Seasonal Patterns of Stress, Diet and Physical Activity - Life in All Seasons (LENAS)
| Status: | Completed |
|---|---|
| Conditions: | Obesity Weight Loss |
| Therapuetic Areas: | Endocrinology |
| Healthy: | No |
| Age Range: | 40 - 60 |
| Updated: | 9/27/2017 |
| Start Date: | June 2012 |
| End Date: | August 2014 |
Seasonality of Stress, Diet, and Physical Activity in Mid-Life Women
The purpose of this study is to develop a better understanding of factors affecting
American's energy balance related behaviors - in this case, food intake and activity. In the
present study we will describe the relative contributions of individual psychology and
physiology (including metabolism, mood, and sleep habits) and external (season, stressors)
contributions to changes in adiposity over a year in free-living individuals.
This study will illuminate season's role in changes in energy balance related behaviors and
body weight and composition. Ultimately, this information will be used to identify factors
affecting food consumption and individual activity during seasonal periods to help to segment
interventions for obesity prevention in mid-life women.
American's energy balance related behaviors - in this case, food intake and activity. In the
present study we will describe the relative contributions of individual psychology and
physiology (including metabolism, mood, and sleep habits) and external (season, stressors)
contributions to changes in adiposity over a year in free-living individuals.
This study will illuminate season's role in changes in energy balance related behaviors and
body weight and composition. Ultimately, this information will be used to identify factors
affecting food consumption and individual activity during seasonal periods to help to segment
interventions for obesity prevention in mid-life women.
This is a longitudinal, observational study of mid-life women spanning one year.There will be
frequent monitoring of food consumption, individual activity and individual- level factors
thought to influence food consumption and activity such as dietary restraint, subjective
stress, sleep quality and duration, and physiological stress as measured by allostatic load.
Specific aims:
1. To identify seasonal changes in %BF of mid-life women.
Participant's percentage of body fat will fluctuate, and will be highest at the end of
the winter season and lowest at the end of the summer season.
2. To describe predictors of seasonal changes in %BF.
There will be no intervention other than frequent monitoring of food consumption, individual
activity and individual- level factors thought to influence food consumption and activity
such as dietary restraint, subjective stress, sleep quality and duration, and physiological
stress as measured by allostatic load. The volunteers will be asked to complete a 7-day
activity and energy expenditure monitoring period (along with body composition assessment,
questionnaires regarding individual factors thought to affect food consumption and activity,
blood draw and urine collection to measure allostatic load) in each of the four seasons over
a 12-month period; between monitoring periods they will come to the GFHNRC for measurement of
weight, skin carotenoids for assessment of fruit and vegetable intake, and to provide a
morning urine sample monthly (8 times), and receive emails reminding them to log on to a
secure server and complete a 24-hr recall 3 times a month (36 times during the year).
The ASA-24 will be administered to assess nutritional intake; Actigraph GT3X+, Actitrainer,
and QStarz GPS logger will be used to assess physical activity. Physiological stress will be
assessed using the allostatic load index.
frequent monitoring of food consumption, individual activity and individual- level factors
thought to influence food consumption and activity such as dietary restraint, subjective
stress, sleep quality and duration, and physiological stress as measured by allostatic load.
Specific aims:
1. To identify seasonal changes in %BF of mid-life women.
Participant's percentage of body fat will fluctuate, and will be highest at the end of
the winter season and lowest at the end of the summer season.
2. To describe predictors of seasonal changes in %BF.
There will be no intervention other than frequent monitoring of food consumption, individual
activity and individual- level factors thought to influence food consumption and activity
such as dietary restraint, subjective stress, sleep quality and duration, and physiological
stress as measured by allostatic load. The volunteers will be asked to complete a 7-day
activity and energy expenditure monitoring period (along with body composition assessment,
questionnaires regarding individual factors thought to affect food consumption and activity,
blood draw and urine collection to measure allostatic load) in each of the four seasons over
a 12-month period; between monitoring periods they will come to the GFHNRC for measurement of
weight, skin carotenoids for assessment of fruit and vegetable intake, and to provide a
morning urine sample monthly (8 times), and receive emails reminding them to log on to a
secure server and complete a 24-hr recall 3 times a month (36 times during the year).
The ASA-24 will be administered to assess nutritional intake; Actigraph GT3X+, Actitrainer,
and QStarz GPS logger will be used to assess physical activity. Physiological stress will be
assessed using the allostatic load index.
Inclusion Criteria:
- Ambulatory women aged 40-60 years
- Weight stable (±10 lbs) for at least 6 months prior to the start of the study
- Body mass index (BMI) between 18-35 kg/m2
- Access to high-speed internet
- Willing to comply with study requirements
Exclusion Criteria:
- BMI >35 or < 18
- Current smoker or tobacco or nicotine use
- Male sex
- Age <40.0 or >60 years
- Health conditions (cardiovascular, pulmonary, orthopedic, asthma) that would limit
participation in physical activity
- Medications that would influence appetite, weight gain or weight loss.
- Intentional changes in diet or large increases in physical activity for the purpose of
weight loss during the study. Typical weight maintenance behaviors are not an
exclusion criterion.
- Pregnant, lactating, or planning pregnancy.
- Travel plans that do not permit full participation.
- Inability to walk without assistance. The capability to walk upright is fundamental
because accelerometry measures the duration and intensity of horizontal physical
activities.
- Inability to give consent.
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