10 Signs and Remedies for Thyroid Diseases | Wellness Clinic
It’s estimated that as many as 27 million people in the United States have a thyroid issue, such as Hashimoto’s thyroiditis or Graves’ disease, and half of them don’t have any concept that they do. An under-active thyroid, or hypothyroidism, accounts for approximately 90 percent of all thyroid imbalances.
What is the thyroid gland?
A butterfly-shaped gland in your neck’s center gland, the thyroid gland, is the master gland of metabolism. Your thyroid gland is inter-related with each system in the human body. If your thyroid isn’t running optimally, then neither are you.
10 Signs of an Underactive Thyroid:
- Fatigue after sleeping 8 to 10 hours a night or having to take a rest daily
- Weight gain or the inability to lose weight
- Mood issues such as mood swings, anxiety, or depression
- Hormone imbalances such as PMS, irregular periods, infertility, and reduced sex drive
- Muscle pain, joint pain, carpal tunnel syndrome, or tendonitis
- Cold hands and feet, feeling cold when others aren’t, or having a body temperature consistently under 98.5
- Dry or cracking skin, brittle nails and excess hair loss
- Constipation
- Head issues like brain fog, poor concentration, or poor memory
- Neck swelling, snoring, or hoarse voice
How Does the Thyroid Gland Function?
Thyroid hormone production is regulated by a feedback loop involving the hypothalamus, pituitary gland, and the thyroid gland. Hypothalamic thyrotropin-releasing hormone (TRH) stimulates pituitary thyrotropin (TSH) secretion and synthesis. In turn, TSH stimulates release and production of T4 and T3 in the thyroid gland. It signals that there’s enough thyroid hormone in flow and not to generate more, when T4 is generated.
About 85 percent of this hormone produced by our thyroid gland is T4, which is an inactive form of the hormone. Once T4 is made, a little quantity of it is converted. For complicate matters, T3 also gets converted to either Free T3 (FT3) or Reverse T3 (RT3). It is the Free T3 that actually matters in all of this, as it is the only hormone that could attach to a receptor and cause your metabolism to increase its production, keep you warm, keep your bowels moving, keep your mind working, along with keeping other hormones in check. Reverse T3’s part isn’t well known, however, healthcare professionals have seen it increase under intense stress and in people who have allergies.
And finally, Hashimoto’s thyroiditis, an autoimmune disease, is the most common form of hypothyroidism and its numbers are increasing annually. An autoimmune disorder is one in which your body turns on itself and begins to attack a certain organ or tissue believing it’s foreign. Many healthcare professionals regularly screen patients for autoimmune thyroid disease by ordering Thyroid Peroxidase Antibodies (TPOAb) and Thyroglobulin Antibodies (TgAb) tests.
Why is Hypothyroidism So Under Recognized?
Many symptoms of thyroid imbalance are vague and most doctors spend only a few minutes talking with patients to sort out the cause of the complaint. Most conventional doctors use just a couple of tests (TSH and T4) to display for problems. They aren’t assessing the thyroid gland, RT3 , or FT3.
Most traditional doctors utilize the ‘normal’ laboratory reference range as their guide only. Rather than listening to their patients symptoms, they use ‘optimal’ laboratory values and temperature as their guide.
Which laboratory tests are better to ascertain if you’ve got a thyroid problem?
Healthcare professionals may check the below panel on patients. Make sure your doctor does the same for you.
- TSH
- Free T4
- Free T3
- Reverse T3
- Thyroid Peroxidase Antibodies (TPOAb)
- Thyroglobulin Antibodies (TgAb)
What are the Optimal Laboratory Values for Thyroid Tests?
In various clinics, it has been discovered that the below list are the ranges in which many patients flourish. These may have been recordeded taking how patients are feeling into account and listening to their patients.
- TSH 1-2 UIU/ML or lower (Armour or compounded T3 can artificially suppress TSH)
- FT4 >1.1 NG/DL
- FT3 > 3.2 PG/ML
- RT3 less than a 10:1 ratio RT3:FT3
- TPO — TgAb — < 4 IU/ML or negative
10 Things to Improve Thyroid Function
- Be certain that you are carrying a high quality multivitamin with Iodine, Zinc, Selenium, Iron, Vitamin D, and B vitamins.
- Also make sure that your multivitamin contains adequate levels of iodine to aid with the FT4 to FT3 conversion.
- Go gluten-free. In case you have Hashimoto’s thyroiditis, try going entirely grain and legume.
- Deal with your stress and support your adrenal glands. The adrenal glands and thyroid work hand and hand. It’s necessary to deal with anxiety using healing yoga and adaptogenic herbs, which support the adrenal glands.
- Get 8 to 10 hours of sleep per night.
- Possessing a biological dentist safely remove any amalgam fillings you may have.
- Watch your intake of cruciferous vegetables. There is a bit of a disagreement.
- Get fluoride, bromide, and chlorine from your diet and surroundings.
- Heal your gut. A correctly functioning digestive tract (gut) is essential to good health.
- Locate a functional medicine doctor and have them operate the above mentioned laboratory test and work with you to find out the root cause of the thyroid imbalance.
Reverse Chronic Illnesses So You Can Take Back Your Health
Are you ready to conquer your symptoms, regain your energy, and feel like yourself again? When you have Hashimoto’s, Graves’, or any of the hundreds of other autoimmune disorders, it’s important for you to know that you CAN reverse your affliction. Simply follow a healthcare professional’s advice and take back your health.
The scope of our information is limited to chiropractic and spinal injuries and conditions. To discuss options on the subject matter, please feel free to ask Dr. Jimenez or contact us at 915-850-0900 .�
By Dr. Alex Jimenez
Additional Topics: Wellness
Overall health and wellness are essential towards maintaining the proper mental and physical balance in the body. From eating a balanced nutrition as well as exercising and participating in physical activities, to sleeping a healthy amount of time on a regular basis, following the best health and wellness tips can ultimately help maintain overall well-being. Eating plenty of fruits and vegetables can go a long way towards helping people become healthy.
TRENDING TOPIC: EXTRA EXTRA: About Chiropractic
Chronic undernutrition is characterized by a progressive reduction of the�fat-free mass (FFM) and fat mass (FM)�and �which has deleterious consequences on health. Undernutrition is insufficiently screened and treated in hospitalized or at-risk patients despite its high prevalence and negative impact on mortality, morbidity, length of stay (LOS), quality of life, and costs [1�4]. The risk of underestimating hospital undernutrition is likely to worsen in the next decades because of the increasing prevalence of overweight, obesity, and chronic diseases and the increased number of elderly subjects. These clinical conditions are associated with FFM loss (sarcopenia). Therefore, an increased number of patients with FFM loss and sarcopenic obesity will be seen in the future.
Academic societies encourage systematic screening of undernutrition at hospital admission and during the hospital stay [14]. The detection of undernutrition is generally based on measurements of weight and height, calculations of BMI, and the percentage of weight loss. Nevertheless, screening of undernutrition is infrequent in hospitalized or nutritionally at-risk ambulatory patients. For example, in France, surveys performed by the French Health Authority [15] indicate that: (i) weight alone, (ii) weight with BMI or percentage of weight loss, and (iii) weight, BMI,�and percentage of weight loss are reported in only 55, 30, and 8% of the hospitalized patients� records, respectively. Several issues, which could be improved by specific educational programs, explain the lack of implementation of nutritional screening in hospitals (table 1). In addition, the accuracy of the clinical screening of undernutrition could be limited at hospital admission. Indeed, patients with undernutrition may have the same BMI as sex- and age- matched healthy controls but a significantly decreased FFM hidden by an expansion of the FM and the total body water which can be measured by bioelectrical impedance analysis (BIA) [13]. This example illustrates that body composition evaluation allows a more accurate identification of FFM loss than body weight loss or BMI decrease. The lack of sensitivity and specificity of weight, BMI, and percentage of weight loss argue for the need for other methods to evaluate the nutritional status.
In 2008, twelve and thirty percent of the worldwide adult population was obese or overweight; this is two times higher than in 1980 [16]. The prevalence of overweight and obesity is also increasing in hospitalized patients. A 10-year comparative survey performed in a European hospital showed an increase in patients� BMI, together with a shorter LOS [17]. The BMI increase masks undernutrition and FFM loss at hospital admission. The increased prevalence of obesity in an aging population has led to the recognition of a new nutritional entity: �sarcopenic obesity� [18]. Sarcopenic obesity is characterized by increased FM and reduced FFM with a normal or high body weight. The emergence of the concept of sarcopenic obesity will increase the number of situations associated with a lack of sensitivity of the calculations of BMI and�body weight change for the early detection of FFM loss. This supports a larger use of body composition evaluation for the assessment and follow-up of nutritional status in clinical practice (fig. 1).
Fig. 2. Current and potential applications of body composition evaluation in clinical practice. The applications are indicated in the boxes, and the body composition methods that could be used for each application are indicated inside the circles. The most used application of body composition evaluation is the measurement of bone mineral density by DEXA for the diagnosis and management of osteoporosis. Although a low FFM is associated with worse clinical outcomes, FFM evaluation is not yet implemented enough in clinical practice. However, by allowing early detection of undernutrition, body composition evaluation could improve the clinical outcome. Body composition evaluation could also be used to follow up nutritional status, calculate energy needs, tailor nutritional support, and assess fluid changes during perioperative period and renal insufficiency. Recent evidence indicates that�a low FFM is associated with a higher toxicity of some chemo- therapy drugs in cancer patients. Thus, by allowing tailoring of the chemotherapy doses to the FFM in cancer patients, body com- position evaluation should improve the tolerance and the efficacy of chemotherapy. BIA, L3-targeted CT, and DEXA could be used for the assessment of nutritional status, the calculation of energy needs, and the tailoring of nutritional support and therapy. Further studies are warranted to validate BIA as an accurate method for fluid balance measurement. By integrating body composition evaluation into the management of different clinical conditions, all of these potential applications would lead to a better recognition of nutritional care by the medical community, the health care facilities, and the health authorities, as well as to an increase in the medico-economic benefits of the nutritional evaluation.
Body Composition Techniques For FFM Measurement
Body composition evaluation allows measurement of the major body compartments: FFM (including bone mineral tissue), FM, and total body water. Table 2 shows indicative values of the body composition of a healthy subject weighing 70 kg. In several clinical situations, i.e. hospital admission, chronic obstructive pulmonary dis- ease (COPD) [21�23], dialysis [24�26], chronic heart failure [27], amyotrophic lateral sclerosis [28], cancer [5, 29], liver transplantation [30], nursing home residence [31], and Alzheimer�s disease [32], changes in body compartments are detected with the techniques of body composition evaluation. At hospital admission, body composition evaluation could be used for the detection of FFM loss and undernutrition. Indeed, FFM and the FFM index (FFMI) [FFM (kg)/height (m2)] measured by BIA are significantly lower in hospitalized patients (n = 995) than in age-, height-, and sex-matched controls (n = 995) [3]. Conversely, clinical tools of nutritional status assessment, such as BMI, subjective global assessment, or mini-nutritional assessment, are not accurate enough to estimate FFM loss and nutritional status [30, 32�34]. In 441 patients with non-small cell lung cancer, FFM loss deter- mined by computerized tomography (CT) was observed in each BMI category [7], and in young adults with all�types of cancer, an increase in FM together with a de- crease in FFM were reported [29]. These findings reveal the lack of sensitivity of BMI to detect FFM loss. More- over, the FFMI is a more sensitive determinant of LOS than a weight loss over 10% or a BMI below 20 [3]. In COPD, the assessment of FFM by BIA is a more sensitive method to detect undernutrition than anthropometry [33, 35]. BIA is also more accurate at assessing nutrition- al status in children with severe neurologic impairment than the measurement of skin fold thickness [36].
FFM loss is correlated with survival in different clinical settings [5, 21�28, 37]. In patients with amyotrophic lateral sclerosis, an FM increase, but not an FFM in- crease, measured by BIA, was correlated with survival during the course of the disease [28]. The relation between body composition and mortality has not yet been demonstrated in the intensive care unit. The relation between body composition and mortality has been demonstrated with anthropometric methods, BIA, and CT. Measurement of the mid-arm muscle circumference is an easy tool to diagnose sarcopenia [38]. The mid-arm muscle circumference has been shown to be correlated with survival in patients with cirrhosis [39, 40], HIV infection [41], and COPD in a stronger way than BMI [42]. The relation between FFM loss and mortality has been extensively shown with BIA [21�28, 31, 37], which is the most used method. Recently, very interesting data suggest that CT could evaluate the disease prognosis in relation to muscle wasting. In obese cancer patients, sarcopenia as assessed by CT measurement of the total skeletal muscle cross-sectional area is an independent predictor of the survival of patients with bronchopulmonary [5, 7], gastrointestinal [5], and pancreatic cancers [6]. FFM assessed by measurement of the mid-thigh muscle cross- sectional area by CT is also predictive of mortality in COPD patients with severe chronic respiratory insufficiency [43]. In addition to mortality, a low FFMI at hospital admission is significantly associated with an in- creased LOS [3, 44]. A bicentric controlled population study performed in 1,717 hospitalized patients indicates that both loss of FFM and excess of FM negatively affect the LOS [44]. Patients with sarcopenic obesity are most at risk of increased LOS. This study also found that ex- cess FM reduces the sensitivity of BMI to detect nutritional depletion [44]. Together with the observation that the BMI of hospitalized patients has increased during the last decade [17], these findings suggest that FFM and�FFMI measurement should be used to evaluate nutritional status in hospitalized patients.
Numerous methods of body composition evaluation have been developed: anthropometry, including the 4-skinfold method [58], hydrodensitometry [58], in vivo neutron activation analysis [59], anthropogammametry from total body potassium-40 [60], nuclear magnetic resonance [61], dual-energy X-ray absorptiometry (DEXA) [62, 63], BIA [45, 64�66], and more recently CT [7, 43, 67]. DEXA, BIA, and CT appear to be the most convenient methods for clinical practice (fig. 2), while the other methods are reserved for scientific use.
The evaluation of FFM could be used for the calculation of energy needs, thus allowing the optimization of nutritional intakes according to nutritional needs. This could be of great interest in specific situations, such as severe neurologic disability, overweight, and obesity. In 61 children with severe neurologic impairment and intellectual disability, an equation integrating body composition had good agreement with the doubly labeled water method. It gave a better estimation of energy expenditure than did the Schofield predictive equation [36]. However, in 9 anorexia nervosa patients with a mean BMI of 13.7, pre- diction formulas of resting energy expenditure including FFM did not allow accurate prediction of the resting energy expenditure measured by indirect calorimetry [76]. In overweight or obese patients, the muscle catabolism in response to inflammation was the same as that observed�in patients with normal BMI. Indeed, despite a higher BMI, the FFM of overweight or obese individuals is similar (or slightly increased) to that of patients with normal BMI. Thus, the use of actual weight for the assessment of the energy needs of obese patients would result in over- feeding and its related complications. Therefore, the ex- perts recommend the use of indirect calorimetry or calculation of the energy needs of overweight or obese patients as follows: 15 kcal/kg actual weight/day or 20�25 kcal/kg ideal weight/day [77, 78], although these predictive formulas could be inaccurate in some clinical conditions [79]. In a US prospective study conducted in 33 ICU medical and surgical ventilated ICU patients, daily measurement of the active cell mass (table 2) by BIA was used to assess the adequacy between energy/protein intakes and needs. In that study, nutritional support with 30 kcal/ kg actual body weight/day energy and 1.5 g/kg/day protein allowed stabilization of the active cell mass [75]. Thus, follow-up of FFM by BIA could help optimize nutritional intakes when indirect calorimetry cannot be performed.
Body composition evaluation allows a qualitative assessment of body weight variations. The evaluation of body composition may help to document the efficiency of nutritional support during a patient�s follow-up of numerous clinical conditions, such as surgery [59], anorexia nervosa [76, 80], hematopoietic stem cell transplantation [81], COPD [82], ICU [83], lung transplantation [84], ulcerative colitis [59], Crohn�s disease [85], cancer [86, 87], HIV/AIDS [88], and acute stroke in elderly patients [89]. Body composition evaluation could be used for the follow-up of healthy elderly subjects [90]. Body composition evaluation allows characterization of the increase in body mass in terms of FFM and FM [81, 91]. After hematopoietic stem cell transplantation, the increase in BMI is the result of the increase in FM, but not of the increase in FFM [81]. Also, during recovery after an acute illness, weight gain 6 months after ICU discharge could be mostly related to an increase in FM (+7 kg) while FFM only increased by 2 kg; DEXA and air displacement plethysmography were used to measure the FM and FFM [91]. These two examples suggest that body composition evaluation could be helpful to decide the modification and/or the renewal of nutritional support. By identifying the patients gaining weight but reporting no or insufficient FFM, body composition evaluation could contribute to influencing the medical decision of continuing nutrition- al support that would have been stopped in the absence of body composition evaluation.
In clinical situations when weight and BMI do not reflect the FFM, the evaluation of body composition should be used to adapt drug doses to the FFM and/or FM absolute values in every patient. This point has been recently illustrated in oncology patients with sarcopenic obesity. FFM loss was determined by CT as described above. In cancer patients, some therapies could affect body com- position by inducing muscle wasting [92]. In patients with advanced renal cell carcinoma [92], sorafenib induces a significant 8% loss of skeletal muscular mass at 12 months. In turn, muscle wasting in patients with BMI less than 25 was significantly associated with sorafenib toxicity in patients with metastatic renal cancer [8]. In metastatic breast cancer patients receiving capecitabine treatment, and in patients with colorectal cancer receiving 5-fluorouracile, using the convention of dosing per unit of body surface area, FFM loss was the determinant of chemotherapy toxicity [9, 10] and time to tumor progression [10]. In colorectal cancer patients administered 5-fluoruracil, low FFM is a significant predictor of toxicity only in female patients [9]. The variation in toxicity between women and men may be partially explained by the fact that FFM was lower in females. Indeed, FFM rep- resents the distribution volume of most cytotoxic chemo- therapy drugs. In 2,115 cancer patients, the individual variations in FFM could change by up to three times the distribution volume of the chemotherapy drug per body area unit [5]. Thus, administering the same doses of chemotherapy drugs to a patient with a low FFM compared to a patient with a normal FFM would increase the risk of chemotherapy toxicity [5]. These data suggest that FFM loss could have a direct impact on the clinical outcome of cancer patients. Decreasing chemotherapy doses in case of FFM loss could contribute to improving cancer patients� prognosis through the improvement of the tolerance of chemotherapy. These findings justify the systematic evaluation of body composition in all cancer patients in order to detect FFM loss, tailor chemotherapy doses according to FFM values, and then improve the efficacy- tolerance and cost-efficiency ratios of the therapeutic strategies [93]. Body composition evaluation should also be used to tailor the doses of drugs which are calculated based on patients� weight, e.g. corticosteroids, immuno-suppressors (infliximab, azathioprine or methotrexate), or sedatives (propofol).
The implementation of body composition evaluation in routine care presents a challenge for the next decades. Indeed the concomitant increases in elderly subjects and patients with chronic diseases and cancer, and in the prevalence of overweight and obesity in the population, will increase the number of patients nutritionally at risk or undernourished, particularly those with sarcopenic obesity. Body composition evaluation should be used to improve the screening of undernutrition in hospitalized patients. The results of body composition should be based on the same principle as BMI calculation, towards the systematic normalization for body height of FFM (FFMI) and FM [FM (kg)/height (m)2 = FM index] [94]. The results could be expressed according to previously de- scribed percentiles of healthy subjects [95, 96]. Body com- position evaluation should be performed at the different stages of the disease, during the course of treatments and the rehabilitation phase. Such repeated evaluations of body composition could allow assessment of the nutritional status, adjusting the calculation of energy needs as kilocalories/kilogram FFM, following the efficacy of 
The prevalence of obesity in the United States has been increasing for almost 50 years. Currently, more than two-thirds of adults and almost one-third of children and adolescents are 
From 2005 to 2014, there was a 1.4% annual increase in cancers related to overweight and obesity among individuals aged 20 to 49 years and a 0.4% increase in these cancers among individuals aged 50 to 64 years. For example, if cancer rates had stayed the same in 2014 as they were in 2005, there would have been 43?000 fewer cases of colorectal cancer but 33?000 more cases of other cancers related to overweight and obesity. Nearly half of all cancers in people younger than 65 years were associated with overweight and obesity. Overweight and obesity among younger people may exact a toll on individuals� health earlier in their lifetimes.
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Implementation of clinical interventions, including screening, counseling, and referral, has major challenges. Since 2011, Medicare has covered behavioral counseling sessions for weight loss in primary care settings. However, the benefit has not been widely utilized.
Achieving sustainable weight loss requires comprehensive strategies that support patients� efforts to make significant lifestyle changes. The availability of clinical and community programs and services to which to refer patients is critically important. Although such programs are available in some communities, there are gaps in availability. Furthermore, even when these programs are available, enhancing linkages between clinical and community care could improve patients� access. Linking community obesity prevention, weight management, and physical activity programs with clinical services can connect people to valuable prevention and intervention resources in the communities where they live, work, and play. Such linkages can give individuals the encouragement they need for the lifestyle changes that maintain or improve their health.
The high prevalence of overweight and obesity in the United States will continue to contribute to increases in health consequences related to obesity, including cancer. Nonetheless, cancer is not inevitable; it is possible that many cancers related to overweight and obesity could be prevented, and physicians have an important responsibility in educating patients and supporting patients� efforts to lead healthy lifestyles. It is important for all health care professionals to emphasize that along with quitting or avoiding tobacco, achieving and maintaining a healthy weight are also important for reducing the risk of cancer.
