Caring for a loved one with Alzheimer’s can feel like navigating a maze with no map—and science hasn’t made it easier. For decades, researchers chased one idea while the real complexity of the disease was ignored. This article explores how functional medicine and systems biology may finally offer a more complete understanding—and better support for those providing care every day.
(Note: About Us, a reference bibliography, related books, videos and apps can be found at the end of this article.)
Did you know that Alzheimer’s disease shares striking similarities with diabetes? Some experts now refer to it as “Type 3 Diabetes” due to the role insulin resistance plays in cognitive decline. Just as diabetes affects the body’s ability to process sugar, impaired insulin function in the brain leads to neuron damage and memory loss. The good news? Lifestyle changes that help prevent diabetes—like healthy eating and regular exercise—may also support brain health and reduce the risk of Alzheimer’s. Read more about the metabolic connection between Alzheimer’s and diabetes.
(Note: About Us, a reference bibliography, related books, videos and apps can be found at the end of this article.)
In the idealized vision of healthcare, every decision a doctor makes is driven by the purest motives: the well-being of the patient, the pursuit of healing, and the oath to “do no harm.” But in the real world, medicine operates within a complex web of incentives and pressures. Systems like Relative Value Units (RVUs), which tie physician compensation to productivity metrics, and pharmaceutical industry incentives, which subtly influence prescribing habits, add layers of complexity to the already challenging practice of medicine.
What happens when doctors, who are as human as the rest of us, navigate systems that reward the volume of care over its quality? The answers can be unsettling. As the story of one oncologist in Montana reveals, these systems can unintentionally encourage practices that undermine patient outcomes, tarnish trust, and compromise the very mission of healthcare. This article explores the unintended consequences of these incentive structures and why they matter not just for doctors, but for all of us who rely on them when we are at our most vulnerable.
(Note: About Us, a reference bibliography, related books, videos and apps can be found at the end of this article.)
Alzheimer’s disease has strong metabolic roots, and diet plays a pivotal role in either accelerating or slowing its progression. Key factors such as excessive sugar, processed foods, and unhealthy fats contribute to insulin resistance, inflammation, and oxidative stress, all of which damage the brain. By making healthier dietary choices, individuals can protect their cognitive health and lower the risk of Alzheimer’s disease.
(Note: About Us, a reference bibliography, related books, and videos can be found at the end of this article.)
Life expectancy, a commonly used measure of population health, refers to the average number of years individuals in a population are expected to live, based on current mortality rates. It provides a snapshot of how long people are likely to survive but doesn’t account for the quality of those years. This is where Health-Adjusted Life Expectancy (HALE) becomes crucial. HALE estimates the number of years a person can expect to live in good health, free from disabling diseases or chronic conditions that impede their ability to function.
Unlike life expectancy, which focuses solely on longevity, HALE offers a more nuanced perspective, combining both mortality and morbidity data. It highlights the gap between living longer and living healthier, drawing attention to the importance of not just extending life but also ensuring those extra years are lived with a high quality of life. In this sense, HALE is a more comprehensive measure because it emphasizes the years lived in good health, providing a clearer view of the overall well-being of a population.
(Note: About Us, a reference bibliography, related books, and videos can be found at the end of this article.)
A month into this next phase of my life—active retirement—I find myself deeply introspective. One of the key drivers for this reflection is that I now stand at the threshold of a chapter of life that I have been dedicated to serving for years: the senior community. This is a calling I have come to embrace with passion and purpose. Through a series of challenging life experiences, I have discovered my commitment to helping seniors and their families navigate their need for the progressive levels of support and care they often require. This endeavor, a role of service, has become profoundly gratifying, providing me with a sense of fulfillment I had not anticipated during the long hours and intense work of my career in technology.
Recently, I read The Four Phases of Retirement: What to Expect When You’re Retiring by Riley E. Moynes. This insightful book offers a practical framework for understanding the psychological and emotional stages individuals typically experience during retirement. Moynes presents retirement not merely as a financial decision but as a transformative journey, highlighting the emotional transition from a career-driven lifestyle to a new chapter in life. I will summarize these phases here.
(Note: About Us, a reference bibliography, related books, and videos can be found at the end of this article.)
In the complex world of caregiving, unpaid family caregivers often find themselves shouldering the majority of responsibilities while facing judgment from family members who are not involved in daily care. This article highlights the disproportionate expectations placed on caregivers, particularly women, and emphasizes the importance of empathy, understanding, and support. It advocates for a shift from criticism to compassion, allowing caregivers to make hard decisions with confidence and free from guilt.
(Note: About Us, a reference bibliography, related books, and videos can be found at the end of this article.)
Artificial intelligence is empowering seniors to become their own healthcare advocates by helping them cross-check symptoms, evaluate medication effects and interactions, and develop suggested diagnostics and therapies, including justifications, to enable more informed doctor visits and ensure the best and most complete care is being provided. This is particularly beneficial for older adults dealing with complex issues like long COVID, polypharmacy, and cognitive decline, where the healthcare system often falls short. By using AI, seniors can ensure they receive the personalized care and attention they need in an increasingly efficiency-driven healthcare environment. A real-world example is provided at the end of this article.
(Note: About Us, a reference bibliography, related books, and videos can be found at the end of this article.)
When a loved one is living with a terminal or chronic debilitating condition such as Alzheimer’s, dementia, multiple sclerosis (MS), Parkinson’s disease, or others, making decisions about their care as the disease progresses can be both emotionally taxing and complex. Beyond a Do Not Resuscitate (DNR) order, families might consider additional directives to ensure that their loved one’s remaining time is spent in comfort, dignity, and accordance with their wishes.
This is a deeply personal journey that tests the limits of our emotional resilience, challenging us to balance our love and compassion with our own fear of loss. It compels us to confront our reluctance to let go of a loved one and to weigh it against what might be the most compassionate and humane choice. In these situations, the most loving act may be to prioritize the person’s comfort and dignity over the instinct to prolong life, especially when further medical interventions might only extend their suffering.
(Note: About Us, a reference bibliography, related books and videos are all found at the end of this article.)
As healthcare becomes more industrialized, self-advocacy has become crucial for patients to secure personalized care in a system that often prioritizes efficiency over individual needs. The challenge is further compounded by flawed medical research, which can misinform healthcare providers and lead to suboptimal patient care. By educating themselves and engaging in shared decision-making, patients can better navigate these challenges and ensure their healthcare aligns with their personal values.
(Note: About Us, a reference bibliography, related books and videos are all found at the end of this article.)
