{"id":250,"date":"2014-10-10T10:33:00","date_gmt":"2014-10-10T16:33:00","guid":{"rendered":"http:\/\/admin.patheos.com\/blogs\/janetheactuary\/2014\/10\/some-data-on-causes-of-death.html"},"modified":"2015-02-26T23:17:25","modified_gmt":"2015-02-27T05:17:25","slug":"some-data-on-causes-of-death","status":"publish","type":"post","link":"https:\/\/www.patheos.com\/blogs\/janetheactuary\/2014\/10\/some-data-on-causes-of-death.html","title":{"rendered":"Some data on causes of death"},"content":{"rendered":"\n<\/head>

Here\u2019s a nice interactive table <\/a>on causes of death \u2013 specify the age range and sex, and see the sorted data. \u00a0Commentary later . . .<\/p>\n

UPDATE:<\/p>\n

As a follow-up on my \u201cbreast cancer awareness\u201d rant<\/a> from this morning, here\u2019s a summary of the top causes for individuals under age 75 (because, as you know from Zeke Emmanuel, 75s and up are just useless eaters anyway; and you\u2019ve got to die of something, so \u201c75 and under\u201d seems like a good marker of \u201cpremature death). \u00a0Note that below \u201cother cancers\u201d means \u201ccancers that aren\u2019t specifically listed separately\u201d such as the other ones shown here but also ovarian cancer, liver cancer, and others.<\/p>\n\n\n\n\n\n\n\n\n
\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Top causes of death for individuals under 75<\/b><\/td>\n<\/td>\n<\/tr>\n
Men<\/b><\/td>\n<\/td>\n<\/td>\nWomen<\/b><\/td>\n<\/td>\n<\/tr>\n
Heart disease<\/td>\n95,880<\/td>\n<\/td>\nHeart disease<\/td>\n40,853<\/td>\n<\/tr>\n
Lung cancers\u00a0<\/td>\n53,632<\/td>\n<\/td>\nLung cancers\u00a0<\/td>\n39,765<\/td>\n<\/tr>\n
Other cancers<\/td>\n32,299<\/td>\n<\/td>\nBreast cancer<\/td>\n25,841<\/td>\n<\/tr>\n
Suicide<\/td>\n27,654<\/td>\n<\/td>\nLung disease<\/td>\n23,959<\/td>\n<\/tr>\n
Lung disease<\/td>\n25,364<\/td>\n<\/td>\nOther cancers<\/td>\n21,829<\/td>\n<\/tr>\n
Road traffic accidents<\/td>\n22,169<\/td>\n<\/td>\nStroke<\/td>\n16,984<\/td>\n<\/tr>\n
Poisoning<\/td>\n20,869<\/td>\n<\/td>\nDiabetes<\/td>\n14,236<\/td>\n<\/tr>\n
Diabetes<\/td>\n20,331<\/td>\n<\/td>\nColo-rectal cancer<\/td>\n11,604<\/td>\n<\/tr>\n
Stroke<\/td>\n20,236<\/td>\n<\/td>\nPoisoning<\/td>\n11,601<\/td>\n<\/tr>\n
Liver Disease<\/td>\n18,307<\/td>\n<\/td>\nHypertension<\/td>\n9,321<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
<\/div>\n
So if you look at the sexes individually, the data for women clearly shows that, as the Go Red campaign tells us, women are at greater risk of dying from heart disease than breast cancer. \u00a0(Lung cancer prevention is, I imagine, covered fairly well by anti-smoking campaigns, though the fact that most lung cancer is due to smoking means that there\u2019s very little interest in treatment or cures for the disease.) \u00a0<\/div>\n
<\/div>\n
But if you look at the data for men and women side-by-side, heart disease is a massive problem for men \u2014 and, last I checked, there is no \u201cGo Red for Men\u201d campaign to accompany the campaign for women\u2019s heart health. \u00a0No specially-marked packages of bacon to go along with the special yogurt cups, for instance.<\/div>\n
<\/div>\n
Lung cancer is high for both men and women. \u00a0<\/div>\n
<\/div>\n
But here\u2019s what I didn\u2019t expect: \u00a0more men die from suicide <\/i>than women die of breast cancer. \u00a0<\/div>\n
<\/div>\n
Just let that sink in.<\/div>\n
<\/div>\n
Does suicide have its own special color? \u00a0Does the NFL have a special themed uniforms? \u00a0<\/div>\n
<\/div>\n
Here\u2019s another surprise: \u00a0suicides do not primarily occur among young men. \u00a0Here\u2019s another table: \u00a0more suicides among middle-aged men than teens and young adults.<\/div>\n
<\/div>\n
\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
<\/td>\nSuicide<\/b><\/td>\nBreast Cancer<\/b><\/td>\n<\/tr>\n
<\/td>\n(Men) <\/b>\n
<\/div>\n<\/td>\n
(Women)<\/b><\/td>\n<\/tr>\n
all deaths<\/td>\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 30,271 <\/td>\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 40,996 <\/td>\n<\/tr>\n
0 \u2013 14<\/td>\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 187 <\/td>\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u2013\u00a0\u00a0 <\/td>\n<\/tr>\n
15- 24<\/td>\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 3,771 <\/td>\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 6 <\/td>\n<\/tr>\n
25 \u2013 34<\/td>\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 4,643 <\/td>\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 322 <\/td>\n<\/tr>\n
35 \u2013 44<\/td>\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 5,033 <\/td>\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 2,032 <\/td>\n<\/tr>\n
45 \u2013 54<\/td>\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 6,733 <\/td>\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 5,876 <\/td>\n<\/tr>\n
55 \u2013 64<\/td>\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 4,869 <\/td>\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 9,015 <\/td>\n<\/tr>\n
65 \u2013 74<\/td>\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 2,418 <\/td>\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 8,590 <\/td>\n<\/tr>\n
75+<\/td>\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 2,617 <\/td>\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 15,155 <\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

It is true that adding in the 75+ deaths does mean that breast cancer is more deadly overall because of the imbalance among the elderly. \u00a0But still . . .\u00a0<\/p><\/div>\n

<\/div>\n
Anyway, yes, it\u2019s a bit misleading just to look at death statistics, since (a) deaths due to breast cancer are only a part of the picture and the women who undergo expensive, traumatic and disabling treatment need help, too, and (b) one might say (though I haven\u2019t looked at deaths over time) that breast cancer death rates are low precisely because of all the \u201cawareness\u201d and fundraising and research, and would go back up if people let up on their efforts.<\/div>\n<\/body><\/html>\n","protected":false},"excerpt":{"rendered":"

Here\u2019s a nice interactive table on causes of death \u2013 specify the age range and sex, and see the sorted data. \u00a0Commentary later . . . UPDATE: As a follow-up on my \u201cbreast cancer awareness\u201d rant from this morning, here\u2019s a summary of the top causes for individuals under age 75 (because, as you know […]<\/p>\n","protected":false},"author":2209,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[188,102],"class_list":["post-250","post","type-post","status-publish","format-standard","hentry","category-uncategorized","tag-breast-cancer","tag-suicide"],"yoast_head":"\nSome data on causes of death<\/title>\n<meta name=\"description\" content=\"Here's a nice interactive table on causes of death - specify the age range and sex, and see the sorted data.  Commentary later . . .UPDATE:As a\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.patheos.com\/blogs\/janetheactuary\/2014\/10\/some-data-on-causes-of-death.html\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Some data on causes of death\" \/>\n<meta property=\"og:description\" content=\"Here's a nice interactive table on causes of death - 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