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More Evidence Organically Grown Food is Healthier

by Brian T. Lynch, MSW

More and more people are looking to purchase organic foods in the belief that organically grown food is healthier. There has been growing concern about possible health impacts from the agrochemicals used in traditional crop production. These chemicals have included pesticides growth regulators and various petrochemical fertilizers. Many of these synthetic chemicals are not permitted in organically grown food. This often requires organic farmers to adopt different methods of crop production including mechanical weeding and different schedules of crop rotation. The question has been whether the absence of agrochemicals and the differing methods of food production actually produce safer or more nutritious crops.

A recent meta-analysis of 343 peer reviewed studies was published in the British Journal of Nutrition. This analysis uncovered that there are indeed significant differences between organically grown and traditionally grown crops. It was found that organically grown crops have higher antioxidants and lower concentrations of trace metals such as cadmium. I higher intake of antioxidants, such as those found in organic foods in this study, have been found to reduce the risk of cardiovascular disease and certain types of cancer such as colon cancer. Antioxidants have also been linked to a lower risk of certain degenerative neurological conditions.  Low dose, long-term exposure to cadmium can be damaging to the kidneys and can lead to the formation of kidney stones.[http://www.epa.gov/osw/hazard/wastemin/minimize/factshts/cadmium.pdf]

For more detailed information on this study the abstract has been appended below along with a link to the original study.

News that organically grown food is richer in antioxidants is especially encouraging news since there continues to be little evidence that antioxidant supplements have a beneficial effect on health. it appears that not all substances with antioxidant properties have beneficial effects, and in some cases the effects of certain anti-oxidant chemicals can be harmful. What seems to be important for receiving health benefits from antioxidant substances is to obtain them through fresh fruits and vegetables rather than through supplements.

The school of Public health at Harvard has published a good review of the benefits of antioxidants, the just of which reads:

Free radicals contribute to chronic diseases from cancer to heart disease and Alzheimer’s disease to vision loss. This doesn’t automatically mean that substances with antioxidant properties will fix the problem, especially not when they are taken out of their natural context. The studies so far are inconclusive, but generally don’t provide strong evidence that antioxidant supplements have a substantial impact on disease. But keep in mind that most of the trials conducted up to now have had fundamental limitations due to their relatively short duration and having been conducted in persons with existing disease. That a benefit of beta-carotene on cognitive function was seen in the Physicians’ Health Follow-up Study only after 18 years of follow-up is sobering, since no other trial has continued for so long. At the same time, abundant evidence suggests that eating whole fruits, vegetables, and whole grains—all rich in networks of antioxidants and their helper molecules—provides protection against many of these scourges of aging. [ http://www.hsph.harvard.edu/nutritionsource/antioxidants/ ]

 
British Journal of Nutrition
 
Higher antioxidant and lower cadmium concentrations and lower incidence
of pesticide residues in organically grown crops: a systematic literature
review and meta-analyses

Abstract;

Demand for organic foods is partially driven by consumers’ perceptions that they are more nutritious. However, scientific opinion is divided on whether there are significant nutritional differences between organic and non-organic foods, and two recent reviews have concluded that there are no differences.

In the present study, we carried out meta-analyses based on 343 peer-reviewed publications that indicate statistically significant and meaningful differences in composition between organic and non-organic crops/crop-based foods.

Most importantly, the concentrations of a range of antioxidants such as polyphenolics were found to be substantially higher in organic crops/crop-based foods, with those of phenolic acids, flavanones, stilbenes, flavones, flavonols and anthocyanins being an estimated 19 (95 % CI 5, 33) %, 69 (95 % CI 13, 125) %, 28 (95 % CI 12, 44) %, 26 (95 % CI 3, 48) %, 50 (95 % CI 28, 72) % and 51 (95 % CI 17, 86) % higher, respectively.

Many of these compounds have previously been linked to a reduced risk of chronic diseases, including CVD and neurodegenerative diseases and certain cancers, in dietary intervention and epidemiological studies. Additionally, the frequency of occurrence of pesticide residues was found to be four times higher in conventional crops, which also contained significantly higher concentrations of the toxic metal Cd.

Significant differences were also detected for some other (e.g. minerals and vitamins) compounds. There is evidence that higher antioxidant concentrations and lower Cd concentrations are linked to specific agronomic practices (e.g. non-use of mineral N and P fertilisers, respectively) prescribed in organic farming systems. In conclusion, organic crops, on average, have higher concentrations of antioxidants, lower concentrations of Cd and a lower incidence of pesticide residues than the non-organic comparators across regions and production seasons.

[ http://csanr.wsu.edu/m2m/papers/organic_meta_analysis/bjn_2014_full_paper.pdf ]

The Authors 2014. The online version of this article is published within an Open Access environment subject to the conditions of the Creative Commons Attribution licence http://creativecommons.org/licenses/by/3.0/

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Image credit: http://upload.wikimedia.org/wikipedia/commons/2/2f/Culinary_fruits_front_view.jpg

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WATER, DETROIT AND THE ESSENTIALS OF LIFE

by Brian T. Lynch, MSW

Recent news accounts of the massive water shut-offs by the City of Detroit has drawn national and international attention to this essential utility that we sometimes take for granted. Over 17,000 residents have had their water shut off in that city for non-payment. About 12% of the 90,000 Detroit utility customers are delinquent by more than 60 days, and nearly half of the water customers are behind in payments (the latter fact according to an LA Times report). Since April of this year the city has targeted shut offs for 4,000 residents per week who are $150 or more in arrears.

 
Image Credit: http://www.waterpurifier.org


The delinquency rates aren’t new. Detroit is a shrinking city with lots of poor residents left behind. The city is bankrupt. The aggressive enforcement measures towards those behind in their bill is new. City management official claim that the water and sewer utility has been plagued by corruption, incompetence and inadequate maintenance for decades, and is seriously in debt. The utility’s bond rating is Baa with $5.4 billion in bond obligations. Moody’s Financial Ratio Analysis places the utilities debt ratio at around 90%.

Detroit is currently run by an appointed emergency manager selected by the Governor under a controversial new Michigan law. The emergency manager supersedes all elected authority in the city and has nearly absolute power. Pressure to shut off delinquent residential water customers comes under his authority. 

 
The move to turn off the water is controversial on several levels. Delinquent commercial and industrial customers are apparently not being targeted for cut offs. Residents claim their bills are excessive and State assistance isn’t forthcoming with any assistance. Community organizations have appealed to the United Nations. The U.N. recognizes access to water as a basic human right and holds that it is a violation of human rights to cut off people who legitimately cannot pay. The Detroit authorities claim that many residents intentionally don’t pay water bills, thus contributing to the crisis, a claim that citizen advocacy groups deny. There are rumors that the municipal owned utility might be sold to a private company, raising suspicions that this has been the plan all along. The water shut off policy has lead to angry street protests.

To understand Detroit’s situation it is helpful to step back first and look more broadly at water utilities here and abroad. 

Water Utility Rates are on the Rise

An article last year by Brett Walton at the “Circle of Blue” reported that: “Water prices in 30 major U.S. cities again grew at a pace faster than inflation, according to Circle of Blue’s annual survey of water rates for single-family residential customers. Water prices increased an average of 6.7 percent in these metropolitan areas, a slower rate than in recent years but well above the 2.1 percent increase in the U.S. Bureau of Labor Statistics’ Consumer Price Index for 2012. The median increase in water prices was 6.2 percent.” 

A 2000 survey by the U.S. Census Bureau found that, “The average annual cost of water and waste water for a household that pays directly for service is $476 per year, ranging from $334 in Nebraska to $721 in Hawaii.” That figure works out to about $40 per month while an EPA website says: “American household spends, on average, only $523 per year on water and waste water charges… ” That works out to a U.S. average of $43.58 per month for water and sewer. 

In a recent USA TODAY article entitled “Nation’s water costs rushing higher” it was reported that: 

“While most Americans worry about gas and heating oil prices, water rates have surged in the past dozen years, according to a USA TODAY study of 100 municipalities. Prices at least doubled in more than a quarter of the locations and even tripled in a few.[snip] Monthly costs topped $50 for consumers in Atlanta, Seattle and San Diego who used 1,000 cubic feet of water, a typical residential consumption level in many areas.

There is also a water and sewer industry report prepared in 2012/2013 by Black and Veatch, a private firm. This report says the cost of water in Seattle, for example, was $8.19 per 1.000 gallons, not including the sewer charges. The combined monthly bill for sewer and water in Seattle was $177.93 per month for residential customers using 7,500 gallons, according to this report. 

Meanwhile in Detroit, according to the Black and Veatch report, the monthly water and combined sewer and water rates for residential customers using 7500 gallons per month was $24.12 and 70.89 respectively. So which figures are correct?

It turns out that water and sewer utility prices are deceptively difficult to understand or to compare from city to city. There are different units of measurement, different seasonal schedules, peak and off-peak metering and different rate structures. Also, in cities especially, water and sewer rates are separately billed but inseparable because water use is the measure of sewer use in most cases. Billing is combined. Sewer rates are generally higher, often double the water rates. Comparing water pricing without including sewer pricing can be very misleading. Finally, to get a full picture of a municipal utility overall, it is important to compare the rates for commercial water/sewer uses and the wholesale rates the utility charges industries.

An Apples to Apples Comparison
The table below directly compares the published water and sewer rates for Detroit and Seattle (converted to dollars/1,000 gallons). Seattle was selected for comparison because it was one of the cities mention in the USA Today article as having the highest rates. The data is from both city websites. 

At first look it appears that Seattle water and sewer prices are significantly higher than in Detroit. The average Seattle resident uses 3,740 gallons of water per month for a combined water/sewer bill of $112/mo. compared with $62/mo. in Detroit. But when you take a closer look you see that Seattle has a two tier residential rate. The published rate is for residents who can afford it while those families making less than 70% of the city’s median income receive a 50% discount. The discount only applies to low wage families who aren’t eligible for HUD (Section 8) federal assistance, and the municipal utility actively helps low wage customers apply for federal aid if eligible. They also have programs to help families conserve water and they have very flexible payment plans for any residents who fall behind according to the spokesperson with whom I talked. Shutting off water to a customer would not be considered for residents who owe less than around $1,000. 

Detroit, a city with a median family income 25% lower than Seattle, has flat rates. It offers no low income discounts. As a result, the average low income water/sewer bill in Detroit is higher than in Seattle. 

To complete the look at water and sewer utilities in these two cities it is important to compare rates for retail commercial and wholesale water customers as well. The information on the websites is a little more difficult to extract in this area. The graph below is my best attempt. 


What jumps out here is the different rate structures in these two cities. Commercial rates in Seattle are somewhat higher than in Detroit, the monthly minimum and maximum wholesale facility charges are significantly higher. Seattle also has a peek commercial water rate that is higher than off-peak to encourage conservation. Meanwhile the difference in the maximum and minimum facility charges in the two cities is 13 times and 38 times higher in Seattle. This suggests that there may be some latitude for Detroit to raise commercial and wholesale water/sewer utility rates to help offset the current financial short fall. Additionally, the Detroit utility could also consider raising residential rates for customers who can afford the increase and discounting rates for low wage earners, as Seattle does.

In the meantime, Detroit should look at the creative collection alternative already practiced in other states and try to find effective alternatives to shutting off water to so many of the residents they are honor bound serve. Access to water is an essential human right and cutting off resident from water should be a last resort. Just reviewing the rate structure suggests possibilities that may not have been considered yet.

A Global Perspective
How do U.S. water rate compare with the cost of water in other cities around the world?

The Organization for Economic Co-operation and Development ( OECD ) conducted two surveys of residential water tariffs in 1999 and in 2007-08, using a reference consumption of 15 cubic meters per household per month. The 2007-08 survey covered more than 150 cities in all 30 OECD member countries. The survey does not claim to be representative. The OECD survey was complemented by a survey of the industry information service Global Water Intelligence (GWI) conducted in 2007-2008 in parallel with the second OECD survey. The 2008 GWI survey covered 184 utilities in OECD countries and 94 utilities in non-OECD countries. GWI has repeated its survey every year from 2009 to 2012, increasing the number of utilities surveyed to 310 in 2012.

When you convert the OECE findings to US gallons the results indicate that the average water rate in the 310 global cities surveyed is $7.50/1,000 gallons. The range of water rates vary greatly from $0.11 per 1,000 gal. in Saudi Arabia, to $34.86 per 1,000 gal. in Denmark. Then there are also countries, such as Ireland, where water is delivered to households free of charge.

The benchmark for monthly water use in the OECD survey was 15 cubic meters per month, or 3,963 gallons per month, compared with 7,481 gallons per month in the United States. As the graph below shows, U.S. households use more water than do households in most other countries. In the examples above, the difference represents an 88% higher rate of water use in the U.S.

To complete the comparison it is important to acknowledge that higher volumes of water used per household in the US lowers the cost per gallon. In the USA TODAY article, greater conservation of water by customers was named as one of the reasons for higher water rates. When you factor in the average water use in the US with the benchmark estimate of average monthly use in the OECD study, residents in Atlanta, Seattle and San Diego are paying approximate $50 per month for water while residents in foreign cities are paying about $30 per month. 

If U.S. water consumption dropped to the lower global levels, residents in the cities mentioned above would pay about $27 dollars per month. However, lowering water use that much in the U.S. would significantly raise the cost per gallon. There are so many variables and assumptions in all of the underlying data that this is a rough guess. 

Keep in mind also that the cost of water for the data cited here is for cities, yet it isn’t clear if the figures given include sewer costs. The quality of sewer systems and their associated costs vary greatly, both nationally and across the globe. The best that we can gather from this very rough comparison, then, is the impression that current water rates in the U.S. are somewhat comparable with average global rates. 

Water is an essential part of our daily life and a human right. It is a finite resource that is growing in scarcity. Social and environment forces are combining to raise water prices everywhere. The trend in rising prices is likely to accelerate as U.S. water conservation become more essential to meet our basic water needs, and this article doesn’t even touch on agricultural where most of our water is used. With scarcity comes increased commercial opportunities and there will be growing pressure to privatize municipal water utilities for profit. Balancing commercial interests with human needs and human rights is a conversation we need to have. Increasing public awareness is critically important for our future and the media will need to do more and better reporting to inform the public.

Obamacare – Is It For Good or Evil?

Like anything else, you can use a thing or abuse it. The Affordable Care Act is being shredded for political reasons in many states to create proof that it doesn’t work. It’s a shambles in the hands of those who want to use it as a cudgel with which to beat up Obama.  More enlightened states are taking every advantage of the ACA and in doing so they are better serving their citizens and improving their state budgets. Here below is a snippet from an article in the Washington Post:

How we got Obamacare to work

By Jay Inslee, Steve Beshear and Dannel P. Malloy, Published: Washington Post, November 17, 2012

http://www.washingtonpost.com/opinions/how-we-got-obamacare-to-work/2013/11/17/3f2532bc-4e42-11e3-be6b-d3d28122e6d4_story.html

[snip]  In our states — Washington, Kentucky and Connecticut — the Affordable Care Act, or “Obamacare,” is working. Tens of thousands of our residents have enrolled in affordable health-care coverage. Many of them could not get insurance before the law was enacted.

People keep asking us why our states have been successful. Here’s a hint: It’s not about our Web sites.

Sure, having functioning Web sites for our health-care exchanges makes the job of meeting the enormous demand for affordable coverage much easier, but each of our state Web sites has had its share of technical glitches. As we have demonstrated on a near-daily basis, Web sites can continually be improved to meet consumers’ needs.

The Affordable Care Act has been successful in our states because our political and community leaders grasped the importance of expanding health-care coverage and have avoided the temptation to use health-care reform as a political football.

In Washington, the legislature authorized Medicaid expansion with overwhelmingly bipartisan votes in the House and Senate this summer because legislators understood that it could help create more than 10,000 jobs, save more than $300 million for the state in the first 18 months, and, most important, provide several hundred thousand uninsured Washingtonians with health coverage.

In Kentucky, two independent studies showed that the Bluegrass State couldn’t afford not to expand Medicaid. Expansion offered huge savings in the state budget and is expected to create 17,000 jobs.

In Connecticut, more than 50 percent of enrollment in the state exchange, Access Health CT, is for private health insurance. The Connecticut exchange has a customer satisfaction level of 96.5 percent, according to a survey of users in October, with more than 82 percent of enrollees either “extremely likely” or “very likely” to recommend the exchange to a colleague or friend.

In our states, elected leaders have decided to put people, not politics, first.

[Read more here: http://www.washingtonpost.com/opinions/how-we-got-obamacare-to-work/2013/11/17/3f2532bc-4e42-11e3-be6b-d3d28122e6d4_story.html ]

_______________ … _______________

If you feel  that the media isn’t doing a good job of covering the positive side this story and isn’t reaching the ACA doubters and haters you know, then do something about it. Point them to this article or refer them here to read something that is directly from the chief executives of states where the ACA is working.

Snip-Its: Why Exercise Improves Health

Here is information about a study on how exercise bio-chemically improves our physical health. This article caused me to jumped on my Treadmill and subsequently join a gym.  From a bio-chemical perspective it seems that a little physical exercize initates a cellular process analogous to recycling the trash that builds up in our cell bodies.  

Just why exercise is so good for people is, at last, being understood

Jan 21st 2012 | from the print edition

http://econ.st/z0Fc6U

ONE sure giveaway of quack medicine is the claim that a product can treat any ailment. There are, sadly, no panaceas. But some things come close, and exercise is one of them.  [snip]
[A] paper just published in Nature by Beth Levine of the University of Texas Southwestern Medical Centre and her colleagues sheds some light on the matter. [snip]
Dr Levine and her team were testing a theory that exercise works its magic, at least in part, by promoting autophagy. This process, whose name is derived from the Greek for “self-eating”, is a mechanism by which surplus, worn-out or malformed proteins and other cellular components are broken up for scrap and recycled. [snip]
The virtues of recycling
Autophagy is an ancient mechanism, shared by all eukaryotic organisms (those which, unlike bacteria, keep their DNA in a membrane-bound nucleus within their cells). It probably arose as an adaptation to scarcity of nutrients. Critters that can recycle parts of themselves for fuel are better able to cope with lean times than those that cannot. But over the past couple of decades, autophagy has also been shown to be involved in things as diverse as fighting bacterial infections and slowing the onset of neurological conditions like Alzheimer’s and Huntington’s diseases.
Most intriguingly of all, it seems that it can slow the process of ageing. [snip]
The theory is that what are being disposed of in particular are worn-out mitochondria. These structures are a cell’s power-packs. They are where glucose and oxygen react together to release energy. Such reactions, though, often create damaging oxygen-rich molecules called free radicals, which are thought to be one of the driving forces of ageing. Getting rid of wonky mitochondria would reduce free-radical production and might thus slow down ageing. [Stop]
Read full article here:  http://econ.st/z0Fc6U

Snip-its: Changing Brains and Dieting Disaster

Changing brains: why neuroscience is ending the Prozac era

The big money has moved from developing psychiatric drugs to manipulating our brain networks

Vaughan Bell – The Observer
The psychiatric drug age may have reached its peak. Although mind-altering medications are being prescribed in record numbers, signs of a radically new approach to understanding and treating mental illness are emerging from the deep waters of neuroscience. No longer focused on developing pills, a huge research effort is now devoted to altering the function of specific neural circuits by physical intervention in the brain. [snip]
This is largely because [psychotropic] drugs tend not to be very specific in their effects on the brain. [snip]
In its place is a science focused on understanding the brain as a series of networks, each of which supports a different aspect of our experience and behaviour. By this analysis, the brain is a bit like a city: you can’t make sense of the bigger picture without knowing how everything interacts. Relatively few residents of Belfast who live in the Shankill spend their money in the Falls Road and this tells us much more about the city – as these are the key loyalist and republican areas – than knowing that the average income of each area is much the same. Similarly, knowing that key brain areas interact differently when someone gets depressed tells us something important that a measure of average brain activity would miss.
The idea is that we can better understand complex human emotion and behaviour by understanding neural networks. This is where a new wave of interest is beginning to rise within neuroscience. The surge of interest is not with the concepts, which, if truth be told, became common currency in the mid-20th century, but in the extent to which research and treatment are being driven by a desire to identify and modify key brain circuits. [stop]
Please continue reading at:  http://www.theguardian.com/science/2013/sep/22/brains-neuroscience-prozac-psychiatric-drugs?CMP=twt_gu

Daniel Lieberman: ‘Dieting is a disaster for everyone’

Harvard’s professor of human evolutionary biology explains why obesity is the major 21st-century problem – and why we are ill-equipped to deal with it
Can we talk about how humans aren’t adapted to the 21st century?
The big one is obesity. We evolved to put on fat wherever necessary, and that was a good thing in human history. Most people until recently had to work hard and they lived just at the margin of energy balance, and a little bit more energy stored in fat meant that you could have more babies, and your babies were more likely to survive. That was pretty powerful stuff, right? Now we’re in this bizarre situation that for the first time in billions of years of evolution we have an organism that is not energy limited any more.
I’m sure there are just as many articles in the UK as they are in the US about how difficult it is for people who are overweight to lose weight. Dieting really is a disaster for everybody, it takes superhuman effort to lose weight, it can be done but it isn’t easy. And that’s because we’re evolved not only to gain weight but to hold onto it. So if that overweight person starts dieting that’s just as hard as if an underweight person starts dieting, you go into a negative energy balance and all kinds of mechanisms kick in that cause us to become less active, to reshuffle energy around our bodies to defeat that effort to lose weight. So of course obesity is our number one problem.
Daniel Lieberman is a professor of human evolutionary biology at Harvard and has published numerous studies about why the human body looks and behaves the way it does. His new book is Story of the Human Body: Evolution, Health and Disease. One of his current areas of study is the advantages of barefoot running.[Snip]
 
What would be the three main ideas you’d hope people would take away from your book?
First, our bodies are really a hodge-podge of adaptation that accrued over a very long and complex history, that didn’t evolve only to make us healthy but evolved to make our ancestors have lots of offspring. As a result, our bodies don’t do the right things in the environment we live in today.
Point number two is related: the body has evolved but also cultural evolution and natural selection is overwhelming, and the result is a mismatch, we get all kinds of new diseases that we didn’t used to get.
The third one?
The final point is that our instinct when we are sick is to try to treat each other – which is right and proper. But when we have a mismatch disease caused by this poor fit between our bodies and our environments we treat the symptoms only. On the one hand people are living longer and are healthier than probably ever in human history, but also suffering in new ways that are draining the economy. The US is the worst example but the UK isn’t far behind, in terms of how much you are spending in treating chronic non-infectious diseases that are preventable.  We can prevent heart disease, we can prevent flat feet and myopia, but we can only do so if we consider our evolution.
Can we talk about how humans aren’t adapted to the 21st century?
The big one is obesity. We evolved to put on fat wherever necessary, and that was a good thing in human history. [snip]  Dieting really is a disaster for everybody, it takes superhuman effort to lose weight, it can be done but it isn’t easy. And that’s because we’re evolved not only to gain weight but to hold onto it. So if that overweight person starts dieting that’s just as hard as if an underweight person starts dieting, you go into a negative energy balance and all kinds of mechanisms kick in that cause us to become less active, to reshuffle energy around our bodies to defeat that effort to lose weight. So of course obesity is our number one problem.[Stop]

Texas, Where Carbon is King

Take one look at the state-by-state CO2 admission rates and it is immediately apparent that two states stand out from the rest, California and Texas. Of these two, Texas stands head and shoulders over California. Over the span of ten years Texas produced over 7.5 trillion metric tons of CO2, That is more than the 19 lowest emissions states plus D.C. combined. Amost 12% of al the CO2 emissions generated in the United States came from Texas. Californai produced 6.6% while Pensyulvania, Ohio, Florida and Illinois each produce between 4.6% and 4% of the nations CO2 emissions.

What are the implications for carbon conservation when more than one-sixth (18.3%) of all CO2 emissions are coming from just two states? For one thing it suggests that focusing national efforts on Texas and California can produce the biggest improvements in the short term. Furthermore, the data suggests that half the states with the lowest emissions are already working harder to reduce further carbon emissions that higher CO2 producing states. Among the higher CO2 producing states, Florida, Georga, Kentucky, Missouri, Oklahoma, Arizona, Colorodo and South Carolina increased their carbon polution between 2000 and 2010.  Of these, the states with the highest rate of increase were Arazona (9.9%) and Colorado (11.8%). The largest state increase in carbon emissions over ten years was Nabraska (16.0%). So focusing our national effort on just a hand full of states might be the best strategy to make the biggest and quickest improvements in our carbon footprint in the world.
US ENERGY INFORMATION ADMINISTRATION

http://www.eia.gov/environment/emissions/state/analysis/


Release Date:
 May 13, 2013  |  Next Release Date: May 2014  |   full report State-Level Energy-Related Carbon Dioxide Emissions, 2000-2010

Overview
Energy-related carbon dioxide emissions vary significantly across states (Figure 1), whether considered on an absolute or per capita basis. The overall size of a state, as well as the available fuels, types of businesses, climate, and population density, play a role in both total and per capita emissions. Additionally, each state’s energy system reflects circumstances specific to that state. For example, some states are located near abundant hydroelectric supplies, while others contain abundant coal resources.This paper presents a basic analysis of the factors that contribute to a state’s carbon dioxide profile. This analysis neither attempts to assess the effect of state policies on absolute emissions levels or on changes over time, nor does it intend to imply that certain policies would be appropriate for a particular state.
The term “energy-related carbon dioxide emissions” as used in this paper, includes emissions released at the location where fossil fuels are used. For feedstock application, carbon stored in products such as plastics are not included in reported emissions for the states where they are produced.
Table 1. State energy-related carbon dioxide emissions by year (2000 – 2010)
million metric tons carbon dioxide
Change
 2000 to 2010
State 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 Percent Absolute
District of Columbia 4.3 4.1 4.2 3.9 4.0 3.9 3.2 3.4 3.1 3.2 3.3 -23.6% -1.0 40.6
Vermont 6.8 6.6 6.4 6.5 7.0 6.8 6.7 6.6 6.1 6.3 6.0 -10.8% -0.7 71.9
Rhode Island 11.6 12.1 11.6 11.3 10.8 11.0 10.4 11.0 10.6 11.3 11.0 -4.8% -0.6 122.6
South Dakota 14.1 13.4 13.7 13.6 13.7 13.2 13.3 13.9 15.1 14.9 15.1 7.3% 1.0 154.1
Delaware 16.3 15.7 15.5 16.1 16.1 17.0 15.8 16.7 15.9 11.8 11.7 -27.9% -4.5 168.7
Idaho 15.6 15.5 14.9 14.2 15.5 15.7 15.8 16.3 15.8 15.4 16.2 4.0% 0.6 170.9
New Hampshire 17.5 16.9 17.6 20.8 21.9 21.3 19.4 19.3 19.1 17.3 17.0 -2.8% -0.5 208.0
Hawaii 18.8 19.2 20.5 21.5 22.6 23.2 23.5 24.4 19.7 18.9 18.9 0.7% 0.1 231.1
Maine 22.3 22.4 24.0 23.4 24.0 23.1 21.3 21.0 19.4 18.6 18.5 -17.1% -3.8 238.1
Montana 31.3 31.9 30.7 32.7 34.5 35.5 35.8 37.8 36.1 32.5 34.9 11.4% 3.6 373.6
Connecticut 42.8 41.5 39.9 42.3 44.4 43.9 40.9 40.3 38.2 36.5 36.9 -13.7% -5.8 447.7
Oregon 41.2 40.6 39.1 39.3 40.6 41.0 40.3 43.8 43.2 41.2 40.3 -2.4% -1.0 450.6
Nevada 45.3 44.6 41.4 43.4 47.7 49.8 41.5 41.8 41.2 39.7 38.1 -15.9% -7.2 474.3
Alaska 44.3 43.4 43.6 43.5 46.8 48.1 45.8 44.1 39.5 37.9 38.7 -12.6% -5.6 475.6
Nebraska 41.4 42.7 42.2 43.0 43.1 43.5 44.1 44.5 46.5 46.8 48.0 16.0% 6.6 485.7
North Dakota 50.8 51.7 51.4 50.9 49.5 52.4 50.8 52.6 53.1 51.4 52.5 3.3% 1.7 567.1
New Mexico 58.0 58.2 55.2 57.3 58.5 59.1 59.9 59.1 57.6 58.5 54.8 -5.5% -3.2 636.2
Arkansas 63.2 62.4 60.9 61.3 61.9 59.7 61.6 63.1 63.7 61.6 66.1 4.6% 2.9 685.8
Wyoming 62.7 63.0 61.7 63.4 63.4 62.8 63.7 66.1 66.8 63.7 64.9 3.5% 2.2 702.3
Mississippi 60.6 69.4 61.9 63.2 64.8 63.2 65.4 67.7 64.1 60.4 65.5 8.0% 4.9 706.1
Utah 65.1 62.9 62.1 62.7 65.3 67.0 68.3 70.4 69.9 65.0 64.2 -1.3% -0.9 723.0
Kansas 76.1 71.8 76.6 78.4 75.8 72.0 72.1 80.1 76.9 75.0 75.0 -1.3% -1.0 829.7
Maryland 77.5 78.0 77.9 80.4 82.0 83.9 77.5 78.1 74.7 71.4 70.5 -9.0% -7.0 852.0
Washington 82.8 79.4 72.8 74.5 76.7 78.3 76.3 81.8 79.6 77.5 76.1 -8.1% -6.7 855.9
Massachusetts 82.2 82.1 82.9 83.8 82.6 84.3 76.4 80.0 77.2 71.0 73.0 -11.2% -9.2 875.6
Iowa 77.7 76.6 77.2 76.4 78.9 78.9 80.2 85.7 88.3 83.8 88.7 14.1% 11.0 892.4
South Carolina 79.3 78.0 79.2 79.5 87.1 85.7 86.4 87.0 85.5 80.7 84.0 5.9% 4.7 912.5
Colorado 84.7 92.8 90.9 90.0 93.1 95.4 96.4 99.2 97.6 93.7 96.5 13.9% 11.8 1,030.3
Arizona 86.0 88.3 87.7 89.3 96.6 96.7 100.0 102.2 103.1 94.6 95.9 11.6% 9.9 1,040.5
Minnesota 97.7 94.7 97.3 101.0 100.6 101.7 99.1 100.9 100.6 93.1 93.4 -4.4% -4.3 1,080.3
Wisconsin 107.5 105.5 106.7 104.3 107.1 110.5 102.7 104.7 105.7 96.7 99.2 -7.7% -8.3 1,150.6
Oklahoma 100.1 101.4 101.6 103.5 99.8 106.9 110.2 109.6 113.1 104.9 103.4 3.4% 3.4 1,154.5
West Virginia 113.4 103.5 116.2 112.5 109.8 111.9 112.2 114.6 110.6 89.1 98.9 -12.7% -14.4 1,192.8
Virginia 122.3 120.0 118.5 122.2 126.5 128.5 122.0 127.7 117.4 106.3 109.8 -10.2% -12.5 1,321.3
Tennessee 125.2 124.2 123.2 120.9 123.0 124.6 127.0 126.7 120.3 100.3 107.1 -14.5% -18.1 1,322.4
New Jersey 121.1 118.5 118.9 119.8 122.6 127.6 120.2 128.6 124.3 110.4 115.4 -4.7% -5.7 1,327.5
Missouri 125.4 131.1 131.8 138.3 140.0 143.0 141.6 140.8 137.9 131.6 135.7 8.2% 10.3 1,497.2
Alabama 140.4 132.0 136.7 137.2 139.7 141.5 144.0 146.1 139.2 119.8 132.7 -5.5% -7.7 1,509.3
North Carolina 147.7 143.1 144.3 144.7 148.2 152.7 147.4 153.6 149.0 132.9 142.9 -3.3% -4.8 1,606.4
Kentucky 144.7 148.1 148.3 143.9 150.9 153.2 156.1 156.4 153.7 143.7 150.7 4.2% 6.1 1,649.7
Georgia 167.9 160.3 165.1 167.5 173.3 183.9 181.5 184.6 173.5 163.4 173.7 3.4% 5.8 1,894.7
Michigan 192.6 188.5 187.9 184.7 187.4 189.3 178.2 181.2 175.2 164.4 165.9 -13.9% -26.7 1,995.1
New York 211.4 206.7 200.8 210.1 213.9 210.7 192.5 199.4 190.5 175.5 172.8 -18.3% -38.6 2,184.4
Louisiana 239.9 211.9 219.8 214.6 226.2 221.7 236.0 234.5 221.7 203.9 223.5 -6.8% -16.4 2,453.6
Indiana 238.2 228.6 231.7 236.9 237.8 236.7 235.0 234.7 231.5 208.5 219.1 -8.0% -19.1 2,538.6
Illinois 232.1 223.1 225.1 227.7 235.2 242.0 233.9 242.1 240.7 226.1 230.4 -0.7% -1.7 2,558.3
Florida 239.2 238.1 241.3 244.9 257.3 260.9 259.5 257.8 240.2 226.3 246.0 2.8% 6.7 2,711.7
Ohio 264.0 254.5 260.3 267.4 262.5 269.7 263.0 268.9 261.9 237.6 249.1 -5.6% -14.9 2,858.9
Pennsylvania 276.3 263.4 270.1 273.0 276.6 280.0 274.1 277.6 264.9 246.0 256.6 -7.1% -19.7 2,958.7
California 381.3 385.8 384.9 389.5 391.5 389.0 397.5 403.7 389.8 375.9 369.8 -3.0% -11.4 4,258.6
Texas 711.3 704.1 715.8 706.4 709.7 677.8 675.2 676.7 653.3 624.9 652.6 -8.3% -58.8 7,507.7
Total1 5,879.9 5,772.4 5,810.0 5,857.5 5,968.8 6,000.4 5,921.6 6,029.0 5,842.9 5,441.8 5,631.3 -4.2% -248.6 64,155.6
1For the United States as a country see, EIA, Monthly Energy Review, Section 12: Environment.  Differing methodologies between the two data series causes
the total for all states to be slightly different from the national-level estimate.  The amount varies no more than 0.5 percent.  See Appendix A for details on
the data series differences.
Source:  U.S. Energy Information Administration (EIA), State Energy Data System and EIA calculations made for this analysis.
Note:  The District of Columbia is included in the data tables, but not in the analysis as it is not a state.

Obesity, Metabolic Disease and Pathways to a Cure

What follows is my abridged version of one of the most significant summaries of research into diet and human health.  This article was written by Moises Velasquez-Manoff  for Mother Jones in April of 2013. When you go to the full text of this article you will also find a video and other helpful information.  The focus of this abridgement is to present the key advances in our understanding of diet, obesity and metabolic syndrome.  Omitted are the implications and recommendations with respect to dietary changes. I would recommend that you read the full article at Mother Jones. The URL Web address is below.

Are Happy Gut Bacteria Key to Weight Loss?

by Moises Velasquez-Manoff

[Abridged version for readers of DataDrivenViewPoints.com]

MOTHER JONES – April 22, 2013

http://m.motherjones.com/environment/2013/04/gut-microbiome-bacteria-weight-loss

Highest-Calorie-Foods

In 2004 a curious diabetes specialist in Buffalo, New York, named Dr. Paresh Dandona, fed nine normal-weight volunteers an egg sandwich with cheese and ham, a sausage muffin sandwich, and two hash brown patties to see what effect this had on their bodies.

He found that levels of a C-reactive protein, an indicator of systemic inflammation, shot up “within literally minutes,” and remained elevated for hours. Inflammation is a natural and important part of our immune system response, but inflammation can also cause collateral damage, especially when the response is overwhelming—like in septic shock—or when it goes on too long.

Chronic, low-grade inflammation has long been recognized as a feature of metabolic syndrome, a cluster of dysfunctions that tends to precede full-blown diabetes and that also increases the risk of heart disease, stroke, certain cancers, and even dementia—the top killers of the developed world. The syndrome includes a combination of elevated blood sugar and high blood pressure, low “good” cholesterol, and an abdominal cavity filled with fat, often indicated by a “beer belly.” Could chronic systemic inflammation (CSI), in fact, be a major cause of metabolic syndrome disorder? A fast-food breakfast inflamed, he found, but a high-fiber breakfast with lots of fruit did not. A breakthrough came in 2007 when he discovered that while sugar water, a stand-in for soda, caused inflammation, orange juice—even though it contains plenty of sugar—didn’t.

This time, along with their two-sandwich, two-hash-brown, 910-calorie breakfast, one-third of his volunteers—10 in total—quaffed a glass of fresh OJ. The non-juice drinkers, half of whom drank sugar water, and the other half plain water, had the expected response—inflammation and elevated blood sugar. But the OJ drinkers had neither elevated blood sugar nor inflammation. The juice seemed to shield their metabolism. “It just switched off the whole damn thing,” Dandona says. Other scientists have since confirmed that OJ has a strong anti-inflammatory effect.

What caught Dandona’s attention was increased blood levels of a substance called endotoxin. This molecule comes from the outer walls of certain bacteria. If endotoxin levels rise, our immune system perceives a threat and responds with inflammation. Where had the endotoxin come from? We all carry a few pounds’ worth of microbes in our gut, a complex ecosystem collectively called the microbiota. The endotoxin, Dandona suspected, originated in this native colony of microbes. Somehow, a greasy meal full of refined carbohydrates ushered it from the gut, where it was always present but didn’t necessarily cause harm, into the bloodstream, where it did. But orange juice stopped that translocation cold.

If what some scientists now suspect about the interplay of food and intestinal microbes pans out, it could revolutionize the $66 billion weight loss industry—and help control the soaring $2.7 trillion we spend on health care yearly. “What matters is not how much you eat,” Dandona says, “but what you eat.”

Scientists now suspect that our microbial communities contribute to a number of diseases, from allergic disorders like asthma and hay fever, to inflammatory conditions like Crohn’s disease, to cancer, heart disease, and obesity. As newborns, we encounter our first microbes as we pass through the birth canal. Until that moment, we are 100 percent human. Thereafter, we are, numerically speaking, 10 percent human, and 90 percent microbe. Our microbiome contains at least 150 times more genes, collectively, than our human genome.

The importance of intestinal microbes to our health has grown increasingly evident. Animals raised without microbes essentially lack a functioning immune system. Entire repertoires of white blood cells remain dormant; their intestines don’t develop the proper creases and crypts; their hearts are shrunken; genes in the brain that should be in the “off” position remain stuck “on.” Without their microbes, animals aren’t really “normal.”

Scientists now suspect that our microbial communities contribute to a number of human diseases, from allergic disorders like asthma and hay fever, to inflammatory conditions like Crohn’s disease, to cancer, heart disease, and obesity. As newborns, we encounter our first microbes as we pass through the birth canal. Until that moment, we are 100 percent human. Thereafter, we are, numerically speaking, 10 percent human, and 90 percent microbe. Our microbiome contains at least 150 times more genes, collectively, than our human genome. Sometime in childhood, the bustling community of between 500 and 1,000 species stabilizes.

Our stool is roughly half living bacteria by weight. Every day, food goes in one end and microbes come out the other. The human gut is roughly 26 feet in length. Hammered flat, it would have a surface area of a tennis court. Seventy percent of our immune activity occurs there. The gut has its own nervous system; it contains as many neurons as the spinal cord. About 95 percent of the body’s serotonin, a neurotransmitter usually discussed in the context of depression, is produced in the gut. So the gut isn’t just where we absorb nutrients. It’s also an immune hub and a second brain. And it’s crawling with microbes. They don’t often cross the walls of the intestines into the blood stream, but they nevertheless change how the immune, endocrine, and nervous systems all work on the other side of the intestine wall.

Science doesn’t know exactly what goes wrong with our microbes in disease situations but a loss of intentional microbe diversity appears to correlate with the emergence of illness. Children in the developing world have many more types of microbes than kids in Europe or North America yet develop have fewer allergies and less asthma. In the developed world, children raised in microbially rich environments—with pets, on farms, or attending day care—have a lower risk of allergic disease.

Some studies find that babies born by C-section, deprived of their mother’s vaginal microbes at birth, have a higher risk of celiac disease, Type 1 diabetes, and obesity. Early-life use of antibiotics—which tear through our microbial ecosystems like a forest fire—has also been linked to allergic disease, inflammatory bowel disease, and obesity. Those who study human microbial communities fret that they are undergoing an extinction crisis.

If our microbiota plays a role in keeping us healthy, then how about attacking disease by treating the microbiota? After all, our community of microbes is quite plastic. New members can arrive and take up residence. Old members can get flushed out. Member ratios can shift. So the microbiota represents a huge potential leverage point in our quest to treat, and prevent, chronic disease. In particular, the “forgotten organ,” as some call the microbiota, may hold the key to addressing our single greatest health threat: obesity.

One-third of Americans are now considered overweight, and another third obese. Worldwide, one-fourth of humanity is too heavy, according to the World Health Organization. One-third of Americans are now considered overweight, and another third obese. Worldwide, one-fourth of humanity is too heavy, according to the World Health Organization.

The long-dominant explanation is simply that too little exercise and too many calories equals too much stored fat. The solution: more exercise and a lot more willpower. But there’s a problem with this theory: In the developed world, most of us consume more calories than we really need, but we don’t gain weight proportionally. If you run a daily surplus of just 500 calories you should gain a pound of fat per week, but we either gain weight much more slowly, or don’t gain weight at all.

Some corpulent people, meanwhile, have metabolisms that work fine. Their insulin and blood sugar levels are within normal range. Their livers are healthy, not marbled with fat. And some thin people have metabolic syndrome, often signaled by a beer gut. They suffer from fatty liver, insulin resistance, elevated blood sugar, high blood pressure, and low-grade, systemic inflammation. From a public health perspective, these symptoms are where the real problem lies—not necessarily how well we fit into our jeans.

In one study, mice raised without any intestinal microbes could gorge on food without developing metabolic syndrome or growing obese. But when colonized with their native microbes, these mice quickly became insulin resistant and grew fat, all while eating less food. Another researcher suspected that low-level inflammation might be the cause for this. To prove the principle, he gave mice a low dose of endotoxin, that molecule that resides in the outer walls of certain bacteria. The mice’s livers became insulin resistant; the mice became obese and developed diabetes. A high-fat diet alone produced the same result: Endotoxin leaked into circulation; inflammation took hold; the mice grew fat and diabetic. Then came the bombshell. The mere addition of soluble plant fibers called oligosaccharides, found in things like bananas, garlic, and asparagus, prevented the entire cascade—no endotoxin, no inflammation, and no diabetes. Oligosaccharides are one form of what’s known as a “prebiotic”.

Cani had essentially arrived at the same place as Dandona with his freshly squeezed orange juice. Junk food caused nasty microbes to bloom, and friendly bugs to decline. Permeability of the gut also increased, meaning that microbial byproducts—like that endotoxin—could more easily leak into circulation and spur inflammation. Simply adding prebiotics—in this case, Bifidobacteria—kept the gut tightly sealed, preventing the entire cascade. Our sweet and greasy diet changes gut permeability and alters the makeup of our microbial organ. Our “friendly” community of microbes becomes pathogenic, leaking noxious byproducts where they don’t belong.

Probiotics are bacteria thought to be beneficial to digestion, like the lactobacilli and other bacteria in some yogurts. In the future probiotics might be bacteria derived from those found in Amazonian Indians, rural Africans, even the Amish—people, in other words, who retain a microbial diversity that the rest of us may have lost.

Ultimately, the strongest evidence to support microbial involvement in obesity may come from a procedure that, on the face of it, has nothing to do with microbes: gastric bypass surgery. The surgery, which involves creating a detour around the stomach, is the most effective intervention for morbid obesity—far more effective than dieting.

Originally, scientists thought it worked by limiting food consumption. But it’s increasingly obvious that’s not how the procedure works. The surgery somehow changes expression of thousands of genes in organs throughout the body, resetting the entire metabolism. In March, Lee Kaplan, director of the Massachusetts General Hospital Weight Center in Boston, published a study in Science Translational Medicine showing a substantial microbial contribution to that resetting.

He began with three sets obese mice, all on a high-fat diet. The first set received a sham operation—an incision in the intestine that didn’t really change much, but was meant to control for the possibility that trauma alone could cause weight loss. These mice then resumed their high fat diet. A second set also received a sham operation, but was put on a calorically restricted diet. The third group received gastric bypass surgery, but was then allowed to eat as it pleased. As expected, both the bypass mice and dieted mice lost weight. But only the bypass mice showed normalization of insulin and glucose levels. Without that normalization, says Kaplan, mice and people alike inevitably regain lost weight.

To test the microbial contribution to these outcomes, Kaplan transplanted the microbiota from each set to germ-free mice. Only rodents colonized with microbes from the bypass mice lost weight, while actually eating more than mice colonized with microbes from the other groups. In humans, some studies show a rebound of anti-inflammatory bacteria after gastric-bypass surgery. Dandona has also noted a decline in circulating endotoxin after the procedure. If we understand the mechanism by which the microbiota shifts, he says, perhaps we can induce the changes without surgery.

NOT EVERYONE ACCEPTS that inflammation drives metabolic syndrome and obesity. And even among the idea’s proponents, no one claims that all inflammation emanates from the microbiota. Moreover, if you accept that inflammation contributes to obesity, then you’re obligated to consider all the many ways to become inflamed. The odd thing is, many of them are already implicated in obesity.

Particulate pollution from tailpipes and factories, linked to asthma, heart disease, and obesity, is known to be a cause of inflammation. So is chronic stress. And risk factors may interact with each other: In macaque troops, the high-ranking females, which experience less stress, can eat more junk food without developing metabolic syndrome than the more stressed, lower-ranking females. Epidemiologists have made similar observations in humans. Poorer people suffer the consequences of lousy dietary habits more than do those who are wealthier. The scientists who study this phenomenon call it “status syndrome.”

Exercise, meanwhile, is anti-inflammatory, which may explain why a brisk walk can immediately improve insulin sensitivity. Exercise may also fortify healthy brown fat, which burns off calories rather than storing them, like white fat does. This relationship may explain how physical activity really helps us lose weight. Yes, exercise burns calories, but the amount is often trivial. Just compensating for that bagel you ate for breakfast—roughly 290 calories—requires a 20-minute jog.

Then there’s the brain. Michael Schwartz, director of the Diabetes and Obesity Center of Excellence at the University of Washington in Seattle, has found that the appetite regulation center of the brain—the hypothalamus—is ofteninflamed and damaged in obese people. He can reproduce this damage by feeding mice a high-fat diet; chronic consumption of junk food, it seems, injures this region of the brain. Crucially, the brain inflammation precedes weight gain, suggesting that the injury might cause, or at least contribute to, obesity. In other words, by melting down our appetite control centers, junk food may accelerate its own consumption, sending us into a kind of vicious cycle where we consume more of the poison wreaking havoc on our physiology.

Of course there’s a genetic contribution to obesity. But even here, inflammation rears its head. Some studies suggest that gene variants that increase aspects of immune firepower are over-represented among obese individuals. In past environments, these genes probably helped us fight off infections. In the context of today’s diet, however, they may increase the risk of metabolic syndrome.

Biologically simple, processed foods may cultivate a toxic microbial community, not unlike the algal blooms that result in oceanic “dead zones.” In fact, scientists really do observe a dead zone of sorts when they peer into the obese microbiota. Microbes naturally form communities. In obese people, not only are anti-inflammatory microbes relatively scarce, diversity in general is depleted, and community structure degraded. Microbes that, in ecological parlance, we might call weedy species—the rats and cockroaches of your inner world—scurry around unimpeded. What’s the lesson? Junk food may produce a kind of microbial anarchy. Opportunists flourish as the greater structure collapses. Cooperative members get pushed aside. And you, who both contain and depend on the entire ecosystem, pay the price.

[This abridged version is provided for public use. See https://datadrivenviewpoints.com/fair-use-notice/]

Is Our Obesity Epidemic a Result of the War on Wages?

America has a growing obesity epidemic. This we know for certain. We also know that obesity is far more prevalent among poor Americans and that more and more Americans are slipping into poverty.  Real, inflation adjusted wages have been stagnant for over 30 years. Current wages are in decline and the number of people below the poverty line is near an all time high. 

 obesity-700x400

What is the link between poverty and obesity?  It is a fact that the five states with the greatest obesity levels are also among the ten poorest states.  They are also among the states with the lowest life expectancy. One theory as to why the poor are more likely to be obese is that they don’t have access to healthy foods in poor neighborhoods. 

In April of this year the New York Times published an article highlighting two recent studies that looked at whether people in poor communities had access to stores and supermarkets that sold fresh, healthy foods. These  two studies found that the poor have as much, or more access to stores selling healthy foods. One study found that poor neighborhoods have twice as many fast food restaurants and corner stores, but almost twice as many supermarkets as well. So the “food desert” theory of why poor American are more obese appears to be false. 

A second theory on the connection between obesity and the poor is that they can’t afford to eat healthy. This is the “calories are cheap, nutrition is expensive” theory.  Supporting this notion a recent American Journal of Clinical Nutrition  study that found  $1 could buy 1,200 calories of potato chips but just 250 calories of vegetables and 170 calories of fresh fruit.  An excellent CNN article recently reported that:

“Ground beef that is 80/20 is fattier but cheaper than 90/10. Ground turkey breast is leaner than the other two but is usually the more expensive. And many of us can’t even begin to think about free-range chicken and organic produce — food without pesticides and antibiotics that’ll cost you a second mortgage in no time at all.”

And the cost of groceries is rising.  The U.S. Department of Agriculture estimated the weekly grocery bill for a family of four was about at $134.50 in 2010 and $141.20 in 2011. An extra $7.00 per week is a lot for families living below the poverty line, especial when family incomes are in decline.

Other recent research also suggests a strong link between poverty, obesity and US food policy.  While genetics may play a role in obesity, socioeconomic class may be a better predictor of obesity.

AcademicEarth.org has posted a brief video on their Website explaining this link that also relates it to current U.S. food policies.  They report that Americans today eat 25% more calories than they did in the 1970’s (the same time period when hourly wages stopped rising with hourly productivity).  The additional calorie intake is skewed towards lower income families.  This important video federal food subsidies and other U.S. policies may be directly contributing to the current obesity crisis.  Please view the video here:   http://academicearth.org/electives/the-economic-cost-of-obesity/.

 

Created by AcademicEarth.org

Teen Pregnancy and the Bible Belt

What does the following two graphic images have to say about teenage pregnancy and religion? It might be a coincidence that the most conservative religious states have the most teenage pregnancies, but it might also be that both of these factors are related to some other factor.  The researchers who studied this data suggest that it may be conservative religious views on birth control (and abortion?) that are causing this result. What can be said for sure is teenage sexual activity doesn’t appear to be less prevalent in more religiously conservative areas of the country.

 

1TeenPregnancyMap

Religiosity and teen birth rate in the United States

Joseph M Strayhorn1,2* and Jillian C Strayhorn3

http://www.reproductive-health-journal.com/content/6/1/14

Abstract

Background

The children of teen mothers have been reported to have higher rates of several unfavorable mental health outcomes. Past research suggests several possible mechanisms for an association between religiosity and teen birth rate in communities.

Methods

The present study compiled publicly accessible data on birth rates, conservative religious beliefs, income, and abortion rates in the U.S., aggregated at the state level. Data on teen birth rates and abortion originated from the Center for Disease Control; on income, from the U.S. Bureau of the Census, and on religious beliefs, from the U.S. Religious Landscape Survey carried out by the Pew Forum on Religion and Public Life. We computed correlations and partial correlations.

Results

Increased religiosity in residents of states in the U.S. strongly predicted a higher teen birth rate, with r = 0.73 (p < 0.0005). Religiosity correlated negatively with median household income, with r = -0.66, and income correlated negatively with teen birth rate, with r = -0.63. But the correlation between religiosity and teen birth rate remained highly significant when income was controlled for via partial correlation: the partial correlation between religiosity and teen birth rate, controlling for income, was 0.53 (p < 0.0005). Abortion rate correlated negatively with religiosity, with r = -0.45, p = 0.002. However, the partial correlation between teen birth rate and religiosity remained high and significant when controlling for abortion rate (partial correlation = 0.68, p < 0.0005) and when controlling for both abortion rate and income (partial correlation = 0.54, p = 0.001).

Conclusion

With data aggregated at the state level, conservative religious beliefs strongly predict U.S. teen birth rates, in a relationship that does not appear to be the result of confounding by income or abortion rates. One possible explanation for this relationship is that teens in more religious communities may be less likely to use contraception.

Cancers Today From Radiation Releases by US Gov’t in 1950’s?

The following is a partial repost of an article to be found in Robert Parry’s Consortiumnews.com web site.  This is an excellent site to read investigative jouralism.  The article was written by John LaForge who works for Nukewatch, a nuclear watchdog group in Wisconsin.  He also edits its Quarterly newsletter, and is syndicated through PeaceVoice.

Reaping the Seeds of Nuke Tests

March 28, 2013

The warnings about fallout from nuclear tests six decades ago often noted that cancers from the radiation would probably not begin appearing in large numbers for many years. But that time is now – and medical experts are wondering whether the surge in some cancers is a result, writes John LaForge.

By John LaForge

Back in the 1950s and 1960s, the Atomic Energy Commission doused the entire United States with thyroid cancer-causing iodine-131 — and 300 other radioisotopes — by exploding atomic and hydrogen bombs above ground. To protect the dirty, secretive, militarized bomb-building industry, the government chose to warn the photographic film industry about the radioactive fallout patterns, but not the general public.

In 1951, the Eastman Kodak Company had threatened a federal lawsuit over the nuclear fallout that was fogging its bulk film shipments. Film was not packed in bubble wrap then, but in corn stalks that were sometimes being fallout-contaminated.

During nuclear bomb drills in the 1950s, school children were ordered to hide under their desks.

By agreeing to warn Kodak, etc., the AEC and the bomb program avoided the public uproar — and the bomb testing program’s possible cancellation — that a lawsuit would have precipitated. The settlement kept the deadliness of the fallout hidden from farmers and the public, even though the government well knew that fallout endangered all the people it was supposed to be defending.

This staggering revelation was heralded on Sept. 30, 1997, in the New York Times headline, “U.S. Warned Film Plants, Not Public, About Nuclear Fallout.” The article began, “[W]hile the Government reassured the public that there was no health threat from atmospheric nuclear tests…” The fallout’s radioactive iodine-131 delivered thyroid doses to virtually all 160 million people in the U.S. at the time.  Continue reading here: http://consortiumnews.com/2013/03/28/reaping-the-seeds-of-nuke-tests/