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The relationship between indoor tanning and body mass index, physical activity, or dietary practices: a systematic review. J Behav Med 2018; 42:188-203. [DOI: 10.1007/s10865-018-9991-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2018] [Accepted: 11/08/2018] [Indexed: 01/13/2023]
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Glenn BA, Crespi CM, Rodriguez HP, Nonzee NJ, Phillips SM, Sheinfeld Gorin SN, Johnson SB, Fernandez ME, Estabrooks P, Kessler R, Roby DH, Heurtin-Roberts S, Rohweder CL, Ory MG, Krist AH. Behavioral and mental health risk factor profiles among diverse primary care patients. Prev Med 2018; 111:21-27. [PMID: 29277413 PMCID: PMC5930037 DOI: 10.1016/j.ypmed.2017.12.009] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2017] [Revised: 12/02/2017] [Accepted: 12/13/2017] [Indexed: 10/18/2022]
Abstract
Behavioral and mental health risk factors are prevalent among primary care patients and contribute substantially to premature morbidity and mortality and increased health care utilization and costs. Although prior studies have found most adults screen positive for multiple risk factors, limited research has attempted to identify factors that most commonly co-occur, which may guide future interventions. The purpose of this study was to identify subgroups of primary care patients with co-occurring risk factors and to examine sociodemographic characteristics associated with these subgroups. We assessed 12 behavioral health risk factors in a sample of adults (n=1628) receiving care from nine primary care practices across six U.S. states in 2013. Using latent class analysis, we identified four distinct patient subgroups: a 'Mental Health Risk' class (prevalence=14%; low physical activity, high stress, depressive symptoms, anxiety, and sleepiness), a 'Substance Use Risk' class (29%; highest tobacco, drug, alcohol use), a 'Dietary Risk' class (29%; high BMI, poor diet), and a 'Lower Risk' class (27%). Compared to the Lower Risk class, patients in the Mental Health Risk class were younger and less likely to be Latino/Hispanic, married, college educated, or employed. Patients in the Substance Use class tended to be younger, male, African American, unmarried, and less educated. African Americans were over 7 times more likely to be in the Dietary Risk versus Lower Risk class (OR 7.7, 95% CI 4.0-14.8). Given the heavy burden of behavioral health issues in primary care, efficiently addressing co-occurring risk factors in this setting is critical.
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Affiliation(s)
- Beth A Glenn
- Center for Cancer Prevention and Control Research, UCLA Kaiser Permanente Center for Health Equity, Department of Health Policy and Management, Fielding School of Public Health, Jonsson Comprehensive Cancer Center, University of California, Los Angeles, 650 Charles Young Drive South, Los Angeles, CA 90095, USA.
| | - Catherine M Crespi
- Center for Cancer Prevention and Control Research, Department of Biostatistics, Fielding School of Public Health, Jonsson Comprehensive Cancer Center, University of California, Los Angeles, 650 Charles Young Drive South, Los Angeles, CA 90095, USA
| | - Hector P Rodriguez
- Division of Health Policy and Management, University of California, Berkeley School of Public Health, 50 University Hall, Berkeley, CA 94720, USA
| | - Narissa J Nonzee
- Center for Cancer Prevention and Control Research, UCLA Kaiser Permanente Center for Health Equity, Department of Health Policy and Management, Fielding School of Public Health, Jonsson Comprehensive Cancer Center, University of California, Los Angeles, 650 Charles Young Drive South, Los Angeles, CA 90095, USA
| | - Siobhan M Phillips
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 North Lake Shore Drive, Chicago, IL 60611, USA
| | - Sherri N Sheinfeld Gorin
- New York Physicians against Cancer (NYPAC), Herbert Irving Comprehensive Cancer Center, New York, NY 10032, USA; Division of Cancer Control and Population Sciences (Leidos Biomedical Research, Inc.), National Cancer Institute, 6130 Executive Plaza, Bethesda, MD 20892, USA
| | - Sallie Beth Johnson
- Department of Health Sciences Administration, Jefferson College of Health Sciences at Carilion Clinic, 101 Elm Avenue, Roanoke, VA 24016, USA; Department of Family and Community Medicine, Virginia Tech Carilion School of Medicine, 2 Riverside Circle, Roanoke, VA 24016, USA
| | - Maria E Fernandez
- University of Texas Health Science Center at Houston, School of Public Health, 7000 Fannin Street, Houston, TX 77030, USA
| | - Paul Estabrooks
- Department of Health Promotion, University of Nebraska Medical Center, 986075 Nebraska Medical Center, Omaha, NE 68198, USA
| | - Rodger Kessler
- Doctor of Behavorial Health Program, College of Health Solutions, Arizona State University, 500 North 3rd Street, Phoenix, AZ 85004, USA
| | - Dylan H Roby
- Department of Health Services Administration, University of Maryland School of Public Health, 4200 Valley Drive, College Park, MD 20742, USA
| | - Suzanne Heurtin-Roberts
- Implementation Science Team, Division of Cancer Control and Population Sciences, National Cancer Institute, 6130 Executive Boulevard, Rockville, MD 20852, USA
| | - Catherine L Rohweder
- UNC Center for Health Promotion and Disease Prevention, The University of North Carolina at Chapel Hill, NC 27599, USA
| | - Marcia G Ory
- Center for Population Health and Aging, Texas A&M Health Sciences Center, College Station, TX 77843, USA
| | - Alex H Krist
- Department of Family Medicine and Population Health, Virginia Commonwealth University, PO Box 980251, Richmond, VA 23298, USA
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Coa KI, Augustson E, Kaufman A. The Impact of Weight and Weight-Related Perceptions on Smoking Status Among Young Adults in a Text-Messaging Cessation Program. Nicotine Tob Res 2018; 20:614-619. [PMID: 28340132 DOI: 10.1093/ntr/ntx053] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2016] [Accepted: 03/01/2017] [Indexed: 12/30/2022]
Abstract
Introduction Weight gain and concerns about weight can influence a smoker's ability to successfully quit, and young adults are a subgroup of smokers who are particularly concerned about the impact of quitting on their body weight. This study explored the associations between body mass index, weight perceptions, and smoking status among young adults. Methods The sample consisted of 4027 young adults between the ages of 18 and 29 who participated in a randomized control trial of the National Cancer Institute's SmokefreeTXT program. Multivariable logistic regression models were used to examine the associations between weight related variables and smoking status. Results Obese participants had a 0.72 lower odds (95% CI: 0.62, 0.85) of reporting smoking at the end of the program than participants of normal weight, and this difference persisted over time. Weight perceptions were also associated with smoking status. Those who perceived themselves to be slightly underweight/underweight were more likely to report smoking than those who reported being just about the right weight (OR: 1.53, 95% CI: 1.20, 1.95), and those who strongly disagreed that smoking cigarettes helps people keep their weight down were less likely to report smoking at the end of treatment than those who neither agreed nor disagreed with this statement (OR: 0.69, 95% CI: 0.54, 0.87). Conclusions Weight related factors assessed at baseline predicted smoking status at the end of treatment and through long term follow-up. Smoking cessation programs that tailor content to addresses the specific needs of weight concerned smokers may enhance effectiveness. Implications This study explores the association between weight related factors and smoking status among young adults, a priority population for smoking cessation efforts. This study demonstrates that both actual weight and weight perceptions (eg, perception of body weight, perception of associations between smoking and weight) are associated with smoking outcomes, and thus need to be a considered in the development of smoking cessation programs.
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Affiliation(s)
| | - Erik Augustson
- Tobacco Control Research Branch, National Cancer Institute, Rockville, MD
| | - Annette Kaufman
- Tobacco Control Research Branch, National Cancer Institute, Rockville, MD
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Murawski B, Plotnikoff RC, Rayward AT, Vandelanotte C, Brown WJ, Duncan MJ. Randomised controlled trial using a theory-based m-health intervention to improve physical activity and sleep health in adults: the Synergy Study protocol. BMJ Open 2018; 8:e018997. [PMID: 29439005 PMCID: PMC5829671 DOI: 10.1136/bmjopen-2017-018997] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2017] [Revised: 10/18/2017] [Accepted: 11/14/2017] [Indexed: 12/15/2022] Open
Abstract
INTRODUCTION There is a need to reduce physical inactivity and poor sleep health in the adult population to decrease chronic disease rates and the associated burden. Given the high prevalence of these risk behaviours, effective interventions with potential for wide reach are warranted. METHODS AND ANALYSIS The aim of this two-arm RCT will be to test the effect of a three month personalised mobile app intervention on two main outcomes: minutes of moderate-to-vigorous-intensity physical activity and overall sleep quality. In addition, between-group changes in health-related quality of life and mental health status will be assessed as secondary outcomes. The pre-specified mediators and moderators include social cognitive factors, the neighbourhood environment, health (BMI, depression, anxiety, stress), sociodemographic factors (age, gender, education) and app usage. Assessments will be conducted after three months (primary endpoint) and six months (follow-up). The intervention will provide access to a specifically developed mobile app, through which participants can set goals for active minutes, daily step counts, resistance training, sleep times and sleep hygiene practice. The app also allows participants to log their behaviours daily and view progress bars as well as instant feedback in relation to goals. The personalised support system will consist of weekly summary reports, educational and instructional materials, prompts on disengagement and weekly facts. ETHICS AND DISSEMINATION The Human Research Ethics Committee of The University of Newcastle, Australia granted full approval: H-2016-0181. This study will assess the efficacy of a combined behaviour intervention, mechanisms of behaviour change and gather high-quality process data, all of which will help refine future trials. Dissemination of findings will include publication in a peer-reviewed journal and presentation at national or international conferences. Participants will receive a plain English summary report of results. TRIAL REGISTRATION NUMBER ACTRN12617000376347; Pre-results.
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Affiliation(s)
- Beatrice Murawski
- Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Newcastle, Australia
- School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia
| | - Ronald C Plotnikoff
- Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Newcastle, Australia
- School of Education, Faculty of Education and Arts, University of Newcastle, Callaghan, Australia
| | - Anna T Rayward
- Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Newcastle, Australia
- School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia
| | - Corneel Vandelanotte
- School of Health, Medical and Applied Science, Physical Activity Research Group, Central Queensland University, Rockhampton, Australia
| | - Wendy J Brown
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Studies, The University of Queensland, Brisbane, Australia
| | - Mitch J Duncan
- Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Newcastle, Australia
- School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia
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Vincent GE, Jay SM, Sargent C, Vandelanotte C, Ridgers ND, Ferguson SA. Improving Cardiometabolic Health with Diet, Physical Activity, and Breaking Up Sitting: What about Sleep? Front Physiol 2017; 8:865. [PMID: 29167645 PMCID: PMC5682337 DOI: 10.3389/fphys.2017.00865] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2017] [Accepted: 10/16/2017] [Indexed: 12/21/2022] Open
Abstract
Cardiometabolic disease poses a serious health and economic burden worldwide and its prevalence is predicted to increase. Prolonged sitting, lack of physical activity, poor diet, and short sleep duration are ubiquitous behaviors in modern society, and all are independent risk factors in the development of cardiometabolic disease. Existing evidence demonstrates that breaking up prolonged periods of sitting is beneficial for cardiometabolic health, however, studies have not controlled for prior sleep duration. This article examines how prolonged sitting and short sleep duration independently contribute to cardiometabolic risk, and how breaking up sitting and obtaining adequate sleep may reduce this risk. We suggest that as prolonged sitting and short sleep duration influence the same cardiometabolic parameters, there is potential for short sleep to attenuate the positive impact of breaking up prolonged sitting with physical activity. Likewise, breaking up prolonged sitting and obtaining adequate sleep together could improve predictors of cardiometabolic disease, i.e., the combined effect may be stronger than either alone. To explore these perspectives, we propose a research agenda to investigate the relationship between breaking up prolonged sitting with physical activity and short sleep duration. This will provide an evidence-base for informing the design of interventions to reduce the burden of cardiometabolic disease on communities worldwide.
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Affiliation(s)
- Grace E. Vincent
- Health, Medical and Applied Sciences, Central Queensland University, Rockhampton, QLD, Australia
| | - Sarah M. Jay
- Health, Medical and Applied Sciences, Central Queensland University, Rockhampton, QLD, Australia
| | - Charli Sargent
- Health, Medical and Applied Sciences, Central Queensland University, Rockhampton, QLD, Australia
| | - Corneel Vandelanotte
- Health, Medical and Applied Sciences, Central Queensland University, Rockhampton, QLD, Australia
| | - Nicola D. Ridgers
- Institute of Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC, Australia
| | - Sally A. Ferguson
- Health, Medical and Applied Sciences, Central Queensland University, Rockhampton, QLD, Australia
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Greaney ML, Askew S, Wallington SF, Foley PB, Quintiliani LM, Bennett GG. The effect of a weight gain prevention intervention on moderate-vigorous physical activity among black women: the Shape Program. Int J Behav Nutr Phys Act 2017; 14:139. [PMID: 29037247 PMCID: PMC5644166 DOI: 10.1186/s12966-017-0596-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2017] [Accepted: 10/09/2017] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Rates of physical inactivity are high among Black women living in the United States with overweight or obesity, especially those living in the rural South. This study was conducted to determine if an efficacious weight gain prevention intervention increased moderate-vigorous physical activity (MVPA). METHODS The Shape Program, a weight gain prevention intervention implemented in community health centers in rural North Carolina, was designed for socioeconomically disadvantaged Black women with overweight or obesity. MVPA was measured using accelerometers, and summarized into 1- and 10-min bouts. We employed analyses of covariance (ANCOVA) to assess the relationship between changes in MVPA over 12 months, calculated as a change score, and intervention assignment (intervention versus usual care). RESULTS Participants completing both baseline and 12-month accelerometer assessments (n = 121) had a mean age of 36.1 (SD = 5.43) years and a mean body mass index of 30.24 kg/m2 (SD = 2.60). At baseline, 38% met the physical activity recommendation (150 min of MVPA/week) when assessed using 10-min bouts, and 76% met the recommendation when assessed using 1-min bouts. There were no significant differences in change in MVPA participation among participants randomized to the intervention from baseline to 12-months using 1-min bouts (adjusted intervention mean [95% CI]: 20.50 [-109.09 to 150.10] vs. adjusted usual care mean [95% CI]: -80.04 [-209.21 to 49.13], P = .29), or 10-min bouts (adjusted intervention mean [95% CI]: 7.39 [-83.57 to 98.35] vs. adjusted usual care mean [95% CI]: -17.26 [-107.93 to 73.40], P = .70). CONCLUSIONS Although prior research determined that the Shape intervention promoted weight gain prevention, MVPA did not increase significantly among intervention participants from baseline to 12 months. The classification of bouts had a marked effect on the prevalence estimates of those meeting physical activity recommendations. More research is needed to understand how to promote increased MVPA in weight gain prevention interventions. TRIAL REGISTRATION This study is registered at www.clinicaltrials.gov database (No. NCT00938535. Retrospectively Registered 7/10/2009).
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Affiliation(s)
- Mary L Greaney
- Department of Kinesiology and Health Studies, 25 West Independence Way, University of Rhode Island, Kingston, RI, 02881, USA.
| | - Sandy Askew
- Duke Global Digital Health Science Center, Duke Global Health Institute, Duke University, Durham, NC, 27710, USA
| | - Sherrie F Wallington
- Georgetown Lombardi Comprehensive Cancer Center, Georgetown University, Washington, D.C., 20007, USA
| | - Perry B Foley
- Duke Global Digital Health Science Center, Duke Global Health Institute, Duke University, Durham, NC, 27710, USA
| | - Lisa M Quintiliani
- Section of General Internal Medicine, Department of Medicine, Boston University, Boston, MA, 02118, USA
| | - Gary G Bennett
- Duke Global Digital Health Science Center, Duke Global Health Institute, Duke University, Durham, NC, 27710, USA.,Department of Psychology and Neuroscience, Duke University, Durham, NC, 27708, USA
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Nooijen CFJ, Möller J, Forsell Y, Ekblom M, Galanti MR, Engström K. Do unfavourable alcohol, smoking, nutrition and physical activity predict sustained leisure time sedentary behaviour? A population-based cohort study. Prev Med 2017; 101:23-27. [PMID: 28529160 DOI: 10.1016/j.ypmed.2017.05.019] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2017] [Revised: 04/25/2017] [Accepted: 05/17/2017] [Indexed: 12/20/2022]
Abstract
Comparing lifestyle of people remaining sedentary during longer periods of their life with those favourably changing their behaviour can provide cues to optimize interventions targeting sedentary behaviour. The objective of this study was to determine lifestyle predictors of sustained leisure time sedentary behaviour and assess whether these predictors were dependent on gender, age, socioeconomic position and occupational sedentary behaviour. Data from a large longitudinal population-based cohort of adults (aged 18-97years) in Stockholm responding to public health surveys in 2010 and 2014 were analysed (n=49,133). Leisure time sedentary behaviour was defined as >3h per day of leisure sitting time e.g. watching TV, reading or using tablet. Individuals classified as sedentary at baseline (n=9562) were subsequently categorized as remaining sedentary (n=6357) or reduced sedentary behaviour (n=3205) at follow-up. Lifestyle predictors were unfavourable alcohol consumption, smoking, nutrition, and physical activity. Odds ratios (OR) and corresponding 95% Confidence Intervals (CI) were calculated, adjusting for potential confounders. Unfavourable alcohol consumption (OR=1.22, CI:1.11-1.34), unfavourable candy- or cake consumption (OR=1.15, CI:1.05-1.25), and unfavourable physical activity in different contexts were found to predict sustained sedentary behaviour, with negligible differences according to gender, age, socioeconomic position and occupational sedentary behaviour. People with unfavourable lifestyle profiles regarding alcohol, sweets, or physical activity are more likely to remain sedentary compared to sedentary persons with healthier lifestyle. The impact of combining interventions to reduce leisure time sedentary behaviour with reducing alcohol drinking, sweet consumption and increasing physical activity should be tested as a promising strategy for behavioural modification.
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Affiliation(s)
- Carla F J Nooijen
- Department of Public Health Sciences, Karolinska Institutet, Solnavägen 1E, plan 6, 11365 Stockholm, Sweden.
| | - Jette Möller
- Department of Public Health Sciences, Karolinska Institutet, Solnavägen 1E, plan 6, 11365 Stockholm, Sweden
| | - Yvonne Forsell
- Department of Public Health Sciences, Karolinska Institutet, Solnavägen 1E, plan 6, 11365 Stockholm, Sweden; Centre for Epidemiology and Community Medicine, Stockholm Health Care District, Solnavägen 1E, plan 6, 11365 Stockholm, Sweden
| | - Maria Ekblom
- The Swedish School of Sport and Health Sciences (GIH), Lidingövägen 1, 114 33 Stockholm, Sweden; The Department of Neuroscience, Karolinska Institutet, Retzius Väg 8, 171 65 Solna, Sweden
| | - Maria R Galanti
- Department of Public Health Sciences, Karolinska Institutet, Solnavägen 1E, plan 6, 11365 Stockholm, Sweden; Centre for Epidemiology and Community Medicine, Stockholm Health Care District, Solnavägen 1E, plan 6, 11365 Stockholm, Sweden
| | - Karin Engström
- Department of Public Health Sciences, Karolinska Institutet, Solnavägen 1E, plan 6, 11365 Stockholm, Sweden; Centre for Epidemiology and Community Medicine, Stockholm Health Care District, Solnavägen 1E, plan 6, 11365 Stockholm, Sweden
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