Our 24/7 cancer helpline provides information and answers for people dealing with cancer. We can connect you with trained cancer information specialists who will answer questions about a cancer diagnosis and provide guidance and a compassionate ear.
Chat live online
Select the Live Chat button at the bottom of the page
Our highly trained specialists are available 24/7 via phone and on weekdays can assist through online chat. We connect patients, caregivers, and family members with essential services and resources at every step of their cancer journey. Ask us how you can get involved and support the fight against cancer. Some of the topics we can assist with include:
- Referrals to patient-related programs or resources
- Donations, website, or event-related assistance
- Tobacco-related topics
- Volunteer opportunities
- Cancer Information
For medical questions, we encourage you to review our information with your doctor.
- Triggering Signals of BRCA1 Breast Cancer (K Kessenbrock)
- Testing Diverse Groups Finds New Breast Cancer Genes (L Teras)
- Black Women & Genetic Testing (J Palmer)
- Women 65+ & Genetic Tests for Breast Cancer Risk (L Teras)
- High-Risk Genes and Screening (A Patel)
- New Risk Calculation May Affect Breast Cancer Screening (L Teras)
- Black Men and Breast Cancer (H Sung)
- Platelets May Help Breast Cancer Spread (E Battinelli)
- Natural Killer Cells & TNBC (R. Chakrabarti)
- Improving Chemotherapy (O Sahin)
- Combo Treatment for TNBC (K Varley)
- Treatments Attack Cell Division (A Holland)
- ER+ Treatment in Mice (P Kenny)
- Blood DNA Monitors Metastasis Treatment (H P Ji)
- PTK6 Gene as Treatment Target (H Irie)
- Time-Lapse Cell Movies (S Spencer)
- 3D Mini Breast Tumors May Help ID New Cancer Treatments
- AI Tool Improves Breast Cancer Prognosis Accuracy
- Exercise & Sitting Time (E. Rees-Punia)
- Cancer Risk Factors in LGBTQ Populations (B. Charlton)
- CPS-3 Disparities Studies
- Cancer Disparities in the US (F. Islami)
- Housing Assistance and Mammograms (H Lee)
- Clinical Trial Treatment Cost App (L Hamel)
- Podcasts, TheoryLab
- Patients Health Insurance Tool (M. Politi)
- Breast Cancer Treatment in Ethiopia (A. Jemal)
- Better Survival Requires Better Insurance (J Zhao)
- Medicaid Eligibility Limits (J Zhao)
- New Treatment for Neuroblastoma (A Heczey)
- Oncogenic Fusions AML (S Meshinchi)
- Genetic Risks (L Teras)
- New Medulloblastoma Drugs (J Rodriguez-Blanco)
- Potential New Hope for MLL (J Grembecka)
- Increase in Brain Tumor Diagnosis (K Miller)
- Longer Life Expectancy for Survivors (J Yeh)
- Potential Target for New Osteosarcoma Drugs (C Benavente)
- At-Home Chemo for Children with HR ALL (L Ranney)
- Childhood Cancer Research Landscape Report
- Tumor-Infiltrating Neutrophils (R. Sumagin)
- New Epigenetic Target (K Rai)
- Extra Chromosomes (Aneuploidy) Effect on Cancer (J. Sheltzer)
- Discovery of a New Biomarker Is the First Step to New Treatment (C. Maher)
- Designer Virus Targets and Kills CRC Cells in Mice (S. Warner)
- Tiny Sensor in Mice May Find Cancer That's Trying to Spread (L. Hao)
- Targeting a Protein “Turned on” by Mistake (N. Gao)
- Spatial Map Intestines (J Hickey)
- CRC Treatment Podcasts
- Keto Molecule & Colorectal Cancer (M Levy)
- Availability of Healthy Food (L Tussing-Humphreys)
- 45 Min/Day of Physical Activity (A Minihan)
- Fewer than 10K Steps/Day (A Patel)
- Yogurt & Cheese & ER- Breast Cancer (M McCullough)
- Stage 2 Clinical Trials for New Endometrial Cancer Drug (V Bae-Jump)
- Hard-to-Starve Pancreatic Cancer Cells (N Kalaany)
- Coffee Risks for Colorectal Cancer (C Um)
- Food Parasite & Brain Cancer Risk (J Hodge)
- Exercise & Quality of Life in Older Survivors (E Rees-Punia)
- 21 Metabolites Linked with Breast Cancer (Y Wang)
- Replacing Sitting May Affect Weight (E Rees-Punia)
- CPS-3 Researchers Ask What People Eat and Check Urine Samples (Y Wang)
- Video Games Motivate Exercise? (E. Lyons)
- Food Choices and Colon Cancer Risk (P. Chandler)
- Race, Exercise & Breast Cancer (C. Dallal)
- Diet with Colorectal Cancer (M. Guinter)
- Biomarkers May Improve Prediction (Y Wang)
- Kickstart NSCLCs Clinical Trials (L. Eichner)
- Mapping Mitochondria's “Dance” (D. Shackleford)
- E-Cig Use Ages 18 to 29 (P. Bandi)
- Stopping Smoking Earlier in Life (F Islami)
- Most with Lung Cancer Smoked (A Jemal)
- Furthering Lung Cancer Screening & Equity (S Fedewa)
- Mouse Lung Organoids for Research (C Kim)
- Quality of Life for Lung Cancer Survivors (J Temel)
- Precision Therapies for NSCLC (P Jänne)
- Cancer Deaths from Smoking (F Islami)
- Lung Cancer Surgery Disparities (A Jemal)
- BRG1-Deficient Lung Cancers (C Kim)
- Yoga for Couples with Lung Cancer (K Milbury)
- Metabolic Differences as New Drug Targets (A Marcus)
- CPS-II & CPS-3 Inform About Risks of Ovarian Cancer
- Machine Learning & Glowing Nanosensors (D Heller)
- Ovarian Cancer May Start in Fallopian Tube Cells (K Lawrenson)
- New Gene Linked with Deadliest Type (C Han)
- Gene-Testing Tools May Personalize Care (A Sood)
- Chromosome-Hoarding Ovarian Cancer Cells & Treatment (J Sheltzer)
- Nanoparticles as Drug Delivery for Metastases (X Lu)
- Turning Off 2 Proteins to Slow HGSC (P Kreeger)
- Targeted Light Therapy in Mice (M Bai)
- Nanoparticles, CAR T, and CRISPR (M Stephan)
- Endometriosis & Ovarian Cancer in Mice (M Wilson)
- Ovarian Cancer Special Section
- UV Exposure, Melanoma, & Dark Skin Types (A. Adamson)
- Melanoma and Lipid Droplets (R. White)
- Zebrafish and Acral Melanoma (R. White)
- T-Cell Lymphoma and PD1 (J. Choi)
- New Drug Destroys Cancer-Causing Protein (C. Crews)
- Virus & Merkel Cell Skin Cancer (R. Wang)
- Non-Genetic Drug Resistance (S. Spencer)
- Hijacking the Body's Sugar (R. Wang)
- Telling about High Risk (P. Kanetsky)
- Brain Metastasis and Alzheimer’s (E. Hernando)
- Exhausted Melanoma "Killer" Cells (W. Cui)
Replacing 30 Min. of Sitting with Activity or Sleep May Affect Weight
CPS-3 Accelerometry data showed how replacing 30 minutes of the day's sedentary time with other behaviors can affect weight.
The Challenge
For every minute in a 24-hour day, we’re basically doing 1 of 3 things—sleeping, sitting (being sedentary), or being physically active. Since you can do only one of these at a time, these behaviors are mutually exclusive. Yet, they’re uniquely interrelated because the more time you spend doing one, automatically means you’re spending less time doing the others.
What you’re doing every minute in a 24-hour-day may also relate to your body weight. To truly understand some of the intricacies of weight change and maintenance requires consideration of these 3 behaviors simultaneously.
The Research
Erika Rees-Punia, PhD, MPH, and her ACS research colleagues were able to analyze these 3 behaviors together in a racially diverse subset of 549 participants in the Cancer Prevention Study-3 (CPS-3) who agreed to be part of in an accelerometer sub-study.
Many important factors are at play in determining our risk for gaining weight. This weight-management study provided evidence for the importance of a healthy balance of all daily behaviors — including physical activity, sedentary time, and sleep — rather than a simple focus on just physical activity.”
Erika Rees-Punia, PhD, MPH
Senior Principal Scientist, Epidemiology and Behavioral Research
Population Science, American Cancer Society
These study participants answered survey questions every 3 years like all CPS-3 participants, and in addition wore an activity monitor, or accelerometer, around their waists for 7 consecutive days except when sleeping. This amount of monitoring allows for a very accurate snapshot of how people typically spend a day compared with answering survey questions, which rely on memory.
Rees-Punia and her team used compositional data analysis methods to analyze longitudinal data that makes up parts of a finite whole—like a 24-hour day. Specifically, they looked at survey data across 3 years to see how different types of activity filled up all the time in a whole day.
The researchers analyzed accelerometer-measured time people were physically active and sitting as well as self-reported sleep time, and they explored the association of these behaviors together with 3-year weight change.
They found that the amount of time people spend sleeping, being physically active, and being sedentary is associated with a change in weight among women (but not men) and among Latinx and White participants (but not Black participants).
They also found that:
- Replacement of 30 minutes/day of sedentary time with 30 minutes of moderate-vigorous intensity physical activities (like brisk walking, jogging, or playing tennis or basketball, etc.) was associated with ~3.5 lbs. weight loss among Latinx participants.
- Replacement of 30 minutes/day of sedentary time with 30 minutes of sleep was associated with ~1.5 lbs. gain in White women and ~1.3 lbs. gain in White men.
Why It Matters
Researchers have used these techniques for many years in nutritional and some other studies, but they’ve only recently been using them in physical activity epidemiology studies.
This study of weight change, along with other types of analysis, is the first of its kind, and allowed Rees-Punia and her colleagues to model what would theoretically happen to participants’ weight if they were to replace 30 minutes a day of sedentary time with other behaviors.