LivingWELL: assessing the impact of a lifestyle intervention in people attending family history clinics with an increased risk of colorectal or breast cancer.
Ontology highlight
ABSTRACT: See http://www.cancerresearchuk.org/about-cancer/find-a-clinical-trial/a-study-looking-at-giving-lifestyle-advice-to-people-who-have-a-family-history-of-bowel-or-breast
DISEASE(S): Patients Attending Genetic Screening For Colorectal And/or Breast Cancer Risk
Project description:Interventions: We propose to conduct a prospective observational study to investigate how change in diet and lifestyle patterns over time impacts the development of precancerous colorectal lesions or colorectal cancer in individuals at above average risk of colorectal cancer and undergoing a colonoscopy surveillance - the ‘Southern Cooperative Program for the prevention of colorectal cancer’ (SCOOP). Data regarding patients’ colonoscopies will be extracted from the SCOOP database.
Participants enrolled in the SCOOP program will be invited to complete the diet and lifestyle survey over the period of three years (in years 1 (baseline survey), 2 and 3 (follow-up surveys)). The survey can be completed by the participants either online, by clicking on a provided link or scanning a QR code. It is expected that each survey will require around 40-50 minutes to be filled out. The exposure variables include:
-Dietary intake (using a validated food frequency questionnaire from the Australian Eating Survey),
-Physical activity (using the International Physical Activity Questionnaire (IPAQ-L)),
-Sleep patterns (Pittsburgh Sleep Quality Index (PSQI), Obstructive sleep apnoea screening questionnaire (OSAS), and Insomnia Severity Index questionnaire,
-Smoking status,
-Body mass index (BMI),
-Aspirin intake, and
-Comorbidities including diabetes.
Primary outcome(s): The primary outcome of this study will be the dietary pattern that will be assessed using a validated food frequency questionnaire. [This will be assessed at baseline (year 1), years 2 and 3 at anytime during the three year observation period. Individuals whose colonoscopies are due within one year will receive only one diet survey (baseline), while those whose colonoscopies are due in two years’ time will receive only two diet surveys before their next scheduled colonoscopy. Most patients under surveillance will receive regular colonoscopies at intervals of 3 or 5 years, and they will be able to take part in all three diet surveys until the next scheduled colonoscopy.];Another primary outcome of this study will be sleep quality assessed by a validated International Physical Activity Questionnaire (IPAQ-L). [This will be assessed at baseline (year 1), years 2 and 3 at anytime during the three year observation period. Individuals whose colonoscopies are due within one year will receive only one physical activity survey (baseline), while those whose colonoscopies are due in two years’ time will receive only two physical activity surveys before their next scheduled colonoscopy. Most patients under surveillance will receive regular colonoscopies at intervals of 3 or 5 years, and they will be able to take part in all three physical activity surveys until the next scheduled colonoscopy.];Another primary outcome of this study will be sleep quality assessed by a validated Pittsburgh Sleep Quality Index (PSQI). [This will be assessed at baseline (year 1), years 2 and 3 at anytime during the three year observation period. Individuals whose colonoscopies are due within one year will receive only one sleep survey (baseline), while those whose colonoscopies are due in two years’ time will receive only two sleep surveys before their next scheduled colonoscopy. Most patients under surveillance will receive regular colonoscopies at intervals of 3 or 5 years, and they will be able to take part in all three sleep surveys until the next scheduled colonoscopy.]
Study Design: Purpose: Screening;Duration: Longitudinal;Selection: Defined population;Timing: Prospective
Project description:OBJECTIVES:To assess the feasibility of delivering and evaluating a weight management (WM) programme for overweight patients with a family history (FH) of breast cancer (BC) or colorectal cancer (CRC). STUDY DESIGN:A two-arm (intervention vs usual care) randomised controlled trial. SETTING:National Health Service (NHS) Tayside and NHS Grampian. PARTICIPANTS:People with a FH of BC or CRC aged?18 years and body mass index of ?25?kg/m2 referred to NHS genetic services. INTERVENTION:Participants were randomised to a control (lifestyle booklet) or 12-week intervention arm where they were given one face-to-face counselling session, four telephone consultations and web-based support. A goal of 5% reduction in body weight was set, and a personalised diet and physical activity (PA) programme was provided. Behavioural change techniques (motivational interviewing, action and coping plans and implementation intentions) were used. PRIMARY OUTCOME:Feasibility measures: recruitment, programme implementation, fidelity measures, achieved measurements and retention, participant satisfaction assessed by questionnaire and qualitative interviews. SECONDARY OUTCOMES:Measured changes in weight and PA and reported diet and psychosocial measures between baseline and 12-week follow-up. RESULTS:Of 480 patients approached, 196 (41%) expressed interest in the study, and of those, 78 (40%) patients were randomised. Implementation of the programme was challenging within the time allotted and fidelity to the intervention modest (62%). Qualitative findings indicated the programme was well received. Questionnaires and anthropometric data were completed by >98%. Accelerometer data were attained by 84% and 54% at baseline and follow-up, respectively. Retention at 12 weeks was 76%. Overall, 36% of the intervention group (vs 0% in control) achieved 5%?weight loss. Favourable increases in PA and reduction in dietary fat were also reported. CONCLUSIONS:A lifestyle programme for people with a family history of cancer is feasible to conduct and acceptable to participants, and indicative results suggest favourable outcomes. TRIAL REGISTRATION NUMBER:ISRCTN13123470; Pre-results.
Project description:We show how to use reports of cancer in family members to discover additional genetic associations or confirm previous findings in genome-wide association (GWA) studies conducted in case-control, cohort, or cross-sectional studies. Our novel family history-based approach allows economical association studies for multiple cancers, without genotyping of relatives (as required in family studies), follow-up of participants (as required in cohort studies), or oversampling of specific cancer cases (as required in case-control studies). We empirically evaluate the performance of the proposed family history-based approach in studying associations with prostate and ovarian cancers, using data from GWA studies previously conducted within the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial. The family history-based method may be particularly useful for investigating genetic susceptibility to rare diseases for which accruing cases may be very difficult, by using disease information from nongenotyped relatives of participants in multiple case-control and cohort studies designed primarily for other purposes.
Project description:BackgroundFamily history is often referred to as a family tree in casual everyday conservations, but it carries a different connotation in medicine. This study is the first to investigate people's understanding of 'family medical history' and the concept of 'family' in the context of inherited cancer.MethodsThree hundred and nine staff at the Faculty of Medicine and Health, University of Leeds completed an online web survey.ResultsNot all respondents understood or knew what makes a family history of cancer. Only 54% knew exactly the type of information required to make a family history. Apart from blood relatives, adopted and step-siblings, step parents, in-laws, spouses, friends and colleagues were also named as 'family' for family history taking. Personal experience of living with cancer and academic qualification were not significant in influencing knowledge of family history.ConclusionsThere is misunderstanding and poor knowledge of family history of cancer and the type of information required to make a family history even in a sample of people teaching and researching medicine and health issues. Public understanding of the value of family medical history in cancer prevention and management is important if informed clinical decisions and appropriate health care are to be delivered.
Project description:BACKGROUND:Family history (FH) is an underutilized genetically informative tool that can influence disease prevention and treatment. It is unclear how FH fits into the development of community-based health education. This study examines the role that FH plays in perceived threat and health education related to mental and chronic physical conditions in the context of the health belief model. METHODS:Data were collected from 1,048 adult participants aged 18-90 years. Approximately 76% of participants indicated African-American race/ethnicity and 35% had less than high school level education. Self-report data were collected on FH of four disorders: anxiety, depression, diabetes, and high blood pressure. Interest in receiving information regarding prevention as well as future testing efforts was assessed broadly. A series of logistic regressions examined the association between FH for each of the disorders and interest in receiving information on (1) prevention of diseases in general and (2) testing for diseases in general. These associations were also analyzed after accounting for the influence of perceived threat of conditions. RESULTS:Interest in receiving general health education was significantly associated with FH of depression (OR?=?2.72, 95% CI?=?1.74-4.25), anxiety (OR?=?2.26, 95% CI?=?1.45-3.22), and high blood pressure (OR?=?2.54, 95% CI?=?1.05-6.12). After adjustment for perceived threat, the magnitude of these associations was reduced substantially. The associations between perceived threat and either interest in receiving information on disease testing or receiving general health education were strong and significant across all conditions (OR?=?2.11-3.74). DISCUSSION:These results provide evidence that perceived threat mediates the association between FH and engagement with health education. Currently available health education programs may benefit from considering the role of FH in an individual's motivation for participation in health education activities alongside other factors.
Project description:BackgroundFollicular lymphoma (FL) has been linked with cigarette smoking and, inconsistently, with other risk factors.MethodsWe assessed associations of medical, hormonal, family history, lifestyle, and occupational factors with FL risk in 3530 cases and 22639 controls from 19 case-control studies in the InterLymph consortium. Age-, race/ethnicity-, sex- and study-adjusted odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using logistic regression.ResultsMost risk factors that were evaluated showed no association, except for a few modest or sex-specific relationships. FL risk was increased in persons: with a first-degree relative with non-Hodgkin lymphoma (OR = 1.99; 95% CI = 1.55 to 2.54); with greater body mass index as a young adult (OR = 1.15; 95% CI = 1.04 to 1.27 per 5 kg/m(2) increase); who worked as spray painters (OR = 2.66; 95% CI = 1.36 to 5.24); and among women with Sjögren syndrome (OR = 3.37; 95% CI = 1.23 to 9.19). Lower FL risks were observed in persons: with asthma, hay fever, and food allergy (ORs = 0.79-0.85); blood transfusions (OR = 0.78; 95% CI = 0.68 to 0.89); high recreational sun exposure (OR = 0.74; 95% CI = 0.65 to 0.86, fourth vs first quartile); who worked as bakers or millers (OR = 0.51; 95% CI = 0.28 to 0.93) or university/higher education teachers (OR = 0.58; 95% CI = 0.41 to 0.83). Elevated risks specific to women included current and longer duration of cigarette use, whereas reduced risks included current alcohol use, hay fever, and food allergies. Other factors, including other autoimmune diseases, eczema, hepatitis C virus seropositivity, hormonal drugs, hair dye use, sun exposure, and farming, were not associated with FL risk.ConclusionsThe few relationships observed provide clues suggesting a multifactorial etiology of FL but are limited in the extent to which they explain FL occurrence.
Project description:BackgroundPatient perspectives on new programs to manage metabolic syndrome (MetS) are critical to evaluate for possible implementation in the primary healthcare system. Participants' perspectives were sought for the Canadian Health Advanced by Nutrition and Graded Exercise (CHANGE) study, which enrolled 293 participants, and demonstrated 19% reversal of MetS after 1 year. The main purpose of this study was to examine participants' perceptions of their experiences with the CHANGE program, enablers and barriers to change.MethodsA convergent parallel mixed methods design combined patients' perspectives collected by questionnaires (n = 164), with insights from focus groups (n = 41) from three sites across Canada. Qualitative data were thematically analyzed using interpretative description. Insights were organized within a socio-ecologic framework.ResultsKey aspects identified by participants included intra-individual factors (personal agency, increased time availability), inter-individual factors (trust, social aspects) and organizational factors (increased mental health support, tailored programs).ConclusionResults revealed participants' overall support for the CHANGE program, especially the importance of an extended program under the guidance of a family physician along with a skilled and supportive team. Team delivery of a lifestyle program in primary care or family medicine clinics is a complex intervention and use of a mixed methods design was helpful for exploring patient experiences and key issues on enablers and barriers to health behavior change.
Project description:Marginal zone lymphoma (MZL), comprised of nodal, extranodal, and splenic subtypes, accounts for 5%-10% of non-Hodgkin lymphoma cases. A detailed evaluation of the independent effects of risk factors for MZL and its subtypes has not been conducted.Data were pooled from 1052 MZL cases (extranodal [EMZL] = 633, nodal [NMZL] = 157, splenic [SMZL] = 140) and 13766 controls from 12 case-control studies. Adjusted unconditional logistic regression was used to compute odds ratios (ORs) and 95% confidence intervals (CIs).Novel findings for MZL subtypes include increased risk for B-cell activating autoimmune conditions (EMZL OR = 6.40, 95% CI = 4.24 to 9.68; NMZL OR = 7.80, 95% CI = 3.32 to 18.33; SMZL OR = 4.25, 95% CI = 1.49 to 12.14), hepatitis C virus seropositivity (EMZL OR = 5.29, 95% CI = 2.48 to 11.28), self-reported peptic ulcers (EMZL OR = 1.83, 95% CI = 1.35 to 2.49), asthma without other atopy (SMZL OR = 2.28, 95% CI = 1.23 to 4.23), family history of hematologic cancer (EMZL OR = 1.90, 95% CI = 1.37 to 2.62) and of non-Hodgkin lymphoma (NMZL OR = 2.82, 95% CI = 1.33 to 5.98), permanent hairdye use (SMZL OR = 6.59, 95% CI = 1.54 to 28.17), and occupation as a metalworker (NMZL OR = 3.56, 95% CI = 1.67 to 7.58). Reduced risks were observed with consumption of any alcohol (EMZL fourth quartile OR = 0.48, 95% CI = 0.28 to 0.82) and lower consumption of wine (NMZL first to third quartile ORs < 0.45) compared with nondrinkers, and occupation as a teacher (EMZL OR = 0.58, 95% CI = 0.37 to 0.88).Our results provide new data suggesting etiologic heterogeneity across MZL subtypes although a common risk of MZL associated with B-cell activating autoimmune conditions was found.
Project description:BackgroundWe attempt to identify specific differentially methylated and expressed genes in people with longevity family history, it will contribute to discover significant features about human longevity.MethodsA prevalence study was conducted during October 2017 to January 2019 in Bama County of Guangxi, China and individuals were recruited and grouped into longevity family (n=60) and non-longevity family (n=60) to identify differentially methylated genes (DMGs). The expression profile dataset GSE16717 was downloaded from the GEO database in which individuals were divided into 3 groups, namely longevity (n=50), longevity offspring (n=50) and control (n=50) for identifying differentially expressed genes (DEGs). It was considered significantly different when P or adjusted P≤0.05.ResultsIn total, 117 longevity-related hypermethylated genes enriched in interleukin secretion/production regulation, chemokine signaling pathway and natural killer cell-mediated cytotoxicity. Another 296 significant key longevity-related DEGs primarily involved in protein binding, nucleus, cytoplasm, T cell receptor signaling pathway and Metabolic pathway, H19 and PFKFB4 were found to be both methylated and downregulated in people with longevity family history.ConclusionHuman longevity-specific genes involve in many immunity regulations and cellular immunity pathways, H19 and PFKFB4 show hypermethylated and suppressed status in people with longevity family history and might serve as longevity candidate genes.