mediation analyses using generalized structural equation modeling. Among women, we found indirect path effects of childhood disadvantage on adult psychological distress through behavioral risk factors (symptoms of depression: β = 0.68, 95% CI 0.20-1.17; anxiety: β = 0.54, 95% CI 0.13-0.95; and stress: β = 0.69, 95% CI 0.20-1.09). Among men, childhood disadvantage contributed only directly to adult depressive (β = 0.71, 95% CI 0.16-1.26) and stress (β = 0.61, 95% CI 0.10-1.13) symptoms. Our findings suggest that behavioral risk factors can mediate some of the adverse effects of childhood disadvantage on adult psychological distress among women.
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Affiliation(s)
- Jatta Salmela
- Department of Public Health, University of Helsinki, Tukholmankatu 8 B, PO BOX 20, 00014, Helsinki, Finland.
| | - Tea Lallukka
- Department of Public Health, University of Helsinki, Tukholmankatu 8 B, PO BOX 20, 00014, Helsinki, Finland
| | - Tomi Mäki-Opas
- Department of Social Sciences, University of Eastern Finland, Kuopio, Finland
- Wellbeing Services Research Centre, North Savo Wellbeing Services County, Kuopio, Finland
| | - Luka Vähäsarja
- Department of Public Health, University of Helsinki, Tukholmankatu 8 B, PO BOX 20, 00014, Helsinki, Finland
| | - Aino Salonsalmi
- Department of Public Health, University of Helsinki, Tukholmankatu 8 B, PO BOX 20, 00014, Helsinki, Finland
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25
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Klompstra L, Löf M, Björkelund C, Hellenius ML, Kallings LV, Orho-Melander M, Wennberg P, Bendtsen P, Bendtsen M. Co-occurrence of unhealthy lifestyle behaviours in middle-aged adults: findings from the Swedish CArdioPulmonary bioImage Study (SCAPIS). Sci Rep 2024; 14:22853. [PMID: 39353999 PMCID: PMC11445527 DOI: 10.1038/s41598-024-71092-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Accepted: 08/23/2024] [Indexed: 10/03/2024] Open
Abstract
Middle-aged adults engaging in unhealthy lifestyle behaviors are at higher risk of chronic diseases. However, little is known about the co-occurrence of these behaviors and their determinants. This cohort study examined the co-occurrence of unhealthy lifestyle behaviors (alcohol consumption, diet, physical inactivity, and smoking) in 30,154 middle-aged adults and their associations with sociodemographic factors, social support, and disease history. Alcohol use was measured by the AUDIT, diet by the MiniMeal-Q, and physical inactivity and smoking by single questions. Participants had a mean age of 58 years, with 51% being female. Of them, 14% had no unhealthy behaviors, 38% had one, 36% had two, 10% had three, and 2% had all four. The most common co-occurrence was between physical inactivity and poor diet (38%). Higher education decreased the likelihood of having three or four unhealthy behaviors, while financial difficulties, having no one around who appreciated one's efforts, and suffering of a lung disease increased it. In conclusion, middle-aged adults exhibit varying levels of unhealthy lifestyle behaviors. Higher education is linked to reduced engagement in multiple unhealthy behaviors, whereas financial strain, lower quality of social support, and lung disease increase the risk.
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Affiliation(s)
- Leonie Klompstra
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
| | - Marie Löf
- Department of Biosciences and Nutrition, Karolinska Institutet, Stockholm, Sweden
| | - Cecilia Björkelund
- Primary Health Care/Department of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Research, Education, Development and Innovation, Primary Health Care, Region Västra Götaland, Sweden
| | | | - Lena V Kallings
- Department of Physical Activity and Health, The Swedish School of Sport and Health Sciences, Stockholm, Sweden
- Family Medicine and Preventive Medicine, Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
| | | | - Patrik Wennberg
- Department of Public Health and Clinical Medicine, Family Medicine, Umeå University, Umeå, Sweden
| | - Preben Bendtsen
- Department of Medical Specialist in Motala, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Marcus Bendtsen
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
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26
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Bowes C, Breckons M, Holmes RD, Durham J, Bareham BK. Barriers to Accessing Primary Dental Care in Adults with Alcohol Dependence: A Qualitative Study. JDR Clin Trans Res 2024; 9:325-336. [PMID: 38279706 PMCID: PMC11403925 DOI: 10.1177/23800844231169642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2024] Open
Abstract
BACKGROUND People with alcohol dependence (AD) frequently experience oral health problems, but their dental attendance is poor, with limited evidence to the reasons why from their perspective. OBJECTIVE To explore perceived barriers, motivators, and facilitators to accessing primary dental care in people with AD. METHODS Qualitative study consisting of remote one-to-one and group semistructured interviews with a convenience sample of adults with lived experience of AD in northern England. Data were audio-recorded, transcribed, and coded. A reflexive thematic analysis method was used; use of COM-B model informed data interpretation. RESULTS Twenty adults with lived experience of AD participated in 18 one-to-one interviews and 1 group interview (of 3 participants). Barriers to access were fear and physical, social, and environmental factors (physical effects of AD, financial barriers, nonprioritization of oral health). Motivators to access were pain and prioritization of oral health. Facilitators to access were patterns of alcohol use (i.e., sobriety) and dental service provision within recovery services. CONCLUSIONS Fear of "the dentist" is a major barrier to accessing dental care, and pain is the primary motivator, among people with AD, although neither are unique to this population. Fear and physical, social, and environmental barriers to access contribute to problem-oriented attendance, which negatively affect oral health outcomes. Opportunity to facilitate attendance increases when a person is in remission from AD through their physical capabilities improving. Increasing capability and opportunity can influence attendance beyond the automatic motivation of pain. Provision of dental care within recovery services could facilitate access to care. Understanding the "web of causation" is key to developing any intervention to improve dental access in people with AD. Further research is needed from the perspective of other adult populations with lived experience of AD, as well as of dental professionals, to gain deeper insight into barriers, facilitators, and possible solutions. KNOWLEDGE TRANSFER STATEMENT The results of this study can help dental professionals understand factors affecting access to primary care in people with alcohol dependence to provide knowledge that may reduce stigma surrounding the disease. Results also demonstrate areas for intervention development for public policy.
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Affiliation(s)
- C Bowes
- School of Dental Sciences, Newcastle University, Newcastle, UK
- NIHR In-Practice Fellowship, Newcastle, UK
| | - M Breckons
- Population Health Sciences Institute, Newcastle University, Newcastle, UK
- Applied Research Collaboration North East/North Cumbria, Newcastle, UK
| | - R D Holmes
- School of Dental Sciences, Newcastle University, Newcastle, UK
| | - J Durham
- School of Dental Sciences, Newcastle University, Newcastle, UK
| | - B K Bareham
- Population Health Sciences Institute, Newcastle University, Newcastle, UK
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27
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Thøgersen-Ntoumani C, Gucciardi DF, McVeigh JA, O'Sullivan TA, Dontje M, Stamatakis E, Eastwood PR, Straker L. Health behaviour profiles in young Australian adults in relation to physical and mental health: The Raine Study. Health Promot J Austr 2024; 35:1010-1021. [PMID: 37968787 DOI: 10.1002/hpja.828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 10/30/2023] [Accepted: 11/01/2023] [Indexed: 11/17/2023] Open
Abstract
ISSUES ADDRESSED We aimed to identify latent health behaviour profiles of young adults and examine their associations with physical and mental health outcomes. We also characterised the profiles by socio-demographic characteristics. METHODS Data were collected between 2012 and 2014. Participants (N = 476) were young adults (M age [SD] = 22.1 [.57] years) from Generation 2 of the Raine Study longitudinal cohort. Health behaviours were measured via ActiGraph GT3X waist monitors (physical activity, sedentary behaviour) and questionnaires (diet quality, alcohol, smoking and sleep). Physical and mental health were measured using clinical health assessments, blood biomarkers, and questionnaires. Latent Profile Analysis using Mplus (8.2) was employed to identify profiles. RESULTS Four latent profiles were identified: 'heavy drinkers with moderately unhealthy eating habits' (high takeaway foods; n = 135), 'unhealthy food abstainers' (low takeaway foods; n = 138), 'moderately sedentary alcohol abstainers' (n = 139) and 'physically active drinkers with unhealthy eating habits' (high takeaway foods and sugary drinks; n = 64). 'Physically active drinkers with unhealthy eating habits' had the poorest (physical and mental) health outcomes, yet the lowest insulin resistance. 'Unhealthy food abstainers' had the most favourable health outcomes (adiposity, health perceptions, blood pressure). Sex differed among the profiles. CONCLUSIONS The profiles identified among young adults are different to profiles with general adult populations. A novel finding was that 'physically active drinkers with unhealthy eating habits' had low insulin resistance. The findings also suggest that future interventions may need to be sex specific. SO WHAT Our findings suggest that health behaviour interventions for young adults should be targeted to distinct profile characteristics.
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Affiliation(s)
- Cecilie Thøgersen-Ntoumani
- Danish Centre for Motivation and Behaviour Science, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
- Curtin School of Population Health, Curtin University, Perth, Western Australia, Australia
| | - Daniel F Gucciardi
- Curtin School of Allied Health, Curtin University, Perth, Western Australia, Australia
| | - Joanne A McVeigh
- Curtin School of Allied Health, Curtin University, Perth, Western Australia, Australia
- Movement Physiology Laboratory, School of Physiology, University of Witwatersrand, Johannesburg, South Africa
| | - Therese A O'Sullivan
- School of Medical and Health Science, Edith Cowan University, Perth, Western Australia, Australia
| | - Manon Dontje
- Department of Rehabilitation, Physical Therapy Science and Sports, UMC Utrecht Brain Centre, Utrecht, The Netherlands
- Centre of Excellence for Rehabilitation Medicine, UMC Utrecht Brain Centre, University Medical Centre Utrecht, and de Hoogstraat Rehabilitation, Utrecht, The Netherlands
| | - Emmanuel Stamatakis
- Faculty of Medicine and Health, School of Health Sciences, Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Peter R Eastwood
- Health Futures Institute, Murdoch University, Perth, Western Australia, Australia
| | - Leon Straker
- Curtin School of Allied Health, Curtin University, Perth, Western Australia, Australia
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28
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Foster HME, Mair FS, O'Donnell CA. Exploring Public, Practitioner and Policymaker Perspectives of Unhealthy Lifestyle Factors in the Context of Socioeconomic Deprivation: A Qualitative Study. Health Expect 2024; 27:e70069. [PMID: 39445797 PMCID: PMC11500207 DOI: 10.1111/hex.70069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2024] [Revised: 09/25/2024] [Accepted: 09/26/2024] [Indexed: 10/25/2024] Open
Abstract
INTRODUCTION Unhealthy lifestyle factors, such as smoking, high alcohol intake, poor diet and physical inactivity, are key risk factors for premature mortality. How unhealthy lifestyle factors are viewed in the wider context of socioeconomic deprivation is rarely considered. Understanding key stakeholder views on lifestyle factors in the context of deprivation is critical to intervention development and reducing harm in more deprived populations. The aim of this study was to explore public, healthcare professional and policymaker views around unhealthy lifestyle factors in the context of deprivation. The aim was broad to facilitate iterative development of ideas, as the views of this wide range of stakeholders are rarely captured. METHODS Twenty-five adult members of the public in Scotland took part in four focus groups between August 2022 and June 2023. Eighteen semi-structured interviews were conducted with professionals: 12 primary-care practitioners and 6 public-health practitioners and policymakers. Reflexive thematic analysis was undertaken. RESULTS Four main themes were developed: (1) Evolving complexity of lifestyle factors - the number of lifestyle factors that adversely impact health has grown, with increasingly complex interactions, (2) Social determinants of lifestyle - numerous links were made between socioeconomic conditions and unhealthy lifestyle factors by all participants, (3) Poverty as a fundamental social determinant - poverty was identified as a core factor for unhealthy lifestyle factors, and (4) Agency versus structure in relation to lifestyle - individual agency to address lifestyle factors was limited by structural constraints. Among professionals, understanding the challenging social determinants of unhealthy lifestyle factors was countered by a desire to support healthy change in those affected by deprivation. CONCLUSION Public and professional views around lifestyle highlight an evolving understanding of the new and growing number of lifestyle factors as well as the increasingly complex interplay between lifestyle factors. Views of the social determinants of lifestyle and structural limits to agency strengthen arguments for reduced emphasis on individual-level responsibility for unhealthy lifestyle factors and for deeper integration of social determinants into lifestyle interventions. In addition to addressing poverty and socioeconomic inequalities directly, innovative policy, planning and legislation that incorporate wider approaches could tackle upstream determinants of numerous unhealthy lifestyle factors simultaneously. PATIENT OR PUBLIC CONTRIBUTION Members of the public who participated in this study have made contributions by sharing their views and perspectives. The National Health Service Research Scotland Primary Care Patient and Public Involvement (NRS PPI) Group contributed to the development of this work. The NRS PPI Group was consulted as part of the preparatory work for H. M. E. F.'s doctoral thesis funding application. The findings of the qualitative work were presented to them, and they informed the interpretation of those findings and related work presented at conferences and public engagement events.
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Affiliation(s)
- Hamish M. E. Foster
- General Practice and Primary Care, School of Health and Wellbeing, College of Medical, Veterinary and Life SciencesUniversity of GlasgowGlasgowScotland
| | - Frances S. Mair
- General Practice and Primary Care, School of Health and Wellbeing, College of Medical, Veterinary and Life SciencesUniversity of GlasgowGlasgowScotland
| | - Catherine A. O'Donnell
- General Practice and Primary Care, School of Health and Wellbeing, College of Medical, Veterinary and Life SciencesUniversity of GlasgowGlasgowScotland
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Thornton V, Chang Y, Chaloemtoem A, Anokhin AP, Bijsterbosch J, Foraker R, Hancock DB, Johnson EO, White JD, Hartz SM, Bierut LJ. Alcohol, smoking, and brain structure: common or substance specific associations. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.09.25.24313371. [PMID: 39399056 PMCID: PMC11469368 DOI: 10.1101/2024.09.25.24313371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 10/15/2024]
Abstract
Alcohol use and smoking are common substance-use behaviors with well-established negative health effects, including decreased brain health. We examined whether alcohol use and smoking were associated with the same neuroimaging-derived brain measures. We further explored whether the effects of alcohol use and smoking on the brain were additive or interactive. We leveraged a cohort of 36,309 participants with neuroimaging data from the UK Biobank. We used linear regression to determine the association between 354 neuroimaging-derived brain measures and alcohol use defined as drinks per week, pack years of smoking, and drinks per week × pack years smoking interaction. To assess whether the brain associations with alcohol are broadly similar or different from the associations with smoking, we calculated the correlation between z-scores of association for drinks per week and pack years smoking. Results indicated overall moderate positive correlation in the associations across measures representing brain structure, magnetic susceptibility, and white matter tract microstructure, indicating greater similarity than difference in the brain measures associated with alcohol use and smoking. The only evidence of an interaction between drinks per week and pack years smoking was seen in measures representing magnetic susceptibility in subcortical structures. The effects of alcohol use and smoking on brain health appeared to be additive rather than multiplicative for all other brain measures studied. 97% (224/230) of associations with alcohol and 100% (167/167) of the associations with smoking that surpassed a p value threshold are in a direction that can be interpreted to reflect reduced brain health. Our results underscore the similarity of the adverse associations between use of these substances and neuroimaging derived brain measures.
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Affiliation(s)
- Vera Thornton
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Yoonhoo Chang
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Ariya Chaloemtoem
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Andrey P. Anokhin
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Janine Bijsterbosch
- Department of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Randi Foraker
- Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Dana B. Hancock
- GenOmics and Translational Research Center, RTI International, Research Triangle Park, North Carolina, USA
| | - Eric O. Johnson
- GenOmics and Translational Research Center, RTI International, Research Triangle Park, North Carolina, USA
- Fellow Program, RTI International, Research Triangle Park, North Carolina, USA
| | - Julie D. White
- GenOmics and Translational Research Center, RTI International, Research Triangle Park, North Carolina, USA
| | - Sarah M. Hartz
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Laura J. Bierut
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA
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30
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Ricardo LIC, Smith AD, Hesketh KR, Chavez-Ugalde Y, Lee EY, van Sluijs EMF. Cross-sectional associations of gender identity and sexual orientation, with co-occurrence and clustering of health-related behaviours among British adolescents: Millennium cohort study. Prev Med 2024; 186:108084. [PMID: 39047953 DOI: 10.1016/j.ypmed.2024.108084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Revised: 07/18/2024] [Accepted: 07/21/2024] [Indexed: 07/27/2024]
Abstract
PURPOSE We examined whether gender identity and sexual orientation were associated with seven health-related behaviours, and with co-occurrence and clustering of these behaviours among British adolescents. METHODS Millennium Cohort Study (age 17 wave) provided data on the exposures, gender identity (male, female, genderqueer) and sexual orientation (heterosexual, bisexual, gay or lesbian, or other), and seven self-reported health-related behaviours (binge drinking, drug use, no consumption of breakfast, no consumption of fruits or vegetables, physical inactivity, poor sleep, and smoking or vaping). Poisson regressions examined associations between the exposures and single behaviours (reporting prevalence ratios (PRs)); and multinomial logistic regressions were used for behavioural cumulative co-occurrence score (reporting PRs). Cluster patterns were identified using Ward's agglomerative hierarchical cluster analysis while associations with cluster membership were performed using logistic regressions (reporting odds ratios (ORs)). RESULTS Our sample included 6022 adolescents (55.4% female, 1.5% genderqueer, 11.6% non-heterosexual). Adolescents who identified as genderqueer had the highest prevalence of not eating breakfast (PR: 60.5% [95%CI 48.4-71.4]) and poor sleep (68.7% [95%CI 55.6-79.3]). Those who identified as bisexual had a higher PR of co-occurring behaviours (2.46 [95%CI 1.39-4.27]). Among the three clusters identified (1: Multiple risk behaviours; 2: Physical inactivity and binge drinking; 3: Poor diet and physical inactivity), adolescents who identified as genderqueer or other sexual orientation showed the highest prevalence in cluster 3. CONCLUSION Gender and sexual minority British adolescents showed a higher prevalence of risky health-related behaviours, and higher risk of co-occurring behaviours. Physical inactivity and poor diet behaviours commonly clustered together for these groups.
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Affiliation(s)
| | - Andrea D Smith
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | | | | | - Eun-Young Lee
- School of Kinesiology & Health Studies, Queen's University, Ontario, Canada; Department of Gender Studies, Queen's University, Ontario, Canada
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31
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Leech RM, Chappel SE, Ridgers ND, Eicher-Miller HA, Maddison R, McNaughton SA. Analytic Methods for Understanding the Temporal Patterning of Dietary and 24-H Movement Behaviors: A Scoping Review. Adv Nutr 2024; 15:100275. [PMID: 39029559 PMCID: PMC11347858 DOI: 10.1016/j.advnut.2024.100275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Revised: 07/07/2024] [Accepted: 07/15/2024] [Indexed: 07/21/2024] Open
Abstract
Dietary and movement behaviors [physical activity (PA), sedentary behavior (SED), and sleep] occur throughout a 24-h day and involve multiple contexts. Understanding the temporal patterning of these 24-h behaviors and their contextual determinants is key to determining their combined effect on health. A scoping review was conducted to identify novel analytic methods for determining temporal behavior patterns and their contextual correlates. We searched Embase, ProQuest, and EBSCOhost databases in July 2022 to identify studies published between 1997 and 2022 on temporal patterns and their contextual correlates (e.g., locational, social, environmental, personal). We included 14 studies after title and abstract (n = 33,292) and full-text (n = 135) screening, of which 11 were published after 2018. Most studies (n = 4 in adults; n = 5 in children and adolescents), examined waking behavior patterns (i.e., both PA and SED) of which 3 also included sleep and 6 included contextual correlates. PA and diet were examined together in only 1 study of adults. Contextual correlates of dietary, PA, and sleep temporal behavior patterns were also examined. Machine learning with various clustering algorithms and model-based clustering techniques were most used to determine 24-h temporal behavior patterns. Although the included studies used a diverse range of methods, behavioral variables, and assessment periods, results showed that temporal patterns characterized by high SED and low PA were linked to poorer health outcomes, than those with low SED and high PA. This review identified temporal behavior patterns, and their contextual correlates, which were associated with adiposity and cardiometabolic disease risk, suggesting these methods hold promise for the discovery of holistic lifestyle exposures important to health. Standardized reporting of methods and patterns and multidisciplinary collaboration among nutrition, PA, and sleep researchers; statisticians; and computer scientists were identified as key pathways to advance future research on temporal behavior patterns in relation to health.
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Affiliation(s)
- Rebecca M Leech
- Institute for Physical Activity and Nutrition, Deakin University, Geelong, Victoria, Australia.
| | - Stephanie E Chappel
- Central Queensland University, Appleton Institute, School of Health, Medical and Applied Sciences, Adelaide, South Australia, Australia
| | - Nicola D Ridgers
- Institute for Physical Activity and Nutrition, Deakin University, Geelong, Victoria, Australia; Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, South Australia, Australia
| | | | - Ralph Maddison
- Institute for Physical Activity and Nutrition, Deakin University, Geelong, Victoria, Australia
| | - Sarah A McNaughton
- Health and Well-Being Center for Research Innovation, School of Human Movement and Nutrition Sciences, University of Queensland, St Lucia, Queensland, Australia
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32
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Shi B, Li G, Wu S, Ge H, Zhang X, Chen S, Pan Y, He Q. Assessing the Effectiveness of eHealth Interventions to Manage Multiple Lifestyle Risk Behaviors Among Older Adults: Systematic Review and Meta-Analysis. J Med Internet Res 2024; 26:e58174. [PMID: 39083787 PMCID: PMC11325121 DOI: 10.2196/58174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Revised: 05/24/2024] [Accepted: 06/01/2024] [Indexed: 08/02/2024] Open
Abstract
BACKGROUND Developing adverse lifestyle behaviors increases the risk of a variety of chronic age-related diseases, including cardiovascular disease, obesity, and Alzheimer disease. There is limited evidence regarding the effectiveness of eHealth-based multiple health behavior change (MHBC) interventions to manage lifestyle risk behaviors. OBJECTIVE The purpose of this systematic evaluation was to assess the effectiveness of eHealth MHBC interventions in changing ≥2 major lifestyle risk behaviors in people aged ≥50 years. METHODS The literature search was conducted in 6 electronic databases-PubMed, Embase, Web of Science, Scopus, Cochrane Library, and SPORTDiscus-from inception to May 1, 2024. Eligible studies were randomized controlled trials of eHealth interventions targeting ≥2 of 6 behaviors of interest: alcohol use, smoking, diet, physical activity (PA), sedentary behavior, and sleep. RESULTS A total of 34 articles with 35 studies were included. eHealth-based MHBC interventions significantly increased smoking cessation rates (odds ratio 2.09, 95% CI 1.62-2.70; P<.001), fruit intake (standardized mean difference [SMD] 0.18, 95% CI 0.04-0.32; P=.01), vegetable intake (SMD 0.17, 95% CI 0.05-0.28; P=.003), self-reported total PA (SMD 0.22, 95% CI 0.02-0.43; P=.03), and objectively measured moderate to vigorous PA (SMD 0.25, 95% CI 0.09-0.41; P=.002); in addition, the interventions decreased fat intake (SMD -0.23, 95% CI -0.33 to -0.13; P<.001). No effects were observed for alcohol use, sedentary behavior, or sleep. A sensitivity analysis was conducted to test the robustness of the pooled results. Moreover, the certainty of evidence was evaluated using the GRADE (Grading of Recommendations Assessment, Development, and Evaluation) framework. CONCLUSIONS eHealth-based MHBC interventions may be a promising strategy to increase PA, improve diet, and reduce smoking among older adults. However, the effect sizes were small. Further high-quality, older adult-oriented research is needed to develop eHealth interventions that can change multiple behaviors. TRIAL REGISTRATION PROSPERO International Prospective Register of Systematic Reviews CRD42023444418; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023444418.
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Affiliation(s)
- Beibei Shi
- School of Physical Education, Shandong University, Jinan, China
| | - Guangkai Li
- School of Physical Education, Shandong University, Jinan, China
| | - Shuang Wu
- School of Physical Education, Shandong University, Jinan, China
| | - Hongli Ge
- School of Physical Education, Shandong University, Jinan, China
| | - Xianliang Zhang
- School of Physical Education, Shandong University, Jinan, China
| | - Si Chen
- School of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Yang Pan
- School of Physical Education, Shandong University, Jinan, China
| | - Qiang He
- School of Physical Education, Shandong University, Jinan, China
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Hillari L, Frank P, Cadar D. Systemic inflammation, lifestyle behaviours and dementia: A 10-year follow-up investigation. Brain Behav Immun Health 2024; 38:100776. [PMID: 38706574 PMCID: PMC11068506 DOI: 10.1016/j.bbih.2024.100776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 03/17/2024] [Accepted: 04/16/2024] [Indexed: 05/07/2024] Open
Abstract
Objectives Lifestyle behaviours have been linked to dementia incidence, but their cumulative impact on dementia and the underlying mechanisms remain poorly understood. This study investigated the association of co-occurring lifestyle behaviours with dementia incidence and the mediating role of systemic inflammation in this association. Methods The sample comprised 3131 participants (55.2% female) from the English Longitudinal Study of Ageing aged 52-92 years at baseline (2008/09). Self-reported baseline lifestyle behaviours (alcohol intake, fruit and vegetable consumption, smoking, physical activity, sleep duration, social engagement, and cognitive activity) were summed to derive an index of lifestyle behaviours, ranging from 0 to 7, with higher scores denoting a higher number of health-risk behaviours. Incident dementia cases (n = 130, 4.2%) were identified through doctor-diagnosed dementia, informant interviews, and health records between 2014/15 and 2018/19. Systemic inflammation was measured through fasting plasma concentrations of C-reactive protein in 2012/13. Results Binary logistic regression models indicated that the odds of subsequent dementia increased by 1.19 for each additional health-risk behaviour (95% confidence intervals: 1.04, 1.37, p = 0.014) after adjusting for age, sex, ethnicity, wealth, education, marital status, body mass index, coronary heart disease, hypertension, stroke, and depression. However, this association was not mediated by C-reactive protein. Conclusions Co-occurring health-risk behaviours were associated with higher dementia incidence up to 10 years later, underscoring the importance of modifying health-risk behaviours for the prevention of dementia. Systemic inflammation did not explain the association between behaviours and dementia.
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Affiliation(s)
- Leah Hillari
- Behavioural Science and Health, University College London, London, UK
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Philipp Frank
- Behavioural Science and Health, University College London, London, UK
- UCL Brain Sciences, University College London, London, UK
| | - Dorina Cadar
- Behavioural Science and Health, University College London, London, UK
- Centre for Dementia Studies, Brighton and Sussex Medical School, Brighton, UK
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Bloomberg M, Muniz-Terrera G, Brocklebank L, Steptoe A. Healthy lifestyle and cognitive decline in middle-aged and older adults residing in 14 European countries. Nat Commun 2024; 15:5003. [PMID: 38937442 PMCID: PMC11211489 DOI: 10.1038/s41467-024-49262-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 05/30/2024] [Indexed: 06/29/2024] Open
Abstract
Studies examining lifestyle and cognitive decline often use healthy lifestyle indices, making it difficult to understand implications for interventions. We examined associations of 16 lifestyles with cognitive decline. Data from 32,033 cognitively-healthy adults aged 50-104 years participating in prospective cohort studies of aging from 14 European countries were used to examine associations of lifestyle with memory and fluency decline over 10 years. The reference lifestyle comprised not smoking, no-to-moderate alcohol consumption, weekly moderate-plus-vigorous physical activity, and weekly social contact. We found that memory and fluency decline was generally similar for non-smoking lifestyles. By contrast, memory scores declined up to 0.17 standard deviations (95% confidence interval= 0.08 - 0.27) and fluency scores up to 0.16 standard deviations (0.07 - 0.25) more over 10 years for those reporting smoking lifestyles compared with the reference lifestyle. We thus show that differences in cognitive decline between lifestyles were primarily dependent on smoking status.
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Affiliation(s)
- Mikaela Bloomberg
- Department of Behavioural Science and Health, University College London, London, UK.
| | | | - Laura Brocklebank
- Department of Behavioural Science and Health, University College London, London, UK
| | - Andrew Steptoe
- Department of Behavioural Science and Health, University College London, London, UK
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Barbosa BCR, de Deus Mendonça R, Machado EL, Meireles AL. Co-occurrence of obesogenic behaviors and their implications for mental health during the COVID-19 pandemic: a study with university students. BMC Public Health 2024; 24:1596. [PMID: 38877471 PMCID: PMC11179395 DOI: 10.1186/s12889-024-19031-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 05/31/2024] [Indexed: 06/16/2024] Open
Abstract
BACKGROUND The university years are a critical period for young adults, as they are more exposed to obesogenic behaviors and experience stressful situations that compromise their mental health. This study aims to estimate the prevalence of anxiety and depression symptoms and evaluate the association between the combined occurrence of obesogenic behaviors among university students. METHODS A cross-sectional study was conducted on students from a public university in Brazil during the COVID-19 pandemic. Data were collected from July to August 2020 using an online questionnaire. The outcome variables (anxiety and depression symptoms) were assessed using the Depression, Anxiety and Stress Scale-21 (DASS-21). The co-occurrence of obesogenic behaviors was measured based on irregular consumption of fruits and vegetables, frequent consumption of ultra-processed foods, physical inactivity during leisure time, and sedentary behavior. A Venn diagram was used for the exploratory analysis. To verify the association between the outcome and explanatory variables, a directed acyclic graph model was constructed, and multivariate logistic regression was performed to calculate odds ratios (ORs) and 95% confidence intervals (95%CIs). RESULTS A total of 1,353 students aged 18-24 years participated in this study. Symptoms of anxiety and depression were present in 46.1% and 54.6% of the participants, respectively. The most prevalent combination of obesogenic behaviors was frequent consumption of ultra-processed foods, physical inactivity during leisure time, and sedentary behavior (17.2%). The greater the number of simultaneous obesogenic behaviors, the higher the chance to present symptoms of anxiety [OR: 2.81 (95%CI: 1.77-4.46)] and depression [OR: 3.46 (95%CI: 2.20-5.43)]. CONCLUSION These findings reinforce the need to take actions to promote mental health in the university environment in conjunction with programs to promote a healthy lifestyle and improve the physical and mental well-being of students.
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Affiliation(s)
- Bruna Carolina Rafael Barbosa
- Postgraduate Program in Health and Nutrition, School of Nutrition, Federal University of Ouro Preto, Ouro Preto, Brazil
- Research and Study Group on Nutrition and Public Health, Federal University of Ouro Preto, Ouro Preto, Brazil
| | - Raquel de Deus Mendonça
- Postgraduate Program in Health and Nutrition, School of Nutrition, Federal University of Ouro Preto, Ouro Preto, Brazil
- Department of Clinical and Social Nutrition, School of Nutrition, Federal University of Ouro Preto, Ouro Preto, Brazil
- Research and Study Group on Nutrition and Public Health, Federal University of Ouro Preto, Ouro Preto, Brazil
| | - Elaine Leandro Machado
- Department of Preventive and Social Medicine, Federal University of Minas Gerais, Belo Horizonte, Brazil
| | - Adriana Lúcia Meireles
- Postgraduate Program in Health and Nutrition, School of Nutrition, Federal University of Ouro Preto, Ouro Preto, Brazil.
- Department of Clinical and Social Nutrition, School of Nutrition, Federal University of Ouro Preto, Ouro Preto, Brazil.
- Research and Study Group on Nutrition and Public Health, Federal University of Ouro Preto, Ouro Preto, Brazil.
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Dong C, Chen H, Li Y, Sun Y, Pan Y, Xu Q, Sun H. Patterns of Health-Risk Behaviours and Their Associations With Anxiety and Depression Among Chinese Young Adults by Gender: A Latent Class Analysis. Psychol Rep 2024:332941241258922. [PMID: 38842056 DOI: 10.1177/00332941241258922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/07/2024]
Abstract
This study investigated gender differences in health-risk behaviour patterns among young adults and assessed the associations of anxiety and depression with these patterns. A cross-sectional survey was conducted with 1740 young Chinese adults aged 18-24 years. Latent class analysis (LCA) and multinomial logistic regression were conducted to identify the clusters of health-risk behaviours and their associations with anxiety and depression. Three common patterns were found for both genders: physical inactivity, substance use, and insufficient fruit intake (5.7% for males [M] and 11.6% for females [F]); a sedentary lifestyle only (48.4% for M and 48.9% for F); and a sedentary lifestyle, substance use, and an unhealthy diet (7.6% for M and 20.0% for F). Additionally, two additional unique patterns were found: physical inactivity and unhealthy diet in males (38.3%) and physical inactivity and insufficient fruit intake in females (19.6%). Sociodemographic variables exert different effects on health-risk behaviour patterns as a function of gender. Lower anxiety levels (odds ratio [OR]: 0.892; 95% confidence interval [CI]: 0.823-0.966) and greater depression levels (OR: 1.074; 95% CI: 1.008-1.143) were associated with a sedentary lifestyle, substance use, and unhealthy diet class only in female young adults compared with a sedentary-only class. These findings underscore the need for the implementation of targeted interventions based on gender differences.
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Affiliation(s)
- Chaoqun Dong
- School of Nursing, Wenzhou Medical University, Wenzhou, China
| | - Hua Chen
- School of Nursing, Peking University, Beijing, China
| | - Yi Li
- Medical Informatics Center, Institute of Advanced Clinical Medicine, Peking University, Beijing, China
| | - Yumei Sun
- School of Nursing, Peking University, Beijing, China
| | - Yinzhu Pan
- School of Nursing, Wenzhou Medical University, Wenzhou, China
| | - Qiongying Xu
- School of Nursing, Wenzhou Medical University, Wenzhou, China
| | - Hongyu Sun
- School of Nursing, Peking University, Beijing, China
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Roca-Ventura A, Solana-Sánchez J, Cattaneo G, Tormos-Muñoz JM, Pascual-Leone Á, Bartrés-Faz D. Lifestyle trajectories in middle-aged adults and their relationship with health indicators. Front Public Health 2024; 12:1412547. [PMID: 38903574 PMCID: PMC11188459 DOI: 10.3389/fpubh.2024.1412547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2024] [Accepted: 05/16/2024] [Indexed: 06/22/2024] Open
Abstract
Introduction Understanding the impact of different lifestyle trajectories on health preservation and disease risk is crucial for effective interventions. Methods This study analyzed lifestyle engagement over five years in 3,013 healthy adults aged 40-70 from the Barcelona Brain Health Initiative using K-means clustering. Nine modifiable risk factors were considered, including cognitive, physical, and social activity, vital plan, diet, obesity, smoking, alcohol consumption, and sleep. Self-reported diagnoses of new diseases at different time-points after baseline allowed to explore the association between these five profiles and health outcomes. Results The data-driven analysis classified subjects into five lifestyle profiles, revealing associations with health behaviors and risk factors. Those exhibiting high scores in health-promoting behaviors and low-risk behaviors, demonstrate a reduced likelihood of developing diseases (p < 0.001). In contrast, profiles with risky habits showed distinct risks for psychiatric, neurological, and cardiovascular diseases. Participant's lifestyle trajectories remained relatively stable over time. Discussion Our findings have identified risk for distinct diseases associated to specific lifestyle patterns. These results could help in the personalization of interventions based on data-driven observation of behavioral patterns and policies that promote a healthy lifestyle and can lead to better health outcomes for people in an aging society.
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Affiliation(s)
- Alba Roca-Ventura
- Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Badalona, Spain
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut i Institut de Neurociències, Universitat de Barcelona, Barcelona, Spain
- Fundació Institut d’Investigació en Ciències de la Salut Germans Trias i Pujol, Barcelona, Spain
| | - Javier Solana-Sánchez
- Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Badalona, Spain
- Fundació Institut d’Investigació en Ciències de la Salut Germans Trias i Pujol, Barcelona, Spain
- Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Gabriele Cattaneo
- Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Badalona, Spain
- Fundació Institut d’Investigació en Ciències de la Salut Germans Trias i Pujol, Barcelona, Spain
- Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Josep M. Tormos-Muñoz
- Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Badalona, Spain
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut i Institut de Neurociències, Universitat de Barcelona, Barcelona, Spain
- Fundació Institut d’Investigació en Ciències de la Salut Germans Trias i Pujol, Barcelona, Spain
- Centro de Investigación Traslacional San Alberto Magno, Universidad Católica de Valencia San Vicente Mártir, Valencia, Spain
| | - Álvaro Pascual-Leone
- Hinda and Arthur Marcus Institute for Aging Research and Deanna and Sidney Wolk Center for Memory Health, Boston, MA, United States
- Department of Neurology, Harvard Medical School, Boston, MA, United States
| | - David Bartrés-Faz
- Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Badalona, Spain
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut i Institut de Neurociències, Universitat de Barcelona, Barcelona, Spain
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
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Jackisch J, Noor N, Raitakari OT, Lehtimäki T, Kähönen M, Cullati S, Delpierre C, Kivimäki M, Carmeli C. Does the effect of adolescent health behaviours on adult cardiometabolic health differ by socioeconomic background? Protocol for a population-based cohort study. BMJ Open 2024; 14:e078428. [PMID: 38806419 PMCID: PMC11138306 DOI: 10.1136/bmjopen-2023-078428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 05/08/2024] [Indexed: 05/30/2024] Open
Abstract
INTRODUCTION Adolescence is a sensitive period for cardiometabolic health. Yet, it remains unknown if adolescent health behaviours, such as alcohol use, smoking, diet and physical activity, have differential effects across socioeconomic strata. Adopting a life-course perspective and a causal inference framework, we aim to assess whether the effects of adolescent health behaviours on adult cardiometabolic health differ by levels of neighbourhood deprivation, parental education and occupational class. Gaining a better understanding of these social disparities in susceptibility to health behaviours can inform policy initiatives that aim to improve population health and reduce socioeconomic inequalities in cardiometabolic health. METHODS AND ANALYSIS We will conduct a secondary analysis of the Young Finns Study, which is a longitudinal population-based cohort study. We will use measures of health behaviours-smoking, alcohol use, fruit and vegetable consumption, and physical activity-as exposure and parental education, occupational class and neighbourhood deprivation as effect modifiers during adolescence (ages 12-18 years). Eight biomarkers of cardiometabolic health (outcomes)-waist circumference, body mass index, blood pressure, low-density lipoprotein cholesterol, apolipoprotein B, plasma glucose and insulin resistance-will be measured when participants were aged 33-40. A descriptive analysis will investigate the clustering of health behaviours. Informed by this, we will conduct a causal analysis to estimate effects of single or clustered adolescent health behaviours on cardiometabolic health conditional on socioeconomic background. This analysis will be based on a causal model implemented via a directed acyclic graph and inverse probability-weighted marginal structural models to estimate effect modification. ETHICS AND DISSEMINATION The Young Finns study was conducted according to the guidelines of the Declaration of Helsinki, and the protocol was approved by ethics committees of University of Helsinki, Kuopio, Oulu, Tampere and Turku. We will disseminate findings at international conferences and a manuscript in an open-access peer-reviewed journal.
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Affiliation(s)
- Josephine Jackisch
- Population Health Laboratory (#PopHealthLab), University of Fribourg, Fribourg, Switzerland
| | - Nazihah Noor
- Population Health Laboratory (#PopHealthLab), University of Fribourg, Fribourg, Switzerland
- Swiss School of Public Health (SSPH+), Zürich, Switzerland
| | - Olli T Raitakari
- Centre for Population Health Research & Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, TYKS Turku University Hospital, Turku, Finland
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Tampere University, Tampere, Finland
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland
- Finnish Cardiovascular Research Center, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Stéphane Cullati
- Population Health Laboratory (#PopHealthLab), University of Fribourg, Fribourg, Switzerland
- Swiss School of Public Health (SSPH+), Zürich, Switzerland
- Quality of Care Service, University of Geneva, Geneve, Switzerland
| | - Cyrille Delpierre
- CERPOP, UMR1295, Inserm, Toulouse III University-Paul Sabatier, Toulouse, France
| | - Mika Kivimäki
- UCL Brain Sciences, University College London, London, UK
- Clinicum, University of Helsinki Faculty of Medicine, Helsinki, Finland
| | - Cristian Carmeli
- Population Health Laboratory (#PopHealthLab), University of Fribourg, Fribourg, Switzerland
- Swiss School of Public Health (SSPH+), Zürich, Switzerland
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Guedes DP, de Lima KA, dos Santos Silva AL. Prevalence and Correlates of Health Risk Behaviors among University Students from a State in the Southern Region of Brazil. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2024; 21:612. [PMID: 38791826 PMCID: PMC11120948 DOI: 10.3390/ijerph21050612] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 04/27/2024] [Accepted: 05/08/2024] [Indexed: 05/26/2024]
Abstract
BACKGROUND Surveys conducted in different regions of the world show that the prevalence rates of health risk behaviors (HRBs) in university students are sometimes higher than those found in non-university populations. This study aims to identify the prevalence rates and demographic and academic environment correlates associated with HRBs among Brazilian university students. METHODS In a cross-sectional epidemiological study, a random sample of 5310 university students answered an online questionnaire, with demographic (sex, age, skin color, marital status, and paid work) and academic setting information (housing type, size of campus, year, and shift of study), as well as items clustered in four HRB domains: personal safety and violence, sexual behavior and contraception, addictive substance use, eating habits, physical activity, and sleep. The data were analyzed statistically using bivariate analysis and hierarchical multiple regression. RESULTS The highest prevalence rates occurred in HRBs clustered in the domain of eating habits, physical activity, and sleep (>60%), while HRBs for personal security and violence were less prevalent (<15%). From 15% to 35% of university students assumed HRBs regarding addictive substance use, and approximately 50% reported risky sexual behavior. The university students most susceptible to HRBs were men, aged ≥ 22 years, living far from their family, studying on larger campuses, attending night classes, and with two or more years of study at the university. CONCLUSION The findings suggest that policies and interventions in the university context aimed at students' readiness to engage in a healthy lifestyle should target specific correlates associated with HRBs.
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Affiliation(s)
- Dartagnan Pinto Guedes
- Health Sciences Center, State University of Northern Parana, Jacarezinho 86400-000, Brazil;
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Burton R, Sharpe C, Bhuptani S, Jecks M, Henn C, Pearce-Smith N, Knight S, Regan M, Sheron N. The relationship between the price and demand of alcohol, tobacco, unhealthy food, sugar-sweetened beverages, and gambling: an umbrella review of systematic reviews. BMC Public Health 2024; 24:1286. [PMID: 38730332 PMCID: PMC11088175 DOI: 10.1186/s12889-024-18599-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Accepted: 04/15/2024] [Indexed: 05/12/2024] Open
Abstract
BACKGROUND The WHO highlight alcohol, tobacco, unhealthy food, and sugar-sweetened beverage (SSB) taxes as one of the most effective policies for preventing and reducing the burden of non-communicable diseases. This umbrella review aimed to identify and summarise evidence from systematic reviews that report the relationship between price and demand or price and disease/death for alcohol, tobacco, unhealthy food, and SSBs. Given the recent recognition as gambling as a public health problem, we also included gambling. METHODS The protocol for this umbrella review was pre-registered (PROSPERO CRD42023447429). Seven electronic databases were searched between 2000-2023. Eligible systematic reviews were those published in any country, including adults or children, and which quantitatively examined the relationship between alcohol, tobacco, gambling, unhealthy food, or SSB price/tax and demand (sales/consumption) or disease/death. Two researchers undertook screening, eligibility, data extraction, and risk of bias assessment using the ROBIS tool. RESULTS We identified 50 reviews from 5,185 records, of which 31 reported on unhealthy food or SSBs, nine reported on tobacco, nine on alcohol, and one on multiple outcomes (alcohol, tobacco, unhealthy food, and SSBs). We did not identify any reviews on gambling. Higher prices were consistently associated with lower demand, notwithstanding variation in the size of effect across commodities or populations. Reductions in demand were large enough to be considered meaningful for policy. CONCLUSIONS Increases in the price of alcohol, tobacco, unhealthy food, and SSBs are consistently associated with decreases in demand. Moreover, increasing taxes can be expected to increase tax revenue. There may be potential in joining up approaches to taxation across the harm-causing commodities.
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Affiliation(s)
- Robyn Burton
- Department of Health and Social Care, Office for Health Improvement and Disparities, 39 Victoria Street, London, England.
- Institute for Social Marketing and Health UK, University of Stirling, Stirling, FK9 4LA, Scotland, UK.
| | - Casey Sharpe
- Department of Health and Social Care, Office for Health Improvement and Disparities, 39 Victoria Street, London, England
| | - Saloni Bhuptani
- Department of Health and Social Care, Office for Health Improvement and Disparities, 39 Victoria Street, London, England
| | - Mike Jecks
- Department of Health and Social Care, Office for Health Improvement and Disparities, 39 Victoria Street, London, England
| | - Clive Henn
- Department of Health and Social Care, Office for Health Improvement and Disparities, 39 Victoria Street, London, England
| | - Nicola Pearce-Smith
- UK Health Security Agency (UKHSA), 10 South Colonnade, Canary Wharf, London, England
| | - Sandy Knight
- Department of Health and Social Care, Office for Health Improvement and Disparities, 39 Victoria Street, London, England
| | - Marguerite Regan
- Department of Health and Social Care, Office for Health Improvement and Disparities, 39 Victoria Street, London, England
| | - Nick Sheron
- Department of Health and Social Care, Office for Health Improvement and Disparities, 39 Victoria Street, London, England
- The Roger Williams Institute of Hepatology, Kings College London, London, England
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de Mello GT, Thirunavukkarasu S, Jeemon P, Thankappan KR, Oldenburg B, Cao Y. Clustering of health behaviors and their associations with cardiometabolic risk factors among adults at high risk for type 2 diabetes in India: A latent class analysis. J Diabetes 2024; 16:e13550. [PMID: 38708436 PMCID: PMC11070839 DOI: 10.1111/1753-0407.13550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 02/06/2024] [Accepted: 02/16/2024] [Indexed: 05/07/2024] Open
Abstract
BACKGROUND We aimed to identify clusters of health behaviors and study their associations with cardiometabolic risk factors in adults at high risk for type 2 diabetes in India. METHODS Baseline data from the Kerala Diabetes Prevention Program (n = 1000; age 30-60 years) were used for this study. Information on physical activity (PA), sedentary behavior, fruit and vegetable intake, sleep, and alcohol and tobacco use was collected using questionnaires. Blood pressure, waist circumference, 2-h plasma glucose, high-density lipoprotein and low-density lipoprotein cholesterol, and triglycerides were measured using standardized protocols. Latent class analysis was used to identify clusters of health behaviors, and multilevel mixed-effects linear regression was employed to examine their associations with cardiometabolic risk factors. RESULTS Two classes were identified, with 87.4% of participants in class 1 and 12.6% in class 2. Participants in both classes had a high probability of not engaging in leisure-time PA (0.80 for class 1; 0.73 for class 2) and consuming <5 servings of fruit and vegetables per day (0.70 for class 1; 0.63 for class 2). However, participants in class 1 had a lower probability of sitting for >=3 h per day (0.26 vs 0.42), tobacco use (0.10 vs 0.75), and alcohol use (0.08 vs 1.00) compared to those in class 2. Class 1 had a significantly lower mean systolic blood pressure (β = -3.70 mm Hg, 95% confidence interval [CI] -7.05, -0.36), diastolic blood pressure (β = -2.45 mm Hg, 95% CI -4.74, -0.16), and triglycerides (β = -0.81 mg/dL, 95% CI -0.75, -0.89). CONCLUSION Implementing intervention strategies, tailored to cluster-specific health behaviors, is required for the effective prevention of cardiometabolic disorders among high-risk adults for type 2 diabetes.
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Affiliation(s)
- Gabrielli T. de Mello
- Research Center for Physical Activity and HealthFederal University of Santa CatarinaFlorianópolisSanta CatarinaBrazil
| | - Sathish Thirunavukkarasu
- Department of Family and Preventive Medicine, School of MedicineEmory UniversityAtlantaGeorgiaUSA
- Emory Global Diabetes Research Center, Woodruff Health Sciences CenterEmory UniversityAtlantaGeorgiaUSA
| | - Panniyammakal Jeemon
- Achutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute for Medical Sciences and TechnologyTrivandrumIndia
| | | | - Brian Oldenburg
- Baker Heart and Diabetes InstituteMelbourneVictoriaAustralia
- School of Psychology and Public HealthLa Trobe UniversityMelbourneVictoriaAustralia
| | - Yingting Cao
- Baker Heart and Diabetes InstituteMelbourneVictoriaAustralia
- Department of Sport, Exercise and Nutrition Sciences, School of Allied Health, Human Services and SportLa Trobe UniversityMelbourneVictoriaAustralia
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Slotnick MJ, Ansari S, Parnarouskis L, Gearhardt AN, Wolfson JA, Leung CW. Persistent and Changing Food Insecurity Among Students at a Midwestern University is Associated With Behavioral and Mental Health Outcomes. Am J Health Promot 2024; 38:483-491. [PMID: 38130004 PMCID: PMC11044134 DOI: 10.1177/08901171231224102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
Abstract
PURPOSE To assess associations between persistent and changing food insecurity and behavioral and mental health outcomes in college students. DESIGN Online surveys conducted November 2018 and March 2019 (freshman year), and March 2020 (sophomore year) were used to assess food insecurity, which was then used to create 4 food security transitions: persistent food insecurity, emergent food insecurity, emergent food security, and persistent food security. SETTING Large Midwestern university. SAMPLE 593 students completing all 3 surveys. MEASURES Dietary intake and behavioral and mental health outcomes (eating disorders, anxiety, depression, sleep quality) were assessed using validated instruments. ANALYSIS Associations between food security transitions and dietary intake, behavioral, and mental health outcomes were examined using generalized linear models. RESULTS Compared to persistent food security, emergent and persistent food insecurity was associated with lower (7% and 13% respectively) intake of fruits and vegetables combined; persistent food insecurity was associated with 17% lower intake of fruits, 6% lower intake of fiber and 10% higher intake of added sugar from beverages. Compared to persistent food secure students, eating disorder symptom risk was higher for emergent food insecure (OR = 7.61, 95% CI: 3.32, 17.48), and persistent food insecure (OR = 6.60, 95% CI: 2.60, 16.72) students; emergent (OR = 2.05, 95% CI: 1.14, 3.71) and persistent (OR = 2.55, 95% CI: 1.34, 4.87) food insecure students had higher odds of poor sleep quality, and persistent food insecure, emergent food insecure, and emergent food secure students had higher odds of anxiety and depression (OR range 2.35-2.85). CONCLUSION Food security transitions were associated with aspects of low diet quality and poorer behavioral and mental health outcomes among college students.
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Affiliation(s)
- Melissa J Slotnick
- Department of Nutritional Sciences, School of Public Health, The University of Michigan, Ann Arbor, MI, USA
| | - Saba Ansari
- Department of Health Management and Policy, School of Public Health, The University of Michigan, Ann Arbor, MI, USA
| | | | | | - Julia A Wolfson
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Cindy W Leung
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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Tang Z, Yang X, Tan W, Ke Y, Kou C, Zhang M, Liu L, Zhang Y, Li X, Li W, Wang SB. Patterns of unhealthy lifestyle and their associations with depressive and anxiety symptoms among Chinese young adults: A latent class analysis. J Affect Disord 2024; 352:267-277. [PMID: 38378090 DOI: 10.1016/j.jad.2024.02.055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 02/10/2024] [Accepted: 02/14/2024] [Indexed: 02/22/2024]
Abstract
BACKGROUND There is little evidence on the association between patterns of unhealthy lifestyle and mental health among young adults. METHOD This study included a total of 28,978 young adults aged 18 to 44 years old in Guangdong province in south China, which was conducted from September to December in 2022. We used latent class analysis to classify the patterns of unhealthy lifestyle among young adults and used multiple logistic regression to explore their associations with depressive and anxiety symptoms. RESULT The weighted prevalence of depressive and anxiety symptoms were 28.0 % and 19.5 %, respectively. The cumulative effect of unhealthy lifestyles on depressive and anxiety symptoms was significant. Five patterns of unhealthy lifestyle were classified. Compared to the relatively healthy lifestyle class, the class with more unhealthy lifestyles (OR = 6.54, 95 % CI: 5.70-7.51) and insufficient sleep (OR = 6.16, 95 % CI: 4.92-7.70) had higher risk for depressive and anxiety symptoms. Meaningfully, having adequate mental health literacy could reduce the risk of depressive and anxiety symptoms from unhealthy lifestyle by half. LIMITATIONS The cross-section design study limited causal inferences, and the self-report information may lead to recall bias. CONCLUSIONS Unhealthy lifestyles have a negative impact on depressive and anxiety symptoms through independent, cumulative and combined effects, and they could be interrelated. Unhealthy lifestyle patterns differed in younger population by socio-demographic characteristics and mental health literacy. Health-care professionals and policymakers may provide programs to intervene multiple unhealthy lifestyles and improve mental health literacy by integrating healthy lifestyle education to promote youngers' mental health.
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Affiliation(s)
- Zhitao Tang
- Department of Social Medicine and Health Management, School of Public Health, Jilin University, Changchun, Jilin province, China
| | - Xinyan Yang
- Department of Social Medicine and Health Management, School of Public Health, Jilin University, Changchun, Jilin province, China
| | - Wenyan Tan
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong Province, China
| | - Yunfei Ke
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong Province, China
| | - Changgui Kou
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin province, China
| | - Min Zhang
- Department of Social Medicine and Health Management, School of Public Health, Jilin University, Changchun, Jilin province, China
| | - Lijie Liu
- Department of Social Medicine and Health Management, School of Public Health, Jilin University, Changchun, Jilin province, China
| | - Yali Zhang
- Department of Social Medicine and Health Management, School of Public Health, Jilin University, Changchun, Jilin province, China
| | - Xue Li
- Department of Social Medicine and Health Management, School of Public Health, Jilin University, Changchun, Jilin province, China
| | - Wenjun Li
- Department of Social Medicine and Health Management, School of Public Health, Jilin University, Changchun, Jilin province, China.
| | - Shi-Bin Wang
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong Province, China; School of Health, Zhuhai College of Science and Technology, Zhuhai, Guangdong Province, China.
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Çam HH, Top FU. Prevalence and determinants of behavioral risk factors for noncommunicable diseases among students aged 13-19 years in Turkey. Arch Pediatr 2024; 31:270-276. [PMID: 38679546 DOI: 10.1016/j.arcped.2024.01.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 01/05/2024] [Accepted: 01/18/2024] [Indexed: 05/01/2024]
Abstract
OBJECTIVE The aim of this study was to investigate the prevalence and determinants of behavioral risk factors for noncommunicable diseases (NCDs) among students aged 13-19 years in Turkey. METHODS This cross-sectional study included a total of 1218 high-school students (mean age = 15.97 years; 57.6 % females) in Turkey. A facilitated survey in the form of a questionnaire was used to gather data. Questions from the Global School-Based Student Health Survey were adapted for the study, and the responses were analyzed using IBM SPSS Statistics 28. Binary logistic regression and Poisson regression were applied to identify the contributing factors. RESULTS The prevalence of inadequate fruit and vegetable consumption was 85.5 %, sedentary leisure behavior 80.9 %, physical inactivity 65.3 %, carbonated soft drink consumption 60.4 %, overweight or obesity 38.1 %, current tobacco use 23.1 %, and current alcohol use 14.5 %. The adjusted Poisson regression analysis showed that the odds for having behavioral risk factors were increased by being male, being in grade 11, and attending physical education classes, whereas the odds were reduced by having multiple psychological distress issues, regularly attending school, and having moderate or high parental support. CONCLUSION The prevalence of clustering of modifiable risk factors for NCDs was high among students aged 13-19 years in Turkey, and there is a need to mount effective interventions. Risk factors for these diseases are often preventable: Appropriate health interventions before, during, and after pregnancy as well as throughout childhood and adolescence can significantly reduce their prevalence.
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Affiliation(s)
- Hasan Hüseyin Çam
- Yusuf Şerefoğlu Faculty of Health Sciences, Department of Public Health Nursing, Kilis 7 Aralık University, Kilis, Turkey.
| | - Fadime Ustuner Top
- Faculty of Health Sciences, Department of Child Health and Disease Nursing, Giresun University, Giresun, Turkey
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Benebo FO, Lukic M, Jakobsen MD, Braaten TB. The role of lifestyle factors in the association between education and self-reported fibromyalgia: a mediation analysis. BMC Womens Health 2024; 24:244. [PMID: 38632566 PMCID: PMC11022321 DOI: 10.1186/s12905-024-03060-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 03/28/2024] [Indexed: 04/19/2024] Open
Abstract
BACKGROUND Socioeconomic status as measured by education, income, or occupation, has been associated with fibromyalgia but the underlying mechanism and the role of lifestyle factors are unclear. Thus, we examine the role of modifiable lifestyle factors (body mass index, physical activity, alcohol consumption and smoking) in the association between education and self-reported fibromyalgia. METHODS We used data from 74,157 participants in the population-based prospective Norwegian Women and Cancer (NOWAC) study. Socioeconomic position, operationalized as years of educational attainment, and lifestyle factors were assessed via self-reported questionnaires. Multiple mediation analysis was used to decompose total effects into direct and indirect effects. Estimates were reported as hazard ratios (HRs) with 95% confidence intervals (CIs). RESULTS The cumulative incidence of fibromyalgia was 3.2% after a median follow up time of 13 years. Fibromyalgia was inversely associated with years of educational attainment for ≤ 9 years (HR = 2.56; 95% CI 2.32-2.91) and for 10-12 years (HR = 1.84; 95% CI 1.72-2.02), compared with ≥ 13 years of education. Overall, all lifestyle factors together jointly mediated 17.3% (95% CI 14.3-21.6) and 14.1% (95% CI 11.3-18.9) of the total effect for ≤ 9 years and 10-12 years of education, respectively. Smoking and alcohol consumption contributed the most to the proportion mediated, for ≤ 9 years (5.0% and 7.0%) and 10-12 years (5.6% and 4.5%) of education. CONCLUSION The association between education and self-reported fibromyalgia was partly explained through lifestyle factors, mainly smoking and alcohol consumption.
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Affiliation(s)
- Faith Owunari Benebo
- Department of Community Medicine, UiT The Artic University of Norway, Tromsø, Norway.
| | - Marko Lukic
- Department of Community Medicine, UiT The Artic University of Norway, Tromsø, Norway
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Arellano Spano M, Morris TT, Davies NM, Hughes A. Genetic associations of risk behaviours and educational achievement. Commun Biol 2024; 7:435. [PMID: 38600303 PMCID: PMC11006670 DOI: 10.1038/s42003-024-06091-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 03/22/2024] [Indexed: 04/12/2024] Open
Abstract
Risk behaviours are common in adolescent and persist into adulthood, people who engage in more risk behaviours are more likely to have lower educational attainment. We applied genetic causal inference methods to explore the causal relationship between adolescent risk behaviours and educational achievement. Risk behaviours were phenotypically associated with educational achievement at age 16 after adjusting for confounders (-0.11, 95%CI: -0.11, -0.09). Genomic-based restricted maximum likelihood (GREML) results indicated that both traits were heritable and have a shared genetic architecture (Riskh 2 = 0.18, 95% CI: -0.11,0.47; educationh 2 = 0.60, 95%CI: 0.50,0.70). Consistent with the phenotypic results, genetic variation associated with risk behaviour was negatively associated with education (r g = -0.51, 95%CI: -1.04,0.02). Lastly, the bidirectional MR results indicate that educational achievement or a closely related trait is likely to affect risk behaviours PGI (β=-1.04, 95% CI: -1.41, -0.67), but we found little evidence that the genetic variation associated with risk behaviours affected educational achievement (β=0.00, 95% CI: -0.24,0.24). The results suggest engagement in risk behaviour may be partly driven by educational achievement or a closely related trait.
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Affiliation(s)
- Michelle Arellano Spano
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, BS8 2BN, United Kingdom.
- Population Health Sciences, Bristol Medical School, University of Bristol, Barley House, Oakfield Grove, Bristol, BS8 2BN, United Kingdom.
| | - Tim T Morris
- Centre for Longitudinal Studies, Social Research Institute, University College London, London, United Kingdom
| | - Neil M Davies
- Division of Psychiatry, University College London, Maple House, 149 Tottenham Court Rd, London, W1T 7NF, United Kingdom
- Department of Statistical Sciences, University College London, London, WC1E 6BT, United Kingdom
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, 7491, Trondheim, Norway
| | - Amanda Hughes
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, BS8 2BN, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Barley House, Oakfield Grove, Bristol, BS8 2BN, United Kingdom
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Li X, Dessie Y, Mwanyika-Sando M, Assefa N, Millogo O, Manu A, Chukwu A, Bukenya J, Patil R, Zou S, Zhang H, Nurhussien L, Tinkasimile A, Bärnighausen T, Shinde S, Fawzi WW, Tang K. Co-occurrence of and factors associated with health risk behaviors among adolescents: a multi-center study in sub-Saharan Africa, China, and India. EClinicalMedicine 2024; 70:102525. [PMID: 38533342 PMCID: PMC10963189 DOI: 10.1016/j.eclinm.2024.102525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2023] [Revised: 02/18/2024] [Accepted: 02/20/2024] [Indexed: 03/28/2024] Open
Abstract
Background Despite lifelong and detrimental effects, the co-occurrence of health risk behaviors (HRBs) during adolescence remains understudied in low- and middle-income countries. This study examines the co-occurrence of HRBs and its correlates among adolescents in sub-Saharan Africa, China, and India. Methods A multi-country cross-sectional study was conducted in 2021-2022, involving 9697 adolescents (aged 10-19 years) from eight countries, namely Burkina Faso, China, Ethiopia, India, Ghana, Nigeria, Tanzania, and Uganda. A standardized questionnaire was administered to examine five types of HRBs - physical inactivity, poor dietary habits, smoking, alcohol consumption, and risky sexual behavior. Latent class analysis was employed to identify clustering patterns among the behaviors, and logistic regression was used to identify the correlates of these patterns. Findings Three clusters of HRBs were identified, with Cluster 1 (27.73%) characterized by the absence of any specific risky behavior, Cluster 2 (68.16%) characterized by co-occurrence of physical inactivity and poor dietary habits, and Cluster 3 (4.11%) characterized by engagement in smoking, alcohol consumption, and risky sexual behavior. Relative to Cluster 1, being in Cluster 2 was associated with being female (aOR 1.20, 95% CI 1.09-1.32), not enrolled in education (aOR 0.84, 95% CI 0.71-0.99), and not engaged in paid work (aOR 1.23, 95% CI 1.08-1.41). Compared with those Cluster 1, adolescents in Cluster 3 were less likely to be female (aOR 0.41, 95% CI 0.32-0.54), be engaged in paid work (aOR 0.54, 95% CI 0.41-0.71), more likely to be older (aOR 7.56, 95% CI 5.18-11.03), not be enrolled in educational institution (aOR 1.74, 95% CI 1.27-2.38), and more likely to live with guardians other than parents (aOR 1.56, 95% CI 1.19-2.05). Interpretation The significant clustering patterns of HRBs among adolescents in sub-Saharan Africa, China, and India highlights the urgent need for convergent approaches to improve adolescent health behaviors. Early life and school-based programs aimed at promoting healthy behaviors and preventing risky and unhealthy behaviors should be prioritized to equip adolescents with the tools and skills for lifelong well-being. Funding Fondation Botnar (Grant #INV-037672) and Harvard T.H. Chan School of Public Health, partially funded this study.
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Affiliation(s)
- Xuan Li
- Vanke School of Public Health, Tsinghua University, China
| | - Yadeta Dessie
- College of Health and Medical Sciences, Haramaya University, Ethiopia
| | | | - Nega Assefa
- College of Health and Medical Sciences, Haramaya University, Ethiopia
| | | | - Adom Manu
- Department of Population, Family, and Reproductive Health, University of Ghana, Ghana
| | - Angela Chukwu
- Department of Statistics, University of Ibadan, Nigeria
| | | | | | - Siyu Zou
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, United States of America
| | - Hanxiyue Zhang
- Vanke School of Public Health, Tsinghua University, China
| | - Lina Nurhussien
- Department of Global Health and Population, T. H. Chan School of Public Health, Harvard University, United States of America
| | | | - Till Bärnighausen
- Department of Global Health and Population, T. H. Chan School of Public Health, Harvard University, United States of America
- Heidelberg Institute of Global Health, Heidelberg University, Heidelberg, Germany
| | - Sachin Shinde
- Department of Global Health and Population, T. H. Chan School of Public Health, Harvard University, United States of America
| | - Wafaie W. Fawzi
- Department of Global Health and Population, T. H. Chan School of Public Health, Harvard University, United States of America
| | - Kun Tang
- Vanke School of Public Health, Tsinghua University, China
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Alobaidi F, Heidari E, Sabbah W. Systematic review of longitudinal studies on the association between cluster of health-related behaviors and tooth loss among adults. Acta Odontol Scand 2024; 83:54-68. [PMID: 38014435 PMCID: PMC11302646 DOI: 10.1080/00016357.2023.2287718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 11/08/2023] [Accepted: 11/21/2023] [Indexed: 11/29/2023]
Abstract
OBJECTIVES To systematically review longitudinal studies on the association between cluster of/multiple health-related behaviors and tooth loss among adults. Materials and methods: Inclusion criteria were prospective and retrospective longitudinal studies; adults; multiple or cluster of behaviors; tooth loss, one or more tooth lost and complete tooth loss. Exclusion criteria were intervention studies; cross-sectional studies; case-control studies; children under 18 years-old; single behavior. Two reviewers searched three databases up to April 2023. Open Grey and Google Scholar were searched for grey literature. Results: Twelve longitudinal studies were included in this review. Nine studies had good quality, two had poor quality, and one had fair quality according to New-Castle-Ottawa Scale. According to ROBINS-E tool, nine studies were judged as moderate risk of bias while two studies were at low risk of bias and one study had serious risk of bias. One study assessed cluster of behavior, while others examined a number of separate health-related behaviors in relation to tooth loss. Meta-analysis was not feasible because of the high heterogeneity in exposure, measure of outcomes, covariates, sample size, and follow-up time. The research found an association between tooth loss and oral hygiene practices (two studies), dental attendance (four studies), smoking (six studies), and alcohol consumption (three studies). Conclusion: This review provides evidence of a longitudinal association between cluster of/multiple health related-behaviors and tooth loss.
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Affiliation(s)
- Fatimah Alobaidi
- Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, UK.
| | - Ellie Heidari
- Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, UK
| | - Wael Sabbah
- Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, UK
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Raitasalo K, Rossow I, Moan IS, Bye EK, Svensson J, Thor S, Ekholm O, Pisinger V, Arnarsson Á, Bloomfield K. Changes in co-use of alcohol and cannabis among Nordic adolescents in the 21st century: Results from the European School Survey Project on Alcohol and Other Drugs study. Drug Alcohol Rev 2024; 43:616-624. [PMID: 37095643 DOI: 10.1111/dar.13672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 04/03/2023] [Accepted: 04/05/2023] [Indexed: 04/26/2023]
Abstract
INTRODUCTION In the 21st century, there has been a decline in alcohol use among adolescents in most Nordic countries, while trends of cannabis use have diverged. We explore how alcohol and cannabis use, respectively, and co-use of the two substances, have changed among Nordic adolescents. Three hypotheses are used to frame the study: (i) cannabis use has substituted alcohol use; (ii) there has been a parallel decline in both substances; and/or (iii) there has been a 'hardening' of users, implying that alcohol users increasingly use cannabis. METHODS Data from the European School Survey Project on Alcohol and Other Drugs, conducted among 15- to 16-year-olds in Denmark, Finland, Iceland, Norway and Sweden (N = 74,700, 49% boys), were used to explore trends of past-year alcohol and cannabis use in the period 2003-2019. RESULTS The proportion of adolescents reporting alcohol use decreased significantly in all Nordic countries except Denmark. The proportion of those using cannabis only was low (0.0%-0.7%) and stable in all countries. The total number of substance use occasions declined among all adolescents in all countries but Denmark. Among alcohol users, cannabis use became increasingly prevalent in all countries but Denmark. DISCUSSION AND CONCLUSIONS We found no support for the 'parallel decline hypothesis' in alcohol and cannabis use among Nordic adolescents. Partially in line with the 'substitution hypothesis', cannabis use accounted for an increasing proportion of all substance use occasions. Our results suggests that the co-use of alcohol and cannabis has become more common, thus also providing support to the 'hardening' hypothesis.
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Affiliation(s)
- Kirsimarja Raitasalo
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | | | | | - Elin K Bye
- Norwegian Institute of Public Health, Oslo, Norway
| | - Johan Svensson
- Karolinska Institutet, Stockholm University, Stockholm, Sweden
| | - Siri Thor
- Karolinska Institutet, Stockholm University, Stockholm, Sweden
| | - Ola Ekholm
- National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
| | - Veronica Pisinger
- National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
| | | | - Kim Bloomfield
- Centre for Alcohol and Drug Research, Aarhus University, Copenhagen, Denmark
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Wang J, Xie Y, Zhang Y, Xu H, Zhang X, Wan Y, Tao F. The relationship between cumulative ecological risk and health risk behaviors among Chinese adolescents. BMC Public Health 2024; 24:603. [PMID: 38403637 PMCID: PMC10895731 DOI: 10.1186/s12889-024-17934-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 01/30/2024] [Indexed: 02/27/2024] Open
Abstract
OBJECTIVES To explore the relationship between cumulative ecological risk and individual risky behavior and multiple forms of aggregated behaviors among adolescents, and examine the gender differences. METHODS A large-scale, nationally representative, and students-based investigation was conducted in rural and urban areas of eight provinces in China from October to December 2021. A total of 22 868 adolescents with an average age of 14.64 years completely standardized questionnaire in which the sociodemographic characteristics, socio-ecological risk factors and risky behaviors were used to analyze. RESULTS Of included students, 48.4% encountered the high level of social-ecological risk. The prevalence of breakfast intake not daily, alcohol use (AU), smoking, physical inactivity, prolonged screen time (ST) on weekdays and weekends, suicidal ideation, suicidal plan, suicidal attempt, and non-suicidal self-injury (NSSI) was 41.0%, 11.9%, 3.4%, 61.9%, 15.1%, 51.1%, 27.7%, 13.9%, 6.5% and 27.0% respectively. 22.2% of participants engaged in high-risk behaviors. All were significantly influences of increased cumulative ecological risk on individual behavior and low-risk clustering behaviors separately. The odds ratio of breakfast intake not daily, AU, smoking, physical inactivity, prolonged ST in weekday and weekend, suicidal ideation, suicidal plan, suicidal attempt, and NSSI for the adjusted model in low versus high level of cumulative ecological risk was respectively significant in both boy and girls, and the ratio of odds ratios (ROR) was separately 0.95 (p = 0.228), 0.67 (p < 0.001), 0.44 (p < 0.001), 0.60 (p < 0.001), 0.78 (p = 0.001), 0.83 (p = 0.001), 0.80 (p = 0.001), 0.83 (p = 0.022), 0.71 (p = 0.005), 0.75 (p = 0.001). Girls encountering a high level of cumulative ecological risk were more likely to engage in multiple forms of clustering risky behaviors than boys (RORs: 0.77, p = 0.001). CONCLUSIONS Research and effective inventions at the social-ecological environment, based on the view of cumulative risk, are needed to promote the healthy development of behaviors in adolescence, and pay more attention to decreasing the occurrence of risky behaviours in girls than boys.
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Affiliation(s)
- Jiaojiao Wang
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Yang Xie
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Anhui Provincial Key Laboratory of Population Health & Aristogenics, Anhui Medical University, Hefei, Anhui, China
- Moe Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei, Anhui, China
- NHC Key Laboratory of Study On Abnormal Gametes and Reproductive Tract, Hefei, Anhui, China
| | - Yi Zhang
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Anhui Provincial Key Laboratory of Population Health & Aristogenics, Anhui Medical University, Hefei, Anhui, China
- Moe Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei, Anhui, China
- NHC Key Laboratory of Study On Abnormal Gametes and Reproductive Tract, Hefei, Anhui, China
| | - Huiqiong Xu
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Anhui Provincial Key Laboratory of Population Health & Aristogenics, Anhui Medical University, Hefei, Anhui, China
- Moe Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei, Anhui, China
- NHC Key Laboratory of Study On Abnormal Gametes and Reproductive Tract, Hefei, Anhui, China
| | - Xianglin Zhang
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Yuhui Wan
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Anhui Provincial Key Laboratory of Population Health & Aristogenics, Anhui Medical University, Hefei, Anhui, China
- Moe Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei, Anhui, China
- NHC Key Laboratory of Study On Abnormal Gametes and Reproductive Tract, Hefei, Anhui, China
| | - Fangbiao Tao
- Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
- Anhui Provincial Key Laboratory of Population Health & Aristogenics, Anhui Medical University, Hefei, Anhui, China.
- Moe Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei, Anhui, China.
- NHC Key Laboratory of Study On Abnormal Gametes and Reproductive Tract, Hefei, Anhui, China.
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